diff --git a/MacLab-Era3D-512-6view/feature_extractor/preprocessor_config.json b/MacLab-Era3D-512-6view/feature_extractor/preprocessor_config.json
deleted file mode 100644
index 2dde7c28518f97616b8a3a0d0f6ea83036d8a080..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/feature_extractor/preprocessor_config.json
+++ /dev/null
@@ -1,27 +0,0 @@
-{
-  "crop_size": {
-    "height": 224,
-    "width": 224
-  },
-  "do_center_crop": true,
-  "do_convert_rgb": true,
-  "do_normalize": true,
-  "do_rescale": true,
-  "do_resize": true,
-  "image_mean": [
-    0.48145466,
-    0.4578275,
-    0.40821073
-  ],
-  "image_processor_type": "CLIPImageProcessor",
-  "image_std": [
-    0.26862954,
-    0.26130258,
-    0.27577711
-  ],
-  "resample": 3,
-  "rescale_factor": 0.00392156862745098,
-  "size": {
-    "shortest_edge": 224
-  }
-}
diff --git a/MacLab-Era3D-512-6view/image_encoder/config.json b/MacLab-Era3D-512-6view/image_encoder/config.json
deleted file mode 100644
index 8f658622f3d0f9b443c7a053a9b40c0a16c39d9b..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/image_encoder/config.json
+++ /dev/null
@@ -1,23 +0,0 @@
-{
-  "_name_or_path": "stabilityai/stable-diffusion-2-1-unclip",
-  "architectures": [
-    "CLIPVisionModelWithProjection"
-  ],
-  "attention_dropout": 0.0,
-  "dropout": 0.0,
-  "hidden_act": "gelu",
-  "hidden_size": 1280,
-  "image_size": 224,
-  "initializer_factor": 1.0,
-  "initializer_range": 0.02,
-  "intermediate_size": 5120,
-  "layer_norm_eps": 1e-05,
-  "model_type": "clip_vision_model",
-  "num_attention_heads": 16,
-  "num_channels": 3,
-  "num_hidden_layers": 32,
-  "patch_size": 14,
-  "projection_dim": 1024,
-  "torch_dtype": "float16",
-  "transformers_version": "4.37.2"
-}
diff --git a/MacLab-Era3D-512-6view/image_encoder/model.safetensors b/MacLab-Era3D-512-6view/image_encoder/model.safetensors
deleted file mode 100644
index 29848b356a3062d1da3b773a82d62de5e49a8f89..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/image_encoder/model.safetensors
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ae616c24393dd1854372b0639e5541666f7521cbe219669255e865cb7f89466a
-size 1264217240
diff --git a/MacLab-Era3D-512-6view/image_noising_scheduler/scheduler_config.json b/MacLab-Era3D-512-6view/image_noising_scheduler/scheduler_config.json
deleted file mode 100644
index df399306322e67f27483e4810e0faec617d3c817..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/image_noising_scheduler/scheduler_config.json
+++ /dev/null
@@ -1,19 +0,0 @@
-{
-  "_class_name": "DDPMScheduler",
-  "_diffusers_version": "0.26.0.dev0",
-  "beta_end": 0.02,
-  "beta_schedule": "squaredcos_cap_v2",
-  "beta_start": 0.0001,
-  "clip_sample": true,
-  "clip_sample_range": 1.0,
-  "dynamic_thresholding_ratio": 0.995,
-  "num_train_timesteps": 1000,
-  "prediction_type": "epsilon",
-  "rescale_betas_zero_snr": false,
-  "sample_max_value": 1.0,
-  "steps_offset": 0,
-  "thresholding": false,
-  "timestep_spacing": "leading",
-  "trained_betas": null,
-  "variance_type": "fixed_small"
-}
diff --git a/MacLab-Era3D-512-6view/image_normalizer/config.json b/MacLab-Era3D-512-6view/image_normalizer/config.json
deleted file mode 100644
index 46ce02714276ea5751ed64534ba8355043ec2ba3..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/image_normalizer/config.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "_class_name": "StableUnCLIPImageNormalizer",
-  "_diffusers_version": "0.26.0.dev0",
-  "_name_or_path": "stabilityai/stable-diffusion-2-1-unclip",
-  "embedding_dim": 1024
-}
diff --git a/MacLab-Era3D-512-6view/image_normalizer/diffusion_pytorch_model.safetensors b/MacLab-Era3D-512-6view/image_normalizer/diffusion_pytorch_model.safetensors
deleted file mode 100644
index c4ca8a3baa2678a6795ee7199c4c1557e1a7020f..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/image_normalizer/diffusion_pytorch_model.safetensors
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7772cf09639cea0c65639a3bfc88004a66d42259090d03fa8e15efdc255f240a
-size 4272
diff --git a/MacLab-Era3D-512-6view/model_index.json b/MacLab-Era3D-512-6view/model_index.json
deleted file mode 100644
index 24b782f8f7fb73f5c67d2d474cb3c424e0a07e90..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/model_index.json
+++ /dev/null
@@ -1,40 +0,0 @@
-{
-  "_class_name": "StableUnCLIPImg2ImgPipeline",
-  "_diffusers_version": "0.26.0.dev0",
-  "feature_extractor": [
-    "transformers",
-    "CLIPImageProcessor"
-  ],
-  "image_encoder": [
-    "transformers",
-    "CLIPVisionModelWithProjection"
-  ],
-  "image_noising_scheduler": [
-    "diffusers",
-    "DDPMScheduler"
-  ],
-  "image_normalizer": [
-    "stable_diffusion",
-    "StableUnCLIPImageNormalizer"
-  ],
-  "scheduler": [
-    "diffusers",
-    "DDIMScheduler"
-  ],
-  "text_encoder": [
-    "transformers",
-    "CLIPTextModel"
-  ],
-  "tokenizer": [
-    "transformers",
-    "CLIPTokenizer"
-  ],
-  "unet": [
-    "mvdiffusion.models.unet_mv2d_condition",
-    "UNetMV2DConditionModel"
-  ],
-  "vae": [
-    "diffusers",
-    "AutoencoderKL"
-  ]
-}
diff --git a/MacLab-Era3D-512-6view/scheduler/scheduler_config.json b/MacLab-Era3D-512-6view/scheduler/scheduler_config.json
deleted file mode 100644
index 26ab6abf64add111473dfc47a6c2340435194658..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/scheduler/scheduler_config.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "_class_name": "DDIMScheduler",
-  "_diffusers_version": "0.26.0.dev0",
-  "beta_end": 0.012,
-  "beta_schedule": "linear",
-  "beta_start": 0.00085,
-  "clip_sample": false,
-  "clip_sample_range": 1.0,
-  "dynamic_thresholding_ratio": 0.995,
-  "num_train_timesteps": 1000,
-  "prediction_type": "v_prediction",
-  "rescale_betas_zero_snr": false,
-  "sample_max_value": 1.0,
-  "set_alpha_to_one": false,
-  "skip_prk_steps": true,
-  "steps_offset": 1,
-  "thresholding": false,
-  "timestep_spacing": "leading",
-  "trained_betas": null
-}
diff --git a/MacLab-Era3D-512-6view/text_encoder/config.json b/MacLab-Era3D-512-6view/text_encoder/config.json
deleted file mode 100644
index 8d76a857b9bbb357a396f4bbc3cdd37ec534b20f..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/text_encoder/config.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{
-  "_name_or_path": "stabilityai/stable-diffusion-2-1-unclip",
-  "architectures": [
-    "CLIPTextModel"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 0,
-  "dropout": 0.0,
-  "eos_token_id": 2,
-  "hidden_act": "gelu",
-  "hidden_size": 1024,
-  "initializer_factor": 1.0,
-  "initializer_range": 0.02,
-  "intermediate_size": 4096,
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 77,
-  "model_type": "clip_text_model",
-  "num_attention_heads": 16,
-  "num_hidden_layers": 23,
-  "pad_token_id": 1,
-  "projection_dim": 512,
-  "torch_dtype": "float16",
-  "transformers_version": "4.37.2",
-  "vocab_size": 49408
-}
diff --git a/MacLab-Era3D-512-6view/text_encoder/model.safetensors b/MacLab-Era3D-512-6view/text_encoder/model.safetensors
deleted file mode 100644
index a55e85a6b511d04d31fbcc67af976a8b0adf8030..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/text_encoder/model.safetensors
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bc1827c465450322616f06dea41596eac7d493f4e95904dcb51f0fc745c4e13f
-size 680820392
diff --git a/MacLab-Era3D-512-6view/tokenizer/merges.txt b/MacLab-Era3D-512-6view/tokenizer/merges.txt
deleted file mode 100644
index 1876098c4dcbf22af518537b3bd63102a05e1313..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/tokenizer/merges.txt
+++ /dev/null
@@ -1,48895 +0,0 @@
-#version: 0.2
-i n
-t h
-a n
-r e
-a r
-e r
-th e</w>
-in g</w>
-o u
-o n
-s t
-o r
-e n
-o n</w>
-a l
-a t
-e r</w>
-i t
-i n</w>
-t o</w>
-r o
-i s</w>
-l e
-i c
-a t</w>
-an d</w>
-e d</w>
-o f</w>
-c h
-o r</w>
-e s</w>
-i l
-e l
-s t</w>
-a c
-o m
-a m
-l o
-a n</w>
-a y</w>
-s h
-r i
-l i
-t i
-f or</w>
-n e
-ð Ł
-r a
-h a
-d e
-o l
-v e</w>
-s i
-u r
-a l</w>
-s e
-' s</w>
-u n
-d i
-b e
-l a
-w h
-o o
-d ay</w>
-e n</w>
-m a
-n o
-l e</w>
-t o
-ou r</w>
-i r
-g h
-w it
-i t</w>
-y o
-a s
-s p
-th is</w>
-t s</w>
-at i
-yo u</w>
-wit h</w>
-a d
-i s
-a b
-l y</w>
-w e
-th e
-t e
-a s</w>
-a g
-v i
-p p
-s u
-h o
-m y</w>
-. .
-b u
-c om
-s e</w>
-er s</w>
-m e
-m e</w>
-al l</w>
-c on
-m o
-k e</w>
-g e
-ou t</w>
-en t</w>
-c o
-f e
-v er
-a r</w>
-f ro
-a u
-p o
-c e</w>
-gh t</w>
-ar e</w>
-s s</w>
-fro m</w>
-c h</w>
-t r
-ou n
-on e</w>
-b y</w>
-d o
-t h</w>
-w or
-er e</w>
-k e
-p ro
-f or
-d s</w>
-b o
-t a
-w e</w>
-g o
-h e
-t er</w>
-in g
-d e</w>
-b e</w>
-ati on</w>
-m or
-a y
-e x
-il l</w>
-p e
-k s</w>
-s c
-l u
-f u
-q u
-v er</w>
-ðŁ ĺ
-j u
-m u
-at e</w>
-an d
-v e
-k ing</w>
-m ar
-o p
-h i
-.. .</w>
-p re
-a d</w>
-r u
-th at</w>
-j o
-o f
-c e
-ne w</w>
-a m</w>
-a p
-g re
-s s
-d u
-no w</w>
-y e
-t ing</w>
-y our</w>
-it y</w>
-n i
-c i
-p ar
-g u
-f i
-a f
-p er
-t er
-u p</w>
-s o</w>
-g i
-on s</w>
-g r
-g e</w>
-b r
-p l
-' t</w>
-m i
-in e</w>
-we e
-b i
-u s</w>
-sh o
-ha ve</w>
-to day</w>
-a v
-m an
-en t
-ac k</w>
-ur e</w>
-ou r
-â Ģ
-c u
-l d</w>
-lo o
-i m
-ic e</w>
-s om
-f in
-re d</w>
-re n
-oo d</w>
-w as</w>
-ti on</w>
-p i
-i r</w>
-th er</w>
-t y</w>
-p h
-ar d</w>
-e c
-! !</w>
-m on
-mor e</w>
-w ill</w>
-t ra
-c an</w>
-c ol
-p u
-t e</w>
-w n</w>
-m b
-s o
-it i
-ju st</w>
-n ing</w>
-h ere</w>
-t u
-p a
-p r
-bu t</w>
-wh at</w>
-al ly</w>
-f ir
-m in
-c a
-an t</w>
-s a
-t ed</w>
-e v
-m ent</w>
-f a
-ge t</w>
-am e</w>
-ab out</w>
-g ra
-no t</w>
-ha pp
-ay s</w>
-m an</w>
-h is</w>
-ti me</w>
-li ke</w>
-g h</w>
-ha s</w>
-th an
-lo ve</w>
-ar t</w>
-st e
-d ing</w>
-h e</w>
-c re
-w s</w>
-w at
-d er</w>
-it e</w>
-s er
-ac e</w>
-ag e</w>
-en d</w>
-st r
-a w
-st or
-r e</w>
-c ar
-el l</w>
-al l
-p s</w>
-f ri
-p ho
-p or
-d o</w>
-a k
-w i
-f re
-wh o</w>
-sh i
-b oo
-s on</w>
-el l
-wh en</w>
-il l
-ho w</w>
-gre at</w>
-w in
-e l</w>
-b l
-s si
-al i
-som e</w>
-ðŁ Ĵ
-t on
-d er
-le s</w>
-p la
-ï ¸
-e d
-s ch
-h u
-on g</w>
-d on</w>
-k i
-s h</w>
-an n
-c or
-. .</w>
-oun d</w>
-a z
-in e
-ar y</w>
-fu l</w>
-st u
-ou ld</w>
-st i
-g o</w>
-se e</w>
-ab le</w>
-ar s</w>
-l l</w>
-m is
-b er
-c k</w>
-w a
-en ts</w>
-n o</w>
-si g
-f e</w>
-fir st</w>
-e t</w>
-sp e
-ac k
-i f</w>
-ou s</w>
-' m</w>
-st er</w>
-a pp
-an g
-an ce</w>
-an s</w>
-g ood</w>
-b re
-e ver
-the y</w>
-t ic
-com e</w>
-of f
-b ack</w>
-as e</w>
-ing s</w>
-ol d</w>
-i ght</w>
-f o
-h er</w>
-happ y</w>
-p ic
-it s</w>
-v ing</w>
-u s
-m at
-h om
-d y</w>
-e m
-s k
-y ing</w>
-the ir</w>
-le d</w>
-r y</w>
-u l
-h ar
-c k
-t on</w>
-on al</w>
-h el
-r ic
-b ir
-vi e
-w ay</w>
-t ri
-d a
-p le
-b ro
-st o
-oo l</w>
-ni ght</w>
-tr u
-b a
-re ad
-re s</w>
-ye ar</w>
-f r
-t or
-al s</w>
-c oun
-c la
-t ure</w>
-v el
-at ed</w>
-le c
-en d
-th ing</w>
-v o
-ic i
-be st</w>
-c an
-wor k</w>
-la st</w>
-af ter</w>
-en ce</w>
-p ri
-p e</w>
-e s
-i l</w>
-âĢ ¦</w>
-d re
-y s</w>
-o ver</w>
-i es</w>
-ðŁ ij
-com m
-t w
-in k</w>
-s un
-c l
-li fe</w>
-t t
-a ch
-l and</w>
-s y
-t re
-t al
-p ol
-s m
-du c
-s al
-f t</w>
-' re</w>
-ch e
-w ar
-t ur
-ati ons</w>
-ac h</w>
-m s</w>
-il e</w>
-p m</w>
-ou gh</w>
-at e
-st ar
-wee k</w>
-! !!</w>
-c lu
-th ere</w>
-n er</w>
-t om
-s el
-ï¸ ı</w>
-wor ld</w>
-v es</w>
-c am
-go t</w>
-in ter
-of f</w>
-u m</w>
-ton ight</w>
-o ther</w>
-h ou
-loo k</w>
-j e
-i d</w>
-si on</w>
-be au
-at t
-el i
-or t</w>
-re c
-f f
-st er
-su pp
-g en
-be en</w>
-il y</w>
-te am</w>
-m m
-i c</w>
-pe op
-it t
-at s</w>
-on ly</w>
-mb er</w>
-en g
-b ri
-m p
-k now</w>
-b ur
-b ar
-in s</w>
-lo w</w>
-sh e</w>
-ro w</w>
-â Ŀ
-t ro
-peop le</w>
-vi a</w>
-lo w
-ag a
-be t
-x t</w>
-f ac
-ch ar
-e ar
-w al
-s en
-f am
-b le</w>
-n ati
-is h</w>
-n or
-g ame</w>
-li ve</w>
-s co
-le y</w>
-d on
-ic k</w>
-b all</w>
-ver y</w>
-the se</w>
-p an
-i a</w>
-at ing</w>
-c r
-a re
-g ir
-ma ke</w>
-st re
-sho w</w>
-. "</w>
-f l
-u p
-d r
-than ks</w>
-il li
-w om
-st s</w>
-i g
-s ur
-ever y
-c ur
-vie w</w>
-le t</w>
-in to</w>
-mo st</w>
-n a
-in di
-g ar
-ha d</w>
-s ou
-v ed</w>
-an t
-iti on</w>
-ma de</w>
-f ol
-un i
-it ed</w>
-ðŁ ı
-ic al</w>
-th r
-read y</w>
-ch ec
-d ra
-k es</w>
-boo k</w>
-e p</w>
-si c</w>
-mor ning</w>
-ne ws</w>
-c au
-c t</w>
-w ell</w>
-an c
-pho to</w>
-th an</w>
-or s</w>
-bir th
-g g
-ou t
-ne xt</w>
-som e
-en ing</w>
-stor y</w>
-ch ri
-do wn</w>
-hom e</w>
-f fe
-fre e</w>
-d a</w>
-b or
-f il
-ci al</w>
-than k</w>
-si de</w>
-le ar
-qu e
-l ine</w>
-t en
-at es</w>
-ye ars</w>
-m y
-pho to
-beau ti
-ri ght</w>
-n u
-for m
-shi p</w>
-b an
-th er
-d ays</w>
-g am
-as on</w>
-g y</w>
-ðŁ İ
-birth day</w>
-se t</w>
-ic k
-e t
-st ill</w>
-com ing</w>
-ta ke</w>
-ðŁ ĩ
-b b
-s ol
-s on
-d en
-e p
-mu sic</w>
-the m</w>
-de n</w>
-wh y</w>
-f oo
-c ra
-am az
-w n
-h ol
-t ting</w>
-w r
-u e</w>
-ma g
-c ro
-l an
-c lo
-b ra
-a k</w>
-s ing</w>
-c al
-re ad</w>
-' ve</w>
-jo h
-b ab
-d ri
-b lo
-bi g</w>
-er ic
-in t</w>
-t or</w>
-tr y</w>
-l a</w>
-le g
-hou se</w>
-m ic
-v al
-beauti ful</w>
-l itt
-chec k</w>
-ne w
-ver s
-s w
-ar i
-pla y
-h er
-âĢ ĵ</w>
-w in</w>
-m a</w>
-con gr
-sch ool</w>
-f un
-. @</w>
-he al
-ic h</w>
-d el
-wh ere</w>
-l on
-ke t</w>
-tw o</w>
-mu ch</w>
-wat ch</w>
-v en
-d ed</w>
-a st</w>
-k ed</w>
-b as
-go ing</w>
-m p</w>
-e ver</w>
-w ays</w>
-ro o
-de sig
-l y
-s ed</w>
-to p</w>
-l in
-ch an
-to o</w>
-it ing</w>
-d ent</w>
-gh ts</w>
-t y
-sp o
-ne ed</w>
-b lu
-in st
-be ing</w>
-âĿ ¤
-w el
-l s</w>
-hi m</w>
-m ay</w>
-st ing</w>
-n a</w>
-el y</w>
-litt le</w>
-g a
-n at
-tom or
-m c
-h on
-w ant</w>
-a ir
-pi c</w>
-am eric
-p er</w>
-le ss</w>
-wee k
-ve l</w>
-a h</w>
-c ap
-ch am
-g er
-ti m
-tomor row</w>
-ne ss</w>
-st ate</w>
-h al
-ser v
-z e</w>
-o s</w>
-p at
-v is
-ex c
-s in
-f f</w>
-c ity</w>
-c en
-an y
-b el
-su mm
-t in
-w ould</w>
-loo king</w>
-k o
-ce le
-fam ily</w>
-m er
-po w
-hel p</w>
-bu s
-c o</w>
-c le
-sel f</w>
-en s</w>
-ic s</w>
-th o
-an i
-ch o
-le ad
-b s</w>
-t wee
-th ink</w>
-for e</w>
-ch il
-vi de
-di d</w>
-al e</w>
-ch i
-v il
-en ds</w>
-w ing</w>
-p as
-' ll</w>
-v ol
-s a</w>
-g s</w>
-man y</w>
-j ec
-be fore</w>
-gra ph
-n y</w>
-ur ing</w>
-w il
-d d
-bu il
-f av
-st ed</w>
-tr an
-l ing</w>
-ou d</w>
-d ge</w>
-fi el
-nati onal</w>
-st a
-c er
-w ere</w>
-in a</w>
-se ason</w>
-c ou
-n ed</w>
-amaz ing</w>
-ti ons</w>
-cele br
-n s</w>
-a th
-he ad</w>
-s day</w>
-d ar
-lo c
-v in
-an other</w>
-g oo
-s at
-n y
-jo in</w>
-pre s
-s es</w>
-s ing
-an a</w>
-in ing</w>
-.. ..</w>
-c our
-ï¸ ı
-ac t</w>
-cau se</w>
-li ght</w>
-am s</w>
-t a</w>
-b al
-f c</w>
-hi gh</w>
-off ici
-t t</w>
-chri st
-d ic
-d ay
-ra l</w>
-h or
-: )</w>
-vi si
-n am
-o b
-ma s</w>
-gh t
-re ally</w>
-t un
-fin d</w>
-thr ough</w>
-por t</w>
-u t
-ti ve</w>
-st y
-n e</w>
-or e</w>
-ðŁĺ Ĥ
-supp ort</w>
-ne ver</w>
-ev en</w>
-ðŁ Ķ
-h a</w>
-y a</w>
-l d
-u k</w>
-r an
-j am
-wi th
-me di
-d es</w>
-ne y</w>
-ch ing</w>
-al e
-h y
-k in
-! !
-d y
-pl ace</w>
-al so</w>
-b le
-wh ich</w>
-bl ack</w>
-b li
-s ay</w>
-par k</w>
-pl ay</w>
-ir e</w>
-vide o</w>
-week end</w>
-a il
-ke y</w>
-p t</w>
-w ard</w>
-fri day</w>
-d in
-ine ss</w>
-g ro
-b en
-al ways</w>
-t ball</w>
-ag o</w>
-m il
-c y
-pro duc
-di sc
-un der
-ple ase</w>
-sp or
-fu ll</w>
-e y</w>
-ðŁ Ļ
-is e</w>
-iti es</w>
-c at
-k no
-u se</w>
-fo re
-k er</w>
-ar t
-hi gh
-op en</w>
-s an
-e f
-our s</w>
-sh ed</w>
-st ri
-d ro
-aga in</w>
-i m</w>
-ðŁ ĵ
-en jo
-fu n</w>
-ge tting</w>
-p en
-g er</w>
-c li
-an y</w>
-ever y</w>
-e u
-wom en</w>
-â ľ
-e st</w>
-c ould</w>
-r y
-" @</w>
-th ou
-sh a
-comm un
-b er</w>
-d ents</w>
-di s
-wh ile</w>
-aw ay</w>
-di o</w>
-h am
-g la
-d ate</w>
-k a</w>
-mis s</w>
-un ch</w>
-w on
-in f
-roo m</w>
-g a</w>
-re al</w>
-ex per
-di rec
-sh ould</w>
-sp r
-g ol
-l ong</w>
-bet ter</w>
-or i
-e y
-i ence</w>
-il s</w>
-z z
-h an
-f ound</w>
-v s</w>
-â Ļ
-po st</w>
-ti c</w>
-par t</w>
-m en
-ren ce</w>
-ce ss</w>
-v ic
-s il
-sho p</w>
-ðŁĺ Ĥ</w>
-f ood</w>
-v al</w>
-sti c</w>
-y ou
-s ays</w>
-e lec
-st ar</w>
-o c
-l and
-i d
-c tion</w>
-fiel d</w>
-s of
-st art</w>
-wat er</w>
-fri ends</w>
-on es</w>
-ðŁ Į
-f la
-f ar
-wh ite</w>
-par ty</w>
-in st</w>
-gr ou
-t v</w>
-every one</w>
-m ent
-j a
-ch a
-pr in
-an ts</w>
-d uring</w>
-l at
-l ar
-we st</w>
-th en</w>
-k a
-y oun
-in sp
-in te
-we en</w>
-visi t</w>
-aga inst</w>
-re le
-he ad
-c es</w>
-to wn</w>
-loo ks</w>
-th re
-re gi
-ren t</w>
-pro jec
-gir l</w>
-se ar
-w o
-m om
-c ar</w>
-h un
-pu bli
-d i</w>
-p le</w>
-c all</w>
-c ri
-u m
-for d</w>
-per fe
-fri end</w>
-h ard</w>
-ssi on</w>
-te st</w>
-pla ying</w>
-ar ound</w>
-be cause</w>
-ke ts</w>
-me et</w>
-sat ur
-ar ti
-wor k
-j un
-v en</w>
-r un
-me mber</w>
-por t
-su per
-t wit
-s am
-el s</w>
-t ly</w>
-ad v
-ati ve</w>
-at h</w>
-s ure</w>
-av ail
-la r</w>
-s qu
-ar ds</w>
-ev ent</w>
-m en</w>
-l l
-o ver
-lo gy</w>
-it al</w>
-tim es</w>
-m al
-b ack
-c oo
-ma king</w>
-st ru
-â ģ
-it u
-sh ar
-g an</w>
-c as
-s n
-summ er</w>
-pic ture</w>
-f an
-h in
-christ mas</w>
-c y</w>
-pr oud</w>
-cham pi
-desig n</w>
-pp ing</w>
-ho pe</w>
-c a</w>
-avail able</w>
-ma y
-we d
-photo graph
-spe cial</w>
-sal e</w>
-sto p</w>
-er y</w>
-a we
-al ity</w>
-hi story</w>
-am a</w>
-pre si
-b ru
-wor king</w>
-d one</w>
-d r</w>
-k en</w>
-fe at
-w ood</w>
-ate st</w>
-sun day</w>
-mo vi
-vel y</w>
-s le
-f ace</w>
-sp ec
-stu dents</w>
-b y
-ha m</w>
-sp on
-bus iness</w>
-d at
-i e</w>
-i p
-so ci
-g lo
-h and
-re cor
-r s</w>
-me e
-ke ep</w>
-p ur
-heal th</w>
-sh e
-com ple
-go d</w>
-da vi
-col lec
-li st
-r a</w>
-clu b</w>
-t ers</w>
-in clu
-th ings</w>
-pl an
-â ĺ
-joh n</w>
-sh ing</w>
-at ul
-so on</w>
-blu e</w>
-g or
-satur day</w>
-w on</w>
-congr atul
-se e
-âĿ¤ ï¸ı</w>
-tho se</w>
-ðŁĺ į</w>
-fin al</w>
-d ou
-it h</w>
-o wn</w>
-ro ad</w>
-t our</w>
-a st
-indi a</w>
-ti l</w>
-n d</w>
-f er
-fav or
-su l
-lear n</w>
-fir e</w>
-ju st
-grou p</w>
-a h
-r ac
-bo dy</w>
-u r</w>
-c are</w>
-à ¸
-p lo
-o h</w>
-po s
-gi ve</w>
-te ch
-su b
-c ent
-er ing</w>
-y m
-il ity</w>
-f ic
-lon don</w>
-v ir
-gu ys</w>
-b a</w>
-ðŁ ¤
-bab y</w>
-sc re
-ðŁĺ į
-tru mp</w>
-un der</w>
-chan ge</w>
-i an</w>
-col le
-ss es</w>
-l er</w>
-ss ed</w>
-n ice</w>
-ann oun
-pow er</w>
-s ar
-a king</w>
-min i
-s li
-s wee
-k ar
-fu l
-c ru
-ac tion</w>
-a ther</w>
-) .</w>
-st and
-de vel
-a a
-g an
-le ft</w>
-lo l</w>
-re l
-tran s
-m ents</w>
-in t
-e f</w>
-man ag
-di g
-gen er
-do wn
-p au
-ti v
-k u
-th ur
-k en
-st on</w>
-f ans</w>
-tal k</w>
-twee t</w>
-t oo
-sty le</w>
-pro te
-se con
-fr on
-awe some</w>
-g l
-p al
-ne t
-s or
-la u
-g on
-sin ce</w>
-t ty</w>
-ser ies</w>
-me mor
-b eli
-fil m</w>
-di d
-di es</w>
-o t
-congratul ations</w>
-p ra
-e ve</w>
-w oo
-offici al</w>
-su c
-in cre
-b on
-par t
-pp ed</w>
-cla ss</w>
-si ve</w>
-bo y</w>
-cu l
-perfe ct</w>
-t ou
-d am
-wel come</w>
-foo tball</w>
-h i</w>
-p ap
-wa it</w>
-ad a</w>
-congr ats</w>
-youn g</w>
-exc ited</w>
-re ce
-j an
-v a</w>
-re d
-st ra
-medi a</w>
-' d</w>
-do es</w>
-le t
-mu l
-ill s</w>
-gre en</w>
-m el
-to ge
-fu ture</w>
-ye ster
-vers ity</w>
-for m</w>
-ta in</w>
-i de
-ch es</w>
-ki ds</w>
-qu i
-ha ha
-de ta
-bi g
-favor ite</w>
-gir ls</w>
-con tin
-do m</w>
-sear ch</w>
-u al</w>
-a ir</w>
-d ers</w>
-mon th</w>
-c er</w>
-yester day</w>
-commun ity</w>
-ad e</w>
-do g</w>
-vil le</w>
-ic es</w>
-d eli
-sy ste
-ru n</w>
-is m</w>
-he art</w>
-c up</w>
-en ti
-fe w</w>
-presi dent</w>
-e ds</w>
-un til</w>
-fe sti
-o k
-f lo
-sa id</w>
-ol e</w>
-me d
-tra vel</w>
-Â £</w>
-ph one</w>
-toge ther</w>
-fa st</w>
-lo t</w>
-gam es</w>
-sh ir
-bet ween</w>
-y es</w>
-th ers</w>
-do ing</w>
-m ac
-at or</w>
-b and</w>
-fol low
-projec t</w>
-devel op
-di ffe
-con fe
-spe ci
-ca st</w>
-y s
-bo ard</w>
-r d</w>
-i al</w>
-sh oo
-r am
-ha ving</w>
-sh are</w>
-fol low</w>
-on e
-n ame</w>
-m r</w>
-pu t</w>
-disc u
-or y</w>
-c ame</w>
-ou s
-s ite</w>
-twit ter</w>
-t b
-t it
-fin ally</w>
-z ed</w>
-su per</w>
-com pan
-us ing</w>
-all s</w>
-li st</w>
-r is</w>
-sho t</w>
-g al
-t ar
-de l</w>
-joh n
-âĢ Ķ</w>
-some thing</w>
-ra m</w>
-inte re
-wh e
-b it</w>
-ðŁ į
-stre et</w>
-oun d
-a i
-tic kets</w>
-movi e</w>
-re al
-k y
-ta king</w>
-o pp
-c c</w>
-l am
-m oun
-in ve
-bl ack
-us ed</w>
-on line</w>
-y or
-loc al</w>
-gu e
-c ks</w>
-o w
-ge st</w>
-bo ys</w>
-illi on</w>
-con t
-re ci
-in ed</w>
-eu ro
-no w
-se en</w>
-p h</w>
-te ach
-de f
-sou th</w>
-su ch</w>
-aw ard</w>
-mu st</w>
-is su
-ca re
-fe el</w>
-p lu
-l atest</w>
-spor ts</w>
-we b
-te x
-e ment</w>
-s k</w>
-fi c</w>
-w an
-te ch</w>
-o t</w>
-bo x</w>
-n er
-fre e
-t al</w>
-a sh
-c ase</w>
-ho t</w>
-won der
-mee ting</w>
-er a</w>
-ch all
-ðŁ IJ
-jo b</w>
-il i
-c ool</w>
-j our
-th s</w>
-m o</w>
-f el
-di e</w>
-mic ha
-e le
-te am
-serv ice</w>
-st and</w>
-ma kes</w>
-p ing</w>
-ear ly</w>
-com es</w>
-e k</w>
-ho li
-v ers</w>
-ag ue</w>
-s au
-thre e</w>
-mon day</w>
-fa shi
-some one</w>
-th ro
-se a</w>
-b ad</w>
-supp or
-tur n</w>
-ur y</w>
-m ing</w>
-photograph y</w>
-n ic
-mar k</w>
-pre tty</w>
-ss ing</w>
-wat ching</w>
-me mb
-ar ri
-coun ty</w>
-be ach</w>
-fr an
-cen ter</w>
-pol ice</w>
-b at
-publi c</w>
-t an
-pre ss</w>
-s af
-s y</w>
-ge ts</w>
-ro y
-n ers</w>
-y our
-bu y</w>
-st ers</w>
-sho w
-as ed</w>
-chil dre
-af ric
-in es</w>
-sp ace</w>
-sc ri
-h all</w>
-pa in
-ar ing</w>
-hom e
-m ur
-heal th
-ch ed</w>
-s and
-rece i
-gu y</w>
-e a
-americ an</w>
-re si
-childre n</w>
-- -
-i ri
-ing ton</w>
-coun try</w>
-ro ss</w>
-le n</w>
-ann a</w>
-boo ks</w>
-b c</w>
-e ce</w>
-d om
-lo vely</w>
-k h
-pe t
-g y
-g ri
-st age</w>
-off ice</w>
-ro ck</w>
-m on</w>
-b ay</w>
-t able</w>
-su n</w>
-m ed</w>
-th in
-l or
-f low
-( @</w>
-uni versity</w>
-stor e</w>
-fron t</w>
-goo d
-z a</w>
-vo te</w>
-nor th</w>
-he y</w>
-an im
-or der</w>
-mi d
-with out</w>
-a de
-re member</w>
-mar ket</w>
-? ?</w>
-mu s
-tra ining</w>
-e duc
-bu t
-co ver</w>
-st an
-sc en
-b la
-bre ak
-l ou
-s ame</w>
-g old</w>
-a in</w>
-o s
-bo th</w>
-l it
-ver n
-a i</w>
-al bu
-p a</w>
-enjo y</w>
-be g
-ell ing</w>
-thur sday</w>
-inf o</w>
-s an</w>
-americ a</w>
-ha ir</w>
-te l</w>
-mar ch</w>
-con cer
-colle ge</w>
-confe rence</w>
-ap p</w>
-h our</w>
-ch ang
-â ļ
-s our
-ol s</w>
-we ather</w>
-w ar</w>
-p hi
-festi val</w>
-secon d</w>
-cu te</w>
-pr ac
-en er
-str y</w>
-le a
-pol it
-s av
-se n</w>
-o w</w>
-m i</w>
-ne ar</w>
-ou ght</w>
-z e
-co ffe
-w illi
-d an
-se y</w>
-davi d</w>
-e se</w>
-f an</w>
-de ci
-the at
-no v
-ati on
-tr ac
-sc i
-re view</w>
-c el
-e m</w>
-u n</w>
-ju ly</w>
-or ig
-ti on
-d ru
-form er</w>
-st ay</w>
-af ter
-in v
-too k</w>
-dat a</w>
-b al</w>
-tu es
-d an</w>
-ev ening</w>
-ðŁĺĤ ðŁĺĤ
-d ol
-u res</w>
-pro vi
-t s
-e st
-sig n</w>
-j ac
-u k
-s ong</w>
-ye t</w>
-bo w
-in du
-j ap
-h oo
-po int</w>
-any one</w>
-z y</w>
-i st</w>
-h ur
-it al
-buil ding</w>
-wom an</w>
-ch ur
-j er
-per for
-co ach</w>
-le ague</w>
-ce ss
-ne t</w>
-i mag
-nati on
-br it
-qu e</w>
-aw ards</w>
-ag es</w>
-wor ks</w>
-c ed</w>
-man ce</w>
-l ate</w>
-ig n</w>
-mon ey</w>
-tru e</w>
-i i</w>
-t ell</w>
-pl ac
-p ac
-as y</w>
-wor ld
-be hin
-im port
-read ing</w>
-gra m</w>
-gi ving</w>
-me t</w>
-h it</w>
-for ward</w>
-st om
-pres ent
-jun e</w>
-so cial</w>
-no on</w>
-mar t
-hal f</w>
-s we
-go vern
-k er
-deta ils</w>
-li sh</w>
-_ _
-ac y</w>
-si a</w>
-ber t</w>
-f all</w>
-! !!!</w>
-) ,</w>
-th i
-d iti
-sp ort</w>
-k ing
-f it
-st af
-c at</w>
-mu se
-cen tr
-y er</w>
-con tro
-b loo
-wal k</w>
-ac tu
-did n</w>
-li m
-lear ning</w>
-re search</w>
-wed ne
-au th
-h ours</w>
-k y</w>
-f ar</w>
-h en
-.. ..
-it ch
-ri l</w>
-str ong</w>
-sk y</w>
-que sti
-jam es</w>
-r on
-d g
-f ur
-c in
-do es
-app ro
-mar ke
-tu res</w>
-ful ly</w>
-ch at</w>
-behin d</w>
-te m
-fin i
-mis sion</w>
-b att
-fe el
-he av
-every thing</w>
-b ar</w>
-w ish</w>
-pre mi
-i ma
-exper ience</w>
-e ach</w>
-re port</w>
-swee t</w>
-tic s</w>
-spr ing</w>
-re spon
-syste m</w>
-vic tor
-l in</w>
-sa w</w>
-al ready</w>
-gh ter</w>
-f le
-ã ĥ
-br ing</w>
-albu m</w>
-- -</w>
-ell s</w>
-st an</w>
-to m</w>
-inter national</w>
-w ent</w>
-an ni
-mat ch</w>
-pp er</w>
-st one</w>
-sm all</w>
-ra in</w>
-fashi on</w>
-are a</w>
-v an
-ag ram</w>
-k o</w>
-thou ght</w>
-wor th</w>
-v an</w>
-m er</w>
-coffe e</w>
-it es</w>
-g n
-arti st</w>
-c on</w>
-ar ch
-c ir
-se cre
-gr ound</w>
-is o
-h and</w>
-co m</w>
-bri dge</w>
-h s</w>
-x i
-l ink</w>
-pu l
-sp l
-r ace</w>
-f li
-ri ver</w>
-g as</w>
-di sco
-d al
-play er</w>
-f it</w>
-photo s</w>
-it y
-o k</w>
-j or
-tr a</w>
-ap ril</w>
-ad s</w>
-a di
-sol u
-beau ty</w>
-do or</w>
-me ss
-up date</w>
-ali a</w>
-sch o
-en ed</w>
-mom ent</w>
-sco t
-sc ience</w>
-i or</w>
-ti es</w>
-ac ross</w>
-ous ly</w>
-sh es</w>
-does n</w>
-p age</w>
-wat er
-m illion</w>
-cla ssi
-l ic
-ca st
-form ation</w>
-micha el</w>
-ell o</w>
-s mo
-in ts</w>
-vi sion</w>
-op ening</w>
-ld n</w>
-au str
-tues day</w>
-win ner</w>
-po ssi
-r ound</w>
-shir t</w>
-di t</w>
-b o</w>
-u es</w>
-il led</w>
-al ong</w>
-tri p</w>
-star ting</w>
-im pro
-k an
-per son</w>
-no t
-re co
-ne eds</w>
-c le</w>
-li e</w>
-re st</w>
-r ing</w>
-win ter</w>
-si mp
-mo m</w>
-be er</w>
-fac e
-tor s</w>
-us a</w>
-collec tion</w>
-ge or
-se ssion</w>
-tr ying</w>
-la s</w>
-la ke</w>
-j en
-orig in
-stu dent</w>
-se cur
-v in</w>
-pic s</w>
-ex pe
-com p
-gon na</w>
-e qu
-b ad
-le y
-a u</w>
-memb ers</w>
-bre ak</w>
-w all</w>
-gi c</w>
-din ner</w>
-bu l
-insp ir
-r i</w>
-min d</w>
-ic a</w>
-win ning</w>
-tal king</w>
-t ren
-s is</w>
-t en</w>
-wonder ful</w>
-s now</w>
-he ar</w>
-th om
-no thing</w>
-gu i
-st in
-blo g</w>
-fe st</w>
-b un
-le e</w>
-war ds</w>
-ch ance</w>
-dre ss</w>
-re n</w>
-pau l</w>
-p es</w>
-tech no
-ru ssi
-c ard</w>
-e ast</w>
-mar i
-w ine</w>
-t i</w>
-la w</w>
-str ic
-k i</w>
-ap e</w>
-au gu
-pro fe
-as h</w>
-cour se</w>
-ma il</w>
-ren tly</w>
-d un
-m un
-lo ve
-is land</w>
-dri ve</w>
-s l
-end ed</w>
-ma in</w>
-lo st</w>
-nat ure</w>
-âĿ¤ ï¸ı
-ch ic
-re por
-p in
-pr o</w>
-st ation</w>
-ce p
-ta kes</w>
-compan y</w>
-go es</w>
-on d</w>
-ma ch
-ra dio</w>
-d ad</w>
-ro ck
-j a</w>
-p ay
-champi on
-e e
-in de
-tt a</w>
-ati c</w>
-t ab
-beli eve</w>
-ener gy</w>
-z i
-t at
-wor d</w>
-on ce</w>
-re sul
-y l
-and re
-an o</w>
-inst agram</w>
-clo se</w>
-t am
-cu stom
-w a</w>
-con om
-sho ws</w>
-li fe
-k in</w>
-ro b
-t age</w>
-n ation</w>
-al most</w>
-list en</w>
-sa ve</w>
-re li
-ac e
-mar y</w>
-tre e</w>
-for get</w>
-j ack
-wa iting</w>
-direc tor</w>
-h ill</w>
-bor n</w>
-te mp
-f l</w>
-st e</w>
-on a</w>
-sing le</w>
-wedne sday</w>
-un ited</w>
-in o</w>
-@ _</w>
-ne l</w>
-celebr ate</w>
-en ding</w>
-de al</w>
-j i</w>
-can ada</w>
-hu ge</w>
-tr ack</w>
-âĢ ¢</w>
-f y</w>
-fan ta
-an g</w>
-yor k</w>
-rele ase</w>
-p un
-ep iso
-wor ds</w>
-t our
-p ack
-i gh
-classi c</w>
-perfor mance</w>
-ke t
-after noon</w>
-recor d</w>
-win s</w>
-pro ble
-âĿ ¤</w>
-f our</w>
-b ed</w>
-ban k</w>
-d ance</w>
-s la
-cal led</w>
-mi ght</w>
-a p</w>
-pa st</w>
-ðŁ ļ
-diffe rent</w>
-it e
-gi ft</w>
-ssi ve</w>
-chur ch</w>
-c us</w>
-pro gram</w>
-ho tel</w>
-ic e
-ma d
-secur ity</w>
-en ge</w>
-d c</w>
-en ough</w>
-st a</w>
-e ty</w>
-de ad</w>
-g un
-he ar
-m ir
-hu man</w>
-gre ss</w>
-oun ds</w>
-pi ece</w>
-bre aking</w>
-gar den</w>
-fi ght</w>
-vie ws</w>
-f ish</w>
-star ted</w>
-run ning</w>
-gre en
-ser i
-s m</w>
-as k</w>
-d or
-de ath</w>
-e conom
-er i
-ir d</w>
-s er</w>
-l unch</w>
-âģ ¦
-bo x
-nat u
-ba se
-b an</w>
-f al
-glo bal</w>
-wil d
-wo w</w>
-out side</w>
-mo ve</w>
-le ad</w>
-an al
-muse um</w>
-on g
-ha w
-pow er
-than k
-b ac
-char ac
-cam pa
-dig ital</w>
-r o</w>
-op er
-de v
-w ol
-p ati
-f a</w>
-m ale</w>
-pap er</w>
-ill ing</w>
-c s</w>
-â ĥ
-educ ation</w>
-ta ken</w>
-e ffe
-m ou
-s ad
-" .</w>
-bas ed</w>
-staf f</w>
-inclu ding</w>
-li ving</w>
-a c</w>
-ch ina</w>
-mo b
-stor m</w>
-lu ck</w>
-ph il
-o o</w>
-y n
-tra vel
-k el
-ti al</w>
-pr ice</w>
-boo k
-import ant</w>
-bi o
-p ool</w>
-ny c</w>
-f ab
-lo ad</w>
-? !</w>
-chall enge</w>
-cr y
-ser ve</w>
-we ar</w>
-bu s</w>
-ta in
-nu mber</w>
-ro r</w>
-k at
-i z
-th ough</w>
-ho sp
-m m</w>
-fa ir</w>
-ut es</w>
-ho t
-po p</w>
-fi ed</w>
-cam p
-develop ment</w>
-li br
-c ali
-em s</w>
-âģ¦ @</w>
-b ol
-is ed</w>
-stand ing</w>
-mo del</w>
-it a</w>
-g le</w>
-bro wn</w>
-ima ge</w>
-ve red</w>
-for ce</w>
-o il</w>
-par tic
-sh u
-da ily</w>
-la w
-se c
-cla ss
-cam p</w>
-holi day</w>
-cl in
-k ers</w>
-pres ent</w>
-gam e
-incre di
-er ship</w>
-inter view</w>
-b ill</w>
-du e</w>
-and y</w>
-ab o
-in nov
-ke y
-ac ade
-p il
-mo der
-st ars</w>
-br and</w>
-f er</w>
-wee ks</w>
-con si
-pr e</w>
-sa fe
-wr it
-di um</w>
-la unch</w>
-marke ting</w>
-ann ual</w>
-as si
-cour t</w>
-la dy</w>
-c ted</w>
-and a</w>
-in side</w>
-chil d</w>
-opp or
-sm ith</w>
-centr e</w>
-gu e</w>
-âģ ©</w>
-f ren
-st y</w>
-for t</w>
-ent ly</w>
-is n</w>
-ke ep
-to ber</w>
-on y</w>
-bo y
-al d</w>
-col la
-de mo
-le vel</w>
-com pet
-ad o</w>
-b our
-fanta stic</w>
-m ate</w>
-s u</w>
-sou th
-oppor tun
-vers ary</w>
-lat er</w>
-bu d
-face book</w>
-la un
-ster n</w>
-p it
-! "</w>
-ma j
-gr am
-tb t</w>
-fi re
-happ y
-a ks</w>
-wh ole</w>
-actu ally</w>
-ill er</w>
-ell a</w>
-lo ts</w>
-al ex
-an ge
-lan ds</w>
-ðŁĺ Ń
-en ter
-r ou
-episo de</w>
-p ed</w>
-in ten
-sh ire</w>
-wh o
-pl an</w>
-h o</w>
-ca ke</w>
-we st
-mag az
-fre sh</w>
-c c
-n ar
-ch ris</w>
-wr iting</w>
-w er</w>
-n om
-l o</w>
-mi dd
-dre am</w>
-o l</w>
-ti onal</w>
-de b
-> ></w>
-be come</w>
-s i</w>
-gr and</w>
-all ing</w>
-hi stor
-ri de</w>
-i red</w>
-saf e</w>
-que en</w>
-ci l</w>
-in tro
-vi l</w>
-d ani
-.. .
-ar tic
-st at
-sh ort</w>
-or ing</w>
-sel fi
-mis si
-do c
-b it
-g all
-b om
-i re
-se lec
-d ition</w>
-ðŁĶ ¥</w>
-fri end
-be at</w>
-gh ting</w>
-ðŁĺ Ĭ</w>
-pe ace</w>
-ex hi
-ant a</w>
-ab ility</w>
-il lu
-j on
-qu ality</w>
-tri bu
-m es</w>
-play ers</w>
-fa ir
-cu t</w>
-c ab
-suc cess</w>
-b i</w>
-su s</w>
-pro mo
-sch e
-an ge</w>
-ic o</w>
-comm it
-cat ch</w>
-ill a</w>
-kin d</w>
-feel ing</w>
-qu o
-s ay
-anni versary</w>
-spo t</w>
-mo ther</w>
-an e</w>
-p end
-your self</w>
-op s</w>
-app le</w>
-min utes</w>
-p o</w>
-gr and
-ri es</w>
-ha ha</w>
-care er</w>
-ed ition</w>
-de c
-ric k</w>
-am i</w>
-concer t</w>
-iti ve</w>
-ge ous</w>
-d ly</w>
-t te</w>
-adv ent
-i g</w>
-li ghts</w>
-ak er</w>
-sk y
-âĥ £</w>
-r ay</w>
-fini shed</w>
-w ay
-s d
-ac coun
-ðŁĴ ķ</w>
-ck y</w>
-ch el
-lit er
-pain ting</w>
-lo s</w>
-st un
-techno logy</w>
-n as
-ma r</w>
-b il
-afric a</w>
-ki e</w>
-ey es</w>
-gol f</w>
-plu s</w>
-ni a</w>
-it ec
-serv ices</w>
-wed ding</w>
-kno wn</w>
-te le
-.. ...</w>
-star ts</w>
-pa ren
-w ants</w>
-ati onal</w>
-mon ths</w>
-win do
-fav our
-er t</w>
-magaz ine</w>
-ex clu
-re ve
-b c
-origin al</w>
-e ss
-n al</w>
-an ti
-st ro
-t ice</w>
-stu dy</w>
-à ¤
-v ac
-nation al
-fi ve</w>
-ra in
-ve ment</w>
-u te</w>
-ver se</w>
-em er
-ar my</w>
-possi ble</w>
-gue ss</w>
-val ley</w>
-ther n</w>
-cro w
-m r
-col or</w>
-on to</w>
-pic k</w>
-cle ar</w>
-dar k</w>
-t ac
-wan ted</w>
-it ting</w>
-can cer</w>
-govern ment</w>
-di e
-ri se</w>
-z ing</w>
-col d</w>
-f oun
-stu dio</w>
-str ation</w>
-bro ther</w>
-a head</w>
-sh el
-mic ro
-ic ally</w>
-d au
-sig ned</w>
-vi ol
-a x
-as se
-i o
-w re
-spl ay</w>
-ch ick
-augu st</w>
-pl at
-ti ps</w>
-sp i
-hu man
-e asy</w>
-lo gi
-mi ke</w>
-gro w
-ag re
-w w
-sh ad
-mo tiv
-wi de</w>
-tur ns</w>
-om g</w>
-v ar
-de fin
-su g
-j im
-ðŁĶ ¥
-t d</w>
-campa ign</w>
-nam ed</w>
-re tweet</w>
-co p
-t v
-le av
-k is
-dou ble</w>
-s mar
-issu e</w>
-vil la
-in formation</w>
-li es</w>
-sto ck</w>
-n t</w>
-di stric
-sh or
-mi x
-er o
-se p
-me x
-see ing</w>
-li ve
-re min
-co de</w>
-g ur
-s c</w>
-wil d</w>
-l un
-h ood</w>
-spo t
-fa ther</w>
-fore ver</w>
-up d
-tra f
-f ly</w>
-ne ed
-gra du
-tra in</w>
-ma ke
-s ab
-be y
-si ze</w>
-lead er</w>
-tal ks</w>
-e u</w>
-lo g
-fo x</w>
-gor geous</w>
-le ss
-le ts</w>
-sur pri
-my self</w>
-no te</w>
-li ves</w>
-f ru
-lo ved</w>
-se ver
-de m
-j i
-so c
-h old</w>
-do gs</w>
-n i</w>
-â ŀ
-lea ve</w>
-air port</w>
-ben ef
-ex pl
-shi ps</w>
-comple te</w>
-ach i
-gre at
-vin tage</w>
-j ack</w>
-ro c
-woo d
-pri v
-off er</w>
-ey e</w>
-ver sion</w>
-te a</w>
-co ach
-off ic
-w ell
-g en</w>
-s at</w>
-h h
-you th</w>
-o x
-? "</w>
-m t</w>
-mi x</w>
-g g</w>
-d le</w>
-natu ral</w>
-buil d</w>
-break fast</w>
-thin king</w>
-theat re</w>
-mo on</w>
-ber g</w>
-go als</w>
-geor ge</w>
-en e
-exc ell
-il ing</w>
-tun e</w>
-y ed</w>
-g ate</w>
-m it
-net work</w>
-jo e</w>
-h ello</w>
-f b</w>
-tu be</w>
-we aring</w>
-ath le
-stru c
-har d
-gla ss</w>
-g ers</w>
-thro w
-g es</w>
-b t
-indu stry</w>
-manag ement</w>
-ali st</w>
-go al</w>
-stre am</w>
-y el
-a vi
-ici ous</w>
-o thers</w>
-s ki
-chri sti
-bir d</w>
-e sc
-m in</w>
-tr o</w>
-l t</w>
-j an</w>
-im p
-ri ghts</w>
-sh a</w>
-or gan
-cent ral</w>
-ar a</w>
-ro ll</w>
-favour ite</w>
-che ster</w>
-el se</w>
-p ay</w>
-car s</w>
-m ine</w>
-ste p</w>
-prac tice</w>
-maj or</w>
-h ang
-ðŁĺ ĺ</w>
-n on</w>
-v ari
-eng ine
-vol un
-di a</w>
-i led</w>
-arch itec
-p ink</w>
-d s
-th y</w>
-wa sh
-web site</w>
-ba g</w>
-contro l</w>
-el li
-f ra
-an sw
-d ence</w>
-y u
-r on</w>
-ol a</w>
-g in
-dr in
-li c</w>
-cou ple</w>
-sp ar
-g on</w>
-cre ate</w>
-c t
-celebr ating</w>
-de ep</w>
-e at</w>
-te e</w>
-vo ice</w>
-dro p</w>
-vis it
-at ors</w>
-sta dium</w>
-f t
-w is
-ro l
-gra de</w>
-fam il
-po ints</w>
-re pre
-w as
-traf fic</w>
-jap an</w>
-or g
-hon or</w>
-tex as</w>
-man u
-âĻ ¥</w>
-safe ty</w>
-re r</w>
-b ag
-em plo
-rele ased</w>
-re gu
-ak a</w>
-n av
-ro le</w>
-sen ior</w>
-spec t</w>
-cro ss</w>
-lin es</w>
-be st
-p ack</w>
-s in</w>
-ti e</w>
-mis sing</w>
-sun set</w>
-li ber
-is ing</w>
-j ay
-sk i</w>
-champion ship</w>
-ac tiv
-la dies</w>
-play ed</w>
-y y
-pu bl
-al o
-pri de</w>
-s r
-pa ki
-lu x
-sur vi
-ck ed</w>
-e ts</w>
-cho col
-austr alia</w>
-par is</w>
-mi les</w>
-h at
-ment al</w>
-al a</w>
-me an</w>
-mob ile</w>
-en a</w>
-in si
-f ound
-chi ef</w>
-t ag
-incredi ble</w>
-re turn</w>
-Ã ©
-goo gle</w>
-fren ch</w>
-cre w</w>
-hal lo
-ali an</w>
-j az
-ch er</w>
-sil ver</w>
-nor th
-eng lish</w>
-base ball</w>
-c af
-lim ited</w>
-follow ing</w>
-app reci
-ear th</w>
-k ir
-ve mber</w>
-w ed</w>
-p tion</w>
-g ed</w>
-oc tober</w>
-fl ori
-c r</w>
-en cy</w>
-ga ve</w>
-lor d</w>
-stu ff</w>
-ber ry</w>
-po st
-sm ile</w>
-bro ad
-st ate
-gg er</w>
-me ans</w>
-ic y</w>
-gu n</w>
-y o</w>
-ma ster</w>
-bur g</w>
-han ds</w>
-ni e</w>
-/ /</w>
-uni on</w>
-brit ish</w>
-big gest</w>
-distric t</w>
-am ing</w>
-h il
-o ce
-per son
-pas s</w>
-en vir
-scho ols</w>
-arri ved</w>
-anc es</w>
-insp ired</w>
-ex pla
-be n</w>
-libr ary</w>
-bo tt
-am p
-ste ph
-cont act</w>
-b ang
-m s
-cali for
-t old</w>
-batt le</w>
-b b</w>
-chic ago</w>
-âľ ¨</w>
-str ate
-sh i</w>
-de ce
-- )</w>
-ad d</w>
-la b
-j ones</w>
-leg end</w>
-cast le</w>
-ing er</w>
-st ance</w>
-be l</w>
-ur a</w>
-re fu
-lead ers</w>
-po t
-se x
-h ic
-artic le</w>
-ki d</w>
-fr ance</w>
-x x</w>
-ex e
-gui de</w>
-volun te
-pr int</w>
-al i</w>
-ce o</w>
-twee ts</w>
-w x</w>
-scen e</w>
-vol u
-ant i</w>
-h an</w>
-as soci
-shar ing</w>
-ro se</w>
-mini ster</w>
-sh er
-in ste
-cle an
-demo cr
-po ster</w>
-sk in</w>
-p sy
-pro per
-cra zy</w>
-i am
-o re
-in i</w>
-any thing</w>
-po d
-mo ving</w>
-cl ick</w>
-ex plo
-com b
-cra ft</w>
-f i</w>
-bloo d</w>
-is ra
-publ ic
-d ent
-ol ym
-eng land</w>
-a si
-ch er
-fac t</w>
-envir on
-har ry</w>
-g one</w>
-me dic
-enjo ying</w>
-just ice</w>
-j r</w>
-indi an</w>
-wi fe</w>
-s ound</w>
-t es</w>
-dra wing</w>
-p al</w>
-ide a</w>
-cr it
-ju li
-il er</w>
-war m</w>
-cl ar
-thou ghts</w>
-def en
-coun cil</w>
-intro duc
-di ed</w>
-jan u
-an i</w>
-s end</w>
-li er</w>
-m l
-intere sting</w>
-tra de</w>
-win d</w>
-b ay
-s ac
-anc y</w>
-sour ce</w>
-b es</w>
-org ani
-ar ly</w>
-lar ge</w>
-ff ici
-ta g</w>
-u t</w>
-de sp
-o es</w>
-tit le</w>
-sy m
-pic tures</w>
-op en
-wom en
-sho wing</w>
-ri a</w>
-le ast</w>
-lead ership</w>
-cur rent</w>
-elec tr
-val ent
-list ening</w>
-c key</w>
-gener al</w>
-de ser
-du ce</w>
-; )</w>
-c ent</w>
-ðŁĺį ðŁĺį
-sco tt</w>
-po or</w>
-selfi e</w>
-ev ents</w>
-i on</w>
-wr ong</w>
-de v</w>
-h ill
-sep te
-cul ture</w>
-l ine
-sor ry</w>
-s ent</w>
-si ster</w>
-ce pt</w>
-k ri
-no vember</w>
-ar i</w>
-announ ce</w>
-z ation</w>
-br an
-g ent
-d u</w>
-l en
-per s
-f m</w>
-mart in</w>
-o p</w>
-e mb
-om e
-midd le</w>
-suc cess
-pe ter</w>
-janu ary</w>
-f lu
-rac ing</w>
-d av
-bi ke</w>
-ðŁı »</w>
-pe t</w>
-shoo t</w>
-profe ssi
-feat uring</w>
-septe mber</w>
-now playing</w>
-sta ur
-z a
-on ic</w>
-qu ick</w>
-bas ke
-spe aking</w>
-mil it
-z er</w>
-chick en</w>
-b ell</w>
-s ad</w>
-co ast</w>
-lo ving</w>
-y ers</w>
-d j</w>
-pan el</w>
-ver age</w>
-s wit
-ic ks</w>
-b ou
-califor nia</w>
-s am</w>
-paren ts</w>
-er o</w>
-k illed</w>
-ph ys
-jo bs</w>
-mi gr
-an th
-e mo
-hallo ween</w>
-and er
-c m</w>
-compet ition</w>
-e ag
-s ket
-sp ir
-may be</w>
-exclu sive</w>
-app e
-jour ney</w>
-scre en</w>
-for d
-i o</w>
-h ate</w>
-u g
-sou l</w>
-her o</w>
-soci ety</w>
-sy n
-gu it
-n h
-d j
-as es</w>
-im pre
-ti me
-sal es</w>
-d d</w>
-f ts</w>
-summ it</w>
-stun ning</w>
-om s</w>
-tur ned</w>
-cle an</w>
-sof t</w>
-be at
-re staur
-de red</w>
-en ces</w>
-ma gic</w>
-di o
-sh ine</w>
-gu est</w>
-health y</w>
-exhi b
-stor ies</w>
-po pu
-n is</w>
-el a</w>
-bel ow</w>
-fun ny</w>
-resul ts</w>
-s ne
-cur rently</w>
-ar d
-down load</w>
-f light</w>
-m al</w>
-f ine</w>
-p ad
-ch u
-ent ed</w>
-h at</w>
-ðŁij ı
-ste ve</w>
-j o</w>
-mar k
-r at
-b all
-p c</w>
-p on
-b by</w>
-o li
-ar ts</w>
-as ure</w>
-bow l</w>
-att ack</w>
-mi c</w>
-de ar</w>
-ran ge</w>
-en ter</w>
-chocol ate</w>
-br illi
-ac cess</w>
-, "</w>
-? ??</w>
-ch ap
-con st
-t n
-mat ter</w>
-blu e
-gall ery</w>
-em p
-work shop</w>
-lead ing</w>
-y ours</w>
-baske tball</w>
-w anna</w>
-th u
-_ _</w>
-mar ri
-sle ep</w>
-bi a</w>
-ch e</w>
-ma d</w>
-imp act</w>
-o wn
-si r</w>
-chan nel</w>
-euro pe</w>
-e sp
-k itch
-hosp ital</w>
-w ra
-roy al</w>
-f s</w>
-ne u
-qu ar
-ne y
-ac ks</w>
-ch ase</w>
-pp y</w>
-st al
-at ely</w>
-ti m</w>
-dece mber</w>
-r are</w>
-per form
-cre am</w>
-we ight</w>
-ch oo
-ni ght
-ha ven</w>
-fr anc
-kh an</w>
-buil t</w>
-hel ping</w>
-tru st</w>
-ty pe</w>
-gol den</w>
-ta x</w>
-s now
-s wi
-di sa
-questi ons</w>
-ve y</w>
-li ght
-c n
-cl oud</w>
-thom as</w>
-ag ed</w>
-sh ou
-te ams</w>
-gr an
-re ason</w>
-a a</w>
-you tube</w>
-v p</w>
-pi zz
-manag er</w>
-bur y</w>
-cre dit</w>
-tre at</w>
-ma x</w>
-i k
-ma in
-g ing</w>
-de ad
-pro bab
-ye ah</w>
-ã Ĥ
-br and
-so li
-pl ant</w>
-ta yl
-gir l
-ðŁĺ Ń</w>
-nam ent</w>
-au to
-mess age</w>
-ko re
-n ur
-ter r
-ag u
-ma p</w>
-sen ting</w>
-lo ves</w>
-gi ves</w>
-g ab
-z en</w>
-ro bert</w>
-con fir
-w ars</w>
-o m</w>
-sta in
-cam era</w>
-and er</w>
-won der</w>
-a b</w>
-ca p</w>
-s old</w>
-su it</w>
-wal king</w>
-contin ue</w>
-effe c
-dau ghter</w>
-d anc
-cha in</w>
-mul ti
-ki d
-y an
-champi on</w>
-v o</w>
-ta ins</w>
-ho st</w>
-min i</w>
-mis sed</w>
-re sc
-ly n
-fin ish</w>
-del icious</w>
-s as
-tayl or</w>
-i b
-pro mis
-produc ts</w>
-moun tain</w>
-flori da</w>
-regi ster</w>
-tre at
-rec ent</w>
-fe male</w>
-boo th</w>
-mat t</w>
-ve hic
-s op
-mo tor
-suppor ting</w>
-phi c</w>
-ex tre
-dr ink</w>
-lan e</w>
-th ird</w>
-p s
-con stru
-ce re
-far m</w>
-ðŁİ ī</w>
-tu red</w>
-ðŁij ī</w>
-c ats</w>
-a j
-gi e</w>
-shoo ting</w>
-as ked</w>
-paki stan</w>
-am e
-m b</w>
-g il
-leg al</w>
-squ are</w>
-in vol
-dra w</w>
-oo oo
-!! !!
-opportun ity</w>
-p y
-e i
-b ts</w>
-teach er</w>
-charac ter</w>
-john son</w>
-br on
-ly wood</w>
-ch ine
-c ing</w>
-c ine
-d ge
-gam ing</w>
-russi a</w>
-ci a</w>
-quo te</w>
-ric h</w>
-go v
-flow ers</w>
-sp iri
-st in</w>
-grow th</w>
-ðŁı ¼</w>
-comm er
-j uni
-mu m</w>
-r an</w>
-s na
-a ren
-c b
-ac tor</w>
-col or
-si t</w>
-pa ir</w>
-ch i</w>
-bo w</w>
-acade my</w>
-hel d</w>
-r ang
-me tal</w>
-y l</w>
-ac tive</w>
-probab ly</w>
-t ch</w>
-need ed</w>
-spe e
-cho ice</w>
-ital y</w>
-ry an</w>
-ðŁĩ º
-flow er</w>
-v it
-m n</w>
-found ation</w>
-b ak
-si ons</w>
-ne igh
-f loo
-he ard</w>
-re mo
-fre sh
-ing ing</w>
-re f
-to wn
-cl ou
-je sus</w>
-spiri t</w>
-cou ldn</w>
-z es</w>
-ðŁĴ Ļ</w>
-willi ams</w>
-pro ce
-moder n</w>
-pro cess</w>
-sho es</w>
-cre ated</w>
-tri c</w>
-issu es</w>
-ann e</w>
-att en
-de but</w>
-h r</w>
-n it
-sti g
-a po
-e ps</w>
-z u
-ã Ģ
-si x</w>
-car ds</w>
-lan gu
-fam ous</w>
-tour nament</w>
-se l</w>
-e bay</w>
-y n</w>
-st on
-k ick
-announ ced</w>
-k am
-vo c
-brilli ant</w>
-hou se
-che ese</w>
-war ri
-mus ic
-ho ckey</w>
-ðŁĺĤ ðŁĺĤ</w>
-sk ills</w>
-au tom
-smar t</w>
-med ical</w>
-mon y</w>
-e x</w>
-gu ar
-gi ve
-pers onal</w>
-ven tion</w>
-al li
-pre ss
-flo or</w>
-m c</w>
-victor y</w>
-hi m
-simp le</w>
-th or
-ðŁĩº ðŁĩ
-ta il</w>
-lu cky</w>
-ale x</w>
-qu ite</w>
-bo t
-ssi ons</w>
-chall eng
-c ann
-amaz on</w>
-h ell</w>
-b ought</w>
-) :</w>
-ed y</w>
-secre t</w>
-produc tion</w>
-inde pend
-de fe
-ad ded</w>
-p r</w>
-p ag
-be d
-gre atest</w>
-with in</w>
-j ay</w>
-ðŁ ¥
-ire land</w>
-re ly</w>
-s d</w>
-te xt</w>
-dri ving</w>
-pro gram
-spe ed</w>
-col um
-str on
-Ã ©</w>
-fore st</w>
-â ĸ
-mach ine</w>
-co in</w>
-sc ar
-oun t</w>
-bi e</w>
-¡ ï¸ı</w>
-por tra
-comm on</w>
-wre st
-recei ved</w>
-kno w
-inve st
-pl ans</w>
-ac cor
-ad op
-ter y</w>
-re ali
-p p</w>
-k al
-art work</w>
-me an
-go d
-inste ad</w>
-an ci
-motiv ation</w>
-as ing</w>
-inspir ation</w>
-up coming</w>
-polit ical</w>
-euro pe
-m ers</w>
-heav y</w>
-ðŁij į</w>
-fe bru
-scot land</w>
-ou gh
-b t</w>
-bo ss</w>
-sche du
-spe ak</w>
-n ick
-u red</w>
-in o
-e k
-ri sk</w>
-tor y</w>
-pres ents</w>
-b on</w>
-ru g
-st ates</w>
-exhib ition</w>
-il o
-m ill
-br ought</w>
-: -)</w>
-tou ri
-com e
-offici ally</w>
-champi ons</w>
-do ors</w>
-re p
-po se</w>
-ex tra</w>
-k ings</w>
-soc cer</w>
-squ ad</w>
-app lic
-at a</w>
-some times</w>
-t ari
-excell ent</w>
-ðŁĺ ĺ
-stra ight</w>
-car ol
-ri p</w>
-âĢ į
-gra phic</w>
-m ol
-elec tion</w>
-febru ary</w>
-as ons</w>
-l i</w>
-di r
-m t
-n ick</w>
-u su
-m rs</w>
-com ics</w>
-inst itu
-cor por
-v i</w>
-ðŁĻ ı
-tu ral</w>
-di se
-ac ci
-we are
-am ong</w>
-sho pping</w>
-t ill</w>
-wh at
-cha ir</w>
-sp an
-chine se</w>
-innov ation</w>
-jo y</w>
-k it</w>
-cent ury</w>
-ob ama</w>
-ph ili
-f c
-re ach</w>
-c iti
-ul ous</w>
-n on
-d ang
-happ ening</w>
-bur n</w>
-p el
-or ange</w>
-d v
-k ick</w>
-cla im
-ing ham</w>
-ph y</w>
-no v</w>
-pod cast</w>
-wh i
-ni ghts</w>
-ear lier</w>
-be ar</w>
-la h</w>
-exc iting</w>
-or a</w>
-gi ven</w>
-s lo
-memor ies</w>
-contin ues</w>
-produc t</w>
-gh o
-c d
-kno ws</w>
-ðŁİ ī
-publi shed</w>
-discu ss</w>
-y ard</w>
-i phone</w>
-tri es</w>
-w all
-fe b</w>
-are n</w>
-tru th</w>
-win ners</w>
-tu re
-diti onal</w>
-milit ary</w>
-proble m</w>
-m and
-do g
-lo ss</w>
-c ric
-can adi
-ve ter
-villa ge</w>
-" ,</w>
-y r</w>
-un g</w>
-don ald</w>
-ag ing</w>
-bir ds</w>
-sci enti
-le s
-th is
-regi on</w>
-tic al</w>
-itt en</w>
-il a</w>
-ðŁĺ İ</w>
-d ad
-di am
-abo ve</w>
-st ren
-li t</w>
-p ir
-la b</w>
-fo cus</w>
-bus y</w>
-d ur
-app ly</w>
-s ma
-auth or</w>
-ac i
-exe cu
-dom in
-re la
-jack son</w>
-at o</w>
-wash ington</w>
-ðŁĻ Į
-k ill</w>
-popu lar</w>
-ce ment</w>
-ro ad
-e ating</w>
-loc ation</w>
-v ent
-ar re
-n an
-cu sto
-advent ure</w>
-or din
-spor t
-ul t</w>
-lo ck</w>
-questi on</w>
-dri ver</w>
-land sc
-on i
-k ins</w>
-p d
-jor dan</w>
-te red</w>
-k k
-a f</w>
-chil d
-s p</w>
-just in</w>
-en i
-s elling</w>
-z o
-wh it
-bo ston</w>
-partic ip
-sig ning</w>
-happ ened</w>
-he at</w>
-m am
-dre ams</w>
-lo ws</w>
-gra ph</w>
-the day</w>
-head ing</w>
-br o</w>
-ble ssed</w>
-vi c</w>
-ve gas</w>
-h d</w>
-in ning</w>
-ro man
-and ro
-den ti
-u se
-c it
-pro gress</w>
-writ er</w>
-bo b</w>
-ff s</w>
-gro wing</w>
-b ly</w>
-aw are
-ex am
-sp ent</w>
-be t</w>
-sc ore</w>
-bey ond</w>
-do cu
-ad el
-s f
-cou ra
-colla bor
-in c</w>
-priv ate</w>
-bo at</w>
-* *</w>
-z one</w>
-p ha
-b ill
-to tal</w>
-plan ning</w>
-to wards</w>
-plac es</w>
-pre view</w>
-cre ative</w>
-dam n</w>
-ide as</w>
-se ems</w>
-po ten
-say ing</w>
-di splay</w>
-s w</w>
-a qu
-lou is</w>
-by e</w>
-li l</w>
-e mail</w>
-we stern</w>
-ger many</w>
-ell er</w>
-re s
-f ant
-ment ary</w>
-de als</w>
-ric hard</w>
-jer sey</w>
-stren g
-ra d
-pizz a</w>
-mon d</w>
-w are</w>
-l ac
-g i</w>
-ar chi
-c d</w>
-yel low</w>
-rec ently</w>
-re ach
-à ¹
-kitch en</w>
-desig ned</w>
-tr y
-g al</w>
-restaur ant</w>
-at ure</w>
-w w</w>
-j as
-l ma
-ðŁij Į</w>
-pa in</w>
-av o
-min ute</w>
-sch ol
-ther ap
-tic ket</w>
-d ry</w>
-jap an
-diti ons</w>
-ter ri
-sel ves</w>
-happ en</w>
-t up</w>
-ma g</w>
-cop y</w>
-sh er</w>
-free dom</w>
-f ile</w>
-speci ally</w>
-tor onto</w>
-lo ad
-g ary</w>
-re y</w>
-answ er</w>
-lo y
-cau ght</w>
-pri ze</w>
-u ne
-fic ation</w>
-ni ger
-sy d
-tou ch</w>
-feat ure</w>
-jaz z</w>
-recor ds</w>
-him self</w>
-di sh</w>
-ro ber
-spot ted</w>
-ma ster
-wa ve</w>
-fin als</w>
-bu ll
-for um</w>
-al d
-re comm
-ch a</w>
-a e</w>
-d oo
-inst ru
-tru ly</w>
-l g
-in k
-bro thers</w>
-de st</w>
-j im</w>
-m it</w>
-clo sed</w>
-is on</w>
-tri ed</w>
-s anta</w>
-af fe
-w an</w>
-hor se</w>
-g row</w>
-camp us</w>
-rel ation
-nati ve</w>
-jour n
-go v</w>
-o ct</w>
-k it
-b ound</w>
-part ner</w>
-re ma
-crow d</w>
-! )</w>
-c alls</w>
-ra il
-qu ali
-solu tion</w>
-con test</w>
-con vers
-sn ap
-b ase</w>
-in iti
-ta x
-y e</w>
-ent repre
-it or</w>
-constru ction</w>
-foo d
-present ed</w>
-n ings</w>
-cli mate</w>
-k m</w>
-mo del
-b j
-blo ck</w>
-present ation</w>
-dre am
-fi x
-c alling</w>
-bus ine
-con gress</w>
-under stand</w>
-we b</w>
-val ue</w>
-ï¸ı âĥ£</w>
-mex ico</w>
-it ely</w>
-ki m</w>
-char ity</w>
-ref lec
-bl an
-fl ying</w>
-anal y
-famil ies</w>
-b and
-reci pe</w>
-celebr ation</w>
-ac cep
-ar y
-to t
-g b</w>
-intere sted</w>
-cap tain</w>
-âĻ ¥
-ti p</w>
-ab sol
-bra z
-inve stig
-o logy</w>
-de c</w>
-tru ck</w>
-ver ing</w>
-c lear
-don t</w>
-go tta</w>
-ad vis
-beg ins</w>
-ma ss
-de scri
-blo ck
-k im
-davi d
-son gs</w>
-memor ial</w>
-feat ures</w>
-su stain
-' .</w>
-gra b</w>
-jo se
-v a
-con serv
-se ts</w>
-man chester</w>
-fi ghting</w>
-de gre
-ag a</w>
-in d</w>
-sle ep
-pos ition</w>
-ha ir
-sig ns</w>
-pol icy</w>
-it o</w>
-al ert</w>
-st am
-sp end</w>
-w y
-absol ut
-d m</w>
-anim al</w>
-my ster
-success ful</w>
-proble ms</w>
-ro bo
-k ay
-gar den
-p d</w>
-may or</w>
-d ale</w>
-t ol
-off ers</w>
-vis iting</w>
-friend ly</w>
-tre es</w>
-offic er</w>
-accoun t</w>
-ke vin</w>
-ðŁij į
-gi ant</w>
-contin u
-con su
-tr act</w>
-n fl</w>
-ðŁĺ Ĭ
-h q</w>
-b ility</w>
-a ar
-dis ney</w>
-te en</w>
-on ed</w>
-wh ite
-tra iler</w>
-de dic
-al one</w>
-absolut ely</w>
-dig ital
-willi am</w>
-in ation</w>
-s wa
-e e</w>
-enti re</w>
-ger man</w>
-ro ll
-h its</w>
-co st</w>
-st ay
-th a</w>
-ali ve</w>
-accor ding</w>
-co t
-liter ally</w>
-her it
-re ti
-haha ha</w>
-exper i
-li kes</w>
-g t</w>
-ste el</w>
-__ __
-ch air
-christi an</w>
-to wer</w>
-diffe rence</w>
-m d</w>
-tre ss</w>
-mi d</w>
-prin ce</w>
-afric an</w>
-fe der
-foo t</w>
-car ri
-ser ved</w>
-r ice</w>
-sh all</w>
-feat ured</w>
-ck er</w>
-rec ru
-po e
-sen se</w>
-ni fic
-com edy</w>
-cont ent</w>
-f at
-po sted</w>
-con tribu
-tim ate</w>
-li ver
-mb le</w>
-inter net</w>
-ag e
-europe an</w>
-cl ing</w>
-gla d</w>
-ff ic
-sc o</w>
-ak es</w>
-el le</w>
-ter min
-ton y</w>
-p ale
-col our</w>
-seri ous</w>
-pat ri
-movi es</w>
-b m
-professi onal</w>
-ad o
-al u
-br inging</w>
-f alls</w>
-isra el</w>
-ter m</w>
-langu age</w>
-bro ok
-man n</w>
-commun ic
-can not</w>
-ac ti
-p he
-y an</w>
-entrepre ne
-tur key</w>
-log ical</w>
-lon g
-ar m</w>
-ur s</w>
-work ers</w>
-ing ly</w>
-gg s</w>
-ri c</w>
-tu al</w>
-recei ve</w>
-op ens</w>
-ge ar</w>
-soci al
-fe et</w>
-c king</w>
-ad ver
-fin an
-fe els</w>
-sp la
-h r
-ea ster</w>
-bra in</w>
-ã ģ
-fi g
-le dge</w>
-ne arly</w>
-prote ct</w>
-ma ssive</w>
-e th
-aw a
-ðŁĺ ģ</w>
-y rs</w>
-aware ness</w>
-defin itely</w>
-k n
-imag ine</w>
-k u</w>
-syste ms</w>
-ðŁij ı</w>
-f as
-li k
-provi de</w>
-am o
-disco ver</w>
-inf lu
-ma ker</w>
-g az
-fit ness</w>
-stre et
-er s
-te d
-w c
-ys is</w>
-pos itive</w>
-hel ped</w>
-que st</w>
-andre w</w>
-bra d
-b in
-hang ing</w>
-l ing
-bri ght</w>
-se ction</w>
-ma ss</w>
-ðŁĻ Į</w>
-follow ers</w>
-ho sting</w>
-tem por
-fla g</w>
-a ve</w>
-let ter</w>
-k ur
-re qui
-of ten</w>
-cry p
-su ff
-âļ ½
-russi an</w>
-treat ment</w>
-al le
-ha y
-l an</w>
-keep ing</w>
-hol y</w>
-power ful</w>
-pre dic
-fun d</w>
-e specially</w>
-windo w</w>
-je wel
-il y
-ðŁĴ ľ</w>
-gener ation</w>
-app a
-seri ously</w>
-o d
-ðŁĺĤðŁĺĤ ðŁĺĤ</w>
-cer ti
-iri sh</w>
-ðŁij Į
-mi ami</w>
-be th</w>
-v ity</w>
-se cu
-che f</w>
-cri me</w>
-graph y</w>
-ma x
-arti sts</w>
-re volu
-gu ard</w>
-spee ch</w>
-u c
-upd ates</w>
-fac es</w>
-st ant</w>
-chang ed</w>
-repor ts</w>
-low er</w>
-pe ar
-n c</w>
-k il
-loo ked</w>
-spe aker</w>
-s f</w>
-re spect</w>
-ok ay</w>
-oce an</w>
-s itting</w>
-architec ture</w>
-tra il</w>
-se at</w>
-i ra
-le g</w>
-japan ese</w>
-d am</w>
-u lar</w>
-sw im
-polit ics</w>
-finan cial</w>
-ol d
-mou th</w>
-at temp
-de stin
-fi shing</w>
-atten tion</w>
-me m
-chang es</w>
-deci ded</w>
-reli gi
-g in</w>
-c av
-z z</w>
-ad am</w>
-ma c</w>
-wr ite</w>
-beg in</w>
-sc ul
-al ter
-is s</w>
-ath on</w>
-imag es</w>
-m oo
-jo ined</w>
-ðŁĺ ī</w>
-âŀ ¡ï¸ı</w>
-pas sed</w>
-mu sli
-h ir
-lar gest</w>
-cam er
-com ic</w>
-gh ted</w>
-rug by</w>
-bur gh</w>
-gg ing</w>
-te sting</w>
-pre par
-lau gh
-al ed</w>
-impro ve</w>
-beli ev
-adv ice</w>
-sha res</w>
-he art
-tur ning</w>
-s b</w>
-t el
-caf e</w>
-n es</w>
-dani el</w>
-pat ter
-t z</w>
-se tt
-par k
-c and
-st ick</w>
-happ ens</w>
-bri an</w>
-ne west</w>
-e pic</w>
-ad or
-ki es</w>
-war ning</w>
-anim als</w>
-custo m</w>
-ar c
-di an</w>
-gol d
-cor e</w>
-t f</w>
-c ity
-pan ts</w>
-re ality</w>
-con fi
-in ju
-fo x
-gu il
-k new</w>
-âĺ º
-cor rec
-itu de</w>
-d den</w>
-. #</w>
-re duc
-pas s
-f on
-y a
-ow ner</w>
-re turns</w>
-n c
-e ast
-ap ol
-in sur
-th o</w>
-si m
-juni or</w>
-be e</w>
-ang el
-att le</w>
-elec tric</w>
-hor ror</w>
-cra sh</w>
-e ye
-pat h</w>
-sou thern</w>
-emplo ye
-ge o
-t an</w>
-ha z
-r ally</w>
-ðŁı »
-proper ty</w>
-was n</w>
-enjo yed</w>
-gre y</w>
-g as
-bre w
-nor thern</w>
-hol ding</w>
-g p</w>
-ta ke
-ch art</w>
-ly n</w>
-dr ama</w>
-z o</w>
-pa id</w>
-throw back</w>
-cu p
-discu ssion</w>
-down town</w>
-w ill
-le w
-b is
-t ary</w>
-bre ad</w>
-up on</w>
-r ate</w>
-teach ers</w>
-it ation</w>
-anc ed</w>
-cy cle</w>
-choo se</w>
-d c
-ir an</w>
-co w
-da ve</w>
-ra ise</w>
-prin cess</w>
-fa ith</w>
-- ></w>
-indu stri
-sp ain</w>
-guit ar</w>
-fac ts</w>
-m n
-sp en
-cour te
-go tt
-projec ts</w>
-au di
-o sc
-pe ter
-s and</w>
-intere st</w>
-happ iness</w>
-ven ue</w>
-sol di
-surpri se</w>
-poten tial</w>
-per io
-custom er</w>
-i i
-g ni
-manu fac
-e co
-bro ken</w>
-sing er</w>
-vel s</w>
-wal es</w>
-hu s
-in j
-f our
-tal ent</w>
-d ying</w>
-mat the
-fil m
-jo ining</w>
-s ell</w>
-j ar
-lma o</w>
-sur ger
-bb c
-sour ces</w>
-au stin</w>
-ni k
-char les</w>
-f am</w>
-prin ci
-ange l</w>
-cas h</w>
-lo t
-o red</w>
-pla ys</w>
-pl ate</w>
-don e
-memor y</w>
-br ings</w>
-n ba</w>
-solu tions</w>
-teach ing</w>
-gr ace</w>
-cir cu
-hel ps</w>
-foun der</w>
-mar y
-expl ore</w>
-de cor
-par ts</w>
-ch o</w>
-inte gr
-ha u
-is es</w>
-pu tting</w>
-in er</w>
-r it
-v y</w>
-mic hel
-blu es</w>
-every day</w>
-for ms</w>
-bi o</w>
-ye ar
-p in</w>
-t ter</w>
-spr ing
-) )</w>
-po t</w>
-al ing</w>
-perform ing</w>
-sh an
-plan et</w>
-mus ical</w>
-head s</w>
-it alian</w>
-stru gg
-âĢį âĻ
-w ings</w>
-pu mp
-h h</w>
-tr ou
-a id</w>
-pri me</w>
-ear th
-pa int</w>
-mon t
-am y</w>
-bb c</w>
-fab ulous</w>
-fru it</w>
-andro id</w>
-bour ne</w>
-cere mony</w>
-enti al</w>
-? ?
-deb ate</w>
-on ing</w>
-dra ft</w>
-sol ar</w>
-t x</w>
-j am</w>
-cor n
-!! !!!</w>
-bro o
-mil k</w>
-po sed</w>
-o hi
-mo vement</w>
-b ren
-part ner
-p g</w>
-et te</w>
-ar ies</w>
-sh out</w>
-n g</w>
-leav ing</w>
-t ells</w>
-sen s
-ta ste</w>
-kel ly</w>
-wor l
-gy m</w>
-ric h
-e gy
-pi d</w>
-ma s
-â Ĥ
-courte sy</w>
-fran k</w>
-incre ase</w>
-wr itten</w>
-pp ers</w>
-re l</w>
-ha i</w>
-s as</w>
-s ound
-tt i</w>
-w ich</w>
-ri ver
-.. ."</w>
-a g</w>
-fel low</w>
-ro me</w>
-sm all
-gen cy</w>
-ic an</w>
-lux ury</w>
-pro of</w>
-me t
-wild life</w>
-mom ents</w>
-ra ther</w>
-cor ner</w>
-com pe
-canadi an</w>
-lik ely</w>
-therap y</w>
-li am
-econom ic</w>
-indi e
-rou te</w>
-fi ght
-ho pe
-se tting</w>
-ant ly</w>
-cro ss
-fant asy</w>
-de e
-sket ch</w>
-comp li
-ym i</w>
-ru les</w>
-engine ering</w>
-fig ure</w>
-ro w
-. ,</w>
-f w</w>
-syd ney</w>
-w ou
-t ation</w>
-dre w</w>
-us es</w>
-the re
-sp read</w>
-struc ture</w>
-pat rick</w>
-appa rently</w>
-ro s
-h ills</w>
-w we</w>
-ann y</w>
-com mission</w>
-di v
-f ying</w>
-con sul
-anal ysis</w>
-ex i
-ten nis</w>
-vehic le</w>
-ðŁĺŃ ðŁĺŃ
-as s</w>
-high ly</w>
-op ened</w>
-b ann
-ðŁĴ Ļ
-mp h</w>
-wi shing</w>
-v or</w>
-fi f
-give away</w>
-r r
-ra y
-je ss
-g at
-ic ymi</w>
-x it</w>
-high est</w>
-yor k
-pi e</w>
-invol ved</w>
-high er</w>
-ri e</w>
-mal ay
-int elli
-desp ite</w>
-che e
-sar ah</w>
-be an</w>
-reco gni
-ar sen
-tal ented</w>
-pas sion</w>
-ic h
-ab c</w>
-lead s</w>
-dise ase</w>
-v is</w>
-se c</w>
-pre senting</w>
-m illi
-hol e</w>
-sho ts</w>
-de part
-surger y</w>
-gov t</w>
-b in</w>
-du al</w>
-e vi
-lon ger</w>
-ev ol
-scre en
-portra it</w>
-et c</w>
-lo se</w>
-ch at
-p en</w>
-p i</w>
-om a</w>
-s ick</w>
-er c
-compan ies</w>
-en try</w>
-plan e</w>
-gr y</w>
-ven e
-liver pool</w>
-premi ere</w>
-sha red</w>
-a red</w>
-fil ms</w>
-ir a</w>
-holi days</w>
-cric ket</w>
-ici an</w>
-v ing
-. )</w>
-ul timate</w>
-di vision</w>
-con duc
-se pt</w>
-for ces</w>
-mon t</w>
-s mart
-disa pp
-sun shine</w>
-in d
-b less</w>
-ma de
-col ors</w>
-fran k
-ir on</w>
-bott le</w>
-s go
-m ood</w>
-j ason</w>
-er ic</w>
-bir th</w>
-te en
-respon se</w>
-tar get</w>
-state ment</w>
-fe ar</w>
-th el
-al um
-ar ab
-bl in</w>
-direc tion</w>
-ste ps</w>
-er ial</w>
-wor ked</w>
-at l
-ðŁĴ ķ
-fel t</w>
-pol i</w>
-scen es</w>
-hom es</w>
-b ell
-e at
-ate ful</w>
-t in</w>
-l ace</w>
-fol ks</w>
-p se</w>
-an n</w>
-wis dom</w>
-fa v</w>
-but ter
-s r</w>
-are as</w>
-sm oo
-bi z</w>
-dg es</w>
-app o
-mo re
-the m
-effe ct</w>
-windo ws</w>
-sun ny</w>
-cap ital</w>
-tot ally</w>
-c ities</w>
-gr ant</w>
-mb ers</w>
-s low</w>
-au tu
-il ities</w>
-w ro
-ri sing</w>
-st ics</w>
-viol ence</w>
-i gh</w>
-qu ot
-h it
-t c</w>
-herit age</w>
-bu ff
-ne s
-z ar
-den tial</w>
-ex ac
-ed ge</w>
-de ep
-aren a</w>
-be came</w>
-benef its</w>
-mar ks</w>
-mb er
-a z</w>
-am es</w>
-pre ci
-dra gon</w>
-re g
-d ings</w>
-do s</w>
-ðŁĴ ª
-n el
-s ity</w>
-me al</w>
-di st
-leg end
-pur chase</w>
-pic al</w>
-st ick
-f at</w>
-du ba
-profe ss
-car to
-pro f</w>
-coun tries</w>
-respon si
-se qu
-fa b</w>
-tribu te</w>
-hon ored</w>
-prac tic
-pur ple</w>
-an ton
-pa red</w>
-t ough</w>
-summ er
-environ ment</w>
-s ons</w>
-ðŁĻ ı</w>
-m ps</w>
-gi es</w>
-her oes</w>
-t elling</w>
-hen ry</w>
-f en
-know ledge</w>
-Ģ ï¸ı</w>
-f r</w>
-ne g
-u re
-ac king</w>
-hear ts</w>
-s oo
-hol lywood</w>
-ju mp
-sau ce</w>
-schedu le</w>
-tur n
-yo ga</w>
-cre ating</w>
-c ket</w>
-cre ek</w>
-â Ń
-custom ers</w>
-ma dri
-gu l
-asse mb
-moun t</w>
-c ell</w>
-to p
-st al</w>
-dav is</w>
-t wi
-sig n
-premi er</w>
-iti ons</w>
-he aring</w>
-un k</w>
-pati ents</w>
-app ear
-heav en</w>
-al ty</w>
-doc tor</w>
-a e
-plat form</w>
-je ff</w>
-ðŁĵ ·</w>
-regi onal</w>
-bi d</w>
-box ing</w>
-ex ten
-or ity</w>
-a w</w>
-w ise</w>
-il le</w>
-sever al</w>
-bi e
-s itu
-sy ria</w>
-âľ ħ</w>
-remin der</w>
-enter tain
-li on</w>
-part ners</w>
-in n</w>
-ph ar
-f au
-pl s</w>
-expe cted</w>
-sug ar</w>
-deci sion</w>
-s b
-ch ron
-associ ation</w>
-leav es</w>
-vis ited</w>
-sh ap
-ðŁĴ ĸ</w>
-fur ther</w>
-h ann
-w i</w>
-run s</w>
-l er
-fun ding</w>
-fil led</w>
-.. ....</w>
-tin y</w>
-han g</w>
-or g</w>
-co ol
-se min
-ðŁı Ĩ</w>
-spon s
-nav y</w>
-sa int</w>
-dru g</w>
-d al</w>
-r oun
-co vered</w>
-tra ditional</w>
-invest ment</w>
-de te
-al ism</w>
-f low</w>
-n is
-sun rise</w>
-fe at</w>
-f ted</w>
-we ird</w>
-je re
-ve gan</w>
-medic ine</w>
-an o
-ac cu
-deli very</w>
-temp le</w>
-chang ing</w>
-wil son</w>
-phili pp
-re fe
-n d
-is er</w>
-g ay</w>
-r and
-ati ves</w>
-t ely</w>
-p and
-intelli g
-g are
-am bas
-de mon
-commit tee</w>
-strate gy</w>
-refu ge
-bud get</w>
-prote c
-pi er
-ex press</w>
-nom in
-econom y</w>
-al low
-ic on</w>
-gal ax
-o h
-indi vi
-dem and</w>
-vir gin
-lu ke</w>
-ali sts</w>
-man i
-s mi
-ju dge</w>
-ent y</w>
-mic hi
-resul t</w>
-am ed</w>
-spe aks</w>
-' ,</w>
-hou ston</w>
-sh in
-b ing</w>
-fl y
-ch em
-au to</w>
-v as
-ge t
-ar m
-thank s
-d in</w>
-gan g</w>
-x x
-si on
-loc ated</w>
-p l</w>
-jo sh</w>
-in fo
-jo ins</w>
-adver ti
-ot d</w>
-el d</w>
-si e</w>
-re asons</w>
-v ent</w>
-ðŁĩºðŁĩ ¸</w>
-â ł
-convers ation</w>
-stu di
-ðŁĶ¥ ðŁĶ¥
-go s</w>
-s ounds</w>
-un it</w>
-mu sc
-ge l</w>
-ack ed</w>
-pac i
-co s</w>
-de re
-u u
-a o</w>
-la m</w>
-inspir ing</w>
-ar ms</w>
-tw are</w>
-mat ters</w>
-ad dic
-du de</w>
-ex t
-cri sis</w>
-b ath</w>
-me et
-sing h</w>
-expe ct</w>
-del hi</w>
-resc ue</w>
-wor st</w>
-au g</w>
-shi pping</w>
-ser ving</w>
-st o</w>
-dar k
-ac es</w>
-histor ic</w>
-landsc ape</w>
-desig ner</w>
-b illion</w>
-gr ateful</w>
-wa ke</w>
-e ve
-m iller</w>
-hou sing</w>
-dy nam
-is co</w>
-be ha
-sh op
-pr ou
-e as
-a sia</w>
-e ding</w>
-k on
-depart ment</w>
-aw ar
-mar ine</w>
-in ci
-photograph er</w>
-ta pe</w>
-lo go</w>
-r ings</w>
-d it
--- --
-vin yl</w>
-w c</w>
-vo ting</w>
-se ven</w>
-ambas sad
-dal las</w>
-t u</w>
-com ment</w>
-k ra
-b les</w>
-w ag
-u d</w>
-au dio</w>
-stri ke</w>
-offici al
-o ts</w>
-me tho
-to ols</w>
-ra di
-al an</w>
-hun t</w>
-wat ched</w>
-a ke</w>
-fa ke</w>
-drin king</w>
-mer ry</w>
-m l</w>
-b day</w>
-ri o</w>
-ni ke</w>
-c ant</w>
-re pe
-co stu
-mur der</w>
-ak ers</w>
-ch ers</w>
-ou ts</w>
-beg inning</w>
-so s</w>
-ad es</w>
-n in
-not es</w>
-wro te</w>
-sol o</w>
-c i</w>
-li ghting</w>
-ur ban</w>
-bre xit</w>
-att end</w>
-shir ts</w>
-pla yo
-ac tress</w>
-pl ic
-stand ard</w>
-quot es</w>
-par ade</w>
-anci ent</w>
-Â ©</w>
-tur ing</w>
-re e</w>
-pri mary</w>
-fla sh</w>
-citi z
-mat es</w>
-ste in</w>
-z i</w>
-clin ton</w>
-sk in
-gen e
-hu m
-g ar</w>
-t le</w>
-y i
-fo cu
-de an</w>
-pl ants</w>
-cy ber
-b u</w>
-om e</w>
-ho p</w>
-ad dress</w>
-ti x</w>
-gi fts</w>
-relation ship</w>
-sub scri
-fe ed</w>
-exac tly</w>
-haw ks</w>
-ex o</w>
-stre ss</w>
-s n</w>
-arre sted</w>
-an e
-sof tware</w>
-z ero</w>
-the me</w>
-mu mb
-im migr
-mi a</w>
-make up</w>
-ple asure</w>
-uni vers
-har b
-eng ine</w>
-ap er</w>
-r in
-br a</w>
-institu te</w>
-le ather</w>
-al th</w>
-sing ing</w>
-co s
-gh ty</w>
-me as
-st ic
-si de
-insur ance</w>
-co t</w>
-pit ch</w>
-moun tains</w>
-cri min
-su pre
-valent ine</w>
-at er</w>
-wou ldn</w>
-sc ale</w>
-rel ated</w>
-re gar
-star tup</w>
-pack ed</w>
-mi ke
-week ly</w>
-p ts</w>
-coun t</w>
-ha r</w>
-gott en</w>
-min d
-ber lin</w>
-con ditions</w>
-swit ch</w>
-cor n</w>
-sa ve
-g li
-emer gency</w>
-tun ed</w>
-sto ck
-discu ssing</w>
-every body</w>
-s day
-whe ther</w>
-wrest ling</w>
-ec es</w>
-gen der</w>
-ch en
-ðŁij Ģ</w>
-madri d</w>
-mar athon</w>
-e gg</w>
-i er</w>
-th x</w>
-as king</w>
-kore a</w>
-wol f</w>
-ay a</w>
-g m</w>
-g au
-at ory</w>
-v r</w>
-gra ss</w>
-k illing</w>
-b ble</w>
-ur o</w>
-un i</w>
-e th</w>
-sh ore</w>
-th en
-re ale
-bot tom</w>
-ex erc
-k ar</w>
-or ies</w>
-ad ri
-san ds</w>
-se x</w>
-. '</w>
-volunte ers</w>
-per form</w>
-par liam
-inclu de</w>
-deli ghted</w>
-execu tive</w>
-fu el</w>
-kis s</w>
-ã ħ
-char ge</w>
-h u</w>
-ca kes</w>
-ve t</w>
-g lu
-agre e</w>
-pr ices</w>
-n au
-h l</w>
-g ru
-ra j
-streng th</w>
-b ic
-sp ending</w>
-al es</w>
-av en
-b last</w>
-: (</w>
-yo f
-nor mal</w>
-si x
-qu ick
-se a
-d aw
-mee ts</w>
-lo vers</w>
-upd ated</w>
-po tat
-comple ted</w>
-coo k</w>
-opportun ities</w>
-p ure</w>
-organ ic</w>
-tem per
-c am</w>
-avo id</w>
-par king</w>
-duba i</w>
-and o</w>
-di stri
-to y</w>
-comple tely</w>
-don ald
-tri al</w>
-bas s</w>
-b oun
-back ground</w>
-v as</w>
-mar vel</w>
-lu m</w>
-ru s</w>
-t ool</w>
-com missi
-throw back
-fin ding</w>
-is lam
-! ?</w>
-st op
-e vil</w>
-or al</w>
-resi dents</w>
-i denti
-o ak
-ðŁİ ¶</w>
-l il
-span ish</w>
-chap ter</w>
-sto pped</w>
-direc t</w>
-ho sted</w>
-pic ked</w>
-lab our</w>
-lew is</w>
-defen se</w>
-à ®
-health care</w>
-wh is
-mat h</w>
-pe ak</w>
-ra ised</w>
-fi x</w>
-bu ll</w>
-th ir
-chel sea</w>
-fol k</w>
-tr e</w>
-can di
-pau l
-ei ther</w>
-ad am
-poe try</w>
-jewel ry</w>
-ðŁ ¦
-pr ay</w>
-Ø §
-g c</w>
-o z</w>
-wi shes</w>
-fore ign</w>
-sun g</w>
-lear ned</w>
-en e</w>
-n ing
-micha el
-illu stration</w>
-legend ary</w>
-w av
-b au
-ðŁļ ¨</w>
-cal end
-stre ets</w>
-â Ĩ
-mon ster</w>
-bu ck
-g r</w>
-scho ol
-ba th
-wa ste</w>
-ne ck
-ha wa
-be ach
-re plac
-jec t</w>
-on er</w>
-fac tory</w>
-coun t
-ðŁĵ ¸</w>
-mor gan</w>
-der ing</w>
-se an</w>
-steph en</w>
-de p
-no vel</w>
-vide os</w>
-ic al
-press ure</w>
-arsen al</w>
-ex pre
-ir s</w>
-tren ding</w>
-ss a</w>
-fla sh
-re sear
-thr ough
-profess or</w>
-scul p
-to s</w>
-gg ed</w>
-mm a</w>
-be e
-a pe
-hun ter</w>
-am i
-he i
-pla stic</w>
-bu cks</w>
-uni verse</w>
-le gen
-niger ia</w>
-ple ased</w>
-ri s
-thin ks</w>
-autu mn</w>
-i ds</w>
-d is</w>
-anth ony</w>
-ðŁı ½</w>
-ak ed</w>
-gla sses</w>
-fin ance</w>
-z er
-k as
-con tract</w>
-nu mbers</w>
-sh aw
-partner ship</w>
-t il
-laun ched</w>
-s al</w>
-victor ia</w>
-theat er</w>
-usu al</w>
-nam es</w>
-perio d</w>
-eli za
-i th
-bar cel
-ro cks</w>
-bag s</w>
-mat e
-distri bu
-j on</w>
-di ffic
-ali zed</w>
-cur ren
-sco red</w>
-b ha
-du blin</w>
-ro se
-in ted</w>
-soli d</w>
-beha vi
-wal ker</w>
-simp ly</w>
-garden s</w>
-head ed</w>
-in i
-ohi o</w>
-we ap
-f o</w>
-gl en
-e state</w>
-ran dom</w>
-th under
-thr u</w>
-k ill
-jac ket</w>
-it i</w>
-entertain ment</w>
-thanks giving</w>
-ent al</w>
-en coura
-el o
-a ther
-tan k</w>
-high lights</w>
-f ting</w>
-ru le</w>
-model s</w>
-bor der</w>
-bj p</w>
-hus band</w>
-in done
-ken ya</w>
-be ars</w>
-al o</w>
-n inten
-pi x
-str o</w>
-or ders</w>
-sal ad</w>
-ro ads</w>
-n or</w>
-l ation</w>
-sop hi
-ðŁı ¼
-pi eces</w>
-b one</w>
-min s</w>
-inclu des</w>
-nu tr
-phi l</w>
-s ent
-fun dra
-ga in</w>
-bor ough</w>
-n ad
-mon day
-activ ity</w>
-it ems</w>
-be coming</w>
-ken ne
-de tro
-car di
-gue sts</w>
-u x</w>
-world wide</w>
-sever e</w>
-new s
-thank ful</w>
-fic tion</w>
-ve ge
-m all</w>
-si an</w>
-er al</w>
-inj ury</w>
-le e
-men u</w>
-danc ing</w>
-scot ti
-exam ple</w>
-( #</w>
-na i
-studi os</w>
-ba i
-ðŁĴ Ľ</w>
-j av
-diam ond</w>
-vin ce</w>
-ric k
-prote ction</w>
-lin col
-cham ps</w>
-appro ach</w>
-d ar</w>
-m ile</w>
-clou ds</w>
-je ff
-in fin
-l ers</w>
-p les</w>
-pe ace
-go p</w>
-âĻ ¡</w>
-tech n
-str a</w>
-a verage</w>
-ef fort</w>
-introduc ing</w>
-di versity</w>
-austr alian</w>
-am p</w>
-boo st</w>
-s ke
-pati ent</w>
-appreci ate</w>
-ici ans</w>
-pu r</w>
-f ell</w>
-woo ds</w>
-illu str
-ðŁ ĸ
-ag ency</w>
-ac tions</w>
-brit ain</w>
-under way</w>
-se attle</w>
-el and</w>
-ag o
-f ill</w>
-stre aming</w>
-pro test</w>
-challeng es</w>
-ky o</w>
-et sy</w>
-coo king</w>
-exper t</w>
-ru ss
-rain bow</w>
-commer cial</w>
-sp in
-be ats</w>
-c ry</w>
-val u
-el i</w>
-th row</w>
-gr ams</w>
-le vels</w>
-michi gan</w>
-c ad
-ador able</w>
-const itu
-w s
-pu b</w>
-mid night</w>
-th at
-net fli
-braz il</w>
-die go</w>
-regu lar</w>
-jo y
-âĤ ¬</w>
-li qu
-ea stern</w>
-k ni
-fl at</w>
-n p</w>
-bro wn
-w er
-se y
-tt ers</w>
-ac ting</w>
-v anc
-cy cling</w>
-program me</w>
-ra w</w>
-comple x</w>
-tat too</w>
-throwback thursday</w>
-se ssions</w>
-ro oms</w>
-si ght</w>
-speci es</w>
-bom b</w>
-lau gh</w>
-ke eps</w>
-mo on
-offic ers</w>
-con ver
-t r</w>
-ha sh
-t ack
-ri ous</w>
-ad ap
-a j</w>
-reco gn
-ex po</w>
-sug ge
-confir med</w>
-rol ling</w>
-dre ssing</w>
-ic t</w>
-fri day
-ph ones</w>
-ri dge</w>
-con cept</w>
-ro y</w>
-ke ys</w>
-ef for
-c ate
-k ne
-ev en
-l ay</w>
-commun ities</w>
-mo d
-n az
-every where</w>
-al ab
-bit coin</w>
-ban ks</w>
-out door</w>
-feder al</w>
-sto res</w>
-h p</w>
-c al</w>
-m ely</w>
-sig nific
-be ar
-re public
-clo ser</w>
-al lah</w>
-pic k
-x d</w>
-pal ace</w>
-ch ill</w>
-b am
-er ous</w>
-un a</w>
-al len</w>
-out standing</w>
-olym pic</w>
-supp ly</w>
-fi gu
-v au
-l p</w>
-char lie</w>
-un es</w>
-> >></w>
-legen ds</w>
-ici al</w>
-co ast
-benef it</w>
-mul ti</w>
-f its</w>
-far mers</w>
-am ount</w>
-si sters</w>
-har ve
-hon ey</w>
-que en
-b ers</w>
-pl ann
-âŃ IJ
-m u</w>
-barcel ona</w>
-al ber
-stat us</w>
-re main</w>
-ex tra
-c andy</w>
-vi ous</w>
-âľ Į
-o v
-warri ors</w>
--- ></w>
-ju mp</w>
-am ar
-x mas</w>
-stu dies</w>
-i ors</w>
-k or
-don ate</w>
-pre p
-fi sh
-im a</w>
-pain ted</w>
-ad mini
-co splay</w>
-spor ts
-dro ps</w>
-fi ghter</w>
-evi dence</w>
-ðŁĴ ª</w>
-la ke
-ro b</w>
-cine ma</w>
-pro file</w>
-Ã ±
-stan ds</w>
-leg acy</w>
-sh ape</w>
-ro of</w>
-ci vil</w>
-i ans</w>
-sy l
-sh am
-vo ted</w>
-re tail</w>
-ph illi
-li sted</w>
-du ty</w>
-n b
-th es</w>
-f are</w>
-au ction</w>
-ffici al</w>
-stor ms</w>
-d p</w>
-l oun
-sh ops</w>
-al y
-ani me</w>
-multi ple</w>
-ðŁĺį ðŁĺį</w>
-psy cho
-je an</w>
-ap art
-candi date</w>
-gg y</w>
-con f</w>
-jose ph</w>
-w ick</w>
-me at</w>
-fr ame</w>
-c l</w>
-for got</w>
-ph y
-f ing
-li ed</w>
-re p</w>
-se ed</w>
-f all
-u fc</w>
-nu t</w>
-lin d
-mo de</w>
-fiel ds</w>
-en ce
-s ley</w>
-ðŁ¤ Ķ</w>
-ch ill
-follow ed</w>
-announ ces</w>
-cor ru
-tro phy</w>
-them selves</w>
-ac le</w>
-al du
-k ong</w>
-l on</w>
-s v
-bro ke</w>
-ander son</w>
-ta i
-stor y
-tempor ary</w>
-activ ities</w>
-k ati
-ari z
-cry stal</w>
-spo ke</w>
-extre mely</w>
-tra ding</w>
-ðŁĴ ļ</w>
-Ã ¼
-in ch</w>
-ed in
-out fit</w>
-equ ip
-ma di
-form ed</w>
-be ef</w>
-po p
-ti ger</w>
-this day</w>
-ti red</w>
-neigh b
-re tro
-is a</w>
-un t</w>
-t as
-kan sas</w>
-de st
-secon ds</w>
-ta y
-hur ric
-o u</w>
-galax y</w>
-dad dy</w>
-bro w
-bur ger</w>
-en ced</w>
-de sk</w>
-ac cur
-secre tary</w>
-el ite</w>
-k ab
-ch in
-touri sm</w>
-bud dy</w>
-ici de</w>
-dre ssed</w>
-u d
-vac ation</w>
-che ers</w>
-com for
-charac ters</w>
-j et</w>
-bu ying</w>
-l ins</w>
-n ap
-reale state</w>
-li e
-af c</w>
-i ii</w>
-f ame</w>
-n r
-b at</w>
-ag ent</w>
-ma kers</w>
-âĢ ¼
-sec tor</w>
-op ti
-le on
-di et</w>
-pra yer</w>
-hi p</w>
-mi r</w>
-le x
-br y
-an a
-pas sing</w>
-w en
-reco very</w>
-ak i</w>
-po pul
-res ort</w>
-mar ia</w>
-stu ck</w>
-read s</w>
-ti er</w>
-perfe c
-netfli x</w>
-p oo
-cham p</w>
-o c</w>
-re duce</w>
-we red</w>
-comm ents</w>
-cla im</w>
-acci dent</w>
-s ag
-h ack
-sal t</w>
-kin da</w>
-k iller</w>
-i os</w>
-z y
-ex change</w>
-lec ture</w>
-eng er</w>
-ic king</w>
-t au
-reve als</w>
-pri son</w>
-z om
-gh an</w>
-u l</w>
-jour nal</w>
-i ot</w>
-tr in
-jon a
-govern or</w>
-cap e</w>
-quar ter</w>
-spec tive</w>
-impre ssive</w>
-bab ies</w>
-t x
-m ill</w>
-o y
-har ri
-jo int</w>
-su e</w>
-collabor ation</w>
-tren d</w>
-revolu tion</w>
-re new
-alum ni</w>
-ge tt
-sh ell</w>
-sun day
-ent u
-ni c</w>
-donald trump</w>
-block chain</w>
-paci fic</w>
-expla ins</w>
-sp y</w>
-ad voc
-par adi
-to f
-star ring</w>
-p av
-fe ed
-br ac
-smo ke</w>
-ham p
-y am
-to kyo</w>
-si mon</w>
-d h
-e ffici
-phys ical</w>
-n j</w>
-ell i</w>
-s low
-gradu ate</w>
-americ ans</w>
-ti fy</w>
-f red</w>
-ap ore</w>
-fin ds</w>
-rob in
-we t</w>
-not ice</w>
-se mi</w>
-un ve
-k om
-pil ot</w>
-scre ening</w>
-da ily
-ðŁĴ Ĺ</w>
-roy al
-sp a</w>
-vo tes</w>
-n ag
-wh ate
-att ending</w>
-exper im
-ad dition</w>
-k ate</w>
-sto l</w>
-m ali
-foo t
-chri st</w>
-ch an</w>
-de e</w>
-lic en
-glo bal
-mo ore</w>
-ti a</w>
-bri gh
-myster y</w>
-y ay</w>
-âĿ¤ï¸ı âĿ¤ï¸ı
-cre ati
-me chan
-clo ck</w>
-di c</w>
-âĢ Ķ
-pp er
-al ph
-through out</w>
-al low</w>
-re sources</w>
-selec tion</w>
-ham il
-bb q</w>
-aa aa
-virgin ia</w>
-dis ney
-en g</w>
-so red</w>
-drin ks</w>
-f ancy</w>
-consi der</w>
-end a</w>
-jan e</w>
-hand made</w>
-du l
-on tari
-i us</w>
-s ville</w>
-color ado</w>
-whate ver</w>
-whe el</w>
-promis e</w>
-ne ver
-desig ns</w>
-ab ly</w>
-sex ual</w>
-vanc ou
-at i</w>
-con vention</w>
-cul tural</w>
-sing apore</w>
-pro mo</w>
-load ed</w>
-gla sgo
-pp l</w>
-n oo
-ke e</w>
-ste m</w>
-men tion</w>
-i do
-cru ise</w>
-ri ding</w>
-be comes</w>
-be y</w>
-âļ½ ï¸ı</w>
-tw in</w>
-dedic ated</w>
-na sh
-de si
-work out</w>
-jen ni
-i v
-grou ps</w>
-rela x
-pho eni
-li ft</w>
-mix ed</w>
-m ck
-p c
-mu st
-me tro</w>
-ci es</w>
-y ar
-a im
-ang er</w>
-i e
-rec y
-marri ed</w>
-dro pped</w>
-eng ag
-le st</w>
-ambassad or</w>
-op h
-de s
-w ick
-assi stant</w>
-nat ur
-fa il</w>
-l td</w>
-shor t
-k ap
-sha w</w>
-bi gger</w>
-rema ins</w>
-crit ical</w>
-sur vey</w>
-co verage</w>
-er son</w>
-win d
-n b</w>
-bil ly</w>
-let es</w>
-ac ts</w>
-jim my</w>
-at lan
-al and</w>
-t c
-import ance</w>
-dam age</w>
-f g</w>
-stor age</w>
-tw t</w>
-bon d</w>
-bal ance</w>
-cr ying</w>
-pu ppy</w>
-vo te
-pu sh</w>
-ðŁĴ ľ
-pol y
-me l</w>
-lon don
-terr ori
-effec tive</w>
-corpor ate</w>
-atl anta</w>
-jac o
-nas a</w>
-gre ek</w>
-sen ate</w>
-i sh
-ev a</w>
-intellig ence</w>
-effor ts</w>
-al co
-k un
-h all
-di ag
-claim s</w>
-fir st
-h b
-ba e</w>
-v ul
-pu ll</w>
-Â °</w>
-se par
-spe ed
-vic ti
-on thisday</w>
-audi ence</w>
-r ates</w>
-te ach</w>
-fil ming</w>
-bu sh</w>
-son g
-y um
-br un
-ra ine</w>
-aw a</w>
-par ks</w>
-ð Ŀ
-ra bb
-ra ch
-ra id</w>
-reach ed</w>
-ra il</w>
-mo ves</w>
-selec ted</w>
-fr i</w>
-ra ising</w>
-om y</w>
-st ones</w>
-su k</w>
-franc isco</w>
-cas es</w>
-cap it
-con fu
-w tf</w>
-po ke
-equip ment</w>
-gre g
-ess ential</w>
-off ering</w>
-ne x
-pi es</w>
-be c
-cre ation</w>
-chair man</w>
-cro wn</w>
-w al</w>
-john ny</w>
-shi ft</w>
-ne ck</w>
-ban g</w>
-bir d
-ðŁĺ ı</w>
-du ck</w>
-re serve</w>
-de pu
-ma sters</w>
-over all</w>
-no tic
-ju ice</w>
-sne ak</w>
-che er</w>
-cla sses</w>
-eag les</w>
-n ca
-car pet</w>
-ci vil
-coach es</w>
-har ris</w>
-u ps</w>
-b alls</w>
-dec or</w>
-mar tin
-ro s</w>
-v ice</w>
-announ cement</w>
-who se</w>
-ti gers</w>
-ste red</w>
-c ts</w>
-dr am
-ste el
-youn g
-inst all
-supp o
-recor ding</w>
-de ck</w>
-se ats</w>
-l der</w>
-ang le</w>
-bo t</w>
-sty les</w>
-elec tions</w>
-for tun
-n ab
-but ter</w>
-ari an</w>
-ka sh
-in ner</w>
-ou red</w>
-be ast</w>
-we i
-ic onic</w>
-exper ts</w>
-ne cess
-b eng
-jam es
-li a</w>
-gre ece</w>
-ðŁĵ ·
-ðŁĺ ģ
-good bye</w>
-m itch
-tw ice</w>
-mumb ai</w>
-ste am</w>
-ru sh</w>
-med al</w>
-ne tt</w>
-fashi on
-t ar</w>
-r s
-sav ing</w>
-ric ul
-l m
-sleep ing</w>
-brook lyn</w>
-mis s
-sen ding</w>
-disco vered</w>
-sp here</w>
-of theday</w>
-k icks</w>
-missi ons</w>
-w right</w>
-er n
-ght ly</w>
-i ous</w>
-mel bourne</w>
-star tu
-mo ved</w>
-car ry</w>
-d ak
-ag ues</w>
-bel gi
-e ma
-way ne</w>
-do t</w>
-er ie</w>
-pe l</w>
-it unes</w>
-matthe w</w>
-no body</w>
-est ab
-cal m</w>
-win ds</w>
-lu c
-prep are</w>
-tren ds</w>
-exerc ise</w>
-adv ant
-ðŁĴ ¯</w>
-athle tics</w>
-app s</w>
-c tions</w>
-adv ance</w>
-laun ches</w>
-litt le
-real donaldtrump</w>
-eliza beth</w>
-carol ina</w>
-hu b</w>
-hi dden</w>
-n w</w>
-us er</w>
-pol l</w>
-great er</w>
-mo st
-f ed</w>
-p at</w>
-life style</w>
-s ati
-sco res</w>
-marri age</w>
-l r</w>
-aven ue</w>
-de serve</w>
-ri f
-ðŁ Ĺ
-wat ch
-champion ships</w>
-gr ay</w>
-en ni
-cot ton</w>
-g om
-whe re
-pack age</w>
-su m
-ab solu
-new ly</w>
-foo ds</w>
-ty ler</w>
-assemb ly</w>
-musli m</w>
-ban k
-re memb
-op tions</w>
-produc er</w>
-land o</w>
-fun ds</w>
-u pper</w>
-shad ow</w>
-pro gre
-co p</w>
-ing e</w>
-leg s</w>
-detro it</w>
-hill ary</w>
-jo se</w>
-gi ants</w>
-sou p</w>
-sustain able</w>
-t us</w>
-clo thes</w>
-roc king</w>
-n z</w>
-min ne
-mat eri
-bru ce</w>
-ear t
-ca sting</w>
-independ ent</w>
-thou sands</w>
-ta h</w>
-de cl
-veter ans</w>
-li ons</w>
-wra p</w>
-âĢ ¦
-de ss
-bl ing</w>
-st ine</w>
-e ggs</w>
-o on</w>
-clo sing</w>
-z ay
-at t</w>
-bac on</w>
-fa il
-ariz ona</w>
-de pre
-gho st</w>
-new sp
-w ers</w>
-vi p</w>
-li ked</w>
-id ent
-volunte er</w>
-ad ult</w>
-pu pp
-cir cle</w>
-mat erial</w>
-degre e</w>
-gro wn</w>
-boo m</w>
-calend ar</w>
-su r</w>
-vie wing</w>
-ath letes</w>
-ch and
-re ll</w>
-asi an</w>
-en tr
-vol ley
-victi ms</w>
-bo dy
-m ama</w>
-trans fer</w>
-ge ek</w>
-in dic
-sav ed</w>
-ma i
-g ent</w>
-it s
-loun ge</w>
-k ol
-the ory</w>
-situ ation</w>
-is lands</w>
-ar th
-z oo</w>
-floo d</w>
-vi ously</w>
-show ed</w>
-parliam ent</w>
-ch ev
-el ine</w>
-at trac
-ab ad</w>
-ta il
-h rs</w>
-lu s</w>
-por tu
-gor y</w>
-provi des</w>
-to ys</w>
-de ath
-in fe
-an ce
-g le
-li am</w>
-lo ver</w>
-hu d
-dv d</w>
-reve aled</w>
-g w
-re ment</w>
-ca the
-l ying</w>
-ra dio
-der by</w>
-stor s</w>
-che mi
-hosp it
-âľ ¨
-' :</w>
-ilo ve
-le mon</w>
-re public</w>
-s ni
-ne ss
-do or
-re action</w>
-pre gn
-fla v
-schol ar
-spo tify</w>
-is ation</w>
-vis ual</w>
-aw are</w>
-spon sored</w>
-jo ke</w>
-less ons</w>
-leg is
-lo ck
-si mil
-ðŁĺ ĭ</w>
-kin d
-la y
-ma h
-ho ping</w>
-vancou ver</w>
-as er</w>
-clean ing</w>
-gal a</w>
-thre at</w>
-la p
-ach e</w>
-ro mance</w>
-ex pen
-re post</w>
-z am
-e pi
-mir ror</w>
-o ak</w>
-ad ul
-bat man</w>
-s lu
-l c</w>
-vie wed</w>
-re views</w>
-d ates</w>
-indone sia</w>
-acti vi
-off en
-lea f</w>
-i si
-ag ricul
-costu me</w>
-s ites</w>
-spir itu
-appear ance</w>
-ir y</w>
-st air
-applic ation</w>
-spec tac
-ic ity</w>
-ski es</w>
-hand le</w>
-pun k</w>
-paradi se</w>
-t n</w>
-de al
-provi ding</w>
-do c</w>
-recei ving</w>
-bre w</w>
-micro soft</w>
-Ã ¶
-fer r
-me tro
-th ail
-y um</w>
-car ter</w>
-Ã ¡
-gent le
-bre aks</w>
-coo per
-show case</w>
-cu tting</w>
-egy pt</w>
-bab y
-semin ar</w>
-gl ori
-ss on</w>
-fa ve</w>
-re hear
-lo tte</w>
-la dy
-al as
-pre p</w>
-deli vered</w>
-nu clear</w>
-ir o</w>
-engag ement</w>
-at ta
-con ven
-z an
-gl ory</w>
-hol ds</w>
-busine sses</w>
-str ange</w>
-sch e</w>
-it self</w>
-gra d</w>
-mar kets</w>
-f alling</w>
-st ats</w>
-ge on</w>
-bu dd
-li s
-she et</w>
-thi si
-co lo
-deser t</w>
-regi stration</w>
-ig n
-expla in</w>
-inter ior</w>
-la ws</w>
-writ ers</w>
-spr ings</w>
-k r
-fri ed</w>
-blo om
-inf ra
-a o
-cre d
-pa st
-line up</w>
-bo o</w>
-bre a
-boo ts</w>
-celebr ity</w>
-att acks</w>
-bro ok</w>
-ev es</w>
-ex cu
-cher ry</w>
-oo p</w>
-fas cin
-boy friend</w>
-se as
-n ine</w>
-effec ts</w>
-po wered</w>
-k ha
-ðŁĺ Ģ</w>
-sh out
-con dition</w>
-i j
-her o
-enter pri
-win ter
-applic ations</w>
-sho e</w>
-g el
-batt le
-pro grams</w>
-w art</w>
-ðŁĴ ¥</w>
-ra p</w>
-ho l</w>
-dang erous</w>
-di a
-coun ter</w>
-ric s</w>
-i or
-k night</w>
-co at</w>
-emo tional</w>
-at ures</w>
-d as</w>
-whe el
-fore cast</w>
-tran sport</w>
-glasgo w</w>
-king dom</w>
-prepar ing</w>
-im medi
-ff in</w>
-awar ded</w>
-prin ting</w>
-ro man</w>
-fight ers</w>
-any more</w>
-bel t</w>
-p ine</w>
-win e
-x i</w>
-employe es</w>
-logi es</w>
-al led</w>
-de mo</w>
-birth day
-ange les</w>
-lo g</w>
-dri vers</w>
-neck lace</w>
-k ath
-s it
-athle te</w>
-ef s</w>
-s burg</w>
-pur pose</w>
-resi stance</w>
-rele ases</w>
-t is</w>
-vari ous</w>
-deli ver</w>
-ch al
-s anc
-opp o
-cra w
-neu ro
-dr a</w>
-suppor ters</w>
-sna p</w>
-diffic ult</w>
-swe ar</w>
-logi st</w>
-pa th
-attemp t</w>
-à ¥
-swim ming</w>
-ste ve
-hur t</w>
-inclu ded</w>
-b ap
-wa re
-ðŁĴ ĭ</w>
-end ers</w>
-ja ke</w>
-le eds</w>
-cli mb
-l b</w>
-im ple
-li sa</w>
-clo thing</w>
-ðŁĺ İ
-d t</w>
-com pla
-sw ing</w>
-stra w
-v als</w>
-k le</w>
-us ers</w>
-stor m
-cu ts</w>
-ontari o</w>
-p an</w>
-hand some</w>
-i ow
-ar gu
-chec king</w>
-scotti sh</w>
-Ķ ï¸ı</w>
-si er</w>
-em ma</w>
-po d</w>
-patter n</w>
-de sh</w>
-en h
-ed ward</w>
-t ing
-k h</w>
-hal f
-lincol n</w>
-mo ther
-al leg
-r c</w>
-volley ball</w>
-d n</w>
-g ay
-all y
-le ton</w>
-gro ve</w>
-l oud</w>
-adv anced</w>
-re spec
-cli ent</w>
-supre me</w>
-thail and</w>
-ho w
-gi g</w>
-to i
-do t
-dol lar</w>
-ðŁij ĩ</w>
-p it</w>
-r b</w>
-h n</w>
-produc ed</w>
-gg ers</w>
-âĨ Ĵ</w>
-ml b</w>
-can vas</w>
-fin eart
-us d</w>
-in the
-p son</w>
-actu al</w>
-s l</w>
-t b</w>
-ip ad</w>
-en sure</w>
-u mb
-w d</w>
-sk a</w>
-mar s</w>
-k end
-f eli
-th ing
-count down</w>
-absolu te</w>
-r out
-dra l</w>
-p y</w>
-inju red</w>
-min t</w>
-hun ting</w>
-mm er</w>
-s age</w>
-li gh
-ac ity</w>
-ex pan
-mur ray</w>
-ar o
-sec ure</w>
-four th</w>
-eag le</w>
-reli ef</w>
-st akes</w>
-industri al</w>
-clar k</w>
-under standing</w>
-see m</w>
-pl enty</w>
-sil ver
-cla u
-thre at
-sa il
-pro duce</w>
-ab str
-is is</w>
-b r</w>
-eng ers</w>
-wor ry</w>
-bie ber</w>
-s j
-just in
-reali ze</w>
-ky le</w>
-esp n</w>
-fil ter</w>
-s ch</w>
-ty pes</w>
-game dev</w>
-d ing
-twit ter
-soldi ers</w>
-p om
-car bon</w>
-y ards</w>
-child hood</w>
-ri ed</w>
-ke l</w>
-ele ph
-t ons</w>
-key note</w>
-qui et</w>
-wi re
-po sting</w>
-is sa</w>
-repre senting</w>
-bac ks</w>
-alex ander</w>
-celebr ates</w>
-ta ining</w>
-| |</w>
-ch or
-esc ape</w>
-pe ek</w>
-ti ves</w>
-fiel d
-ssi e</w>
-im pac
-spons or</w>
-r c
-we dd
-cann ab
-si des</w>
-trac ks</w>
-com par
-con trac
-techn ical</w>
-bi ble</w>
-expl oring</w>
-sh are
-tra v
-n ate</w>
-ill o</w>
-sc ru
-m ingham</w>
-gun s</w>
-of the
-sh ame</w>
-se es</w>
-ca tho
-ac cess
-ce l</w>
-repor ted</w>
-Â »</w>
-mari o</w>
-p ad</w>
-hope fully</w>
-ou se</w>
-y on</w>
-disapp o
-ol o</w>
-p itt
-pa c</w>
-ga p</w>
-cru sh</w>
-s g</w>
-k le
-ge m</w>
-emp ire</w>
-dir ty</w>
-a is
-avi ation</w>
-ze aland</w>
-fac ing</w>
-high way</w>
-d anny</w>
-spi der</w>
-ot ta
-ðŁĺ Ħ</w>
-w y</w>
-col ours</w>
-in fl
-co sts</w>
-olym pics</w>
-au s</w>
-h m</w>
-ho ward</w>
-pas ses</w>
-lau ren</w>
-mu sh
-op in
-r ho
-disc ount</w>
-oper ation</w>
-em ily</w>
-mm m</w>
-cham ber</w>
-d il
-to yo
-shi p
-sam u
-pic tured</w>
-un ic
-po l</w>
-keep er</w>
-carto on</w>
-st en
-ig nor
-n ations</w>
-n l</w>
-ta sting</w>
-deta il</w>
-offici als</w>
-mo tor</w>
-franc is</w>
-ed itor</w>
-ðŁij ĩ
-pe ts</w>
-rang ers</w>
-t g
-r n</w>
-w ri
-nic hol
-i se
-spo ts</w>
-ani e</w>
-chec k
-tri ple</w>
-ku mar</w>
-spe akers</w>
-ic ing</w>
-pre pared</w>
-ab use</w>
-friend ship</w>
-mon th
-swi m</w>
-air e</w>
-sc ent</w>
-hamil ton</w>
-indi an
-j es
-yum my</w>
-te ars</w>
-da wn</w>
-i zed</w>
-worl ds</w>
-ðŁ ķ
-b illi
-st one
-n hs</w>
-ba sic</w>
-p or</w>
-st le</w>
-ir on
-ol der</w>
-cle vel
-e ing</w>
-ðŁĺįðŁĺį ðŁĺį</w>
-prin ts</w>
-fir m</w>
-air craft</w>
-fin est</w>
-devel op</w>
-aar on</w>
-t z
-gra ham</w>
-own ers</w>
-fo li
-less on</w>
-qu es</w>
-bab e</w>
-cra ft
-ph en
-ju n</w>
-bir mingham</w>
-v ine</w>
-ll er</w>
-i an
-fineart america</w>
-evol u
-st ab
-im per
-war d
-com ic
-wi z
-inv ited</w>
-du ke</w>
-mat ch
-por ts</w>
-ro ger</w>
-diag no
-ke pt</w>
-te st
-vis u
-r hy
-so c</w>
-to x
-b aker</w>
-sur face</w>
-co vers</w>
-man s</w>
-b its</w>
-x box</w>
-ff le</w>
-n an</w>
-gar d
-h art</w>
-wat ers</w>
-v illa</w>
-re tro</w>
-light ning</w>
-catho lic</w>
-democr acy</w>
-neigh bor
-pen n
-cr an
-jona than</w>
-la ura</w>
-vi bes</w>
-su b</w>
-coach ing</w>
-clear ly</w>
-uk raine</w>
-bra ve</w>
-commit ment</w>
-t all</w>
-mar t</w>
-ra p
-mo di</w>
-sco tt
-bro s</w>
-show er</w>
-ðŁı ¾</w>
-âĺº ï¸ı</w>
-cou sin</w>
-appro ach
-br e</w>
-com pos
-hil ari
-phil ly</w>
-g ad
-quick ly</w>
-ri an</w>
-t m</w>
-vir tual</w>
-hou ses</w>
-k t</w>
-phoeni x</w>
-w ire</w>
-ff y</w>
-b unch</w>
-anc ing</w>
-tal e</w>
-snap chat</w>
-star ter</w>
-h t</w>
-k icking</w>
-ap art</w>
-th y
-) !</w>
-blo gger</w>
-it z</w>
-com fort</w>
-ang els</w>
-w ash</w>
-" :</w>
-ar gent
-re quest</w>
-hon est
-mi ghty</w>
-bo bby</w>
-k g</w>
-ro l</w>
-thou se</w>
-ex po
-h c</w>
-tab les</w>
-mag ical</w>
-po sts</w>
-de m</w>
-n w
-or lando</w>
-ab er
-* **</w>
-ðŁĺ ľ</w>
-environ mental</w>
-trans formation</w>
-mi le
-w ic
-hir ing</w>
-ma ine</w>
-bo ar
-r ying</w>
-ti s
-nit ure</w>
-twee ted</w>
-anton io</w>
-opin ion</w>
-fin ale</w>
-di y</w>
-f is
-th in</w>
-trou ble</w>
-le go</w>
-fi les</w>
-qu art
-sp a
-curren cy</w>
-cli mate
-fan art</w>
-rail way</w>
-sp ace
-ban ds</w>
-dani el
-mo tion</w>
-l eng
-hol der</w>
-oc cu
-mar ie</w>
-cathe dral</w>
-bu zz
-bi es</w>
-nas car</w>
-bm w</w>
-bat tery</w>
-char lotte</w>
-doc tor
-zz le</w>
-se ven
-in san
-d dy</w>
-st en</w>
-lab or</w>
-thr illed</w>
-se ren
-docu mentary</w>
-wav es</w>
-cer tain</w>
-can did
-allow ed</w>
-ninten do</w>
-star wars</w>
-ta p</w>
-home made</w>
-d les</w>
-ther ing</w>
-bre e
-emp ty</w>
-pi ano</w>
-pos iti
-coun try
-por k</w>
-pu ts</w>
-per ry</w>
-m atic</w>
-spot light</w>
-ti st</w>
-or ities</w>
-we alth</w>
-c p
-bar bar
-commit ted</w>
-as sau
-pro fit</w>
-e ight</w>
-hu l
-fini shing</w>
-run ner</w>
-ss o</w>
-insp ec
-char ged</w>
-christ op
-lo sing</w>
-co al</w>
-ho o</w>
-ele v
-de le
-mo ham
-don ation</w>
-c able</w>
-clin ic</w>
-j in
-manag ed</w>
-ter ing</w>
-â ¬
-ur ban
-depu ty</w>
-bb er</w>
-bur n
-acade mic</w>
-o tt</w>
-sta ke</w>
-it er
-sto wn</w>
-ack er</w>
-advent ures</w>
-ad ams</w>
-gre g</w>
-pro m</w>
-vo l</w>
-ac qu
-con gre
-pa int
-citiz ens</w>
-c all
-af ford
-v c</w>
-as ks</w>
-the tic</w>
-independ ence</w>
-â Ľ
-h itting</w>
-bl on
-fu ture
-â ı
-in no
-gen e</w>
-bo ards</w>
-di stance</w>
-se t
-re mem
-th al
-pre vent</w>
-l ang
-ob jec
-su sp
-mat t
-in duc
-bor o</w>
-pi one
-re di
-vir tu
-prin ted</w>
-sco pe</w>
-shar k</w>
-suc ce
-a stron
-il legal</w>
-j ag
-c ting</w>
-ine e</w>
-at o
-rob in</w>
-nutr ition</w>
-b f</w>
-du tch</w>
-b n</w>
-fur niture</w>
-for gotten</w>
-at ar</w>
-ru p
-hy per
-bran ch</w>
-communic ation</w>
-degre es</w>
-on ia</w>
-un cle</w>
-promo te</w>
-or che
-wi i</w>
-j s</w>
-but ton</w>
-ma jor
-c bs</w>
-bri stol</w>
-premi um</w>
-ordin ary</w>
-e dit</w>
-m g</w>
-we ed</w>
-st even</w>
-: '
-gu s</w>
-te s
-cap tured</w>
-dru gs</w>
-do w
-wr ites</w>
-bi shop</w>
-whe els</w>
-ali zation</w>
-disco very</w>
-w r</w>
-rach el</w>
-ne il</w>
-hy dr
-cu test</w>
-entreprene ur</w>
-kore an</w>
-ore gon</w>
-ul ty</w>
-perfec tly</w>
-suppor ted</w>
-histor ical</w>
-t wins</w>
-ell y
-we l</w>
-de vil</w>
-in come</w>
-scienti sts</w>
-de leg
-h en</w>
-on i</w>
-ic ed</w>
-gi o</w>
-cur ry</w>
-reve al</w>
-e g
-buff alo</w>
-n ol
-op era</w>
-camer on</w>
-haha haha
-j ab
-gradu ation</w>
-cra ig</w>
-r al
-i f
-organi zation</w>
-le ge</w>
-g ang
-su d
-edin burgh</w>
-l ack</w>
-fli es</w>
-g ate
-thr ones</w>
-q b</w>
-the real
-e leg
-pp in</w>
-c les</w>
-jam ie</w>
-tn am</w>
-cryp to
-ou l</w>
-p ages</w>
-a se
-roo ts</w>
-stu pid</w>
-a did
-boo t</w>
-prote in</w>
-s ap
-si um</w>
-su s
-end or
-fun ction</w>
-don t
-en na</w>
-ch y</w>
-squ e</w>
-wor ker</w>
-m tv
-e a</w>
-k an</w>
-ðŁĴ ļ
-mu s</w>
-professi on
-t to</w>
-oper ations</w>
-al lo
-c tor</w>
-inv ite</w>
-sc and
-ou th</w>
-z im
-lin ks</w>
-cli ents</w>
-sam sung</w>
-discu sses</w>
-n ell</w>
-ul tra</w>
-some where</w>
-ste wart</w>
-ine t</w>
-de z</w>
-b out</w>
-fac tor</w>
-ti an</w>
-tr ans</w>
-jere my</w>
-d b</w>
-ðŁĩ ¬
-or n</w>
-develop ing</w>
-spo l</w>
-coo per</w>
-ma u
-rememb ering</w>
-tre k</w>
-famil y
-sen iors</w>
-fo ster</w>
-att ended</w>
-w ing
-trans form
-ele mentary</w>
-hor iz
-li sting</w>
-malay sia</w>
-it ch</w>
-warri or</w>
-philipp ines</w>
-russ ell</w>
-m end
-initi ative</w>
-cre ep
-to ps</w>
-br iti
-a ur
-shar p</w>
-adverti sing</w>
-ug ly</w>
-achi ev
-materi als</w>
-bu g</w>
-dev ice</w>
-bon us</w>
-fac ility</w>
-col e</w>
-nh l</w>
-y as
-plann ed</w>
-pol e</w>
-excell ence</w>
-tr ick</w>
-con fl
-r p</w>
-achi eve</w>
-lo an</w>
-swa g</w>
-jess ica</w>
-ho we
-p our</w>
-sc u
-z oo
-r ated</w>
-dre sses</w>
-re bel
-mex ican</w>
-co ordin
-me ss</w>
-atlan tic</w>
-t l</w>
-osc ar</w>
-wal ks</w>
-phar mac
-investig ation</w>
-... #</w>
-cc i</w>
-eas ily</w>
-monday motivation</w>
-y ment</w>
-au ti
-for ced</w>
-ar med</w>
-colle agues</w>
-pap ers</w>
-pro per</w>
-sha ke
-bu c
-le an</w>
-exhi bit</w>
-e vement</w>
-co tt
-bi z
-sp er
-k ent</w>
-sw an
-/ @</w>
-girl friend</w>
-haw k</w>
-âĺ Ģï¸ı</w>
-mon o
-ðŁĴ Ľ
-stat ue</w>
-ðŁĺ ³</w>
-ra s</w>
-te eth</w>
-preci ous</w>
-t ile</w>
-p am
-swi ft</w>
-v ali
-no se</w>
-dr unk</w>
-experi ences</w>
-come back</w>
-gen ius</w>
-wor se</w>
-sh ef
-ra d</w>
-ed it
-hon our</w>
-au spol</w>
-lar ry</w>
-h ire</w>
-gor don</w>
-achi evement</w>
-.... ....
-su icide</w>
-alter native</w>
-su p</w>
-sur roun
-sha ke</w>
-ke ith</w>
-pe pper</w>
-tur k
-crimin al</w>
-be ck
-su m</w>
-w alls</w>
-cn n</w>
-an tic
-of fe
-col li
-win es</w>
-high light</w>
-hawa ii</w>
-emb ar
-l fc</w>
-ðŁĩ ®
-m v</w>
-> >
-at mo
-wor d
-car l
-shout out</w>
-bre wing</w>
-ì Ŀ
-do f
-s ic
-hot test</w>
-col on
-hh h</w>
-shu t</w>
-low ing</w>
-volu me</w>
-apart ment</w>
-agre ement</w>
-de stro
-we e</w>
-religi ous</w>
-iow a</w>
-ro d</w>
-land ing</w>
-re present
-ðŁĵ· :</w>
-la s
-usu ally</w>
-h l
-c ac
-sal v
-al ong
-laugh ing</w>
-be ans</w>
-remin ds</w>
-pha se</w>
-some body</w>
-ma sk</w>
-ran ked</w>
-dest roy
-sc i</w>
-âĢ¼ ï¸ı</w>
-gab ri
-le o</w>
-ro a
-fa iled</w>
-si l</w>
-refuge es</w>
-re vi
-r ing
-ber ries</w>
-coo kies</w>
-y y</w>
-conserv ation</w>
-sh ab
-human s</w>
-de termin
-a in
-ni all</w>
-as su
-mb a</w>
-fro m
-extre me</w>
-vic es</w>
-commer ce</w>
-ght ful</w>
-or dered</w>
-suppor ts</w>
-re cap</w>
-v or
-dro pping</w>
-correc t</w>
-pay ing</w>
-mean ing</w>
-n j
-qui z</w>
-" #</w>
-busine ss
-ðŁĩ® ðŁĩ
-indi gen
-du st</w>
-box es</w>
-bl ind</w>
-x xx</w>
-zz y</w>
-ðŁĩ¬ ðŁĩ
-ss els</w>
-s ant
-dd le</w>
-hilari ous</w>
-desig n
-wonder ing</w>
-vehic les</w>
-k re
-ju d
-rece ption</w>
-par ker</w>
-Ã Ń
-pri vi
-hy dro
-sof tball</w>
-pol lu
-lo cked</w>
-ba h
-e ar</w>
-scri pt</w>
-di vi
-br ace
-geor ge
-the ast</w>
-bel o
-j al
-tion ary</w>
-dent al</w>
-roc ket</w>
-pur ch
-sh ak
-manufac turing</w>
-e z</w>
-it is</w>
-con cep
-tb all
-ch s</w>
-direc ted</w>
-pra yers</w>
-oo k</w>
-phil os
-vari ety</w>
-che ss</w>
-ser ver</w>
-g and
-bal ti
-ðŁĵ ¸
-sel y</w>
-cru z</w>
-spectac ular</w>
-bur ning</w>
-re present</w>
-i z</w>
-t one</w>
-mer ce
-h ell
-bed room</w>
-estab li
-bo l</w>
-com mon
-ãĥ »
-ab or
-kit ty</w>
-hei ghts</w>
-re pair</w>
-willi am
-qu ake</w>
-alab ama</w>
-popul ation</w>
-re v
-re tt</w>
-i sts</w>
-n ite</w>
-le m</w>
-a ha</w>
-clevel and</w>
-r m</w>
-po ver
-ob se
-mon tre
-man ia</w>
-Â ®</w>
-con ne
-car ni
-sh ah</w>
-f y
-u a</w>
-sc or
-strugg le</w>
-bo b
-' '</w>
-appro pri
-deci de</w>
-ff ed</w>
-ca ster</w>
-s ort</w>
-hun gry</w>
-dra g
-ا Ù
-gr ounds</w>
-d w
-sli ghtly</w>
-car din
-dead line</w>
-bron ze</w>
-web in
-bar ry</w>
-sil ence</w>
-e uro</w>
-op tion</w>
-ear n</w>
-ðŁĴ ĸ
-howe ver</w>
-na ren
-na ils</w>
-bath room</w>
-v ine
-ph d</w>
-min ing</w>
-gar age</w>
-( )</w>
-shou lder</w>
-defe at</w>
-di r</w>
-o v</w>
-liber ty</w>
-ple as
-x on</w>
-com pre
-a v</w>
-j in</w>
-ab les</w>
-sil ent</w>
-fam ili
-vis its</w>
-di pl
-ha bit
-milli ons</w>
-regar ding</w>
-innov ative</w>
-sen ator</w>
-r ts</w>
-v on</w>
-k l
-wh il
-requi red</w>
-âĿ Ħ
-lu v</w>
-presi dential</w>
-po cket</w>
-hun dre
-sho wn</w>
-fro zen</w>
-to ward</w>
-fa st
-confi dence</w>
-r ough</w>
-indivi dual</w>
-qu et</w>
-ðŁı ½
-dom e
-fi fa</w>
-engine er</w>
-z en
-re mix</w>
-ðŁĺ ĥ</w>
-pl ant
-min or</w>
-robin son</w>
-as y
-pul led</w>
-cer tain
-potat o</w>
-( :</w>
-pre s</w>
-oc ca
-w it</w>
-it em</w>
-si e
-d ating</w>
-thom pson</w>
-own ed</w>
-an u
-vi e</w>
-te dly</w>
-good night</w>
-ex cept</w>
-ðŁĮ Ł</w>
-ira q</w>
-ki e
-ren ces</w>
-li p</w>
-simil ar</w>
-sau di</w>
-vi g
-arth ur</w>
-pic ks</w>
-mil an</w>
-hon da</w>
-ma xi
-o g</w>
-ste st</w>
-ar ch</w>
-analy tics</w>
-ba sti
-pear l</w>
-ter ry</w>
-hor se
-ast ro
-ac ce
-laun ching</w>
-inter national
-s no
-ta sty</w>
-den ver</w>
-ir l</w>
-pe te</w>
-tor n
-advant age</w>
-var sity</w>
-" "</w>
-sol e</w>
-g c
-lan g</w>
-demon str
-ol ds</w>
-un ity</w>
-ne ts</w>
-insp ire</w>
-cre te</w>
-nash ville</w>
-nel son</w>
-e ter
-wal k
-hy un</w>
-m ack
-tre as
-see king</w>
-ra ge</w>
-bru sh</w>
-ab and
-whil st</w>
-co con
-h ong</w>
-shel ter</w>
-i p</w>
-possi bly</w>
-so o</w>
-it ed
-â Ħ
-rac es</w>
-war ming</w>
-qu in
-tele vision</w>
-mat ches</w>
-ra pi
-ment al
-pal m</w>
-jenni fer</w>
-rol ls</w>
-indi ana</w>
-b ars</w>
-cat ching</w>
-resc u
-candid ates</w>
-fa re
-âł Ģ</w>
-se o</w>
-vie tnam</w>
-alph a</w>
-michel le</w>
-visi ble</w>
-re gre
-wn ed</w>
-app le
-li p
-f fe</w>
-li z
-york shire</w>
-ha il</w>
-se asons</w>
-be gan</w>
-m d
-k c</w>
-la p</w>
-fascin ating</w>
-hel p
-ur y
-u ms</w>
-nu ts</w>
-se m
-along side</w>
-bri dge
-ori al</w>
-o ve
-world cup</w>
-briti sh
-comfor table</w>
-i ve</w>
-hot els</w>
-fair s</w>
-hor ri
-so x</w>
-d ining</w>
-stre am
-bar ri
-ss y</w>
-w im
-ter ms</w>
-v u
-pe re
-l ens</w>
-wal ked</w>
-r or
-l ars</w>
-shi eld</w>
-dou bt</w>
-pro to
-cro ssing</w>
-me ant</w>
-medi um</w>
-ad ding</w>
-e b</w>
-che ap</w>
-fun c
-pap er
-bran ds</w>
-ry an
-feed back</w>
-col lins</w>
-un known</w>
-tro pical</w>
-sand wich</w>
-fal len</w>
-for mu
-selec t</w>
-lo ads</w>
-answ ers</w>
-or i</w>
-mag a</w>
-d or</w>
-du o</w>
-ali e</w>
-dru m</w>
-ur i</w>
-de er</w>
-sou l
-sh ut
-âĺ º</w>
-sto len</w>
-don ated</w>
-bu zz</w>
-patri ots</w>
-ha l</w>
-na sty</w>
-nomin ated</w>
-mon te
-ki a</w>
-th ri
-ing u
-te sts</w>
-pe tro
-ðŁij ij</w>
-ho sts</w>
-ne st</w>
-to pic</w>
-pat ch</w>
-m my</w>
-hu gh
-ab ilities</w>
-ma the
-s miles</w>
-g b
-ag enda</w>
-insi ghts</w>
-chi p</w>
-ph an
-fail ure</w>
-dg ers</w>
-ha i
-signific ant</w>
-sho ck</w>
-ru ral</w>
-gl am
-figu res</w>
-pot us</w>
-o ta</w>
-mini stry</w>
-appe ars</w>
-fe ar
-r h
-americ an
-h att
-son y</w>
-fi res</w>
-e di
-n ou
-e qui
-wh en
-univers al</w>
-mad ness</w>
-i x</w>
-sculp ture</w>
-b ach</w>
-t to
-swe den</w>
-et a</w>
-en to</w>
-develop ed</w>
-month ly</w>
-ma ps</w>
-ra h</w>
-le d
-del ta</w>
-sa ints</w>
-is lam</w>
-ben ch</w>
-fif th</w>
-v ard</w>
-so cks</w>
-wel coming</w>
-j e</w>
-tur ner</w>
-v b</w>
-ad i</w>
-nor way</w>
-ad y</w>
-hurric ane</w>
-por sche</w>
-tra dition</w>
-ex am</w>
-newsp aper</w>
-lu ci
-a ver
-ide al</w>
-d na</w>
-madi son</w>
-ðŁ §
-wit ness</w>
-ac ou
-insi ght</w>
-si mon
-robo t</w>
-sna ke</w>
-n bc</w>
-ac o</w>
-ro ss
-sh ment</w>
-religi on</w>
-ch ann
-in su
-camp bell</w>
-inst alled</w>
-we ather
-hor ses</w>
-ol i</w>
-rober t
-k az
-ðŁı Ģ</w>
-veter an</w>
-th read</w>
-quar ter
-ea sier</w>
-cap ture</w>
-hi pho
-law rence</w>
-roman tic</w>
-pas sion
-cl ay</w>
-ox ford</w>
-th ai</w>
-stu dying</w>
-fi a</w>
-elec ted</w>
-most ly</w>
-c b</w>
-tu mb
-âĢįâĻ Ĥ
-x l</w>
-sh an</w>
-fa ster</w>
-ev ans</w>
-sli de</w>
-sh ri
-see k</w>
-mi es</w>
-chemi stry</w>
-pump kin</w>
-tu m</w>
-, ,</w>
-ro om
-fi red</w>
-li ps</w>
-pres ence</w>
-af f
-brew ery</w>
-arri ve</w>
-sw ag
-photo graph</w>
-pen gu
-chi ps</w>
-at tor
-val ues</w>
-accur ate</w>
-con temporary</w>
-princi pal</w>
-cannab is</w>
-ari o</w>
-any where</w>
-gi a</w>
-democr ats</w>
-buil dings</w>
-li ved</w>
-ap s</w>
-neg ative</w>
-m are</w>
-bal lo
-li on
-diam on
-loo k
-re form</w>
-tom my</w>
-il la
-tre ats</w>
-hundre ds</w>
-port land</w>
-wor thy</w>
-ex cep
-ar ia</w>
-ido l</w>
-be er
-cd n
-y u</w>
-aw k
-ðŁĩ ¨
-c ells</w>
-Ã ³
-ident ity</w>
-dra wn</w>
-de vil
-f inger</w>
-th am</w>
-ðŁij Ĭ
-ear ned</w>
-fin tech</w>
-dol ph
-twee ting</w>
-evolu tion</w>
-ðŁĵ į</w>
-est im
-m vp</w>
-n one</w>
-ðŁĩºðŁĩ ¸
-toyo ta</w>
-au x</w>
-mar in
-b old</w>
-l bs</w>
-ste ak</w>
-mur phy</w>
-it able</w>
-lou is
-sol ve</w>
-pi a</w>
-sk ir
-ill ino
-webin ar</w>
-ban ana</w>
-lo v
-th on</w>
-vo ters</w>
-afford able</w>
-defe ated</w>
-lm fa
-air lines</w>
-super b</w>
-any way</w>
-deb t</w>
-bo red</w>
-ver si
-me tal
-responsi ble</w>
-m k</w>
-s se</w>
-f ay
-cau sed</w>
-f p</w>
-recomm end</w>
-pla za</w>
-spor ting</w>
-alli ance</w>
-au stri
-n n
-t ours</w>
-surpri sed</w>
-arti f
-th under</w>
-sur ve
-wor e</w>
-bri ef</w>
-necess ary</w>
-z ie</w>
-ash ley</w>
-dra ke</w>
-r t
-kni fe</w>
-im mun
-char ges</w>
-a the
-bri de</w>
-rep ly</w>
-g av
-broad cast</w>
-pu er
-brace let</w>
-cap acity</w>
-harve st</w>
-id k</w>
-perfor man
-d ding</w>
-il ers</w>
-par a</w>
-jam a
-pro vince</w>
-ch in</w>
-id ers</w>
-har i</w>
-te aser</w>
-ch en</w>
-re stor
-r at</w>
-fl at
-col om
-ðŁĴ ŀ</w>
-ðŁĩ¨ ðŁĩ
-smoo th</w>
-r t</w>
-p itch
-stay ing</w>
-isra eli</w>
-t cot</w>
-per spective</w>
-do ck</w>
-open er</w>
-lo vel
-x o</w>
-class room</w>
-l ington</w>
-go al
-kenne dy</w>
-sh am</w>
-sp aces</w>
-mitch ell</w>
-home coming</w>
-uk i</w>
-claim ed</w>
-recru it
-ing o</w>
-mu fc</w>
-mon it
-g roo
-resi dent</w>
-per cent</w>
-per man
-otta wa</w>
-int ment</w>
-an xi
-stand ards</w>
-wor ship</w>
-sche me</w>
-f x</w>
-pot ter</w>
-bi an</w>
-athle tic</w>
-af gh
-s se
-sat ell
-par ties</w>
-âĿ¤ âĿ¤
-infra structure</w>
-rela x</w>
-mo du
-wor n</w>
-smo king</w>
-y ach
-practic es</w>
-wc w</w>
-am b
-dome stic</w>
-tay lor
-k entu
-provi ded</w>
-mo di
-ve g
-" ...</w>
-ob serv
-ðŁĺ ©
-be ard</w>
-m our
-an gry</w>
-ðŁĺ ±</w>
-startu ps</w>
-woo den</w>
-di ve</w>
-na il</w>
-anti que</w>
-ro ses</w>
-torn ado</w>
-m at</w>
-^ ^</w>
-su spect</w>
-far m
-de vices</w>
-me ga</w>
-tu l
-scholar ship</w>
-ge e</w>
-disa ster</w>
-arri val</w>
-po in
-mar c</w>
-kati e</w>
-bb ed</w>
-fal se</w>
-deser ves</w>
-ric hard
-ju ana</w>
-fre y</w>
-tion ed</w>
-hy bri
-r w
-sar ah
-ach i</w>
-c ure</w>
-o le
-mor ris</w>
-ch ic</w>
-broad way</w>
-la bel</w>
-pa k</w>
-pover ty</w>
-gol f
-e red</w>
-f u</w>
-er ies</w>
-be es</w>
-alo gue</w>
-st el
-wire less</w>
-je wish</w>
-ti de</w>
-blo cked</w>
-life time</w>
-b har
-sp lit</w>
-am ster
-th i</w>
-jo shu
-br unch</w>
-ha ps</w>
-s for
-oo ps</w>
-ka poor</w>
-hi king</w>
-suppo sed</w>
-ro of
-re as
-tra in
-ti ght</w>
-tru mp
-bas ically</w>
-r r</w>
-ea red</w>
-see ds</w>
-entr ance</w>
-c p</w>
-wi e</w>
-son ic</w>
-vic tim</w>
-he re
-e h</w>
-ear rings</w>
-sal mon</w>
-arc tic</w>
-an ne
-dou gla
-corru ption</w>
-hann ah</w>
-ha sn</w>
-vo ices</w>
-con ce
-att a</w>
-fle et</w>
-clin ical</w>
-democr atic</w>
-ton y
-st ood</w>
-le f
-twit ch</w>
-a il</w>
-honest ly</w>
-incre ased</w>
-dro me</w>
-don na</w>
-accep ted</w>
-visit ors</w>
-ap ar
-ad or</w>
-p ar</w>
-jer ry</w>
-ra i
-brand on</w>
-ab u
-!! !!!!</w>
-me me</w>
-in gh
-glori ous</w>
-b hu
-pu mp</w>
-j ol
-li ke
-fi sher</w>
-ma z
-ag an</w>
-destin ation</w>
-play list</w>
-le tters</w>
-gen u
-br ace</w>
-celebr ated</w>
-bann er</w>
-r he
-dra gon
-ðŁĺ ħ</w>
-sig nature</w>
-gre y
-âľ Ķï¸ı</w>
-al ice</w>
-be red</w>
-ph er
-ber n
-ca th
-ga thering</w>
-sc oring</w>
-influ ence</w>
-sm iling</w>
-de pt</w>
-lo cal
-a x</w>
-ac u
-reti rement</w>
-hon or
-her self</w>
-chem ical</w>
-asse ss
-y all</w>
-fre qu
-appreci ation</w>
-ac a</w>
-cho ir</w>
-cu z</w>
-so il</w>
-c il
-repor ting</w>
-u h</w>
-enterpri se</w>
-gr at
-jaco b</w>
-ru m
-fe e</w>
-j ak
-sp in</w>
-bi kes</w>
-phi a</w>
-ste re
-p is
-bloo d
-t att
-ra ft</w>
-war ren</w>
-sh eri
-back stage</w>
-mar sh
-hash tag</w>
-ther ine</w>
-re in
-game day</w>
-guar an
-reci pes</w>
-min ds</w>
-stron ger</w>
-issu ed</w>
-bic y
-n ak
-ment ed</w>
-sc ary</w>
-u x
-pre vious</w>
-tt le</w>
-th ats</w>
-ac tors</w>
-u ma</w>
-tin a</w>
-bun ny</w>
-promo tion</w>
-u ss</w>
-oli ver</w>
-montre al</w>
-what s
-appreci ated</w>
-la kes</w>
-excu se</w>
-kno wing</w>
-pri zes</w>
-musc le</w>
-shad es</w>
-sco t</w>
-ing redi
-electr onic</w>
-ju an</w>
-comb at</w>
-s ri</w>
-e h
-turk ish</w>
-l om
-stri kes</w>
-pri son
-re e
-po pe</w>
-vi d</w>
-ol dest</w>
-dol l</w>
-sw iss</w>
-certi fied</w>
-cli p</w>
-re turning</w>
-lat or</w>
-le igh</w>
-tt es</w>
-wat son</w>
-heal ing</w>
-el im
-per haps</w>
-ha ss
-k au
-d der</w>
-mou se</w>
-new castle</w>
-indigen ous</w>
-wel comes</w>
-co le
-tau ght</w>
-no ise</w>
-appe ar</w>
-jo e
-can on</w>
-wedne sday
-u tah</w>
-c tive</w>
-dri ven</w>
-i v</w>
-c ell
-stri p</w>
-ac c</w>
-focu sed</w>
-ar rest</w>
-sto cks</w>
-wo o</w>
-â Ĺ
-notic ed</w>
-shad o
-di spla
-ter ror</w>
-bor ne</w>
-secon d
-que ens</w>
-wo ke</w>
-ja il</w>
-no tt
-cam bridge</w>
-har t
-se af
-fa x</w>
-ac cept</w>
-âĺ ħ
-goo ds</w>
-k at</w>
-t win
-h s
-thou sand</w>
-s ins</w>
-su ite</w>
-amp ton</w>
-ar n
-rele v
-ric har
-hoo ps</w>
-n bc
-class ic
-p ab
-soldi er</w>
-de plo
-le ans</w>
-install ation</w>
-cla sh</w>
-le ban
-ee e</w>
-ti re</w>
-belo ved</w>
-fu sion</w>
-travel ing</w>
-ne i
-coo kie</w>
-glo be</w>
-phys ics</w>
-s q
-co l</w>
-wol ves</w>
-d l</w>
-ex it</w>
-" -</w>
-foo tball
-le af
-ster ling</w>
-hi de</w>
-minne so
-fresh man</w>
-natu re
-indi e</w>
-supp lies</w>
-bri s
-iri sh
-ink tober</w>
-doo dle</w>
-ic op
-mess ages</w>
-adul ts</w>
-recor ded</w>
-fix ed</w>
-ar do</w>
-offe red</w>
-under ground</w>
-dr one</w>
-p ine
-ma inten
-and re</w>
-ham mer</w>
-s x
-r ound
-hi ke</w>
-bra d</w>
-ro me
-fu ll
-on ey</w>
-ro ws</w>
-colum bia</w>
-archi ves</w>
-appro ved</w>
-bat ch</w>
-illino is</w>
-recogn ition</w>
-shou ldn</w>
-fo g</w>
-nca a</w>
-ke vin
-human ity</w>
-al though</w>
-pow ers</w>
-p ou
-s ar</w>
-pe st</w>
-alco hol</w>
-con sci
-phil adel
-en o
-t m
-ok la
-cate gory</w>
-particip ate</w>
-accu sed</w>
-bri ef
-po em</w>
-clu bs</w>
-consul t
-ja b</w>
-big data</w>
-amster dam</w>
-ac ing</w>
-certi fic
-n u</w>
-d at</w>
-impro ved</w>
-and y
-campa ig
-pale stin
-p ace</w>
-mo bi
-feel ings</w>
-wol f
-bra in
-pro pos
-inter active</w>
-prin ce
-inde x</w>
-c is
-cha e
-peace ful</w>
-co vering</w>
-ac o
-cour ses</w>
-mon key</w>
-re place</w>
-b l</w>
-bloo dy</w>
-tal es</w>
-brigh ton</w>
-neighbor hood</w>
-g ates</w>
-spiritu al</w>
-af raid</w>
-bre ast</w>
-b ones</w>
-ðŁij ī
-vide o
-w au
-tou ch
-inju ries</w>
-car l</w>
-ri x</w>
-une x
-âĢ ¢
-fre d
-consi dered</w>
-thu si
-an ch
-on y
-u sa
-graph ics</w>
-ac re</w>
-ðŁĺ ©</w>
-com memor
-com mod
-go ti
-guar dian</w>
-star bucks</w>
-pre vention</w>
-haha haha</w>
-admini stration</w>
-portu gal</w>
-fac ulty</w>
-bet a</w>
-ul a</w>
-al bert</w>
-bre ath
-er i</w>
-le tting</w>
-tr ic
-ment ation</w>
-incredi bly</w>
-ten nes
-v d</w>
-ðŁĻ Ī</w>
-ed die</w>
-br ick</w>
-gr ill</w>
-bt w</w>
-wat ches</w>
-resear chers</w>
-t ney</w>
-ni e
-p as</w>
-a ster</w>
-vi br
-poke mon</w>
-ch rome</w>
-go at</w>
-pitt s
-il ly</w>
-festi ve</w>
-y d</w>
-can al</w>
-ðŁ Ĩ
-fi es</w>
-car los</w>
-re que
-partic i
-tra ins</w>
-sam ple</w>
-temper ature</w>
-sym ph
-pic king</w>
-in door</w>
-z ers</w>
-playo ffs</w>
-____ ____
-ap es</w>
-ly rics</w>
-islam ic</w>
-performan ces</w>
-d ick</w>
-spar k
-se as</w>
-hom a</w>
-gr ound
-disc i
-employe e</w>
-com mu
-alas ka</w>
-al an
-fe ast</w>
-dg ing</w>
-ban king</w>
-manu el</w>
-slow ly</w>
-tru cks</w>
-mc car
-oo o</w>
-sc rat
-orche stra</w>
-indivi du
-m x</w>
-bre ath</w>
-stair s</w>
-equ ality</w>
-bla ke</w>
-loc ations</w>
-cocon ut</w>
-balti more</w>
-aa a</w>
-l c
-ðŁı Ĩ
-har vey</w>
-resi st</w>
-immigr ation</w>
-adid as</w>
-fil i
-re f</w>
-lg bt</w>
-mo s</w>
-pp i</w>
-ken ny</w>
-terr or
-ban e</w>
-apol is</w>
-s g
-social media</w>
-ka i</w>
-hon est</w>
-as sas
-bol lywood</w>
-âĢįâĻ Ģï¸ı</w>
-ferr ari</w>
-hor n</w>
-cryp to</w>
-bo om
-mainten ance</w>
-i di
-s man</w>
-w l</w>
-ext ended</w>
-in sul
-ve s
-go sp
-tr i</w>
-pi g</w>
-tar ge
-cel er
-st ati
-sm h</w>
-ri dic
-appe al</w>
-? )</w>
-con clu
-cos me
-she ep</w>
-christop her</w>
-en thusi
-po lish</w>
-me ts</w>
-oun ded</w>
-sustain ability</w>
-creati vity</w>
-con crete</w>
-ra i</w>
-ali en</w>
-ble ss
-te es</w>
-clu b
-ro t</w>
-bo s</w>
-ex ist</w>
-perfe ction</w>
-lu ck
-rock y</w>
-expen sive</w>
-mean while</w>
-happy birthday
-pre t
-thr iller</w>
-ca ve</w>
-playo ff</w>
-som er
-l u</w>
-le x</w>
-def ence</w>
-am writing</w>
-home less</w>
-pro phe
-ch et</w>
-past or</w>
-ðŁ¤ £
-land er</w>
-ww w</w>
-Ģ ï¸ı
-tic a</w>
-! #</w>
-o tic</w>
-rad ar</w>
-po sters</w>
-pow der</w>
-po li
-ha un
-tra p</w>
-bl in
-assau lt</w>
-shor ts</w>
-re y
-sh y</w>
-squ ir
-rac ist</w>
-gar lic</w>
-fu r</w>
-remo te</w>
-sm ell</w>
-impre ssed</w>
-fing ers</w>
-âł Ģ
-din o
-le ment</w>
-s nu
-promo ting</w>
-str ing</w>
-produc tive</w>
-b age</w>
-ma son</w>
-ra z
-direc tly</w>
-j k</w>
-ev al</w>
-ðŁij Ĭ</w>
-doc tors</w>
-co w</w>
-ri der</w>
-st v</w>
-re move</w>
-w u
-na than</w>
-ro d
-n r</w>
-= ></w>
-affe cted</w>
-inve st</w>
-mp tion</w>
-g inger</w>
-o d</w>
-agricul ture</w>
-s que
-mu g</w>
-coun ting</w>
-ke e
-mag nific
-coo k
-ani stan</w>
-roo t</w>
-plac ed</w>
-sym po
-gh ana</w>
-un d</w>
-che er
-thro wing</w>
-secre ts</w>
-f illing</w>
-opti mi
-butter fly</w>
-bu bb
-ðŁĺ ī
-terri ble</w>
-d g</w>
-sil k</w>
-obse ssed</w>
-lo u</w>
-ai de</w>
-sal ute</w>
-mon u
-philadel phia</w>
-scienti fic</w>
-i st
-u ae</w>
-dess ert</w>
-bott les</w>
-can yon</w>
-ðŁĺ Ī</w>
-car ib
-o ther
-w ich
-re source</w>
-guil ty</w>
-un d
-le on</w>
-e ss</w>
-kan e</w>
-el e</w>
-tra iner</w>
-he im</w>
-an te</w>
-man age</w>
-roo kie</w>
-tre ated</w>
-po ses</w>
-rs vp</w>
-cau ses</w>
-aw ak
-je well
-le tt</w>
-on ics</w>
-tit les</w>
-cardi ff</w>
-g aga</w>
-bu mp
-use ful</w>
-? !
-loo se</w>
-bb ing</w>
-: :</w>
-argent ina</w>
-de bu
-cy cl
-wh el
-dis gu
-j el
-k ills</w>
-bio logy</w>
-ex ter
-tra sh</w>
-bo dies</w>
-tr am
-circu it</w>
-expe ct
-la ds</w>
-w ells</w>
-sho t
-ge e
-naren dr
-fa stest</w>
-b ent
-b ills</w>
-mar shall</w>
-h ats</w>
-intro duce</w>
-citi zen</w>
-im possible</w>
-gi b
-az z
-net working</w>
-r ant</w>
-thin k
-in dy
-st ops</w>
-f theday</w>
-bri an
-* *
-amo di</w>
-dom e</w>
-coura ge</w>
-pac king</w>
-af fairs</w>
-g n</w>
-si zed</w>
-ent ary</w>
-pol and</w>
-swit zer
-afgh anistan</w>
-w u</w>
-ten der</w>
-subscri be</w>
-mo sco
-att end
-republic an</w>
-hon ey
-âĢ ĭ</w>
-si mul
-we ster
-foo die</w>
-or o
-midd le
-ab t</w>
-co pies</w>
-ma je
-narendr amodi</w>
-ty pical</w>
-inspir ational</w>
-vit am
-wis con
-cu bs</w>
-tiv ity</w>
-h ali
-e ars</w>
-k ay</w>
-d are</w>
-mari juana</w>
-cu rious</w>
-an ia</w>
-tom ato</w>
-re mind</w>
-ðŁĩ ·</w>
-sc ared</w>
-cou p
-po et</w>
-land ed</w>
-ri d</w>
-wra pped</w>
-mor ri
-climb ing</w>
-e ws</w>
-fe eding</w>
-con tra
-tho logy</w>
-gri d</w>
-ti vely</w>
-read er</w>
-la ser</w>
-di ving</w>
-di g</w>
-lat in</w>
-ti ed</w>
-shake spe
-o ci
-ad m
-show ers</w>
-chu ck</w>
-mar cus</w>
-oo s</w>
-kne e</w>
-o live</w>
-ow l</w>
-dy lan</w>
-an no
-g ym
-deci sions</w>
-well ness</w>
-arri ves</w>
-sati s
-chri s
-thur s</w>
-ðŁ¤ £</w>
-inter views</w>
-thank you</w>
-switzer land</w>
-over night</w>
-journ alist</w>
-ser ves</w>
-vol can
-.... ...</w>
-plo t</w>
-nic ol
-car rying</w>
-mag ne
-tre asure</w>
-ex p
-be ver
-ðŁĺ ¢</w>
-mar ty
-mo le
-don ations</w>
-recogni zed</w>
-b h
-du s</w>
-sh ann
-al do</w>
-success fully</w>
-ent e</w>
-ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ
-cab inet</w>
-cu is
-tit led</w>
-d as
-so l</w>
-strate gies</w>
-deli vering</w>
-ad ds</w>
-ani an</w>
-ne ther
-ðŁĴ ĥ
-con tain
-su its</w>
-pa irs</w>
-to dd</w>
-rel la</w>
-ro pe</w>
-ci o</w>
-cro p</w>
-paint ings</w>
-su z
-re jec
-bu st</w>
-d h</w>
-fra ud</w>
-m h
-contro l
-je al
-destroy ed</w>
-al lows</w>
-wo ol
-minneso ta</w>
-om en
-j u</w>
-sympo sium</w>
-d af
-lim it</w>
-accoun ts</w>
-load ing</w>
-inter n
-re solution</w>
-hol land</w>
-qu al
-meet ings</w>
-gra ve</w>
-cam ping</w>
-v am
-re nov
-liber al</w>
-am ber</w>
-gre e
-hu mb
-fe ver</w>
-el ing</w>
-broo ks</w>
-à ²
-be th
-ad ed</w>
-al t
-ro e</w>
-perform ed</w>
-jo sh
-frank lin</w>
-nic ole</w>
-de ss</w>
-bb s</w>
-m g
-net works</w>
-min im
-al t</w>
-weap ons</w>
-gu y
-jas on
-g ha
-harb our</w>
-at on</w>
-pra ise</w>
-kentu cky</w>
-bel fast</w>
-st icks</w>
-blo ss
-ho pes</w>
-an thro
-famili ar</w>
-wa it
-ch ile</w>
-depre ssion</w>
-la x</w>
-je ts</w>
-le ice
-recei ves</w>
-si er
-an k</w>
-de x
-inde ed</w>
-fle xi
-fab ric</w>
-lam b</w>
-hel icop
-am anda</w>
-âĢĶ âĢĶ
-compe te</w>
-sn ack</w>
-techno logies</w>
-sy rian</w>
-mom s</w>
-mu ham
-cho sen</w>
-an at
-dev on</w>
-shar ks</w>
-re t</w>
-fundra iser</w>
-selfi es</w>
-st ations</w>
-communic ations</w>
-tennes see</w>
-tu tor
-ro t
-valu able</w>
-dynam ic</w>
-nur se</w>
-i ed</w>
-earth quake</w>
-deser ved</w>
-a ve
-sar a</w>
-stre tch</w>
-dougla s</w>
-ne pal</w>
-Ã §
-ob viously</w>
-d ame</w>
-ra pe</w>
-any body</w>
-k w
-pat rol</w>
-hol ders</w>
-h anna</w>
-info graphic</w>
-ec o</w>
-be ating</w>
-stan ley</w>
-bo ats</w>
-ri bb
-e z
-wit ch</w>
-inv a
-ac id</w>
-boar ding</w>
-- @</w>
-gi l</w>
-da ve
-care ers</w>
-opp os
-l loy
-in ter</w>
-do pe</w>
-re su
-j agu
-sh ade</w>
-in dy</w>
-on ist</w>
-rel ations</w>
-ag en
-ab le
-inci dent</w>
-me ter</w>
-shar ma</w>
-id r</w>
-pro ve</w>
-immedi ately</w>
-tro ops</w>
-am an</w>
-g low</w>
-gaz a</w>
-blo cks</w>
-person al
-chron ic
-all er
-si d
-sh r
-whats app</w>
-lu cy</w>
-ar chae
-ho u</w>
-journ alism</w>
-our selves</w>
-go t
-the med</w>
-shap ed</w>
-we ak</w>
-cas ual</w>
-leng th</w>
-sla m</w>
-ab bey</w>
-e v</w>
-coun ter
-est a</w>
-reci pi
-cha pel</w>
-expan sion</w>
-sel f
-suff ering</w>
-sp ice</w>
-n z
-sp art
-desp er
-boo king</w>
-quart ers</w>
-y on
-ðŁĴ Ĺ
-p k
-continu ed</w>
-- #</w>
-man hatt
-tal ked</w>
-sh en
-com bo</w>
-hybri d</w>
-je ans</w>
-liqu id</w>
-se al</w>
-re tweets</w>
-ac celer
-collec tive</w>
-t as</w>
-: ))</w>
-profession als</w>
-ra w
-o tt
-su san</w>
-ir ing</w>
-okla homa</w>
-re ven
-survi val</w>
-cre ator</w>
-tran sit</w>
-st ac
-sur f
-i k</w>
-ed iting</w>
-ch illing</w>
-bai ley</w>
-ste al</w>
-ra ble</w>
-pa rent</w>
-hun ger</w>
-sn app
-collec t</w>
-philos oph
-dedic ation</w>
-c f
-c m
-le ep</w>
-repe at</w>
-re ha
-un fortun
-a er
-a ero
-abstr act</w>
-mon itor</w>
-ag ents</w>
-bu l</w>
-sci ence
-harb or</w>
-drag ons</w>
-floo ding</w>
-ac compli
-d ash</w>
-juli a</w>
-the red</w>
-tues day
-cy ber</w>
-b low</w>
-ta ined</w>
-le m
-refe rence</w>
-pp o</w>
-ne goti
-char le
-con nor</w>
-au lt</w>
-access ories</w>
-commissi oner</w>
-rain y</w>
-re ar</w>
-advis ory</w>
-luc as</w>
-ma id</w>
-co al
-k av
-pol o</w>
-ðŁı ¾
-tran sport
-mar gare
-straw berry</w>
-bur ns</w>
-gre ens</w>
-ne v
-partici pants</w>
-col in</w>
-belgi um</w>
-col our
-in form
-d ell</w>
-br on</w>
-cal y
-kick off</w>
-strate gic</w>
-re union</w>
-hon ors</w>
-li b
-egy p
-âŃIJ ï¸ı</w>
-hy po
-si zes</w>
-regi stered</w>
-bet es</w>
-relax ing</w>
-bloo m</w>
-inten se</w>
-valent ines</w>
-insan e</w>
-w wii</w>
-p x</w>
-tri o</w>
-bla de</w>
-wiscon sin</w>
-con e</w>
-plat in
-ali ze</w>
-ra ven
-incre asing</w>
-indi ans</w>
-il ian</w>
-bl u</w>
-rabb it</w>
-exten sion</w>
-je f
-au di</w>
-fer ry</w>
-s ell
-a day</w>
-us b</w>
-swe at
-cham pag
-metho d</w>
-mem ph
-assi st</w>
-s by</w>
-ca pe
-remo ved</w>
-mag n
-v t</w>
-r ams</w>
-f bi</w>
-tack le</w>
-phe w</w>
-h on</w>
-motor cycle</w>
-su spec
-eleph ant</w>
-sub ject</w>
-let te</w>
-da iry</w>
-whe at</w>
-awk ward</w>
-ac t
-tro l
-mit ted</w>
-zay n</w>
-sheri ff</w>
-ene my</w>
-con s</w>
-ke tt</w>
-bul ls</w>
-ev alu
-bt c</w>
-satell ite</w>
-ho lo
-por ter</w>
-dia betes</w>
-bet ter
-rele asing</w>
-sur f</w>
-: -</w>
-se basti
-collec ting</w>
-en cing</w>
-e thi
-go ds</w>
-al ley</w>
-health y
-m ills</w>
-sma sh</w>
-co pper</w>
-cr ack</w>
-read ers</w>
-sp ac
-licen se</w>
-bas ket</w>
-bang la
-en tic</w>
-om i</w>
-m ere</w>
-si vely</w>
-anim ation</w>
-lan es</w>
-dent ally</w>
-chill in</w>
-fi e</w>
-k aren</w>
-dep th</w>
-li pse</w>
-n g
-ri p
-mel o
-sand y</w>
-ðŁijı ðŁijı
-vin cent</w>
-nu t
-hu g</w>
-who le
-cre ates</w>
-? ???</w>
-âĿ¤ï¸ı âĿ¤ï¸ı</w>
-bak ed</w>
-up grade</w>
-rober ts</w>
-har a</w>
-carib bean</w>
-auth entic</w>
-mb s</w>
-mosco w</w>
-attor ney</w>
-wi ki
-ch lo
-hu ll</w>
-cor k</w>
-" !</w>
-sty lish</w>
-ðŁĵ¸ :</w>
-di ary</w>
-impro ving</w>
-ex pand
-bri ght
-pollu tion</w>
-k nights</w>
-person ality</w>
-chec ked</w>
-fac ilities</w>
-z el
-bow ling</w>
-gu er
-ðŁİ Ĥ</w>
-on going</w>
-un its</w>
-hoo k</w>
-be ck</w>
-confl ict</w>
-to dd
-far ming</w>
-educ ational</w>
-k ak
-cla y
-stro ke</w>
-bel ly</w>
-explo re
-mill enni
-th m</w>
-loo p</w>
-sm s</w>
-consi st
-cir ca</w>
-br yan</w>
-d ab
-youn ger</w>
-soli dar
-pp a</w>
-experi enced</w>
-b ella</w>
-bo ard
-shef field</w>
-steph en
-consu mer</w>
-sub mit</w>
-spon sor
-t ang
-ag gre
-comb ined</w>
-trac king</w>
-sand ers</w>
-b az
-survi ve</w>
-fer red</w>
-equ al</w>
-se p</w>
-re ed</w>
-str ong
-priv acy</w>
-st ap
-un g
-ac ry
-pa sta</w>
-pir ates</w>
-ag er</w>
-fair y</w>
-du p</w>
-introduc ed</w>
-wi p</w>
-let s
-spr ay</w>
-ðŁĵ º</w>
-gre w</w>
-a sts</w>
-pitts burgh</w>
-new york</w>
-jo ey</w>
-lau ren
-tra de
-ch op
-pi pe</w>
-cla ire</w>
-behavi or</w>
-v ap
-cre ws</w>
-lap top</w>
-ðŁ¤ Ĺ</w>
-che ster
-disci pl
-d f</w>
-out doors</w>
-k s
-go ver
-super star</w>
-cas ino</w>
-far mer</w>
-; -)</w>
-re turned</w>
-ðŁı Ī</w>
-ma il
-roa sted</w>
-co sta</w>
-v ill
-pe z</w>
-gard ening</w>
-distribu tion</w>
-sh ining</w>
-inve stors</w>
-ra sp
-dec ades</w>
-reali zed</w>
-bar n
-p ti</w>
-st able</w>
-ut d</w>
-pan thers</w>
-m ens</w>
-b n
-ca de
-bu cket</w>
-yn n</w>
-when ever</w>
-wa ke
-da is
-ber nie</w>
-lo dge</w>
-ju lie</w>
-atmo sphere</w>
-ðŁĺĺ ðŁĺĺ</w>
-major ity</w>
-par ti
-exc it
-cu t
-me h
-musli ms</w>
-be gun</w>
-fli ghts</w>
-vene ss</w>
-ce me
-po sing</w>
-so le
-g ou
-dark ness</w>
-pe ach
-cel tic</w>
-auth ority</w>
-grand ma</w>
-ful ness</w>
-smi th
-speci fic</w>
-gar cia</w>
-co ins</w>
-good ness</w>
-aldu b
-recru iting</w>
-den nis</w>
-gar y
-sle eve</w>
-weap on</w>
-pl z</w>
-disco ver
-harri son</w>
-recruit ment</w>
-ja i
-ch im
-com pared</w>
-tom s</w>
-mo thers</w>
-am y
-archi ve</w>
-t ask</w>
-ben jam
-se g
-law yer</w>
-al um</w>
-inve sting</w>
-mi e</w>
-che z</w>
-j p</w>
-a ke
-fl am
-wall paper</w>
-âĻ¥ ï¸ı</w>
-t ton</w>
-che st</w>
-favor ites</w>
-we igh
-coo lest</w>
-r ating</w>
-relev ant</w>
-lo gan</w>
-ma ple</w>
-run ners</w>
-pri or</w>
-peop le
-ma ur
-terrori st</w>
-te sted</w>
-carni val</w>
-su spen
-me asure</w>
-m v
-cyber security</w>
-app ren
-terror ism</w>
-o z
-v ital</w>
-ni es</w>
-gon z
-fun ded</w>
-twi st</w>
-assess ment</w>
-die sel</w>
-en for
-colum n</w>
-ad dressing</w>
-ca sts</w>
-pay ment</w>
-x ton</w>
-fi er</w>
-, '</w>
-la st
-ne e</w>
-un less</w>
-clo se
-sk ill</w>
-cuis ine</w>
-fun eral</w>
-ti les</w>
-a un
-k ru
-relation ships</w>
-ðŁĴ ¯
-ev ent
-âĢįâĻĤ ï¸ı</w>
-kind ness</w>
-pro posed</w>
-acou stic</w>
-a es
-defen der</w>
-dan ce
-h tt
-w at</w>
-vo y
-ðŁ¤ ĺ
-au s
-cli ff</w>
-sear ching</w>
-beauti fully</w>
-in qu
-at l</w>
-speci alist</w>
-ðŁIJ ¶</w>
-da i</w>
-tra ils</w>
-class ics</w>
-inst ant</w>
-v ous</w>
-re venue</w>
-mar ch
-kir k
-fr inge</w>
-fire works</w>
-tri via</w>
-âĺ ħ</w>
-tr action</w>
-wal ter</w>
-mo to
-l ily</w>
-att itude</w>
-cli mb</w>
-sc an
-sav ings</w>
-c w
-fa ith
-cred its</w>
-ab led</w>
-gra ff
-auto graph
-he he</w>
-ran ch</w>
-ha d
-ro gers</w>
-ðŁĮ ¹</w>
-f in</w>
-re qu
-fol k
-ad ditional</w>
-lyn n</w>
-u ber</w>
-dol lars</w>
-lo gic</w>
-wor th
-so m</w>
-the sis</w>
-p ound</w>
-bi c</w>
-st ur
-cer am
-spen cer</w>
-en tered</w>
-v amp
-organi zed</w>
-âľ Ī
-pp s</w>
-tr on</w>
-merce des</w>
-no ti
-compet itive</w>
-do w</w>
-ous ness</w>
-vic tor</w>
-gr illed</w>
-na i</w>
-pu tin</w>
-ab ra
-bl ame</w>
-alex and
-anim al
-dec ent</w>
-p ent
-inter ior
-:' )</w>
-but ler</w>
-bal let</w>
-ðŁĴ Ķ</w>
-albu ms</w>
-down s</w>
-la d</w>
-si r
-pla in</w>
-p ers</w>
-blon de</w>
-dis c</w>
-paki stan
-se ment</w>
-ga a</w>
-w age</w>
-ch as
-man i</w>
-co ps</w>
-terr it
-lo l
-lau ghter</w>
-ri vers</w>
-magnific ent</w>
-lam p</w>
-w b
-new sle
-char ts</w>
-ble ssing</w>
-p unch</w>
-lon gest</w>
-fl oral</w>
-cu tie</w>
-fare well</w>
-sto pping</w>
-mb b</w>
-bu d</w>
-chee se
-de cla
-si m</w>
-mc donald</w>
-de ter
-you th
-t ch
-fre der
-kin dle</w>
-fer n
-at or
-as leep</w>
-p ond</w>
-spr int</w>
-p ounds</w>
-la zy</w>
-gh e
-fundra ising</w>
-dead ly</w>
-gran de</w>
-dou g</w>
-he y
-lin da</w>
-consi dering</w>
-i um</w>
-gol den
-vi k
-auth ors</w>
-di ss
-u ally</w>
-appropri ate</w>
-mor ning
-y le</w>
-hon oring</w>
-foli o</w>
-be c</w>
-re bec
-fin land</w>
-formu la</w>
-corn wall</w>
-sh ay
-cau sing</w>
-bl end</w>
-sig nal</w>
-t ent</w>
-kash mir</w>
-nation als</w>
-har mony</w>
-sc out</w>
-acce ssi
-he ight</w>
-medi eval</w>
-impro vement</w>
-ke es</w>
-prac tical</w>
-car d
-de par
-hu n</w>
-om ing</w>
-cal gary</w>
-ste l</w>
-bu bble</w>
-gur u</w>
-ma h</w>
-unex pe
-n h</w>
-ed a</w>
-me at
-i ge</w>
-si o</w>
-god dess</w>
-in ches</w>
-tun es</w>
-br itt
-sti on</w>
-ra j</w>
-âĻ «</w>
-mer cy</w>
-ðŁĴ ĺ</w>
-sen ds</w>
-i est</w>
-pol ici
-val e</w>
-reduc ed</w>
-as ap</w>
-vi jay</w>
-defen sive</w>
-celebr ations</w>
-ri ders</w>
-med itation</w>
-har mon
-g ing
-Â ¡</w>
-program ming</w>
-in au
-sud den
-m h</w>
-replac ement</w>
-sk u
-j ar</w>
-gra des</w>
-ta st
-k itt
-brand ing</w>
-k aw
-boo t
-f ought</w>
-p ays</w>
-g f</w>
-iz ation</w>
-ho p
-k k</w>
-activi st</w>
-v end
-coast al</w>
-cha os</w>
-ðŁĶ ´</w>
-se me
-bill board</w>
-li fting</w>
-cu mb
-sc al
-ðŁĸ ¤</w>
-stru ck</w>
-l v
-indie dev</w>
-beat en</w>
-jun gle</w>
-al right</w>
-destin y</w>
-m ing
-k c
-ch ances</w>
-om an</w>
-q atar</w>
-cra f
-tra ined</w>
-pri x</w>
-char m</w>
-o tive</w>
-s mu
-e c</w>
-and ers</w>
-hand ed</w>
-al ban
-certain ly</w>
-arri ving</w>
-i ze</w>
-sa i</w>
-tr ack
-pain ter</w>
-hu mble</w>
-appo intment</w>
-head line</w>
-manag ing</w>
-mo d</w>
-as pe
-andre a</w>
-Ã ¤
-ethi op
-un ited
-exi st
-bal i</w>
-k ad
-n t
-d red</w>
-re x</w>
-recogni ze</w>
-tam pa</w>
-be ers</w>
-ati a</w>
-he els</w>
-no te
-transport ation</w>
-tur tle</w>
-re de
-hipho p</w>
-sp icy</w>
-sp urs</w>
-⬠ĩ
-cor p</w>
-ther n
-to ast</w>
-hur ry</w>
-proper ties</w>
-ma ge</w>
-mar co</w>
-ele ments</w>
-bou ti
-syn drome</w>
-ms g</w>
-develop er</w>
-gra ders</w>
-he im
-re sil
-off ices</w>
-del ay</w>
-di men
-vin tag
-barbar a</w>
-ðŁĺ ±
-vene zu
-cu lar</w>
-fac ed</w>
-bar n</w>
-ðŁĺ Ĩ</w>
-survi vor</w>
-wor m</w>
-confu sed</w>
-passion ate</w>
-Ø ±
-identi fy</w>
-electr icity</w>
-sou ls</w>
-brad ley</w>
-repor tedly</w>
-lun ch
-shel f</w>
-eli a</w>
-swee t
-smoo th
-emplo yment</w>
-am el</w>
-manhatt an</w>
-ste am
-oun ts</w>
-ye p</w>
-li ving
-un e</w>
-descri be</w>
-ca res</w>
-man ila</w>
-sha wn</w>
-ac ted</w>
-bas h</w>
-st even
-re st
-pet ition</w>
-div ine</w>
-wel sh</w>
-rac e
-platin um</w>
-ðŁĮ ¸</w>
-p b</w>
-extra ordinary</w>
-solidar ity</w>
-m all
-on ion</w>
-schedu led</w>
-game of
-fer gu
-de ms</w>
-nor m
-p k</w>
-tri als</w>
-polici es</w>
-publi shing</w>
-st ole</w>
-fron t
-charac ter
-van ia</w>
-ex ce
-sti e</w>
-sc a</w>
-resi dential</w>
-sa iling</w>
-ðŁĶ¥ðŁĶ¥ ðŁĶ¥</w>
-spons ors</w>
-th ick</w>
-champag ne</w>
-she pher
-continu ing</w>
-ven ice</w>
-per th</w>
-na p</w>
-a ster
-y ak
-un limited</w>
-cho ices</w>
-ne o</w>
-hi v</w>
-repor ter</w>
-bru ssels</w>
-f old</w>
-dy s
-se mi
-la wn</w>
-it alia</w>
-wi fi</w>
-as k
-em ed</w>
-fr ame
-monit oring</w>
-ste ad</w>
-i da
-gr in
-is a
-fli p</w>
-re stric
-offen sive</w>
-atta ched</w>
-di sh
-wh y
-philli ps</w>
-gre et
-p als</w>
-mix tape</w>
-v ou
-fiel der</w>
-spar k</w>
-alber ta</w>
-g len</w>
-ca sh
-s ri
-u ri
-ro dri
-entreprene urs</w>
-climate change</w>
-p sy</w>
-d le
-em ents</w>
-lin ked</w>
-nether lands</w>
-acci dentally</w>
-oppos ition</w>
-vel vet</w>
-ra ys</w>
-c w</w>
-om o</w>
-m f</w>
-lmfa o</w>
-newsle tter</w>
-: )
-toi let</w>
-liter ature</w>
-di sp
-phili p</w>
-uni form</w>
-sudden ly</w>
-head er</w>
-cool er</w>
--- -</w>
-prou d
-bri g
-nis san</w>
-scienti st</w>
-j ah</w>
-con centr
-pac ks</w>
-appo inted</w>
-so ap</w>
-eng age</w>
-cho se</w>
-âĻ ¡
-se tup</w>
-jeal ous</w>
-har ry
-g ation</w>
-tun nel</w>
-te mp</w>
-osc ars</w>
-dec ade</w>
-recomm ended</w>
-child ren
-ab a</w>
-anxi ety</w>
-ve ments</w>
-sal on</w>
-pho too
-organi z
-mach ines</w>
-ab s</w>
-vil le
-hy pe</w>
-ti ff
-emer ging</w>
-av geek</w>
-[ #</w>
-contribu tion</w>
-bra dy</w>
-re sto
-g mail</w>
-fit z
-photo shoot</w>
-hel met</w>
-h t
-eleg ant</w>
-ug anda</w>
-nur sing</w>
-or leans</w>
-pen n</w>
-na h</w>
-foo tage</w>
-em a</w>
-w o</w>
-w ad
-concer ns</w>
-ve re
-re mark
-who ever</w>
-str ang
-p t
-qu it</w>
-sh ang
-histor y
-s ick
-perman ent</w>
-ill ness</w>
-col d
-visi on
-he m</w>
-ar row</w>
-con vic
-pin k
-oc cup
-bal d
-ex hau
-u of
-am o</w>
-on t</w>
-ãĥ »</w>
-adop t</w>
-la id</w>
-smo ked</w>
-inter pre
-ess enti
-associ ated</w>
-b d</w>
-bb y
-fi er
-inst all</w>
-dipl om
-con diti
-c f</w>
-w ak
-any a</w>
-gr aci
-fi sher
-s ss</w>
-ap r</w>
-il it
-mus ician</w>
-symph ony</w>
-cor d</w>
-h ack</w>
-le gi
-l v</w>
-bless ings</w>
-hum or</w>
-sc ra
-e ti
-min ster</w>
-trav elling</w>
-bu sh
-jewell ery</w>
-li me</w>
-!! !
-pregn ant</w>
-pe e</w>
-lo b
-cap ital
-ip a</w>
-pen cil</w>
-la bor
-duc ks</w>
-prou dly</w>
-wedd ing
-dere k</w>
-m w</w>
-pe g</w>
-valent ine
-an gu
-re treat</w>
-pro spect</w>
-dang er</w>
-vul ner
-up set</w>
-, #</w>
-sr k</w>
-x im
-thur sday
-n fl
-kis ses</w>
-re ds</w>
-cr ack
-re ward</w>
-c u</w>
-ko k</w>
-me te
-aband oned</w>
-it t</w>
-me als</w>
-sp ell</w>
-stan bul</w>
-del ays</w>
-ru m</w>
-le op
-gu m</w>
-no va</w>
-super man</w>
-ch ick</w>
-m is</w>
-dram atic</w>
-inno cent</w>
-r ounds</w>
-re c</w>
-auti sm</w>
-bangla desh</w>
-mor al</w>
-mo vie
-sp oo
-k la
-âĥ £
-ou ting</w>
-mess i</w>
-ab road</w>
-loo kin</w>
-a im</w>
-q i</w>
-st ack</w>
-colla ge</w>
-à ¯
-hud son</w>
-sc an</w>
-ho e</w>
-ch au
-oc cur
-comm ander</w>
-ho les</w>
-ðŁİ Ħ</w>
-bi as</w>
-v on
-stick er</w>
-ma k
-responsi bility</w>
-colum bus</w>
-sa int
-ed mon
-rac ism</w>
-far ms</w>
-w en</w>
-gul f</w>
-may o</w>
-!!!! !!!!
-corpor ation</w>
-ba chel
-el a
-inter nal</w>
-je ep</w>
-fol lows</w>
-di alogue</w>
-de rer</w>
-smart phone</w>
-he len</w>
-rich mond</w>
-equ ity</w>
-s land</w>
-b g</w>
-ne ar
-av i</w>
-memph is</w>
-we ir
-discu ssed</w>
-bad ge</w>
-p up</w>
-mi stake</w>
-phen omen
-un ite</w>
-ðŁ Ľ
-de pic
-ri des</w>
-in augu
-n at</w>
-sof twitter</w>
-comb ination</w>
-gosp el</w>
-âļ ¾
-ad mission</w>
-retro gaming</w>
-ðŁIJ ¾</w>
-sch u
-mb o</w>
-jun ction</w>
-al arm</w>
-à ¦
-gr ac
-kh ali
-k ul
-m ale
-cap tion</w>
-wi sh
-te re
-cor ps</w>
-ru bber</w>
-play station</w>
-er in</w>
-effici ent</w>
-l or</w>
-jo kes</w>
-in ary</w>
-nor man</w>
-lu is</w>
-inaugu ral</w>
-ch ed
-âļ½ ï¸ı
-di p</w>
-to e</w>
-str at
-aa c</w>
-am u
-pi er</w>
-co tt</w>
-comm and</w>
-tt en
-sn oo
-cu be</w>
-clo ses</w>
-class ical</w>
-s word</w>
-expre ssion</w>
-reach ing</w>
-n app
-co st
-affe ct</w>
-ric o</w>
-gi f
-brea the</w>
-tri be</w>
-or tho
-h ay</w>
-l g</w>
-fri es</w>
-n m</w>
-hi ding</w>
-richar ds</w>
-en de
-mic ro</w>
-capit ol</w>
-cop y
-ro m
-regi me</w>
-mary land</w>
-tax i</w>
-di al</w>
-embar ra
-un believ
-ch t</w>
-v s
-elim in
-o dd</w>
-pen ny</w>
-sound track</w>
-l ings</w>
-trans ition</w>
-rema ining</w>
-a is</w>
-mali k</w>
-? !?</w>
-rand om
-def end</w>
-ul tra
-tru m</w>
-danc er</w>
-st ol
-dri ve
-a ver</w>
-ro ast</w>
-defin ition</w>
-se an
-excit ement</w>
-partic ul
-su rely</w>
-sh av
-ber y</w>
-di shes</w>
-com m</w>
-is ol
-i am</w>
-ob li
-gho st
-hugh es</w>
-chi efs</w>
-b as</w>
-conserv ative</w>
-speci al
-fe min
-sh ri</w>
-n ancy</w>
-inte l</w>
-tu ne
-ðŁĩ ª
-jo el</w>
-gg le</w>
-mo to</w>
-ðŁĺ Ķ</w>
-bu ck</w>
-d ag
-antic ip
-mont ana</w>
-gu id
-fro g</w>
-ec raft</w>
-op e</w>
-dri ves</w>
-nu mer
-x y</w>
-color ful</w>
-wednesday wisdom</w>
-illu min
-bey on
-inau gur
-deep ly</w>
-pre fer</w>
-for tune</w>
-coo ked</w>
-ti ble</w>
-âĺ ķ
-swe ater</w>
-it ter</w>
-tt y
-u i</w>
-gi e
-com plic
-~ ~
-tax es</w>
-cu ps</w>
-di verse</w>
-sam anth
-âłĢ âłĢ
-ba king</w>
-sy mp
-wa i
-be half</w>
-mer cur
-travel s</w>
-ðŁİī ðŁİ
-or ia</w>
-eng aged</w>
-jump ing</w>
-reti red</w>
-n aked</w>
-p uni
-speed way</w>
-sci ences</w>
-rehear sal</w>
-on ym
-dy ou
-pl ates</w>
-r ati
-kri sh
-jaz z
-car ol</w>
-ra f</w>
-pen alty</w>
-tim eline</w>
-ru by</w>
-engine ers</w>
-ra f
-bel le</w>
-do se</w>
-che on</w>
-esc ap
-me g
-ran k</w>
-or d</w>
-me gan</w>
-mer ch</w>
-ec lipse</w>
-âĺº ï¸ı
-ple dge</w>
-kir k</w>
-per si
-leice ster</w>
-sa k
-w k
-saf ely</w>
-yy y</w>
-je t
-promis ed</w>
-j c</w>
-en ne</w>
-no ah</w>
-re no
-re a</w>
-ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ</w>
-tra il
-ðŁij Ģ
-f d</w>
-soo o</w>
-ri min
-w k</w>
-ภ²
-i al
-x ox
-bis cu
-d ale
-fan dom</w>
-particip ating</w>
-fla g
-privi lege</w>
-pe ach</w>
-mach ine
-bo ston
-gro ss</w>
-o g
-mir acle</w>
-adop tion</w>
-u ss
-mon sters</w>
-be ij
-clar ke</w>
-pu shing</w>
-pra ying</w>
-ar o</w>
-d n
-ell is</w>
-apol lo</w>
-od ds</w>
-refuge e</w>
-to w
-b p</w>
-ðŁĩ¬ðŁĩ §</w>
-h end
-app eared</w>
-memb ership</w>
-pe an
-du m</w>
-viol ent</w>
-v y
-potat oes</w>
-aw w</w>
-greet ings</w>
-t ts</w>
-ac on</w>
-sh ane</w>
-photograph ed</w>
-cra b</w>
-temper atures</w>
-cu ba</w>
-c fc</w>
-wel com
-he l</w>
-in nings</w>
-m k
-co de
-kno ck</w>
-gra ss
-swe dish</w>
-p ta</w>
-ick y</w>
-v at
-lin ing</w>
-s q</w>
-sa p</w>
-ar c</w>
-announ cing</w>
-sk ins</w>
-cit yof
-br ing
-co x</w>
-gam er</w>
-it arian</w>
-i da</w>
-h d
-ros se</w>
-sad ly</w>
-ge o</w>
-âļ ¡ï¸ı</w>
-tag s</w>
-fa ther
-chan ge
-l ance</w>
-whis key</w>
-adel aide</w>
-te c</w>
-stick ers</w>
-marke t
-class y</w>
-bad ass</w>
-flo rence</w>
-lin er</w>
-fro st</w>
-k ate
-ac on
-scand al</w>
-es sex</w>
-ðŁĺ ı
-vi vi
-dr ill</w>
-blo ggers</w>
-recomm end
-d ha
-ac res</w>
-ro ma</w>
-bu y
-gro cer
-er ia</w>
-ma har
-ff er</w>
-patter ns</w>
-ver i
-com pu
-st ev
-ang a</w>
-ment or</w>
-do o</w>
-it ali
-cdn poli</w>
-on ly
-conduc t</w>
-elec tro
-de f</w>
-wh ale</w>
-prepar ation</w>
-bicy cle</w>
-vi ral</w>
-turn out</w>
-bra ss</w>
-qu ad
-hospit ality</w>
-pack aging</w>
-den cy</w>
-ceme tery</w>
-abo ard</w>
-dre aming</w>
-pic ture
-t all
-inv ent
-ad mi
-o e</w>
-tem ps</w>
-qu an
-fun dam
-pro mp
-resi dence</w>
-mu d</w>
-sour i</w>
-âĦ ¢</w>
-graff iti</w>
-gi f</w>
-d nd</w>
-com p</w>
-s war
-pe eps</w>
-pale stine</w>
-devil s</w>
-san g</w>
-assi stance</w>
-bi ke
-missi ssi
-inter viewed</w>
-ne phew</w>
-dru ms</w>
-v and
-gentle men</w>
-n sw</w>
-inst a</w>
-leban on</w>
-ee ee
-oli via</w>
-ver y
-rou gh
-industri es</w>
-m ation</w>
-ðŁĺ Ĵ</w>
-bar rel</w>
-n ay
-po ps</w>
-moder n
-ill y
-are st</w>
-on ents</w>
-protec ting</w>
-v ans</w>
-e o</w>
-vi kings</w>
-restaur ants</w>
-re ck
-jac kie</w>
-andre w
-w illing</w>
-he ath</w>
-citiz en
-disc rimin
-๠Ī</w>
-stu art</w>
-m ys</w>
-hi p
-tran sp
-" ?</w>
-te x</w>
-su shi</w>
-ke d
-cro ssed</w>
-dist ur
-pe dia</w>
-f ate</w>
-some how</w>
-mo th</w>
-proce ssing</w>
-is s
-r in</w>
-u ts</w>
-yy c</w>
-ver t</w>
-lg bt
-re id</w>
-on to
-arab ia</w>
-habit at</w>
-= =
-stre ak</w>
-simp son</w>
-addic tion</w>
-wim ble
-deli vers</w>
-challeng ing</w>
-ðŁİ ¶
-fran ch
-e du
-s me
-ai ds</w>
-hur st</w>
-th am
-tari an</w>
-remem bered</w>
-palestin ian</w>
-fe es</w>
-tru m
-sket ch
-ur u</w>
-fit ting</w>
-jes se</w>
-ðŁĶ¥ ðŁĶ¥</w>
----- ----
-ba ch
-ici a</w>
-colo red</w>
-da h</w>
-associ ate</w>
-int el
-s eller</w>
-p u</w>
-stu ffed</w>
-ac s</w>
-b s
-sh in</w>
-cooper ation</w>
-certific ate</w>
-ab u</w>
-ingredi ents</w>
-re v</w>
-in ge
-el der
-christi an
-bun dle</w>
-th ic</w>
-dir t</w>
-beij ing</w>
-comm it</w>
-ted dy</w>
-ed u</w>
-to day
-s field</w>
-w yn
-confir ms</w>
-lo o</w>
-j v</w>
-ene ss</w>
-al pha
-vir us</w>
-ari um</w>
-gr ind</w>
-bri dges</w>
-introduc tion</w>
-pol ls</w>
-bac ter
-z ach</w>
-termin al</w>
-ra iders</w>
-fla vor</w>
-zom bie</w>
-vo d
-sp reading</w>
-gameof thrones</w>
-effici ency</w>
-lat ely</w>
-ale m</w>
-twee t
-cri mes</w>
-cl er
-de y</w>
-dg ed</w>
-hy un
-pay ments</w>
-cir cus</w>
-ðŁĺŃ ðŁĺŃ</w>
-mis souri</w>
-lu b</w>
-episo des</w>
-c age</w>
-po s</w>
-mat ching</w>
-tumb lr</w>
-lin ed</w>
-ge st
-am bi
-nar r
-ing ton
-regu l
-blo wn</w>
-is le</w>
-co co
-on don</w>
-joshu a</w>
-tour ing</w>
-sm a</w>
-sau sage</w>
-best friend</w>
-bo eing</w>
-desi re</w>
-sav age</w>
-ra pper</w>
-de vo
-te ar</w>
-take over</w>
-cow boys</w>
-po ker</w>
-par ag
-pp e</w>
-h int</w>
-we ars</w>
-se th</w>
-ro les</w>
-l anc
-man ga</w>
-form at</w>
-fl yer</w>
-c ay
-mo or</w>
-ba ke</w>
-spla sh</w>
-v ad
-ker ala</w>
-proce eds</w>
-sil ly</w>
-reflec tion</w>
-di str
-wi d
-su it
-ci vic</w>
-yan kees</w>
-by n</w>
-migr ation</w>
-di stin
-or ch
-fe mini
-quali fying</w>
-tu ri
-o be
-hun dred</w>
-cra p</w>
-wan g</w>
-mathe mat
-bu re
-expo sure</w>
-fergu son</w>
-seme ster</w>
-re serv
-pl ym
-a hu
-fac ial</w>
-wa x</w>
-wor ried</w>
-ca b</w>
-vi o
-as a</w>
-co d</w>
-to pics</w>
-p cs</w>
-hal o</w>
-rescu ed</w>
-horiz on</w>
-ar k
-âļ ª
-hol ly</w>
-el f</w>
-ul ti
-pu p
-quali fied</w>
-attend ance</w>
-ati vely</w>
-destro y</w>
-y c</w>
-for th</w>
-photoo ftheday</w>
-c ents</w>
-ic eland</w>
-meas ures</w>
-de sk
-port folio</w>
-artic les</w>
-direc tors</w>
-dat ab
-e w
-creep y</w>
-oun ding</w>
-hon oured</w>
-mi st</w>
-j it
-men tioned</w>
-port able</w>
-iti c</w>
-d ann
-friday feeling</w>
-am id</w>
-ti ger
-scri p
-helicop ter</w>
-hard ware</w>
-expl or
-work place</w>
-austri a</w>
-beat les</w>
-ber nar
-spi der
-disc o</w>
-cul t</w>
-lim its</w>
-shor tly</w>
-fin al
-nin ja</w>
-lu ke
-le bron</w>
-wal mart</w>
-o il
-van illa</w>
-shi re
-ye g</w>
-ak y</w>
-c s
-bl er</w>
-collec ted</w>
-t g</w>
-rol led</w>
-speci als</w>
-b ff</w>
-pier re</w>
-sh im
-vi er</w>
-flash back</w>
-restor ation</w>
-individu als</w>
-pro d</w>
-fre aking</w>
-tu rer</w>
-o a</w>
-re fre
-mor oc
-gre et</w>
-re yn
-care ful</w>
-our ing</w>
-u sh
-is d</w>
-g ill</w>
-vie w
-thunder storm</w>
-b led</w>
-pic nic</w>
-guar di
-pi g
-ar k</w>
-syl vania</w>
-bann ed</w>
-u cl
-vi jay
-ori um</w>
-av engers</w>
-believ es</w>
-eu r</w>
-monu ment</w>
-concer ned</w>
-la bs</w>
-ber g
-a ap
-vi sh
-sing les</w>
-can cel
-z el</w>
-ar ab</w>
-ru th</w>
-too th</w>
-ar ta</w>
-sh af
-chair s</w>
-r ack</w>
-dise ases</w>
-crow d
-cl y
-fle x</w>
-christ ma
-artif icial</w>
-tom at
-fin e
-dra ws</w>
-advoc ate</w>
-fran ce
-Ù Ĭ
-ðŁĺ ³
-heav y
-s our</w>
-compre hen
-no ble</w>
-aa p</w>
-hin du</w>
-cor al</w>
-g ars</w>
-ow en</w>
-n l
-st all</w>
-yel low
-mar ina</w>
-in ver
-suppor t
-tou gh
-promis es</w>
-pi e
-master piece</w>
-sco re
-for ce
-mor tg
-crypto currency</w>
-o x</w>
-r ors</w>
-rock in</w>
-pro vin
-ho g
-no stal
-oak land</w>
-pat rick
-inclu sion</w>
-tra ffic
-ah med</w>
-a ha
-lux ury
-con secu
-de mon</w>
-âĸ º</w>
-b lowing</w>
-st ag
-: "</w>
-encoura ge</w>
-ben e
-sku ll</w>
-do dge</w>
-bu ster</w>
-kin son</w>
-wit ne
-er ror</w>
-lo west</w>
-fel low
-à °
-sh re
-bl ur
-vir gin</w>
-compos er</w>
-sli p</w>
-mor nings</w>
-ga ins</w>
-tab le
-gra in</w>
-ari st</w>
-braz ilian</w>
-w we
-tu es</w>
-ribb on</w>
-an ag
-di st</w>
-sac rif
-em brace</w>
-entreprene ur
-af fili
-de o</w>
-t ali
-touri st</w>
-fat al</w>
-ì Ĭ
-autom atic</w>
-ðŁĩ µ
-we ak
-wel fare</w>
-confir m</w>
-benjam in</w>
-fi ghts</w>
-alleg ed</w>
-me ad
-strugg ling</w>
-pro secu
-che f
-Ã ¨
-propos al</w>
-er n</w>
-ðŁĺ Ħ
-dy k</w>
-on gs</w>
-hon g
-m ack</w>
-mel on</w>
-on ent</w>
-ru sh
-d ap
-tol er
-pro pag
-c ze
-trans lation</w>
-wal let</w>
-cott age</w>
-sa il</w>
-constitu tion</w>
-ðŁĴ Ģ</w>
-mun ici
-fav or</w>
-storm hour</w>
-i h
-ðŁĺ Į</w>
-approach ing</w>
-pin ned</w>
-j ed
-niger ian</w>
-n ach
-sh at
-particul arly</w>
-mc don
-camer as</w>
-anni e</w>
-admini str
-he at
-electr ical</w>
-char ming</w>
-gib son</w>
-bouti que</w>
-ex posed</w>
-ac tor
-pil low</w>
-beach es</w>
-genu ine</w>
-margare t</w>
-ben nett</w>
-lou isi
-pos itions</w>
-el y
-shin y</w>
-ten tion</w>
-architec t</w>
-ren tal</w>
-ac qui
-goo gle
-sub way</w>
-mom ent
-ðŁļ ¨
-ri m</w>
-metho ds</w>
-cy cli
-nor folk</w>
-Ù Ī
-over whel
-ra pid</w>
-we ar
-happy birthday</w>
-progre ssive</w>
-ðŁĴ ¥
-co gn
-pap a</w>
-f ool</w>
-philosoph y</w>
-pol ar</w>
-jim my
-wi g</w>
-ðŁĴ ĭ
-oper ating</w>
-reduc tion</w>
-ph i</w>
-fla gs</w>
-to the
-o di
-a res</w>
-k oo
-k ang
-ar kansas</w>
-ash ton</w>
-wimble don</w>
-sci fi</w>
-attrac tive</w>
-mississi ppi</w>
-logi sts</w>
-ral ph</w>
-la bel
-gradu ates</w>
-ma ha
-home town</w>
-âľĮ ï¸ı</w>
-foun ded</w>
-on the
-li z</w>
-trans l
-mini mum</w>
-pre sti
-ta m</w>
-gener ations</w>
-re bel</w>
-journ alists</w>
-par am
-mc m</w>
-acry lic</w>
-death s</w>
-tes la</w>
-w t</w>
-bry ant</w>
-jer us
-i stanbul</w>
-muham mad</w>
-ri ley</w>
-k ris</w>
-work shops</w>
-is o</w>
-coun ts</w>
-stre t
-prote cted</w>
-trin ity</w>
-man ual</w>
-r hin
-r il
-pleas ant</w>
-le mon
-ner d</w>
-har der</w>
-dar ren</w>
-bur y
-ra h
-bas is</w>
-mi gu
-occa sion</w>
-li sts</w>
-âĿ¤ï¸ıâĿ¤ï¸ı âĿ¤ï¸ı</w>
-e b
-de cre
-hamp ton</w>
-ìĿ ´
-tra vis</w>
-trans form</w>
-puer to</w>
-nh l
-av oc
-tri ps</w>
-unexpe cted</w>
-ve t
-di dyou
-bar ber</w>
-st ages</w>
-m son</w>
-re presented</w>
-for t
-l al
-pp le</w>
-nic ely</w>
-ignor e</w>
-qu il
-qu inn</w>
-h k</w>
-carri er</w>
-remin ded</w>
-am ong
-pass enger</w>
-el len</w>
-gue z</w>
-sc ape</w>
-mu ral</w>
-youn gest</w>
-ma sh
-d ill
-rout ine</w>
-stain less</w>
-jack son
-gand hi</w>
-th al</w>
-on ers</w>
-edit orial</w>
-convers ations</w>
-sd ale</w>
-autom ation</w>
-i ke
-า à¸
-ðŁĩ ª</w>
-hau l</w>
-la ying</w>
-men tions</w>
-am en</w>
-abor tion</w>
-i bi
-coun ties</w>
-ca therine</w>
-man ds</w>
-jam e
-roll er</w>
-au t</w>
-n am</w>
-o logical</w>
-cep tion</w>
-ran king</w>
-tox ic</w>
-sn acks</w>
-victor ian</w>
-bang kok</w>
-psycho logy</w>
-re g</w>
-ang ela</w>
-respon d</w>
-sty le
-sophi e</w>
-dak ota</w>
-achiev ed</w>
-mar ked</w>
-imper ial</w>
-in as</w>
-glo ves</w>
-sli m</w>
-confi dent</w>
-att acked</w>
-gg er
-lon ely</w>
-valentine sday</w>
-re b
-craft beer</w>
-orig in</w>
-zim bab
-ce iling</w>
-te ens</w>
-other wise</w>
-w b</w>
-f ers</w>
-day sof
-advis or</w>
-y ah</w>
-âĻ ª</w>
-en der</w>
-republic ans</w>
-av a</w>
-skir t</w>
-pi pel
-chi e</w>
-jan e
-ja x</w>
-ðŁĺ ĭ
-âľ Ĭ
-j ays</w>
-bre tt</w>
-bal o
-cru cial</w>
-d har
-as is</w>
-de au</w>
-lloy d</w>
-chat ting</w>
-âĿĦ ï¸ı</w>
-rel ay</w>
-remark able</w>
-n s
-we t
-bris bane</w>
-ðŁĶ ´
-tion ally</w>
-f k</w>
-la yer</w>
-house hold</w>
-consecu tive</w>
-es is</w>
-pend ant</w>
-st ir
-crit ic
-su gar
-photo shop</w>
-pa res</w>
-arti stic</w>
-do dgers</w>
-c un
-cra fted</w>
-am end
-bo at
-âŃIJ ï¸ı
-egyp tian</w>
-sa w
-tra ge
-small er</w>
-ox y
-pa ired</w>
-nex t
-i res</w>
-tac o</w>
-o y</w>
-u c</w>
-st i</w>
-a erial</w>
-: //</w>
-dr o</w>
-dot com</w>
-gg ins</w>
-r pg</w>
-ay e</w>
-le an
-stri ker</w>
-lo bby</w>
-prote sts</w>
-pri ority</w>
-congre ss
-am ate
-inv it
-r ington</w>
-mom my</w>
-th us</w>
-allow ing</w>
-pione er</w>
-enfor cement</w>
-g ori
-tal k
-dra g</w>
-du mb</w>
-bul let</w>
-san ge
-er y
-tar gets</w>
-ðŁĩ ¦
-he ather</w>
-consi der
-seaf ood</w>
-ve st</w>
-ris ks</w>
-% .</w>
-p g
-sac red</w>
-he ating</w>
-kick ed</w>
-tto t</w>
-. -</w>
-chan di
-co ven
-po ol
-pul se</w>
-i a
-ro ster</w>
-shakespe are</w>
-es a</w>
-car go</w>
-pean ut</w>
-tro op
-ac tion
-tab let</w>
-home work</w>
-cast le
-stru ction</w>
-mus icians</w>
-free zing</w>
-bu tt
-justin bieber</w>
-j j
-bah rain</w>
-an them</w>
-au dit
-didyou know</w>
-na vig
-guid ance</w>
-âĸ ¶
-tur f</w>
-n un
-fic ations</w>
-ye men</w>
-char ging</w>
-x c</w>
-bron cos</w>
-su bur
-p ale</w>
-bor ing</w>
-among st</w>
-for the
-em per
-om fg</w>
-p j
-expe cting</w>
-ðŁĴ «</w>
-st l</w>
-ad min</w>
-expect ations</w>
-sw an</w>
-shoo t
-oooo o</w>
-min ent</w>
-ãĢ IJ</w>
-wall ace</w>
-stan g</w>
-satur day
-adop ted</w>
-dou bles</w>
-hom ie</w>
-ome z</w>
-d han
-vent ure</w>
-surroun ding</w>
-fi le
-mob ility</w>
-de es</w>
-w ski</w>
-broo ke</w>
-emb ro
-re members</w>
-kar a</w>
-test im
-bo tan
-m tv</w>
-sacrif ice</w>
-jerus alem</w>
-d l
-Â ´</w>
-proper ly</w>
-ili on</w>
-as i</w>
-leg it</w>
-co pe</w>
-m cla
-recy cling</w>
-lar ger</w>
-ðŁĴ ĵ</w>
-pat ric
-gener ous</w>
-ja red</w>
-p f</w>
-mol ly</w>
-thom as
-ju dges</w>
-h b</w>
-sor ts</w>
-bl vd</w>
-o ven</w>
-enter ing</w>
-plan es</w>
-be et
-integr ation</w>
-boo ked</w>
-fre ed
-ver n</w>
-ash es</w>
-to pped</w>
-de pot</w>
-welcom ed</w>
-ren a</w>
-m ick</w>
-d and
-see ks</w>
-gam er
-ran kings</w>
-ren e</w>
-mu t
-whis ky</w>
-fire fighters</w>
-gu es</w>
-ga ther</w>
-tour ney</w>
-de men
-y ang</w>
-new ton</w>
-autom otive</w>
-back yard</w>
-deta iled</w>
-mi st
-to bac
-fi ber</w>
-un usual</w>
-grat itude</w>
-sp are</w>
-ne ys</w>
-: *</w>
-per i
-flo ating</w>
-fin alist</w>
-don ating</w>
-dre ss
-bro ad</w>
-be the
-econom ics</w>
-tai wan</w>
-ed wards</w>
-plu g</w>
-pra iri
-val en
-bab a</w>
-f ad
-an as</w>
-har per</w>
-dis order</w>
-app lied</w>
-p att
-bi kin
-li ver</w>
-cu ri
-carol ine</w>
-ann er</w>
-juli an</w>
-wal king
-mal col
-screen shot</w>
-co ding</w>
-skin care</w>
-activi sts</w>
-myster ious</w>
-ex act</w>
-blo cking</w>
-mercur y</w>
-bat ter
-du mp
-âľ Į</w>
-en se
-li sh
-ridic ulous</w>
-prote sters</w>
-ðŁĻ Ī
-lu st</w>
-swe at</w>
-as s
-ali ke</w>
-co dy</w>
-re ments</w>
-win ds
-as pir
-vi enna</w>
-pra y
-.. .@</w>
-bo i</w>
-cand le</w>
-assi sts</w>
-te e
-der son</w>
-p ony</w>
-f ence</w>
-con spir
-âĺħ âĺħ
-oo th</w>
-e pic
-ba rely</w>
-a unt</w>
-b am</w>
-diamon ds</w>
-end less</w>
-scre ens</w>
-can cer
-gr o</w>
-p st</w>
-pro spec
-mo sque</w>
-help ful</w>
-ou ri
-bro ther
-gu jar
-cri sti
-ine z</w>
-to wers</w>
-ad dresses</w>
-gra y
-bur ton</w>
-re tweeted</w>
-ðŁ¤ Ķ
-n ity</w>
-du ck
-super vis
-jo an</w>
-kin der
-sanc tu
-pi ed</w>
-âı °</w>
-ł ï¸ı</w>
-m ati
-reven ge</w>
-ce ster</w>
-eli fe</w>
-desig ners</w>
-back ed</w>
-bo li
-wei ght
-cou ch</w>
-su res</w>
-s its</w>
-shri mp</w>
-la gos</w>
-auth orities</w>
-os ity</w>
-hol ly
-compu ting</w>
-fac tors</w>
-ab e</w>
-pan els</w>
-ram ad
-sent ence</w>
-missi on
-hol m</w>
-r b
-d ads</w>
-shang hai</w>
-mon ey
-she ets</w>
-sk ate</w>
-thre w</w>
-cup cakes</w>
-infin ite</w>
-l is</w>
-practic ing</w>
-ess ay</w>
-ka i
-as ci
-mo b</w>
-u gh</w>
-hol mes</w>
-re gg
-ik h</w>
-mo ck</w>
-collec tions</w>
-pe p
-o va</w>
-sal t
-nan dez</w>
-co y
-thre ats</w>
-tex ts</w>
-cin nam
-pregn ancy</w>
-pen ding</w>
-stam p</w>
-flow er
-g is</w>
-agre ed</w>
-pay ne</w>
-ro ver</w>
-ph ra
-sof t
-f fin
-fa thers</w>
-pass engers</w>
-aw ays</w>
-al a
-h es</w>
-li van</w>
-in s
-samu el</w>
-ingu i
-h of</w>
-j j</w>
-chen nai</w>
-cat al
-om ic</w>
-he ath
-ni ece</w>
-pump ed</w>
-integr ated</w>
-are l</w>
-no m</w>
-produc tivity</w>
-wan ting</w>
-vis a</w>
-di ana</w>
-tw il
-it v</w>
-cam ps</w>
-ro wing</w>
-d ley</w>
-black and
-gu ards</w>
-b ells</w>
-re verse</w>
-vi be</w>
-ric ky</w>
-mo ss</w>
-ny t</w>
-âĺ Ģï¸ı
-el le
-tro y</w>
-cu dd
-ev an
-women s
-fo to</w>
-mi stakes</w>
-wick ed</w>
-mi l</w>
-c led</w>
-me mes</w>
-co smo
-schol ar</w>
-ren o</w>
-ðŁĺ Ģ
-v ents</w>
-# âĢ¦</w>
-terrori sts</w>
-ca sey</w>
-cardin als</w>
-ðŁĺĬ ðŁĺĬ
-venezu ela</w>
-bol a</w>
-liter acy</w>
-t w</w>
-en o</w>
-con tains</w>
-au stin
-fin anci
-ev an</w>
-har vard</w>
-origin ally</w>
-chev ro
-her ald</w>
-nott ingham</w>
-manag ers</w>
-âŀ ¡</w>
-accep ting</w>
-wal sh</w>
-tutor ial</w>
-entrepreneur ship</w>
-yach t</w>
-requi rements</w>
-glen n</w>
-pe de
-unfortun ately</w>
-ach ing</w>
-dais y</w>
-gi an</w>
-night mare</w>
-âĿ Ĺ
-r ina</w>
-b art</w>
-ema ils</w>
-oppo site</w>
-who m</w>
-sa ke</w>
-pu zzle</w>
-da shi
-par ty
-blan ket</w>
-bus es</w>
-lo re
-beau ty
-reas on
-pun jab</w>
-winds or</w>
-func tional</w>
-exi sting</w>
-hel lo
-gli mp
-con vin
-la k
-scre aming</w>
-rebec ca</w>
-bli ss</w>
-north west</w>
-infin ity</w>
-cosme tics</w>
-pul ling</w>
-coffe e
-pl ing</w>
-op ho
-colom bia</w>
-interior design</w>
-( +</w>
-emo tions</w>
-sa c</w>
-sun glasses</w>
-sav es</w>
-d f
-six th</w>
-al y</w>
-ðŁĺ »</w>
-de en</w>
-dev ast
-polit icians</w>
-lac rosse</w>
-g u</w>
-pe i</w>
-jav a</w>
-comb ine</w>
-coal ition</w>
-er ts</w>
-survi v
-ch ad</w>
-stri an</w>
-n n</w>
-de vi
-coun c
-concer n</w>
-contro ller</w>
-bre ast
-j ury</w>
-tu m
-introduc es</w>
-la di
-mobi le
-al z
-ste ady</w>
-nur ses</w>
-h acking</w>
-on line
-oce an
-ðŁİ Ħ
-a am
-ju ven
-ic c</w>
-louisi ana</w>
-ar te</w>
-street art</w>
-is on
-wn s</w>
-fr m</w>
-p anda</w>
-no ir</w>
-main tain</w>
-del ay
-symp toms</w>
-thor n
-ge ome
-ter n</w>
-carri ed</w>
-p ru
-pan or
-as sy</w>
-per u</w>
-clou d
-sp ra
-pe di
-e ste
-tag ged</w>
-ðŁĺ Ŀ</w>
-shado ws</w>
-naz i</w>
-ا٠Ħ
-cor ri
-âĻ¥ âĻ¥
-j ad
-ðŁĩ «
-form al</w>
-spo ken</w>
-ðŁĮ ŀ</w>
-enjo y
-lo pez</w>
-out look</w>
-in ho</w>
-w ander
-Ù ħ
-ma ya</w>
-pe e
-d ine</w>
-ãĢ ij</w>
-brief ing</w>
-suppor ter</w>
-ar ily</w>
-ght ers</w>
-natur ally</w>
-doctor who</w>
-j en</w>
-v ar</w>
-new year</w>
-re se
-si mm
-re x
-con sequ
-tomat oes</w>
-bur st</w>
-bra vo</w>
-bur gers</w>
-cr acking</w>
-nor theast</w>
-bi om
-mush room</w>
-mar que
-dou ble
-ni er</w>
-v ag
-tw enty</w>
-key board</w>
-win ni
-jama ica</w>
-par ish</w>
-: -
-mental health</w>
-ali zing</w>
-ren der</w>
-wa king</w>
-ðŁİ Ĥ
-g ly
-na than
-wa shing</w>
-mel issa</w>
-jun g</w>
-loy al</w>
-chil i</w>
-song writer</w>
-guit arist</w>
-bo wie</w>
-neighb ors</w>
-onym ous</w>
-as set</w>
-ta i</w>
-head quarters</w>
-ðŁĮ Ī</w>
-i hear
-ci gare
-sur g
-) "</w>
-re pl
-dar ling</w>
-ðŁĻ Ħ</w>
-z ak
-sa re
-ãħ ĭ
-mic key</w>
-ware house</w>
-mass age</w>
-ine es</w>
-did nt</w>
-i w
-hur ts</w>
-eng aging</w>
-mag ic
-women in
-k itten</w>
-mor s</w>
-c art</w>
-tit ans</w>
-colle ague</w>
-compe ting</w>
-er an</w>
-k hal
-mar ble</w>
-dem and
-del ight</w>
-et ary</w>
-bli zz
-lou ise</w>
-m ls</w>
-fini shes</w>
-experim ent</w>
-conduc ted</w>
-electr onics</w>
-itt ers</w>
-car ing</w>
-wh ats</w>
-sym bol</w>
-jun g
-e cu
-pi x</w>
-con text</w>
-char ger</w>
-ðŁĺ ĩ</w>
-re ig
-fra g
-ë ĭ
-ch ad
-tru e
-ker ry</w>
-def ending</w>
-a int</w>
-au ton
-check out</w>
-bar nes</w>
-less ly</w>
-d t
-m me</w>
-clou dy</w>
-second ary</w>
-are z</w>
-_ :</w>
-app a</w>
-const ant</w>
-" )</w>
-ve ts</w>
-jo b
-i ent</w>
-ðŁĺŃðŁĺŃ ðŁĺŃ</w>
-m j
-fren ch
-di ver
-davi es</w>
-hh hh</w>
-e book</w>
-๠ī</w>
-mar iti
-bree ze</w>
-susp ended</w>
-mat o
-vi et</w>
-ra hu
-se i
-bol t</w>
-en ary</w>
-le is
-kar l</w>
-fr amed</w>
-expla ining</w>
-ab c
-de aling</w>
-nat o</w>
-ja ke
-exp and</w>
-leon ard</w>
-establi shed</w>
-du b</w>
-ar men
-el led</w>
-voc al</w>
-nichol as</w>
-ori ent
-k yo
-illustr ated</w>
-ah h</w>
-danc ers</w>
-milli on
-ge ta
-po pp
-as u
-mur dered</w>
-gi ble</w>
-sto ked</w>
-gri ffin</w>
-maxi mum</w>
-adri an</w>
-en counter</w>
-ther o
-david son</w>
-ðŁį »</w>
-holi day
-ev o</w>
-asse ts</w>
-car son</w>
-memor able</w>
-âļ ½</w>
-ob am
-represent ative</w>
-cb d</w>
-tr icks</w>
-vo gue</w>
-vo ice
-mm mm</w>
-sebasti an</w>
-cli f
-ath y</w>
-par alle
-ðŁ¤ ·
-pa k
-ev acu
-e ats</w>
-ا Ø
-tou ched</w>
-organ ised</w>
-spir its</w>
-can ad
-gui ded</w>
-frame work</w>
-ðŁĮ Ł
-pe d
-natur al
-ag ar
-replac ed</w>
-anch or</w>
-ti t</w>
-sha h
-organ is
-super ior</w>
-r n
-ch ro
-eric a</w>
-st ill
-cor on
-chu ck
-loc ks</w>
-or gan</w>
-ro sen
-sc am</w>
-ben ed
-/ #</w>
-ke en</w>
-tre vor</w>
-vamp ire</w>
-sor ted</w>
-! '</w>
-af ford</w>
-in tro</w>
-gr ace
-ðŁĺ ľ
-sau r</w>
-kick starter</w>
-influ en
-v u</w>
-y up</w>
-po c
-ðŁİ ¥</w>
-a ar</w>
-s ang
-tre k
-et sy
-tb h</w>
-scre am</w>
-chevro let</w>
-pix el</w>
-shepher d</w>
-an or
-gabri el</w>
-tw ood</w>
-sd cc</w>
-me ters</w>
-develop ers</w>
-clo sure</w>
-v w</w>
-twit ch
-ì Ĺ
-se oul</w>
-pr ice
-ho g</w>
-n ish</w>
-hill ary
-scrat ch</w>
-in cen
-wag on</w>
-dis ability</w>
-pan ther</w>
-ch ats</w>
-g d
-wit z</w>
-sus sex</w>
-l ate
-den mark</w>
-ger ald</w>
-cancel led</w>
-net te</w>
-i x
-nav al</w>
-bap tist</w>
-te t</w>
-y ad
-ma th
-ho y</w>
-r andy</w>
-po int
-intel lec
-fru its</w>
-w ool</w>
-gu in
-pr on
-the ft</w>
-con dem
-mar ry</w>
-n ola</w>
-architec ts</w>
-cin cin
-roc kets</w>
-gentle man</w>
-ex plan
-t ate</w>
-do e</w>
-ra ises</w>
-wild life
-w l
-insi der</w>
-blan c</w>
-w p</w>
-for sale</w>
-ny c
-po well</w>
-unbeliev able</w>
-pen s
-goo dies</w>
-mu stang</w>
-p ens</w>
-st ays</w>
-squ ash</w>
-xox o</w>
-near by</w>
-ever ton</w>
-co co</w>
-le agu
-k han
-stu d</w>
-south west</w>
-con struc
-s worth</w>
-cro atia</w>
-le a</w>
-su ms</w>
-aim s</w>
-e an</w>
-van ess
-iti ous</w>
-pa thy</w>
-arc ade</w>
-b end</w>
-sugge sts</w>
-sac ram
-roy als</w>
-ri er</w>
-em ir
-in cl</w>
-an k
-clar k
-ri ght
-vac c
-ठ¾</w>
-tan e
-li b</w>
-u sc
-sal es
-hu h</w>
-s ally</w>
-ver a</w>
-p ga</w>
-gro ws</w>
-dru m
-tre e
-eth ics</w>
-sug gest</w>
-is ab
-se aled</w>
-pre viously</w>
-anim ated</w>
-ab du
-ri ses</w>
-glo b
-pre dat
-scar f</w>
-del ic
-om ar</w>
-ll i</w>
-sx sw</w>
-py thon</w>
-ne bra
-fun k</w>
-reflec t</w>
-pav ilion</w>
-tic ally</w>
-ch asing</w>
-bak ery</w>
-inva sion</w>
-ko h
-believ ed</w>
-co hen</w>
-con qu
-cra fts</w>
-nat i</w>
-cle ver</w>
-govern ance</w>
-sam ples</w>
-fa ils</w>
-â Ķ
-ti mo
-r itu
-stri king</w>
-inclu sive</w>
-sho cking</w>
-can t
-requi res</w>
-dra wings</w>
-ภŃ
-purch ased</w>
-du m
-z ach
-war ner</w>
-con sole</w>
-man sion</w>
-foun tain</w>
-circu m
-e sh</w>
-is land
-mil k
-pro fits</w>
-hali fax</w>
-ri val
-âľĪ ï¸ı</w>
-jen ny</w>
-sand ra</w>
-ny e</w>
-k elly
-y al</w>
-qu ad</w>
-no s</w>
-inste in</w>
-fin alists</w>
-mid fielder</w>
-cu e</w>
-excep tional</w>
-a an</w>
-sa pp
-gett in</w>
-sa a</w>
-f ati
-sl ice</w>
-vol k
-s wal
-la sting</w>
-sum mary</w>
-it as</w>
-sm o</w>
-s z
-âĺ Ĩ</w>
-ip l</w>
-fl ames</w>
-ene ws</w>
-ha v
-hoo die</w>
-pitch er</w>
-win dy</w>
-re vol
-centr al
-ton ite</w>
-ðŁİī ðŁİī</w>
-sol ved</w>
-mil wau
-organiz ations</w>
-wee ts</w>
-re fin
-s th
-ãĥ ¼
-el in</w>
-ton a</w>
-cinnam on</w>
-ðŁİ ¨</w>
-ðŁİ ģ</w>
-ron aldo</w>
-pen insu
-ome ga</w>
-el ds</w>
-desig ning</w>
-e igh
-blu et
-ben z</w>
-nu g
-ash a</w>
-robo ts</w>
-su dan</w>
-choo sing</w>
-en do
-ser ge
-clo sely</w>
-hand y</w>
-fing er
-be ing
-ar te
-survi ved</w>
-fl ame</w>
-mile stone</w>
-gu t</w>
-d war
-fu tures</w>
-é e</w>
-el o</w>
-fri dge</w>
-eli c</w>
-ou ch</w>
-u b</w>
-p v</w>
-tit an
-col lar</w>
-st ation
-nev ada</w>
-aur ora</w>
-r d
-dun can</w>
-âģ ł</w>
-bri en</w>
-mar sh</w>
-Ð ¾
-to tal
-ch ry
-s ers</w>
-su ffe
-ra chel
-colle ge
-to days</w>
-cour ts</w>
-ch it
-re united</w>
-gym na
-gen esis</w>
-be side</w>
-re presentation</w>
-ch ant</w>
-collec tor</w>
-ra k
-ath ens</w>
-ni gh
-mun ich</w>
-langu ages</w>
-fl u</w>
-particip ation</w>
-__ _</w>
-c v
-spec trum</w>
-so da</w>
-co ver
-refe ren
-ab bo
-ap a</w>
-public ation</w>
-ed m</w>
-mon ica</w>
-ar my
-ðŁļ Ģ</w>
-div or
-dr y
-stre ams</w>
-robo tics</w>
-ci der</w>
-bull ying</w>
-appro val</w>
-sto ke</w>
-plat forms</w>
-sier ra</w>
-ex tin
-i b</w>
-ha yes</w>
-succe ed</w>
-suff er</w>
-at ically</w>
-da i
-lyn ch</w>
-h ound</w>
-del ines</w>
-ack now
-d ated</w>
-exclu sively</w>
-he res</w>
-fac ilit
-dam aged</w>
-char ter</w>
-la kers</w>
-fal con</w>
-unve iled</w>
-wel ove
-e ase</w>
-pati ence</w>
-l one</w>
-gent le</w>
-gene tic</w>
-produc ing</w>
-g our
-shann on</w>
-bil ities</w>
-zimbab we</w>
-p int</w>
-dau ghters</w>
-liter ary</w>
-bel le
-cl am
-surroun ded</w>
-k any
-ne il
-pir ate</w>
-rang er</w>
-hb d</w>
-nat alie</w>
-bel ong</w>
-olym pi
-emb assy</w>
-sc ol
-en er</w>
-ak in</w>
-lo ren
-b h</w>
-: /</w>
-di va</w>
-den im</w>
-hi pp
-ðŁĩµ ðŁĩ
-arn old</w>
-? '</w>
-we ren</w>
-em power
-dis abled</w>
-man or</w>
-rasp berry</w>
-b af
-aw ful</w>
-dru mmer</w>
-kar dashi
-n ash</w>
-machine learning</w>
-ch u</w>
-rebel s</w>
-tim ing</w>
-mon roe</w>
-ton gue</w>
-ran ge
-pup ils</w>
-re ss</w>
-amaz on
-b z</w>
-har ley</w>
-pal mer</w>
-ballo on</w>
-s ings</w>
-ic ec
-j b</w>
-c ers</w>
-g ps</w>
-whi st
-ri se
-l t
-oo oo</w>
-c attle</w>
-shoo ter</w>
-vod ka</w>
-uc l</w>
-mt g</w>
-le sli
-jon as</w>
-di spo
-at ric</w>
-ste in
-vintag e
-fir ms</w>
-flo yd</w>
-cow boy</w>
-soo oo</w>
-is aac</w>
-war craft</w>
-disney land</w>
-beauti ful
-be am</w>
-franch ise</w>
-bu n</w>
-k ag
-an on</w>
-tur bo</w>
-swee p</w>
-made in
-kar achi</w>
-dete ctive</w>
-penn sylvania</w>
-contro versi
-vitam in</w>
-a side</w>
-chron ic</w>
-descri bes</w>
-remo val</w>
-ha h</w>
-ap er
-ten ed</w>
-u to</w>
-bad ly</w>
-mir ac
-f ry</w>
-ye a</w>
-in jec
-ther mal</w>
-comp act</w>
-th or</w>
-te ed</w>
-ur gent</w>
-l ite</w>
-g illi
-sop hom
-ic o
-che m</w>
-p m
-for k</w>
-fre ak</w>
-ch ak
-recipi ent</w>
-i y
-ni k</w>
-model ing</w>
-c ans</w>
-ðŁı Ģ
-del ux
-se am
-surviv ors</w>
-rad ical</w>
-investig ating</w>
-reli able</w>
-f m
-tur t
-ligh thouse</w>
-to ol
-go wn</w>
-) )
-bo ts</w>
-auto graph</w>
-a id
-bu ffe
-h mm</w>
-horri ble</w>
-ssi onal</w>
-ann i</w>
-๠Ģ
-k its</w>
-sch i
-eter nal</w>
-hu ss
-sens itive</w>
-r u</w>
-tast es</w>
-chec ks</w>
-im o</w>
-por tion</w>
-sk ate
-e den</w>
-half time</w>
-fri ed
-ri hanna</w>
-ti se</w>
-fl ick
-ca in</w>
-s gt</w>
-âľ Ķ</w>
-sh au
-sta ined</w>
-ra ffle</w>
-dro ve</w>
-sal man
-princi ples</w>
-sh o</w>
-ar u
-je ss</w>
-gu ine
-gar bage</w>
-my an
-jel ly</w>
-dis ru
-z ia</w>
-q ld</w>
-ent ries</w>
-la v
-fle w</w>
-ad mit</w>
-objec ts</w>
-comp are</w>
-ny times</w>
-cann es</w>
-p n</w>
-suff ol
-ro c</w>
-d ana</w>
-e gg
-hi st</w>
-coun sel
-' !</w>
-phy si
-imag ination</w>
-ad just
-explo sion</w>
-plym outh</w>
-hor ror
-elli ott</w>
-bour ne
-de x</w>
-bre ed</w>
-au dio
-lob ster</w>
-disappo inted</w>
-nation wide</w>
-( (</w>
-incre ases</w>
-austr ali
-ce dar</w>
-star ing</w>
-rac ial</w>
-e is
-g mt</w>
-visi ons</w>
-stay ed</w>
-discu ssions</w>
-de an
-cur tis</w>
-mai den</w>
-stel lar</w>
-happ iest</w>
-h wy</w>
-pre season</w>
-car av
-mon days</w>
-hospit als</w>
-glimp se</w>
-schol ars</w>
-ja i</w>
-ter race</w>
-ann a
-goo se</w>
-gra ded</w>
-lot us</w>
-hun g</w>
-grocer y</w>
-stam ps</w>
-emper or</w>
-sc oop</w>
-in ser
-c as</w>
-exist ence</w>
-he al</w>
-fal cons</w>
-mar vel
-reduc ing</w>
-terri fic</w>
-magne tic</w>
-perfor ms</w>
-bar re
-p us</w>
-tre ating</w>
-ic on
-w h</w>
-decla red</w>
-tra uma</w>
-do d
-come dian</w>
-nik on</w>
-bu gs</w>
-as m</w>
-mont gom
-ibi za</w>
-comprehen sive</w>
-ha s
-san ti
-fellow ship</w>
-da sh
-p sal
-louis ville</w>
-sp y
-fau lt</w>
-d the
-fi led</w>
-vi sta</w>
-de sc
-fe ars</w>
-you tu
-sp s</w>
-es p</w>
-ri g</w>
-cri me
-ber ger</w>
-wonder land</w>
-k ent
-in formed</w>
-stev ens</w>
-my th</w>
-ast on</w>
-ir i</w>
-visit or</w>
-at ri
-produc ers</w>
-al la
-person ally</w>
-separ ate</w>
-agen cies</w>
-af ri
-il an
-spo ke
-n ina</w>
-squ ad
-di ves</w>
-de pend
-li v
-fier ce</w>
-enter taining</w>
-cha in
-sc at
-bor ders</w>
-pal ette</w>
-sp ro
-os is</w>
-der by
-tobac co</w>
-zi o</w>
-willi e</w>
-ju vent
-zoo m</w>
-hol y
-enti rely</w>
-af e</w>
-mart inez</w>
-be ds</w>
-pe a</w>
-bull dogs</w>
-ðŁĩª ðŁĩ
-ib m</w>
-ne on</w>
-ethiop ia</w>
-team mates</w>
-plan ting</w>
-tw er
-any time</w>
-for bes</w>
-ó n</w>
-run way</w>
-ner vous</w>
-ro ger
-p ile</w>
-ch anc
-apo caly
-u w
-o i</w>
-dr ought</w>
-territ ory</w>
-br ick
-cre atures</w>
-go in</w>
-w aff
-gre n
-sou theast</w>
-je an
-am bul
-ed ited</w>
-stra p</w>
-c v</w>
-aar on
-ãĥ» ãĥ»
-t su
-descri ption</w>
-kin dly</w>
-clu tch</w>
-im mer
-en or
-women sday</w>
-or ange
-ra g
-ob vious</w>
-hy der
-chann els</w>
-man go</w>
-me yer</w>
-ra ining</w>
-ge tty</w>
-pil gri
-coordin ator</w>
-up load</w>
-ninten do
-don uts</w>
-san chez</w>
-app arel</w>
-j r
-zz i</w>
-, @</w>
-jeff erson</w>
-accessi ble</w>
-great ly</w>
-e id</w>
-initi al</w>
-budd ha</w>
-par is
-ma scot</w>
-â¬ĩ ï¸ı</w>
-sch war
-si ri
-sp inning</w>
-mortg age</w>
-e cho</w>
-end ange
-ge dly</w>
-chlo e</w>
-enh ance</w>
-kar nat
-k ry
-explo res</w>
-ðŁĴ ģ
-af fair</w>
-ic als</w>
-all a</w>
-dar t
-dolph ins</w>
-diffe rences</w>
-squir rel</w>
-au gh</w>
-dr ones</w>
-ell en
-re store</w>
-pa w
-un for
-pi ke</w>
-hil ton</w>
-colla b</w>
-consu mers</w>
-co inci
-out comes</w>
-pp p</w>
-a q
-coup on</w>
-li est</w>
-si ms</w>
-k ho
-av es</w>
-spo on</w>
-pu dding</w>
-cor byn</w>
-hat ers</w>
-ex ams</w>
-sla ve</w>
-. !</w>
-p sa</w>
-app les</w>
-tam il</w>
-se d
-co ke</w>
-zz o</w>
-lo sange
-car bon
-cla ir</w>
-... )</w>
-k hu
-cra ig
-explor ation</w>
-sanctu ary</w>
-su e
-al way
-demen tia</w>
-won ders</w>
-super hero</w>
-pakistan i</w>
-brown s</w>
-bluet ooth</w>
-lo cker</w>
-mar c
-ev entu
-delux e</w>
-rodri guez</w>
-âĿ¤ âĿ¤</w>
-ro bb
-ðŁĴ ¦</w>
-lin ux</w>
-ten s</w>
-intellig ent</w>
-se ed
-vo ter</w>
-s ler</w>
-pe aks</w>
-inter n</w>
-teen age</w>
-peninsu la</w>
-hand ling</w>
-ti e
-cou sins</w>
-wen dy</w>
-me e</w>
-à¹Ģ à¸
-din o</w>
-ðŁĴ °</w>
-ðŁĺ ĥ
-ze e</w>
-s bury</w>
-trage dy</w>
-b k</w>
-bo re
-z in
-war ns</w>
-idi ot</w>
-tou ching</w>
-contin ental</w>
-tac os</w>
-saf ari</w>
-wa shed</w>
-po dium</w>
-morri son</w>
-fore sts</w>
-c bc
-al on
-partic ular</w>
-be ads</w>
-inv ented</w>
-lo ch</w>
-li ghter</w>
-where ver</w>
-i de</w>
-docu ments</w>
-a we</w>
-k r</w>
-no where</w>
-min er
-st it
-ro x
-contribu te</w>
-har dy</w>
-cl an</w>
-ob ject</w>
-ca it
-ðŁĴķ ðŁĴķ</w>
-happ ier</w>
-vege tables</w>
-t art</w>
-g ag
-nom inee</w>
-heav ily</w>
-pan ic</w>
-j d</w>
-there sa</w>
-at m</w>
-u ph
-s fc</w>
-su ri
-drin k
-n al
-re vel
-k l</w>
-avoc ado</w>
-nom ination</w>
-ma donna</w>
-shar on</w>
-malcol m</w>
-control led</w>
-sh ers</w>
-revi val</w>
-legis lation</w>
-shoo ts</w>
-n in</w>
-comm entary</w>
-pro s</w>
-human rights</w>
-str anger</w>
-mit ch</w>
-pipel ine</w>
-leg ally</w>
-th u</w>
-gil bert</w>
-tol l</w>
-gran ted</w>
-gh s</w>
-ir anian</w>
-refre shing</w>
-du k</w>
-ab i</w>
-pri me
-jose ph
-mo sa
-stati stics</w>
-produc tions</w>
-mer ry
-pat el</w>
-sa x
-human itarian</w>
-struc tures</w>
-e missions</w>
-town s</w>
-fre el
-ster ing</w>
-rat ings</w>
-alle gedly</w>
-cab in</w>
-st l
-w ade</w>
-fl yers</w>
-tri m</w>
-promis ing</w>
-z u</w>
-bal lot</w>
-compar ison</w>
-free ze</w>
-ou ter</w>
-great ness</w>
-as sign
-snow y</w>
-r ale
-tor ies</w>
-med iter
-kno ck
-consult ant</w>
-cincin nati</w>
-analy st</w>
-sc oo
-je ws</w>
-appro xim
-pu re
-portra its</w>
-cy rus</w>
-ation al
-lo ans</w>
-acqu is
-el u
-accep table</w>
-uni on
-water color</w>
-ru st</w>
-batt les</w>
-per fu
-seas onal</w>
-ser ial</w>
-mind set</w>
-ri ot</w>
-fel d</w>
-enni al</w>
-clo set</w>
-pri est</w>
-tan ks</w>
-int l</w>
-scre w</w>
-bu m</w>
-ab dul
-ou x</w>
-expla ined</w>
-ric a</w>
-imag ing</w>
-law yers</w>
-bu ried</w>
-ãĥ»ãĥ» ãĥ»</w>
-ear l</w>
-âĢ ķ</w>
-l ton</w>
-resto red</w>
-stri pes</w>
-fo ss
-de mands</w>
-ste aling</w>
-alex is</w>
-mun d</w>
-ak er
-ur us</w>
-war dro
-hu gs</w>
-gen re</w>
-e go</w>
-Ù Ħ
-particip ated</w>
-bab es</w>
-ban quet</w>
-ti ous</w>
-he mi
-ds b</w>
-lo st
-milwau kee</w>
-jen ner</w>
-ge m
-ou tra
-lo ses</w>
-id i</w>
-re ps</w>
-ðŁİ §</w>
-regu lation</w>
-fla w
-f ang
-vibr ant</w>
-ram p</w>
-ra ins</w>
-well being</w>
-so viet</w>
-vie wers</w>
-de po
-libr aries</w>
-bi go
-ser y</w>
-g ill
-de struction</w>
-co z</w>
-c x</w>
-bri dal</w>
-al ds</w>
-plan ted</w>
-amate ur</w>
-lu d
-che ering</w>
-show cas
-pro file
-i u
-ver tical</w>
-pack ers</w>
-wiz ard</w>
-ski p</w>
-s light</w>
-be au</w>
-air ways</w>
-mu ch
-re ra</w>
-ðŁĮ Ĭ</w>
-ab sor
-pati o</w>
-pack ages</w>
-s ells</w>
-ment ally</w>
-ðŁĺ ¢
-reyn olds</w>
-k are
-tri bun
-wal t</w>
-kn it</w>
-ta ste
-sur rey</w>
-boun ce</w>
-cre ature</w>
-b are</w>
-bet ting</w>
-su re
-mi ley</w>
-laugh s</w>
-al ore</w>
-cy n
-t l
-arti st
-ann ah</w>
-war mer</w>
-dynam ics</w>
-lunch time</w>
-mariti me</w>
-vulner able</w>
-ðŁĴ ĥ</w>
-wol ver
-dur ham</w>
-const antly</w>
-am in
-si bl
-: @</w>
-bul let
-k ach
-angel o</w>
-wil der
-doo m</w>
-desk top</w>
-law suit</w>
-k ca</w>
-hen derson</w>
-inv iting</w>
-bet ty</w>
-ta wards</w>
-ra fa
-le aked</w>
-and i</w>
-ge ms</w>
-af l</w>
-vel o
-mediter ran
-pro be</w>
-to tten
-steph anie</w>
-sn ation</w>
-com be</w>
-q s</w>
-over come</w>
-assas sin
-ra v
-fil ip
-winni peg</w>
-sh il
-determin ed</w>
-k as</w>
-ou tre
-regre t</w>
-gui des</w>
-aa a
-ðŁĺ Ī
-wi ves</w>
-mani fe
-er ly</w>
-sm y
-sh ima</w>
-x ing</w>
-pix el
-jac ob
-ac commod
-to y
-on o</w>
-po o</w>
-ti er
-an swe
-ðŁĴ ģ</w>
-ro sa</w>
-le ase</w>
-bel ongs</w>
-th ar
-eventu ally</w>
-nei ther</w>
-go a</w>
-ski ing</w>
-at ra</w>
-ag h</w>
-broad casting</w>
-f ury</w>
-py ram
-d ice</w>
-volk swag
-wom ens</w>
-provi der</w>
-bom bs</w>
-miss ile</w>
-whi p</w>
-d ick
-nor we
-back up</w>
-el der</w>
-mat ure</w>
-concer ts</w>
-gi ous</w>
-sque e
-good morning</w>
-bra ves</w>
-^ _
-au ssie</w>
-lun a</w>
-mal es</w>
-he ck</w>
-for tn
-rome o</w>
-steel ers</w>
-p n
-pe er</w>
-re presents</w>
-Â «</w>
-kat y</w>
-migu el</w>
-requ ire</w>
-cha ins</w>
-l ur
-immedi ate</w>
-ti mber
-âĸ¶ ï¸ı</w>
-advoc acy</w>
-ex port</w>
-an z
-tiff any</w>
-auth or
-ðŁİ Ī</w>
-du des</w>
-chil ly</w>
-hi d</w>
-har m</w>
-bu g
-mon ster
-terri er</w>
-tu c
-story telling</w>
-ta k</w>
-in ti
-immigr ants</w>
-b is</w>
-reach es</w>
-com passion</w>
-john ny
-contribu tions</w>
-ðŁIJ ¶
-mechan ical</w>
-impre ssion</w>
-ran ks</w>
-ko be</w>
-men ting</w>
-bloss om</w>
-pab lo</w>
-buil der</w>
-bom bing</w>
-tw el
-sul livan</w>
-om o
-pe te
-de mi</w>
-ku dos</w>
-w bb</w>
-t gif</w>
-mass ach
-neighb or</w>
-che fs</w>
-eng ines</w>
-pun e</w>
-ga ined</w>
-phan tom</w>
-s days</w>
-ext end</w>
-gr an</w>
-cent ers</w>
-jac qu
-dat asci
-sleep y</w>
-el vis</w>
-answe red</w>
-s lot</w>
-con y</w>
-flexi ble</w>
-ti ally</w>
-le tics</w>
-% ,</w>
-andre ws</w>
-si ble</w>
-mom ma</w>
-vin o</w>
-do x</w>
-invit ational</w>
-twil ight</w>
-j ade</w>
-ill ery</w>
-joh ns</w>
-f ou
-p v
--- -></w>
-break down</w>
-billi on
-prin ter</w>
-mon d
-c bc</w>
-mag gie</w>
-legi on</w>
-du b
-kur t</w>
-po or
-paren ting</w>
-regi ons</w>
-bikin i</w>
-be ware</w>
-si onal</w>
-au burn</w>
-kid ding</w>
-amp les</w>
-sp an</w>
-con tempor
-c ic
-ha bits</w>
-ak o</w>
-pre fe
-bud dies</w>
-it z
-em ily
-person nel</w>
-moun tain
-ver sus</w>
-ðŁĺ ¬</w>
-ear ning</w>
-s ink</w>
-dar i</w>
-u u</w>
-s win
-i ster</w>
-bru tal</w>
-n ac
-kat a</w>
-clo th</w>
-am and
-ðŁĶ Ĺ</w>
-ne o
-alu min
-week ends</w>
-nebra ska</w>
-co des</w>
-delay ed</w>
-brun o</w>
-pro ven</w>
-in c
-i ght
-fl an
-or o</w>
-lam bert</w>
-regu lat
-w f
-massach use
-kardashi an</w>
-bern ard</w>
-fi esta</w>
-volcan o</w>
-grand pa</w>
-anc a</w>
-d re</w>
-st itu
-mean ing
-fo am</w>
-au ck
-at ed
-r l</w>
-hot el
-pers ons</w>
-dy nasty</w>
-ell or</w>
-ma i</w>
-am ne
-sty ling</w>
-avi er</w>
-e g</w>
-vege tarian</w>
-, âĢ¦</w>
-foun ders</w>
-sta in</w>
-g d</w>
-cy cles</w>
-sky line</w>
-trac tor</w>
-exi sts</w>
-tra l</w>
-kid ney</w>
-mar il
-inst ag
-se tte</w>
-addic t</w>
-tri angle</w>
-flash back
-controversi al</w>
-z on</w>
-p ins</w>
-i as</w>
-tr ay</w>
-town ship</w>
-deleg ates</w>
-sp am</w>
-h ms</w>
-cr ane</w>
-peop les</w>
-o lo
-fac tion</w>
-but es</w>
-on ica</w>
-deleg ation</w>
-new profile
-eli er</w>
-mc a</w>
-w and
-g ely</w>
-losange les</w>
-ber ke
-ti ve
-dis rup
-zz a</w>
-cas a</w>
-jor dan
-ford shire</w>
-ga thered</w>
-ic hi</w>
-atten dees</w>
-à¸Ń à¸
-pe ppers</w>
-co in
-bour bon</w>
-ern ity</w>
-ro tary</w>
-behavi our</w>
-jere my
-team work</w>
-compli ance</w>
-tre mend
-ðŁĩ §
-bu hari</w>
-cam bo
-bu yers</w>
-ha gen</w>
-bu ds</w>
-bay ern</w>
-mon te</w>
-sm ells</w>
-an za</w>
-ath lon</w>
-descri bed</w>
-work force</w>
-gi ving
-ap i</w>
-invest ments</w>
-da il
-sel ena</w>
-datab ase</w>
-th um
-mor tal</w>
-stu dent
-bu yer</w>
-do ver</w>
-gar ten</w>
-att le
-loy alty</w>
-gen oci
-holo cau
-theat ers</w>
-ru ling</w>
-ven us</w>
-pat ent</w>
-ch un
-ab by</w>
-awa ke</w>
-mass acre</w>
-bang alore</w>
-break ing
-simm ons</w>
-ju sti
-hal e</w>
-ed chat</w>
-gg les</w>
-haw k
-mar king</w>
-head lines</w>
-stro m</w>
-co ve</w>
-breath taking</w>
-med als</w>
-hair cut</w>
-christ ine</w>
-tele graph</w>
-gujar at</w>
-ju ra
-can e</w>
-sho re
-propag anda</w>
-mu eller</w>
-.... ....</w>
-sa vi
-stom ach</w>
-thro ws</w>
-ta b</w>
-war m
-j ong</w>
-reno wned</w>
-hi r</w>
-ra is
-mush rooms</w>
-guaran teed</w>
-bo a</w>
-m j</w>
-revolu tionary</w>
-certi fication</w>
-bru ins</w>
-jo in
-w es</w>
-pas sport</w>
-c g</w>
-sex u
-cap able</w>
-w v</w>
-ton es</w>
-jac kets</w>
-ac compan
-spin ach</w>
-fore ver
-bla ir</w>
-wat ts</w>
-g l</w>
-cou ples</w>
-prairi e</w>
-newprofile pic</w>
-logi stics</w>
-massachuse tts</w>
-jagu ar</w>
-o id</w>
-we al
-under water</w>
-mo z
-y i</w>
-ma ths</w>
-myan mar</w>
-pre ps</w>
-suffe red</w>
-tr ace</w>
-wal i</w>
-ah hh</w>
-bor g</w>
-st itch</w>
-cu lin
-real ise</w>
-infe ction</w>
-discrimin ation</w>
-sh ame
-an kle</w>
-hu mid
-y t</w>
-brac ket</w>
-tru ck
-tri u
-ea ster
-commun ity
-post card</w>
-invol ving</w>
-ty ler
-car amel</w>
-over view</w>
-ex amples</w>
-integr ity</w>
-base ment</w>
-instru ments</w>
-ani um</w>
-at us</w>
-gh er</w>
-laun dry</w>
-achi eve
-gen eva</w>
-pr icing</w>
-hyder abad</w>
-beli ef</w>
-me ta
-j aw
-accoun ting</w>
-lead er
-cristi ano</w>
-cou ture</w>
-cy p
-vis ed</w>
-, ,,</w>
-k nu
-h ick
-break er</w>
-br am
-ra b
-mo or
-ham as</w>
-gradu ating</w>
-pupp ies</w>
-ak h
-ta h
-ach es</w>
-ri e
-op ini
-g ta
-re ign</w>
-tra gic</w>
-re ver
-p ill
-pine apple</w>
-tou ches</w>
-da re
-le ys</w>
-il o</w>
-inter iors</w>
-sc outs</w>
-bar t
-en zie</w>
-don o
-bro ck
-christi ans</w>
-ense mble</w>
-Â ·</w>
-cine mas</w>
-new port</w>
-air line</w>
-win ston</w>
-le igh
-cont ents</w>
-pre scri
-ur ge</w>
-tr out</w>
-fic ally</w>
-il ia</w>
-sub si
-are r</w>
-âļ¾ ï¸ı</w>
-w ounded</w>
-ðŁĻ Ĥ</w>
-pe pper
-ðŁĴ ŀ
-fit ted</w>
-af f</w>
-re sur
-thursday thoughts</w>
-z ero
-archae ology</w>
-di v</w>
-je e</w>
-i on
-awa iting</w>
-co zy</w>
-beauti es</w>
-bal d</w>
-dat a
-gri zz
-stal k</w>
-kin ds</w>
-cle ared</w>
-jess ic
-regu lar
-ali ens</w>
-plac e
-bo s
-bi zar
-thisi s
-ðŁĴ Ģ
-totten ham</w>
-ma fia</w>
-s lam
-ari ana</w>
-car roll</w>
-back pack</w>
-care y</w>
-uni v</w>
-r g</w>
-pe p</w>
-dig it
-tatt oos</w>
-ag on</w>
-volunte ering</w>
-diffe ren
-consu mption</w>
-ka thr
-head phones</w>
-t shirt</w>
-o b</w>
-ele ment</w>
-re tail
-sh ru
-al gori
-contain er</w>
-consci ous</w>
-fi l</w>
-com ing
-ra sh
-u rope</w>
-def ine</w>
-gi or
-femini st</w>
-flow ing</w>
-rout es</w>
-gl aci
-fer t
-somer set</w>
-ant es</w>
-twee ps</w>
-$ $</w>
-h our
-endange red</w>
-year sof
-ro h
-po pped</w>
-bac king</w>
-ba sil</w>
-bra ke</w>
-mon aco</w>
-lgbt q</w>
-pra gue</w>
-ut ility</w>
-cas si
-gate way</w>
-haun ted</w>
-sch ul
-ðŁİ µ</w>
-shou ld
-walking dead</w>
-comple ting</w>
-dann y
-montgom ery</w>
-pengu in</w>
-ss i</w>
-mer chandi
-ðŁij ij
-chur ch
-h ates</w>
-cap tain
-brea thing</w>
-ce t</w>
-fair ly</w>
-approach es</w>
-compan ion</w>
-surpri sing</w>
-kany e</w>
-pe y
-hin di</w>
-targe ted</w>
-lor ds</w>
-de ut
-di gging</w>
-ger man
-ru t
-ener gy
-close st</w>
-y un
-apo logi
-ภ±</w>
-s ack</w>
-ru p</w>
-dd y
-port al</w>
-d ough</w>
-b ats</w>
-ðŁĵ °</w>
-at ur
-graph er</w>
-pi res</w>
-mo tors</w>
-ðŁĮ ¹
-j c
-dan g</w>
-tu k</w>
-clu e</w>
-us c</w>
-pag e
-d less</w>
-bro ws</w>
-ju s</w>
-ad ing</w>
-re marks</w>
-oo m</w>
-car dio
-ste fan
-arm strong</w>
-âĢ¢ âĢ¢
-ni est</w>
-belgi an</w>
-bi op
-so y</w>
-lo f
-í ĥ
-q t</w>
-flashback friday</w>
-ce e</w>
-ģ à¸
-wre ck</w>
-mar ines</w>
-amend ment</w>
-wardro be</w>
-vo y</w>
-bur ned</w>
-guit ars</w>
-ra inf
-li fel
-ssi l</w>
-oun ce</w>
-exter nal</w>
-c key
-me sh</w>
-she ikh</w>
-inv itation</w>
-sugge sti
-pop corn</w>
-phenomen al</w>
-an onymous</w>
-tun a</w>
-chic ago
-o val</w>
-del y</w>
-loc als</w>
-( &</w>
-pro f
-no vel
-fin der</w>
-spar ks</w>
-la ven
-in fu
-nic ks</w>
-qu ant
-ra e</w>
-exe c</w>
-dist ingui
-st ances</w>
-mu tual</w>
-sh al
-unve ils</w>
-edmon ton</w>
-zan ia</w>
-a dio</w>
-vie wer</w>
-brad ford</w>
-audit orium</w>
-qu is
-re act</w>
-htt p</w>
-l ero
-chee ky</w>
-impac ts</w>
-ta k
-ed t</w>
-desper ate</w>
-t ay</w>
-ì Ħ
-sett le</w>
-bar gain</w>
-resu me</w>
-un ite
-thro wn</w>
-ke st</w>
-se ys</w>
-mar ching</w>
-am it
-decl ine</w>
-sch ar
-me tr
-stan ford</w>
-lin ke
-ber ra</w>
-dol ls</w>
-rug by
-jam i
-b or</w>
-road trip</w>
-dino saur</w>
-mi k
-sun der
-re m
-b k
-over seas</w>
-nau ghty</w>
-imple mentation</w>
-iam srk</w>
-lun cheon</w>
-fir ing</w>
-mi ami
-pere z</w>
-the e</w>
-z on
-gi fted</w>
-con version</w>
-ceram ic</w>
-¡ ï¸ı
-pe dro</w>
-ì Ĩ
-v ick
-! @</w>
-he ed</w>
-si d</w>
-b w</w>
-docu ment</w>
-pl un
-gr ants</w>
-fant asy
-predic tions</w>
-vali d</w>
-car ved</w>
-gradu ated</w>
-ðŁijį ðŁı»</w>
-nation ally</w>
-ch y
-af l
-re sso</w>
-blan k</w>
-ri vals</w>
-j ig
-e ties</w>
-om ics</w>
-une mp
-b ound
-sk o
-inspec tion</w>
-par al
-high s</w>
-cri sp</w>
-b ans</w>
-ob a</w>
-[ @</w>
-co spla
-costu mes</w>
-rec all</w>
-mou th
-ni gel</w>
-b ts
-ter a</w>
-ko v</w>
-do cs</w>
-west minster</w>
-dic t</w>
-gra vity</w>
-kar i</w>
-ro gue</w>
-t ted</w>
-war k</w>
-ida ho</w>
-w end
-aw i</w>
-queen sland</w>
-proce sses</w>
-cli ffe</w>
-m ick
-com pens
-op ol
-the y
-cl ari
-wiki pedia</w>
-salman khan</w>
-haz ard</w>
-pre ston</w>
-swee test</w>
-pd f</w>
-che es
-tr ilo
-south africa</w>
-bur nt</w>
-( $</w>
-con tain</w>
-t p</w>
-sub mitted</w>
-sound cloud</w>
-at u
-re z</w>
-word press</w>
-corru pt</w>
-n f
-ma ker
-í ķ
-par as
-adv ent</w>
-ri al</w>
-ca fe
-fo ssil</w>
-!!!! !!!</w>
-co ws</w>
-c j</w>
-sp ur
-institu tions</w>
-land mark</w>
-ent it
-re ut
-h is
-alz heim
-we mb
-regg ae</w>
-mo squ
-st at</w>
-identi fied</w>
-deal er</w>
-re am</w>
-re land</w>
-ten sion</w>
-ðŁĩ ©
-wra pping</w>
-deep er</w>
-fr at
-red dit</w>
-ar is</w>
-moroc co</w>
-.. "</w>
-b low
-ma pping</w>
-pri orities</w>
-ing a</w>
-swa p</w>
-re wards</w>
-conspir acy</w>
-creati ve
-c j
-congre ssional</w>
-vau lt</w>
-ple x</w>
-sophom ore</w>
-shad ow
-ele ss
-ðŁĺ ħ
-dar ts</w>
-aldu b</w>
-anno ying</w>
-pro ps</w>
-n as</w>
-alumin um</w>
-h bo</w>
-offen se</w>
-j ill</w>
-oni ons</w>
-la ur
-ta e
-har dest</w>
-sh ro
-ga ining</w>
-meas ure
-ed tech</w>
-cyp rus</w>
-tar a</w>
-ang eli
-car lo</w>
-go on</w>
-all i</w>
-im plic
-ju pit
-resil ience</w>
-ha il
-bal anced</w>
-) ...</w>
-joy ce</w>
-gr a</w>
-th eli
-defin ed</w>
-shi pped</w>
-main ly</w>
-min a</w>
-l m</w>
-sac ri
-o ber
-p im
-claim ing</w>
-ent ers</w>
-co rey</w>
-bo k</w>
-cri ed</w>
-cool ing</w>
-dani elle</w>
-pharmac y</w>
-thor ough
-ca ke
-k lo
-outre ach</w>
-z ens</w>
-digital marketing</w>
-val ent</w>
-sn p</w>
-her b</w>
-mr w</w>
-caf é</w>
-cap tures</w>
-no tre</w>
-triu mph</w>
-pan cakes</w>
-cu mber
-spi ke</w>
-d ation</w>
-bi gg
-sp er</w>
-crit ical
-am al
-too th
-foun ding</w>
-a stro</w>
-' #</w>
-quan tum</w>
-th ames</w>
-un c</w>
-pri de
-air bus</w>
-kno cked</w>
-un defeated</w>
-mediterran ean</w>
-cal cu
-clo wn</w>
-sens or</w>
-ham mer
-for give</w>
-cu shi
-ber ry
-maje stic</w>
-elec t</w>
-polit an</w>
-g ta</w>
-k ari
-bur ke</w>
-sea hawks</w>
-volkswag en</w>
-re i
-landsc apes</w>
-cas u
-grand father</w>
-list ened</w>
-/ /
-star trek</w>
-rainf all</w>
-fur ry</w>
-vi er
-star k</w>
-rif le</w>
-ff a</w>
-leg es</w>
-hillary clinton</w>
-min us</w>
-correc tly</w>
-architec tural</w>
-pre ce
-up side</w>
-box er</w>
-ðŁĻĮ ðŁı¼</w>
-is ai
-de t</w>
-pro vo
-tis sue</w>
-spoo ky</w>
-ve led</w>
-re con
-prospec ts</w>
-que bec</w>
-âļ «
-ig no
-anat omy</w>
-shap es</w>
-w p
-p interest</w>
-hor e</w>
-an es</w>
-pick up</w>
-ti p
-pra desh</w>
-hu gh</w>
-co e</w>
-po k
-gram my</w>
-well ington</w>
-sti gate</w>
-ri gh
-lea p</w>
-king ston</w>
-scen ic</w>
-go sh</w>
-v ani
-au g
-s ary</w>
-zi er</w>
-bure au</w>
-lin son</w>
-con te
-fra gr
-all an</w>
-g aw
-lan a</w>
-colli sion</w>
-surve ill
-ren ais
-ar range
-s ali
-do in</w>
-br ance</w>
-bren dan</w>
-our se</w>
-in coming</w>
-suspen sion</w>
-à ´
-l la</w>
-educ ators</w>
-in tri
-da e</w>
-bio graphy</w>
-bul gar
-villa in</w>
-go thic</w>
-rw anda</w>
-e w</w>
-may or
-meet up</w>
-democr at</w>
-mor gan
-su dden</w>
-te sco</w>
-car rot</w>
-bom ber</w>
-mck in
-re ne
-fun day</w>
-agricul tural</w>
-haha h</w>
-show time</w>
-form ing</w>
-col a</w>
-scor pi
-quo te
-po ppy</w>
-s life</w>
-d az
-tu b</w>
-ne n</w>
-mo t</w>
-ðŁĺ »
-s ore</w>
-elder ly</w>
-o ve</w>
-skin ny</w>
-um i</w>
-anc o</w>
-man ship</w>
-we re
-g v
-k ah</w>
-fol ding</w>
-ne at</w>
-samanth a</w>
-dan ish</w>
-uk rain
-humid ity</w>
-nu tri
-jak arta</w>
-cand les</w>
-oooo oooo
-at ile</w>
-streng th
-i bra
-bap ti
-charle ston</w>
-fr ames</w>
-girl s
-clear ing</w>
-glu ten
-# #</w>
-super natural</w>
-ju bi
-ph one
-he in
-dr un
-le ak</w>
-invest or</w>
-y er
-dom ain</w>
-ball room</w>
-mi sh
-app li
-off shore</w>
-bla ze</w>
-dor o
-âĺķ ï¸ı</w>
-win ery</w>
-shar if</w>
-ad ore</w>
-n ir
-saf er</w>
-si gh</w>
-as cri
-strong ly</w>
-trac y</w>
-ck er
-ol l</w>
-faith ful</w>
-ey ed</w>
-deli ghtful</w>
-vis m</w>
-karnat aka</w>
-tit an</w>
-wh ar
-jer seys</w>
-re fur
-heav en
-gri p</w>
-pan ama</w>
-pre li
-glu ten</w>
-o dd
-cont ent
-pon ti
-tion ing</w>
-e commerce</w>
-feder ation</w>
-flaw less</w>
-ge ar
-ti res</w>
-by r
-pol ice
-cu ban</w>
-tri butes</w>
-tic ul
-chur ches</w>
-nur sery</w>
-di aries</w>
-muse ums</w>
-snapp ed</w>
-i van
-wi ght</w>
-touri sts</w>
-ramad an</w>
-t rent</w>
-prophe t</w>
-won dered</w>
-focu sing</w>
-hi d
-ic ons</w>
-i q
-ambul ance</w>
-pi st
-fun niest</w>
-time less</w>
-sr ilan
-bu ys</w>
-ki ds
-colour ful</w>
-a shi
-ch ir
-mu m
-ðŁĵ ļ</w>
-let ter
-x en
-reut ers</w>
-pre serve</w>
-in ting</w>
-ste p
-fu ji
-uni ver
-i u</w>
-show down</w>
-po ems</w>
-surveill ance</w>
-suspec ted</w>
-ta e</w>
-sol ving</w>
-tom b</w>
-mother sday</w>
-car pen
-recru it</w>
-pil ots</w>
-bro c
-mix ing</w>
-fri days</w>
-ty r
-represent atives</w>
-tra pped</w>
-abdu l</w>
-free style</w>
-clu ster</w>
-âļ łï¸ı</w>
-k d</w>
-sk ill
-pit t</w>
-ex o
-commer ci
-muse um
-loc ally</w>
-g ina</w>
-no bel</w>
-immun e</w>
-fr ac
-cap su
-main ed
-attemp ts</w>
-bull dog</w>
-be spoke</w>
-sing ers</w>
-sp elling</w>
-seg ment</w>
-nat ures</w>
-tic k</w>
-lip stick</w>
-clean er</w>
-gett able</w>
-preci sion</w>
-âĢ¼ ï¸ı
-th ood</w>
-re ef</w>
-no pe</w>
-bill y
-di gi
-mu si
-ri val</w>
-figu red</w>
-tal ity</w>
-sun ny
-ber k
-aw ww</w>
-awa its</w>
-un real</w>
-co pen
-asy lum</w>
-ex otic</w>
-bu en
-mo ck
-en able</w>
-arch y</w>
-fr a</w>
-pla stic
-al mond</w>
-amp li
-displa ys</w>
-abbo tt</w>
-s me</w>
-x p</w>
-ðŁĻ ĥ</w>
-graph ic
-i ved</w>
-mar a</w>
-cau tion</w>
-lea ks</w>
-en berg</w>
-ul u</w>
-unic orn</w>
-cann on</w>
-appren tic
-ðŁĺĺ ðŁĺĺ
-b ball</w>
-wil low</w>
-at ics</w>
-am as</w>
-manufac turer</w>
-campaig ns</w>
-port ers</w>
-flo ors</w>
-l su</w>
-ty pe
-ke j
-honor ary</w>
-it im
-to le
-min ecraft</w>
-d x</w>
-ma sh</w>
-ri o
-consequ ences</w>
-ron ald</w>
-go ssi
-suffol k</w>
-mu se</w>
-r bi</w>
-live music</w>
-i van</w>
-ðŁİ ¤</w>
-le u
-patri ot</w>
-man it
-lan ca
-home decor</w>
-de ar
-sig ma</w>
-ti de
-str ings</w>
-v ita</w>
-sequ el</w>
-try na</w>
-inve stigate</w>
-bor is</w>
-ve gan
-barri er</w>
-mind fulness</w>
-web b</w>
-hu stle</w>
-in da</w>
-tan zania</w>
-str ay</w>
-tex as
-c ag
-diagno sis</w>
-wom an
-g w</w>
-ob session</w>
-l ative</w>
-nu fc</w>
-fl ynn</w>
-moment um</w>
-sof a</w>
-wal d</w>
-vege table</w>
-tu cker</w>
-supp er</w>
-se ab
-ar ro
-se ag
-ven ting</w>
-counc ill
-sp lat
-cal cul
-.. #</w>
-com fy</w>
-odi sha</w>
-sto pp
-war fare</w>
-ca es
-à ¨
-co y</w>
-price less</w>
-in sec
-ðŁĺ Ľ</w>
-contro ls</w>
-empower ment</w>
-datasci ence</w>
-per pe
-gen ic</w>
-e res</w>
-tru deau</w>
-man o
-sla very</w>
-expand ing</w>
-ma he
-fa iling</w>
-s aga</w>
-photograph s</w>
-cre st</w>
-re on</w>
-surf ing</w>
-hi e</w>
-ðŁį Ģ</w>
-ja e</w>
-fel lows</w>
-south ampton</w>
-sol om
-ce ster
-tab ility</w>
-hor n
-se ct</w>
-he e</w>
-cole man</w>
-at las</w>
-explo rer</w>
-consul tation</w>
-copy right</w>
-organi zing</w>
-den ied</w>
-mon keys</w>
-noo dles</w>
-br is</w>
-fl or
-dou gh
-bon ds</w>
-sho cked</w>
-eco system</w>
-care fully</w>
-w m</w>
-apart ments</w>
-cur ve</w>
-san diego</w>
-must ard</w>
-comm en
-cere mon
-e ch
-ru th
-ðŁĻĮ ðŁı»</w>
-hawa i
-fil med</w>
-te ar
-as ingly</w>
-ca ir
-wat t</w>
-instru ment</w>
-ou tta</w>
-ye ol</w>
-river side</w>
-ë °
-. :</w>
-nor wich</w>
-alo g</w>
-migr ants</w>
-new man</w>
-ri de
-spr ink
-targe ting</w>
-beli eve
-tor ch</w>
-reflec ts</w>
-per mission</w>
-ff man</w>
-ene mies</w>
-bas ics</w>
-se ized</w>
-sun days</w>
-le i
-hass an</w>
-en do</w>
-h c
-st ad
-le ments</w>
-kk kk
-nan o
-shar k
-man a</w>
-on ic
-treat ments</w>
-ear ly
-collabor ative</w>
-shu ttle</w>
-bran ches</w>
-mis ses</w>
-mained cm</w>
-ap ers</w>
-ky le
-carri e</w>
-leis ure</w>
-sh et
-bir ding</w>
-adv ances</w>
-ðŁĵ Ŀ</w>
-popu lar
-di ane</w>
-a be
-re war
-neigh bour
-k pop</w>
-remem brance</w>
-play ground</w>
-ru b
-krish na</w>
-e bola</w>
-inqu iry</w>
-ep a</w>
-lu min
-organ isation</w>
-abra ham</w>
-norm ally</w>
-pre ten
-jan et</w>
-w t
-ðŁĴ İ</w>
-encoura ging</w>
-a stic</w>
-bu mp</w>
-syd ney
-s z</w>
-ss ss</w>
-gar rett</w>
-ðŁĵ »</w>
-consul ting</w>
-roman ia</w>
-spo tting</w>
-chanc ellor</w>
-ar ma
-presti gious</w>
-ðĿ IJ
-t ad
-cry st
-compe tit
-rati o</w>
-cat aly
-bro w</w>
-j ur
-vi king</w>
-commu te</w>
-y day</w>
-la yers</w>
-du mb
-esc al
-genoci de</w>
-f ill
-gu pta</w>
-ste pping</w>
-se i</w>
-fo to
-wild cats</w>
-col i</w>
-projec t
-ear nings</w>
-st r</w>
-ge ons</w>
-comple tion</w>
-b m</w>
-decor ated</w>
-craw ford</w>
-af ghan</w>
-sc are</w>
-visi bility</w>
-hi b
-direc tion
-stro ll</w>
-christ ina</w>
-alter nate</w>
-cl are</w>
-sty list</w>
-be hold</w>
-s ance</w>
-leop ard</w>
-acqui red</w>
-narr ative</w>
-ash i</w>
-the a
-?? ??
-pe as</w>
-at ch</w>
-sli des</w>
-le en</w>
-renew able</w>
-eng lish
-qu ir
-co aster</w>
-r x</w>
-fo ols</w>
-match day</w>
-mis m</w>
-amaz ing
-z ig
-ke ting</w>
-won t</w>
-to wel</w>
-di ab
-sta ke
-n m
-mel t</w>
-e than</w>
-gra pe</w>
-polit ician</w>
-sm en</w>
-í ĺ
-re o
-wedd ings</w>
-cat cher</w>
-or acle</w>
-me mo
-ðŁĮ ´</w>
-ec k</w>
-rob bie</w>
-norwe gian</w>
-oper ator</w>
-am or</w>
-se wing</w>
-ju l</w>
-x ie</w>
-u v</w>
-fif ty</w>
-me ga
-tatt oo
-liber als</w>
-u pri
-traffic king</w>
-richard son</w>
-su v</w>
-ki p</w>
-mess y</w>
-tremend ous</w>
-gl ou
-cour tney</w>
-la d
-stere o
-my ers</w>
-i dio
-^_ ^</w>
-man ning</w>
-dy e</w>
-w d
-thr one</w>
-jun k</w>
-as u</w>
-provin cial</w>
-k ook</w>
-wr c</w>
-fine art</w>
-hamp shire</w>
-renais sance</w>
-b red</w>
-fall out</w>
-s j</w>
-sn l</w>
-al am</w>
-tor ture</w>
-fy i</w>
-sh ines</w>
-pa w</w>
-ch ar</w>
-hen ry
-c row</w>
-aci ous</w>
-di an
-pa ige</w>
-ba re
-stock holm</w>
-scen ery</w>
-ðŁĩ ·
-jef frey</w>
-pu sh
-decor ation</w>
-ne d
-cu te
-brig ade</w>
-laven der</w>
-inv ites</w>
-e sports</w>
-vo ir</w>
-dri ed</w>
-tran spl
-sur geon</w>
-no vels</w>
-pul ls</w>
-son y
-lun ar</w>
-man e</w>
-i vy</w>
-fru str
-dor set</w>
-sa i
-tor res</w>
-ssi on
-shut down</w>
-suggesti ons</w>
-writ ing
-e o
-battle field</w>
-u ga</w>
-ðŁIJ ¾
-vac u
-spl ac
-g it
-u g</w>
-high land</w>
-% )</w>
-mer maid</w>
-sacram ento</w>
-ta ils</w>
-p w</w>
-ka h
-t ell
-enh anced</w>
-ì ķ
-auck land</w>
-cru el
-ðŁ¤ ©</w>
-au dre
-sail or</w>
-gram mar</w>
-g love</w>
-de on</w>
-infl am
-fresh ly</w>
-k ell
-zi p</w>
-christi e</w>
-mil d</w>
-di xon</w>
-instru ctor</w>
-g ence</w>
-ãħ ł
-sub jec
-constitu tional</w>
-crow ds</w>
-in visible</w>
-ru ins</w>
-da k</w>
-si p</w>
-pla que</w>
-p ouring</w>
-comple x
-z ine</w>
-ste ad
-f let
-trans mission</w>
-lo way</w>
-ar un
-incre asingly</w>
-au d
-transp aren
-cro wned</w>
-sc oun
-blizz ard</w>
-lux u
-fi ers</w>
-achieve ments</w>
-hun ters</w>
-rock ed</w>
-bas in</w>
-vio let</w>
-pro ves</w>
-achiev ing</w>
-pro sper
-se ga</w>
-flo at</w>
-vi an</w>
-xi v</w>
-pol ic
-tur a</w>
-approxim ately</w>
-wander lust</w>
-keep ers</w>
-geta way</w>
-co d
-pol is</w>
-br yan
-col ts</w>
-tal ents</w>
-yo gur
-gluten free</w>
-wri st</w>
-gr y
-cze ch</w>
-ðŁİ Ī
-ev ille</w>
-ðŁı Ī
-to x</w>
-dani els</w>
-am er</w>
-bi ds</w>
-weare one
-me tab
-g t
-boy z</w>
-pd x</w>
-pos session</w>
-pu shed</w>
-shr ine</w>
-reali stic</w>
-tri gger</w>
-na vi
-ru mors</w>
-n af
-jen kins</w>
-tr un
-comm uni
-Ã Ĺ</w>
-gam ers</w>
-arm or</w>
-moham med</w>
-bal cony</w>
-y ah
-stron gest</w>
-rhy thm</w>
-unfor gettable</w>
-k p
-ho bb
-custo dy</w>
-greg or</w>
-r ita</w>
-aes thetic</w>
-il ation</w>
-sponsor ing</w>
-n ay</w>
-kid napp
-sh s</w>
-ra jas
-me g</w>
-signific antly</w>
-butt ons</w>
-la c</w>
-ver sions</w>
-essenti als</w>
-opini ons</w>
-k ro
-d printing</w>
-wi dely</w>
-d k</w>
-ur an</w>
-y al
-reque sted</w>
-c n</w>
-cur ric
-plu m</w>
-gr un
-v m
-dev on
-m yo
-rel ation</w>
-juvent us</w>
-rou ge</w>
-min ority</w>
-min es</w>
-jupit er</w>
-n ine
-oxy gen</w>
-fran kie</w>
-une sco</w>
-fab ric
-disgu sting</w>
-sal man</w>
-dete ction</w>
-lan ka</w>
-d ac
-ðŁĩ« ðŁĩ·</w>
-argu ment</w>
-shel ves</w>
-cel tics</w>
-rober to</w>
-pi gs</w>
-he dge
-fau l
-pow ering</w>
-butter flies</w>
-fi r</w>
-re make</w>
-att i</w>
-com o</w>
-emp ha
-kend all</w>
-poke mon
-se ating</w>
-d ans</w>
-bald win</w>
-ðŁij »</w>
-lesli e</w>
-one direction</w>
-ti mber</w>
-im an</w>
-fon t</w>
-e der</w>
-di on</w>
-ste ph</w>
-for mat
-gre gory</w>
-pro p</w>
-he x
-ru in</w>
-sor y</w>
-inf er
-n aw
-bar ak</w>
-sd gs</w>
-kar ao
-lu sh</w>
-v ander
-end ent</w>
-g is
-a fro
-soc cer
-ay an</w>
-t uni
-lun g</w>
-da yof
-alex a</w>
-mar ath
-addic ted</w>
-ag ile</w>
-hy gi
-light weight</w>
-ì §
-mand ela</w>
-jo ey
-anc y
-hu m</w>
-bi r</w>
-memor ial
-jim in</w>
-ging er
-v ak
-jav ascri
-cro ps</w>
-orig ins</w>
-d ari
-pi per</w>
-im port</w>
-aggre ssive</w>
-predic tion</w>
-re pairs</w>
-cr acker</w>
-voy age</w>
-ni ke
-mu mmy</w>
-linke din</w>
-country side</w>
-bor der
-gla ss
-per t</w>
-s als</w>
-sho e
-autograph ed</w>
-wal nut</w>
-colle gi
-sal ary</w>
-pa iring</w>
-ðŁĮ ¸
-cath ol
-swee the
-defe ats</w>
-streng then</w>
-roof top</w>
-impro vements</w>
-barri ers</w>
-ur u
-t ally</w>
-ru led</w>
-ðŁĨ ļ</w>
-nai ja</w>
-emo ji</w>
-per cent
-gi o
-pro bs</w>
-on ce
-adm its</w>
-pa ths</w>
-li ar</w>
-day tona</w>
-pe ters</w>
-cal i</w>
-cal li
-mu g
-o sa
-ap h
-ab y
-hy de</w>
-eth nic</w>
-pla ins</w>
-ol f</w>
-haha hahaha</w>
-holi c</w>
-?! ?!</w>
-su bli
-bl acks</w>
-mo t
-gh ton</w>
-lo vin</w>
-b rent</w>
-bar u</w>
-l ati
-de w</w>
-ate au</w>
-q a</w>
-pain ful</w>
-bu sters</w>
-st atic</w>
-ðŁĩ¨ðŁĩ ¦</w>
-note book</w>
-out fits</w>
-si es</w>
-r f</w>
-floo ds</w>
-Ñ Ģ
-thro at</w>
-su ici
-ro vers</w>
-beng al</w>
-pre pares</w>
-blo g
-mini ature</w>
-Ø ¨
-am phi
-com b</w>
-r sp
-in timate</w>
-green e</w>
-Ì ĩ</w>
-al tar</w>
-surg ical</w>
-ves sel</w>
-... ?</w>
-gav in</w>
-g ator</w>
-threat ened</w>
-z ar</w>
-rob bery</w>
-di er</w>
-promo ted</w>
-y g</w>
-x s</w>
-su bs</w>
-inter viewing</w>
-threat ening</w>
-do zen</w>
-me ado
-water fall</w>
-nintendo switch</w>
-cal um</w>
-mini sters</w>
-dro p
-univers ities</w>
-war ned</w>
-tac tics</w>
-ðŁĩ ²
-refu se</w>
-ad ju
-v ast</w>
-ðŁĺ ´</w>
-mc fc</w>
-lib ya</w>
-no filter</w>
-distribu ted</w>
-re ser
-ron nie</w>
-de co</w>
-javascri pt</w>
-mon k</w>
-intere sts</w>
-fle x
-mar tha</w>
-sti es</w>
-oo d
-ðŁ¤£ ðŁ¤£
-e un
-b ali
-g omez</w>
-sti mul
-moder ate</w>
-d ity</w>
-ir is</w>
-stra w</w>
-consist ent</w>
-direc tions</w>
-adop t
-sal sa</w>
-cro o
-reco vered</w>
-black friday</w>
-lan caster</w>
-accep t
-weareone exo</w>
-buil ds</w>
-free man</w>
-air plane</w>
-diti on
-bel ong
-jam ie
-pit ching</w>
-li f
-om in
-cri spy</w>
-pre pping</w>
-ve g</w>
-chan g</w>
-accompli shed</w>
-graci as</w>
-dolph in</w>
-elec tor
-culin ary</w>
-super bowl</w>
-wal a</w>
-pur suit</w>
-black berry</w>
-be an
-cardin al</w>
-pro ved</w>
-immigr ant</w>
-stric tly</w>
-holocau st</w>
-pass age</w>
-ha us</w>
-cou p</w>
-pur se</w>
-har ass
-< <</w>
-le ed
-ado be</w>
-st ad</w>
-legis lat
-par ked</w>
-pri yan
-sil va</w>
-kri st
-s the
-fun ky</w>
-ig a</w>
-sett lement</w>
-ph s</w>
-t mrw</w>
-stre ssed</w>
-hun t
-ho ckey
-treas ures</w>
-cham bers</w>
-ol u
-hu t</w>
-mar ley</w>
-tex ture</w>
-wilder ness</w>
-mm ing</w>
-poten tially</w>
-om aha</w>
-ju dy</w>
-to es</w>
-spo iler</w>
-distingui shed</w>
-feli x</w>
-ah u</w>
-recommend ations</w>
-zom bies</w>
-hit ler</w>
-tri ple
-colla pse</w>
-motiv ated</w>
-ulti mat
-gg ling</w>
-so y
-ci gar</w>
-fo ren
-vine yard</w>
-gl itter</w>
-fin dings</w>
-colon ial</w>
-hun ter
-eri k</w>
-den s</w>
-beet le</w>
-lot te
-sub tle</w>
-s matter</w>
-tru sted</w>
-experim ental</w>
-nam ents</w>
-ðŁĺ Ĩ
-regi on
-acquis ition</w>
-bre eding</w>
-quarter back</w>
-am reading</w>
-oo td</w>
-ru de</w>
-initi atives</w>
-st out</w>
-hy ung</w>
-out come</w>
-al fred</w>
-mic s</w>
-exper tise</w>
-bacter ia</w>
-pengu ins</w>
-jump er</w>
-valen cia</w>
-bar k</w>
-ing day</w>
-sell ers</w>
-contrac ts</w>
-hou ston
-commissi oned</w>
-adap tation</w>
-swan sea</w>
-santi ago</w>
-common wealth</w>
-ju dging</w>
-sub mission</w>
-sco rer</w>
-tom my
-ñ o</w>
-ex quis
-fil ing</w>
-explan ation</w>
-alli son</w>
-wemb ley</w>
-ri dge
-chev y</w>
-san tos</w>
-own ership</w>
-cogn itive</w>
-favour ites</w>
-sh ed
-phil anthro
-dele ted</w>
-go dd
-s nor
-gui delines</w>
-ff ing</w>
-je ep
-cli ps</w>
-sw amp</w>
-an or</w>
-guil d</w>
-bol ton</w>
-spring field</w>
-munici pal</w>
-goal keeper</w>
-ye on</w>
-ðŁĺįðŁĺį ðŁĺįðŁĺį
-ãħĭ ãħĭ
-water front</w>
-gra ve
-contempor ary
-ar ity</w>
-ÃŃ a</w>
-sle eps</w>
-sy rup</w>
-al am
-pi re
-co yo
-moto gp</w>
-ty son</w>
-kej ri
-cir cul
-sing ly</w>
-cr unch</w>
-complic ated</w>
-nostal gia</w>
-k op
-mo ve
-k ale</w>
-mac ro</w>
-mid west</w>
-h ans</w>
-tri bal</w>
-nu de</w>
-௠į</w>
-bey once</w>
-congratul ate</w>
-cat er
-leagu e
-ðŁĻ Ĭ</w>
-la dder</w>
-cra shed</w>
-tech nic
-karao ke</w>
-harass ment</w>
-ro ts</w>
-experi encing</w>
-kri sten</w>
-ðŁĩ ³
-ðŁ¤ Ĺ
-reflec tions</w>
-guin ness</w>
-illustr ator</w>
-ðŁĻı ðŁı»</w>
-cen ter
-nar row</w>
-comm ons</w>
-regul ations</w>
-Ù Ĩ
-har m
-cro ft</w>
-cu ssion</w>
-hong kong</w>
-st ical</w>
-intern ship</w>
-zo e</w>
-cho p</w>
-hoo ds</w>
-estim ated</w>
-batter ies</w>
-berke ley</w>
-smooth ie</w>
-shau n</w>
-cro s
-~ ~</w>
-cam pe
-hu mp
-b g
-proto type</w>
-cl ick
-shaw n
-re viewed</w>
-tem pl
-p f
-jed i</w>
-blo gs</w>
-ray mond</w>
-as th
-ba h</w>
-av ail</w>
-scot ch</w>
-leaf s</w>
-nik ki</w>
-to k
-hol low</w>
-ur ges</w>
-of t</w>
-un like</w>
-lat in
-u e
-cat ering</w>
-mil i
-alter nati
-ma ver
-Ð ¸
-ag le</w>
-pre order</w>
-lu x</w>
-cu cu
-ðŁijı ðŁijı</w>
-t art
-âĿ¤âĿ¤ âĿ¤</w>
-arab ic</w>
-rapi dly</w>
-ar rang
-all en
-travel tuesday</w>
-pa ws</w>
-flo ws</w>
-st ability</w>
-flu id</w>
-ca pp
-can berra</w>
-uu uu
-sp ani
-demon stration</w>
-m la</w>
-plac ement</w>
-m w
-presi dents</w>
-awe som
-bever ly</w>
-ani st</w>
-ne al</w>
-father sday</w>
-referen dum</w>
-la hore</w>
-o aks</w>
-deb bie</w>
-half way</w>
-gho sts</w>
-de bor
-matthe ws</w>
-fi at</w>
-t fw</w>
-pre sen
-rob i</w>
-de d
-bro ck</w>
-laugh ed</w>
-am ounts</w>
-bam boo</w>
-kinder garten</w>
-eat en</w>
-mtv hottest</w>
-break out</w>
-u sic</w>
-fra ser</w>
-legis lative</w>
-p ang
-modu le</w>
-sam my</w>
-go ver</w>
-ear ns</w>
-expe dition</w>
-gar h</w>
-concep ts</w>
-char lie
-la va</w>
-bachel or</w>
-veg gies</w>
-deter mine</w>
-el lie</w>
-un locked</w>
-fru it
-dal la
-cou pe</w>
-wash ington
-depo sit</w>
-iv ory</w>
-pau la</w>
-chic ag
-gu cci</w>
-ðŁİ ĥ</w>
-cul tiv
-pier ce</w>
-li fted</w>
-stu mb
-re cover</w>
-musc les</w>
-conduc ting</w>
-cb s
-mcla ren</w>
-sophi a</w>
-cel lu
-oce ans</w>
-up loaded</w>
-game play</w>
-mal dives</w>
-kim ber
-avo i
-rac er</w>
-ca ine</w>
-cav s</w>
-h ana</w>
-li ga</w>
-ra ven</w>
-inter vention</w>
-inaugur ation</w>
-oo h</w>
-at traction</w>
-merchandi se</w>
-tune in</w>
-li king</w>
-juni ors</w>
-int ended</w>
-att acking</w>
-aqu arium</w>
-i wd</w>
-comp onents</w>
-sur ing</w>
-cent u
-yogur t</w>
-ðŁı ĥ
-show room</w>
-op tical</w>
-ty our
-ju dge
-yi eld</w>
-an to
-pl c</w>
-transparen cy</w>
-recy cled</w>
-chi ef
-ar om
-ambassad ors</w>
-plan et
-âĿĦ ï¸ı
-om ed</w>
-vaness a</w>
-cour t
-mar gar
-hal ey</w>
-v r
-reg ina</w>
-pd ates</w>
-hi span
-live stream</w>
-âģ £</w>
-ya hoo</w>
-gal la
-secu red</w>
-w ir
-bene ath</w>
-off l</w>
-n il
-am b</w>
-ye g
-out let</w>
-u te
-pe ep</w>
-lind say</w>
-bent ley</w>
-... !</w>
-he el</w>
-trilo gy</w>
-vo s</w>
-ty re</w>
-there fore</w>
-tor onto
-ab i
-simp li
-ja e
-exten sive</w>
-eleph ants</w>
-s or</w>
-orient ation</w>
-im peach
-re play</w>
-constru cted</w>
-peter son</w>
-pa is
-por ted</w>
-custom s</w>
-colla p
-ad u
-high lands</w>
-sal em</w>
-shel by</w>
-ko vic</w>
-stra in</w>
-ro sie</w>
-sen ators</w>
-snap s</w>
-bo bb
-suz uki</w>
-bla des</w>
-k p</w>
-lo lo
-gener ate</w>
-si ght
-ma e
-struc tural</w>
-predic t</w>
-jump ed</w>
-ah mad</w>
-sun g
-just ice
-gla m</w>
-vol vo</w>
-jubi lee</w>
-de tention</w>
-lo sses</w>
-pu ri
-every time</w>
-Ð °
-ra o</w>
-ed ge
-li mer
-rese mb
-har old</w>
-re tri
-sacri fic
-surpri ses</w>
-am c</w>
-srilan ka</w>
-bar bie</w>
-men s
-fin n</w>
-ag s</w>
-ukrain ian</w>
-em brac
-î IJ
-flav ors</w>
-hom er</w>
-lau re
-ou th
-pr iced</w>
-ver de</w>
-fir m
-ah s</w>
-cu b
-tre y</w>
-par anor
-pro fit
-in dv
-who a</w>
-har sh</w>
-al ot</w>
-crit ics</w>
-hu bby</w>
-fi gur
-gi ra
-ca stro</w>
-chan el</w>
-in put</w>
-origin als</w>
-ten ant</w>
-yy yy</w>
-ture rs</w>
-lincol n
-co on</w>
-lear n
-ch ou
-ac are</w>
-o les</w>
-din er</w>
-hy p
-bizar re</w>
-mc r</w>
-let sgo
-decor ating</w>
-ðŁĮ İ</w>
-al ison</w>
-ar vin
-f d
-reha b</w>
-mccar thy</w>
-lot tery</w>
-da h
-minne apolis</w>
-eli gible</w>
-diagno sed</w>
-emer ald</w>
-destin ations</w>
-s ans</w>
-or y
-bla zers</w>
-n v</w>
-ba il</w>
-digital art</w>
-no c
-mal ta</w>
-sol ar
-pi pes</w>
-alleg ations</w>
-no ck</w>
-po pe
-bri d
-premi er
-n x</w>
-present ations</w>
-ef a</w>
-bo ws</w>
-val ve</w>
-opp onent</w>
-Į ë
-visu al
-ing le</w>
-cate gor
-e ter</w>
-po is
-dan i</w>
-at tract</w>
-neu tral</w>
-th ene
-cra shes</w>
-fred die</w>
-ut ili
-c st</w>
-awak ening</w>
-slo ven
-quali fy</w>
-pro of
-fair y
-le v
-fre ight</w>
-enjo ys</w>
-cup cake</w>
-flav our</w>
-â ķ
-protec tive</w>
-ðŁijı ðŁı»</w>
-is u
-ad mir
-h mmm</w>
-continu ous</w>
-ai res</w>
-rap tors</w>
-showcas ing</w>
-y uk
-pa ste</w>
-follow er</w>
-instru ctions</w>
-sp ru
-@ __</w>
-the o
-debu ts</w>
-ve tte</w>
-sto w</w>
-es of
-ach ed</w>
-sul tan</w>
-sand wich
-som alia</w>
-franc o</w>
-car ne
-flu ffy</w>
-al pine</w>
-jas mine</w>
-he ated</w>
-viol in</w>
-ple ss</w>
-divor ce</w>
-per former</w>
-phi es</w>
-port sm
-dar a</w>
-kir by</w>
-lo p</w>
-chill i</w>
-for th
-sky pe</w>
-ðŁĩ®ðŁĩ ¹</w>
-celebr ities</w>
-ed y
-ve e</w>
-po ison</w>
-ey el
-gra bs</w>
-ssi c</w>
-un o</w>
-wester n
-rail road</w>
-am er
-numer ous</w>
-s v</w>
-fo w
-fi st</w>
-âĢ ĭ
-reque sts</w>
-mar tial</w>
-em my</w>
-accept ance</w>
-lau ra
-ภ´</w>
-er up
-hyun dai</w>
-out lander</w>
-u tt
-wrest le
-esp resso</w>
-demand ing</w>
-g dp</w>
-geo graphy</w>
-sas kat
-tro ll</w>
-confe der
-su es</w>
-se m</w>
-be ts</w>
-t ful</w>
-to sh</w>
-teach es</w>
-col oured</w>
-gal way</w>
-mac y</w>
-dis orders</w>
-bb cra
-at em
-fen der</w>
-lit ter</w>
-e sh
-provi ders</w>
-renov ation</w>
-nomin ate</w>
-ps g</w>
-nomin ations</w>
-jen na</w>
-shar p
-some day</w>
-z ur
-bra ins</w>
-che shire</w>
-pre y</w>
-hu go</w>
-Â ¿</w>
-to ken</w>
-r v
-car r</w>
-tac tical</w>
-zel da</w>
-kay la</w>
-fern ando</w>
-photograph ers</w>
-j our</w>
-umb rella</w>
-woo dy</w>
-congress man</w>
-du mp</w>
-le vy</w>
-ju an
-d azz
-sign als</w>
-la in</w>
-an u</w>
-mic hel</w>
-por ch</w>
-al den
-sibl ings</w>
-y ale</w>
-pe el</w>
-sw ick</w>
-gg in</w>
-ll c</w>
-k ale
-s con
-il d</w>
-pat reon</w>
-re el</w>
-qu in</w>
-wit t</w>
-mar ty</w>
-moo dy</w>
-ton i</w>
-der y</w>
-g ators</w>
-speci fically</w>
-dd in</w>
-ly on</w>
-tr ick
-meado ws</w>
-p j</w>
-bor gh
-vi k</w>
-tu r</w>
-bron x</w>
-pu ff</w>
-lan tern</w>
-ðŁ¤ ¦
-g ently</w>
-be stie</w>
-fac t
-refu sed</w>
-fas ci
-mp y</w>
-ðŁĶ µ</w>
-cross over</w>
-mead ow</w>
-indian apolis</w>
-duc ation</w>
-sle y
-loo m</w>
-mix er</w>
-new music</w>
-film maker</w>
-prosper ity</w>
-li m</w>
-week end
-cre amy</w>
-neu tr
-lu ther</w>
-h v
-nor thern
-tw o
-h ra</w>
-cat ches</w>
-appear ances</w>
-ha bit</w>
-kitt ens</w>
-n v
-illa c</w>
-inf an
-regar dless</w>
-liz ard</w>
-dun k</w>
-cur tain</w>
-ac om
-in tu
-ve z</w>
-e min
-fl ats</w>
-calend ars</w>
-em power</w>
-ru ined</w>
-hun gary</w>
-vi d
-we x
-u lum</w>
-aber deen</w>
-o sa</w>
-k t
-ma ssi
-se emed</w>
-s den</w>
-' ?</w>
-tele phone</w>
-de fi
-insp ires</w>
-me ow</w>
-z ones</w>
-bl ind
-pl y
-tuc son</w>
-advent ure
-ge d
-oy ster</w>
-ðŁijıðŁijı ðŁijı</w>
-out put</w>
-tt t</w>
-metal lic</w>
-sma sh
-ucl a</w>
-sco ts</w>
-perfe ct
-lu cy
-regular ly</w>
-sp ic
-rel ative</w>
-ath ers</w>
-mis e</w>
-batt ling</w>
-deci des</w>
-mat a</w>
-occu pied</w>
-random ly</w>
-cat softwitter</w>
-gi an
-ball y
-al ties</w>
-al lies</w>
-im men
-sy rac
-ðŁĴľ ðŁĴľ
-l lan
-au r</w>
-k ut
-lam ar</w>
-affe cts</w>
-n ra</w>
-star war
-ðŁ¤ ĺ</w>
-sc ram
-en chan
-pro cess
-luxu rious</w>
-ar ray</w>
-sher lock</w>
-comp ati
-dor f</w>
-stre ss
-m su</w>
-s with
-sal a</w>
-sof instagram</w>
-fo il</w>
-under stood</w>
-qu ay</w>
-r p
-c ade</w>
-ja w</w>
-en ab
-en coun
-ðŁİī :</w>
-do ck
-satur n</w>
-mu ll
-lay out</w>
-ra rely</w>
-happ ily</w>
-fix ture</w>
-or ph
-over looking</w>
-her bs</w>
-m itt
-pil lar</w>
-nol an</w>
-pe tty</w>
-str y
-u i
-mu k
-o res</w>
-o vers</w>
-á µ
-re creation</w>
-we sley</w>
-ri t</w>
-kejri wal</w>
-sto cking</w>
-g v</w>
-subscri bers</w>
-moo se</w>
-ma e</w>
-ber t
-opp re
-assign ment</w>
-u ro
-high lighting</w>
-cal vin</w>
-we igh</w>
-cambo dia</w>
-av on</w>
-ke m</w>
-dis abilities</w>
-read y
-char gers</w>
-p ads</w>
-iz ing</w>
-illi an</w>
-tru ste
-col leges</w>
-associ ates</w>
-alban y</w>
-mil ton</w>
-cr on
-bu r</w>
-har dly</w>
-si ghts</w>
-anti ques</w>
-e cho
-surpri singly</w>
-ha iti</w>
-cap t</w>
-ph p</w>
-op io
-ine quality</w>
-equ al
-ken y
-sch mid
-autograph s</w>
-ren t
-qu er
-cit rus</w>
-challeng ed</w>
-te c
-epi de
-fe st
-z hou</w>
-li me
-citizen ship</w>
-cry stal
-convin ced</w>
-mess enger</w>
-copen hagen</w>
-âĿĹ ï¸ı</w>
-war ran
-develop ments</w>
-ï¸ı âĥ£
-fore x</w>
-hi ro
-sne akers</w>
-xi de</w>
-vi va</w>
-stere o</w>
-bat ting</w>
-ss el
-ho st
-beng al
-critic ism</w>
-q c</w>
-cr un
-attemp ted</w>
-ry e</w>
-determin ation</w>
-cre ations</w>
-d read
-label s</w>
-pos se
-anc er</w>
-joh an
-si ster
-partner ships</w>
-les bian</w>
-k st</w>
-guaran tee</w>
-bar o
-fix ing</w>
-ma son
-m ous</w>
-chem icals</w>
-t less</w>
-bio diversity</w>
-par o
-bhar at</w>
-ac ol
-refu ge</w>
-en te
-t iti
-dys sey</w>
-respon ds</w>
-lef to
-in er
-se vel
-rahu l</w>
-ol ine</w>
-frank fur
-cho reo
-enjoy able</w>
-c to</w>
-strugg les</w>
-wood land</w>
-heavy weight</w>
-gen s</w>
-rece p
-ac cred
-ðŁĺ ¡</w>
-trans formed</w>
-list en
-at op</w>
-n k</w>
-sur ge</w>
-be re
-gover nor
-prison ers</w>
-clau de</w>
-t ill
-mu lator</w>
-emo tion</w>
-water loo</w>
-star t
-ðŁĩ º</w>
-clean ed</w>
-grand mother</w>
-fear less</w>
-afric an
-astron omy</w>
-ðŁı ģ</w>
-ภĻ
-the world</w>
-su itable</w>
-anth ony
-k and
-tt en</w>
-meaning ful</w>
-disc lo
-jaco bs</w>
-Ã ¸
-tom linson</w>
-ghe tti</w>
-ty pho
-sub stan
-as co</w>
-te k
-nag ar</w>
-mu d
-am on
-vacc ine</w>
-f ty</w>
-fle sh</w>
-no el</w>
-infl ation</w>
-portu gue
-glam our</w>
-tra m</w>
-v re</w>
-te qu
-roun dup</w>
-w yn</w>
-rejec ted</w>
-mosa ic</w>
-si ghting</w>
-cal f</w>
-o ta
-com position</w>
-go pro</w>
-gonz ale
-e ed</w>
-b ard</w>
-tu e</w>
-effec tively</w>
-we en
-al to</w>
-ri bs</w>
-rel ate</w>
-thir sty</w>
-fu rious</w>
-di m</w>
-ch ard</w>
-perfu me</w>
-s ny
-chur chill</w>
-k of
-master class</w>
-wa ve
-ðŁĶ µ
-er in
-own s</w>
-to be
-sk illed</w>
-te m</w>
-go f
-en i</w>
-tor i</w>
-cra zy
-l ick</w>
-resi stant</w>
-ici al
-ag ar</w>
-! :</w>
-g ali
-del aware</w>
-bl itz</w>
-koh li</w>
-pu ck</w>
-avail ability</w>
-hi malay
-influ ential</w>
-cro chet</w>
-victor i
-read ing
-ho bby</w>
-vie t
-j as</w>
-en gra
-sk ul
-ðŁĩ² ðŁĩ
-educ ate</w>
-tech no</w>
-distric ts</w>
-blu es
-se tt</w>
-seven th</w>
-lear ns</w>
-ee ee</w>
-apocaly pse</w>
-hang out</w>
-cru el</w>
-mu tu
-bru h</w>
-hel en
-she er</w>
-c tion
-kle in</w>
-tex ans</w>
-ce real</w>
-sh ine
-ne red</w>
-gra s</w>
-am bro
-f ella</w>
-hin du
-matthe w
-li ma</w>
-mir anda</w>
-je wel</w>
-so ho</w>
-euro vision</w>
-neighb ours</w>
-chand ler</w>
-be sides</w>
-ðŁ¥ °</w>
-ast ros</w>
-thu mbs</w>
-ren ault</w>
-ra ve</w>
-hi red</w>
-ðŁĸ ¤
-it ary</w>
-z or
-bla zer</w>
-k ine
-ea u</w>
-kat y
-dc comics</w>
-pe c</w>
-ro dgers</w>
-water proof</w>
-kill ers</w>
-super int
-pre serv
-as so</w>
-brew ers</w>
-promo tional</w>
-sc am
-villa ges</w>
-sket ches</w>
-ju icy</w>
-for life</w>
-au dit</w>
-so lo
-fundam ental</w>
-len e</w>
-philipp ine</w>
-t end
-conserv atives</w>
-sponsor ship</w>
-dd le
-a ine</w>
-h tc</w>
-os i</w>
-hul k</w>
-w af
-ภĻ</w>
-evalu ation</w>
-ant ine</w>
-sle e
-robert son</w>
-roo sevel
-ag i</w>
-sophi stic
-emplo yers</w>
-bubb les</w>
-ko wski</w>
-inter action</w>
-sh u</w>
-bou le
-ic an
-j are
-han k</w>
-leg itim
-k nicks</w>
-kar ma</w>
-recei ver</w>
-per ks</w>
-u h
-sta ir</w>
-sun i
-labor atory</w>
-gra ves</w>
-voc als</w>
-oo t</w>
-c ture</w>
-thri ve</w>
-tic o</w>
-ãĥ ³
-b w
-carto ons</w>
-mcdon alds</w>
-dra w
-y ung</w>
-pl er</w>
-li d</w>
-eth ical</w>
-groo ve</w>
-ent a</w>
-international womensday</w>
-pat ron</w>
-wor ries</w>
-ðŁİ ħ
-ðŁij ĭ</w>
-ka therine</w>
-di az</w>
-tor i
-bach chan</w>
-tru st
-min eral</w>
-ic om
-buil ders</w>
-bor n
-col oring</w>
-lat te</w>
-ca se
-revolu tion
-tra der</w>
-ox id
-chi pot
-inst antly</w>
-sou thern
-se hun</w>
-pro b
-her nandez</w>
-lis bon</w>
-hu awe
-p ong</w>
-me a</w>
-ro oney</w>
-wheel chair</w>
-ke en
-be tt
-cor in
-regulat ory</w>
-di splac
-ka ren
-sch em
-sun sets</w>
-wh ales</w>
-remin is
-he p
-hi de
-mar cel
-pand ora</w>
-do yle</w>
-th fc</w>
-ot to</w>
-no kia</w>
-trans gender</w>
-ko v
-hawai ian</w>
-sha ve</w>
-so vere
-exc er
-nick i</w>
-pu g</w>
-st or</w>
-ro th
-wee t</w>
-leg al
-dig nity</w>
-po w</w>
-hom age</w>
-ðŁĩ³ ðŁĩ
-s re
-can on
-la x
-wo ah</w>
-quart z</w>
-ñ a</w>
-gree ting</w>
-flick r</w>
-nai robi</w>
-advoc ates</w>
-an c</w>
-vi i</w>
-eu gene</w>
-th ra
-c re</w>
-el an
-pen sion</w>
-th letics</w>
-ton i
-re agan</w>
-x v</w>
-sto re
-ben ch
-har lem</w>
-todd ler</w>
-sent enced</w>
-âĻ¥ ï¸ı
-glob ally</w>
-che aper</w>
-u f
-ma m</w>
-nic o</w>
-ik u</w>
-tho u</w>
-ni st</w>
-dam i
-th ala</w>
-rho des</w>
-sal e
-bow ls</w>
-â Ī
-las vegas</w>
-sanc tions</w>
-adm ire</w>
-mat ched</w>
-un able</w>
-travel er</w>
-ele ven</w>
-straw berries</w>
-âĢĶâĢĶ âĢĶâĢĶ
-stu dio
-jac ques</w>
-im s</w>
-valu ed</w>
-s no</w>
-cheese cake</w>
-n xt</w>
-e os</w>
-s x</w>
-f x
-ton ic</w>
-hat ch</w>
-chic ks</w>
-gra ds</w>
-hand ic
-r ory</w>
-as p
-ri pped</w>
-denti st</w>
-n en
-lu fc</w>
-âľ Ĭ</w>
-di ge
-hop kins</w>
-sher man</w>
-f da</w>
-for all</w>
-ash ley
-str and</w>
-h y</w>
-liqu or</w>
-buffe t</w>
-ess ence</w>
-phar ma</w>
-suri ya</w>
-ðŁĴĻ ðŁĴĻ
-festi vals</w>
-z an</w>
-re fresh
-pur ple
-uni forms</w>
-kenne th</w>
-= )</w>
-as an</w>
-hel sin
-transform ers</w>
-k ali
-person alized</w>
-chal k</w>
-bo bby
-â Į
-the mes</w>
-depar ture</w>
-prin t
-illustr ations</w>
-qui et
-agre es</w>
-gri ff
-Ø ³
-m iti
-toge ther
-conven ience</w>
-ab ar
-car lo
-turt les</w>
-info sec</w>
-some what</w>
-ar lington</w>
-scholar ships</w>
-emir ates</w>
-mu ms</w>
-st ella</w>
-auton om
-fe ather</w>
-g ore</w>
-nom inees</w>
-fragr ance</w>
-Ñ Ĥ
-w ong</w>
-thea stern</w>
-gr e</w>
-z illa</w>
-is i</w>
-bump er</w>
-go o</w>
-do zens</w>
-ab duc
-âļª ï¸ı</w>
-o ils</w>
-don ors</w>
-sil icon</w>
-i pod</w>
-fortn ite</w>
-ðŁĴ ¨</w>
-tor o</w>
-spark ling</w>
-consci ousness</w>
-pal a</w>
-nu m
-moun ted</w>
-ffin s</w>
-thi eves</w>
-team mate</w>
-pra b
-om er</w>
-ta pes</w>
-bo d
-mit su
-ste w</w>
-e re
-p bs</w>
-tu sc
-lo we</w>
-ra de</w>
-parliam entary</w>
-h m
-ed gar</w>
-ðŁijĩ ðŁijĩ
-to a
-a gh
-hon i</w>
-s late</w>
-ge ek
-ap t</w>
-hard t</w>
-ta p
-horiz on
-grow th
-make over</w>
-hi l</w>
-paper back</w>
-id an</w>
-reha bil
-gi u
-possi bilities</w>
-let tu
-fran co
-bo ss
-ach er</w>
-does nt</w>
-mo e</w>
-ta ker</w>
-huss ain</w>
-ml k</w>
-di l</w>
-th ia</w>
-ham a</w>
-real ised</w>
-raven s</w>
-curric ulum</w>
-m ith</w>
-k night
-ted x
-r v</w>
-isai ah</w>
-cumb ria</w>
-birth days</w>
-f ing</w>
-pre z</w>
-mu barak</w>
-exquis ite</w>
-clear ance</w>
-y en</w>
-par i
-ev o
-Ã º
-modi fied</w>
-app lying</w>
-imple ment</w>
-disco vering</w>
-chap man</w>
-indie game</w>
-dis k</w>
-crowd funding</w>
-mach in
-li vel
-sty led</w>
-âĿ Į</w>
-ma king
-rehear sals</w>
-nutr iti
-subscri ption</w>
-and ro</w>
-cre ators</w>
-car ries</w>
-ky lie</w>
-cam den</w>
-appren tice</w>
-tax pay
-c ca</w>
-tuesday thoughts</w>
-pis sed</w>
-er man</w>
-dete c
-freed om
-mer i
-.. !</w>
-psal m</w>
-sun light</w>
-per spec
-be ings</w>
-book store</w>
-rock star</w>
-fun ctions</w>
-p ence</w>
-fav es</w>
-z n</w>
-obam acare</w>
-sp ill</w>
-coven try</w>
-pi geon</w>
-pi vo
-ba it</w>
-kol kata</w>
-av al
-don or</w>
-wa h</w>
-privi leg
-tra ditions</w>
-rajas than</w>
-ten ess</w>
-portugue se</w>
-yn es</w>
-tack les</w>
-de fic
-tor n</w>
-pol ling</w>
-thor ne</w>
-in a
-bened ict</w>
-bar ry
-cal ories</w>
-ver dict</w>
-save the
-nor ton</w>
-off ice
-main stream</w>
-impro ves</w>
-fr on</w>
-respon ding</w>
-real tor</w>
-scotti sh
-de clar
-r l
-shi v
-supp lier</w>
-re sting</w>
-swee ts</w>
-qu i</w>
-. âĢ¦</w>
-whit ney</w>
-startu p
-thank you
-teach er
-h alls</w>
-ha ve
-hand made
-pro ving</w>
-quar tet</w>
-ro chester</w>
-li an</w>
-virtu al
-mend es</w>
-of icial</w>
-mid lands</w>
-x box
-meas uring</w>
-o vo</w>
-accommod ation</w>
-bri des</w>
-collegi ate</w>
-intellec tual</w>
-in car
-ni ag
-ðŁį ·</w>
-sf w</w>
-coco a</w>
-co ats</w>
-civil ians</w>
-presi dency</w>
-mat rix</w>
-sweethe art</w>
-tri athlon</w>
-wag ner</w>
-ra dic
-plann er</w>
-the o</w>
-execu tion</w>
-k um
-the walkingdead</w>
-sc ar</w>
-ro tation</w>
-blo gging</w>
-bom b
-re son
-bb les</w>
-st are</w>
-assi sted</w>
-e do</w>
-brand ed</w>
-war nings</w>
-thor pe</w>
-acknow le
-satis fied</w>
-sho res</w>
-ri d
-dor a</w>
-phys ically</w>
-bi gh
-appro ves</w>
-ha h
-ric al</w>
-vers atile</w>
-pret end</w>
-lu m
-ab hi
-ye e
-sp it
-ãĢ Į</w>
-dj s</w>
-ash tra</w>
-j t</w>
-ven ues</w>
-gram mys</w>
-cy clo
-tr acker</w>
-over watch</w>
-repl ica</w>
-el yn</w>
-nr l</w>
-lind sey</w>
-hom o
-ballo ons</w>
-kitch en
-si s
-am os</w>
-ende av
-ðŁĴ »</w>
-a rec
-thu g</w>
-hoo ked</w>
-hr c</w>
-new york
-bur gh
-americ as</w>
-patric ia</w>
-ug u</w>
-ap athy</w>
-ha st
-psy chi
-cor k
-petro l</w>
-ðŁİ ¬</w>
-ak u
-po pping</w>
-psycho logical</w>
-au x
-g ma</w>
-cad illac</w>
-wa ste
-auth ent
-bri stol
-nam e
-que er</w>
-to ber
-jer ry
-com in</w>
-ch ant
-privileg ed</w>
-op ar
-lo ser</w>
-tex t
-mar ker</w>
-stri es</w>
-equ ally</w>
-ak i
-christ mas
-gare th</w>
-ble w</w>
-em ma
-imag in
-se als</w>
-che at</w>
-conditi oning</w>
-j ana</w>
-ren s</w>
-dar ies</w>
-o asis</w>
-disc ounts</w>
-coun cil
-i ka</w>
-shir ley</w>
-vou cher</w>
-al ps</w>
-w x
-q r</w>
-dri ft</w>
-attemp ting</w>
-ut c</w>
-Ø ª
-gonzale z</w>
-m f
-jo ker</w>
-paralle l</w>
-pa re
-aspe cts</w>
-proce du
-n p
-am a
-rale igh</w>
-bright en</w>
-gu ire</w>
-radi ation</w>
-cre scent</w>
-ho b
-il le
-str and
-v ore</w>
-n ard</w>
-che st
-di wali</w>
-av atar</w>
-al der
-d ling</w>
-pa thetic</w>
-ðŁĴ ĺ
-spir it
-jor ge</w>
-film making</w>
-ðŁĻı ðŁĻı
-challeng er</w>
-b j</w>
-down town
-ht ml</w>
-ade qu
-twi sted</w>
-in ely</w>
-( '</w>
-wra ps</w>
-oper ational</w>
-y ne</w>
-n us</w>
-mag net</w>
-market place</w>
-health ier</w>
-snap shot</w>
-dam on</w>
-inter ven
-fe derer</w>
-ow ls</w>
-biscu its</w>
-j p
-ro deo</w>
-blue berry</w>
-lec tion</w>
-fron tier</w>
-summ ers</w>
-re yes</w>
-pede strian</w>
-go l</w>
-caf fe
-refur bi
-bou lder</w>
-me ghan</w>
-speci alty</w>
-la ss</w>
-e i</w>
-suspec ts</w>
-appro x</w>
-rr r</w>
-ra th
-st im
-cru shed</w>
-he d
-wh un
-lo af</w>
-cr ore</w>
-river a</w>
-gene tics</w>
-so ck</w>
-wa sted</w>
-ny pd</w>
-answ ering</w>
-do ve</w>
-bel la
-ol in</w>
-du n</w>
-fi ji</w>
-pre tty
-spar kle</w>
-y un</w>
-j d
-euro pa</w>
-li fts</w>
-am ber
-mu r</w>
-te k</w>
-boy d</w>
-roy alty</w>
-in do</w>
-ri b</w>
-go tham</w>
-ti est</w>
-inst alling</w>
-ke mp
-the photo
-cos mic</w>
-) ))</w>
-whole sale</w>
-loy ment</w>
-eas y
-su ing</w>
-sett led</w>
-af p</w>
-pro ver
-suppor tive</w>
-re es</w>
-ne ath</w>
-deli ber
-c é</w>
-wel come
-pic oftheday</w>
-new born</w>
-pat ty</w>
-sun s</w>
-si est</w>
-fl int</w>
-diffe rently</w>
-spo ilers</w>
-troop er</w>
-g ins</w>
-cor y</w>
-look out</w>
-equi pped</w>
-ta pe
-to by</w>
-resear cher</w>
-u sh</w>
-ke yes</w>
-al ma</w>
-induc tion</w>
-k w</w>
-k har
-sl ick</w>
-bri de
-e ur
-cra ving</w>
-book ings</w>
-ch es
-tr unk</w>
-vern on</w>
-sp her
-cryst als</w>
-rel atively</w>
-pom pe
-uni ons</w>
-val ley
-par a
-w ant
-ok c</w>
-de af</w>
-ser gio</w>
-len non</w>
-sh ay</w>
-cr a</w>
-v at</w>
-he e
-t we
-liqu id
-pol y</w>
-ðŁİ ģ
-b ent</w>
-be aring</w>
-motor sport</w>
-bar be
-te sti
-han i</w>
-fin ancing</w>
-astron aut</w>
-water colour</w>
-ri sh
-comic con</w>
-gar t
-wr ong
-ber n</w>
-it an</w>
-ste pped</w>
-fil ters</w>
-c low
-me x</w>
-dem ons</w>
-all o</w>
-expand ed</w>
-comm and
-et ers</w>
-go ats</w>
-si ri</w>
-y r
-pot tery</w>
-mari on</w>
-i le
-el an</w>
-san to</w>
-person a</w>
-du ke
-hom eless
-li ghted</w>
-wheel er</w>
-chang er</w>
-cab bage</w>
-sur real</w>
-ham burg</w>
-sma shed</w>
-str an
-k not</w>
-i art
-ob i</w>
-be dro
-di al
-th ick
-b ingo</w>
-fu s</w>
-vacu um</w>
-con ve
-ati ve
-accur acy</w>
-accoun t
-re fer
-ri z
-spider man</w>
-ban a</w>
-r ite</w>
-u b
-ab s
-medic al
-lin k
-si em
-> >>></w>
-be tra
-g lowing</w>
-re actions</w>
-pupp et</w>
-spa ghetti</w>
-ang s</w>
-re medi
-pray for
-roy ce</w>
-char lotte
-£ ï¸ı</w>
-gh et
-affe cting</w>
-ro de</w>
-soci alist</w>
-mo ses</w>
-az i</w>
-o it
-re porters</w>
-cd t</w>
-ap ing</w>
-s nat
-minim al</w>
-wa ist</w>
-sie ge</w>
->> >>
-ri g
-schmid t</w>
-h are</w>
-ec a</w>
-thor n</w>
-he mp</w>
-es the
-cly de</w>
-th a
-don ut</w>
-moham ed</w>
-ling erie</w>
-le gg
-carpen ter</w>
-perform ers</w>
-de a</w>
-imag ined</w>
-cur se</w>
-la sh</w>
-ct r</w>
-agu a</w>
-ro ar</w>
-gr i</w>
-ro le
-j fk</w>
-resur rec
-roosevel t</w>
-maril yn</w>
-sm alle
-will is</w>
-wa ited</w>
-char ities</w>
-the res</w>
-li k</w>
-origin al
-car i
-c ough</w>
-cru ci
-la gun
-contra st</w>
-k ou
-arm our</w>
-re moving</w>
-t ent
-maz da</w>
-bri ghter</w>
-thi ef</w>
-cor ner
-tequ ila</w>
-buzz ing</w>
-al bi
-p am</w>
-az ure</w>
-disc oun
-pixel art</w>
-possi bility</w>
-ham ont</w>
-tra des</w>
-bu da
-hi ve</w>
-vers y</w>
-fin ch</w>
-tran spa
-em i</w>
-terri fying</w>
-in qui
-g ba</w>
-sub stitu
-collec ti
-plac ing</w>
-cin dy</w>
-k ann
-pa tho
-diamon d
-mour inho</w>
-guine a</w>
-anthro po
-air s</w>
-pu mps</w>
-ì ļ
-pas o</w>
-cur ling</w>
-an ita</w>
-resi dency</w>
-ne wh
-jo on</w>
-cigare tte</w>
-que ue</w>
-ex trac
-gam es
-spl en
-ex press
-public ly</w>
-bon nie</w>
-tribun e</w>
-ba ek
-reason able</w>
-c or</w>
-timo thy</w>
-she eran</w>
-Ä ±
-f dn</w>
-su tton</w>
-concentr ation</w>
-carav an</w>
-x avier</w>
-al ger
-cy lin
-freder ick</w>
-ner ve</w>
-pe ak
-lettu ce</w>
-j ail
-pre game</w>
-kav an
-up graded</w>
-eco logy</w>
-squad ron</w>
-gra pes</w>
-goo g
-pa stry</w>
-ðŁĹ £</w>
-ãĥ¼ ãĥ
-mil ano</w>
-awa z</w>
-presen ter</w>
-ðŁĮ ¿</w>
-her d</w>
-king s
-tem plate</w>
-fl our</w>
-h v</w>
-k ley</w>
-i ya</w>
-spe c</w>
-at er
-frankfur t</w>
-co ch
-tex ting</w>
-del i</w>
-communi st</w>
-regi ment</w>
-ele anor</w>
-anticip ated</w>
-ðŁijĮ ðŁı»</w>
-thephoto hour</w>
-ran o</w>
-survi ving</w>
-simul ation</w>
-daw son</w>
-ar in</w>
-aqu a</w>
-m or</w>
-âĢ¦ .</w>
-cin o</w>
-ira qi</w>
-sh az
-dun dee</w>
-we s
-dra u
-hann ah
-s news</w>
-occup ation</w>
-ste en</w>
-x m</w>
-ang les</w>
-sett ings</w>
-gur u
-kno x
-or ca</w>
-shap ing</w>
-w ent
-dr illing</w>
-zz ie</w>
-br i</w>
-kis sing</w>
-fin d
-ma ine
-âŃIJï¸ı âŃIJï¸ı
-ðŁĮ į</w>
-lar ry
-bu sted</w>
-ta vern</w>
-acti vely</w>
-- "</w>
-replac ing</w>
-no d</w>
-un lock</w>
-. "
-âŀ ¤</w>
-affili ate</w>
-to w</w>
-l n</w>
-happy newyear</w>
-di f
-j m</w>
-green wich</w>
-contro versy</w>
-daw g</w>
-con dol
-sav annah</w>
-compens ation</w>
-touch down</w>
-te o</w>
-amb itious</w>
-embro i
-convic ted</w>
-iart g</w>
-bar ack
-tr ance</w>
-testim ony</w>
-au dition</w>
-thum b</w>
-my ths</w>
-be x
-que z</w>
-orch id</w>
-den y</w>
-entit led</w>
-hoo d
-gr ant
-in box</w>
-blue jays</w>
-r illa</w>
-smalle st</w>
-bur den</w>
-in famous</w>
-divi ded</w>
-boun daries</w>
-t ter
-el t</w>
-wy oming</w>
-be verage</w>
-me sm
-one ws</w>
-budd hist</w>
-y ana</w>
-as sad</w>
-is ms</w>
-bar rett</w>
-predic ted</w>
-back to
-tw it</w>
-e there
-cap tains</w>
-escap ed</w>
-ay o</w>
-lam borgh
-gard ner</w>
-la ps</w>
-k al</w>
-adverti sement</w>
-insec ts</w>
-na po
-am en
-ac y
-r and</w>
-g k</w>
-te h
-k athle
-tri dge</w>
-pan cake</w>
-at ro
-pyram id</w>
-bu la</w>
-paral ym
-gau ge</w>
-en cies</w>
-tom y</w>
-biscu it</w>
-but cher</w>
-quali fier</w>
-coun ty
-ke i
-po ols</w>
-dar ker</w>
-should ers</w>
-ðŁĩºðŁĩ¸ ðŁĩºðŁĩ¸
-sp re
-( "</w>
-writ ers
-g m
-ðŁİ ĵ</w>
-k nit
-hu ff
-mt b</w>
-philli es</w>
-o st</w>
-den is</w>
-g art</w>
-licen sed</w>
-inter face</w>
-ex cel</w>
-d well</w>
-from the
-co fficial</w>
-az zi</w>
-appear ing</w>
-fore st
-n ana</w>
-ke ith
-manufac turers</w>
-beck ham</w>
-) ?</w>
-e se
-col ony</w>
-delic ate</w>
-ut ter
-mc in
-transpl ant</w>
-pre ferred</w>
-par d</w>
-ari e</w>
-hu b
-po ds</w>
-perspec tives</w>
-pic t</w>
-del u
-app er</w>
-be than
-p mo
-crimin als</w>
-femin ism</w>
-sh ack</w>
-circum stances</w>
-fel las</w>
-prote sting</w>
-wa x
-sugge sted</w>
-t ator</w>
-dre w
-om ni
-fa ke
-kath y</w>
-re b</w>
-del ine</w>
-ber ni
-mi sty</w>
-ðŁij ©
-er able</w>
-break through</w>
-men swear</w>
-millenni als</w>
-chan yeol</w>
-la z
-inser t</w>
-rep lies</w>
-phra se</w>
-n x
-ihear tawards</w>
-audre y</w>
-gran ite</w>
-rac ec
-ori e</w>
-ter ra</w>
-innov ations</w>
-britt any</w>
-at eral</w>
-pe ar</w>
-bio logical</w>
-sh ments</w>
-institu tion</w>
-m sn
-frequ ency</w>
-d man</w>
-neg lec
-t f
-ste fan</w>
-fox news</w>
-ty po
-comm s</w>
-sequ ence</w>
-car men</w>
-wh ites</w>
-econom ist</w>
-exe ter</w>
-se um</w>
-re sorts</w>
-cas ually</w>
-bun de
-divi de</w>
-Ø ¹
-ga g</w>
-cre ed</w>
-reti re</w>
-cau cus</w>
-rapi ds</w>
-wrestle mania</w>
-tul sa</w>
-sunder land</w>
-fundam ent
-o di</w>
-yam aha</w>
-v ary</w>
-intri gu
-el se
-be acon</w>
-an gie</w>
-tra ded</w>
-tran sm
-g ents</w>
-kn itting</w>
-gal ac
-ðĿ Ĺ
-u to
-sea side</w>
-hol t</w>
-re rs</w>
-far go</w>
-train ers</w>
-mon soon</w>
-b ale</w>
-sou ght</w>
-mad die</w>
-h w</w>
-co li
-fr an</w>
-fav s</w>
-ðŁĴ Ķ
-int ent</w>
-r ally
-s bs</w>
-lemon ade</w>
-barack obama</w>
-bre ad
-stick y</w>
-explo sive</w>
-chel ten
-t j
-as soc</w>
-ram en</w>
-hom ies</w>
-v log</w>
-mi ster</w>
-lor d
-âĢįâĻ Ģï¸ı
-aly ssa</w>
-sketch book</w>
-ru mble</w>
-cat ch
-migr ant</w>
-discipl ine</w>
-un likely</w>
-chronic les</w>
-fl ora</w>
-sl ams</w>
-am id
-s boro</w>
-coo p</w>
-ju mps</w>
-tran qu
-mel is
-sof ia</w>
-en ri
-gab e</w>
-sy ri
-nicol as</w>
-cha i</w>
-w v
-be cky</w>
-foo ty</w>
-ta o</w>
-suppo se</w>
-ðŁĺįðŁĺį ðŁĺįðŁĺį</w>
-plu sh</w>
-ri sh</w>
-ðŁ¤ ĵ</w>
-k ha</w>
-satur days</w>
-ac cent</w>
-he c
-lim it
-carl ton</w>
-wi red</w>
-taylor swift</w>
-ðŁĺ ij</w>
-sq l</w>
-har ro
-recipi ents</w>
-g at</w>
-go p
-th of
-amaz ed</w>
-gh an
-ðŁıĨ ðŁıĨ
-por to</w>
-cla re
-di stant</w>
-na c</w>
-ohi o
-ðŁĻı ðŁı¼</w>
-mt n</w>
-anti bio
-dino sa
-me sa</w>
-par tial</w>
-b v
-lear nt</w>
-lov ato</w>
-questi on
-ex tract</w>
-gossi p</w>
-gi bb
-niag ara</w>
-ðŁij ¨
-displa yed</w>
-so oner</w>
-ste vie</w>
-nug gets</w>
-ml n</w>
-bro m
-tur b
-give aways</w>
-stu pi
-bl ink</w>
-c ili
-conven ient</w>
-mo h
-vi ve
-f ric
-cau se
-cham ber
-cu les</w>
-ne arest</w>
-is se</w>
-small biz</w>
-t j</w>
-canadi ans</w>
-smar ter</w>
-bra sil</w>
-ra re
-que tte</w>
-w ha
-cand le
-at omic</w>
-ðŁijį ðŁijį</w>
-warri or
-relax ed</w>
-stri ps</w>
-ne ur
-k ka</w>
-r fc</w>
-jen sen</w>
-reco vering</w>
-respon ses</w>
-sal am
-ortho dox</w>
-acti ve
-ell ers</w>
-n it</w>
-âŃ IJ</w>
-metro politan</w>
-centu ries</w>
-vi da</w>
-gra ding</w>
-transpa rent</w>
-sim ple
-do ts</w>
-superint endent</w>
-elev ator</w>
-autom ated</w>
-red skins</w>
-ima m</w>
-summer time</w>
-jona than
-ge aring</w>
-michel le
-confl ic
-m ice</w>
-to te</w>
-publi sh</w>
-pa x</w>
-) -</w>
-na iled</w>
-á ´
-tele scope</w>
-ser bia</w>
-ba b</w>
-ape u
-st ically</w>
-sen ti
-r ats</w>
-isol ated</w>
-grou p
-hat red</w>
-paranor mal</w>
-stan ley
-ali on</w>
-safe ty
-l s
-ठ°</w>
-nex us</w>
-alexand ra</w>
-mas ks</w>
-+ +</w>
-tr on
-au k</w>
-brother hood</w>
-brow se</w>
-mix es</w>
-sim one</w>
-mu sk</w>
-appro ve</w>
-lo la</w>
-ex p</w>
-per th
-fu turi
-un seen</w>
-d m
-chel se
-sc outing</w>
-o we</w>
-portsm outh</w>
-k ram
-mi ze</w>
-di spen
-su p
-d lc</w>
-adver t</w>
-tere sa</w>
-is le
-cy cle
-met all
-shi elds</w>
-marin ers</w>
-ra z</w>
-ing en</w>
-fun d
-an go</w>
-jon es
-o ka</w>
-mad den</w>
-broc coli</w>
-domin ic</w>
-situ ations</w>
-mer o</w>
-cric ke
-puni shment</w>
-d b
-sha king</w>
-ðŁĺ ļ</w>
-m q
-ari ans</w>
-le h
-cla w</w>
-we ds</w>
-d ure</w>
-ni el
-j elly
-gour met</w>
-tra ders</w>
-le vi</w>
-w ages</w>
-kne es</w>
-wi se
-heaven ly</w>
-avi d</w>
-melo dy</w>
-z ack</w>
-ban anas</w>
-apprentic e
-pro p
-fun ny
-o de
-respec ted</w>
-me gan
-fe wer</w>
-dra fted</w>
-med it
-gra pe
-us army</w>
-cru sad
-vo cali
-prepar ations</w>
-non sense</w>
-us age</w>
-th r</w>
-ro th</w>
-wiz ards</w>
-insi de
-promo tions</w>
-mon a</w>
-red sox</w>
-si g</w>
-eleg ance</w>
-ch ia</w>
-univer sal
-ãĢ į</w>
-ra ja</w>
-un ga</w>
-pol lin
-filip ino</w>
-ak a
-t sun
-ik on</w>
-bi king</w>
-decor ations</w>
-z ac</w>
-cade ts</w>
-hum our</w>
-ag m</w>
-re ppin</w>
-vac cin
-elo ve</w>
-u w</w>
-dia be
-galla gher</w>
-az er
-do l</w>
-a while</w>
-pro minent</w>
-wel sh
-t ann
-' )</w>
-bi en
-wa g</w>
-in al</w>
-c wc</w>
-wic ket</w>
-ur st</w>
-q anon</w>
-x e</w>
-out door
-dun n</w>
-star r</w>
-co logy</w>
-ric ky
-u efa</w>
-reb ounds</w>
-s music</w>
-inf ant</w>
-ðŁĻ ĭ
-so p</w>
-u mber
-hand ing</w>
-beg in
-sor ting</w>
-ha sh</w>
-sp ati
-re k</w>
-buda pest</w>
-black hawks</w>
-dele te</w>
-ro m</w>
-can did</w>
-auth ori
-de bris</w>
-spe cul
-inter section</w>
-marri ott</w>
-im ran</w>
-ðŁĺģ ðŁĺģ</w>
-cru ises</w>
-ram sey</w>
-rafa el</w>
-aware ness
-vas cular</w>
-beyon cé</w>
-ru g</w>
-ðŁĺ Į
-festi v
-ar am
-s able</w>
-bas il
-p ill</w>
-flo oring</w>
-un beaten</w>
-implic ations</w>
-u f</w>
-w ound</w>
-for ge</w>
-poin ting</w>
-po ts</w>
-popular ity</w>
-ðŁijı ðŁı»
-mani pul
-s lots</w>
-deb ates</w>
-abs ence</w>
-ver mont</w>
-never forget</w>
-wri st
-gl oria</w>
-ren ce
-hu sk
-mel ting</w>
-ðŁİ Ł
-br aces</w>
-tim ely</w>
-transform ing</w>
-am ps</w>
-ma k</w>
-po e</w>
-ah an</w>
-gener ally</w>
-nd p</w>
-ale ppo</w>
-unic ef</w>
-pro fs</w>
-nor d
-ma sk
-jackson ville</w>
-v v
-sh ells</w>
-bloom ing</w>
-oper ators</w>
-char coal</w>
-ne ville</w>
-ma gi
-chi p
-sam a</w>
-ir an
-re forms</w>
-accu mul
-ru e</w>
-æ ľ
-web sites</w>
-ga on</w>
-devast ating</w>
-sto s</w>
-glaci er</w>
-ra pp
-chipot le</w>
-pr a</w>
-or ous</w>
-rom ney</w>
-seas on
-decor ative</w>
-c isco</w>
-dit ch</w>
-compla in</w>
-ll o</w>
-assu me</w>
-ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤðŁĺĤ</w>
-n els</w>
-cent ric</w>
-ft w</w>
-car rots</w>
-tat a</w>
-can ter
-per ience</w>
-li ers</w>
-demo s</w>
-bl unt</w>
-oper ate</w>
-reserv ations</w>
-le ah</w>
-sub stance</w>
-di son</w>
-an te
-elec tion
-v ue</w>
-squ are
-non profit</w>
-ca a</w>
-f su</w>
-y am</w>
-ãĤ ¤
-v ladi
-comple tes</w>
-mar i</w>
-philli p</w>
-ne ill</w>
-er as
-ka it
-men do
-mahar ashtra</w>
-g p
-dan e</w>
-provi dence</w>
-ther apeu
-juven ile</w>
-me mo</w>
-in corpor
-aa aa</w>
-seven teen</w>
-teen ager</w>
-Ã £
-or ns</w>
-wi de
-cu teness</w>
-tw d</w>
-ff les</w>
-bar a</w>
-com edy
-over time</w>
-y az
-bar on</w>
-unemp loyment</w>
-ðŁij ĭ
-exter ior</w>
-den se</w>
-cent res</w>
-match up</w>
-history month</w>
-artif icial
-qu it
-e sk
-war n</w>
-cr itic</w>
-j af
-ðŁĵ ²</w>
-inform ative</w>
-fu els</w>
-recy cle</w>
-nam ing</w>
-stri pe</w>
-sol ic
-mole cular</w>
-dee pi
-con vo</w>
-s sel</w>
-na e</w>
-de scent</w>
-ti z</w>
-accoun tability</w>
-ter ry
-r ito</w>
-sl ay</w>
-em o</w>
-dem ol
-sens ation</w>
-co v
-tor e</w>
-round table</w>
-y ol
-excu ses</w>
-ॠį</w>
-tur quo
-hh hh
-pod casts</w>
-cele b</w>
-me ssi
-li o</w>
-man n
-contribu ted</w>
-u z
-gener ator</w>
-ele ts</w>
-veg gie</w>
-indu l
-en suring</w>
-detro it
-pun jab
-tran spor
-instru ction</w>
-ad d
-por cel
-pan eli
-cir cles</w>
-persi st
-clay ton</w>
-sp n</w>
-dog softwitter</w>
-is nt</w>
-sp r</w>
-retail ers</w>
-p w
-hun gar
-el ena</w>
-mon aster
-gu atem
-je ssie</w>
-an z</w>
-ra shi
-fle e
-car ving</w>
-fau x</w>
-l al</w>
-hen ri
-d jo
-du ll</w>
-s ana</w>
-lar a</w>
-glo be
-cri mson</w>
-com pass</w>
-pau se</w>
-na b</w>
-lion el</w>
-ba ths</w>
-u fo</w>
-invent ory</w>
-sin gh
-sat an</w>
-ðŁĩ ¸
-ce ments</w>
-in form</w>
-gener ated</w>
-bi den</w>
-av g</w>
-tas ks</w>
-de er
-sa u</w>
-ja iled</w>
-pa stel</w>
-sc c</w>
-na il
-steel e</w>
-per is
-lamborgh ini</w>
-pur sue</w>
-mar gin
-u ch
-bo sch</w>
-dra in</w>
-cl ara</w>
-bo m</w>
-lat ino</w>
-web ster</w>
-rose mary</w>
-r ha
-s oun
-billion aire</w>
-not ch</w>
-percent age</w>
-con or</w>
-' "</w>
-hom es
-earth day</w>
-h ort</w>
-big gest
-di sin
-wal ton</w>
-edit ors</w>
-im ma</w>
-om ar
-equi valent</w>
-pharmac eu
-ah med
-cam eo</w>
-han ni
-under rated</w>
-ge ment</w>
-micro bi
-v oo
-honor able</w>
-obe sity</w>
-âļ ¡ï¸ı
-limer ick</w>
-invol vement</w>
-st agram</w>
-boule vard</w>
-bur g
-blackand white</w>
-liber ation</w>
-fi ve
-inter im</w>
-sm m</w>
-rival ry</w>
-cap abilities</w>
-stat ements</w>
-thu mb
-ve d
-sw ans</w>
-bar ber
-e que
-seren a</w>
-hel m</w>
-noo dle</w>
-sam pling</w>
-n awaz</w>
-sing le
-thunder storms</w>
-sh on
-in ev
-ë ¯
-to pp
-orch ard</w>
-bi an
-ðŁĺ Ķ
-door step</w>
-salv ation</w>
-marke ting
-r ons</w>
-cle mson</w>
-ra vi</w>
-in take</w>
-stand with
-sin a</w>
-ha iku</w>
-ple y</w>
-elector al</w>
-ph illy
-la ys</w>
-electr ic
-cap turing</w>
-u pp
-er gy</w>
-believ ing</w>
-cul tures</w>
-es day</w>
-inva sive</w>
-ed ed</w>
-spee ch
-end ur
-viet nam
-boy cott</w>
-pe de</w>
-deli ver
-ðŁĴĸ ðŁĴĸ
-mer chant</w>
-st ir</w>
-den ies</w>
-poc kets</w>
-o ti
-cu ddle</w>
-ro land</w>
-mm ed</w>
-den ed</w>
-lear ners</w>
-hoo p</w>
-sour cing</w>
-h acked</w>
-di m
-environ ments</w>
-ben son</w>
-jud icial</w>
-wor cester</w>
-pear ls</w>
-govern ments</w>
-arri vals</w>
-cor ners</w>
-tun ing</w>
-la bour
-y m</w>
-or dering</w>
-le wi
-i fe</w>
-hygi ene</w>
-thou ghtful</w>
-indone sian</w>
-campaig ning</w>
-princi ple</w>
-assau l
-ru bb
-at v</w>
-wil ly</w>
-en tre</w>
-il i</w>
-ph on
-du ties</w>
-âĻ¥ âĻ¥</w>
-sn akes</w>
-lo op
-am ar</w>
-conver tible</w>
-bon ding</w>
-ment oring</w>
-max well</w>
-ethere um</w>
-destro ying</w>
-ax is</w>
-ca iro</w>
-fin nish</w>
-sho ck
-ðŁĺ IJ</w>
-cal eb</w>
-com a</w>
-pe dal</w>
-co re
-contin ent</w>
-el son</w>
-temp o</w>
-helsin ki</w>
-ac p</w>
-tack ling</w>
-st ated</w>
-bl a</w>
-dou b
-sma shing</w>
-a ja</w>
-camer on
-disru ption</w>
-warm th</w>
-being salmankhan</w>
-bullet in</w>
-o de</w>
-syrac use</w>
-ar an</w>
-mc gregor</w>
-bul k</w>
-an ton</w>
-confir mation</w>
-sp ine</w>
-im ran
-instru c
-jac ks</w>
-chi o</w>
-pal m
-str e</w>
-embarra ssing</w>
-un t
-elimin ate</w>
-to ss</w>
-c ise</w>
-a ws</w>
-oni sts</w>
-sh inee</w>
-jo s</w>
-ho se</w>
-li vely</w>
-opp onents</w>
-mo vements</w>
-recogni zing</w>
-sandwich es</w>
-sh akes</w>
-exerc ises</w>
-se at
-profe ssion</w>
-merry christmas</w>
-lu gg
-adopt dont
-mar vin</w>
-byr ne</w>
-un le
-he t</w>
-ku wait</w>
-rah man</w>
-aspe ct</w>
-humb led</w>
-gen es</w>
-f and
-long time</w>
-) ;</w>
-cam pu
-an gus</w>
-ðŁijį ðŁı¼</w>
-q uran</w>
-sle eves</w>
-s lic
-¸ ë
-twel ve</w>
-your e</w>
-i ke</w>
-go gh</w>
-b st</w>
-dic tionary</w>
-reflec ting</w>
-to on</w>
-yar n</w>
-em bed
-ðŁı ´</w>
-re serves</w>
-floo ded</w>
-ver iz
-du sk</w>
-estab lish</w>
-pro li
-au d</w>
-ritu al</w>
-or bit</w>
-declar ation</w>
-recor dings</w>
-cam o</w>
-cas sette</w>
-good luck</w>
-cu tter</w>
-bo p</w>
-b ho
-che ating</w>
-paci fic
-ma res</w>
-tim er</w>
-col t</w>
-tr ous
-tomor row
-han sen</w>
-ci e</w>
-w ang
-ban i</w>
-circu lar</w>
-ac ute</w>
-far mer
-co ys</w>
-p se
-ir ving</w>
-w j
-haw kins</w>
-b ison</w>
-ur day</w>
-cru ising</w>
-o te</w>
-k ath</w>
-whi stle</w>
-your selves</w>
-ant is</w>
-sla sh</w>
-thorough ly</w>
-ke sh</w>
-ser ie</w>
-ex em
-en ig
-guil d
-sh red
-ho gan</w>
-ap o</w>
-ä ¸
-pu zz
-ne tball</w>
-au ssi
-panor ama</w>
-ws j</w>
-av is</w>
-ar ming</w>
-hum ph
-brow ser</w>
-cri es</w>
-fo ggy</w>
-mat te</w>
-ðŁĮ »</w>
-it er</w>
-tal lest</w>
-by ron</w>
-cap tiv
-je su
-any ways</w>
-flag ship</w>
-p ton</w>
-we y</w>
-fay ette</w>
-financi al
-f oul</w>
-solom on</w>
-jenni fer
-cucu mber</w>
-ar gue</w>
-tex tile</w>
-wrest ler</w>
-john ston</w>
-pa stor
-ðŁĺŃðŁĺŃ ðŁĺŃðŁĺŃ
-cac tus</w>
-edi ble</w>
-re served</w>
-ric hie</w>
-met res</w>
-ingredi ent</w>
-h ella</w>
-un to</w>
-ch ol
-cele bs</w>
-po ets</w>
-gra ham
-hay den</w>
-coinci dence</w>
-b aw
-communic ate</w>
-flet cher</w>
-/ -</w>
-tole do</w>
-ecu ador</w>
-coun sel</w>
-s laughter</w>
-line ar</w>
-at p</w>
-os u</w>
-jo el
-ev ed</w>
-conqu er</w>
-ru stic</w>
-plic ity</w>
-recogn ise</w>
-room mate</w>
-cr acked</w>
-jas per</w>
-ph er</w>
-ðŁĮ º</w>
-wo ven</w>
-mo ist
-ff c</w>
-ste ering</w>
-ni sh
-stand ings</w>
-frequ ent</w>
-ar di</w>
-haz el
-as msg</w>
-bau m</w>
-d art</w>
-si dd
-nat h</w>
-ch ero
-card board</w>
-c ss</w>
-n sfw</w>
-pa ir
-ðŁĺį ðŁĺĺ</w>
-occur red</w>
-homeless ness</w>
-mal one</w>
-ph e</w>
-xi a
-pad dy</w>
-decl are</w>
-theat re
-b f
-per sian</w>
-ta d</w>
-ax e</w>
-susp icious</w>
-lam b
-mu cho</w>
-sen ior
-st as</w>
-k ite</w>
-st ing
-gra d
-k af
-wat ering</w>
-Ø ¯
-spi ral</w>
-th ms</w>
-educ ator</w>
-jer ome</w>
-of c</w>
-clo ck
-su l</w>
-pe mb
-.... .....</w>
-park way</w>
-de aux</w>
-restric tions</w>
-m ons</w>
-need le</w>
-e j
-le agues</w>
-water melon</w>
-am an
-pl enary</w>
-max im
-w ab
-coming soon</w>
-bry ce</w>
-vi gil</w>
-super market</w>
-fortun ate</w>
-turquo ise</w>
-presi dent
-li v</w>
-inter ns</w>
-feel in</w>
-fix tures</w>
-stun t</w>
-st aged</w>
-premi eres</w>
-lo k
-prac titi
-shor tage</w>
-log ne</w>
-ve c
-con cor
-roc ke
-li g
-com posed</w>
-syn thetic</w>
-di p
-cam ila</w>
-ch is
-j ou
-su san
-eye brows</w>
-supp lement</w>
-satis faction</w>
-moham mad</w>
-ti bet
-house of
-pu n</w>
-as sam</w>
-shado whun
-psy ched
-se duc
-mand atory</w>
-her bert</w>
-sc allo
-stream ers</w>
-proto col</w>
-block buster</w>
-produc es</w>
-sch nei
-lau rel</w>
-tri be
-time hop</w>
-pl a</w>
-mod elling</w>
-tv time</w>
-mtv stars</w>
-wi dow</w>
-me tric</w>
-ch am</w>
-con do</w>
-flow ering</w>
-ale c</w>
-d ms</w>
-inten sity</w>
-Â ¨
-mccar tney</w>
-islam abad</w>
-k b</w>
-f fi
-ph al
-anal og</w>
-f ond</w>
-h acks</w>
-positi vity</w>
-treat y</w>
-sub marine</w>
-conne ct</w>
-sel en
-categor ies</w>
-cu b</w>
-organi ze</w>
-si k
-quote oftheday</w>
-remin ding</w>
-am or
-loc king</w>
-ðŁijı ðŁı¼</w>
-comp ound</w>
-et te
-b out
-rec ur
-fe rence</w>
-mi zz
-tren d
-hip ster</w>
-for tress</w>
-forth coming</w>
-preli min
-o dyssey</w>
-ang p</w>
-del ici
-even ings</w>
-ðŁĶ ¹</w>
-i q</w>
-d w</w>
-da ir
-kathr yn</w>
-christian ity</w>
-moon light</w>
-ha b</w>
-wh oo
-f bf</w>
-se th
-genu inely</w>
-pa x
-char ity
-deplo yed</w>
-b nb</w>
-bu cs</w>
-ju dg
-con ge
-plant ation</w>
-im press</w>
-car a</w>
-sc lub</w>
-sco py</w>
-land ers</w>
-compla ints</w>
-b ama</w>
-re build</w>
-x y
-real ism</w>
-sh our</w>
-le in
-brac elets</w>
-mer a</w>
-assas sin</w>
-an chor
-ðŁijĮ ðŁı¼</w>
-lin en</w>
-con fron
-chronic le</w>
-comm ent
-cat alog</w>
-il les</w>
-gor ge</w>
-me try</w>
-jung kook</w>
-love my
-sent in
-se em
-fit ness
-alli ed</w>
-ts man</w>
-digital transformation</w>
-pr an
-lo ft</w>
-min ton</w>
-alden richards</w>
-en vel
-cher ish</w>
-certain ty</w>
-zz z</w>
-rhin o</w>
-per kins</w>
-en rich
-cape town</w>
-ome ter</w>
-sec tions</w>
-ske leton</w>
-def enders</w>
-ðŁĺ Ŀ
-pen c
-bri t</w>
-ja h
-capital ism</w>
-ðŁ¥ ĩ</w>
-baz aar</w>
-re me
-ex t</w>
-kk k</w>
-conver t</w>
-stor my</w>
-b ye
-kar an
-chry sler</w>
-ad os</w>
-pre ssed</w>
-syn c</w>
-ation day</w>
-dang er
-bad ges</w>
-refu ses</w>
-em powering</w>
-ly m
-ex ports</w>
-adoptdont shop</w>
-ðŁĩ ¯
-th c</w>
-awa ited</w>
-focu ses</w>
-fin ed</w>
-o at
-haha hah</w>
-âģ ©
-n family</w>
-fi ona</w>
-luck ily</w>
-thr illing</w>
-ty ping</w>
-out break</w>
-di es
-he u
-craw l</w>
-ne sses</w>
-o ath</w>
-scri pts</w>
-gee ks</w>
-ðŁIJ Ŀ</w>
-p b
-mathemat ics</w>
-al is</w>
-________ ________
-gymna stics</w>
-acti vism</w>
-recommend ation</w>
-gre n</w>
-wa in</w>
-cour ty
-n apol
-cau li
-hor nets</w>
-g als</w>
-jo ckey</w>
-dir ty
-at ar
-enor mous</w>
-pe st
-greg ation</w>
-an os</w>
-ii ii
-def ends</w>
-black historymonth</w>
-at x</w>
-mb c</w>
-lugg age</w>
-wit ch
-co b
-la sts</w>
-cu m
-gg g</w>
-ba thing</w>
-n ar</w>
-ce bu</w>
-ðŁį ĥ</w>
-navig ation</w>
-min e
-re jo
-ðŁİ Ģ</w>
-gif tide
-re ta
-use less</w>
-pu ll
-defic it</w>
-al lu
-ati me</w>
-it v
-tr illion</w>
-pu e
-ac ies</w>
-proce dure</w>
-l ori
-jen ny
-c ad</w>
-ul ously</w>
-dr ac
-promo tes</w>
-ing the
-can u
-woo hoo</w>
-na omi</w>
-zar dari</w>
-ts u</w>
-be ir
-sd g</w>
-le ver
-we ber</w>
-ab ud
-lun d</w>
-crow ded</w>
-deplo yment</w>
-ter rain</w>
-ken ny
-ho f
-witne ssed</w>
-lo ch
-j k
-bul ly</w>
-w ren
-poe try
-do ff</w>
-ww i</w>
-mo red</w>
-din i</w>
-cul ture
-promp t</w>
-Â ¥</w>
-maur ice</w>
-to pps</w>
-r m
-cor respon
-ab out
-jewel s</w>
-gi br
-eag le
-ðŁĺĺ ðŁĺĺðŁĺĺ</w>
-l ending</w>
-sou ven
-ç Ķ
-contemporary art</w>
-establi shment</w>
-j ong
-âĢ¦ "</w>
-gat or
-patri otic</w>
-mc coy</w>
-v ape</w>
-human e</w>
-feli z</w>
-coach ella</w>
-re posting</w>
-ste als</w>
-fu ller</w>
-n ering</w>
-at ra
-( -</w>
-bla ke
-he ather
-wor ms</w>
-discipl inary</w>
-rede mption</w>
-y ard
-am in</w>
-" @_</w>
-d nc</w>
-t ds</w>
-k appa</w>
-ne wark</w>
-comm its</w>
-spe ars</w>
-j ams</w>
-t and
-msn bc</w>
-inter medi
-aim ed</w>
-at ic
-teen th</w>
-observ ation</w>
-kash mir
-kavan augh</w>
-ou l
-san francisco</w>
-re u
-bel ated</w>
-cho w
-pass word</w>
-st ills</w>
-deta ined</w>
-sar i</w>
-day ton</w>
-dar ren
-itali an
-ar th</w>
-amu sic</w>
-ar bit
-w m
-v m</w>
-he m
-dou g
-my r
-a sho
-pre v
-vin d</w>
-bra h
-sta g</w>
-ภµ</w>
-pre views</w>
-gu k</w>
-con taining</w>
-leon ardo</w>
-sad dle</w>
-ru shing</w>
-st av
-lon gh
-gam bling</w>
-ve gas
-reserv ation</w>
-end ale</w>
-bal a</w>
-fl a</w>
-vari ant</w>
-he dge</w>
-bulgar ia</w>
-nat ali
-we aver</w>
-sol st
-encoura ged</w>
-ap c</w>
-as parag
-ne st
-cycli sts</w>
-fe l</w>
-ìĬ ¤
-overwhel ming</w>
-pey ton</w>
-j it</w>
-a post
-mb le
-ble eding</w>
-neighbour hood</w>
-a very</w>
-expre ssions</w>
-mac donald</w>
-gi gs</w>
-mon ds</w>
-illu sion</w>
-n ct</w>
-cam ero
-over head</w>
-my th
-ol y
-vi o</w>
-et v</w>
-lau rie</w>
-unve iling</w>
-pri or
-con n</w>
-iron man</w>
-di ff</w>
-day in
-crit ici
-con go</w>
-re vision</w>
-wal e</w>
-direc tor
-p ines</w>
-black pink</w>
-gar ner</w>
-cur ated</w>
-manit oba</w>
-h ac
-common ly</w>
-bar ton</w>
-.... #</w>
-mor tality</w>
-live smatter</w>
-philos op
-shor ter</w>
-con vince</w>
-fre ak
-vend ors</w>
-insi ghtful</w>
-el ly</w>
-sens ors</w>
-e led</w>
-s berg</w>
-weight loss</w>
-u kip</w>
-sp ur</w>
-priv ate
-qu a</w>
-ss c</w>
-, ...</w>
-supervis or</w>
-advis er</w>
-amaz ingly</w>
-less er</w>
-at es
-mah on</w>
-oooo oo</w>
-sar as
-pmo india</w>
-waff le</w>
-un ders</w>
-toler ance</w>
-sculp tures</w>
-her sh
-kno cking</w>
-smo ke
-cathol ic
-gri m
-tra veled</w>
-fli p
-ge off</w>
-dinosa urs</w>
-sle pt</w>
-scar let</w>
-ok i</w>
-compla int</w>
-ob sc
-nam i
-la g</w>
-cross fit</w>
-u fc
-mc cain</w>
-refe ree</w>
-sad ness</w>
-pen ny
-li eu
-mo de
-ki er
-vol s</w>
-w is</w>
-el on</w>
-she a</w>
-ba o</w>
-son ia</w>
-cla ire
-em manuel</w>
-moist ure</w>
-di gest</w>
-vi ii</w>
-t eller</w>
-ch on
-access ory</w>
-night club</w>
-foss il
-aw an</w>
-hu sky</w>
-ab original</w>
-brand on
-ffici ent</w>
-cou gars</w>
-ste d
-ad mitted</w>
-igno red</w>
-content marketing</w>
-ag as
-v ase</w>
-execu ted</w>
-negoti ations</w>
-she ad</w>
-n and
-tab lets</w>
-go th</w>
-ts al</w>
-d fw</w>
-on ep
-protec tor</w>
-sp ho
-gaz ette</w>
-andre as</w>
-ss er</w>
-comp ilation</w>
-ha v</w>
-contain ers</w>
-bro ker</w>
-soc al</w>
-porcel ain</w>
-hy uk</w>
-air ing</w>
-ðŁĴ °
-publi sher</w>
-scen ario</w>
-spart ans</w>
-re viewing</w>
-itu des</w>
-ed el
-pear son</w>
-ba sh
-mau i</w>
-a ad
-ðŁĮ Ĭ
-li u</w>
-ul ate</w>
-program mes</w>
-fav our</w>
-web design</w>
-real ty</w>
-motiv ational</w>
-cro sses</w>
-' ...</w>
-bus ch</w>
-adjust able</w>
-ar jun</w>
-mist ak
-dimen sion</w>
-pi stol</w>
-weigh s</w>
-en y</w>
-unve il</w>
-indy car</w>
-gor don
-f ade</w>
-fran ken
-qual ities</w>
-bet t</w>
-loc ate</w>
-ker r</w>
-sp c</w>
-confu sion</w>
-ne e
-luck y
-bas es</w>
-dep ends</w>
-fire fighter</w>
-ol a
-re t
-mar oon</w>
-ðŁĶ Ĭ</w>
-w am
-defin ing</w>
-whe at
-bi l</w>
-é s</w>
-b hai</w>
-psy ch</w>
-ta u</w>
-ic ans</w>
-thi k</w>
-ob ile</w>
-inspec tor</w>
-ìĨ Įë
-ill on</w>
-go s
-ev angel
-fa i
-si st</w>
-voc ation</w>
-bur ge
-chi stan</w>
-renew ed</w>
-enthusi asm</w>
-en ting</w>
-ag ri
-ike a</w>
-m sc</w>
-aero space</w>
-sens iti
-memo ir</w>
-hosp ice</w>
-co caine</w>
-der ry</w>
-mechan ics</w>
-Ħ à¸
-tin o</w>
-reduc es</w>
-collec tors</w>
-in justice</w>
-supp re
-v ana</w>
-ab un
-nap a</w>
-su sa</w>
-os lo</w>
-e ff
-en core</w>
-lic ence</w>
-ched dar</w>
-z al
-moun t
-ðŁĴ IJ</w>
-threat ens</w>
-!! "</w>
-archi e</w>
-fu tsal</w>
-scu ba</w>
-jo s
-gn on</w>
-se xi
-s official</w>
-compar ing</w>
-domin ant</w>
-tof theday</w>
-fa it</w>
-propos als</w>
-gi ft
-y as</w>
-cn c</w>
-l r
-ha b
-reser voir</w>
-beli efs</w>
-gener al
-mar ti
-t d
-est e</w>
-ì ł
-wi l</w>
-ðŁij ¯</w>
-ðŁĶ «</w>
-sp x</w>
-et work</w>
-excer pt</w>
-e instein</w>
-hir o</w>
-sil hou
-team ed</w>
-per ception</w>
-corri dor</w>
-mental health
-hin ts</w>
-ben ny</w>
-induc ted</w>
-sw x</w>
-wi desp
-spe ak
-cher yl</w>
-dru g
-ðŁĺ ķ</w>
-h f</w>
-asparag us</w>
-myster ies</w>
-fitz gerald</w>
-off er
-therap ist</w>
-care er
-dam aging</w>
-ts d</w>
-per u
-wei bo</w>
-y ay
-phoeni x
-disc re
-mac book</w>
-bar ker</w>
-stig ma</w>
-sp read
-roc kies</w>
-kang ar
-bri dg
-pa i
-bi shop
-ta iled</w>
-capsu le</w>
-ðŁĴ ĵ
-ge of
-roy ale</w>
-short listed</w>
-o ste
-ash amed</w>
-ch app
-key e</w>
-cl a</w>
-screen shot
-austri an</w>
-nati ve
-en ight</w>
-juli et</w>
-michel e</w>
-ðŁĮ ´
-travel ers</w>
-pi l</w>
-football er</w>
-win chester</w>
-ðŁĻ Ħ
-azer bai
-gold eng
-organis ations</w>
-interpre tation</w>
-predat or</w>
-ofthe week</w>
-lo gan
-pok é
-mari e
-cal la
-t nt</w>
-cin de
-ge tic</w>
-fit fam</w>
-gra v
-ow ens</w>
-ðŁĮ ±</w>
-shoot out</w>
-sal is
-commissi ons</w>
-co he
-p tic</w>
-ni xon</w>
-hi a</w>
-amb ition</w>
-mar ine
-cruel ty</w>
-t k</w>
-cru de</w>
-sal ty</w>
-jim a</w>
-mon go
-ir ony</w>
-on wards</w>
-arre sts</w>
-strang ers</w>
-ig er</w>
-cycli st</w>
-ra g</w>
-exten ds</w>
-tra dio</w>
-bour g</w>
-mo i
-el la
-e able</w>
-lex us</w>
-au l
-der a</w>
-histor ian</w>
-mor ton</w>
-ti ff</w>
-man ner</w>
-ko t</w>
-d k
-po inted</w>
-mar qu
-a an
-en ey</w>
-du blin
-on poli</w>
-em ili
-secre t
-fl o</w>
-âļ ¡</w>
-ba j
-ste ep</w>
-accompan ied</w>
-rum ours</w>
-dev i</w>
-purch asing</w>
-fi g</w>
-pu b
-sch oo
-autonom ous</w>
-go alie</w>
-x ia</w>
-autom atically</w>
-re vers
-ter o
-fu ku
-titan ic</w>
-shoo k</w>
-sand als</w>
-see kers</w>
-exc av
-nor dic</w>
-bigo live</w>
-ba ke
-r att
-z ak</w>
-ne p
-ðŁĺ ¤</w>
-cand y
-billi ons</w>
-book worm</w>
-pp et</w>
-à ³
-sur faces</w>
-sc ars</w>
-phil ip
-do gg</w>
-ci gars</w>
-co te</w>
-transl ated</w>
-cur ator</w>
-sin dh</w>
-han gover</w>
-bre wer</w>
-on es
-el ton</w>
-ðŁĴª ðŁı¼</w>
-mar cu
-elli ot</w>
-righ te
-di oce
-ru ss</w>
-rail ways</w>
-grand son</w>
-as cen
-apo logy</w>
-awa it</w>
-mob ili
-re spir
-parti san</w>
-oli vi
-stri ke
-yo o</w>
-white house</w>
-expre ssed</w>
-pu ps</w>
-bed ford</w>
-cul tur
-fro gs</w>
-fly ing
-cav ali
-c ds</w>
-fri ger
-street photography</w>
-re solve</w>
-tali ban</w>
-kan g</w>
-cru shing</w>
-ju m
-ðŁĺ Ĵ
-william son</w>
-tan g</w>
-cur ly</w>
-t man</w>
-veter an
-fa ire</w>
-artificial intelligence</w>
-un anim
-pre n
-back drop</w>
-fr ances</w>
-oc cer</w>
-doro thy</w>
-work ing
-ar thr
-conver ted</w>
-day light</w>
-serv ant</w>
-pad dle</w>
-compla ining</w>
-thir ty</w>
-nad al</w>
-ak u</w>
-ibra him</w>
-ad dressed</w>
-p iss</w>
-green house</w>
-batt alion</w>
-si mulator</w>
-out lets</w>
-embroi dery</w>
-ðŁĵ ±</w>
-fis cal</w>
-ger ard</w>
-sas sy</w>
-ðŁİī ðŁİīðŁİī</w>
-vent ures</w>
-mer it</w>
-public ity</w>
-ðŁij Ī</w>
-sophistic ated</w>
-c tu
-conven tional</w>
-condol ences</w>
-isra el
-tra dition
-ar an
-te ss</w>
-gla d
-ðŁĺĬ ðŁĺĬ</w>
-correc tion</w>
-ge on
-am d</w>
-or ship</w>
-be ast
-ch ment</w>
-ì ŀ
-nic o
-wk nd</w>
-wel s</w>
-cushi on</w>
-beli e
-vo c</w>
-idio ts</w>
-under neath</w>
-pu ma</w>
-corn ell</w>
-en ation</w>
-lu l
-swa ch
-ab ig
-u rer</w>
-mi e
-form erly</w>
-ca f</w>
-er nal</w>
-chor us</w>
-juli us</w>
-sen ator
-âľ į
-wh ir
-salv ador</w>
-ph d
-uni fied</w>
-boo ster</w>
-graph ical</w>
-w rec
-son ny</w>
-mi z
-dere rs</w>
-s all</w>
-ven s</w>
-tusc any</w>
-wi d</w>
-y ong</w>
-kur ds</w>
-w az
-trol ls</w>
-mac ro
-cat urday</w>
-pre ssing</w>
-sa sha</w>
-cent ennial</w>
-gu sts</w>
-em c
-be fore
-den ise</w>
-cu st
-ðŁĵ ¢</w>
-lo oo
-base l</w>
-eng land
-y olo</w>
-ar du
-manife sto</w>
-do ha</w>
-ì ľ
-kni ves</w>
-bourne mouth</w>
-bi bl
-bar b</w>
-al icia</w>
-Ø ©</w>
-com er</w>
-cycl one</w>
-g it</w>
-ane ws</w>
-character i
-vent ura</w>
-in tra
-sf giants</w>
-hu t
-be a</w>
-dar win</w>
-ell er
-al v
-re ese</w>
-bl y
-kar an</w>
-conclu sion</w>
-man ny</w>
-fla kes</w>
-unite blue</w>
-nad u</w>
-co pp
-ed ges</w>
-lanca shire</w>
-i als</w>
-o tta</w>
-philipp e</w>
-l ent
-che e</w>
-ment ors</w>
-festi val
-an ism</w>
-compli mentary</w>
-r j</w>
-pu g
-d ine
-we i</w>
-cli ffs</w>
-sar my</w>
-ti veness</w>
-treas ury</w>
-il and</w>
-after math</w>
-rabb i</w>
-ou n</w>
-bou quet</w>
-herit age
-zi on</w>
-sur render</w>
-shen an
-in ks</w>
-kar l
-gh ty
-pol icing</w>
-exam ination</w>
-ce y</w>
-per su
-measure ment</w>
-hydro gen</w>
-lu han</w>
-âłĢâłĢ âłĢâłĢ
-war i</w>
-о Ð
-j y
-fow ler</w>
-mis h</w>
-al fre
-âĺ ij
-bb naija</w>
-cat alogue</w>
-recogn ised</w>
-sa ver</w>
-hu skies</w>
-col in
-mun do</w>
-si va</w>
-p ng</w>
-discoun ted</w>
-man utd</w>
-fre sno</w>
-de vin</w>
-prelimin ary</w>
-tro phies</w>
-pla stics</w>
-du g</w>
-pro cu
-indi go</w>
-g ard</w>
-dy lan
-pit ches</w>
-ground breaking</w>
-in son</w>
-bl ac
-an thology</w>
-f h</w>
-expl ic
-r ard</w>
-admi ral</w>
-so chi</w>
-la shes</w>
-splen did</w>
-en vy</w>
-ad v</w>
-sex y
-festiv ities</w>
-stic king</w>
-bi b</w>
-thr ill</w>
-op p</w>
-ari el</w>
-botan ical</w>
-endur ance</w>
-fe males</w>
-br icks</w>
-vat ican</w>
-black pool</w>
-ber mu
-br ough</w>
-roll er
-bi d
-sue de</w>
-sloven ia</w>
-mm ing
-ml b
-med alist</w>
-di ans</w>
-rehabil itation</w>
-ne on
-s go</w>
-li thu
-ram os</w>
-z ed
-pi anist</w>
-inten sive</w>
-broad band</w>
-stu dy
-peter sburg</w>
-lu ca</w>
-ah hhh</w>
-phys ician</w>
-dill on</w>
-tele com</w>
-gri ef</w>
-mu n</w>
-ac ro
-si ded</w>
-s ly</w>
-blo ws</w>
-classic cars</w>
-tri um
-ar gy
-? :</w>
-h ri
-marsh mal
-âĢ ĵ
-to pping</w>
-war saw</w>
-tran sc
-preserv ation</w>
-b av
-re friger
-experim ents</w>
-ä º
-gl it
-sli ga</w>
-g age</w>
-fac tor
-flav ours</w>
-br ony</w>
-sp o</w>
-cook book</w>
-carri age</w>
-aw ay
-ny fw</w>
-on ian</w>
-w g
-simp sons</w>
-ro lex</w>
-ðŁı ¿</w>
-cro sby</w>
-ãħ ¤
-cre di
-syn dic
-pu bs</w>
-ali fe</w>
-poor ly</w>
-mac ed
-ðŁĺ ŀ</w>
-behin dthe
-w enger</w>
-n ats</w>
-ðŁİ Ł</w>
-rubb ish</w>
-procedu res</w>
-typho on</w>
-opho bia</w>
-er do
-fu el
-vi era</w>
-bu mps</w>
-millenni um</w>
-new zealand</w>
-lec tures</w>
-it on</w>
-mil ky</w>
-respon ded</w>
-ê °
-landsc ape
-.. @</w>
-bo ther</w>
-âĸ ¶</w>
-z hang</w>
-huawe i</w>
-tu ition</w>
-s worn</w>
-in u
-y or</w>
-pa olo</w>
-au ditions</w>
-ab il
-malay sian</w>
-ho ps</w>
-fe athers</w>
-mp le</w>
-au ts</w>
-ã o</w>
-boun ty</w>
-ic he</w>
-ì ĺ
-sh q</w>
-pin ot</w>
-ge ars</w>
-disapp ear
-video games</w>
-t na</w>
-alzheim er</w>
-ðŁĮ ŀ
-a ji</w>
-under wear</w>
-swit ching</w>
-sign age</w>
-o scar
-ec on</w>
-dro w
-cl int</w>
-pl ated</w>
-gun dy</w>
-emb lem</w>
-ho es</w>
-ici st</w>
-nel ly</w>
-juni or
-road show</w>
-miner als</w>
-at le
-alexand ria</w>
-ac claimed</w>
-v ell
-shi va</w>
-ad he
-en ne
-amne sty</w>
-h ounds</w>
-councill or</w>
-ðŁĴ ¦
-aes the
-part nering</w>
-influ enced</w>
-mag no
-fl are</w>
-extin ction</w>
-civil ian</w>
-maje sty</w>
-va il</w>
-law makers</w>
-rac ks</w>
-mc c</w>
-ori an</w>
-sp ices</w>
-er rors</w>
-may er</w>
-co ca</w>
-pa i</w>
-s ooooo</w>
-reti ring</w>
-ba thro
-ðŁĻĮ ðŁĻĮ
-âĸ ª
-su f
-endor sement</w>
-buil ding
-broo ch</w>
-pal la
-arvin d
-ag ent
-kar ate</w>
-r hi
-c tv
-ta ine
-um m</w>
-ba x
-reig ns</w>
-uni of
-enterpri ses</w>
-adel e</w>
-fla ke</w>
-at tire</w>
-bru ce
-ba hamas</w>
-gra vy</w>
-sa in
-che ek</w>
-tri vi
-lo v</w>
-e en</w>
-bb lo
-lady gaga</w>
-itt a</w>
-. "-</w>
-du stin</w>
-observ atory</w>
-eigh th</w>
-bloom berg</w>
-kh s</w>
-f cc</w>
-gi st</w>
-commemor ate</w>
-ve er
-sexu ality</w>
-ed c</w>
-nic ole
-vac ancy</w>
-u ser
-son a</w>
-:' (</w>
-dipl oma</w>
-t end</w>
-up grades</w>
-Å Ł
-jura ssic</w>
-cardi ac</w>
-dr s</w>
-widesp read</w>
-Ã ł</w>
-dail ies</w>
-vend or</w>
-sim plicity</w>
-wi der</w>
-len ses</w>
-supp lements</w>
-de pos
-ob served</w>
-vin es</w>
-parti ally</w>
-renew al</w>
-collabor ate</w>
-ali g
-fin ity</w>
-ph u
-zz y
-pe tit</w>
-ðŁĵ ħ</w>
-z in</w>
-i gu
-sm ack
-fall on</w>
-ðŁĵ £</w>
-back wards</w>
-comp onent</w>
-o so</w>
-compati ble</w>
-bin ding</w>
-zur ich</w>
-thom e</w>
-w ounds</w>
-ly ric</w>
-fresh men</w>
-sne aky</w>
-fi bro
-di et
-emplo yer</w>
-in sect</w>
-h ated</w>
-sch er</w>
-raz or</w>
-n sw
-boo ker</w>
-califor ni
-av fc</w>
-Â °
-preten ding</w>
-pep si</w>
-al is
-un titled</w>
-k art</w>
-grand parents</w>
-e the
-o ck</w>
-lux emb
-visu als</w>
-small business</w>
-abdul lah</w>
-min ho</w>
-su baru</w>
-h ra
-reve aling</w>
-heart breaking</w>
-clar ity</w>
-am g</w>
-sl r</w>
-** **
-âŀ ĸ
-recor d
-ici ary</w>
-min ded</w>
-ye h</w>
-exce ssive</w>
-knu ck
-icec ream</w>
-tru th
-ev ic
-ta stic</w>
-ant arc
-ren dering</w>
-, ,
-mit t</w>
-loren zo</w>
-st patrick
-bound ary</w>
-zi g</w>
-vo cab
-osa ka</w>
-fur n
-tu n</w>
-gu l</w>
-s ounding</w>
-blo gger
-utter ly</w>
-g af
-adv ancing</w>
-l cd</w>
-mar gin</w>
-lifel ong</w>
-solst ice</w>
-sh ra
-wa its</w>
-ple ar
-bre ach</w>
-en ligh
-ad er</w>
-itt le</w>
-c ation</w>
-ho on</w>
-stu died</w>
-?? ???</w>
-k ash</w>
-ev angeli
-ps l</w>
-wei ghts</w>
-met als</w>
-ty res</w>
-tur no
-wi e
-car b</w>
-g ale</w>
-se al
-sun ite</w>
-am ic</w>
-patter son</w>
-á n</w>
-eu ph
-up stairs</w>
-quali fiers</w>
-khali fa</w>
-apple music</w>
-ìĨĮë ħ
-vau ghan</w>
-al ter</w>
-cru iser</w>
-mu a</w>
-t ana</w>
-kat rina</w>
-id ols</w>
-spo iled</w>
-secre tly</w>
-fi bre</w>
-part nered</w>
-um es</w>
-gi ov
-com et</w>
-screenshot saturday</w>
-k eller</w>
-fil tr
-fe t
-con way</w>
-pe u
-bad minton</w>
-gi d</w>
-m ound</w>
-don key</w>
-bu ff</w>
-lea ther
-lar gely</w>
-bro ch
-int ments</w>
-am use
-r k</w>
-sto ve</w>
-impac ted</w>
-con t</w>
-cr acks</w>
-prison er</w>
-bar i
-contrac tor</w>
-ori oles</w>
-domin ate</w>
-pol ar
-am elia</w>
-dr c</w>
-ðŁijĮ ðŁijĮ</w>
-vi st</w>
-su arez</w>
-injec tion</w>
-blo oms</w>
-ðŁļ¨ ðŁļ¨</w>
-sti ff</w>
-pay pal</w>
-sno wing</w>
-thur sdays</w>
-goo se
-we dge</w>
-educ ated</w>
-weak ness</w>
-de cker</w>
-abud ha
-bree zy</w>
-Û Į
-hope ful</w>
-o bi
-rai der</w>
-gh am
-de u
-se ve
-par tly</w>
-fu t
-infu sed</w>
-mer ri
-than e</w>
-some time</w>
-hu e</w>
-me in</w>
-cre dit
-sli ding</w>
-ran de</w>
-cher ry
-dead pool</w>
-sh ol
-ar am</w>
-under wood</w>
-sky e</w>
-distur bing</w>
-m nt</w>
-poli shed</w>
-guardi ans</w>
-ha dn</w>
-pic asso</w>
-ari us</w>
-ak shay
-ir ri
-j h</w>
-happ en
-la kh</w>
-dal ton</w>
-at the
-s well</w>
-mar sha</w>
-re h
-cour s</w>
-j kt</w>
-top us</w>
-serv ice
-r ink</w>
-hack ers</w>
-dono van</w>
-hor o
-tc m
-may hem</w>
-cha se
-dev ops</w>
-ken sing
-sc up</w>
-sh ere</w>
-quali fication</w>
-c live</w>
-ton g</w>
-n ancy
-mar is
-der dale</w>
-ber man</w>
-cinde rella</w>
-jol ly</w>
-ci c</w>
-loo t</w>
-collecti bles</w>
-hom icide</w>
-g ge
-epide mic</w>
-su ites</w>
-mu ddy</w>
-gi mme</w>
-e rec
-- *</w>
-tal la
-lis le</w>
-embro ide
-ðŁĩ© ðŁĩª</w>
-veriz on</w>
-ve ctor</w>
-be anie</w>
-arti san</w>
-ga in
-flo res</w>
-vi gil
-u so</w>
-ðŁĻı ðŁı½</w>
-grin ding</w>
-gh er
-air ports</w>
-respon sive</w>
-shaf t</w>
-can cel</w>
-ceremon ies</w>
-e me</w>
-at ari</w>
-bru shes</w>
-eag er</w>
-bo hemi
-children s</w>
-yan kee</w>
-ma a</w>
-suspen se</w>
-mor an</w>
-mac ar
-sun flower</w>
-cre w
-vo id</w>
-ke ar
-fashi oned</w>
-jen nings</w>
-sunday funday</w>
-sub missions</w>
-me ad</w>
-her man</w>
-wa i</w>
-crit ically</w>
-le um</w>
-baek hyun</w>
-for cing</w>
-co bra</w>
-ãģ ®
-acqu ire</w>
-al k</w>
-ge ology</w>
-pri mar
-import antly</w>
-ire z</w>
-bunde sliga</w>
-curi osity</w>
-sen a</w>
-stric t</w>
-con soli
-win ters</w>
-ven om</w>
-chelten ham</w>
-ðŁį º</w>
-cen a</w>
-t at</w>
-ba in</w>
-glo ver</w>
-under cover</w>
-as ses</w>
-car n
-memorial day</w>
-am eli
-i rene</w>
-ch on</w>
-syn thesis</w>
-spe edy</w>
-mitsu bi
-sla yer</w>
-compos ite</w>
-under stands</w>
-pe w
-inter rup
-hen ri</w>
-mor row</w>
-an om
-thof july</w>
-g lee</w>
-thre e
-ðŁĺ ®</w>
-and hi</w>
-ch att
-renew ables</w>
-ye s
-trans fers</w>
-!!!! !!!!</w>
-bab u</w>
-du ter
-lo ops</w>
-pe ers</w>
-o ilers</w>
-pau lo</w>
-ic ation</w>
-h mu</w>
-war a</w>
-mer cer</w>
-hom eland</w>
-fu ji</w>
-ale y</w>
-year book</w>
-re m</w>
-re en
-ab sur
-bo is</w>
-] :</w>
-caes ar</w>
-shot gun</w>
-kur dish</w>
-o ren
-ra e
-anci es</w>
-ty pic
-f h
-def ault</w>
-re plic
-lu k</w>
-trans actions</w>
-r ys</w>
-infan try</w>
-ðŁį ¾</w>
-cho w</w>
-chick ens</w>
-ba gh
-wy att</w>
-ay e
-gg i</w>
-bre ws</w>
-ed itions</w>
-mi ra
-commen cement</w>
-pre su
-peris cope</w>
-ic hi
-guatem ala</w>
-zam bia</w>
-pain ts</w>
-wit ches</w>
-wan i</w>
-un dere
-cro y
-vo ws</w>
-us mc</w>
-hear ted</w>
-theat res</w>
-shu ffle</w>
-le vel
-mul tic
-squee ze</w>
-fer n</w>
-app et
-post al</w>
-mal t</w>
-on board</w>
-ld nt</w>
-co o</w>
-s sc
-k ac
-ðŁĺ ĩ
-sc rap</w>
-mar cos</w>
-deal ers</w>
-ann u
-mill er
-co ve
-ul ary</w>
-vladi mir</w>
-be ef
-th ur</w>
-pick led</w>
-se same</w>
-bengal uru</w>
-mo tt</w>
-kathle en</w>
-hi st
-no tor
-dr ank</w>
-du chess</w>
-snow fall</w>
-e ff</w>
-tin y
-j n</w>
-sy our
-speci alists</w>
-scot us</w>
-bay lor</w>
-eve rest</w>
-mali bu</w>
-pre m</w>
-harm ful</w>
-l ali
-b ates</w>
-g ye
-differen ti
-and ra</w>
-geome try</w>
-el over</w>
-black out</w>
-== ==
-ko ta</w>
-inter act</w>
-asi an
-la yo
-samu rai</w>
-fi del
-exhau sted</w>
-gla di
-pd t</w>
-spher ic</w>
-anti qu
-guit ar
-stu ri
-ho pper</w>
-ang le
-f ills</w>
-sla p</w>
-mi th
-rod ney</w>
-ong i</w>
-in som
-pre venting</w>
-cassi dy</w>
-ap ho
-ore gon
-lo in</w>
-ham mond</w>
-contribu ting</w>
-f n</w>
-gar ri
-ori on</w>
-comp elling</w>
-escap ing</w>
-aim ing</w>
-plu mb
-bi stro</w>
-be asts</w>
-concer ning</w>
-bo e</w>
-do pp
-shop local</w>
-stumb led</w>
-âĤ ¹</w>
-naz is</w>
-âĢįâĻĤ ï¸ı
-gest ure</w>
-war ts</w>
-us open</w>
-hi ggins</w>
-char li
-hang s</w>
-bom bers</w>
-° :</w>
-fe eds</w>
-c ch
-st il
-nic ola</w>
-ðŁĵ º
-clam ation</w>
-tro pic
-af ro</w>
-ou k</w>
-expen ses</w>
-der rick</w>
-al ine</w>
-fa w
-reg ard</w>
-im er</w>
-sat in</w>
-thi um</w>
-ry der</w>
-pear l
-te ss
-mm mmm</w>
-sen ses</w>
-ðŁĩ ¹
-positi ve
-exhau st</w>
-occu r</w>
-nor ris</w>
-lil ly</w>
-is les</w>
-direc ting</w>
-yo fficial</w>
-count less</w>
-sam ar
-on stage</w>
-flo ck</w>
-mir rors</w>
-arch er</w>
-mo i</w>
-k d
-vi v
-in os</w>
-si kh</w>
-le i</w>
-sen sory</w>
-br its</w>
-kno x</w>
-chest nut</w>
-op y</w>
-coli seum</w>
-z af
-di vin
-adap ter</w>
-:) ))</w>
-tem ple
-ku n</w>
-hel mets</w>
-t df</w>
-gu ide
-m old</w>
-o ids</w>
-lu ther
-he is
-monaster y</w>
-sp ree</w>
-k lu
-brit ney</w>
-jagu ars</w>
-gre ats</w>
-c cc</w>
-ky rie</w>
-machin ery</w>
-cric ket
-re ro</w>
-ab o</w>
-aspir ing</w>
-semi finals</w>
-ale ss
-sig natures</w>
-var d
-me th
-her bal</w>
-hol den</w>
-king dom
-ap or
-reg gie</w>
-ore o</w>
-palestin ians</w>
-em mys</w>
-sec tional</w>
-ro i</w>
-ney mar</w>
-qu el</w>
-cu ll
-l ka</w>
-haz el</w>
-estim ate</w>
-ul ties</w>
-go w
-be a
-purch ases</w>
-bel ts</w>
-protec ts</w>
-m é
-gue ssing</w>
-bb o</w>
-clau dia</w>
-fr acking</w>
-jon ny</w>
-el k</w>
-cel tic
-al mighty</w>
-ra je
-courty ard</w>
-ig i</w>
-can es</w>
-ðŁĴª ðŁı»</w>
-bank rup
-le thal</w>
-âľĮ ï¸ı
-graphic design</w>
-vad er</w>
-penc ils</w>
-rough ly</w>
-dan te</w>
-m fg</w>
-const ell
-cam el</w>
-j b
-bloss oms</w>
-en to
-balo chistan</w>
-cine mato
-ill ard</w>
-jer sey
-con sent</w>
-dent ed</w>
-con templ
-sch er
-hol i</w>
-lou gh
-st our</w>
-a yo
-begin ners</w>
-cur b</w>
-v hs</w>
-a jax</w>
-du ff</w>
-av eng
-dom est
-commit ting</w>
-ai red</w>
-cha p</w>
-hedge hog</w>
-disappo inting</w>
-freel ance</w>
-in land</w>
-char ms</w>
-ðŁĺį âĿ¤ï¸ı</w>
-ai sh
-m x
-buck le</w>
-ti dal</w>
-per mit</w>
-bo ating</w>
-ra cha
-kend rick</w>
-b ello</w>
-b hi</w>
-ple a</w>
-estim ates</w>
-l b
-apo logies</w>
-jay a</w>
-bb l</w>
-ast oni
-inter state</w>
-main taining</w>
-el bow</w>
-mu p</w>
-ep it
-ðŁĺ ¡
-viol ations</w>
-def end
-be h
-sl c</w>
-am ir</w>
-pur i</w>
-ti um</w>
-fi fa
-blur ry</w>
-scri m
-ðŁĻı ðŁı¾</w>
-ma ple
-rel atives</w>
-âĺ Ŀ
-cho c</w>
-con nor
-⾨ ⾨</w>
-whi sp
-list ings</w>
-ma ze</w>
-than king</w>
-ri dd
-grass roots</w>
-shi fting</w>
-desper ately</w>
-gor illa</w>
-den i
-ju les</w>
-stra th
-g ley</w>
-ja in</w>
-bu ick</w>
-t anner</w>
-ðŁĴ Ŀ</w>
-ga e</w>
-pri m
-it ors</w>
-n ano</w>
-separ ation</w>
-armen ia</w>
-bor deaux</w>
-ðŁ ħ
-pj net</w>
-bu rial</w>
-e bon
-glo ss</w>
-re new</w>
-gri er</w>
-spe eds</w>
-comic books</w>
-sym boli
-pur poses</w>
-ãħł ãħł
-spati al</w>
-no table</w>
-ci on</w>
-n ps</w>
-ho ffman</w>
-nor man
-rt g</w>
-du sty</w>
-situ ated</w>
-tr an</w>
-k fc</w>
-em en</w>
-nic kel</w>
-hast ings</w>
-sett ling</w>
-gr it
-l ena</w>
-w aw
-art s
-gu m
-ca regi
-le wis
-sapp hire</w>
-rememb er
-embed ded</w>
-t lc</w>
-bl at
-serge ant</w>
-el sa</w>
-boot camp</w>
-bow man</w>
-photo graphic</w>
-pill ars</w>
-direction ers</w>
-classi fied</w>
-no is
-ve er</w>
-barre ls</w>
-wh oop</w>
-ðŁĺ± ðŁĺ±
-fe male
-petro leum</w>
-medi a
-e fc</w>
-poké mon</w>
-ठķ</w>
-enthusi astic</w>
-var un</w>
-pro files</w>
-pedi atric</w>
-acci dents</w>
-con rad</w>
-jan g</w>
-jo jo</w>
-ac or
-ob server</w>
-l f</w>
-live stock</w>
-for gi
-fo s</w>
-el m</w>
-an and</w>
-go e
-c ere</w>
-avoi ding</w>
-gri t</w>
-om an
-thank fully</w>
-scat tered</w>
-nick y</w>
-cylin der</w>
-chees y</w>
-di ver</w>
-mahe sh</w>
-cav es</w>
-ear liest</w>
-qu inte
-subjec ts</w>
-b end
-gul f
-vocali st</w>
-glu e</w>
-pat ches</w>
-un stopp
-sny der</w>
-demonstr ating</w>
-pi o</w>
-hor ns</w>
-wic kets</w>
-and the
-r ama</w>
-yo on</w>
-stra ight
-bed time</w>
-or ang
-bul lets</w>
-sa urus</w>
-min ers</w>
-inci dents</w>
-! ...</w>
-ðŁİ ¸</w>
-ag ers</w>
-hand les</w>
-stat es
-in ity</w>
-d ons</w>
-incredi ble
-emin em</w>
-avi v</w>
-ru dy</w>
-moz art</w>
-folk lore
-appli ances</w>
-mt l</w>
-fre y
-di as
-hu a</w>
-page ant</w>
-stri ve</w>
-im prison
-bul lish</w>
-r ana</w>
-al erts</w>
-bb mas</w>
-hy per</w>
-derby shire</w>
-re cre
-re dd
-debor ah</w>
-cosmo s</w>
-law son</w>
-mel anie</w>
-psy cho</w>
-ho or
-doo dles</w>
-sni per</w>
-shad y</w>
-man tle</w>
-canadi an
-new year
-inter actions</w>
-separ ated</w>
-cor ds</w>
-spiritu ality</w>
-ap u
-it o
-p ct</w>
-pel osi</w>
-rebel lion</w>
-se iz
-wor cester
-sec tors</w>
-ul i</w>
-san ta
-Ð µ
-ðŁĩªðŁĩ ¸</w>
-bi ased</w>
-class ical
-gam ma</w>
-dee plear
-emer ge</w>
-back er</w>
-sur ance</w>
-hand crafted</w>
-ðŁİ ¥
-franc is
-mill an</w>
-ic i</w>
-cro wn
-wo w
-stri ped</w>
-un fair</w>
-relax ation</w>
-³ ï¸ı
-embrac ing</w>
-she alth</w>
-pale o</w>
-martin i</w>
-dist illery</w>
-wr ink
-or k
-na th
-hay ley</w>
-cour thouse</w>
-si ber
-sa di
-quiet ly</w>
-mel t
-m sm</w>
-me h</w>
-smart phones</w>
-rel ent
-pp ing
-war wick</w>
-co logne</w>
-gli a</w>
-cot ton
-pro g</w>
-lon e
-ip sw
-star ters</w>
-expan ds</w>
-u mp
-su ed</w>
-ski pper</w>
-infe ctions</w>
-ing le
-Ã ¡</w>
-cler k</w>
-demonstr ate</w>
-ac ar
-ðŁĺĤðŁĺĤ ðŁĺĤ
-ti bet</w>
-bun s</w>
-alo m</w>
-demol ition</w>
-ssi a</w>
-g st</w>
-[ ]</w>
-so ar</w>
-âĺ Ģ</w>
-ðŁĺ ª</w>
-ðŁĵ Ĭ</w>
-dee pest</w>
-beyon d
-are t</w>
-att ends</w>
-activ ated</w>
-di mit
-âļª ï¸ı
-high lighted</w>
-magaz ines</w>
-rum or</w>
-az za</w>
-steph ens</w>
-dol ph</w>
-sho ckey</w>
-mat s</w>
-we av
-mel an
-serv ers</w>
-tra um
-ku sh
-æ Ĺ
-bab ys
-pa z</w>
-a al
-la use</w>
-break ers</w>
-canter bury</w>
-ul ture</w>
-mi ri
-euro s</w>
-tane ous</w>
-impre ssions</w>
-du tch
-il d
-gh i</w>
-pur due</w>
-adequ ate</w>
-l p
-sy ner
-ang ler</w>
-du rable</w>
-gal ore</w>
-ro wn
-mg mt</w>
-ðŁĵ Į</w>
-lu cia</w>
-âĺij ï¸ı</w>
-zay n
-bor row</w>
-. (</w>
-north umber
-cru sh
-eng a</w>
-su sh
-extra vag
-t out</w>
-ma hal</w>
-ali stic</w>
-ther mo
-gall eries</w>
-es se</w>
-chi bi</w>
-attrac tions</w>
-lex ington</w>
-legislat ure</w>
-docu mented</w>
-resi den
-brow nies</w>
-w f</w>
-st ool</w>
-plan ets</w>
-sho ppers</w>
-conduc tor</w>
-ms p</w>
-tr icky</w>
-fru ity</w>
-end ra</w>
-feel the
-whi pped</w>
-hair style</w>
-re fer</w>
-oo k
-oc topus</w>
-audi ences</w>
-ku mar
-after no
-op tim
-c fl</w>
-ni p</w>
-gen i
-alpha bet</w>
-ann ab
-lam in
-accep ts</w>
-l ng</w>
-ðŁĺ «</w>
-t ine</w>
-ac om</w>
-cheer leaders</w>
-t k
-gr on
-v g</w>
-k ung</w>
-ja x
-dha bi</w>
-r ss</w>
-mack enzie</w>
-beir ut</w>
-clean up</w>
-gy psy</w>
-st ell
-bur ger
-hurric anes</w>
-educ ation
-st ina</w>
-âĻ¡ âĻ¡
-unfortun ate</w>
-jere mi
-bad ger</w>
-at ers</w>
-: âĢ¦</w>
-ter ra
-subli me</w>
-stu d
-y mca</w>
-mr u</w>
-duter te</w>
-bren nan</w>
-bul b</w>
-mel o</w>
-yl on</w>
-hack er</w>
-c red</w>
-gu d</w>
-as an
-pad illa</w>
-embroide red</w>
-vietnam ese</w>
-pione ers</w>
-projec tion</w>
-re boot</w>
-id c</w>
-an ey</w>
-pri mer</w>
-suff ers</w>
-win ding</w>
-p on</w>
-sto day</w>
-mor n</w>
-u ch</w>
-all in</w>
-adid as
-eliza beth
-tu ck</w>
-o graphy</w>
-ðŁļ Ģ
-be g</w>
-os borne</w>
-ghet to</w>
-r h</w>
-cn n
-ir ma</w>
-ma kin</w>
-cab les</w>
-mur ders</w>
-oc ks</w>
-inst a
-al as</w>
-si k</w>
-cu ff</w>
-la re
-foo dies</w>
-o vic</w>
-at om
-geome tric</w>
-em pathy</w>
-ภµ
-cent enary</w>
-newsp apers</w>
-administr ative</w>
-ðŁİ Ĭ</w>
-sti ve</w>
-contrac tors</w>
-le tt
-tas mania</w>
-awesom eness</w>
-den sity</w>
-ve en</w>
-prince ton</w>
-frequ ently</w>
-re ject</w>
-gh i
-modu lar</w>
-ceram ics</w>
-sh ag
-ki wi</w>
-can vas
-sweat shirt</w>
-an j
-ti mm
-napol i</w>
-il er
-appe als</w>
-hamil ton
-ma yo
-we ave</w>
-arrang ed</w>
-whar f</w>
-occu py
-b vb</w>
-as aki</w>
-ot ter</w>
-nor m</w>
-vi es</w>
-de tox</w>
-tion al
-dere k
-id ad</w>
-ad missions</w>
-constitu ency</w>
-u pper
-woo t</w>
-allo y</w>
-se ve</w>
-lu b
-un comfortable</w>
-ed win</w>
-ab re
-d wight</w>
-ar che
-virtu ally</w>
-sp ol
-pri e
-ai i</w>
-er r
-swit ch
-bar ack</w>
-se ok</w>
-cou l
-wn t</w>
-pou l
-o live
-caffe ine</w>
-cardi ff
-notor ious</w>
-de mp
-ex cess</w>
-bar r</w>
-t ford</w>
-a jay
-bump ed</w>
-my thology</w>
-shel ley</w>
-fal con
-shakespe are
-must angs</w>
-no ted</w>
-bon e
-civil ization</w>
-sy d</w>
-par sons</w>
-un official</w>
-hy ped</w>
-sp ends</w>
-oppo sed</w>
-v ings</w>
-space x</w>
-noti fication</w>
-deci ding</w>
-bio tech</w>
-out si
-sal ah</w>
-! .</w>
-fe d
-ss y
-c ms</w>
-bad gers</w>
-cr o</w>
-ela ine</w>
-n ba
-dy our
-n ant</w>
-honey moon</w>
-climb ed</w>
-conom y</w>
-ath a</w>
-m ell
-ne bula</w>
-nature photography</w>
-juli e
-bm x</w>
-inve sted</w>
-mon o</w>
-lieu tenant</w>
-wat kins</w>
-techn ician</w>
-o se</w>
-ka e
-ì Ľ
-mc queen</w>
-pre ach</w>
-trav eller</w>
-flexi bility</w>
-ze bra</w>
-reta iler</w>
-p ant</w>
-ben der</w>
-brand t</w>
-squ id</w>
-war rant</w>
-veri fied</w>
-cas s</w>
-pier cing</w>
-hon ours</w>
-t ying</w>
-mor ris
-kis sed</w>
-op rah</w>
-panor amic</w>
-me i
-splat oon</w>
-wich ita</w>
-ari as</w>
-gal li
-indy ref</w>
-good times</w>
-athe ist</w>
-confe ssion</w>
-ow ski</w>
-re pping</w>
-ad ditions</w>
-mechan ism</w>
-z im</w>
-j ans</w>
-su f</w>
-cho pped</w>
-beg innings</w>
-vitam ins</w>
-ãħ¤ ãħ¤
-or th
-po les</w>
-ru b</w>
-antarc tica</w>
-indie film</w>
-web cam</w>
-ket ch
-bre tt
-cle ment
-her on</w>
-defe ating</w>
-hydr o</w>
-buc ket
-wand ering</w>
-sid ney</w>
-future of
-b inge</w>
-on ies</w>
-knock out</w>
-administr ator</w>
-syn the
-l ent</w>
-jan i</w>
-bar ley</w>
-premier league</w>
-ner ds</w>
-cr m</w>
-bra s</w>
-bot any</w>
-evol ved</w>
-rot ter
-ro wed</w>
-tum or</w>
-weal thy</w>
-Â Ń</w>
-mon arch</w>
-li shed</w>
-da hl</w>
-ðŁİ ĥ
-bu ch
-ken yan</w>
-Ø §</w>
-red ness</w>
-assemb led</w>
-se mit
-hud der
-shro p
-ran i</w>
-lear ning
-mor y</w>
-iti a</w>
-geo graphic</w>
-worl dof
-f b
-pho sp
-boo gie</w>
-am ped</w>
-? ...</w>
-che w</w>
-dwar f</w>
-ar us</w>
-s sen</w>
-ru sty</w>
-recru its</w>
-h k
-gar de</w>
-app lause</w>
-vol umes</w>
-invol ves</w>
-ta c</w>
-hand bag</w>
-trans late</w>
-ffe l</w>
-se ym
-aqu atic</w>
-trans fer
-zo di
-and r
-acade mia</w>
-cr ater</w>
-te z</w>
-ar se</w>
-adap t</w>
-col oni
-snow man</w>
-mal i</w>
-hang in</w>
-di schar
-oy sters</w>
-pho e
-colon el</w>
-w ba</w>
-hispan ic</w>
-thri ving</w>
-sh y
-ag les</w>
-sales force</w>
-cre me</w>
-so les</w>
-la fayette</w>
-â ī
-ter ia</w>
-ach a</w>
-sp erson</w>
-go go</w>
-car ly</w>
-the ore
-am ore</w>
-vo x</w>
-af t</w>
-ãĤ ¹
-stap le</w>
-mu ffin</w>
-di agram</w>
-ino x</w>
-su stained</w>
-av ent
-me ta</w>
-arbit r
-dec ay</w>
-ado le
-Ð ½
-ec ol
-ph o</w>
-n k
-o cu
-gr anny</w>
-ç a</w>
-luxemb our
-stad t</w>
-alber to</w>
-le vit
-am as
-d x
-or phan
-co bb</w>
-as c
-lo gy
-immen se</w>
-chan ts</w>
-off line</w>
-p ent</w>
-bre x
-w inger</w>
-plan e
-i el</w>
-nichol s</w>
-ca thy</w>
-nar uto</w>
-low ed</w>
-/ //</w>
-ignor ance</w>
-cat astro
-you ts</w>
-sch en
-buil d
-haz i</w>
-s ine
-critical role</w>
-du g
-dete ct</w>
-lo gs</w>
-en amel</w>
-stpatrick sday</w>
-ed die
-co pa</w>
-cigare ttes</w>
-ho ff</w>
-kay a</w>
-la goon</w>
-ra pha
-air borne</w>
-choo se
-puer tor
-ke v
-gui ding</w>
-fro sty</w>
-bor ough
-mir a</w>
-ðŁİ Ĭ
-cade t</w>
-anu sh
-yo gi</w>
-e ger</w>
-fl ing</w>
-slo pe</w>
-nin th</w>
-we ston</w>
-foot wear</w>
-f n
-may weather</w>
-a am</w>
-pla in
-stair case</w>
-witne sses</w>
-work outs</w>
-ro bust</w>
-dex ter</w>
-co hort</w>
-ðŁļ Ĺ</w>
-sp ell
-ha ze</w>
-o om
-organ ising</w>
-wild fire</w>
-cont acts</w>
-av on
-min o</w>
-upd ating</w>
-ðŁį »
-li thium</w>
-ing ual</w>
-k is</w>
-au ga</w>
-lo com
-de duc
-u da</w>
-th ak
-boy le</w>
-mp er</w>
-hot tie</w>
-eri k
-re vised</w>
-is la</w>
-travel photography</w>
-oo za</w>
-en qui
-confe rences</w>
-clo ver</w>
-g room</w>
-cur ves</w>
-live on
-per f</w>
-displac ed</w>
-bo log
-xx xx</w>
-ðŁĺ© ðŁĺ©
-te al</w>
-ve ssels</w>
-rain forest</w>
-cal ci
-pan ther
-gira ffe</w>
-ta sted</w>
-imag ery</w>
-pad res</w>
-day time</w>
-bas s
-ri pe</w>
-opio id</w>
-nu e
-vin yl
-invent or</w>
-sen s</w>
-process or</w>
-mu t</w>
-gad gets</w>
-bibl ical</w>
-shann on
-jacqu eline</w>
-car y</w>
-the resistance</w>
-ali en
-n vi
-co sy</w>
-bi har</w>
-fo ley</w>
-ren d</w>
-mu gs</w>
-fa ken
-cl one</w>
-ni allo
-gra bbed</w>
-chi hu
-power house</w>
-n tt</w>
-chero kee</w>
-spon ge
-imple menting</w>
-rh ine
-le one</w>
-ðŁį Ģ
-pret tiest</w>
-infra red</w>
-impro v</w>
-swit ched</w>
-tu bes</w>
-con tr
-bl k</w>
-projec ted</w>
-be aver</w>
-yo t
-bbcra dio</w>
-thi gh</w>
-per secu
-apologi ze</w>
-w ack
-po ster
-oli ver
-az a</w>
-lou d
-( ?)</w>
-f the
-women shi
-spar row</w>
-blu sh</w>
-us able</w>
-sc ales</w>
-it ative</w>
-peu ge
-ne eding</w>
-legg ings</w>
-glam orous</w>
-mat ur
-c z
-wat t
-da b</w>
-tam ar
-et sym
-bau er</w>
-heart felt</w>
-h n
-else where</w>
-bir ch</w>
-alu mini
-hu ck
-e me
-j l</w>
-traf ford</w>
-d z</w>
-por tions</w>
-ana sta
-arthr itis</w>
-esp n
-ber gen</w>
-viol ation</w>
-yo shi
-c z</w>
-northumber land</w>
-clo sures</w>
-ðŁĩ¯ ðŁĩ
-smi ley</w>
-r w</w>
-tel ugu</w>
-inten si
-gre gg</w>
-ve ga</w>
-dun geon</w>
-south bound</w>
-ba il
-domin ican</w>
-semi final</w>
-chap ters</w>
-h itch
-van ity</w>
-trans iti
-recomm ends</w>
-sati sf
-bar ca</w>
-queen s
-( (
-de struc
-stra it</w>
-ra vi
-dess erts</w>
-in tru
-har am</w>
-k os</w>
-fo e</w>
-fat ty</w>
-pais ley</w>
-magn itude</w>
-dri dge</w>
-com ey</w>
-schem es</w>
-vision ary</w>
-our t</w>
-down loaded</w>
-ðŁĻĮ ðŁı½</w>
-gd pr</w>
-lan i</w>
-p wc</w>
-gu ad
-nic est</w>
-stake holders</w>
-re ferred</w>
-george town</w>
-arvind kejriwal</w>
-schnei der</w>
-in doors</w>
-all star</w>
-strand ed</w>
-gen der
-ze pp
-ma sses</w>
-ðŁIJ ±</w>
-pati ently</w>
-bl dg</w>
-z ab
-we arab
-vi vid</w>
-he ck
-d ella</w>
-sy mb
-je opar
-la ger</w>
-à ª
-comb ines</w>
-ne c</w>
-br ay</w>
-flo p</w>
-tx wx</w>
-jo ys</w>
-pon t</w>
-pro found</w>
-sur round</w>
-mad hu
-ma ble</w>
-ay r
-te as
-n sa</w>
-open ly</w>
-er nest</w>
-ãĥ ©
-to po
-g na</w>
-anti oxid
-ti an
-e tr
-c ello</w>
-ma thi
-gener osity</w>
-b iting</w>
-man ic
-kel sey</w>
-chee ks</w>
-ten der
-w th</w>
-pron oun
-ultimat ely</w>
-gu sta
-ari anag
-ger ry</w>
-ble ed
-red dy</w>
-mic h</w>
-mitsubi shi</w>
-oper ated</w>
-sex ually</w>
-ma u</w>
-cl lr</w>
-vi ds</w>
-co c
-mel ted</w>
-ðŁĮ Ī
-q ld
-ite ch</w>
-instru mental</w>
-end game</w>
-ðŁĵ ĸ</w>
-ener gi
-brow nie</w>
-tam il
-at in</w>
-domin ated</w>
-pra ises</w>
-fire place</w>
-sens ational</w>
-men a</w>
-k arti
-un prece
-ru pt</w>
-ori ental</w>
-mc cor
-tour naments</w>
-scen ter</w>
-re eves</w>
-prescri ption</w>
-sam e
-fra u
-tru ffle</w>
-em bo
-roman s</w>
-bla sts</w>
-techno logical</w>
-pr at
-b sb</w>
-y ar</w>
-tren dy</w>
-ac l</w>
-al ad
-ðŁį ģ</w>
-o hh</w>
-bankrup t
-tho ven</w>
-regar ds</w>
-is er
-war wick
-vine yards</w>
-real m</w>
-niallo fficial</w>
-do ta</w>
-ge mini</w>
-to do</w>
-v able</w>
-¨ ¨
-la u</w>
-wre ath</w>
-ju ve</w>
-nat asha</w>
-le ver</w>
-lor i</w>
-hor ser
-cc tv</w>
-air bnb</w>
-es anders</w>
-sin clair</w>
-ema biggest
-high school</w>
-con test
-optimi stic</w>
-t te
-ðŁĴķ ðŁĴķ
-ss d</w>
-ye e</w>
-hel ena</w>
-con sen
-ric ks</w>
-jes se
-an ic</w>
-ðŁİ ¯</w>
-re acts</w>
-ro be</w>
-independ ence
-vol tage</w>
-m ington</w>
-s ant</w>
-à¸Ļ à¸
--------- --------
-sentin el</w>
-ke tt
-rehear sing</w>
-aaaa aaaa
-sof the
-stir ling</w>
-sear ch
-wi gan</w>
-stand out</w>
-sna il</w>
-pent agon</w>
-Ä ģ
-ch lor
-cru st</w>
-net any
-chemi st</w>
-disapp eared</w>
-ric ardo</w>
-sp iders</w>
-bo se</w>
-war ren
-me ssing</w>
-bann ers</w>
-gu el
-par ach
-ma id
-coun ted</w>
-epi le
-bon fire</w>
-speech less</w>
-se tter</w>
-meas ured</w>
-rejec ts</w>
-nik ki
-le ster
-foren sic</w>
-fab rics</w>
-alo ha</w>
-pre served</w>
-wat ford</w>
-deta iling</w>
-dar th</w>
-bo u</w>
-car ly
-... '</w>
-tail gate</w>
-noti fications</w>
-å ¤
-pas sive</w>
-trous ers</w>
-balo ch</w>
-ro ther
-typic ally</w>
-Ã ¥
-sp it</w>
-wi z</w>
-sic ily</w>
-technic ally</w>
-ex pose</w>
-st age
-hu bb
-cre am
-cap s</w>
-po ke</w>
-sle ek</w>
-ju ne
-tempor arily</w>
-de z
-awak ens</w>
-l ame</w>
-_ -</w>
-ji ha
-tues days</w>
-advis ed</w>
-advis ors</w>
-exi sted</w>
-dis agree</w>
-news room</w>
-lo sers</w>
-world tour</w>
-dr ying</w>
-al di</w>
-har ness</w>
-foot print</w>
-hobb it</w>
-p mln</w>
-i ro
-que red</w>
-asse ss</w>
-gaz e</w>
-sa b</w>
-th ian</w>
-í Ĭ
-ti f</w>
-ob serve</w>
-ev il
-dra wer</w>
-swee p
-cor y
-co dy
-kyo to</w>
-cal lum</w>
-n inj
-lau rent</w>
-be i</w>
-sket ching</w>
-custom ized</w>
-du r</w>
-regre ts</w>
-knox ville</w>
-ìķ Ħ
-mess aging</w>
-grac ie</w>
-abun dance</w>
-bi dding</w>
-bre wed</w>
-fl ouri
-therapeu tic</w>
-alt itude</w>
-ho gs</w>
-bur ner</w>
-elec tro</w>
-wonder fully</w>
-he ater</w>
-post pon
-li very</w>
-r all
-ad as</w>
-a ac
-sau l</w>
-brook lyn
-play house</w>
-âĻ¥âĻ¥ âĻ¥</w>
-char itable</w>
-in y</w>
-z ah
-compet itions</w>
-be av
-plu gged</w>
-o is</w>
-do om
-astron om
-speci alized</w>
-max i</w>
-ta ps</w>
-cellu lar</w>
-depre ssed</w>
-folklore thursday</w>
-cri b</w>
-e mul
-ë° ©
-fi gh
-ru z</w>
-car lisle</w>
-spe ar
-side walk</w>
-de i</w>
-depend ent</w>
-lac es</w>
-nh s
-ðŁĮ Ļ</w>
-reali zing</w>
-net work
-ric he
-re gin
-re fresh</w>
-st ral</w>
-pa thology</w>
-pla id</w>
-psyched elic</w>
-hin d</w>
-u ka</w>
-algori thm</w>
-lin king</w>
-progre ssi
-fe y</w>
-d ade</w>
-hydr ated</w>
-b ant
-fam ed</w>
-cot sw
-bo ise</w>
-as c</w>
-rac ing
-ja vier</w>
-ww en
-mar lins</w>
-poo p</w>
-swe pt</w>
-toni ghts</w>
-we f</w>
-ani me
-slo vak
-âŀĸ âŀĸ
-cla us</w>
-lem me</w>
-cli ppers</w>
-re ls</w>
-arianag rande</w>
-r te</w>
-ko t
-thal apathy</w>
-hungar ian</w>
-zu ma</w>
-y von
-is u</w>
-jour neys</w>
-clin ics</w>
-be be</w>
-ww f</w>
-n ws
-super heroes</w>
-er it
-sle ague</w>
-identi fication</w>
-mo tto</w>
-ba i</w>
-sour ced</w>
-ill er
-ap i
-pri se</w>
-unprece dented</w>
-dam as
-tuni sia</w>
-dra in
-undere stim
-e ther
-quarter ly</w>
-rewar ding</w>
-al ham
-wolver ine</w>
-cab ine
-hyp no
-nad ine</w>
-hav ana</w>
-da e
-ðŁĵ Ī</w>
-dr on</w>
-read ings</w>
-b ati
-pic o</w>
-mer ci
-iti an</w>
-wal kers</w>
-el ope</w>
-mi key</w>
-god zilla</w>
-bur lington</w>
-abu ja</w>
-social ism</w>
-at ility</w>
-sh ell
-harry potter</w>
-g no
-ab ur
-re leg
-fel ici
-ro gen</w>
-neuro science</w>
-inst in
-ath am</w>
-vou chers</w>
-j arre
-fu se</w>
-def ici
-monte rey</w>
-de port
-mid day</w>
-pp ard</w>
-fre ed</w>
-ame ter</w>
-wil t
-n ingham</w>
-pr att</w>
-liber ty
-slo gan</w>
-o to</w>
-pr i</w>
-co ated</w>
-c pd</w>
-ne tt
-il las</w>
-mal awi</w>
-evol ve</w>
-accessi bility</w>
-ðŁĶ¥ðŁĶ¥ ðŁĶ¥ðŁĶ¥
-or nament</w>
-b p
-el is
-son line</w>
-chi ro
-fl ick</w>
-ib m
-ar ak
-en ables</w>
-gar land</w>
-san e</w>
-cu ties</w>
-tri p
-rotter dam</w>
-n ys</w>
-lam ps</w>
-lu cas
-bo g
-ra ils</w>
-travel led</w>
-hic ks</w>
-en u
-sab ha</w>
-scru b</w>
-hi er
-hart ford</w>
-fo o</w>
-fer nandez</w>
-tre vor
-mat tress</w>
-appo intments</w>
-ale j
-fe i
-o logist</w>
-saf ar
-oc ta
-sr c</w>
-sha un
-ambi ent</w>
-dri c</w>
-bi ker</w>
-she e
-must ache</w>
-h ta
-bo one</w>
-her ty</w>
-car dio</w>
-bra kes</w>
-rec ital</w>
-consi sts</w>
-overwhel med</w>
-cau l
-robb ins</w>
-im it
-al th
-ur l</w>
-bi bli
-on ne</w>
-black livesmatter</w>
-diffic ulties</w>
-tel ang
-tall er</w>
-ðŁĵ Ĩ</w>
-deb ating</w>
-bur rito</w>
-mo vember</w>
-strength ening</w>
-bo e
-te stam
-mirac les</w>
-base ball
-re nee</w>
-ðŁijī ðŁı»</w>
-al fa</w>
-âĺ ĺ
-unstopp able</w>
-ec s</w>
-g mo</w>
-giftide as</w>
-path way</w>
-fen cing</w>
-ðŁİ ¤
-b ham</w>
-ra s
-sk o</w>
-d led</w>
-thel ast
-magn um</w>
-bin ary</w>
-wil de</w>
-wil der</w>
-wh ati
-barbe cue</w>
-h ism</w>
-can oe</w>
-kur di
-eli ve</w>
-advant ages</w>
-mad ame</w>
-bi er</w>
-mis sing
-enter tain</w>
-air force</w>
-y ama</w>
-c is</w>
-hash tags</w>
-j is</w>
-ve il</w>
-dream y</w>
-ten se</w>
-may ward</w>
-ch ateau</w>
-hunt ington</w>
-âļ ĵ
-v all
-up on
-bl ouse</w>
-dun es</w>
-ðŁĺ ´
-fert ility</w>
-m ole</w>
-curren cies</w>
-st u</w>
-ber lin
-toa sted</w>
-div as</w>
-wal t
-lar k</w>
-por a</w>
-hit ter</w>
-um er</w>
-chil led</w>
-bal ancing</w>
-fa is
-y in</w>
-or tiz</w>
-east enders</w>
-h ate
-ur al
-ap ril
-tim el
-à ±
-per o</w>
-sto cked</w>
-respec ts</w>
-th t</w>
-best friends</w>
-giving tuesday</w>
-be ad</w>
-inv ent</w>
-im i</w>
-nap les</w>
-comb ining</w>
-tok ens</w>
-thir st</w>
-ma sc
-par rot</w>
-sp u
-dent on</w>
-* -*</w>
-t res</w>
-subur ban</w>
-wid th</w>
-si ve
-con tender</w>
-siri us
-lo k</w>
-troop ers</w>
-outra ge</w>
-tur bo
-frag ile</w>
-me ssed</w>
-do h</w>
-disc ord</w>
-netany ahu</w>
-re sign</w>
-forgi veness</w>
-mo han</w>
-mun ch
-cam ou
-identi fying</w>
-enab ling</w>
-hot ter</w>
-thorn ton</w>
-jai pur</w>
-ar ya</w>
-ðŁı» âĢįâĻĢï¸ı</w>
-mu staf
-maj ors</w>
-o ke</w>
-du ffy</w>
-roh ing
-til t</w>
-ðŁĩ®ðŁĩ ³</w>
-rock star
-she ep
-hend rix</w>
-ra v</w>
-in vention</w>
-do u</w>
-lagun a</w>
-gru mpy</w>
-sw is
-im pe
-) '</w>
-you ths</w>
-bun ker</w>
-st ache</w>
-oppo se</w>
-indi es</w>
-acceler ate</w>
-ml p</w>
-ed en
-w ann
-k ail
-akshay kumar</w>
-su pt</w>
-pol ym
-midd leton</w>
-extra ordin
-wil son
-australi an
-alumini um</w>
-way ne
-alum nus</w>
-mat ics</w>
-gri m</w>
-er nie</w>
-opp a</w>
-competit ors</w>
-rand all</w>
-h ence</w>
-decla res</w>
-pre aching</w>
-sha he
-can e
-sustain able
-stap les</w>
-le dge
-ad ena</w>
-doctor al</w>
-bur gundy</w>
-decor ate</w>
-ren dered</w>
-ri sen</w>
-pr ank</w>
-di or</w>
-bee thoven</w>
-flo or
-ac com
-to t</w>
-ho dg
-touri sm
-say in</w>
-objec tive</w>
-mar kers</w>
-premi ership</w>
-en abled</w>
-camou fla
-gi ant
-Ñ ģ
-smo key</w>
-ric ket</w>
-pan g</w>
-de pending</w>
-s ation</w>
-evol ving</w>
-inter cep
-cen sus</w>
-tof the
-re en</w>
-mendo za</w>
-trum pet</w>
-marke ters</w>
-an it
-ðŁĻ Ĭ
-north western</w>
-v la
-foto gra
-blackand white
-che wan</w>
-wi g
-tro om</w>
-ginger bread</w>
-k n</w>
-ro mero</w>
-n fc</w>
-or chi
-fun ko</w>
-sour ce
-f s
-ra ped</w>
-o st
-tar ot</w>
-ann ually</w>
-ðŁĺ ¬
-r ill</w>
-del av
-.. !!</w>
-se s
-can n</w>
-medic are</w>
-ph el
-ape x</w>
-guardi an
-rema ined</w>
-r pm</w>
-a ñ
-story month</w>
-instag ood</w>
-neighb our</w>
-p ing
-sem ite</w>
-my stic</w>
-as cot</w>
-mat er</w>
-hand ful</w>
-dang ers</w>
-ti d</w>
-ana heim</w>
-opol y</w>
-sh allow</w>
-nami bia</w>
-tor ia</w>
-procu rement</w>
-big bang</w>
-announ cements</w>
-prosecu tor</w>
-beng als</w>
-sal le</w>
-en roll
-ga stro
-sugge stion</w>
-ba k</w>
-ha ul
-budd hism</w>
-berni esanders</w>
-flu te</w>
-fati gue</w>
-cyn thia</w>
-cho i</w>
-ir win</w>
-gu a</w>
-str ous</w>
-h p
-ba p</w>
-satisf ying</w>
-play a</w>
-ðŁİ ¼</w>
-inst ap
-al ice
-t p
-irri gation</w>
-ðŁĩ¬ðŁĩ §
-in tric
-clu es</w>
-ple x
-sa x</w>
-he pat
-dump ed</w>
-signific ance</w>
-by u</w>
-medic ation</w>
-pro v
-tough est</w>
-corn ish</w>
-âŀ ľ</w>
-kel ley</w>
-u v
-si zz
-si bling</w>
-me st</w>
-di stor
-diplom atic</w>
-aun tie</w>
-b hat
-son ic
-bren da</w>
-pump kins</w>
-ro ch
-black burn</w>
-ur ged</w>
-shi a</w>
-arrange ments</w>
-floo d
-sa unders</w>
-lec turer</w>
-nou ri
-popul ations</w>
-diplom acy</w>
-consist ently</w>
-ðŁ¤ Ļ
-t mund</w>
-cauli flower</w>
-l ily
-vocab ulary</w>
-vari eties</w>
-coo ker</w>
-up town</w>
-qu ent
-mo sa</w>
-re inde
-velo city</w>
-spru ce</w>
-social medi
-i ber
-volun tary</w>
-proce ssed</w>
-bal tic</w>
-y ang
-leban ese</w>
-d p
-dol ly</w>
-arrange ment</w>
-y uri</w>
-cran berry</w>
-kal yan</w>
-elev ation</w>
-cli ff
-pu shes</w>
-ìĬ ¤</w>
-sil ic
-co wx</w>
-eter nity</w>
-sla ves</w>
-vine gar</w>
-glou cester</w>
-con tained</w>
-breaking news</w>
-aga inst
-renov ated</w>
-norm andy</w>
-hero in</w>
-ys m</w>
-mo ds</w>
-gre ek
-un di</w>
-tren ch</w>
-v h</w>
-encoura ges</w>
-head ache</w>
-gr ange</w>
-: '</w>
-ever green</w>
-Ù Ĭ</w>
-reck on</w>
-ab used</w>
-th ru
-cho ice
-ti dy</w>
-col der</w>
-scho ice</w>
-ha in</w>
-bru m
-li ars</w>
-bre it
-yor ker</w>
-sh ack
-he idi</w>
-micha els</w>
-sco pic</w>
-fasci st</w>
-play ful</w>
-ca c</w>
-yas ss</w>
-sh ad</w>
-.. ?</w>
-qu en
-ram irez</w>
-clif ton</w>
-pr s</w>
-best fan
-âģ ł
-gener ating</w>
-head set</w>
-disappo intment</w>
-abstr act
-bo iled</w>
-paren thood</w>
-azerbai jan</w>
-exhib iting</w>
-bom bay</w>
-oli vier</w>
-ko so
-un lea
-mat ernity</w>
-iz er</w>
-si ves</w>
-r hu
-col l</w>
-saskat chewan</w>
-fre akin</w>
-de k</w>
-na g</w>
-stab ili
-ðŁį ķ</w>
-organi zer</w>
-bo sses</w>
-ar u</w>
-u va</w>
-at able</w>
-ta un
-after wards</w>
-fert ili
-ver ge</w>
-az i
-mor ph
-๠ģà¸
-jer k</w>
-cosme tic</w>
-ko w</w>
-stru st</w>
-ap ache</w>
-post cards</w>
-for mul
-ì ĭ
-spin al</w>
-jack pot</w>
-elec tri
-Ã Ń</w>
-lo y</w>
-gra der</w>
-diab lo</w>
-ar di
-he sit
-f w
-arch ery</w>
-pa sh
-the ories</w>
-repe al</w>
-re live</w>
-per cy</w>
-âĺ Ĩ
-im in
-syn chron
-sham poo</w>
-coup ons</w>
-o to
-la i</w>
-thou ght
-luxembour g</w>
-mo v</w>
-ðŁĺ ¥</w>
-ge mma</w>
-se ated</w>
-m ga</w>
-strat ford</w>
-un certainty</w>
-shi fts</w>
-est o</w>
-fo ol
-fire arms</w>
-cor rie</w>
-ki ki</w>
-appa rent</w>
-p ills</w>
-olym pia</w>
-fi d</w>
-elev ated</w>
-de cks</w>
-ignor ing</w>
-av alan
-ro v</w>
-whist le
-p tsd</w>
-milit ants</w>
-robo tic</w>
-pac ers</w>
-quil t</w>
-bankrupt cy</w>
-lic h
-per cussion</w>
-celebr ity
-al s
-( ;</w>
-su t
-pokemon go</w>
-h g
-off s</w>
-gibr altar</w>
-scre ams</w>
-billi e</w>
-gen ome</w>
-mar in</w>
-be ams</w>
-arch bishop</w>
-em in</w>
-bedro oms</w>
-g ated</w>
-ol ly</w>
-warran ty</w>
-at own</w>
-cudd les</w>
-gun na</w>
-k ic
-vi ve</w>
-cy mru</w>
-nar row
-pro b</w>
-le o
-refe rences</w>
-manufac tured</w>
-cho pper</w>
-brun swick</w>
-sem is</w>
-don ia</w>
-r ye
-man o</w>
-hur ting</w>
-? #</w>
-hol li
-investig ations</w>
-c els</w>
-ðŁĵ ŀ</w>
-le ster</w>
-temp les</w>
-sto rey</w>
-mc mahon</w>
-toi lets</w>
-wo of</w>
-ï¸ İ</w>
-le verage</w>
-at om</w>
-night mares</w>
-victor ious</w>
-haun ting</w>
-custom er
-ag i
-yo ongi</w>
-mon ty</w>
-ver onica</w>
-w ur
-inti mid
-blan kets</w>
-volu tion</w>
-j m
-âĺ İ
-am on</w>
-jud ith</w>
-ðŁĺİ ðŁĺİ</w>
-distr acted</w>
-dri p</w>
-hurric ane
-and es</w>
-revel ation</w>
-tro op</w>
-ab leg</w>
-col lin
-tibet an</w>
-wor rying</w>
-inter nationally</w>
-eat er</w>
-camero on</w>
-brad or</w>
-y uk</w>
-ðŁĴĹ ðŁĴĹ</w>
-tra k</w>
-slo pes</w>
-ci er
-ne a</w>
-ol er
-ta ka
-albi on</w>
-volcan ic</w>
-am n</w>
-a fi
-ob stac
-face time</w>
-ger ing</w>
-n pr</w>
-metall ica</w>
-organ ic
-ðŁĴ ¡</w>
-ki dd</w>
-d ances</w>
-pemb ro
-wash er</w>
-m its</w>
-om er
-emo tionally</w>
-tan go</w>
-ip o</w>
-do cks</w>
-scan ning</w>
-spec s</w>
-tho m</w>
-the ology</w>
-emer gen
-om i
-g pa</w>
-selec tions</w>
-un necessary</w>
-ima ge
-ter s
-induc ed</w>
-gi gan
-rent als</w>
-supp lied</w>
-m fa</w>
-shan kar</w>
-lat er
-pa jam
-cla ve</w>
-Ù ģ
-ma hin
-carl son</w>
-avi an</w>
-ano va</w>
-kati e
-aj ith</w>
-design ated</w>
-chocol ates</w>
-investig ators</w>
-gla zed</w>
-prin cess
-er ry</w>
-ra gn
-ou rable</w>
-hr u</w>
-sun dance</w>
-peuge ot</w>
-steam punk</w>
-gh lin</w>
-gre ase</w>
-hi res</w>
-z ap
-per ce
-j ill
-tom e
-he hehe</w>
-joy ful</w>
-mae stro</w>
-ni shed</w>
-gene alo
-v ich</w>
-p its</w>
-fox es</w>
-good man</w>
-emer son</w>
-lo bes</w>
-con verse</w>
-o ats</w>
-thom son</w>
-ra him</w>
-mal ware</w>
-ah i</w>
-man kind</w>
-re sin</w>
-im g</w>
-sw ood</w>
-kin der</w>
-sc roll</w>
-ar a
-sak ura</w>
-ro bbed</w>
-xi on</w>
-ny a</w>
-c ism</w>
-ce dar
-be in</w>
-mour ning</w>
-tor to
-heath row</w>
-done gal</w>
-bar b
-hydr ation</w>
-k or</w>
-elim ination</w>
-su pdates</w>
-hill s
-appe ti
-star red</w>
-ko m</w>
-gw en</w>
-dd d</w>
-cra y
-sc anner</w>
-personal ised</w>
-seren ity</w>
-re design</w>
-meta ph
-box ed</w>
-judg ment</w>
-no se
-ë ¹
-er ad
-ac ne</w>
-supp liers</w>
-ener getic</w>
-v om
-as ap
-ðŁĶ ¸</w>
-ir vine</w>
-hat ch
-la ss
-ad ren
-waff les</w>
-accur ately</w>
-ici o</w>
-itt le
-se un
-occup y</w>
-web cam
-thene w
-ent es</w>
-ga i
-j w</w>
-accoun table</w>
-vis or</w>
-ir rit
-licen sing</w>
-hudder sfield</w>
-gen ie</w>
-ðŁİ ¾</w>
-atmo spheric</w>
-ten sions</w>
-spart an</w>
-clif ford</w>
-ol an</w>
-north bound</w>
-ame en</w>
-cen sor
-u el</w>
-ster y</w>
-$ $
-far rell</w>
-hy ster
-cl t</w>
-se dan</w>
-rep lied</w>
-descri bing</w>
-micro wave</w>
-sla b</w>
-pro sp
-assi sting</w>
-ru bio</w>
-e than
-hh hhh</w>
-gu ay</w>
-z man</w>
-ra ise
-roll ing
-o e
-n ile</w>
-ambro se</w>
-scar borough</w>
-hero ic</w>
-coo ks</w>
-mor t
-chop ra</w>
-ðŁĮ ·</w>
-to b</w>
-shav ing</w>
-stac ey</w>
-dor m</w>
-motor sports</w>
-wi ki</w>
-fol ds</w>
-sp iced</w>
-stress ful</w>
-liter al</w>
-fu dge</w>
-pe ggy</w>
-wa ite</w>
-tre sses</w>
-se sh</w>
-pr ic
-ðŁİ ħ</w>
-fri ght
-r va</w>
-mumb ai
-po m</w>
-tt v</w>
-cel lar</w>
-tom e</w>
-andro id
-dor is</w>
-tsun ami</w>
-tin der</w>
-o ec
-m wc</w>
-dor tmund</w>
-no thin</w>
-l iti
-so u</w>
-believe in
-at u</w>
-kno cks</w>
-mag ni
-ss sss</w>
-ro hit</w>
-ine ws</w>
-ang i</w>
-m andy</w>
-ke ttle</w>
-intermedi ate</w>
-av ant</w>
-cur l</w>
-endor sed</w>
-ori o</w>
-ur t</w>
-consider ation</w>
-wi res</w>
-shel ters</w>
-b ino</w>
-vik ram</w>
-imple mented</w>
-ly dia</w>
-bu k</w>
-paro dy</w>
-c news</w>
-under graduate</w>
-canu cks</w>
-sam i</w>
-polit ically</w>
-ro tten</w>
-gh z</w>
-tex tiles</w>
-over load</w>
-moder ni
-recre ational</w>
-fli r
-bat on</w>
-typo graphy</w>
-ov ation</w>
-intrigu ing</w>
-pilgri mage</w>
-al ge
-ad ays</w>
-tcm party</w>
-sp elled</w>
-cur ls</w>
-boo ze</w>
-ste m
-ann es</w>
-ir ls</w>
-spon ge</w>
-sho pper</w>
-sig nation</w>
-bra ss
-mi stress</w>
-le ah
-beg inner</w>
-lau derdale</w>
-augu st
-pre school</w>
-ta ping</w>
-tai pei</w>
-execu tives</w>
-b d
-rhe tor
-esc or
-immun o
-deeplear ning</w>
-stat ues</w>
-it us</w>
-manu script</w>
-ly ric
-cor vette</w>
-mol ly
-la ge</w>
-de p</w>
-cn bc</w>
-le st
-je ssi
-fi fe</w>
-griff ith</w>
-oppo sing</w>
-ran g</w>
-dr ills</w>
-respec tful</w>
-p ity</w>
-d ell
-har ding</w>
-play boy</w>
-blo ke</w>
-shut out</w>
-k ili
-o sp
-se attle
-bc poli</w>
-mis es</w>
-journ als</w>
-team ing</w>
-es ther</w>
-fre ddy</w>
-Ķ ï¸ı
-metr ics</w>
-no tre
-gar ry</w>
-for ty</w>
-navi gate</w>
-perio ds</w>
-bened ic
-j id</w>
-da w</w>
-ance stors</w>
-restor ing</w>
-con g</w>
-aller gy</w>
-tit anium</w>
-c ence</w>
-lean ing</w>
-ab bas</w>
-v ast
-uc f</w>
-roof ing</w>
-e man
-seve rely</w>
-vo gue
-ve au</w>
-in bound</w>
-d z
-tane ously</w>
-stret ching</w>
-man chester
-dr yer</w>
-dav is
-kan th</w>
-the game</w>
-it ted</w>
-re tain</w>
-el les</w>
-conge stion</w>
-frat ernity</w>
-ol lie</w>
-lo ki</w>
-fre ely</w>
-cho o</w>
-pon y
-sc ep
-tab ly</w>
-bal t</w>
-rock n
-di me</w>
-lo gging</w>
-ðŁį ·
-ad u</w>
-ha voc</w>
-water ford</w>
-char is
-swee tie</w>
-run ning
-ner d
-erdo gan</w>
-z ara</w>
-weigh ing</w>
-fif ty
-pre cise</w>
-low ell</w>
-kurdi stan</w>
-r yo
-or th</w>
-syn th</w>
-lin ers</w>
-phenomen on</w>
-art illery</w>
-il legally</w>
-constru ct</w>
-nostal gic</w>
-gar th</w>
-al ta
-shel ton</w>
-a sean</w>
-w ander</w>
-dur ban</w>
-di versi
-bon o</w>
-cl on
-le man</w>
-sh un
-obstac les</w>
-appet ite</w>
-fe eder</w>
-respir atory</w>
-di xie</w>
-formu la
-an to</w>
-so ber</w>
-extin ct</w>
-au c
-ing les</w>
-legitim ate</w>
-; ;</w>
-min nie</w>
-ipsw ich</w>
-dram atically</w>
-ðŁijı ðŁı¼
-ingh am
-milit ary
-mon et</w>
-us navy</w>
-for k
-dun no</w>
-play er
-q otd</w>
-st oo
-ex or
-ethiop ian</w>
-film fest</w>
-pe red</w>
-c ate</w>
-sau di
-in ner
-sin cere
-tion ality</w>
-ale e</w>
-de eds</w>
-cooper ative</w>
-ir onic</w>
-cro cod
-br ary</w>
-post season</w>
-cam per</w>
-can ary</w>
-e in</w>
-exten sions</w>
-nb d</w>
-sher wood</w>
-spo kane</w>
-hu mp</w>
-jit su</w>
-ê ¹
-dar yl</w>
-p si</w>
-stab bed</w>
-offer ings</w>
-expe cts</w>
-cav al
-body building</w>
-fr aming</w>
-f ca</w>
-ye arly</w>
-bom bed</w>
-sk il
-resear ching</w>
-jud iciary</w>
-gree ted</w>
-tu dor</w>
-mil o</w>
-innov ate</w>
-ðŁĺ Ľ
-r hs</w>
-ru by
-contribu tor</w>
-fam er</w>
-soci ally</w>
-m lin</w>
-fi ery</w>
-ut ter</w>
-beau t</w>
-it os</w>
-de voted</w>
-rain bow
-bar ney</w>
-pe ren
-ar jun
-r na</w>
-gab by</w>
-ut i</w>
-hann ity</w>
-pick le</w>
-ser v</w>
-qu akes</w>
-pp e
-fe m
-wh itec
-j n
-victor ies</w>
-ðŁ§ ¡</w>
-gol fer</w>
-congratul ates</w>
-resul ting</w>
-mechan ic</w>
-ur ve
-cen tered</w>
-kie v</w>
-an s
-in cub
-< <
-c mo</w>
-bestfan army</w>
-dap h
-en ham</w>
-on cology</w>
-ku sh</w>
-t xt</w>
-ori ented</w>
-fashion able</w>
-c sr</w>
-sa hara</w>
-r ack
-pd p</w>
-han son</w>
-ภĩ
-ti ers</w>
-ra r</w>
-pan am
-in sky</w>
-sa hi
-testam ent</w>
-asth ma</w>
-in her
-fisher ies</w>
-or der
-ho we</w>
-gall on</w>
-ep is
-suz anne</w>
-drow ning</w>
-paneli sts</w>
-ðŁĺ ²</w>
-ë ¦
-al ach
-commemor ative</w>
-at tribu
-ðŁij »
-mo o</w>
-visi onal</w>
-week sary</w>
-gu st</w>
-ak in
-poin te</w>
-ee e
-di spar
-ni pp
-dent al
-st all
-pi an</w>
-bor e</w>
-ul ster</w>
-tic k
-ir r
-tae hyung</w>
-micro phone</w>
-bermu da</w>
-ga ard</w>
-el er</w>
-plumb ing</w>
-hu gely</w>
-âļ« ï¸ı</w>
-race way</w>
-cam bridge
-mar cel</w>
-burn ley</w>
-to ast
-holly wood
-fa sting</w>
-me red
-hib ition</w>
-ca pped</w>
-benef icial</w>
-ow ning</w>
-cont amin
-arab ian</w>
-to on
-cap ac
-hul u</w>
-sm ir
-nutri ents</w>
-se in</w>
-graph s</w>
-con ditional</w>
-ðŁij ħ</w>
-or ac
-play in</w>
-nor the
-tor nad
-mar ian</w>
-ju mbo</w>
-lex i</w>
-incredible india</w>
-road to
-uk one</w>
-confu sing</w>
-sp h</w>
-shan k</w>
-pi ed
-mq m</w>
-positi vely</w>
-sher ry</w>
-path ways</w>
-consi ders</w>
-tof u</w>
-argu ments</w>
-resil ient</w>
-che tt</w>
-with dra
-ter o</w>
-ated ly</w>
-sw ana</w>
-he b
-fli ght
-har ley
-decre ase</w>
-kind le
-book shop</w>
-³ ï¸ı</w>
-marty rs</w>
-sm ur
-mc cl
-concer to</w>
-sti me</w>
-rejo ice</w>
-app lau
-cle ment</w>
-mer kel</w>
-jai me</w>
-im mortal</w>
-isle of
-mar co
-youtu ber</w>
-stal king</w>
-me too</w>
-st ack
-sp ouse</w>
-u st</w>
-lu v
-âļ¾ ï¸ı
-eque strian</w>
-ev ing</w>
-fl in
-nick name</w>
-the big
-as ar
-st acks</w>
-wal ker
-bor a</w>
-kidnapp ed</w>
-hur ling</w>
-humb old
-rec alls</w>
-co pper
-ann is</w>
-se o
-mer ger</w>
-mu ir</w>
-ad dy</w>
-ðŁĴª ðŁĴª</w>
-be x</w>
-cr acy</w>
-con an</w>
-congratul ation</w>
-mid st</w>
-âĻ ¬</w>
-for bi
-op tic</w>
-cr ate</w>
-crocod ile</w>
-mad agas
-secur ing</w>
-ast on
-o gue</w>
-savi or</w>
-salis bury</w>
-love it</w>
-fuji film</w>
-cast les</w>
-as st</w>
-ar rows</w>
-sp acious</w>
-tr s</w>
-poly vore</w>
-progre ssion</w>
-m ri</w>
-nel son
-bi m</w>
-indic ator</w>
-o da</w>
-pe pe</w>
-re signation</w>
-gu t
-sne aker</w>
-log ically</w>
-az y</w>
-are lla</w>
-te aring</w>
-jo shi</w>
-ssion ism</w>
-q pr</w>
-mari ah</w>
-p x
-ble ed</w>
-mi an</w>
-med ley</w>
-we iss</w>
-ker ry
-gat ory</w>
-at al</w>
-madi son
-av enger</w>
-nab y</w>
-pl and</w>
-gi les</w>
-fresh water</w>
-d ington</w>
-ta j</w>
-demonstr ates</w>
-n tv
-bul bs</w>
-sunday morning</w>
-pe ake</w>
-souven ir</w>
-wa h
-ton nes</w>
-m kt</w>
-complex ity</w>
-con den
-ross i</w>
-b ing
-y ds</w>
-su k
-n go</w>
-mid land</w>
-ol y</w>
-life is
-ri pple</w>
-mo reno</w>
-dd ers</w>
-tu s
-á ĥ
-bou l
-x a</w>
-hol dings</w>
-wn y</w>
-shadowhun ters</w>
-ke i</w>
-asp ire</w>
-m ous
-ow en
-so ak</w>
-skir ts</w>
-moun taine
-stor ming</w>
-ch rome
-ri ots</w>
-sar ato
-amaz e</w>
-less ness</w>
-nav ar
-crit eria</w>
-ra fa</w>
-indul ge</w>
-ay er</w>
-por to
-nam o</w>
-........ ........
-yi elds</w>
-val le
-j h
-mac ron</w>
-sa ins
-dur ant</w>
-tra ilers</w>
-wo t</w>
-confeder ate</w>
-sh rin
-id ol
-form ally</w>
-ten e
-motor cycles</w>
-than g</w>
-no de</w>
-bang er</w>
-dal y</w>
-p ats</w>
-enroll ment</w>
-au ctions</w>
-at al
-ar bor</w>
-lo gos</w>
-de arest</w>
-trans action</w>
-dom ingo</w>
-fle a</w>
-ser mon</w>
-de ck
-sin cere</w>
-questi oning</w>
-juli o</w>
-was p</w>
-pre tz
-armen ian</w>
-k ham
-inflam mation</w>
-picture sque</w>
-acci dental</w>
-film makers</w>
-ðŁĺ ļ
-ðŁĴ į</w>
-ca sey
-so b
-yee zy</w>
-good will</w>
-parag ra
-ss ly</w>
-fe ather
-dy ed</w>
-assassin ation</w>
-na de
-b cs</w>
-app lies</w>
-femin ine</w>
-fe u
-ext ent</w>
-depu ties</w>
-l ack
-psy chic</w>
-go i</w>
-kill ings</w>
-pse u
-ðŁ¤ ª</w>
-un c
-mar l
-tan e</w>
-mck enna</w>
-sur fer</w>
-influ ences</w>
-free way</w>
-hack ney</w>
-mal aria</w>
-el and
-te au</w>
-rema stered</w>
-Ø ±</w>
-raz or
-gg y
-cor ro
-lak sh
-fla ir</w>
-honest y</w>
-hoor ay</w>
-de pp</w>
-am c
-wedne sdays</w>
-q a
-ed its</w>
-- $</w>
-se villa</w>
-dou bled</w>
-human ities</w>
-c cot</w>
-som os</w>
-r ine</w>
-af a</w>
-si oux</w>
-re construction</w>
-wel ding</w>
-th reads</w>
-am ish</w>
-encoura gement</w>
-po der
-bo ck</w>
-bal m</w>
-p tions</w>
-stand up</w>
-accompli shments</w>
-guar ding</w>
-convic tion</w>
-ac ion</w>
-napo leon</w>
-depic ting</w>
-att ack
-su i</w>
-wear able</w>
-âĸª ï¸ı</w>
-pot ter
-esc ort</w>
-vis e</w>
-to ts</w>
-bo on
-event profs</w>
-angu lar</w>
-womenshi storymonth</w>
-bar row</w>
-sch i</w>
-ac comp
-ti k
-l end</w>
-kensing ton</w>
-wol fe</w>
-st acked</w>
-cra shing</w>
-exhi bit
-wing ed</w>
-sab rina</w>
-ma sa
-k ms</w>
-alway s
-et t</w>
-pla sma</w>
-counsel ing</w>
-pick les</w>
-nfl draft</w>
-mr s
-inev itable</w>
-coura geous</w>
-staf ford</w>
-writers life</w>
-ho s</w>
-e j</w>
-gh yun</w>
-trade mark</w>
-adri an
-influen cer</w>
-coron ation</w>
-ra ging</w>
-explo red</w>
-usa f</w>
-excep tion</w>
-eu x</w>
-tan ker</w>
-sw ami</w>
-pac ket</w>
-ðŁij¨ âĢį
-f en</w>
-she en</w>
-a ero</w>
-j l
-re gal</w>
-nw t</w>
-au ster
-meh ta</w>
-char ge
-a ste
-b ate
-inf eld</w>
-racec ourse</w>
-collap sed</w>
-fle ece</w>
-z il
-al lie</w>
-alternati ves</w>
-geor ges</w>
-ðŁĵ į
-quir ky</w>
-fc b</w>
-nat geo</w>
-philanthro py</w>
-bra i
-every day
-ðŁIJ °</w>
-ach ers</w>
-ja an</w>
-fin es</w>
-q i
-fisher man</w>
-distin ct</w>
-gri mes</w>
-nation alist</w>
-comm ence</w>
-ro wn</w>
-âĢ ³</w>
-z ing
-f ter</w>
-hr w</w>
-baro que</w>
-bl ender</w>
-kitt y
-hoo ks</w>
-c ited</w>
-w anda</w>
-consen sus</w>
-reinde er</w>
-an and
-supp ly
-me ds</w>
-v n</w>
-ol ph</w>
-rat chet</w>
-shel don</w>
-secur ities</w>
-ë°© íĥ
-cro m
-mosqu ito</w>
-j eric
-im mac
-dimen sions</w>
-â ¤
-di ssi
-sponge bob</w>
-dami en</w>
-steven son</w>
-jo anne</w>
-del ish</w>
-yi kes</w>
-than x</w>
-surve ys</w>
-postpon ed</w>
-alco holic</w>
-al ised</w>
-ðŁĻı ðŁı»
-do ch</w>
-sen tim
-mered ith</w>
-com pares</w>
-b ago</w>
-happy days</w>
-mo ss
-ãħ ĭ</w>
-ne c
-gn ment</w>
-frustr ated</w>
-comb in
-ri v
-ec lec
-col lo
-compli ment</w>
-actor slife</w>
-ct to</w>
-nic ar
-op hon
-apar the
-man t
-ja de
-trol ley</w>
-optimi zation</w>
-eye on</w>
-eco logical</w>
-qui st</w>
-ep he
-ॠĩ</w>
-cin co</w>
-appo ints</w>
-old school</w>
-c pr</w>
-behavi oral</w>
-min aj</w>
-:- (</w>
-tag ging</w>
-ev al
-jo aqu
-ðŁĺ «
-ha k
-de me
-jama ican</w>
-so s
-hy att</w>
-hand book</w>
-libr arian</w>
-hanni bal</w>
-pump ing</w>
-ch om
-f man</w>
-ga i</w>
-hu ll
-respon ders</w>
-green ville</w>
-n us
-vau gh
-ðŁİī ðŁİī
-ta xi
-gold berg</w>
-man tra</w>
-te ase</w>
-forbi dden</w>
-metho dist</w>
-ati vity</w>
-* ***</w>
-ec t</w>
-mc gr
-Ħ ëĭ
-se b</w>
-amid st</w>
-disapp ear</w>
-thy ro
-phili ps</w>
-er ina</w>
-v icious</w>
-stream er</w>
-million aire</w>
-ma p
-str ick
-hack athon</w>
-gh a</w>
-ed ic
-mi ka</w>
-pe ck
-ill i</w>
-anto ine</w>
-ar ca
-op tic
-ma ure
-ðŁĩ¦ ðŁĩº</w>
-cla shes</w>
-man ly</w>
-âĺ ģ
-al var
-and res</w>
-me i</w>
-el m
-ww ww</w>
-al tered</w>
-l te</w>
-ê¹ Ģ
-mo jo</w>
-for rest</w>
-thal ai
-non t</w>
-spee ches</w>
-acknow ledge</w>
-ign ite</w>
-x factor</w>
-ðŁ¥ Ĥ</w>
-mead ow
-disru pt</w>
-debu ted</w>
-scrim mage</w>
-pharmaceu tical</w>
-fi dd
-found ations</w>
-philosop her</w>
-et al</w>
-publi shers</w>
-bo ys
-c ke
-ru gged</w>
-opti mism</w>
-re be
-phil harmon
-nar cis
-ral lies</w>
-lu is
-go blue</w>
-fol ded</w>
-un acceptable</w>
-optim al</w>
-li sa
-pol aro
-+ .</w>
-en za</w>
-âĿ £ï¸ı</w>
-mon opoly</w>
-grace ful</w>
-dair y
-du a</w>
-diffic ulty</w>
-judge ment</w>
-o si
-mer sey
-flu x</w>
-new found
-ter ns</w>
-dimen sional</w>
-in vic
-al ba</w>
-am it</w>
-abudha bi</w>
-alger ia</w>
-autom obile</w>
-the ad</w>
-lo tion</w>
-acceler ator</w>
-vac ant</w>
-iti on
-lu f
-al ic
-pl l</w>
-bla zing</w>
-ba z</w>
-sen e
-ðŁij ¼
-villa ins</w>
-direc tory</w>
-eis en
-to ck</w>
-broch ure</w>
-ri pp
-hb d
-zayn malik</w>
-nic he</w>
-lo lol</w>
-certific ates</w>
-mor se</w>
-fac up</w>
-x ham</w>
-un wanted</w>
-im ports</w>
-carne gie</w>
-fan sign</w>
-mo u</w>
-r alph
-destroy er</w>
-sw ing
-trek king</w>
-cili ation</w>
-pit bull</w>
-g aps</w>
-ho well</w>
-defin itive</w>
-mc le
-f ps</w>
-et z</w>
-bol ly
-lyn n
-gan o</w>
-at ure
-fur suit
-co il</w>
-na v</w>
-but ts</w>
-tro jans</w>
-eu re
-en ko</w>
-sch umer</w>
-horri fic</w>
-install ment</w>
-br b</w>
-subur bs</w>
-a bel</w>
-vi r</w>
-de sh
-cun ningham</w>
-ðŁIJ »</w>
-span n</w>
-sch we
-ke mp</w>
-tr u</w>
-ste alth</w>
-qu es
-le w</w>
-deli ghts</w>
-ko ch</w>
-hu mili
-cr iti
-il t</w>
-sp ells</w>
-mi ley
-car ic
-ðŁį ´</w>
-lc fc</w>
-substitu te</w>
-oun g</w>
-? !!</w>
-af fir
-predic table</w>
-class of</w>
-er r</w>
-cy press</w>
-chand ra</w>
-age ing</w>
-__ __</w>
-ther land</w>
-don caster</w>
-el in
-yo shi</w>
-sail ors</w>
-har ris
-jo anna</w>
-niger ians</w>
-h ers</w>
-pla gue</w>
-pro cra
-k no</w>
-can ton</w>
-busine s
-un h
-pra kash</w>
-c in</w>
-bow en</w>
-co ating</w>
-m als</w>
-be gging</w>
-smith son
-ponti ac</w>
-sp ies</w>
-dam ian</w>
-pl ine</w>
-und ant</w>
-al ta</w>
-one ss</w>
-shame less</w>
-da q</w>
-bb m</w>
-wal es
-stam pede</w>
-ser um</w>
-Ù Ĩ</w>
-cataly st</w>
-x n</w>
-ab sc
-free zer</w>
-ch un</w>
-ari os</w>
-mc cre
-fore head</w>
-he ars</w>
-damas cus</w>
-tac oma</w>
-ardu ino</w>
-encoun ters</w>
-stan ton</w>
-lg b
-ab as
-" ..</w>
-ke te
-drac ula</w>
-ele m</w>
-g ne</w>
-zepp elin</w>
-la brador</w>
-pul p</w>
-op tional</w>
-or n
-russi ans</w>
-san itation</w>
-hil ary</w>
-etsym ntt</w>
-pen alties</w>
-au st</w>
-ig ans</w>
-olympi an</w>
-medic aid</w>
-vers ace</w>
-va pe
-re stra
-pe ep
-sexi est</w>
-st alls</w>
-di le
-the a</w>
-punjab i</w>
-pupp y
-tuesday motivation</w>
-ðŁĵ ļ
-the flash</w>
-roc ket
-mo dest</w>
-chihu ahu
-on na
-k sa</w>
-hur dles</w>
-ca ve
-fail ures</w>
-sp lit
-bo ho</w>
-gur l</w>
-disappo int</w>
-ho ward
-nug get</w>
-fran z</w>
-stal ert</w>
-kaz akh
-for getting</w>
-sch ri
-ag ate</w>
-am at</w>
-eve rett</w>
-du et</w>
-veter inary</w>
-juli an
-ch ills</w>
-bra ve
-ghost busters</w>
-lan do
-gre ets</w>
-profit able</w>
-d é
-ti r
-ze e
-om en</w>
-pd x
-gray son</w>
-har i
-fix es</w>
-stab bing</w>
-swim mer</w>
-symb ols</w>
-compli ments</w>
-po se
-func tioning</w>
-th nx</w>
-gi r</w>
-corpor ations</w>
-bar low</w>
-lo e</w>
-off season</w>
-distin ctive</w>
-marvel ous</w>
-nik on
-enri que</w>
-ky u</w>
-ja ws</w>
-amo to</w>
-lom bar
-travel blogger</w>
-fa h
-ouri sm</w>
-tri stan</w>
-so e</w>
-ce ase</w>
-ðŁı ħ</w>
-z ac
-mck enzie</w>
-taxpay ers</w>
-swim suit</w>
-bl o</w>
-les ley</w>
-kan sas
-w ks</w>
-ki el</w>
-provo king</w>
-my les</w>
-str ing
-kangar oo</w>
-galac tic</w>
-fif th
-s ke</w>
-we ir</w>
-ll is</w>
-mat ory</w>
-ðŁĩ ¿
-un ci
-re productive</w>
-roo ting</w>
-ti des</w>
-gad get</w>
-.... ......</w>
-alex ander
-bow ler</w>
-scre w
-apo log
-eri ka</w>
-wal ters</w>
-shet ty</w>
-lan e
-ban ter</w>
-as ant</w>
-me so
-v ain</w>
-" ""</w>
-us i</w>
-fer din
-accomp lish</w>
-man sfield</w>
-bom bar
-collabor ating</w>
-cla p</w>
-it ure</w>
-s da</w>
-smo ky</w>
-na k</w>
-im person
-car la</w>
-com ra
-bur gl
-lo co</w>
-ti es
-in hi
-trac ey</w>
-se is
-diss er
-rr rr
-dra y
-prote ct
-cor ona</w>
-hun ger
-ck en
-c eli
-trou bled</w>
-predat ors</w>
-fic tional</w>
-shav ed</w>
-riche st</w>
-metab oli
-ful ham</w>
-gro oming</w>
-mono chrome</w>
-wa sting</w>
-as co
-ast e</w>
-ti sta</w>
-remedi es</w>
-ung soo</w>
-south end</w>
-perman ently</w>
-bu mble
-procra stin
-ident ical</w>
-practic ally</w>
-ma scul
-su ke</w>
-assu red</w>
-val erie</w>
-devi ant
-grizz lies</w>
-thi er</w>
-pur a</w>
-ne pal
-not ts</w>
-bil ateral</w>
-spo il</w>
-car mel</w>
-cine matic</w>
-ph l</w>
-ni fty</w>
-ma o</w>
-hypo cri
-la ser
-pan try</w>
-mathemat ical</w>
-el isa
-coordin ation</w>
-bel mont</w>
-a it
-radi ant</w>
-bo iler</w>
-man g
-f ag
-cr c</w>
-h ams</w>
-br in
-â¬ĩ ï¸ı
-famil ia</w>
-âĿ £</w>
-sab er</w>
-ru pert</w>
-gg an</w>
-rit z</w>
-mic h
-sal ford</w>
-le vi
-gra l</w>
-ðŁĴ ¤</w>
-n ino</w>
-ce d
-business man</w>
-ul tr
-sim ply
-compre ssion</w>
-pa ins</w>
-hal t</w>
-ë°©íĥ Ħ
-landsc aping</w>
-n f</w>
-croo ked</w>
-er d</w>
-itt in</w>
-ddle ston</w>
-sur passed</w>
-ino a</w>
-da g</w>
-bl en
-exten ding</w>
-at ing
-al gae</w>
-ball er</w>
-u mar</w>
-snoo ker</w>
-col lu
-flo wn</w>
-thu b</w>
-ridic ulously</w>
-ki sh
-op le</w>
-di re</w>
-as ser
-ari sto
-sc iss
-h ating</w>
-trou ble
-syl via</w>
-suc cul
-plo ts</w>
-sincere ly</w>
-al er
-laure ate</w>
-br ack
-att n</w>
-rif les</w>
-me to
-collec tible</w>
-cu omo</w>
-conte stant</w>
-consist ency</w>
-ant z</w>
-rang es</w>
-abig ail</w>
-de b</w>
-mini ster
-grow ers</w>
-an oo
-hoo ver</w>
-dream er</w>
-nu cle
-resear ch
-mi y
-sha hid
-ma v
-d honi</w>
-cin i</w>
-do j</w>
-hin dus</w>
-part ying</w>
-dal i</w>
-alon so</w>
-inform al</w>
-clark son</w>
-it ton</w>
-ki an</w>
-cit yo
-mor i
-la sted</w>
-as pen</w>
-libr ary
-susp ici
-qu at
-den ial</w>
-fol der</w>
-ch ori
-swee ping</w>
-eni x</w>
-ðŁį Ĥ</w>
-Ø Ń
-nas car
-handmade hour</w>
-mou l
-heat wave</w>
-em er</w>
-exam ine</w>
-ib n</w>
-gr ind
-po v</w>
-tion ist</w>
-m bo
-she ila</w>
-integr ate</w>
-om es</w>
-take away</w>
-cer v
-con nie</w>
-tic ket
-ce led</w>
-bi en</w>
-visu ally</w>
-madagas car</w>
-sor ry
-gu i</w>
-park run</w>
-tra its</w>
-la be
-pois oning</w>
-ॠĢ</w>
-vi able</w>
-bohemi an</w>
-denti stry</w>
-bad os</w>
-spr outs</w>
-mask ed</w>
-te ddy
-ðŁĺ ·</w>
-sa f</w>
-sa as</w>
-ji ang</w>
-ti ght
-spe aker
-withdra wal</w>
-bc n</w>
-as signed</w>
-class rooms</w>
-fle ming</w>
-ðŁĴ «
-super girl</w>
-tot als</w>
-table top</w>
-e books</w>
-horizon tal</w>
-cra z
-flu sh</w>
-j ard
-c dc</w>
-er son
-ãħ ł</w>
-green wood</w>
-ni h</w>
-co x
-ad a
-lit re</w>
-go ing
-v icky</w>
-cur ved</w>
-lou ie</w>
-gra ins</w>
-hy e</w>
-lon ge
-reme dy</w>
-tra inee</w>
-san jay</w>
-super stars</w>
-ma ser
-man u</w>
-s age
-wh l</w>
-ðŁĺĤ ðŁĺŃ</w>
-ðŁijį ðŁı»
-m sd
-en z
-rab hu</w>
-j oo
-gh u
-ac er</w>
-e po
-resurrec tion</w>
-justice for
-bl ended</w>
-mo da</w>
-avalan che</w>
-france sco</w>
-re spective</w>
-g s
-ye ast</w>
-wel ch</w>
-devo tion</w>
-ge tin
-athe ism</w>
-am ic
-carol yn</w>
-lo c</w>
-ld nont</w>
-ave c</w>
-us da</w>
-le gged</w>
-bra very</w>
-b lower</w>
-cow boy
-he h</w>
-sti ble</w>
-buff al
-chann el
-run chat</w>
-âĺķ ï¸ı
-ide ology</w>
-best seller</w>
-y oo
-pe anu
-bon ne</w>
-fel ic
-edi son</w>
-fr actu
-naren dra</w>
-pp ets</w>
-seym our</w>
-ri viera</w>
-he ctor</w>
-necess arily</w>
-bi anca</w>
-soci eties</w>
-the best</w>
-w g</w>
-sent ences</w>
-win k</w>
-vacc ines</w>
-pal ooza</w>
-jam ming</w>
-as f</w>
-mp us</w>
-agre ements</w>
-ec k
-ba c</w>
-hon ore
-com pul
-wild cat</w>
-im posed</w>
-yo ga
-hud son
-can celed</w>
-l ich</w>
-fu zzy</w>
-es que</w>
-ch uk
-w vu</w>
-se k</w>
-fli pping</w>
-r hon
-wi shed</w>
-wh a</w>
-cap ability</w>
-len ovo</w>
-ìĨĮëħ Ħëĭ
-vi vo</w>
-tv d</w>
-nor a</w>
-sil k
-pas adena</w>
-yo semite</w>
-valu ation</w>
-clo cks</w>
-u ber
-mr c</w>
-dar kest</w>
-au bre
-ss o
-bell y
-wrest lers</w>
-kill in</w>
-lou der</w>
-buck ley</w>
-ge el
-ad on
-un s</w>
-appe aling</w>
-ðŁij ¯
-semit ism</w>
-list ens</w>
-fit z</w>
-ãĥ³ ãĥ
-ny lon</w>
-ar ty</w>
-seem ingly</w>
-hal a</w>
-su ited</w>
-et y
-she ds</w>
-mu ffins</w>
-ap ric
-um ents</w>
-u ta</w>
-jam mu</w>
-chelse afc</w>
-star z</w>
-yo ko
-roo t
-clean sing</w>
-di ar
-pione ering</w>
-ihear tradio</w>
-dig iti
-fin dyour
-can o</w>
-ðŁĴ İ
-z ol
-spac ecraft</w>
-six ers</w>
-moi sturi
-b ile</w>
-ti sts</w>
-hor ton</w>
-rang ing</w>
-colum bi
-mete oro
-senti ment</w>
-ep l</w>
-foo th
-text book</w>
-drain age</w>
-r ly</w>
-sc ue</w>
-imran khan
-ðŁĴ ¸</w>
-margar ita</w>
-ed dy</w>
-predic ts</w>
-gamer gate</w>
-advis e</w>
-growth hacking</w>
-love you</w>
-ug and
-v f</w>
-beng hazi</w>
-s later</w>
-ne wor
-ch el</w>
-independence day</w>
-p np</w>
-cul len</w>
-hoo dies</w>
-num bered</w>
-brit t</w>
-t sa</w>
-kl tu</w>
-s ages</w>
-mom o</w>
-onep lus</w>
-col l
-gu ts</w>
-w ta</w>
-mesm eri
-enh ancing</w>
-chiro prac
-j is
-teen agers</w>
-m one</w>
-constell ation</w>
-sweep stakes</w>
-e ze
-slovak ia</w>
-la ye
-pear ce</w>
-wa ver
-po gba</w>
-k ron
-sur geons</w>
-mar x</w>
-ti d
-gg a</w>
-desc end
-p ours</w>
-upri sing</w>
-wal la
-sab bath</w>
-bachel ore
-mack in
-k am</w>
-peter borough</w>
-hor a</w>
-ðŁĮŁ ðŁĮŁ
-think big
-r j
-hy drau
-sp al
-univers it
-ðŁı ī</w>
-mail online</w>
-league of
-ten ants</w>
-w ally</w>
-lan ce
-heav ens</w>
-dd r</w>
-bol ts</w>
-am ir
-i phone
-ci gar
-en du
-re i</w>
-el abor
-r inging</w>
-john son
-characteri stics</w>
-sal oon</w>
-algori thms</w>
-tal kin</w>
-m tn
-di ve
-region als</w>
-ff ice</w>
-hat i</w>
-deviant art</w>
-so tto</w>
-shir o</w>
-l ama</w>
-k we
-f aded</w>
-por ting</w>
-tu mmy</w>
-est ates</w>
-buen os</w>
-ðŁ¦ ģ</w>
-beli ever</w>
-pen etr
-dar n</w>
-sp ite</w>
-can opy</w>
-fashi oni
-t illa</w>
-pet als</w>
-eli jah</w>
-bra wl</w>
-marty r</w>
-ë°©íĥĦ ìĨĮëħĦëĭ
-mid town</w>
-eric h</w>
-d apper</w>
-sm town</w>
-me gam
-ww w
-le le</w>
-on s
-cat fish</w>
-fir th</w>
-fossil friday</w>
-ball park</w>
-th aw
-pot ent</w>
-illi e</w>
-cre ep</w>
-car p</w>
-so ap
-gun dam</w>
-infe c
-yy yyy</w>
-ठ¨</w>
-z ag
-rit t</w>
-calcu lator</w>
-bo ca</w>
-ok o</w>
-to ad</w>
-threat en</w>
-refin ed</w>
-olym pic
-accompli shment</w>
-bacter ial</w>
-a ji
-tat um</w>
-feli z
-she ed</w>
-j at
-th ic
-jam al</w>
-ðĿ ĺ
-lin a</w>
-ðŁIJ ¯</w>
-jo king</w>
-yot po</w>
-pin ch</w>
-ak ron</w>
-her b
-motiv ation
-li a
-ho stage</w>
-cre ek
-gam ble</w>
-russ ell
-patt i</w>
-fo tos</w>
-c pc</w>
-bro ken
-back the
-cla ys</w>
-u mm
-stock ton</w>
-mat ernal</w>
-ü r
-la kel
-cent ury
-be k</w>
-infe cted</w>
-ภ¡
-smack down</w>
-man ned</w>
-ta hoe</w>
-sm es</w>
-bas a</w>
-su la</w>
-augu sta</w>
-. *</w>
-rohing ya</w>
-gre ed</w>
-counsel or</w>
-silhou ette</w>
-gra vit
-cla use</w>
-' -</w>
-bo bc
-occa sions</w>
-now adays</w>
-dic tat
-be ard
-n ally</w>
-brigh test</w>
-kab ul</w>
-inc india</w>
-dhan ush
-archae ological</w>
-che ape
-mizz ou</w>
-d hi</w>
-ov ski</w>
-bax ter</w>
-asse mble</w>
-Ã ¢
-gi gi</w>
-ac am
-wis ely</w>
-haz ard
-north ampton</w>
-âľĪ ï¸ı
-me th</w>
-bla sting</w>
-re unite</w>
-mu lus</w>
-ali zes</w>
-t read
-mil a</w>
-ed ward
-ko va</w>
-pe sto</w>
-ðŁij ¶
-vit z</w>
-hydrau lic</w>
-refurbi shed</w>
-mo tel</w>
-isab ella</w>
-hom me</w>
-sever ance</w>
-uph ol
-mis erable</w>
-f ari
-lat ter</w>
-ef er</w>
-crack ers</w>
-es l</w>
-ac io</w>
-yy j</w>
-in an</w>
-ec b</w>
-z ind
-pan as
-tru cking</w>
-re ed
-sh aker</w>
-burge ss</w>
-em pire
-ag nes</w>
-n ington</w>
-art works</w>
-fr s</w>
-ti le
-bi ome
-eu n</w>
-ch ong</w>
-americ ana</w>
-god father</w>
-go blin</w>
-i shi
-! ).</w>
-temp ted</w>
-gen omics</w>
-mand ate</w>
-ck y
-ðŁĴĻ ðŁĴĽ</w>
-som ali</w>
-br andy</w>
-in ven
-spoke sperson</w>
-pc b</w>
-yu an</w>
-h g</w>
-fa z
-starwar s
-ro wan</w>
-blue grass</w>
-don g
-d day</w>
-trin idad</w>
-er ton</w>
-ban ning</w>
-re tention</w>
-cu red</w>
-tober fest</w>
-re set</w>
-we is
-deta ched</w>
-behindthe scenes</w>
-immun ity</w>
-ph a</w>
-bra y
-ðŁij ½</w>
-ran cho</w>
-ram say</w>
-est onia</w>
-nd tv</w>
-] .</w>
-cab aret</w>
-tar o</w>
-d v</w>
-show cases</w>
-plu m
-ðŁij ¸
-son oma</w>
-pre pa
-memor ab
-e stu
-drive way</w>
-u les</w>
-magn us</w>
-x r</w>
-nn n</w>
-much as</w>
-en ge
-stre amed</w>
-fore stry</w>
-audio book</w>
-tro y
-reck less</w>
-kil om
-ru ler</w>
-ra k</w>
-proce ssion</w>
-i ons</w>
-po ole</w>
-noc tur
-wh s</w>
-farm house</w>
-per a</w>
-par me
-hypocri sy</w>
-s ics</w>
-v ant
-cas k</w>
-holi stic</w>
-au st
-Ð ¿
-in do
-ðŁij© âĢį
-di so
-disp atch</w>
-ol sen</w>
-make it
-en nis</w>
-cent re
-ar range</w>
-ðŁĮ ¼</w>
-sal ted</w>
-ea siest</w>
-f ate
-reg atta</w>
-mo zz
-ac an</w>
-sin i</w>
-g ically</w>
-ch ops</w>
-chick en
-work in</w>
-ha gg
-invol ve</w>
-wee ds</w>
-book day</w>
-wake up
-ky r
-michel in</w>
-fu ss</w>
-re juven
-vac ancies</w>
-incar cer
-m st</w>
-sc ents</w>
-sovere ign</w>
-kick er</w>
-à §
-bo d</w>
-âĢĶ ></w>
-sa h</w>
-mob il
-shrop shire</w>
-oph one</w>
-dress er</w>
-mis suni
-hep burn</w>
-i mo
-foli age</w>
-diagno stic</w>
-as san
-cycl ing
-guil t</w>
-c sa</w>
-puertor ico</w>
-win elover</w>
-wake field</w>
-do ggy</w>
-k he
-pa pp
-co g
-al lot
-cu ck
-poe tic</w>
-mi o</w>
-re vit
-mag ician</w>
-ç ¥
-ant enna</w>
-west wood</w>
-mber g</w>
-lux e</w>
-oat meal</w>
-Ø ¬
-te at
-ffe e</w>
-sear ches</w>
-l ly</w>
-plu to</w>
-el on
-let tering</w>
-inno cence</w>
-fa i</w>
-ann on</w>
-telang ana</w>
-ma it
-neu ral</w>
-can ni
-ar oma</w>
-a stor
-fe x</w>
-co cac
-mon etary</w>
-f ent
-un sure</w>
-' @</w>
-indi rec
-teh ran</w>
-isol ation</w>
-li bs</w>
-make up
-merce des
-ff y
-he tero
-de o
-sco m</w>
-cur sed</w>
-veteran sday</w>
-franken stein</w>
-shre ws
-de co
-ge ese</w>
-lefto ver</w>
-ha did</w>
-vari able</w>
-acade mics</w>
-carol in
-under going</w>
-vari ation</w>
-na h
-ssi er</w>
-gamer sunite</w>
-pur suing</w>
-emer ged</w>
-ll ers</w>
-control ling</w>
-ro aring</w>
-mete or
-vol t</w>
-daw gs</w>
-be aver
-is life</w>
-bathro oms</w>
-aci onal</w>
-pre vent
-lake district</w>
-in als</w>
-y ani</w>
-gra bbing</w>
-sac ks</w>
-le z</w>
-sw ay
-k ool</w>
-time s
-klo pp</w>
-la de</w>
-con cord</w>
-resul ted</w>
-revi ve</w>
-recon ciliation</w>
-ol and</w>
-az z</w>
-gir o</w>
-mand arin</w>
-de en
-nutriti onal</w>
-is coming</w>
-van i</w>
-aw www</w>
-der ived</w>
-love your
-stop the
-shou ting</w>
-nov ak</w>
-ðŁĻĮ ðŁı¾</w>
-lo af
-displa ying</w>
-sunday with
-ma guire</w>
-ch eri
-ðŁı Ł</w>
-re match</w>
-qu ic
-Ú ©
-y in
-ðŁĺ ¹
-ili ve</w>
-z ip
-our ke</w>
-down loads</w>
-sw at</w>
-missi ss
-care rs</w>
-t ment</w>
-proper ty
-hahahaha haha</w>
-gi bbs</w>
-sur rey
-ar ise</w>
-tic ism</w>
-sti a</w>
-ir ling</w>
-fro g
-co se</w>
-bas sist</w>
-fore ig
-lea u</w>
-pil lows</w>
-hol la</w>
-eli e</w>
-disclo sure</w>
-peanu ts</w>
-inte ch</w>
-ww c</w>
-plun ge</w>
-trium ph
-cor i
-sli ppers</w>
-ðŁĻı ðŁĻı</w>
-neutr ality</w>
-ma re
-hair y</w>
-gang ster</w>
-hu mming
-cust ard</w>
-mer lin</w>
-ale a</w>
-s by
-dam p</w>
-mo han
-ver bal</w>
-j st</w>
-gu tted</w>
-b jor
-un finished</w>
-ðŁĩ¯ðŁĩ µ</w>
-un happy</w>
-âļ« ï¸ı
-by pass</w>
-at su</w>
-fis cher</w>
-sa v</w>
-afric ans</w>
-re use</w>
-mid way</w>
-demo lished</w>
-ger rard</w>
-her cules</w>
-Ä Ł
-medic ines</w>
-cl icking</w>
-sur round
-jo ong</w>
-wav ing</w>
-tri bes</w>
-wet lands</w>
-offici el</w>
-argu ing</w>
-l le
-do va</w>
-su zy</w>
-club house</w>
-ne gro</w>
-ob tain</w>
-ga o</w>
-gl ance</w>
-assi st
-ch os</w>
-ãĤ ¢
-âĺ ķ</w>
-adri d</w>
-occur s</w>
-st ans</w>
-par don</w>
-livel i
-emplo yed</w>
-re visit</w>
-ff xiv</w>
-bb le
-ne aring</w>
-min er</w>
-ðŁĺ ¹</w>
-giov anni</w>
-up to</w>
-mar vell
-mar se
-to wels</w>
-cb n</w>
-engine ered</w>
-y elling</w>
-spart an
-si ans</w>
-ðŁĻĮ ðŁı¼
-se v
-coyo te</w>
-sta di
-t cm</w>
-app en</w>
-shenan igans</w>
-open access</w>
-so aked</w>
-ma squ
-le vine</w>
-stro kes</w>
-l k</w>
-aparthe id</w>
-hipho p
-char don
-may may
-ha asan</w>
-stri pped</w>
-fr o</w>
-scri ption</w>
-f ton</w>
-h f
-pri sons</w>
-marsh al</w>
-ķ ãĤ
-an cho
-com promise</w>
-classi fication</w>
-buzz feed</w>
-bblo ggers</w>
-deser ving</w>
-) /</w>
-s way</w>
-ob o</w>
-camp ers</w>
-poder nfamily</w>
-p oured</w>
-bri e</w>
-squir rels</w>
-se ize</w>
-: #</w>
-le k
-ti mb
-st acy</w>
-nas daq</w>
-repe atedly</w>
-br at</w>
-mi ghty
-competit or</w>
-mah one</w>
-de si</w>
-o ke
-bm w
-shi e</w>
-f cb
-cheape st</w>
-minim alist</w>
-par amount</w>
-n ate
-har as
-insan ity</w>
-lat eral</w>
-ment ality</w>
-mo zam
-ta pped</w>
-yad av</w>
-u sp
-b way</w>
-the od
-bil t</w>
-ra ids</w>
-em press</w>
-adap ted</w>
-pat ron
-nut shell</w>
-ag ra
-be aded</w>
-sundaywith marsha</w>
-vi king
-proce ed
-main tained</w>
-thinkbig sundaywithmarsha</w>
-sn es</w>
-mus ica</w>
-to wer
-ch ab
-bo k
-sm t</w>
-insul t</w>
-harve sting</w>
-windo w
-ru ther
-be ige</w>
-dec al</w>
-indic ate</w>
-ma iling</w>
-ri ft</w>
-po le
-ander son
-ch oral</w>
-sp ride</w>
-l ili
-ev elyn</w>
-imrankhan pti</w>
-.... "</w>
-ke red</w>
-un dp</w>
-water falls</w>
-se ars</w>
-le mans</w>
-world series</w>
-ri el</w>
-ani e
-app ar
-score rs</w>
-lam p
-a than</w>
-phys icians</w>
-qu inoa</w>
-refu sing</w>
-vu itton</w>
-unle ash</w>
-s la</w>
-pat i</w>
-shou ts</w>
-inten tions</w>
-fo amed</w>
-europe an
-neighbor hoods</w>
-me er
-man son</w>
-du h</w>
-br at
-con es</w>
-bow l
-kazakh stan</w>
-ठ¿</w>
-in appropriate</w>
-del hi
-ketch up</w>
-ful ton</w>
-s ys</w>
-consul t</w>
-gar field</w>
-to go</w>
-f ml</w>
-f led</w>
-b ds</w>
-facilit ate</w>
-ree bok</w>
-selfi e
-elev ate</w>
-activ ate</w>
-bi ble
-ca wx</w>
-b ys</w>
-cam ille</w>
-sy ou
-sk ool</w>
-her t
-w bc</w>
-ple dges</w>
-recor der</w>
-po sh</w>
-ac re
-so aking</w>
-mat il
-v sco
-shoot ings</w>
-pla r</w>
-e con
-ðŁĻĮ ðŁı»
-rashi d</w>
-u bi
-ðŁ¤ ¤</w>
-sw inging</w>
-wi pe</w>
-rap tor</w>
-m su
-music video</w>
-dur ham
-at tic</w>
-apar ty</w>
-fe tus</w>
-activ ation</w>
-aa z</w>
-motiv ate</w>
-ðŁĴķ ðŁĴķðŁĴķ</w>
-j al</w>
-ठ®</w>
-ag on
-sche er</w>
-stal ker</w>
-fo ster
-az zo</w>
-tele gram</w>
-vi gor
-s laugh
-screen shots</w>
-entrepre neu
-kri stin</w>
-inten tion</w>
-ch illi
-fr action</w>
-don a</w>
-ge a</w>
-tc u</w>
-s ite
-la k</w>
-em il
-d nt</w>
-bor o
-wil kinson</w>
-re cu
-ato day</w>
-t anya</w>
-bl anco</w>
-cd n</w>
-brilli antly</w>
-g cc</w>
-ac c
-evacu ated</w>
-ther ine
-den ny</w>
-cait lin</w>
-she pard</w>
-pou ch</w>
-hand held</w>
-sou theastern</w>
-ha a</w>
-Ã ´
-re solutions</w>
-led ger</w>
-sr in
-r ar
-shat tered</w>
-chim ney</w>
-im with
-mete or</w>
-hand led</w>
-ra ke
-town send</w>
-en han
-shi py
-duc t</w>
-tw x</w>
-inflam matory</w>
-war hammer</w>
-theat rical</w>
-gro s
-sk ar</w>
-sco tty</w>
-ni el</w>
-tit o</w>
-tin i</w>
-conne ction</w>
-_ .</w>
-goldeng lobes</w>
-sha q</w>
-ðŁı ³ï¸ı
-hall way</w>
-fron ts</w>
-effec tiveness</w>
-gla ston
-d hs</w>
-ex pi
-to h</w>
-c pl</w>
-sc s</w>
-re o</w>
-ha g
-resemb lance</w>
-hor an</w>
-abu sive</w>
-qu er</w>
-virtu e</w>
-cho lester
-a q</w>
-shan e
-m ce
-carri ers</w>
-di stress</w>
-re wind</w>
-Â ¡
-voo doo</w>
-int act</w>
-ann o</w>
-ðŁĺ ¤
-pi led</w>
-adi a</w>
-ãĥ ³</w>
-en ow</w>
-di gs</w>
-light ly</w>
-goo fy</w>
-turb ine</w>
-governor s</w>
-con te</w>
-re open</w>
-pa h</w>
-i ve
-cra fting</w>
-swee ps</w>
-jo di</w>
-an de
-zu cker
-kaw aii</w>
-o ko
-v ai
-out line</w>
-kri sti
-ts n</w>
-insp o</w>
-qu int
-fil thy</w>
-lyn ne</w>
-listen ers</w>
-depar ting</w>
-or d
-t weed</w>
-, &</w>
-ale k
-sel fish</w>
-nor ther
-recogni zes</w>
-i ps</w>
-be s
-a ed</w>
-w ills</w>
-pe at</w>
-surround ings</w>
-mon uments</w>
-ais le</w>
-be cker</w>
-la v</w>
-quant ity</w>
-v ah</w>
-helicop ters</w>
-tu cked</w>
-alv arez</w>
-sha pe
-o bey</w>
-ad diti
-road side</w>
-m ite</w>
-bl ers</w>
-ep age</w>
-j au
-ignor ant</w>
-b ins</w>
-lu lu</w>
-x o
-c fo</w>
-ee eee</w>
-apprentice ship</w>
-shef fiel
-to i</w>
-ho k
-faken ews</w>
-deplo y</w>
-aid an</w>
-husk ers</w>
-ãĢ İ</w>
-west brook</w>
-mi ster
-confi gur
-car r
-fic a</w>
-proceed ings</w>
-ha w</w>
-ste ak
-mur derer</w>
-pay day</w>
-a jo</w>
-p vc</w>
-don ates</w>
-bi af
-nom nom</w>
-be it</w>
-k ali</w>
-x rp</w>
-ahmed abad</w>
-se mic
-che y
-x tra</w>
-an twer
-head lining</w>
-squ ares</w>
-roun ded</w>
-flu ore
-bol d
-disa sters</w>
-am oo</w>
-gener ic</w>
-cran es</w>
-brief ly</w>
-gi g
-auster ity</w>
-anticip ation</w>
-for ti
-treas urer</w>
-cann y</w>
-ce cil
-dete cted</w>
-check list</w>
-ภ§
-pam ela</w>
-bar bados</w>
-an field</w>
-hear ty</w>
-tx lege</w>
-peren ni
-arro g
-ing ram</w>
-âĹ ı</w>
-ty ne
-spo on
-r ation
-am ba</w>
-m be</w>
-cam el
-h hs</w>
-york shire
-reflec tive</w>
-fre aks</w>
-to k</w>
-ju do</w>
-partic les</w>
-du bs</w>
-ban jo</w>
-accred itation</w>
-prover bs</w>
-over dose</w>
-inte gral</w>
-gu ang
-mc s</w>
-super car</w>
-af b</w>
-al vin</w>
-ail s</w>
-x tre
-st aging</w>
-tw ent
-rabb its</w>
-mar o
-inste m</w>
-dol l
-cr ay</w>
-sant ana</w>
-ble ach</w>
-mini ons</w>
-che ap
-man t</w>
-di vers</w>
-catal onia</w>
-lo is</w>
-mat ri
-cou gar</w>
-kay ak</w>
-e gre
-p so
-a ia</w>
-å ®
-char lton</w>
-tr acked</w>
-sc ari
-pe tt
-f wd</w>
-x in
-gra vel</w>
-br ic
-bigg boss</w>
-ar den</w>
-hu gging</w>
-pal ms</w>
-st v
-li mb
-the movie</w>
-handic ap</w>
-ri me</w>
-z ai</w>
-stu b
-indi a
-lithu ania</w>
-rhy th
-p ita</w>
-maced onia</w>
-high ered</w>
-brid get</w>
-schwar z
-ske let
-hi kes</w>
-ant arctic</w>
-c ps</w>
-mash up</w>
-Ð °</w>
-n ell
-chand ra
-he ir
-an us</w>
-sher idan</w>
-mi mi</w>
-muse u
-bec ca</w>
-an ir
-bar rie</w>
-dioce se</w>
-compar able</w>
-ðŁı³ï¸ı âĢį
-yuk on</w>
-me p</w>
-hor mon
-mer ic</w>
-al f</w>
-con quered</w>
-christ church</w>
-ðŁĴĻ ðŁĴĻ</w>
-hazard ous</w>
-poo h</w>
-cont ing
-retro spective</w>
-par ame
-na ir</w>
-con sor
-ho tra</w>
-astoni shing</w>
-cater pillar</w>
-u man</w>
-ti sm</w>
-t vs</w>
-serv ic
-croy don</w>
-mor ales</w>
-c g
-cu m</w>
-te ur</w>
-scan ada</w>
-s all
-magno lia</w>
-el ise</w>
-th our</w>
-à® ¿</w>
-ag omez</w>
-phel ps</w>
-ë°©íĥĦìĨĮëħĦëĭ ¨</w>
-wh os</w>
-weav ing</w>
-si sd</w>
-pro poses</w>
-cro ws</w>
-pre sale</w>
-econom ies</w>
-bernar do
-sha hid</w>
-air show</w>
-mc cann</w>
-hor ticul
-nr l
-du el</w>
-mongo lia</w>
-tou lou
-requi rement</w>
-struc tured</w>
-ed i</w>
-o lives</w>
-he a
-cu ter</w>
-Ð º
-enthusi ast</w>
-harri et</w>
-domin ion</w>
-sub mer
-ðŁį ĥ
-sa ab</w>
-nes burg</w>
-mo ff
-def ended</w>
-bur t</w>
-rewar ded</w>
-gold man</w>
-op tics</w>
-khali d</w>
-house holds</w>
-buc kets</w>
-ce cil</w>
-che ss
-substan tial</w>
-ef l</w>
-oper ation
-evalu ate</w>
-st n</w>
-rece ssion</w>
-l ll</w>
-tom as</w>
-tru ths</w>
-ak bar</w>
-s words</w>
-p act</w>
-embarra ss
-ha o</w>
-ay urve
-scrip ture</w>
-ny cc</w>
-op t</w>
-di ameter</w>
-sc ented</w>
-organi zers</w>
-re lat
-ha e</w>
-dream ers</w>
-de se
-ðŁĮ »
-restric ted</w>
-n ale</w>
-r hp</w>
-dol an</w>
-mun ster</w>
-ha ired</w>
-consult ants</w>
-jo ints</w>
-hu mil
-d ill</w>
-relent less</w>
-t é
-af il
-ut ilities</w>
-japan ese
-condem n</w>
-pet ite</w>
-colli de</w>
-q f</w>
-peach es</w>
-cou rier</w>
-l ore</w>
-âĺİ ï¸ı</w>
-reli ability</w>
-ch uk</w>
-ðŁĻ ĥ
-stu res</w>
-ge ther</w>
-ho stel</w>
-bi er
-- _-</w>
-â ĩ
-e ze</w>
-ta ilo
-di ent</w>
-blu ff</w>
-chu ffed</w>
-pil ip
-mon arch
-e em</w>
-bu chan
-b ick
-op au
-ku ps</w>
-ภ¢
-pist ons</w>
-sp ins</w>
-m and</w>
-ce st</w>
-bur ne</w>
-v ile</w>
-cher ries</w>
-bec kett</w>
-need les</w>
-pan ch
-ë Ĥ
-haha h
-trou bles</w>
-insi sts</w>
-do you
-g mc</w>
-mor tar</w>
-deleg ate</w>
-in n
-g anda</w>
-sin atra</w>
-ठ¤</w>
-spee ding</w>
-pu pil</w>
-pre mises</w>
-ali gnment</w>
-pi kach
-as us</w>
-j alan</w>
-Ø µ
-lime stone</w>
-fol kl
-parme san</w>
-ce il
-mo y
-shawn mendes</w>
-ac up</w>
-hu st
-ot es</w>
-med ina</w>
-ma di</w>
-gta v</w>
-censor ship</w>
-ar g</w>
-swe eney</w>
-sy kes</w>
-col o</w>
-foot steps</w>
-cann ed</w>
-adv ance
-gta online</w>
-healthy living</w>
-ðŁį ¾
-a ig
-p ality</w>
-oc s</w>
-he brew</w>
-im minent</w>
-berk shire</w>
-jeremi ah</w>
-out going</w>
-bak er
-entr ata</w>
-ma ids</w>
-gro ves</w>
-bo c
-a del</w>
-m fw</w>
-con science</w>
-arm ys</w>
-nut ella</w>
-conte stalert</w>
-novel ist</w>
-la h
-ban ker</w>
-marque z</w>
-ðŁı ¡</w>
-to ff</w>
-out age</w>
-gr p</w>
-ðŁĺŃðŁĺŃ ðŁĺŃðŁĺŃ</w>
-musc le
-du dley</w>
-nvi dia</w>
-mi di</w>
-m uni
-ess ays</w>
-dat ac
-car ter
-ภ£</w>
-t ans</w>
-i ves</w>
-public ations</w>
-al er</w>
-ok wx</w>
-il u
-cu tt
-har p</w>
-out law</w>
-luther an</w>
-br ill
-bo lic</w>
-do well</w>
-green land</w>
-be sties</w>
-path i</w>
-pay ton</w>
-gue st
-har den</w>
-ðŁ¤ ©
-ann ed</w>
-evacu ation</w>
-po ised</w>
-mc der
-b han
-o i
-envel ope</w>
-ci d</w>
-ca vi
-ta pas</w>
-book review</w>
-grey hound</w>
-âĻ ª
-fe ud</w>
-lun gs</w>
-for te</w>
-rai der
-ff er
-oni x</w>
-dep end</w>
-yn wa</w>
-rel ating</w>
-de vs</w>
-ðŁĴ IJ
-acqui res</w>
-d ha</w>
-j yo
-priv ati
-can ine</w>
-k b
-cra b
-sar din
-imag ining</w>
-k j
-em por
-down hill</w>
-ne z</w>
-ta eyeon</w>
-nick imin
-gb p</w>
-à µ
-w ap
-sec co</w>
-ma shed</w>
-ðŁĴ¥ ðŁĴ¥
-augu stine</w>
-diss ol
-dic tator</w>
-â ĵ
-vi per</w>
-ed fringe</w>
-vau x
-hard work</w>
-book let</w>
-no x</w>
-chi ff
-ðŁĴ ¨
-observ ations</w>
-xbox one</w>
-u sher</w>
-ke er
-lu p</w>
-dal las
-cal gary
-ma dra
-di ous</w>
-k bs</w>
-wood ward</w>
-hero ine</w>
-lu mber
-sea world</w>
-o ws</w>
-mc ke
-maver ick</w>
-gu la</w>
-cross roads</w>
-fan g</w>
-s ade</w>
-nik ol
-chee tah</w>
-me c</w>
-pp g</w>
-er ick
-ðŁİ µ
-tox ic
-bj j</w>
-viol a</w>
-sp ire</w>
-ch ino</w>
-tra vis
-institu tional</w>
-ha as</w>
-low ry</w>
-w ac
-ea e</w>
-hu mid</w>
-mp ton</w>
-ru ck
-je w</w>
-c ine</w>
-zim mer
-se f</w>
-bhar at
-fre es
-aam ir</w>
-ðŁĴ ħ
-z inc</w>
-wan e</w>
-multi player</w>
-royal wedding</w>
-e el</w>
-preci pit
-qu ery</w>
-kimber ly</w>
-isa bel</w>
-ful fill</w>
-ig an</w>
-vau l
-pan e</w>
-sc y
-dig it</w>
-gun n</w>
-u tah
-dog day</w>
-fi on
-xia omi</w>
-da c</w>
-el ast
-cha vez</w>
-ro blo
-g ine
-ten th</w>
-ab h
-ke to
-hur dle</w>
-na dia</w>
-memorab ilia</w>
-ha bs</w>
-qu an</w>
-h w
-hv ac</w>
-pix ar</w>
-ec cle
-kram er</w>
-accu ses</w>
-ðŁĴļ ðŁĴļ
-per se
-mean time</w>
-wa hl
-atle tico</w>
-âĢ¢âĢ¢ âĢ¢âĢ¢
-ott oman</w>
-no vo
-k us</w>
-conne cted</w>
-tru sts</w>
-d mv</w>
-spen cer
-rahu lg
-do ve
-sto kes</w>
-bolog na</w>
-enthusi asts</w>
-Ã ª
-rockstar games</w>
-ted cruz</w>
-du ras</w>
-s acked</w>
-late x</w>
-immer sive</w>
-cer t</w>
-lu cin
-princi pals</w>
-fa res</w>
-sa ils</w>
-far n
-am ent</w>
-saf fron</w>
-quent in</w>
-check point</w>
-fer ris</w>
-ex cur
-ðŁijī ðŁı¼</w>
-bai ley
-se h
-ter re</w>
-mad am</w>
-s band</w>
-wan derers</w>
-cumber batch</w>
-yy c
-digit ally</w>
-blackandwhite photography</w>
-roll in</w>
-moroc can</w>
-ðŁĮ ħ</w>
-din ner
-d well
-to om
-m ye
-ez ra</w>
-cp fc</w>
-war hol</w>
-me er</w>
-jon ah</w>
-no aa</w>
-s gate</w>
-so on
-secu lar</w>
-g ating</w>
-ti o</w>
-dri ver
-si ssy</w>
-assan ge</w>
-ta th
-ed mund</w>
-bobc ats</w>
-ra ji
-po stage</w>
-stu ds</w>
-m gm</w>
-kat o</w>
-edin burgh
-meet the
-shir t
-fa a</w>
-mens fashion</w>
-sp reads</w>
-wi m</w>
-car ts</w>
-phoe be</w>
-j ars</w>
-bot swana</w>
-Ù Ĥ
-ed war
-sk ar
-ri ve
-gu sty</w>
-c tv</w>
-ferdin and</w>
-su therland</w>
-nickimin aj</w>
-k v
-si us</w>
-bee ch</w>
-re z
-desi res</w>
-on ial</w>
-camp o</w>
-quar ry</w>
-lor raine</w>
-gil more</w>
-ig gy</w>
-µ ï¸ı</w>
-ho pping</w>
-avi z</w>
-ðŁĮ º
-uni sex</w>
-dedic ate</w>
-att itudes</w>
-ste er</w>
-jun kie</w>
-rail way
-y b</w>
-whi sper</w>
-key an</w>
-k us
-ju g</w>
-di x</w>
-a ins</w>
-sum mon
-ov ich</w>
-sy ed</w>
-her ald
-ma ison</w>
-me ded</w>
-wild flower
-main land</w>
-ri sky</w>
-ru kh</w>
-over looked</w>
-ki c</w>
-destro ys</w>
-nam an</w>
-ki p
-z ano</w>
-champion sleague</w>
-ban dit</w>
-quin cy</w>
-smi le
-cal vin
-open ings</w>
-ta pp
-ol ulu</w>
-spec tro
-accred ited</w>
-ap k</w>
-pra ised</w>
-bar nett</w>
-pol len</w>
-premi ered</w>
-selen agomez</w>
-tou red</w>
-screen ings</w>
-uu u</w>
-mis o
-en se</w>
-adam lambert</w>
-guel ph</w>
-har yana</w>
-hu tto
-le ar</w>
-l tc</w>
-po ached</w>
-brex it
-æ Ŀ
-tt c</w>
-pa vement</w>
-mon gers</w>
-ro e
-ad ers</w>
-ling ton
-particip ant</w>
-ca red</w>
-ga il</w>
-y ates</w>
-lan tic</w>
-dash board</w>
-jo o</w>
-feli pe</w>
-ssi onist</w>
-bu m
-s end
-a eri
-thu gs</w>
-luci fer</w>
-a he
-dete ctor</w>
-fil ly</w>
-gas oline</w>
-ham per</w>
-hump day</w>
-the ta</w>
-the band</w>
-fore casts</w>
-o hhh</w>
-lo bb
-hol l
-cp u</w>
-az u
-ad ar
-hai ley</w>
-bu b
-car t
-quo ted</w>
-an archy</w>
-pan cre
-twit art</w>
-al den</w>
-st ash</w>
-the less</w>
-or ni
-belie bers</w>
-mor mon</w>
-partic le</w>
-avi ation
-⬠Ĩ
-webcam toy</w>
-sad dened</w>
-cru is
-ham let</w>
-n ct
-roll ins</w>
-marque e</w>
-saw yer</w>
-reli ance</w>
-a ura</w>
-di ec
-soo thing</w>
-sig nings</w>
-ak is</w>
-Ã ³</w>
-at kins</w>
-aer op
-ðŁĮ ¿
-y ab
-sh ari
-con nol
-du bbed</w>
-manufac ture</w>
-convin cing</w>
-feelthe bern</w>
-ra u
-pu lit
-on ec
-gem stone</w>
-ur ging</w>
-bag u
-ga h</w>
-aci ds</w>
-fi anc
-zodi ac</w>
-sn oop</w>
-her rera</w>
-initi ated</w>
-ven ge
-profess ors</w>
-pro di
-stron ger
-e mission</w>
-bb a</w>
-hal le
-ta pp</w>
-haw an</w>
-wh im
-compe ted</w>
-myr tle</w>
-ir port</w>
-cold play</w>
-ach e
-ske p
-m son
-ss ic
-calli graphy</w>
-swim mers</w>
-me y</w>
-pp c</w>
-thri ft</w>
-po c</w>
-re places</w>
-commu ter</w>
-âģ¦ âģ¦@</w>
-go ers</w>
-lo gue</w>
-para dig
-bas kets</w>
-sensiti vity</w>
-joh an</w>
-atl antis</w>
-& &</w>
-suit case</w>
-anxi ous</w>
-l h
-str i</w>
-gal loway</w>
-stre ad</w>
-war den</w>
-gr ounded</w>
-ffici ency</w>
-li feat
-reli c</w>
-disgu ise</w>
-island ers</w>
-f cofficial</w>
-classical music</w>
-b mc</w>
-en field</w>
-bi que</w>
-oak ley</w>
-bat man
-sla ying</w>
-ner ves</w>
-mul tit
-calci um</w>
-projec tor</w>
-scott sdale</w>
-ant ino</w>
-gri ps</w>
-kim mel</w>
-des mond</w>
-prote stors</w>
-hi atus</w>
-metaboli sm</w>
-conclu ded</w>
-press er</w>
-ti pping</w>
-sli de
-e to
-hun ting
-aus open</w>
-ri k</w>
-pp ery</w>
-innov ators</w>
-pitch ers</w>
-ag ger
-fun gi</w>
-z ad</w>
-proli fic</w>
-rockn roll</w>
-bl ames</w>
-ct ar</w>
-stam ford</w>
-q ad
-mozz arella</w>
-insan ely</w>
-den ver
-ph ouse</w>
-nom ad</w>
-ï ¿
-s ris
-pro du
-hen ley</w>
-pag an</w>
-am trak</w>
-ru bi
-in cl
-tu tor</w>
-sco tia</w>
-wo es</w>
-sing apo
-fun nel</w>
-turn bull</w>
-know ledge
-gri mm</w>
-real madrid</w>
-we are</w>
-missi les</w>
-con sol
-emo jis</w>
-sne ak
-smi ths</w>
-ru iz</w>
-br ou
-i el
-ha ver
-ðŁĮ ļ</w>
-kin gof
-basil ica</w>
-circul ation</w>
-prin ters</w>
-ta pping</w>
-ri dley</w>
-dra gged</w>
-ha j
-writ er
-fundament als</w>
-personal ities</w>
-me tre</w>
-stereo types</w>
-bur le
-best of
-n ffc</w>
-ha th
-mini stries</w>
-a ali
-trac ing</w>
-pav ed</w>
-ł ï¸ı
-g ic
-insp ire
-tu g</w>
-ha re
-repe ated</w>
-ex pon
-lol li
-rho de</w>
-pre cin
-install ations</w>
-instag ram
-az ar</w>
-i es
-sole ly</w>
-du kes</w>
-mission ary</w>
-van guard</w>
-fursuit friday</w>
-on d
-pol ari
-ma st</w>
-har an</w>
-jos é</w>
-jack ed</w>
-ec oun
-al ities</w>
-ne ph
-ra vel</w>
-moder ated</w>
-sco w
-s fb</w>
-uru guay</w>
-as o</w>
-ni g
-au du
-p ints</w>
-lat ina</w>
-ben z
-m itting</w>
-char ted</w>
-mat ology</w>
-cit ro
-biop ic</w>
-ðŁij Ń</w>
-djo kovic</w>
-fox y</w>
-agu il
-so to</w>
-an ada</w>
-sin king</w>
-sc rap
-hair s</w>
-bethan y</w>
-fact friday</w>
-ðŁIJ IJ</w>
-unlea shed</w>
-) (</w>
-contra dic
-ram on</w>
-coast line</w>
-y ong
-sn sd</w>
-li gan</w>
-p ome
-mit age</w>
-ge tt</w>
-wat i</w>
-ri sk
-so aring</w>
-bru sh
-f pl</w>
-av an
-å Ĩ
-lar son</w>
-sh ear
-mul til
-blu r</w>
-multi media</w>
-chun ky</w>
-par i</w>
-n ani</w>
-weir d
-cholester ol</w>
-char les
-dream ed</w>
-tan ning</w>
-puzz les</w>
-fr am
-hand ball</w>
-ch ag
-beli ze</w>
-al u</w>
-bang s</w>
-Ñ Ħ
-detec tives</w>
-mc g</w>
-ish q
-bo thered</w>
-saf c</w>
-mp ing</w>
-ten eri
-g ays</w>
-sail or
-an gi
-mul ticul
-gue ssed</w>
-ros é</w>
-high ways</w>
-bro om</w>
-chatt anoo
-- '</w>
-see ker</w>
-on ed
-at f</w>
-lu c</w>
-> <</w>
-bar i</w>
-per cep
-jewel ry
-as ph
-sor row</w>
-sl ing
-mam moth</w>
-jac kie
-ë §
-wilt shire</w>
-sa o</w>
-can cell
-im paired</w>
-tor ial</w>
-bre ed
-guy en</w>
-jud ice</w>
-tit le
-pro spective</w>
-applic ants</w>
-ðŁį Ĭ</w>
-epis cop
-e id
-b yo
-stock ings</w>
-ðŁĴĥ ðŁĴĥ
-ll p</w>
-sna g</w>
-keep it
-l ough</w>
-ol son</w>
-matur ity</w>
-!! !"</w>
-cop ter</w>
-i sha</w>
-bl i</w>
-wil mington</w>
-tr youts</w>
-th ai
-ðŁ¥ ³</w>
-pe bble</w>
-kra ft</w>
-f p
-Â º</w>
-ssi vely</w>
-li vin</w>
-contest ants</w>
-tex tures</w>
-jo an
-h dr</w>
-film festival</w>
-prov ence</w>
-wi do
-op end
-c si</w>
-sto wn
-cro ati
-ad just</w>
-host ile</w>
-analy sts</w>
-il an</w>
-cu ppa</w>
-bru m</w>
-newfound land</w>
-good win</w>
-me tt</w>
-mall orca</w>
-plu gs</w>
-bu k
-bb hutto
-wrest le</w>
-sa ire</w>
-sho pped</w>
-for za</w>
-le head</w>
-vi vo
-ba st
-ro xy</w>
-reg is</w>
-hard working</w>
-hon olulu</w>
-desp air</w>
-young sters</w>
-ni g</w>
-impro mp
-roll tide</w>
-de emed</w>
-tre ason</w>
-ru shed</w>
-for ged</w>
-ff f</w>
-pikach u</w>
-bri ggs</w>
-do it</w>
-ac cent
-la us</w>
-gla ze</w>
-compet ent</w>
-a ho
-photo g</w>
-mid field</w>
-le go
-har vard
-min orities</w>
-re illy</w>
-slic ed</w>
-once upon
-initi ally</w>
-financi ally</w>
-landscape photography</w>
-har dro
-qu o</w>
-mm ers</w>
-par kinson</w>
-smu gg
-read iness</w>
-bru tally</w>
-glou cester
-mp ed</w>
-bbhutto zardari</w>
-mur der
-ye d
-dat aviz</w>
-sr t</w>
-dow ning</w>
-bi ans</w>
-m ü
-fle ck</w>
-fli pped</w>
-s ly
-brilli ance</w>
-ri m
-k um</w>
-bubb a</w>
-ko i</w>
-knit ted</w>
-sor g</w>
-ma is</w>
-ðŁĮ ²</w>
-ti ss
-su stain</w>
-sen su
-ak han</w>
-zi est</w>
-exam ines</w>
-chardon nay</w>
-user name</w>
-short list</w>
-re bs</w>
-on o
-dar ing</w>
-hard wood</w>
-che que</w>
-righte ous</w>
-light ening</w>
-dir k</w>
-shra dd
-du ra
-down stairs</w>
-sh al</w>
-ami gos</w>
-ru ff
-s law</w>
-ri es
-red nation
-man us</w>
-ðŁĩ§ ðŁĩ·</w>
-distin ction</w>
-u bun
-dur an</w>
-mi gra
-thi ans</w>
-la ver
-domest ic
-k x
-jaz zy</w>
-justi fy</w>
-belong ing</w>
-insul ation</w>
-color stv</w>
-drun ken</w>
-chann eling</w>
-qu and</w>
-xi ii</w>
-enligh ten
-kan o</w>
-fati ma</w>
-teen choice</w>
-terri fied</w>
-p ba</w>
-as ley</w>
-met museum</w>
-dun e</w>
-pack er</w>
-ki o
-ðŁĴľ ðŁĴľ</w>
-bo iler
-fas cism</w>
-ar mored</w>
-back grounds</w>
-in mates</w>
-embarra ssed</w>
-defin es</w>
-th d</w>
-we go</w>
-silic one</w>
-lo on</w>
-el ding</w>
-bor rowed</w>
-he mp
-ak sh
-kaw asaki</w>
-br y</w>
-de af
-kill er
-dispo sal</w>
-ðŁĩ °
-glaston bury</w>
-un covered</w>
-o xide</w>
-po ff</w>
-d ant</w>
-k j</w>
-ku ro
-dri zzle</w>
-peop les
-fe e
-pro pri
-dd lovato</w>
-pi ggy</w>
-ot is</w>
-aller gies</w>
-u bis
-pengu in
-ser a</w>
-vi z
-prosp erous</w>
-ici des</w>
-tornad oes</w>
-sene gal</w>
-web cast</w>
-sto red</w>
-enchan ted</w>
-bb cone</w>
-bay area</w>
-entrepreneu rial</w>
-rednation rising</w>
-experim enting</w>
-ang an</w>
-lot to</w>
-they re</w>
-por e</w>
-er p</w>
-seren e</w>
-east wood</w>
-bro kers</w>
-bar ge</w>
-stal lion</w>
-timber lake</w>
-tailo red</w>
-dy stop
-b ate</w>
-lat ors</w>
-di xit</w>
-bran son</w>
-dynam o</w>
-ky lie
-shame ful</w>
-bt wn</w>
-spring time</w>
-mix ture</w>
-s ounded</w>
-lu ton</w>
-dad es</w>
-mal a</w>
-op ra</w>
-en ic</w>
-rahulg andhi</w>
-se wer</w>
-~~ ~~
-ky u
-nor theastern</w>
-ca er
-bc u</w>
-nir vana</w>
-kitch ens</w>
-ous y</w>
-al m</w>
-river dale</w>
-hid den
-fl int
-sp d</w>
-pat rons</w>
-katy perry</w>
-au gh
-exhib itions</w>
-sm c</w>
-shu ts</w>
-at ore</w>
-da in</w>
-some thing
-ber th</w>
-bo g</w>
-por ter
-gen to</w>
-con cussion</w>
-ang lic
-ro we</w>
-gr illing</w>
-scar lett</w>
-master ing</w>
-mor nin</w>
-comm ented</w>
-si me
-si zing</w>
-christ y</w>
-ce os</w>
-st m</w>
-at ry</w>
-tari ffs</w>
-vac ation
-pre judice</w>
-p su</w>
-paren tal</w>
-far age</w>
-can a</w>
-cap com</w>
-koso vo</w>
-you re
-men stru
-stal in</w>
-grape fruit</w>
-br an</w>
-che sa
-dav en
-exc el
-!! )</w>
-๠Į</w>
-distribu tor</w>
-ce a</w>
-bride sma
-millenni al</w>
-wa in
-ob serving</w>
-mis ery</w>
-plan etary</w>
-expo sing</w>
-bra ised</w>
-comp ton</w>
-don gha
-q l</w>
-spring steen</w>
-th ul
-syl ve
-cab o</w>
-pal ad
-niel sen</w>
-gaz ing</w>
-ba ja</w>
-r oud</w>
-orchi ds</w>
-johan nesburg</w>
-se man</w>
-d ji</w>
-oper ative</w>
-affe ction</w>
-eclec tic</w>
-at c</w>
-mut ant</w>
-aw x</w>
-nic e
-mel bourne
-indu lg
-tu lip</w>
-dias pora</w>
-wel p</w>
-big gie</w>
-mississ auga</w>
-retri ever</w>
-or an</w>
-tam my</w>
-c ta</w>
-hipp o
-seas oned</w>
-ger mans</w>
-eng v
-marvell ous</w>
-im f</w>
-rela ys</w>
-mon tan
-maur iti
-me ister</w>
-as surance</w>
-reig ning</w>
-su fficient</w>
-han e</w>
-no thing
-pos se</w>
-nav y
-in love</w>
-brigh ton
-en qu
-ch ung</w>
-sweat y</w>
-es c</w>
-cal ed
-man s
-nicar agua</w>
-sl ices</w>
-mo cha</w>
-washington post</w>
-bb n</w>
-dam ned</w>
-grow ing
-en burg</w>
-lo an
-me s
-wh oops</w>
-believ ers</w>
-spi el
-vo daf
-l at</w>
-s led</w>
-cricke ter</w>
-brown e</w>
-golf ers</w>
-bar ra
-wat chers</w>
-lu igi</w>
-sw amy</w>
-mom s
-pit ched</w>
-san tor
-cr s</w>
-si re</w>
-sc amp</w>
-bo de
-ste war
-jon ny
-ent ity</w>
-pac qui
-mind ful</w>
-min india</w>
-bear ded</w>
-temp t</w>
-scorpi on</w>
-eat on</w>
-authori zed</w>
-ar to
-s vp</w>
-op athy</w>
-cch ini</w>
-house music</w>
-disney world</w>
-âĢĶ @</w>
-pro pose</w>
-di y
-expen se</w>
-ten g</w>
-pupp ets</w>
-sm el
-d aca</w>
-per ry
-fin n
-boo sting</w>
-lefto vers</w>
-cou gs</w>
-satell ites</w>
-man y
-az e</w>
-g ong</w>
-fi e
-metho do
-fer ries</w>
-ðŁ¤Ķ ðŁ¤Ķ</w>
-explore rs</w>
-load er</w>
-attrac ted</w>
-il ton</w>
-godd amn</w>
-pi azza</w>
-doc tr
-sav ing
-paragra ph</w>
-visu alization</w>
-may ors</w>
-work flow</w>
-ack les</w>
-ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ
-ठ¸</w>
-twer k</w>
-clu t
-lo ver
-te ases</w>
-si an
-o te
-deter ior
-accor d</w>
-l fw</w>
-swar ovski</w>
-nat al</w>
-tra ps</w>
-k ina</w>
-analy ze</w>
-laye red</w>
-bever ages</w>
-un it
-ran som
-pe shaw
-dest ined</w>
-astro logy</w>
-si pping</w>
-miley cyrus</w>
-cam ino</w>
-marshmal low</w>
-bli ss
-out back</w>
-fa q</w>
-int oler
-humil ity</w>
-po ppin</w>
-hallo ween
-mon tene
-op hy
-nu n</w>
-tattoo ed</w>
-a as
-ðŁĮ ³</w>
-dale y</w>
-qual ity
-du sa</w>
-fisher men</w>
-swi f
-ter rac
-st au
-le in</w>
-trol ling</w>
-ship ment</w>
-garden er</w>
-march madness</w>
-head band</w>
-gr t</w>
-bur nett</w>
-w and</w>
-!!!! !!!!!</w>
-gh e</w>
-du x</w>
-hu d</w>
-war ner
-ðŁĩ ¦</w>
-ex ile</w>
-rescu e
-rat a</w>
-d han</w>
-duc ati</w>
-dro wn</w>
-bl ends</w>
-spi e
-alli gator</w>
-simul taneously</w>
-broo ke
-u ke</w>
-k har</w>
-comm union</w>
-ri ka</w>
-ford fc</w>
-chin atown</w>
-you rown
-me y
-can al
-syste matic</w>
-de pri
-ox ford
-an il
-w ut</w>
-equ ation</w>
-be z
-fle ur</w>
-the good
-lang ley</w>
-ad ity
-ed ith</w>
-al fie</w>
-о ÑĤ
-en cry
-br ill</w>
-ex emp
-ce sar</w>
-mb ling</w>
-ab ri
-sc icom
-j ing</w>
-school ing</w>
-mi ka
-mechan isms</w>
-impromp tu</w>
-rhe a</w>
-moo re
-crime a</w>
-be sto
-wri ght
-el ders</w>
-ro ds</w>
-kam al</w>
-folkl ore</w>
-be et</w>
-mini on</w>
-reli eve</w>
-thr o</w>
-team usa</w>
-pas cal</w>
-made with
-boli via</w>
-itt i</w>
-free bies</w>
-desi red</w>
-best selling</w>
-l iness</w>
-la den</w>
-ke ane</w>
-mi sts</w>
-hipp ie</w>
-atta chment</w>
-@ /</w>
-se w</w>
-flan agan</w>
-âĿĹ ï¸ı
-supre mac
-stl cards</w>
-si as</w>
-q u</w>
-rh ys</w>
-ste ep
-val leys</w>
-v w
-pav ing</w>
-disp at
-al ison
-por te</w>
-id u</w>
-new sc
-soc ket</w>
-mo s
-co star
-re vo
-prote ins</w>
-stanley cup</w>
-m cal
-ear ring</w>
-se cs</w>
-mc lean</w>
-cap ric
-nick elo
-ad en
-v c
-shou se</w>
-adap tive</w>
-maxi mize</w>
-entertain er</w>
-pro se</w>
-gri ffi
-six teen</w>
-lam ar
-mi rage</w>
-saudi arabia</w>
-awe ather</w>
-ru st
-in filtr
-fashion week</w>
-ðŁĺĬðŁĺĬ ðŁĺĬ</w>
-selec tive</w>
-bubb le
-a den</w>
-fen nel</w>
-deci sive</w>
-m ta</w>
-mock ing
-mb les</w>
-st amp
-mu le</w>
-bernar do</w>
-gr in</w>
-po tt
-j ingle</w>
-vet tel</w>
-colom bian</w>
-cam o
-motivation monday</w>
-ba han</w>
-p ly</w>
-dh ary</w>
-k ami</w>
-x men</w>
-sleep er</w>
-gar a</w>
-my sti
-confi dential</w>
-conflic ts</w>
-p neu
-ce s
-insur tech</w>
-clean se</w>
-me rely</w>
-va is</w>
-tu x
-the great
-shar on
-ma j</w>
-hol a</w>
-eco systems</w>
-aj ay</w>
-aa j
-hu sh</w>
-har mon</w>
-backto school</w>
-wiki leaks</w>
-reflec ted</w>
-ðŁĺ ĵ</w>
-commemor ating</w>
-ac et
-buck ingham</w>
-messi ah</w>
-tu ous</w>
-hor net</w>
-to be</w>
-d q</w>
-he ine
-mi g</w>
-pl ate
-nichol son</w>
-sp ie</w>
-cumber land</w>
-nor mal
-pho bia</w>
-happy halloween</w>
-city fc</w>
-mc el
-gilli an</w>
-ke to</w>
-lu de</w>
-de mise</w>
-su ga</w>
-str ate</w>
-mcgr ath</w>
-visit scotland</w>
-foo led</w>
-cb r</w>
-gc se</w>
-col ori
-po td</w>
-missuni verse</w>
-fin ances</w>
-ma poli</w>
-for ks</w>
-Ø ´
-cann on
-medic inal</w>
-ðŁĹ ĵ</w>
-kh o</w>
-wre ck
-pan to</w>
-bag el</w>
-gu ll</w>
-syndic ate</w>
-ic y
-pr c</w>
-ki en</w>
-zi ka</w>
-ti sh</w>
-pe ta</w>
-c co</w>
-li za</w>
-ch ut
-ex traction</w>
-el g
-gl i</w>
-fu eled</w>
-pos it
-respec tively</w>
-leice ster
-br ink</w>
-vulner ability</w>
-im ported</w>
-e sha</w>
-ðŁ¦ ħ</w>
-r ural
-re ll
-gam ing
-atlan tic
-aband on</w>
-no ah
-re solved</w>
-pro state</w>
-aller gic</w>
-ps d</w>
-âĺ ¹
-dun geon
-fang irl</w>
-illumin ated</w>
-m hs</w>
-white sox</w>
-d ently</w>
-ck o</w>
-endor se</w>
-over ly</w>
-dazz ling</w>
-prior iti
-night life</w>
-ut il
-be have</w>
-flam en
-east bound</w>
-ðŁĴ Ł</w>
-ilove you</w>
-gov uk</w>
-mozam bique</w>
-alle gi
-dr i</w>
-testim onial</w>
-ath s</w>
-ì§ Ģ
-mm y
-shab by</w>
-pro secco</w>
-friend ships</w>
-cal am
-dam ages</w>
-off set</w>
-jura ssic
-jun o</w>
-arre ll</w>
-ðŁĴ ©</w>
-interven tions</w>
-dare devil</w>
-car ver</w>
-run away</w>
-ran e</w>
-truste es</w>
-ha ute</w>
-dep ths</w>
-ðŁİ Ń</w>
-me in
-sacrific es</w>
-con cier
-ne sting</w>
-i zzy</w>
-me tam
-ilove my
-ur ine</w>
-du lu
-mal hotra</w>
-ve ins</w>
-night ly</w>
-co at
-an di
-he witt</w>
-lon el
-ci ble</w>
-wr ite
-jen nie</w>
-sant ac
-ĸ ï¸ı</w>
-str ato
-singapo re
-sop rano</w>
-kri sten
-cheer ful</w>
-flee twood</w>
-fa iri
-m eli
-wa st
-tur nt</w>
-sfor sale</w>
-sc rolling</w>
-angel ina</w>
-ren dition</w>
-jeric ho</w>
-nick y
-or b
-fla vo
-patri ot
-ash eville</w>
-sick ness</w>
-re fund</w>
-aggre ssion</w>
-b pl</w>
-ãĥ ĥ
-elu sive</w>
-thi story</w>
-hang er</w>
-bu ffs</w>
-vil las</w>
-at kinson</w>
-sp h
-ja it
-decl ined</w>
-wo k</w>
-supre macy</w>
-oo tball</w>
-ey ang</w>
-ðŁİ ĵ
-s ford</w>
-ath i</w>
-consu me</w>
-road ster</w>
-e so</w>
-u pro
-reci pe
-au f</w>
-uc i</w>
-ar on</w>
-oo oh</w>
-cs go</w>
-re ich</w>
-mc d</w>
-min ute
-ladi es
-pun k
-rut gers</w>
-mee k</w>
-ariz on
-ta j
-land lord</w>
-de gra
-autu mn
-lyn x</w>
-us f</w>
-b hi
-fairy tale</w>
-dongha e</w>
-bet sy</w>
-explo ded</w>
-chen nai
-op a</w>
-pro tag
-br ant
-ðŁĵ °:</w>
-g f
-pal li
-ðŁı¼ âĢįâĻĢï¸ı</w>
-su t</w>
-ill ini</w>
-colum nist</w>
-shir tless</w>
-de centr
-sear ched</w>
-ec or
-bu ggy</w>
-s ack
-ðŁĺĤ ðŁĺŃ
-de t
-ther i
-or naments</w>
-bring back
-to v</w>
-quarter finals</w>
-ic he
-con stra
-gi er</w>
-buchan an</w>
-vi x
-kay aking</w>
-mu stread</w>
-swal low</w>
-mel b</w>
-sc af
-op al</w>
-may oral</w>
-har at</w>
-ðŁ¦ ĭ</w>
-schedu les</w>
-id f</w>
-ha gue</w>
-ro z
-a ah</w>
-d mc</w>
-du plic
-ca che</w>
-orph an</w>
-frac ture</w>
-rec on</w>
-ch av
-bun nies</w>
-al ain</w>
-mustaf a</w>
-ðŁİ Ļ
-vac ations</w>
-dynam ite</w>
-tex ted</w>
-broad caster</w>
-ðŁĴ £</w>
-ste amed</w>
-rock er</w>
-di etary</w>
-luxury travel</w>
-inaugur ated</w>
-sa wards</w>
-vaugh n</w>
-lincoln shire</w>
-click ed</w>
-kra ja</w>
-f anc
-remo ves</w>
-layo ffs</w>
-mc far
-bre eds</w>
-win nie</w>
-jon ghyun</w>
-incen tive</w>
-vari ations</w>
-pat ton</w>
-atur day</w>
-persist ent</w>
-pr un
-pi ers</w>
-dal es</w>
-æ ĸ
-breast feeding</w>
-r ance</w>
-ta wa</w>
-Ĥ âĸ
-mur doch</w>
-cap tive</w>
-thi stle</w>
-nic a</w>
-commod ity</w>
-cou ldnt</w>
-board walk</w>
-graci ous</w>
-practiti oners</w>
-n gc</w>
-scru m</w>
-ner o</w>
-camoufla ge</w>
-col on</w>
-he i</w>
-phys icist</w>
-saturday morning</w>
-ten er</w>
-si won</w>
-colum ns</w>
-bru ne
-y vr</w>
-ba ir
-reti res</w>
-hal am
-cab er
-shaz am</w>
-min u
-cas cade</w>
-milk shake</w>
-gri d
-d ren
-vin cent
-so dium</w>
-plat ter</w>
-cheer leader</w>
-chen ko</w>
-y ak</w>
-elimin ated</w>
-ty po</w>
-y man</w>
-re think</w>
-âĿ Ĺ</w>
-ts ville</w>
-bernardo kath</w>
-ex tr
-ðŁĺģ ðŁĺģðŁĺģ</w>
-ta o
-re per
-mo ths</w>
-em powered</w>
-c iting</w>
-transpor ted</w>
-mon ks</w>
-san at
-cle ars</w>
-bachelore tte</w>
-camp bell
-racha el</w>
-har le
-hand ler</w>
-climb s</w>
-inter ference</w>
-rele ase
-sh and
-r bs</w>
-hr h</w>
-ãģ ª
-val le</w>
-r é
-sli me</w>
-w akes</w>
-chu bby</w>
-slo an</w>
-el ves</w>
-ath en
-attor neys</w>
-micro scope</w>
-ston er</w>
-sc aling</w>
-o be</w>
-c out
-se man
-mid week</w>
-bal sam
-ðŁĺį âĿ¤</w>
-ti ful</w>
-v ish</w>
-lo tta</w>
-ri pping</w>
-re mn
-ti re
-le ap
-ha vent</w>
-la by
-hi mach
-whisp ers</w>
-we in
-ðŁİ ¸
-wild flowers</w>
-se le
-u cc</w>
-li ability</w>
-az ine</w>
-sw ings</w>
-k ya</w>
-ta ir
-re main
-e do
-flo ps</w>
-poc ket
-grand ad</w>
-exam iner</w>
-gr is</w>
-ffe ct</w>
-ðŁijĬ ðŁı»</w>
-stud ded</w>
-heart beat</w>
-de acon</w>
-firm ly</w>
-infec tious</w>
-ste f
-out lines</w>
-le asing</w>
-cla ws</w>
-sen se
-tab s</w>
-hoo t</w>
-mo sul</w>
-spa wn</w>
-co a</w>
-hog warts</w>
-ve in</w>
-alban ia</w>
-manu el
-b ino
-vaux hall</w>
-scot land
-go bucks</w>
-mat ty</w>
-phy sio</w>
-tor ino</w>
-const able</w>
-investig ated</w>
-s lower</w>
-mistak en</w>
-bay er</w>
-wild fires</w>
-vo ic
-x on
-time to
-chas sis</w>
-bar ric
-pi on</w>
-bald head</w>
-woo k</w>
-regi str
-dra fts</w>
-b hs</w>
-li gue</w>
-l ick
-staf fordshire</w>
-baf ta</w>
-dar ry
-je anne</w>
-ven ding</w>
-cor p
-⼠³ï¸ı</w>
-kid dos</w>
-fen way</w>
-ca o</w>
-west bound</w>
-ðŁĺ Ļ</w>
-dv r</w>
-quick er</w>
-bla h</w>
-goo die</w>
-ðŁĴĭ ðŁĴĭ</w>
-vo x
-esp er
-fac ade</w>
-cor relation</w>
-red bull</w>
-rou p</w>
-decl ining</w>
-chi ve</w>
-mc gee</w>
-tur o</w>
-in der</w>
-f eller</w>
-fu g
-il ysm</w>
-mar di</w>
-peshaw ar</w>
-ki eran</w>
-ine ma</w>
-meat balls</w>
-pe ck</w>
-depre ssing</w>
-sen sing</w>
-gi z
-dd ington</w>
-spring watch</w>
-ro aming</w>
-yellow stone</w>
-horse shoe</w>
-am man</w>
-week day</w>
-ol or</w>
-ðŁ¥ °
-boo sts</w>
-spr int
-scar ves</w>
-je e
-bee tro
-cl an
-all the
-ìĦ ¸ë
-enlighten ment</w>
-ado be
-re generation</w>
-? @</w>
-cont ag
-yach ts</w>
-to u</w>
-mor a</w>
-en voy</w>
-r ani
-go li
-dhanush kraja</w>
-wood working</w>
-streng ths</w>
-se di
-disc s</w>
-ar ina</w>
-sc on</w>
-lit e
-ano ther
-ðŁ¥ Ĭ</w>
-ye men
-gu ern
-sav vy</w>
-lo yed</w>
-biom ed
-heart break</w>
-comra des</w>
-milli e</w>
-pat ch
-un f
-jar vis</w>
-bl aming</w>
-commemor ation</w>
-ge y</w>
-å ¥
-cardio vascular</w>
-alig ned</w>
-docu ment
-. ?</w>
-aesthe tics</w>
-em u</w>
-the irs</w>
-le h</w>
-ps ic
-si f</w>
-pl ateau</w>
-ex pend
-domin ating</w>
-rob es</w>
-mauriti us</w>
-excep tionally</w>
-hom er
-discover ies</w>
-bra un</w>
-ten nant</w>
-insul in</w>
-ðŁİ ®</w>
-car bs</w>
-te as</w>
-? !"</w>
-zi e
-franco is</w>
-brow sing</w>
-th ol
-cla rence</w>
-hel per</w>
-ob tained</w>
-cas sie</w>
-le es
-! ,</w>
-pome gran
-hu bs</w>
-presti ge</w>
-] [</w>
-mach er</w>
-bott led</w>
-pun ch
-pi pe
-o ch
-gall ons</w>
-deliver ies</w>
-u ra
-un day</w>
-mon de</w>
-depic ts</w>
-re gency</w>
-outra geous</w>
-khal ed</w>
-car o</w>
-he arti
-za g</w>
-develop mental</w>
-over coming</w>
-stati stical</w>
-flavo red</w>
-for ds</w>
-cre atives</w>
-lau rence</w>
-di as</w>
-sun screen</w>
-in ked</w>
-pre acher</w>
-n ul
-impac ting</w>
-auti stic</w>
-âļ Ķï¸ı</w>
-o ss
-pel icans</w>
-cele ste</w>
-v b
-ru mp</w>
-mc gra
-fair fax</w>
-hu mor
-bbc news</w>
-row ling</w>
-cal der
-seam less</w>
-ag ne
-p ti
-mix ed
-t shirts</w>
-mer ci</w>
-b tob</w>
-women instem</w>
-genealo gy</w>
-pre ven
-l our
-cra dle</w>
-gi use
-Ð ¾</w>
-chron o
-fair ness</w>
-chocol ate
-tor y
-as da</w>
-pre scott</w>
-stret ched</w>
-al man
-u il</w>
-re charge</w>
-in tre
-ob st
-hosp ital
-hay ward</w>
-teneri fe</w>
-fried man</w>
-vap ing</w>
-confe ssions</w>
-ye ah
-bal li
-luck now</w>
-cor pse</w>
-sculp tor</w>
-amp ton
-t pp</w>
-indic ates</w>
-sur plus</w>
-tru man</w>
-ðĿ Ļ
-sin ha</w>
-in vo
-sovere ign
-ke v</w>
-establi shing</w>
-engra ved</w>
-assu ming</w>
-ðŁı ģ
-sou za</w>
-fab i
-ton ed</w>
-oun ge</w>
-del oit
-dow ney</w>
-no ble
-om or
-car tridge</w>
-ðŁı IJ</w>
-u hur
-hol loway</w>
-succe sses</w>
-r sa</w>
-âĦ ¢
-ma zz
-tw d
-disc ourse</w>
-. <</w>
-y at
-satis fy</w>
-com pri
-ठ¹</w>
-graph ite</w>
-disser tation</w>
-ar ter
-í Ķ
-b ally</w>
-zom bi
-ly ons</w>
-a ic
-u bc</w>
-pra da</w>
-e il
-da x</w>
-cla i
-grand daughter</w>
-extravag anza</w>
-chall enge
-ðŁ¤ ŀ
-po ver</w>
-primar ily</w>
-dad dy
-man a
-bi kers</w>
-inqui ries</w>
-da un
-fel ine</w>
-gener ative</w>
-he f
-benef iting</w>
-lind sey
-pol ka</w>
-demonstr ated</w>
-al le</w>
-rand y
-o su
-low key</w>
-weir dest</w>
-red bull
-our y</w>
-n ous</w>
-wood stock</w>
-cre denti
-nic er</w>
-g ado</w>
-aly ss
-ap h</w>
-prepa redness</w>
-station ary</w>
-incorpor ated</w>
-dy er</w>
-sarato ga</w>
-cele sti
-: "
-antibio tics</w>
-or gs</w>
-inde fin
-ap ron</w>
-и Ð
-fif teen</w>
-no f
-ðŁĶ Ŀ</w>
-ph x</w>
-te ga</w>
-m z
-organiz ational</w>
-on air</w>
-band ung</w>
-pleas ures</w>
-mor i</w>
-secre tari
-rac coon</w>
-ca shi
-pil ates</w>
-k on</w>
-geof frey</w>
-la o</w>
-kam p</w>
-depart ments</w>
-back packing</w>
-an am
-Ã «
-crack down</w>
-aun ty</w>
-on do</w>
-li zzie</w>
-ph ers</w>
-cu n</w>
-ðŁĩ ±
-k pop
-pu t
-inten tional</w>
-connol ly</w>
-bar clays</w>
-hs fb</w>
-swin don</w>
-u ku
-s ally
-a int
-âľ ħ
-pen ang</w>
-up lifting</w>
-epile psy</w>
-inter ro
-bun gal
-go ku</w>
-blue berries</w>
-ठ¦</w>
-u ssia</w>
-sil ky</w>
-mou red</w>
-i stic</w>
-bri efs</w>
-me ats</w>
-go b
-ch aser</w>
-state wide</w>
-pra sad</w>
-gl itch</w>
-ar in
-ban ff</w>
-memb er
-ðŁĺŃ âĿ¤ï¸ı</w>
-lo ving
-hall a</w>
-ภ¡</w>
-smo kers</w>
-yak u
-scicom m</w>
-physi o
-sw ol
-lem ons</w>
-gel ato</w>
-ch ool</w>
-capit als</w>
-ki stan</w>
-ti ghts</w>
-spi kes</w>
-trav ellers</w>
-ik lan</w>
-commissi oning</w>
-ar ine</w>
-emabiggest fans</w>
-empha sis</w>
-front line</w>
-pad dock</w>
-destruc tive</w>
-ba ha
-l inger</w>
-je wish
-shet land</w>
-mc gin
-mon key
-ko z
-s one</w>
-raj ini
-te h</w>
-y en
-c vs</w>
-masqu er
-gir ly</w>
-we sle
-was nt</w>
-bro dy</w>
-termin ator</w>
-gil le
-mag gi
-bir die</w>
-jeopar dy</w>
-cu bic</w>
-vm ware</w>
-intric ate</w>
-an up
-to pia</w>
-east on</w>
-sab res</w>
-investig ates</w>
-bu sting</w>
-bil ingual</w>
-valent ino</w>
-in format
-fer re
-advent ur
-hydr ate</w>
-for sy
-az iz</w>
-san to
-e de
-whist ler</w>
-continu ously</w>
-d ham
-un used</w>
-ji had</w>
-addic tive</w>
-vi dy
-do b
-i do</w>
-fi ed
-ni versary</w>
-n one
-fu er
-ðŁĺį ðŁĺĺ
-coven ant</w>
-prin table</w>
-immac ulate</w>
-o em</w>
-cl t
-serv ants</w>
-consu med</w>
-un released</w>
-sc um</w>
-pack aged</w>
-me re
-ìĦ¸ë ¸
-to by
-ta f
-spo ons</w>
-me al
-f ball</w>
-fair field</w>
-jan et
-silver stone</w>
-dart mouth</w>
-follow me</w>
-voy ager</w>
-kom bat</w>
-anni ver
-ene w
-mag dal
-ho ve</w>
-sa th
-grizz ly</w>
-car di</w>
-gart ner</w>
-sand y
-kan ye
-post ure</w>
-po ign
-im pulse</w>
-radio logy</w>
-horiz ons</w>
-si am
-aish war
-= =></w>
-no che</w>
-tr is</w>
-el yn
-com me</w>
-du i</w>
-ce c
-councill ors</w>
-cudd ling</w>
-creep ing</w>
-loc ke</w>
-manag es</w>
-trans ferred</w>
-ne cks</w>
-di er
-dan o</w>
-v ick</w>
-lun ches</w>
-d he
-en sures</w>
-cri ss</w>
-ul ster
-bann on</w>
-cont enders</w>
-sp am
-sweet ness</w>
-med al
-hon duras</w>
-arc tic
-ultra sound</w>
-in fr
-disco vers</w>
-ei ffel</w>
-ca sters</w>
-ru ben</w>
-du st
-awe ed</w>
-atri um</w>
-lest we
-se ared</w>
-ðŁĵº :</w>
-ty ne</w>
-ex changes</w>
-little mix</w>
-l le</w>
-astron auts</w>
-hersh ey</w>
-work day</w>
-kno b</w>
-so v</w>
-re signs</w>
-today show</w>
-der man</w>
-an th</w>
-af c
-ta ster</w>
-sw oo
-sa eed</w>
-per ing</w>
-narrow ly</w>
-rn li</w>
-best buy</w>
-panas onic</w>
-obst acle</w>
-farmer s
-ðŁİ Ļ</w>
-pa wan
-ki est</w>
-ang ers</w>
-absur d</w>
-oh my
-sin o</w>
-pist achi
-sp ice
-giu li
-prime time</w>
-ko w
-k ens</w>
-ex agger
-! ?!</w>
-u ba</w>
-midd les
-ju dd</w>
-e jec
-slam med</w>
-pen sions</w>
-of a</w>
-re create</w>
-b hp</w>
-xx l</w>
-liver pool
-thre sh
-pur ity</w>
-ni eu
-hol ics</w>
-wr ath</w>
-ra do</w>
-gli o</w>
-am ma</w>
-dile mma</w>
-cr u</w>
-lets go</w>
-.... @</w>
-âĿ ĵ</w>
-sugge sting</w>
-tru mps</w>
-hor us</w>
-f v
-ic om</w>
-refer ring</w>
-predic tive</w>
-tar ts</w>
-ge tte</w>
-so ck
-glo ssy</w>
-pin ky</w>
-al ec
-thy me</w>
-ou ra
-thero ad</w>
-pe tr
-cr am
-p fi
-dv n</w>
-me ier</w>
-incen tives</w>
-tun nels</w>
-mobi l</w>
-rec ap
-extra s</w>
-upri ght</w>
-rev amp</w>
-per severance</w>
-, -</w>
-ot p</w>
-mir ror
-ar wx</w>
-ger ry
-ma her</w>
-g or</w>
-hom epage</w>
-am is</w>
-ag ra</w>
-made le
-best friend
-sirius xm</w>
-bun dles</w>
-admir ing</w>
-t dsb</w>
-ðŁį ģ
-ch as</w>
-slow ing</w>
-ro h</w>
-wall papers</w>
-âĢ¦ /</w>
-tek ken</w>
-gang s</w>
-tal a</w>
-lind say
-shou l
-line backer</w>
-tool kit</w>
-ur anium</w>
-caly p
-ab rams</w>
-mat thi
-ðŁı ¿
-hon ourable</w>
-da yo
-ver sail
-tan k
-st c</w>
-fr itz</w>
-spl end
-pat ag
-anno yed</w>
-on day</w>
-devast ated</w>
-chattanoo ga</w>
-national ism</w>
-mas sey</w>
-jen n</w>
-tail or</w>
-dev gn</w>
-org ans</w>
-zu cchini</w>
-on fox</w>
-sat ire</w>
-wex ford</w>
-dis grace</w>
-no to
-vol ta
-âĿ¤ï¸ıâĿ¤ï¸ı âĿ¤ï¸ıâĿ¤ï¸ı</w>
-à ¶
-home owners</w>
-poin ter</w>
-m cr
-au sten</w>
-day sto
-mo ons</w>
-pal ma</w>
-gra zing</w>
-e so
-influen cers</w>
-shahid kapoor</w>
-compli ant</w>
-measure ments</w>
-develop s</w>
-y d
-par l</w>
-p vt</w>
-rand olph</w>
-tor tured</w>
-ger ald
-eli as</w>
-deepi kap
-war mup</w>
-hick ory</w>
-g ap
-co ffin</w>
-am our</w>
-re neg
-moun ting</w>
-seven s</w>
-ig le
-hi er</w>
-dec ad
-tri ght</w>
-esc apes</w>
-wer ner</w>
-t fl</w>
-ful filled</w>
-ni ger</w>
-sour dough</w>
-re aper</w>
-choo ses</w>
-spin ner</w>
-week nd</w>
-fil tered</w>
-sh uk
-kat i</w>
-old ham</w>
-open source</w>
-kh anna</w>
-at elier</w>
-conne c
-opho bic</w>
-gla s
-complic ations</w>
-ar son</w>
-counc ils</w>
-sm ol
-as sy
-lur king</w>
-ling ui
-han ks</w>
-e in
-Ù ħ</w>
-ru gs</w>
-n guyen</w>
-nou veau</w>
-men ace</w>
-le v</w>
-alad din</w>
-ru ining</w>
-round about</w>
-k m
-con or
-shoo ps</w>
-may day</w>
-traum atic</w>
-prab has</w>
-ka iser</w>
-k ita</w>
-rou ter</w>
-pe dro
-re tar
-stun ner</w>
-spani sh
-distur bed</w>
-acade my
-e learning</w>
-wit ty</w>
-sen g</w>
-fer al</w>
-av y</w>
-sta b</w>
-ke aton</w>
-ur du</w>
-ko to</w>
-hu i</w>
-coo ke</w>
-ari an
-the personal
-u ma
-se ap
-a sting</w>
-rhetor ic</w>
-hand writing</w>
-munici pality</w>
-consor tium</w>
-ðŁIJ Ł</w>
-glasgo w
-ra ya</w>
-eli za</w>
-polym er</w>
-bro th</w>
-prac ti
-correspon dent</w>
-addic ts</w>
-gay le</w>
-ail ing</w>
-o fe
-p li
-hear tw
-st itch
-sight ings</w>
-prie sts</w>
-sam o
-slo th</w>
-good wood</w>
-roc co</w>
-sab c</w>
-summ it
-l ace
-pres ley</w>
-itt en
-cin cy
-thepersonal network</w>
-s week</w>
-pe gas
-af con</w>
-regi stry</w>
-ci m</w>
-le th
-dic ap
-cand ice</w>
-flu ent</w>
-sm ack</w>
-pede stri
-al oud</w>
-car ac
-priyan kach
-p gh</w>
-ir ons</w>
-dol ce
-lat via</w>
-dece ased</w>
-thero ck</w>
-cla p
-cen e</w>
-fo am
-morris sey</w>
-gre t
-essenti ally</w>
-com cast</w>
-be agle</w>
-argu es</w>
-ing ed</w>
-- âĢ¦</w>
-sa g</w>
-ha san</w>
-ðŁĻ Ĩ
-ðŁį °</w>
-nh ra</w>
-kann ada</w>
-indic ators</w>
-on er
-bri xton</w>
-at as</w>
-screen play</w>
-sor ority</w>
-sha heed</w>
-he em</w>
-class mates</w>
-tain ment</w>
-es i</w>
-breast cancer</w>
-zucker berg</w>
-aur or
-en cia</w>
-ref ers</w>
-kae per
-vor tex</w>
-com part
-lym ph
-photograph ing</w>
-ste ff
-rest ling</w>
-par sley</w>
-mom ento</w>
-th man</w>
-lac king</w>
-du tt</w>
-ocu lus</w>
-fin o</w>
-fren zy</w>
-ra sc
-der n</w>
-dis missed</w>
-noo k</w>
-met gala</w>
-sh ill</w>
-rapha el</w>
-maver icks</w>
-exhib its</w>
-eag erly</w>
-c pa</w>
-amen ities</w>
-. âłĢ</w>
-exo dus</w>
-ern st</w>
-lit a</w>
-deal t</w>
-womens march</w>
-i ain</w>
-score board</w>
-campe ones</w>
-c en</w>
-ti ki</w>
-garri son</w>
-fidel ity</w>
-bra g</w>
-road map</w>
-psy chop
-lo e
-ble u</w>
-ðŁijĬ ðŁı¼</w>
-sau vi
-spr inger</w>
-temp tation</w>
-ru dolph</w>
-ac ura</w>
-wic z</w>
-parach ute</w>
-stro l
-len ny</w>
-zi k</w>
-dom s</w>
-nb af
-al pac
-vivi an</w>
-ro ve</w>
-pre et</w>
-perpe tu
-sna ke
-air soft</w>
-infl atable</w>
-prin ces</w>
-ati e</w>
-ffe y</w>
-pati ent
-m ire</w>
-chel le</w>
-sl ack</w>
-groo vy</w>
-# :</w>
-up loading</w>
-!!!!!!!! !!!!!!!!
-siem ens</w>
-provi sion</w>
-v fx</w>
-need y</w>
-f ats</w>
-to poli</w>
-bhu tto</w>
-sa thletics</w>
-alu ms</w>
-t winning</w>
-south western</w>
-adop ting</w>
-last night</w>
-man ne
-la ga</w>
-tw ell</w>
-ac ia</w>
--- --</w>
-eye wear</w>
-hur ley</w>
-fle e</w>
-sa ch
-pe cker</w>
-cost ly</w>
-is k</w>
-cr ates</w>
-polic y
-ero sion</w>
-in go
-wer k</w>
-ðŁIJ į</w>
-torto ise</w>
-therap ies</w>
-inter net
-chihuahu a</w>
-ri ps</w>
-fre i
-ed or
-tai ji</w>
-t fc</w>
-do d</w>
-demp sey</w>
-christ in
-chen g</w>
-hi ps</w>
-gra eme</w>
-com passionate</w>
-cavali ers</w>
-histor ic
-soul ful</w>
-crimin al
-ja c</w>
-vin ci</w>
-expi red</w>
-sur at</w>
-turi smo</w>
-k ona</w>
-se aweed</w>
-ber ts</w>
-le ica</w>
-expre ssing</w>
-a al</w>
-wor t</w>
-break fast
-her ring</w>
-am used</w>
-rhu barb</w>
-mar tian</w>
-cospla yer</w>
-y ash
-stri al</w>
-ra ul</w>
-refer ral</w>
-dw ts</w>
-j w
-ad ler</w>
-cur tains</w>
-gu r</w>
-val ence</w>
-tyr one</w>
-sw fc</w>
-coach ed</w>
-re born</w>
-diabe tic</w>
-cho ke</w>
-nor folk
-investig ative</w>
-ðŁĴ¯ ðŁĴ¯
-z id
-v mas</w>
-phi e</w>
-objec tives</w>
-âľ ĭ</w>
-over due</w>
-di vers
-mat su
-ðŁİŁ ï¸ı</w>
-casu alties</w>
-ภ§</w>
-al k
-stand ardi
-re alist</w>
-arti facts</w>
-pand or
-ke x
-in vin
-( !)</w>
-ine y</w>
-par aly
-mr t</w>
-fay e</w>
-the voice</w>
-on ga</w>
-de ed</w>
-skin ner</w>
-az wx</w>
-speci men</w>
-priyankach opra</w>
-nu evo</w>
-bar kley</w>
-toulou se</w>
-resu mes</w>
-football ers</w>
-cit i</w>
-fe tch</w>
-è re</w>
-lestwe forget</w>
-ðŁĻ ĭ</w>
-ch unk</w>
-dri fting</w>
-manipul ation</w>
-equ als</w>
-pu tt</w>
-ky ungsoo</w>
-âĿ¤ï¸ı #</w>
-ela stic</w>
-par ano
-fo y</w>
-do ping</w>
-cin cy</w>
-ss ler</w>
-interrup ted</w>
-al ay
-ado res</w>
-ame thy
-con voy</w>
-ãĢ ı</w>
-Ĭ ãģ
-black list</w>
-gener als</w>
-sa chin</w>
-bru shed</w>
-oun ces</w>
-non stop</w>
-illi ams</w>
-bt sarmy</w>
-u av</w>
-ru ff</w>
-bur ma</w>
-bi k
-defen ce
-schul tz</w>
-bo asts</w>
-lonel iness</w>
-go re
-trans forms</w>
-alum na</w>
-@ @</w>
-ra ppers</w>
-ne hru</w>
-car o
-himalay an</w>
-wearab les</w>
-ge h
-pepper mint</w>
-re development</w>
-flam ingo</w>
-cos by</w>
-big baldhead</w>
-ag ri</w>
-bare foot</w>
-sco pes</w>
-re gram</w>
-gh ana
-ðŁİ «</w>
-i heart
-sa die</w>
-carri e
-microbi al</w>
-ku ala</w>
-sk ater</w>
-quer que</w>
-âĻ ©
-gen res</w>
-reas oning</w>
-ch ased</w>
-as o
-sli pped</w>
-en can
-vam os</w>
-ker s
-ad verse</w>
-mo il</w>
-commod ities</w>
-with you</w>
-sil ent
-hy pe
-an de</w>
-am ination</w>
-whi spe
-lit z</w>
-âļ½ï¸ı âļ½ï¸ı
-ri ff</w>
-pp y
-lam bs</w>
-gan esh</w>
-ab sent</w>
-regu lator</w>
-marse ille</w>
-en roll</w>
-par cel</w>
-wa p</w>
-by rd</w>
-ðŁĩ Ń
-tu ber
-country music</w>
-par l
-contro llers</w>
-responsi bilities</w>
-we y
-ch ate
-montene gro</w>
-chic o</w>
-mil an
-l ms</w>
-tra inees</w>
-appropri ately</w>
-un certain</w>
-popp ies</w>
-ed sheeran</w>
-nutr itious</w>
-gar o</w>
-deut sch
-awe some
-ãĥ ¼</w>
-comfor tably</w>
-land marks</w>
-et i</w>
-re usable</w>
-daniel le
-ro sal
-co les</w>
-just ic
-c cs</w>
-f anny</w>
-ni m
-mc u</w>
-clin ch</w>
-at ene
-mer ge</w>
-im db</w>
-ang lo</w>
-uc cino</w>
-pan ini</w>
-an not
-bur berry</w>
-feat ure
-predic ting</w>
-fashioni sta</w>
-s ask</w>
-imag inary</w>
-mm o</w>
-south sudan</w>
-spe ar</w>
-hu bble</w>
-jo inthe
-coyo tes</w>
-sli go</w>
-ko dak</w>
-sit com</w>
-polaro id</w>
-roo ted</w>
-corru p
-ðŁĻĮ ðŁĻĮ</w>
-bris ban
-at z</w>
-ah l</w>
-re my</w>
-tal ent
-aval on</w>
-ra da</w>
-pau line</w>
-locom otive</w>
-go ons</w>
-ne mo</w>
-maser ati</w>
-ic u</w>
-stu tt
-histor ically</w>
-sm b</w>
-pres by
-avo id
-so oners</w>
-rhine stone</w>
-w ad</w>
-ri sing
-tro t</w>
-mo des</w>
-reg ent</w>
-optimi ze</w>
-re ece</w>
-sm u</w>
-ver ti
-newyork city</w>
-cor tez</w>
-ra c</w>
-in case</w>
-sin c</w>
-fiel ding</w>
-e tta</w>
-tiff any
-al monds</w>
-sad dle
-k rat
-mat ter
-g low
-star ving</w>
-gl o</w>
-cra ppy</w>
-sl ur
-st d</w>
-monit ors</w>
-recei pt</w>
-maymay entrata</w>
-mc il
-un is
-rain bows</w>
-cal dwell</w>
-pacqui ao</w>
-j op
-a fe
-hoo k
-es sen</w>
-wiz ard
-medi an</w>
-fla ws</w>
-com s</w>
-âĿ Ħ</w>
-ing h</w>
-ha ynes</w>
-anton io
-tem plates</w>
-ou ter
-na w</w>
-cardi gan</w>
-bel grade</w>
-ðŁĴ ī</w>
-hom o</w>
-a ise</w>
-ro pes</w>
-no ve
-what you
-tri gge
-concep tion</w>
-ad ukone</w>
-na di
-fri ars</w>
-sw er
-adju sted</w>
-hot line</w>
-san ity</w>
-kau r</w>
-down loading</w>
-c gi</w>
-ten or</w>
-eth nic
-app alach
-ภ¸</w>
-pa g</w>
-gol ds
-on set</w>
-investig ator</w>
-car tel</w>
-peace fully</w>
-jarre tt</w>
-cat alan</w>
-poli o</w>
-n um</w>
-fru stration</w>
-dhar ma</w>
-my life</w>
-âľĮ ðŁı»</w>
-aber deen
-mu sa</w>
-bin der</w>
-spark ly</w>
-fle eing</w>
-instin ct</w>
-co ping</w>
-domin ance</w>
-ill ers</w>
-er a
-u conn</w>
-lo oms</w>
-living ston</w>
-gal i</w>
-he s
-c ma
-bel a</w>
-se ley</w>
-mon k
-la ch
-mar x
-Â ´
-m erica</w>
-woman in
-es sex
-ra ina</w>
-jim i</w>
-nep tune</w>
-z ack
-chine se
-mart ins</w>
-chand elier</w>
-her n
-with us</w>
-ear l
-asph alt</w>
-modu les</w>
-st p</w>
-ul la</w>
-psychi atric</w>
-mile age</w>
-captiv ating</w>
-si der</w>
-men to</w>
-mor t</w>
-tran ce
-tal bot</w>
-ab by
-ì ĥ
-âľĮ ðŁı¼</w>
-j ak</w>
-daw n
-turn up</w>
-scre wed</w>
-fe ds</w>
-blue print</w>
-ðŁĴĸ ðŁĴĸ</w>
-har sh
-er os</w>
-insom nia</w>
-ban kers</w>
-ta emin</w>
-mis conduct</w>
-hu mber
-gi di</w>
-edu ardo</w>
-con a</w>
-musc ular</w>
-consu ming</w>
-ra sh</w>
-don nie</w>
-di pped</w>
-col lie</w>
-samu el
-melt down</w>
-ðŁĺįðŁĺį ðŁĺį
-me z
-exam ining</w>
-schwar tz</w>
-pri stine</w>
-ðŁIJ Ŀ
-ve it</w>
-ful filling</w>
-an esthe
-gue sses</w>
-dra ft
-som me</w>
-soli d
-pati onal</w>
-ho ped</w>
-evolu tionary</w>
-all er</w>
-enter tained</w>
-sli ps</w>
-lud wig</w>
-conclu des</w>
-sen sible</w>
-bon net</w>
-cra ze</w>
-tra s</w>
-haz ards</w>
-const antine</w>
-ed ics</w>
-star trek
-to c</w>
-occu pational</w>
-in cheon</w>
-deepikap adukone</w>
-pizz as</w>
-new comer</w>
-de part</w>
-oppre ssion</w>
-ebon y</w>
-foss ils</w>
-tro jan</w>
-el en
-ste aks</w>
-k hou</w>
-positi oning</w>
-ug by</w>
-red cross</w>
-ak h</w>
-dol ce</w>
-us mnt</w>
-pp en</w>
-dil ig
-ma vs</w>
-call er</w>
-cost ello</w>
-⼠Ħ
-dy n</w>
-thing s
-rhin os</w>
-a xi
-sar kar</w>
-con vocation</w>
-att ers</w>
-ss ss
-fun gus</w>
-eu gen
-russ o</w>
-squ at</w>
-w sb
-eli on</w>
-william sburg</w>
-s off</w>
-defici ency</w>
-be arer</w>
-o kin
-key stone</w>
-t wain</w>
-cal ming</w>
-break able</w>
-wa res</w>
-horser acing</w>
-com bs</w>
-bun ting</w>
-u it
-t land</w>
-ðŁĴĻðŁĴĻ ðŁĴĻ</w>
-ga stron
-sab ot
-ick ers</w>
-commissi oners</w>
-sen ate
-ii ot</w>
-ath ena</w>
-nit rogen</w>
-an tony</w>
-ero tic</w>
-di alo
-mis sou
-hypo cr
-âľ Ī</w>
-kaeper nick</w>
-can v
-d roo
-clevel and
-o sh
-mon sta</w>
-stefan o</w>
-^ )</w>
-sh ul
-po ison
-ha e
-commerci als</w>
-ma ul
-nit ro</w>
-co worker</w>
-alo e</w>
-vap or</w>
-t ents</w>
-russi an
-qu id</w>
-question able</w>
-mid get</w>
-po ker
-girl friends</w>
-sin the
-erit rea</w>
-ten ure</w>
-depos its</w>
-buc keyes</w>
-spot ter</w>
-theod ore</w>
-trin ity
-joaqu in</w>
-u cci</w>
-follow the
-caf c</w>
-mp a</w>
-ðŁIJ »
-plo tting</w>
-dom ino</w>
-ta ek
-sion ally</w>
-dicap rio</w>
-pa p</w>
-car mel
-ig er
-bt cc</w>
-beth le
-www bigbaldhead</w>
-foo die
-bagh dad</w>
-mason ry</w>
-off ended</w>
-à ·
-ภģ</w>
-sc ro
-vers es</w>
-ori ent</w>
-ar ches</w>
-pi yu
-know your
-gre e</w>
-ta kers</w>
-gu ard
-dish on
-bucket list</w>
-bha fc</w>
-war dly</w>
-ðŁİīðŁİ Ĭ</w>
-leigh ton</w>
-pe w</w>
-stra y
-assaul ted</w>
-in hal
-ly fe</w>
-amar keting</w>
-l x</w>
-kat z</w>
-ubun tu</w>
-me o</w>
-carto onist</w>
-turno ver</w>
-mi z</w>
-dis like</w>
-mul len</w>
-mo f
-bl and</w>
-hi des</w>
-emer ges</w>
-chori zo</w>
-truste e</w>
-ma hog
-lan sing</w>
-paralym pic</w>
-fa int</w>
-fa una</w>
-ch al</w>
-sn ar
-cat h</w>
-bent on</w>
-cast illo</w>
-sli ppery</w>
-apric ot</w>
-oec d</w>
-bar o</w>
-l z</w>
-he ming
-clow ns</w>
-co workers</w>
-peru vian</w>
-commu ters</w>
-y ell</w>
-ðŁļ ´
-under ing</w>
-v j</w>
-tt p</w>
-fli pk
-w ana</w>
-soc ent</w>
-Ĥâĸ Ĥâĸ
-ठĤ</w>
-oo sa</w>
-jag ger</w>
-di sm
-e less</w>
-d ham</w>
-cali f</w>
-a official</w>
-ec lip
-harro gate</w>
-gra pp
-com rade</w>
-n tr</w>
-concentr ate</w>
-thi ghs</w>
-bit coin
-bel arus</w>
-ë ĵ
-end uring</w>
-now watching</w>
-industri al
-pi p</w>
-ar on
-ar at</w>
-Â ®
-whit by</w>
-oooo ooo</w>
-sa ree</w>
-tic als</w>
-mis leading</w>
-yo on
-year s
-sle igh</w>
-roman ian</w>
-sciss ors</w>
-vam pires</w>
-ac up
-ab ba</w>
-th weeksary</w>
-cent ri
-fl ye
-u o
-c bi</w>
-bu ena</w>
-sin d</w>
-mar ino</w>
-bur r</w>
-re building</w>
-ठ²</w>
-anniver saire</w>
-ac ca</w>
-ðŁĴĢ ðŁĴĢ
-gett ing
-tu lips</w>
-wolf pack</w>
-âľį ï¸ı</w>
-more than
-ta kin</w>
-ðŁ¤ĺ ðŁı»</w>
-u be</w>
-mon ic
-dou bts</w>
-mo wer</w>
-co balt</w>
-don ne
-specul ation</w>
-argu ably</w>
-kak u</w>
-htt ps</w>
-prosecu tion</w>
-din ah</w>
-stam atic</w>
-disclo sed</w>
-bever ly
-fl wx</w>
-cra bs</w>
-extraordin aire</w>
-war mest</w>
-imper i
-o logists</w>
-trac es</w>
-par c</w>
-lake side</w>
-am r</w>
-ter i</w>
-hour ly</w>
-domin ation</w>
-ar row
-shrews bury</w>
-ance stry</w>
-wr angler</w>
-trigge red</w>
-pen sac
-roo ster</w>
-survi ves</w>
-a on
-bo ko</w>
-val or</w>
-love is
-la g
-pe y</w>
-fo cal</w>
-out laws</w>
-bl anc
-artic ho
-wit s</w>
-marsh all
-die go
-support small
-u ca</w>
-sa h
-je et</w>
-syn ago
-gover ning</w>
-ðŁĴ ¬</w>
-sal ads</w>
-cre ate
-miri am</w>
-cen sored</w>
-ami de</w>
-no u</w>
-z eta</w>
-allegi ance</w>
-* )</w>
-bl m</w>
-ric an</w>
-pa stors</w>
-oly mpus</w>
-blo c</w>
-whir l
-star ry</w>
-pr one</w>
-y k</w>
-p ne
-congratul ating</w>
-be v</w>
-so ber
-love island</w>
-sa ir</w>
-an ing</w>
-tutor ials</w>
-q e</w>
-lun d
-in ist</w>
-cle ver
-taxpay er</w>
-ali z
-wren ch</w>
-dd ling</w>
-cap ri</w>
-h pa</w>
-ðŁı» âĢįâĻĤï¸ı</w>
-na j
-o j
-futuri stic</w>
-jelly fish</w>
-ðŁĶ¥ðŁĶ¥ ðŁĶ¥ðŁĶ¥</w>
-cel ery</w>
-plan k</w>
-fil a</w>
-ne me
-un healthy</w>
-lec tions</w>
-ðŁ§ ¡
-rit chie</w>
-n ws</w>
-mi kha
-wonder woman</w>
-âĢ İ</w>
-hip stamatic</w>
-ka g</w>
-ðŁĴľðŁĴľ ðŁĴľ</w>
-poul try</w>
-mo w
-wor ds
-lo ff</w>
-ðŁ¤£ ðŁ¤£</w>
-relat able</w>
-re mixes</w>
-keny atta</w>
-ke m
-re signed</w>
-fo d
-stra igh
-j lo</w>
-hu tch
-box ers</w>
-colle en</w>
-mag s</w>
-instruc tional</w>
-ko l</w>
-attrac ts</w>
-pra g
-account ant</w>
-go ggles</w>
-br u</w>
-th ole</w>
-mar row</w>
-leu ke
-oc to
-pon ds</w>
-bubb ly</w>
-he ist</w>
-ìĹ ij
-im p</w>
-a har
-ha unt</w>
-hall mark
-psy ch
-kkkk kkkk
-col umb
-jump suit</w>
-cost co</w>
-si delines</w>
-ag gies</w>
-over turned</w>
-ni b</w>
-key chain</w>
-fu k</w>
-f af
-mi am
-assist ants</w>
-cy cled</w>
-ri der
-dam mit</w>
-red wings</w>
-mag es</w>
-kin s
-ì Ĥ
-ho d
-son t</w>
-carol ine
-" '</w>
-cu le</w>
-bra id</w>
-fel ony</w>
-ar ities</w>
-ruther ford</w>
-depic tion</w>
-isab elle</w>
-ro ach</w>
-k day</w>
-fifth harmony</w>
-em y
-li gam
-bari sta</w>
-albu querque</w>
-gro ss
-ðŁį º
-oo ks</w>
-ðŁij ¼</w>
-dun can
-try in</w>
-jag s</w>
-g ould</w>
-li tho
-âģ £
-а Ð
-sam my
-tun g</w>
-cas ser
-apo lo
-aaaa a</w>
-man g</w>
-as ics</w>
-sh en</w>
-p ye
-tur bul
-ss p</w>
-saint sfc</w>
-on lin
-n anny</w>
-he ster</w>
-do z</w>
-ภĶ
-th read
-ren ts</w>
-kh and</w>
-ðŁĴª ðŁı½</w>
-un conditional</w>
-rob son</w>
-car re
-ph on</w>
-sacrific ed</w>
-Â £
-auto s</w>
-par ker
-oc a</w>
-log in</w>
-kee gan</w>
-hard cover</w>
-dough nuts</w>
-ðŁĮ İ
-spit fire</w>
-refresh ments</w>
-saskat oon</w>
-commod ore</w>
-j f
-rub ber
-halam adrid</w>
-child care</w>
-stra da</w>
-io m</w>
-ri k
-dak ar</w>
-ther mom
-cro pped</w>
-gar u</w>
-ali k</w>
-ven i</w>
-i ft
-si ka</w>
-ritu als</w>
-z ul
-e ch</w>
-Â ©
-su dan
-l land
-i me</w>
-do cker</w>
-ì ¤
-fe ared</w>
-fa o</w>
-wal ter
-no g</w>
-mutu als</w>
-l h</w>
-ali gn</w>
-mon ia</w>
-concep tart</w>
-ðŁĻı ðŁı¼
-sco e</w>
-compet ence</w>
-sw ine</w>
-ly me</w>
-laun ch
-green er</w>
-abstract art</w>
-inqu is
-gran ada</w>
-ga elic</w>
-flu ff</w>
-d backs</w>
-grave yard</w>
-ba be
-acade mic
-adventur ous</w>
-joh ann</w>
-~ !</w>
-bi bi</w>
-| #</w>
-pl ings</w>
-gett y
-as b</w>
-âĿ¤ï¸ı @</w>
-staf f
-religi ons</w>
-bang or</w>
-world bookday</w>
-me gh
-de vin
-ash ore</w>
-meri dian</w>
-gi thub</w>
-qui z
-all stars</w>
-be stest</w>
-ir resi
-ack er
-do te</w>
-war rington</w>
-pol ly</w>
-newor leans</w>
-cr ou
-wi gs</w>
-che y</w>
-smithson ian</w>
-la sag
-de tour</w>
-bor is
-stra ps</w>
-mari ah
-inten tionally</w>
-ko h</w>
-ðŁį ¸</w>
-ssi an</w>
-mar issa</w>
-cor al
-episcop al</w>
-casu alty</w>
-tom o
-supply chain</w>
-sam p
-on go</w>
-ro o</w>
-cavi ar</w>
-p fw</w>
-clau dio</w>
-buff alo
-s ations</w>
-mat ty
-snap back</w>
-l ds</w>
-al arms</w>
-mat te
-âĺ Ķï¸ı</w>
-conditi oner</w>
-d ors</w>
-he x</w>
-fi zz</w>
-a stri
-sus sex
-secur ity
-qa eda</w>
-all star
-cocac ola</w>
-as one</w>
-cl icks</w>
-sc ans</w>
-mu te</w>
-he avier</w>
-ðŁİ §
-âĺ ŀ</w>
-lv l</w>
-book boost</w>
-youtu be
-fla shes</w>
-f jor
-c su</w>
-explo de</w>
-do dge
-cair n
-gonz ales</w>
-th ill</w>
-pel le
-hart ley</w>
-renew able
-re tin
-e stre
-costar ica</w>
-shipy ard</w>
-nc fc</w>
-pri ya</w>
-a ghan</w>
-an ath</w>
-plu gin</w>
-co rey
-re bound</w>
-or u</w>
-kat rin
-hor mone</w>
-gi m
-mahin dra</w>
-s sus</w>
-park land</w>
-har per
-fanta stic
-infer no</w>
-ep ilo
-wrest ling
-fe ct</w>
-c it</w>
-ac oun
-to ssed</w>
-monu mental</w>
-char tered</w>
-bu st
-pe tra</w>
-âĮ ļ
-wildflower hour</w>
-sweat ers</w>
-* .</w>
-bl er
-ate ch</w>
-go wan</w>
-demo graphic</w>
-bra l</w>
-suici de
-renov ations</w>
-vu el
-sin ister</w>
-ar mani</w>
-miso gy
-ph arrell</w>
-nap s</w>
-un iting</w>
-crusad ers</w>
-cor gi</w>
-insu red</w>
-than i</w>
-no or</w>
-g q</w>
-d ada</w>
-bicy cles</w>
-snu ggle</w>
-sch an
-ten berg</w>
-ss al
-fe mme</w>
-bo il</w>
-½ ï¸ı</w>
-re ap</w>
-occur ring</w>
-hus sein</w>
-divi d
-sto ke
-sh alom</w>
-na ia</w>
-o lic</w>
-frustr ating</w>
-Ù ĩ</w>
-ig s</w>
-gro ver</w>
-scen arios</w>
-n ds</w>
-bru tality</w>
-med alli
-bu on
-sas s</w>
-skate boarding</w>
-ony x</w>
-lor ry</w>
-ny u</w>
-gau tam</w>
-mm ings</w>
-gu g
-end i</w>
-lo thian</w>
-comm ando</w>
-chal k
-ph ora</w>
-asse ssing</w>
-ti gh
-crun chy</w>
-ad ay
-is l</w>
-ci ara</w>
-pilgri ms</w>
-kam al
-p to
-brit anni
-t ani
-sm c
-l ure</w>
-app store</w>
-ab y</w>
-golf ing</w>
-cl c</w>
-fa u</w>
-an as
-shu tting</w>
-regul ated</w>
-carn age</w>
-scow boys</w>
-all enge</w>
-c ma</w>
-humbold t</w>
-rel le</w>
-ku mb
-her i</w>
-refin ery</w>
-sound check</w>
-d wayne</w>
-bos nia</w>
-i sp
-the alth</w>
-anni v</w>
-relev ance</w>
-my a</w>
-bag gage</w>
-dre ad</w>
-s bc</w>
-th ed</w>
-bu h</w>
-hi jab</w>
-lo id</w>
-ke w</w>
-c te</w>
-respec t
-lovel ies</w>
-cu bes</w>
-celebr ate
-dir t
-sav ers</w>
-_ ,</w>
-gar ment</w>
-pulit zer</w>
-mas jid</w>
-beat port</w>
-al arts</w>
-encry ption</w>
-s ner</w>
-ple ads</w>
-found ry</w>
-sym metry</w>
-ru mi</w>
-birth place</w>
-scallo ps</w>
-supp le
-pivo tal</w>
-t ati
-no de
-so d</w>
-pro xim
-tr ics</w>
-col dest</w>
-bren t
-mand u</w>
-cla ir
-e ach
-and alu
-hi ddleston</w>
-ðŁIJ º</w>
-mel ts</w>
-v ance</w>
-pin n
-se ments</w>
-scre ened</w>
-sa chs</w>
-o bl
-ic ha
-âĺĺ ï¸ı</w>
-school ers</w>
-heal ed</w>
-lo gged</w>
-ðŁ¤ĺ ðŁı¼</w>
-ic us</w>
-bore dom</w>
-b ish</w>
-b ffs</w>
-tal king
-sure sh</w>
-hoo kem</w>
-de on
-de fl
-ei leen</w>
-ðŁį ķ
-women intech</w>
-ri sotto</w>
-rang er
-adverti se</w>
-ภģà¸
-tel ly</w>
-la go</w>
-dart moor</w>
-d ong</w>
-sk ates</w>
-lo go
-un ner</w>
-mail box</w>
-ma sala</w>
-lo oooo
-amethy st</w>
-che wing</w>
-c bb</w>
-australi ans</w>
-rc mp</w>
-game art</w>
-# ...</w>
-kor n</w>
-extre mism</w>
-fruit ful</w>
-anci ent
-pu bg</w>
-pol ite</w>
-wh it</w>
-mur als</w>
-m gr</w>
-line man</w>
-dav ao</w>
-ste ms</w>
-ten nis
-av age</w>
-tu pac</w>
-gigan tic</w>
-hs bc</w>
-auto biography</w>
-up the
-ี à¹Ī</w>
-re gal
-fig uring</w>
-ku l</w>
-mis sy</w>
-hoo p
-gra s
-for ums</w>
-back lash</w>
-abduc ted</w>
-p nw</w>
-min ic
-bu tt</w>
-bott oms</w>
-at on
-ven g</w>
-ðŁĮ ı</w>
-del aney</w>
-prab hu</w>
-fan club</w>
-over haul</w>
-health ye
-sy no
-aa f</w>
-ren amed</w>
-kim i</w>
-un cle
-man city</w>
-se u</w>
-qu anti
-este em</w>
-um in</w>
-en zo</w>
-mel vin</w>
-under go</w>
-j har
-far ah</w>
-coast ers</w>
-humph rey</w>
-mh z</w>
-children s
-^ .
-d hi
-disrup tive</w>
-integr ating</w>
-r nb</w>
-over sized</w>
-a ide
-ne au</w>
-docu mentation</w>
-ðŁijĢ ðŁijĢ</w>
-pal o</w>
-hear th
-ri yad
-pun ctu
-abc news</w>
-secu res</w>
-boy band</w>
-bir ch
-ju co</w>
-tra ff
-legislat ors</w>
-bay a</w>
-ãĤ ¯
-no ises</w>
-collec ts</w>
-s warm</w>
-k ner</w>
-bi shops</w>
-stur geon</w>
-snapp ing</w>
-mo l</w>
-fre aky</w>
-chair person</w>
-tro p</w>
-lyn ch
-car cin
-art sy</w>
-e sto
-cha i
-fl ur
-inv ali
-sau sages</w>
-im el
-j or</w>
-fun fact</w>
-wit ter</w>
-puni shed</w>
-ac ons</w>
-h ya</w>
-re versi
-em c</w>
-dif fu
-z x</w>
-sp aw
-cla d</w>
-d mit
-hol land
-fre sco</w>
-pay roll</w>
-ab undant</w>
-stu ffing</w>
-mor o</w>
-c ny</w>
-boy cott
-wend y
-ele ven
-pro voc
-pil ot
-tr x</w>
-be ad
-climate action</w>
-ri on
-assi e</w>
-ì ĸ
-o sm
-islam ic
-ho ar
-good reads</w>
-al ici
-afterno ons</w>
-spoke sman</w>
-jo lie</w>
-it as
-masc ara</w>
-âĻ© âĻ«</w>
-pre vail</w>
-beetro ot</w>
-lu jah</w>
-k li
-dod ger</w>
-Â »
-ru le
-l n
-scre am
-ho bart</w>
-col bert</w>
-r tc</w>
-er m</w>
-pat ro
-quo ting</w>
-s live</w>
-que st
-non fiction</w>
-semin ary</w>
-prosecu tors</w>
-ve st
-express way</w>
-g ge</w>
-nau tical</w>
-et f</w>
-ðŁİīðŁİ Ĭ
-dur ation</w>
-cha ired</w>
-the film</w>
-fab io</w>
-she h
-can o
-ðŁĴª ðŁı»
-with draw</w>
-! :)</w>
-cor pus</w>
-phen om
-yel p</w>
-la wn
-ent om
-snapp er</w>
-but te</w>
-pin ball</w>
-pro xy</w>
-libr e</w>
-alle vi
-n ada</w>
-gabri el
-fo wl</w>
-eure ka</w>
-daph ne</w>
-tu nes
-pun ched</w>
-wh ore</w>
-jo g</w>
-ren tial</w>
-man ners</w>
-o pe
-wh ufc</w>
-gu th
-revol t</w>
-sne aker
-philharmon ic</w>
-ho ste
-sovereign ty</w>
-ðŁĻıðŁĻı ðŁĻı</w>
-fish ing
-sci art</w>
-fe ta</w>
-i pp
-dump ing</w>
-kel own
-gir i</w>
-dig its</w>
-sal u
-san jay
-twee ters</w>
-sp as
-col chester</w>
-sc ab
-ma dd
-๠Ħà¸
-Ä ĩ</w>
-ged don</w>
-march for
-do p</w>
-maure en</w>
-un plugged</w>
-di do</w>
-fashion blogger</w>
-up a</w>
-mex ic
-tar y
-pol ye
-jame son</w>
-v t
-grin der</w>
-mad dy</w>
-consult ancy</w>
-¬ ë
-leagueof legends</w>
-ac cents</w>
-um ni</w>
-jane iro</w>
-tu ss
-h ens</w>
-ampli fier</w>
-to shi
-pret tier</w>
-pre vents</w>
-new town</w>
-red wood</w>
-vant age</w>
-ball ard</w>
-ar tof
-a she</w>
-a sion</w>
-lac ey</w>
-ap at
-gro ve
-ภĦ</w>
-rw and
-real tors</w>
-tra itor</w>
-bed ding</w>
-ö r
-zi on
-fla shing</w>
-cam pan
-boom er</w>
-secretari at</w>
-ab ol
-liti gation</w>
-cont amination</w>
-se dly</w>
-shred ded</w>
-in for
-do herty</w>
-bench mark</w>
-ro che</w>
-skate board</w>
-sho vel</w>
-i zz
-to pper</w>
-o ster
-laby rin
-autu m
-k ong
-hum mus</w>
-vi z</w>
-tech news</w>
-kla us</w>
-am using</w>
-socialmedi amarketing</w>
-i des</w>
-cast ell
-ste e
-underestim ate</w>
-cal ab
-pa ign</w>
-b illing</w>
-unanim ously</w>
-g mb</w>
-fly fishing</w>
-hath away</w>
-commerci al
-colour ing</w>
-skul ls</w>
-pivo t</w>
-te p</w>
-tb c</w>
-motor way</w>
-x press</w>
-construc tive</w>
-pu k</w>
-under lying</w>
-kir sten</w>
-mani ac</w>
-cha o</w>
-se ma</w>
-chiff on</w>
-ðŁijĮ ðŁı»
-ver ona</w>
-kom o</w>
-stan doff</w>
-wi ped</w>
-c ated</w>
-bla ir
-wor kin
-m sc
-bethle hem</w>
-swi pe</w>
-unexpe c
-pe es</w>
-pe tri
-orig ami</w>
-ðŁij ħ
-mex ico
-flav or
-ru dd</w>
-cannab is
-mar u</w>
-ri ddle</w>
-wor shi
-sil on</w>
-sch at</w>
-ap se</w>
-tang er
-bi ous</w>
-e er</w>
-questi oned</w>
-o zar
-dan k</w>
-angle sey</w>
-char an</w>
-bak u</w>
-compe ten
-re pri
-bat ter</w>
-sa xon</w>
-cal ves</w>
-leng ths</w>
-$ $$</w>
-âŀ ¡ï¸ı
-immer sion</w>
-ga unt
-car ry
-cy to
-b anda</w>
-shu tt
-experi ence
-el gin</w>
-mous se</w>
-ta z</w>
-ê µ
-in correct</w>
-en z</w>
-b ham
-mor on</w>
-so ver</w>
-ar un</w>
-ti pped</w>
-la ble</w>
-de arly</w>
-bau tista</w>
-í Ļ
-mor tal
-woo p</w>
-dt la</w>
-sho cks</w>
-dav os</w>
-ðŁĵ Ŀ
-swim wear</w>
-her man
-ðŁijĩ ðŁijĩ</w>
-z ir
-neglec ted</w>
-grac ed</w>
-campu ses</w>
-av s</w>
-ar ora</w>
-swach hb
-live pd</w>
-ac cra</w>
-enqui ries</w>
-shoo ters</w>
-kur t
-vancou ver
-brad ley
-gar da</w>
-g ü
-ol la</w>
-attrac ting</w>
-up ton</w>
-ne win
-lu mia</w>
-furn ace</w>
-ev ers</w>
-e on</w>
-sw a</w>
-roo kies</w>
-a oc</w>
-v ss</w>
-bris ket</w>
-tor ch
-yo da</w>
-heart land</w>
-tac o
-ph ony</w>
-food bank</w>
-ab bey
-bab ylon</w>
-u y
-gre ate
-expre sses</w>
-d andy</w>
-sc apes</w>
-survi vor
-ron d
-e ci
-ha vin</w>
-ab el
-chil dish</w>
-tor que</w>
-wav y</w>
-ur self</w>
-kanye west</w>
-year of
-ale stine</w>
-o brien</w>
-al fon
-sk ag
-kore an
-anchor age</w>
-val eri
-de w
-ðŁİ ¨
-land slide</w>
-car ole</w>
-christ en
-go phers</w>
-af i</w>
-priyan ka</w>
-q q
-power of
-it te</w>
-pc so</w>
-tw ol
-pr y
-intellec tu
-guer rero</w>
-pi les</w>
-wish list</w>
-w ren</w>
-time table</w>
-ë ı
-prodi gy</w>
-gibb ons</w>
-. /</w>
-ne ur</w>
-anz ac</w>
-mur ray
-vie st</w>
-pla ster</w>
-la ir</w>
-art gallery</w>
-inter continental</w>
-g br</w>
-bell ator</w>
-nam joon</w>
-mam mals</w>
-am el
-y aw
-saras ota</w>
-cam ar
-bud ding</w>
-sum mari
-aco sta</w>
-la sh
-ey ou
-post graduate</w>
-instruc tors</w>
-ti g</w>
-const ant
-were wolf</w>
-ic os</w>
-cla s
-glen n
-bud ge
-ðŁĻ Ĥ
-er ta</w>
-sta ins</w>
-persecu tion</w>
-cumb ri
-o ch</w>
-syner gy</w>
-hu ang</w>
-scand in
-mid terms</w>
-comment ator</w>
-regar ded</w>
-perpe tual</w>
-bo iling</w>
-al p
-lan ge</w>
-sch le
-fac eli
-twee ta
-ri dden</w>
-ok toberfest</w>
-charlotte sville</w>
-ik lan
-jo u</w>
-ch atham</w>
-b sc</w>
-ðŁį ¦</w>
-stra uss</w>
-mel low</w>
-xx xx
-happy hour</w>
-re actor</w>
-ww er
-distr action</w>
-at orial</w>
-ðŁĴª ðŁı¼
-twin peaks</w>
-fay ette
-a or
-ko k
-bro om
-sy fy</w>
-ou se
-am ag
-Ø ·
-ubis oft</w>
-lu lu
-hall mark</w>
-stu art
-it ya</w>
-si deline</w>
-venge ance</w>
-re lu
-sex ism</w>
-boun cing</w>
-un ites</w>
-gu stav
-te ssa</w>
-stu mp</w>
-pro clamation</w>
-ima x</w>
-divid end</w>
-col by</w>
-ðŁį İ</w>
-play wright</w>
-un safe</w>
-co smo</w>
-ðŁĩ²ðŁĩ ½</w>
-cup board</w>
-constitu ents</w>
-ang lia</w>
-ram page</w>
-ðŁĺįðŁĺį ðŁĺįðŁĺįðŁĺį</w>
-than ked</w>
-take aways</w>
-shro ff</w>
-de bat
-kh ur
-conduc ts</w>
-format s</w>
-à ©
-port age</w>
-graph ers</w>
-u ten
-pre m
-mo ines</w>
-condem ns</w>
-s ous</w>
-l ps</w>
-f cs</w>
-deal ership</w>
-leuke mia</w>
-bure au
-ski d</w>
-guardi ola</w>
-ca ster
-thir d
-avoi ded</w>
-en cyclo
-c sr
-vi xx</w>
-analy zing</w>
-she ar</w>
-dulu th</w>
-shap iro</w>
-chan ting</w>
-stre sses</w>
-as be
-mil itia</w>
-ãĥ ª
-col lin</w>
-arsen e</w>
-sure sh
-teach ings</w>
-yi xing</w>
-sh ill
-nu des</w>
-sv u</w>
-clear water</w>
-war ped</w>
-pro life</w>
-artist son
-it u</w>
-versail les</w>
-galax y
-ax el</w>
-spring st</w>
-cal a</w>
-hu hu</w>
-sc u</w>
-commit ments</w>
-exe ter
-poign ant</w>
-mo tion
-conserv atory</w>
-row dy</w>
-rec alled</w>
-mu sk
-emb elli
-so the
-âĺ Ģ
-sto pper</w>
-sch ild</w>
-to pe
-el mo</w>
-zi el</w>
-j om
-barn sley</w>
-snow den</w>
-on tour</w>
-jour ney
-hills borough</w>
-par ole</w>
-w ts</w>
-mo ving
-ag ility</w>
-tiv o</w>
-ff ers</w>
-kindle unlimited</w>
-g wen
-ann an</w>
-ah mad
-tex tured</w>
-hepat itis</w>
-dra m</w>
-insi ders</w>
-tis sues</w>
-ãĥ Ħ</w>
-fc barcelona</w>
-cr atic</w>
-na acp</w>
-pe can</w>
-f gm</w>
-custom ize</w>
-concer t
-g sm</w>
-pe g
-p one</w>
-justin trudeau</w>
-super cars</w>
-happy holidays</w>
-bu lar</w>
-ado x</w>
-lap tops</w>
-digital health</w>
-destin ation
-gradu ally</w>
-áĥ ¦</w>
-popp y
-ss l</w>
-inhi bit
-star light</w>
-of fro
-glo omy</w>
-x per
-hal der</w>
-im plants</w>
-le to</w>
-hass el
-a as</w>
-un told</w>
-en ci
-liber ia</w>
-or an
-con tests</w>
-il ah</w>
-sma g</w>
-sc out
-mari anne</w>
-cr yo
-schedu ling</w>
-lo s
-kan e
-stutt gart</w>
-ne se</w>
-law rence
-da in
-pho tom
-car ou
-ภ£
-g wy
-national dogday</w>
-roa sting</w>
-band camp</w>
-kentu cky
-stret ches</w>
-ke rel</w>
-ca she
-ãĤ ¸
-sta x</w>
-tran si
-dog gie</w>
-at ric
-hal le</w>
-ci vic
-brow ning</w>
-lein ster</w>
-cat day</w>
-high land
-joy ous</w>
-in cumb
-or lando
-ro mo</w>
-col ton</w>
-del ta
-car ab
-ro tc</w>
-aster oid</w>
-goose bumps</w>
-mo logy</w>
-yo ko</w>
-an ds</w>
-tomor rows</w>
-red carpet</w>
-sm p</w>
-ca sio</w>
-ðŁ¤£ðŁ¤£ ðŁ¤£</w>
-se au</w>
-rejec tion</w>
-rot ating</w>
-bi partisan</w>
-th un
-mat i</w>
-bon i
-ol l
-ener gye
-do it
-l j</w>
-mother hood</w>
-lou ise
-neck laces</w>
-el ite
-ni x</w>
-l cs</w>
-en v
-gl u</w>
-le sh</w>
-cran k</w>
-su sie</w>
-m clau
-so tu</w>
-crow ley</w>
-rat ri</w>
-use d
-bre ton</w>
-alfre do</w>
-ye o
-travel pics</w>
-ti pp
-elli son</w>
-sax ophone</w>
-me red</w>
-heu ghan</w>
-ta ine</w>
-f es</w>
-vi ro
-suppo sedly</w>
-i as
-dige stive</w>
-y le
-li zzy</w>
-wildlife photography</w>
-bri anna</w>
-west field</w>
-ra ined</w>
-am her
-ðŁĺĦ ðŁĺĦ</w>
-distribu te</w>
-bott om
-pre serving</w>
-oil and
-craf ty</w>
-de scen
-col ling
-shakespeare sunday</w>
-r wc</w>
-ang led</w>
-ci an</w>
-t ations</w>
-mon tage</w>
-me yers</w>
-france sca</w>
-ðŁĮ ·
-wi ggins</w>
-san ford</w>
-volunte er
-car ra
-bar k
-vari ed</w>
-pl in</w>
-am u</w>
-kap il
-rock ers</w>
-qu ind
-br ane</w>
-in mate</w>
-ent al
-impro vis
-michi gan
-re tweeting</w>
-progre ssing</w>
-mercedes benz</w>
-smo ker</w>
-physi ology</w>
-dor ado</w>
-watt pad</w>
-h wa</w>
-sr bachchan</w>
-w ga</w>
-vol atility</w>
-hi re
-ac ap
-wn ba</w>
-hein z</w>
-stit ches</w>
-kidnapp ing</w>
-bur ys</w>
-lim b</w>
-f itters</w>
-thumb nail</w>
-ton e
-mir and
-desi rable</w>
-ad dison</w>
-tar an
-tamil nadu</w>
-spec tator</w>
-soci ology</w>
-amit shah</w>
-remo tely</w>
-âĻ ¦
-ham id</w>
-r ds</w>
-g lee
-smooth ly</w>
-sch ro
-er c</w>
-lali ga</w>
-he als</w>
-us f
-ni shi
-d hu
-un il
-h le</w>
-tro mb
-bhu tan</w>
-pilip inas</w>
-se ung
-whit man</w>
-te y</w>
-min ce</w>
-snow boarding</w>
-re au</w>
-k ker</w>
-av o</w>
-zach ary</w>
-ran veer
-ti k</w>
-gover n</w>
-qu al</w>
-beck y
-anthropo logy</w>
-att en</w>
-grocer ies</w>
-de bit</w>
-war p</w>
-sil icon
-hawa ii
-ðŁĴ ħ</w>
-pomegran ate</w>
-pe er
-orang es</w>
-people schoice</w>
-end ure</w>
-ðŁĴĽ ðŁĴĽ
-ãĤ¹ ãĥ
-ac ial</w>
-a haha</w>
-stu k</w>
-imper ial
-bl ond</w>
-pow der
-kno ts</w>
-vin ce
-wood lands</w>
-den a</w>
-watch in</w>
-mat cha</w>
-ma hat
-galax ies</w>
-middles brough</w>
-k ö
-stre e</w>
-resc ues</w>
-wal do</w>
-lero y</w>
-desp ic
-real ities</w>
-tm nt</w>
-ha q</w>
-un o
-pe c
-bolly wood
-blin ds</w>
-design thinking</w>
-he ms
-and hra</w>
-ab sen
-fan s
-ste ch</w>
-shire hour</w>
-bla ine</w>
-shak ti</w>
-pu rely</w>
-ðŁı ı</w>
-tra fal
-ke ynes</w>
-gr ate
-to bias</w>
-spon taneous</w>
-satur ated</w>
-caval ry</w>
-pri sc
-ðŁĺ ij
-wh t</w>
-pas si
-~~ ~</w>
-vir at</w>
-patt inson</w>
-la o
-weir do</w>
-sym pathy</w>
-ju da
-occa sionally</w>
-cred ited</w>
-stat u
-es co
-hil ly</w>
-esc ape
-dischar ge</w>
-se er</w>
-may nard</w>
-sud bury</w>
-z lat
-or al
-we er</w>
-encoun tered</w>
-sm elling</w>
-over sight</w>
-ê ¸
-that cher</w>
-mack ay</w>
-you can
-fre ep
-freed oms</w>
-prophe cy</w>
-ho e
-ishq ba
-dra ke
-qu its</w>
-pel led</w>
-tur k</w>
-o vi
-wesle yan</w>
-new music
-leg g</w>
-ch eng
-h illi
-ay y</w>
-pan ties</w>
-ad versity</w>
-ad jac
-vaccin ation</w>
-ju ke
-ga c</w>
-exce ed</w>
-time sof
-sta ining</w>
-ep cot</w>
-v ital
-up ward</w>
-bethe sda</w>
-apar k</w>
-ma hi
-camp fire</w>
-enchan ting</w>
-rha pso
-h z</w>
-na ver</w>
-fa x
-vali dation</w>
-ac ad</w>
-ny r</w>
-as ym
-coordin ated</w>
-depar ted</w>
-all ery</w>
-var ies</w>
-spr ite</w>
-chap lin</w>
-ss occer</w>
-s wat
-bre t</w>
-relu ct
-tunes app</w>
-super star
-reminis cing</w>
-o co</w>
-home grown</w>
-dough nut</w>
-un canny</w>
-la pd</w>
-thyro id</w>
-! âĿ¤ï¸ı</w>
-botan ic</w>
-bre s</w>
-sp ade</w>
-i ste</w>
-echo es</w>
-du lil
-bur sting</w>
-qui ero</w>
-ðŁij İ</w>
-loy ola</w>
-amuse ment</w>
-ha ils</w>
-sleep y
-burgl ary</w>
-âľ ı
-ro gue
-cot land</w>
-mo ors</w>
-low er
-wic ked
-ðŁĶ Ĭ
-compet iti
-argent ine</w>
-yvon ne</w>
-karti keyan</w>
-ili ary</w>
-gat sby</w>
-precin ct</w>
-six ty</w>
-na ji
-cam s</w>
-practiti oner</w>
-ðŁĺ³ ðŁĺ³
-pu ne
-neg li
-juli en</w>
-inv aded</w>
-cali br
-cla m</w>
-duba i
-mu k</w>
-lan tic
-produc t
-fe dex</w>
-ï¸ı :</w>
-eu ra
-dari us</w>
-s ling</w>
-virtual reality</w>
-home stead</w>
-ðŁı³ï¸ıâĢį ðŁĮĪ</w>
-pac ed</w>
-in ha</w>
-pul mon
-la zy
-premi ering</w>
-ma stered</w>
-in he
-con gregation</w>
-ba jo</w>
-sport ing
-new jersey</w>
-hor ny</w>
-lma oo</w>
-leng thy</w>
-du t
-yo gh
-swe aring</w>
-philosoph ical</w>
-pap ua</w>
-in ski</w>
-know les</w>
-dy ke</w>
-âĢ ²</w>
-to ken
-mc guire</w>
-ri ot
-probab ility</w>
-mc con
-gro s</w>
-su mat
-c ite</w>
-da a</w>
-on da</w>
-mad dow</w>
-che w
-board games</w>
-spar ked</w>
-re claimed</w>
-ad hd</w>
-ny se</w>
-imwith her</w>
-equ inox</w>
-boo ths</w>
-balsam ic</w>
-ha zy</w>
-dor chester</w>
-ag os</w>
-se aw
-moder ator</w>
-seri ea</w>
-ander sen</w>
-pilgri m</w>
-âŃIJ âŃIJ
-itch en</w>
-hal li
-x ton
-nathan iel</w>
-mun ition</w>
-celesti al</w>
-ga f</w>
-zo om
-mark le</w>
-pen thouse</w>
-cal e</w>
-s fa</w>
-bar king</w>
-tu cket</w>
-em ery</w>
-cal orie</w>
-li que
-ad ar</w>
-mc nam
-tor tilla</w>
-wood pecker</w>
-mo town</w>
-bad ger
-ayr shire</w>
-scram ble</w>
-dd ay
-cra ziest</w>
-per rie</w>
-cho co</w>
-cast e</w>
-i ot
-wre cked</w>
-selec ting</w>
-uss r</w>
-gra ft</w>
-pun t</w>
-lab ou
-ir st</w>
-ba ek</w>
-Û Į</w>
-su ki</w>
-que u
-ach at</w>
-te ster</w>
-aug mented</w>
-wc vb</w>
-sin ks</w>
-ðŁĵ »
-ra ke</w>
-inter ne
-be cause
-belle vue</w>
-une arth
-light en</w>
-ðŁĺ £</w>
-turn around</w>
-labe led</w>
-unemp loyed</w>
-twitter kurds</w>
-le ia</w>
-h ye
-great er
-ðŁIJ İ</w>
-tim ed</w>
-i red
-e tt
-limit ations</w>
-cab e</w>
-s out</w>
-bee ch
-anni hil
-re trac
-yo ona</w>
-ang er
-den nis
-supp lying</w>
-di z</w>
-" (</w>
-sc ur
-gun man</w>
-su ho</w>
-sauvi gnon</w>
-ภ¥</w>
-wi ley</w>
-land on</w>
-choreo graphy</w>
-pre historic</w>
-ðŁı ĥ</w>
-var gas</w>
-assess ments</w>
-pinn acle</w>
-di i</w>
-chamber lain</w>
-ì Ī
-v p
-present ers</w>
-deut sche</w>
-sun shine
-sal utes</w>
-r one</w>
-bu siest</w>
-- .-</w>
-motor ists</w>
-hemi sphere</w>
-al wx</w>
-ps p</w>
-ow a</w>
-den ying</w>
-cho c
-gu tier
-han uk
-mus kete
-jait ley</w>
-se wage</w>
-t ame</w>
-thin kers</w>
-shi m</w>
-se quo
-pap ar
-middle east</w>
-k wa
-ke g</w>
-patag onia</w>
-no y</w>
-bar ça</w>
-take off</w>
-he a</w>
-à ¬
-n sc
-g dc</w>
-ðŁij Ī
-mou stache</w>
-mel ania</w>
-thr a</w>
-â¬Ĩ ï¸ı</w>
-pier ced</w>
-ze us</w>
-fon ts</w>
-ber a</w>
-it iner
-q atar
-contr ary</w>
-ire land
-i fy</w>
-ou los</w>
-commun al</w>
-fin s</w>
-un paid</w>
-pa a</w>
-ðŁijĩ ðŁı»</w>
-ri os</w>
-ou p</w>
-f iller</w>
-cafe teria</w>
-ภŃ</w>
-kas i</w>
-cali ber</w>
-z ulu</w>
-v sco</w>
-ts ford</w>
-dragon fly</w>
-smo kin</w>
-pi st</w>
-psycho logist</w>
-diplom at</w>
-we bs</w>
-buc cane
-à® ¾</w>
-motiv ational
-du ne
-ba e
-c fs</w>
-with out
-er on</w>
-i ac
-ate e</w>
-pen sion
-fra zier</w>
-en sis</w>
-sk is</w>
-par ting</w>
-ger y</w>
-territ ories</w>
-nach os</w>
-eni ght
-ever lasting</w>
-msd honi</w>
-tel e</w>
-sp un</w>
-po di
-sab ah</w>
-environ mentally</w>
-ce ase
-beau mont</w>
-mar ta</w>
-kel vin</w>
-ho ff
-sun il</w>
-n da</w>
-co b</w>
-sh ale</w>
-ree dus</w>
-un boxing</w>
-u bio</w>
-re opened</w>
-n all</w>
-capsu les</w>
-mar r</w>
-himalay as</w>
-swee ter</w>
-ja z</w>
-f mr</w>
-twee ter</w>
-dha ka</w>
-na u</w>
-de mi
-d fs</w>
-ta urus</w>
-fad ing</w>
-it utes</w>
-ci p
-over flow</w>
-jef frey
-don ny</w>
-car tunesapp</w>
-ðŁį ij</w>
-prefe cture</w>
-danc ed</w>
-c pt</w>
-ple asing</w>
-ital k</w>
-earth quakes</w>
-ul ation</w>
-hi o</w>
-ãĢ ĭ</w>
-ant an
-nutri ent</w>
-de ere</w>
-selec ts</w>
-enrich ment</w>
-r iti
-tram pol
-bl amed</w>
-j ia</w>
-contribu tors</w>
-chesa peake</w>
-pi geons</w>
-tribun al</w>
-mad uro</w>
-w su</w>
-ilo ve</w>
-effici ently</w>
-dar cy</w>
-war ms</w>
-ar ra
-ec u</w>
-ho wer</w>
-strugg led</w>
-rajini kanth</w>
-ðŁĺ¢ ðŁĺ¢
-hou sing
-str at</w>
-eli x
-disp ro
-raf fic</w>
-thi erry</w>
-na sty
-c fb</w>
-staf fing</w>
-al ma
-back ers</w>
-hen son</w>
-sky walker</w>
-reale state
-roo s</w>
-ness y</w>
-chan ce
-cair ns</w>
-c ci
-pe dal
-ly ft</w>
-cross word</w>
-wait er</w>
-only in
-kru ger</w>
-k ir</w>
-alej andro</w>
-car tier</w>
-car rera</w>
-re paired</w>
-ou at</w>
-un clear</w>
-un breakable</w>
-today in
-qu eries</w>
-jo dy</w>
-gen ital</w>
-win ner
-to l</w>
-kelown a</w>
-fascin ated</w>
-ãĥ ¬
-sris ri</w>
-squ ared</w>
-spr ung</w>
-negoti ate</w>
-priv ately</w>
-av en</w>
->> >>></w>
-g ical</w>
-gav in
-chester field</w>
-zu mba</w>
-or r</w>
-nat alia</w>
-impeach ment</w>
-mn l</w>
-car at</w>
-criti que</w>
-credi ble</w>
-trac y
-tan i</w>
-musi k</w>
-jig saw</w>
-gam bia</w>
-tol kien</w>
-fe u</w>
-as per
-sav ory</w>
-fo xx</w>
-f itt
-mar lon</w>
-l rt</w>
-v ell</w>
-p br</w>
-imprison ed</w>
-i om
-chu l</w>
-wind shield</w>
-kay e</w>
-ba a</w>
-chor d</w>
-s art</w>
-al gon
-minister ial</w>
-nat geo
-la zio</w>
-nor ms</w>
-ðŁijį ðŁijį
-lic king</w>
-fut bol</w>
-un sung</w>
-dalla scowboys</w>
-sh red</w>
-distur b
-dev ine</w>
-be ards</w>
-ch f</w>
-b day
-ro sso</w>
-ig or</w>
-ay i</w>
-si ren</w>
-k air
-sti les</w>
-ro f
-mag nets</w>
-un cover</w>
-mou se
-bang ing</w>
-si ghted</w>
-spe ople</w>
-impac t
-row land</w>
-kir a</w>
-environ ment
-love the
-p sis</w>
-mish ra</w>
-gl endale</w>
-ca jun</w>
-o che</w>
-de ception</w>
-sex ist</w>
-stra ws</w>
-s ga</w>
-buff er</w>
-apost le</w>
-sp l</w>
-pop up</w>
-ðŁļ Ĺ
-r g
-up er</w>
-ball in</w>
-i dy
-occa sional</w>
-national park</w>
-ðŁı Ĭ
-u an</w>
-innov ation
-ภ«
-te aparty</w>
-re tte</w>
-counter fe
-b ha</w>
-rec s</w>
-ig en</w>
-ðŁĮ IJ</w>
-humming bird</w>
-cu r</w>
-ha ven
-la zar
-pue blo</w>
-: :
-zi onist</w>
-op ath
-inver ness</w>
-promo ter</w>
-carto on
-cabine ts</w>
-mahog any</w>
-surve ying</w>
-r ational</w>
-feel ing
-testi fy</w>
-so w</w>
-oc on</w>
-ภ¢</w>
-ne el
-mar is</w>
-sol itary</w>
-che mo
-rad cliffe</w>
-sim ons</w>
-ros ary</w>
-new er</w>
-jo die</w>
-re tali
-pra wn</w>
-pad dy
-hen ge</w>
-k ala</w>
-im plant</w>
-at y</w>
-bren twood</w>
-par adox</w>
-ene z</w>
-re designed</w>
-p our
-wy d</w>
-al de
-௠ģ</w>
-sol d
-biomed ical</w>
-๠Ĥ
-tt tt</w>
-mat teo</w>
-ys er</w>
-new ton
-de bun
-ner dy</w>
-loo l</w>
-wo on</w>
-elisa beth</w>
-ec c</w>
-wh i</w>
-ach o</w>
-salv age</w>
-sal aries</w>
-qu ity</w>
-navig ating</w>
-oph thal
-con soles</w>
-re built</w>
-o pec</w>
-ast ers</w>
-sho red
-set list</w>
-kathr yn
-rhy mes</w>
-re visiting</w>
-ash ish</w>
-li ft
-re post
-sole il</w>
-âı ±</w>
-weal th
-sa at
-we c</w>
-king james</w>
-flipk art</w>
-field work</w>
-se gu
-mo dal</w>
-bu b</w>
-are rs</w>
-ðŁį Ĵ</w>
-clo oney</w>
-pad dington</w>
-necess ity</w>
-guth rie</w>
-pen te
-li mo</w>
-jo sie</w>
-ar tin
-en c</w>
-l hs</w>
-betra yal</w>
-info graphics</w>
-i er
-mo a</w>
-hear ings</w>
-bon jour</w>
-sym bolic</w>
-ag ro
-wed ges</w>
-krist ina</w>
-wild flower</w>
-athle tic
-photograph y
-pe sh
-ca hill</w>
-chi lean</w>
-gou l
-fi oren
-ðŁij ¶</w>
-z il</w>
-sk im
-bad oo</w>
-deli a</w>
-tre ble</w>
-n cc
-ðŁĩ¦ ðŁĩ
-a house</w>
-bul lock</w>
-sol itude</w>
-ا٠Ĩ</w>
-can cers</w>
-futureof work</w>
-hu tch</w>
-water shed</w>
-war mongers</w>
-sp illed</w>
-colom bo</w>
-mo th
-associ ations</w>
-weigh ed</w>
-global goals</w>
-not just
-christ i</w>
-tor g</w>
-swe ating</w>
-man eu
-clu sters</w>
-âĢ¼ï¸ı âĢ¼ï¸ı</w>
-ta ped</w>
-ul y
-tru sting</w>
-yu suf</w>
-te in</w>
-ra b</w>
-, ,,,</w>
-sin ai</w>
-audi ble</w>
-explic it</w>
-cro wns</w>
-sch iz
-at least</w>
-ðŁĹ £
-de bra</w>
-je suit</w>
-ene gger</w>
-z hen</w>
-one sie</w>
-i it</w>
-ss f</w>
-gur gaon</w>
-chak ra</w>
-bear cats</w>
-k ran
-k awa</w>
-reque sting</w>
-han over</w>
-g end
-sor os</w>
-mer cy
-lovel y
-do omed</w>
-tim my</w>
-ku z
-ul l
-ab ram
-sa ison</w>
-ãĥ «
-clean ers</w>
-re mo</w>
-circu its</w>
-bar red</w>
-o th
-mo ist</w>
-madele ine</w>
-gall o</w>
-u j
-per mits</w>
-hea viest</w>
-car ols</w>
-az te
-gior gio</w>
-flo ats</w>
-decl aring</w>
-us rc</w>
-min at</w>
-craf ts
-pri ma</w>
-conven i
-nickelo deon</w>
-danc ing
-ceremon ial</w>
-blo gg
-tw p</w>
-anglic an</w>
-she k</w>
-k nick
-( ((</w>
-hubb ard</w>
-harve y
-hit man</w>
-fen g</w>
-we some</w>
-for za
-s word
-op us</w>
-bro m</w>
-gi bility</w>
-z al</w>
-m unch</w>
-dance hall</w>
-gre edy</w>
-hd mi</w>
-re birth</w>
-ðŁĺĭ ðŁĺĭ</w>
-s world</w>
-figur ine</w>
-com post</w>
-k f
-engra ving</w>
-gior no</w>
-st ana</w>
-k man</w>
-ham ster</w>
-compos ers</w>
-aj e</w>
-func tionality</w>
-pol k</w>
-is ons</w>
-air planes</w>
-te se</w>
-hor rors</w>
-musc at</w>
-gi ven
-sp ence</w>
-ðŁĩ¸ ðŁĩ
-eli ot</w>
-ach illes</w>
-fre ck
-crypto currencies</w>
-sou ther
-hal o
-bor neo</w>
-polit ic
-hahahaha h</w>
-up state</w>
-si ena</w>
-obsc ure</w>
-hau sen</w>
-lloy d
-happy friday</w>
-motor bike</w>
-bon a</w>
-americ as
-hol s</w>
-- (</w>
-spor ty</w>
-un aware</w>
-reven ues</w>
-christop her
-bank sy</w>
-av an</w>
-ev apor
-com press
-eyel iner</w>
-to dos</w>
-buff y</w>
-renewable energy</w>
-ly rical</w>
-ar chan
-rapi st</w>
-fair trade</w>
-lma ooo</w>
-beat z</w>
-pro active</w>
-la pse</w>
-ir ical</w>
-revers al</w>
-po de
-mcin tyre</w>
-mac au</w>
-ãĥ ķãĤ
-nash grier</w>
-f sa</w>
-g all</w>
-çĶ Ł
-perpe tr
-il ya</w>
-configur ation</w>
-% ;</w>
-str ange
-rac i
-ภĩ</w>
-pic kups</w>
-kov sky</w>
-mam mal</w>
-w ps</w>
-g able</w>
-compar ative</w>
-z h
-save our
-da vey</w>
-on etsy</w>
-mu ssels</w>
-mis er
-cri stina</w>
-electr on</w>
-cra ve</w>
-lo ren</w>
-precipit ation</w>
-m z</w>
-ðŁį «</w>
-vin cen
-snow board</w>
-no ida</w>
-ah n</w>
-marin ated</w>
-g tr</w>
-town hall</w>
-min is
-bethe l</w>
-adv an
-su ra
-shi el
-fur ry
-ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ</w>
-lyn d
-so il
-sc ence</w>
-sen eca</w>
-shar jah</w>
-dick ens</w>
-credenti als</w>
-av ar
-per k</w>
-requ iring</w>
-pre fer
-j ian</w>
-de ca</w>
-r ach</w>
-ing for
-del e</w>
-be ep</w>
-ðŁĴ »
-cis ely</w>
-hu ddle</w>
-green sboro</w>
-haw king</w>
-ho ax</w>
-hang ar</w>
-ç ľ
-mis o</w>
-lo vin
-gre ta</w>
-ab ad
-logi e</w>
-at an</w>
-snow flake</w>
-mahe sh
-fear the
-al kal
-bobb lehead</w>
-ba hn</w>
-ju dged</w>
-fu tu
-feli x
-ðŁį ĵ</w>
-pi ke
-der iv
-notic es</w>
-au er</w>
-dis super</w>
-or da
-wi pes</w>
-am ino</w>
-stri kers</w>
-foo tb
-dram as</w>
-pun ching</w>
-score less</w>
-heming way</w>
-bi h</w>
-bal lad</w>
-chat ter
-am mo</w>
-kle in
-fabric ation</w>
-kari m</w>
-z end
-hi sto
-vol ta</w>
-rock y
-marke ter</w>
-xtre me</w>
-sequ encing</w>
-paradig m</w>
-cle ats</w>
-boom ing</w>
-âģł âģł</w>
-block ade</w>
-promp ts</w>
-yogh urt</w>
-pur pose
-nu r</w>
-regu late</w>
-nois y</w>
-ing rid</w>
-bird watching</w>
-bar tender</w>
-Ù ĥ
-wor dof
-cha otic</w>
-shor ty</w>
-el dest</w>
-z app
-onceupon atime</w>
-fl yo
-rit os</w>
-mike quind
-ðŁIJ ´</w>
-regi stering</w>
-. ]</w>
-ad ol
-gg gg</w>
-pur ge</w>
-kid lit</w>
-ar bor
-val ves</w>
-synago gue</w>
-o th</w>
-unanim ous</w>
-veri fication</w>
-dar rell</w>
-ãģ Ħ
-vander bilt</w>
-tape stry</w>
-pro sper</w>
-did dy</w>
-dra fting</w>
-de cep
-marqu is</w>
-st int</w>
-michael jackson</w>
-pee led</w>
-men us</w>
-bb b</w>
-sc are
-ema il
-wri gley</w>
-it is
-f ell
-some thin</w>
-bar ra</w>
-ed gar
-di pping</w>
-pu ddle</w>
-sla de</w>
-lear ner</w>
-jal en</w>
-ðŁ§ IJ</w>
-the daily
-mikequind azzi</w>
-ju x
-iq bal</w>
-mckin ney</w>
-ra iser</w>
-ef an
-dr one
-cat o</w>
-pic ket</w>
-cro we</w>
-l att
-uk o</w>
-giuse ppe</w>
-hin i</w>
-synthe si
-ponti fex</w>
-song writing</w>
-to d</w>
-swit ches</w>
-din ners</w>
-h q
-gabri elle</w>
-pensac ola</w>
-cir cle
-expo ses</w>
-ev s</w>
-riyad h</w>
-pro men
-o ck
-sa j
-cit ation</w>
-brew co</w>
-jo si
-ep aper</w>
-dri f
-point less</w>
-tang led</w>
-cri pp
-line ups</w>
-fairi es</w>
-daz e</w>
-mour n</w>
-bla dder</w>
-sal z
-bur undi</w>
-book mark</w>
-the people</w>
-sub sequ
-princi pal
-sk er</w>
-court ney
-a oki</w>
-rac ers</w>
-ad m</w>
-mom a</w>
-critical role
-hou n</w>
-shed ding</w>
-sa ka</w>
-ace ous</w>
-mck ay</w>
-hus bands</w>
-Â ½</w>
-me da</w>
-accu sations</w>
-ro sel
-nc is</w>
-witne ssing</w>
-or ama</w>
-go ds
-hil ton
-el man</w>
-ÃŃ n</w>
-meg ap
-cra ven</w>
-announ cer</w>
-crit eri
-sheffiel dissuper</w>
-milit ant</w>
-consu l</w>
-hoo ded</w>
-aby ss</w>
-b x</w>
-ma dam
-lo cu
-mary am
-manic ure</w>
-grat is</w>
-ac tresses</w>
-ros ario</w>
-this dayin
-king ly</w>
-gn ome</w>
-cel ine</w>
-r ous
-he el
-lil ac</w>
-vish al</w>
-ab h</w>
-thor ns</w>
-s ls</w>
-ne al
-construc ting</w>
-be ren
-s lang</w>
-ma ins</w>
-far ra
-sar ko
-pai ge
-gu iller
-l ala</w>
-ice berg</w>
-nou n</w>
-plann ers</w>
-u mmm</w>
-ou ses</w>
-ill ary</w>
-ma an</w>
-box ing
-zi pper</w>
-srin agar</w>
-migu el
-o str
-mp o</w>
-responsi bly</w>
-lan terns</w>
-appli ance</w>
-x b</w>
-gren ade</w>
-neglec t</w>
-dy sle
-ham mock</w>
-ne ctar</w>
-wit cher</w>
-r gv</w>
-di ence</w>
-ser bian</w>
-seed ed</w>
-cru z
-bi sh
-sp he
-e q</w>
-sky rim</w>
-alge bra</w>
-phil ately</w>
-bungal ow</w>
-ge off
-y ves</w>
-demand ed</w>
-consider ations</w>
-the vamp
-pawan kalyan</w>
-co ded</w>
-grit ty</w>
-erup tion</w>
-se infeld</w>
-uni denti
-ëĭ Ī
-wor m
-ac us</w>
-se ung</w>
-dun g</w>
-ro land
-su d</w>
-di visions</w>
-ab lanc
-shor test</w>
-j f</w>
-p oun
-plant based</w>
-be to</w>
-tough er</w>
-mc o</w>
-don et
-mark us</w>
-v fl</w>
-ðŁı ł</w>
-open ing
-co ward</w>
-caber net</w>
-o xi
-burle sque</w>
-sand ra
-su mo</w>
-consi st</w>
-tho t</w>
-cay man</w>
-motor ola</w>
-gutier rez</w>
-d slr</w>
-y w
-no bel
-nov ice</w>
-moms demand</w>
-grun ge</w>
-sp or</w>
-d cc</w>
-pre sses</w>
-sli st</w>
-allot ment</w>
-voc ational</w>
-ft c</w>
-pu ja</w>
-lo ven
-utt arak
-tan dem</w>
-sh ep
-come dians</w>
-anat om
-cant wait</w>
-healthye ating</w>
-west side</w>
-mar gins</w>
-chi ang</w>
-asbe stos</w>
-stupi dity</w>
-proble matic</w>
-fit bit</w>
-: $</w>
-ceil ings</w>
-shu a</w>
-protec tions</w>
-bio tic</w>
-beng ali</w>
-re sts</w>
-bien nale</w>
-tim o</w>
-cul min
-e minent</w>
-affe ction
-unbeliev ably</w>
-individu ally</w>
-canvas sing</w>
-wh itt
-nov asco
-chin son</w>
-h pe</w>
-go w</w>
-gloucester shire</w>
-pa o</w>
-thresh old</w>
-chev ron</w>
-s ine</w>
-we ther
-pp ie</w>
-aqu ino</w>
-antwer p</w>
-âĸ ¬
-po on
-inst af
-equ ine</w>
-cinemato graphy</w>
-nbaf inals</w>
-vali ant</w>
-kil kenny</w>
-te rence</w>
-syste mic</w>
-sr l</w>
-p ound
-made ira</w>
-pl ough
-tre cht</w>
-mat ed</w>
-mp d</w>
-ransom ware</w>
-ph in</w>
-li qui
-bb ce
-boom er
-i standwith
-con ju
-r te
-nar a</w>
-foo lish</w>
-da shing</w>
-vier nes</w>
-br ite</w>
-da u</w>
-juni per</w>
-ai da</w>
-you now</w>
-ra zer</w>
-de i
-repe ating</w>
-comfor ting</w>
-adjac ent</w>
-e to</w>
-ca sted</w>
-chat ur
-mu er
-syn th
-san itary</w>
-mac le
-independ ent
-law ful</w>
-e erie</w>
-h or</w>
-ðŁĴ Ń</w>
-am rit
-vel o</w>
-station ery</w>
-mu f
-may may</w>
-contempl ating</w>
-elabor ate</w>
-gre gor
-dri es</w>
-ac col
-ภļ
-schwarz enegger</w>
-ill nesses</w>
-day break</w>
-follow back</w>
-collu sion</w>
-electr onic
-jo vi</w>
-hiro shima</w>
-ta w
-hom ec
-mic ah</w>
-qu itting</w>
-fro sting</w>
-ben fica</w>
-hel i
-s ical</w>
-pic cad
-corpor ate
-ment orship</w>
-you are
-sing er
-shi va
-ru ne
-ing er
-ri um</w>
-play able</w>
-doo p</w>
-wil low
-ter re
-ni p
-at d</w>
-war bler</w>
-profession ally</w>
-er ase</w>
-proce ed</w>
-pedestri ans</w>
-mis chief</w>
-ben ding</w>
-alas kan</w>
-c kett</w>
-mo p</w>
-dd les</w>
-shut ter</w>
-ge ared</w>
-atene o</w>
-ma deline</w>
-g ations</w>
-o sha</w>
-der ick</w>
-sw ild
-an gry
-pat ents</w>
-hun k</w>
-decre ased</w>
-fr y
-ðŁĴĸðŁĴĸ ðŁĴĸ</w>
-sal on
-quant ities</w>
-d ario</w>
-ni gel
-ku ma</w>
-jen n
-happ ye
-xx x
-rex perience</w>
-pro s
-au sch
-rele ssly</w>
-ham burger</w>
-fuku shima</w>
-er ne
-stat ec
-ren d
-may field</w>
-j one
-lef ty</w>
-bern stein</w>
-sm il
-gener ates</w>
-fore station</w>
-band its</w>
-ta yo</w>
-r ca</w>
-ac ci</w>
-rodri go</w>
-kn app</w>
-elo vers</w>
-vege tation</w>
-u ral</w>
-le ft
-ħ ï¸ı</w>
-worl dre
-sur i</w>
-embar k</w>
-w son</w>
-ba you</w>
-mu ller</w>
-mo vers</w>
-ðŁķ º
-presby ter
-l f
-cre e
-bat b</w>
-sal am</w>
-demonstr ations</w>
-an ec
-n pc</w>
-it ics</w>
-to graphy</w>
-re inst
-thur st</w>
-tal e
-off ences</w>
-smart city</w>
-bro tha</w>
-ofthe year</w>
-in valuable</w>
-ear n
-ðŁijı ðŁı½</w>
-kre mlin</w>
-gra dy</w>
-town fc</w>
-guern sey</w>
-ma ha</w>
-contag ious</w>
-dre x
-be en
-( £</w>
-nati vity</w>
-k tm</w>
-somer halder</w>
-comp ounds</w>
-íķ ĺ
-" âĢ¦</w>
-af g</w>
-ott news</w>
-h ound
-fire fly</w>
-cil an
-donet sk</w>
-volunte ered</w>
-ak ira</w>
-è ª
-sing ul
-st h</w>
-dro wned</w>
-mand o</w>
-he ir</w>
-ðŁİīðŁİ Ī</w>
-tax is</w>
-y uki</w>
-vel d</w>
-k ans</w>
-el k
-ran ts</w>
-hash tag
-t eng
-ro g</w>
-a at
-gru b</w>
-e ber
-in india</w>
-colo ssus</w>
-sig ni
-so ever</w>
-mile stones</w>
-der o</w>
-differen tial</w>
-phu ket</w>
-master mind</w>
-an gh
-mel ani
-bro ker
-actor vijay</w>
-stun ned</w>
-continu ity</w>
-af fl
-vo cal
-perenni al</w>
-fianc é</w>
-in complete</w>
-hun ts</w>
-re issue</w>
-domin ates</w>
-tur meric</w>
-ro am</w>
-ri on</w>
-bag ged</w>
-nas sau</w>
-fu t</w>
-x ox</w>
-national trust</w>
-jo ye
-san o</w>
-hearth stone</w>
-dis respect</w>
-le es</w>
-h se</w>
-siber ian</w>
-offe e</w>
-re stock</w>
-wolf gang</w>
-re gan</w>
-plan o</w>
-un wind</w>
-re par
-mil le</w>
-] ,</w>
-skul l
-fat ally</w>
-concep tual</w>
-ðŁĮ ²
-f é
-ber to</w>
-b ms</w>
-u a
-mag na</w>
-notre dame</w>
-le te</w>
-la undering</w>
-heartw arming</w>
-buffe tt</w>
-go at
-pe abo
-wind mill</w>
-v ac</w>
-continu ally</w>
-az alea</w>
-mem brane</w>
-can cels</w>
-make yourown
-athe red</w>
-p to</w>
-tor pe
-ðŁĺ ł</w>
-ðŁĴ §</w>
-sc ares</w>
-le aking</w>
-z et
-pix els</w>
-ac i</w>
-kh il
-marath i</w>
-ðŁĻı ðŁı½
-u la
-tam u</w>
-chandi garh</w>
-z agre
-aa b</w>
-pronoun ced</w>
-aubre y</w>
-sand er</w>
-pun ta</w>
-har low</w>
-ic elan
-celebr atory</w>
-so t</w>
-unci ation</w>
-stru ly
-mc dowell</w>
-deepi ka</w>
-remin ders</w>
-my stical</w>
-ct c</w>
-chat ted</w>
-s ica</w>
-bar gains</w>
-ch hat
-ru bin</w>
-m net</w>
-oiland gas</w>
-pel ican</w>
-o at</w>
-mor ality</w>
-k our
-i h</w>
-nu clear
-gc u</w>
-ric her</w>
-vene zia</w>
-m ma
-le ith</w>
-ac company</w>
-rich mond
-sports net</w>
-ba ahu
-smu ggling</w>
-mm i</w>
-ðŁĩ®ðŁĩ ª</w>
-twi sts</w>
-sahi b</w>
-.... .
-amb itions</w>
-il lo
-histor ical
-fo rec
-show biz</w>
-pon ies</w>
-chas ers</w>
-remo del
-will ing
-prince sses</w>
-am ple</w>
-cushi ons</w>
-ac les</w>
-lot r</w>
-da ch
-an the
-in corporate</w>
-new bury</w>
-ki ri
-fried rich</w>
-ab v</w>
-ball ers</w>
-alber t
-ðŁij Ń
-let i</w>
-nan op
-ci de</w>
-anal o
-n sf</w>
-)) ))</w>
-griffi ths</w>
-valen ci
-ro ano
-fun run</w>
-babys itting</w>
-ca day</w>
-ent re
-u ck</w>
-slu g</w>
-tic al
-the sims</w>
-ro ar
-car ney</w>
-g am</w>
-sto we</w>
-fi d
-bun ny
-sham rock</w>
-pe cu
-mol ina</w>
-go cougs</w>
-con tributes</w>
-transform ation
-mo y</w>
-v aj
-sever y
-antioxid ants</w>
-thir teen</w>
-sight seeing</w>
-l j
-reversi ble</w>
-odd ly</w>
-hoo kah</w>
-nou vel
-hal al</w>
-fe i</w>
-stab les</w>
-mul t
-ho pped</w>
-bra ids</w>
-inter change</w>
-ghana ian</w>
-ww ww
-eth no
-con junction</w>
-ago v</w>
-ye ti</w>
-earth and
-ts p</w>
-con serve</w>
-heir loom</w>
-metaph or</w>
-woo f
-tor io</w>
-self less</w>
-n wa</w>
-em ilia</w>
-yl ene</w>
-y xe</w>
-gi ar
-moder ating</w>
-pro bz</w>
-b fi</w>
-ne er
-du mmy</w>
-hanuk kah</w>
-we bber</w>
-k v</w>
-eye brow</w>
-dag ger</w>
-su mp
-ra ges</w>
-ork ney</w>
-tb o</w>
-hal sey</w>
-assign ments</w>
-tr onic</w>
-scri b
-co on
-an war</w>
-# âĢİ</w>
-jal ape
-flori da
-qu aid</w>
-haw keyes</w>
-âĻ¡ âĻ¡</w>
-street car</w>
-ro g
-dat lantic
-gran ola</w>
-un changed</w>
-expect ation</w>
-Ù ĩ
-mar lin</w>
-gu mmy</w>
-ðŁĻı ðŁı¾
-awareness month</w>
-oil painting</w>
-mu th</w>
-per ch</w>
-jun to</w>
-villa gers</w>
-mor g
-che ated</w>
-web comic</w>
-the future</w>
-d ps</w>
-la kings</w>
-men tioning</w>
-vo or
-ident ities</w>
-accor d
-mc gu
-l pga</w>
-rum our</w>
-massi vely</w>
-m pls</w>
-heal y</w>
-d ate
-sp oli</w>
-re visited</w>
-on t
-al and
-scru tiny</w>
-lakel and</w>
-bl ending</w>
-< /</w>
-an kara</w>
-jami edor
-metab olic</w>
-f ences</w>
-ann y
-å ħ
-semic on
-oo tt</w>
-space ship</w>
-wack y</w>
-le ta</w>
-ap ac</w>
-she e</w>
-in herit
-do res</w>
-ðŁĩ¨ðŁĩ ¦
-gent e</w>
-tw ick
-ri ms</w>
-gal ve
-de ville</w>
-king fisher</w>
-scorpi o</w>
-ow l
-al ar
-vari an</w>
-ðŁĹ ĵ
-vene tian</w>
-star dust</w>
-then orth</w>
-q ing</w>
-har rington</w>
-consul ate</w>
-spectac le</w>
-ho bbs</w>
-tur ks</w>
-gre er</w>
-mat ing</w>
-ðŁİ Ģ
-ðŁĮ Ģ</w>
-direc ts</w>
-í ĭ
-pompe o</w>
-vo iced</w>
-la os</w>
-tz u</w>
-pro me
-pri sm</w>
-mer c
-fortun ately</w>
-bc fc</w>
-mcdon nell</w>
-not sorry</w>
-smi led</w>
-t ba</w>
-for war
-mid term</w>
-dar by</w>
-we instein</w>
-up grading</w>
-wol ff</w>
-bron co</w>
-cab ello</w>
-ðŁ¥ ĩ
-fi able</w>
-shar pe</w>
-bat tered</w>
-sat o</w>
-myth ical</w>
-instap ic</w>
-pre pped</w>
-eni um</w>
-e spo
-di aper</w>
-explan ations</w>
-who pping</w>
-ragn ar
-pe el
-antibio tic</w>
-l acks</w>
-harri son
-li sm</w>
-au l</w>
-qu ail</w>
-martin a</w>
-sent encing</w>
-sc ams</w>
-di di</w>
-tr onics</w>
-ãħł ãħł</w>
-go ff</w>
-za in
-param ore</w>
-cha ined</w>
-clin ton
-li ff</w>
-cott ages</w>
-em on</w>
-reve rend</w>
-consu mer
-ce an
-t any
-lum pur</w>
-e bay
-sto ol
-ðŁĺ» ðŁĺ»
-ta pro
-h ath</w>
-modern art</w>
-just ine</w>
-prover b</w>
-app y</w>
-tra x</w>
-mani fest</w>
-am bu
-nai k</w>
-pe pp
-r sd</w>
-mer chants</w>
-kitch ener</w>
-shi fted</w>
-li zz
-âĺħâĺħ âĺħâĺħ
-âĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶ
-uto pia</w>
-tom o</w>
-ou ted</w>
-com ers</w>
-chiroprac tic</w>
-book club</w>
-cin dy
-pro hibition</w>
-se uss</w>
-ë¯ ¼
-thin kin</w>
-rr rr</w>
-go fund
-t ack</w>
-om b</w>
-catastro phic</w>
-ling u
-guild ford</w>
-bo td</w>
-ॠĭ</w>
-plan ter</w>
-^ ^
-win k
-kath mandu</w>
-sto ppers</w>
-smooth ies</w>
-re efs</w>
-hin d
-bell amy</w>
-Ħ ë
-waste water</w>
-vo or</w>
-nat l</w>
-! ]</w>
-re el
-y ap</w>
-scoo by</w>
-work space</w>
-corin thians</w>
-bl un
-obli gation</w>
-g bbo</w>
-dy son</w>
-cra vings</w>
-ell ington</w>
-dap l</w>
-wre xham</w>
-earthand clouds</w>
-uk runchat</w>
-positi oned</w>
-kal b</w>
-four square</w>
-jo ck</w>
-im pending</w>
-even ing
-ath y
-pro claimed</w>
-c ites</w>
-ann apolis</w>
-san i</w>
-mar th
-ir l
-accom mo
-ka a</w>
-fin a</w>
-y aa</w>
-di sper
-ec ar
-bha k
-will y
-ðŁĺĢ ðŁĺĢ</w>
-mcder mott</w>
-mo j
-gener ational</w>
-u said</w>
-train ing
-lon ely
-lo res</w>
-impe cc
-âĢ IJ</w>
-beav ers</w>
-ma ki</w>
-he b</w>
-aap l</w>
-å ı
-wolver hampton</w>
-leader board</w>
-me u</w>
-c fa</w>
-easter n
-hu r</w>
-civil war</w>
-ou rage</w>
-hor ned</w>
-le high</w>
-awar ds
-evi dent</w>
-gi gab
-r ous</w>
-ma del
-ro byn</w>
-ur gently</w>
-k ors</w>
-en as</w>
-heis man</w>
-bam bam</w>
-fab ian</w>
-f om
-evalu ating</w>
-assemb ly
-out sourcing</w>
-hun tsville</w>
-ðŁĶ ª</w>
-justi fied</w>
-cashi er</w>
-sp aper
-buc keye</w>
-analy tical</w>
-illumin ati</w>
-au tho
-o j</w>
-sha de
-geel ong</w>
-wh ey</w>
-he aton</w>
-terri bly</w>
-ele k
-un charted</w>
-sd live</w>
-moto cross</w>
-her mes</w>
-dar shan</w>
-dar lington</w>
-cash mere</w>
-gri pping</w>
-cilan tro</w>
-pun ish</w>
-... :</w>
-ðŁĴ Ħ</w>
-inst ance</w>
-der i
-lo bal</w>
-muk her
-sp ar</w>
-thin ker</w>
-fre mont</w>
-com piled</w>
-color ado
-vig ne</w>
-sm d</w>
-whe ad</w>
-villa ge
-le ek</w>
-formula e</w>
-ta res</w>
-persist ence</w>
-?? ????</w>
-ped ago
-he z
-alzheim ers</w>
-vul ture</w>
-off ence</w>
-is great</w>
-suff ra
-kick in</w>
-h mmmm</w>
-broad way
-ï¸ı @</w>
-art i</w>
-alli son
-endor ses</w>
-ry u</w>
-lolli pop</w>
-soy bean</w>
-kend all
-cer a</w>
-inv ade</w>
-( ðŁĵ·:</w>
-conver ter</w>
-car pets</w>
-ho bo
-fr it
-pe ac
-es qu
-ern an</w>
-ou f</w>
-an il</w>
-di ffer</w>
-ch ing
-bre cht</w>
-sp g</w>
-daven port</w>
-stra va</w>
-sever n</w>
-n gos</w>
-stor ians</w>
-fe te</w>
-parame dic</w>
-j hb</w>
-al amo</w>
-sne aking</w>
-gold coast</w>
-roof s</w>
-isi l</w>
-depic ted</w>
-projec tions</w>
-nu mb
-o ss</w>
-ep i</w>
-glu cose</w>
-zid ane</w>
-infin iti</w>
-íĺ Ħ</w>
-ran som</w>
-ton ics</w>
-fal k
-g ler</w>
-ou tw
-re ss
-week ly
-the on</w>
-n ole</w>
-ðŁĩªðŁĩ º</w>
-vol ley</w>
-sum mar
-neg ativity</w>
-sam son</w>
-ye w</w>
-aus votes</w>
-ju l
-ju dy
-f art</w>
-pra yed</w>
-pal ate</w>
-multicul tural</w>
-double header</w>
-cycl ones</w>
-pier re
-ãģ ¨
-âĺ łï¸ı</w>
-rt w</w>
-conver ting</w>
-wir ral</w>
-l ari
-ir relevant</w>
-austin mahone</w>
-an che</w>
-ya an</w>
-sd f</w>
-$ .</w>
-explo ding</w>
-ulti mate
-prof ici
-gofund me</w>
-cell ence</w>
-ep stein</w>
-bul lied</w>
-sep tic</w>
-à® ¤</w>
-lu mber</w>
-cu ff
-vsco cam</w>
-pl or
-ภ¥
-se ok
-ro to
-venezu elan</w>
-sor ta</w>
-spir ited</w>
-daniel padilla</w>
-team sisd</w>
-radio active</w>
-icelan dic</w>
-ðŁĴ ¤
-ver e</w>
-accommo date</w>
-shi pp
-ot ter
-ol ina</w>
-e go
-su la
-san antonio</w>
-de as</w>
-simil arities</w>
-âļ ¾</w>
-y om
-bro ward</w>
-å °
-can cun</w>
-veri fy</w>
-on te</w>
-candle light</w>
-ìł ķ
-inf ants</w>
-az am</w>
-ðŁĺ °</w>
-le ven</w>
-un stable</w>
-bloom ington</w>
-x ford</w>
-con tour</w>
-y p</w>
-innov ator</w>
-histor ies</w>
-po y</w>
-lolo lol</w>
-ex pires</w>
-cat alo
-bill boards</w>
-an ab
-el ic
-novasco tia</w>
-fa ire
-ìĿ ´</w>
-rock well</w>
-gr ille</w>
-az tec</w>
-joh or</w>
-ur struly
-fi ren
-dun lop</w>
-id le</w>
-port man</w>
-jo es</w>
-tx hsfb</w>
-hol m
-cham ele
-under world</w>
-lo ss
-ti em
-therap ists</w>
-past ure</w>
-pa ste
-ing now</w>
-vul can</w>
-ra gon</w>
-lar kin</w>
-o shi</w>
-ho co</w>
-child hood
-umb rel
-success or</w>
-kath y
-iz en</w>
-° ï¸ı</w>
-share holders</w>
-ol ga</w>
-ai b</w>
-he ap</w>
-fl aming</w>
-ro u</w>
-air tel</w>
-rat t</w>
-z ane</w>
-vo w</w>
-thor ough</w>
-sn ag
-par th</w>
-un conscious</w>
-ve y
-new release</w>
-gh ee</w>
-croati an</w>
-facilit ating</w>
-swan son</w>
-astor ia</w>
-to logy</w>
-master y</w>
-ðŁ¤ ij</w>
-bil bao</w>
-trou pe</w>
-the ori
-chey enne</w>
-ro tt
-shore line</w>
-gra sso</w>
-master chef</w>
-+ )</w>
-vi x</w>
-ellen show</w>
-as g</w>
-an ak
-ku ya</w>
-safar ilive</w>
-debu ting</w>
-blu m</w>
-list ener</w>
-v ins</w>
-book shelf</w>
-smart cities</w>
-makeyourown lane</w>
-; ;
-ðŁIJ ¯
-ri zz
-on ward</w>
-bull dog
-bear ish</w>
-vir uses</w>
-fri gh
-lin den</w>
-we iser</w>
-sn t</w>
-gon a</w>
-dre sden</w>
-fl anders</w>
-cu k</w>
-wheel ing</w>
-ba u</w>
-atu esday</w>
-surf ers</w>
-swi ft
-mc call</w>
-arbitr ation</w>
-aw d</w>
-mon c
-b ine</w>
-at x
-re fr
-mi ro
-po sey</w>
-n are
-rit ter</w>
-âģ ¦</w>
-play book</w>
-blow out</w>
-sports manship</w>
-s oooooo</w>
-malay alam</w>
-gri ms
-bur bank</w>
-infin ity
-sar gent</w>
-oit nb</w>
-joseph ine</w>
-ski pping</w>
-par kin
-excur sion</w>
-semin ars</w>
-jo har</w>
-par tridge</w>
-post game</w>
-ll ll
-blan che</w>
-temp ting</w>
-m na</w>
-lu ka</w>
-is ers</w>
-to ffee</w>
-bar ron</w>
-he mmings</w>
-sa e</w>
-go hawks</w>
-cu pid</w>
-li mbs</w>
-con se
-un common</w>
-z ada</w>
-head shot</w>
-so ils</w>
-pione er
-mam ma</w>
-sem itic</w>
-pan dey</w>
-jamiedor nan</w>
-spl its</w>
-vel a</w>
-son i
-ra ff
-t mobile</w>
-âŀ ĸ</w>
-pra wns</w>
-lit er</w>
-enjo yment</w>
-egg plant</w>
-tu b
-cultur al
-us ic
-suspici on</w>
-sy cam
-summ ed</w>
-ma du
-ho ck
-up wards</w>
-eye ing</w>
-ri ve</w>
-assas sins</w>
-âĤ ¬
-out fy</w>
-chi ves</w>
-t ner</w>
-la is</w>
-por ridge</w>
-sad dest</w>
-w cc</w>
-vick i</w>
-sna ils</w>
-biz italk</w>
-mill an
-ðŁĮ į
-sam oa</w>
-j ing
-mi key
-gu j
-chel ms
-eli gibility</w>
-arma da</w>
-thro p</w>
-surger ies</w>
-ãĤ ¿
-mo hawk</w>
-ex its</w>
-me m</w>
-is lington</w>
-c me</w>
-land fill</w>
-kait lyn</w>
-ðŁİ ¼
-combin ations</w>
-tomorrow land</w>
-ver b</w>
-cor a</w>
-pre cisely</w>
-na om
-ðŁĨ ķ</w>
-shr ink</w>
-sof tly</w>
-merce de
-mand el
-poo dle</w>
-ball erina</w>
-sop h</w>
-jux ta
-y at</w>
-ary an</w>
-hesit ate</w>
-lo wered</w>
-gu lar</w>
-dungeon sand
-ron an</w>
-my ri
-sp f</w>
-men opau
-gra sp</w>
-pa thi
-fe asi
-fla w</w>
-shi story</w>
-ste ward
-gg le
-fay re</w>
-cli que</w>
-credi bility</w>
-yo g
-sec tion
-mu sko
-se ville</w>
-no tt</w>
-cal m
-mate o</w>
-indic ted</w>
-fi ba</w>
-by l</w>
-lin o</w>
-u kin
-!! #</w>
-enig ma</w>
-siri us</w>
-bu sc
-ðŁį Ĭ
-mac kerel</w>
-psal ms</w>
-a at</w>
-tomorrow spaper
-ðŁĺ ĸ</w>
-p fc</w>
-........ ...</w>
-shre k</w>
-mul let</w>
-o sh</w>
-danger ously</w>
-immen sely</w>
-am ur
-ðŁį Ĥ
-pro por
-sy a</w>
-london marathon</w>
-abo ve
-obli gatory</w>
-pro v</w>
-ra cha</w>
-alex is
-pri mary
-sh h</w>
-ether net</w>
-d stv</w>
-cou gar
-un lucky</w>
-ni l</w>
-steak house</w>
-mel a</w>
-fc bayern</w>
-cause way</w>
-ca therine
-fluore scent</w>
-nx t
-to kyo
-au sp
-releg ation</w>
-qui zz
-shored itch</w>
-proud tobe
-promo s</w>
-inter acting</w>
-home brew</w>
-da esh</w>
-w pg</w>
-stead ily</w>
-provin ces</w>
-bal lots</w>
-i ah</w>
-al to
-< <<</w>
-you u</w>
-ri ley
-prefe rence</w>
-tra verse</w>
-incen se</w>
-am munition</w>
-ho dges</w>
-# @</w>
-hail state</w>
-tart an</w>
-witch craft</w>
-vent ilation</w>
-liber tarian</w>
-! âĢ¦</w>
-ow es</w>
-% !</w>
-ong chang</w>
-bru shing</w>
-le ic
-fi ber
-under attack</w>
-down load
-ex pir
-hy o</w>
-pompe y</w>
-mc bride</w>
-y ag
-stre e
-com bat
-ten ding</w>
-ai ra
-gug gen
-ab ra</w>
-in na</w>
-fli ps</w>
-aw al</w>
-m ach</w>
-dol lar
-inspir ations</w>
-z um</w>
-o du
-it ty</w>
-video game</w>
-aqu aman</w>
-har u</w>
-bel fast
-je b</w>
-but ch</w>
-us gs</w>
-calcu lus</w>
-go yal</w>
-mor gen</w>
-x finity</w>
-stand up
-contrac ep
-sab re</w>
-na be
-in secure</w>
-gener ously</w>
-epit ome</w>
-l w</w>
-t ca</w>
-narr atives</w>
-don nell</w>
-pand as</w>
-ber gh</w>
-tu t</w>
-ker al
-fel icity</w>
-br ampton</w>
-quinte t</w>
-nom ore
-ðŁĶ ij</w>
-lo i</w>
-alham dulil
-ðŁĶ¥ ðŁĶĹ</w>
-ston er
-shaw l</w>
-clin ical
-bren dan
-gon e
-fla wed</w>
-tri ppy</w>
-j g</w>
-al location</w>
-po aching</w>
-ve vo</w>
-mo cks</w>
-lef tist</w>
-bon uses</w>
-condem ned</w>
-abil ity
-st ating</w>
-microbi ome</w>
-bio logist</w>
-for you</w>
-wahl berg</w>
-ss or</w>
-ift ar</w>
-w ul
-ÑĦ оÑĤ
-pom er
-me me
-ver te
-tre ll</w>
-tra it</w>
-in let</w>
-hormon es</w>
-deliber ately</w>
-vill ar
-battle ship</w>
-p bl</w>
-tw enti
-ho kies</w>
-dal ail
-say a</w>
-may fair</w>
-han s
-die ts</w>
-⾨ ⾨
-od in</w>
-hot spur</w>
-pap i</w>
-k ana</w>
-k amp
-fin na</w>
-flo tus</w>
-ti ans</w>
-unic orns</w>
-tribe ca</w>
-chang ers</w>
-fore ground</w>
-out a</w>
-inv aders</w>
-gett ys
-tomorrowspaper stoday</w>
-mac millan</w>
-hand written</w>
-w fp</w>
-u de</w>
-state of
-base d
-âĺģ ï¸ı</w>
-cas m</w>
-psy ched</w>
-histor ians</w>
-fol d
-d da</w>
-ag grav
-p ans</w>
-green way</w>
-au sv
-ðŁĺ ¶</w>
-shradd ha
-inde x
-be sti
-zim mer</w>
-t ness</w>
-eye shadow</w>
-ot te</w>
-go ts</w>
-distribu ting</w>
-pro min
-yo l</w>
-ace a</w>
-tram rahim</w>
-hoo per</w>
-supre me
-jam min</w>
-intu itive</w>
-quali fications</w>
-sli m
-sid di
-jay ne</w>
-tri pping</w>
-g tx</w>
-pun s</w>
-e manuel</w>
-om g
-mid summer</w>
-in to
-succul ent</w>
-ri en</w>
-new mexico</w>
-o or</w>
-hoo king</w>
-in f</w>
-ðŁ¤ Ŀ</w>
-flir ting</w>
-na hi</w>
-g friend</w>
-t ps</w>
-hel ix</w>
-z s</w>
-on ie</w>
-ct f</w>
-kri s
-irresi stible</w>
-fla p</w>
-ðŁijıðŁı» ðŁijıðŁı»
-us wnt</w>
-ru d
-ram ps</w>
-pin oy</w>
-ot w</w>
-lol z</w>
-low ering</w>
-favor ite
-t mc</w>
-phra ses</w>
-her mi
-aver aging</w>
-em br
-ben o
-estu ary</w>
-sle eve
-ribb ons</w>
-ta sh
-ภ¹</w>
-x f</w>
-aw gs</w>
-sun ited</w>
-brew eries</w>
-anir ud
-pun ches</w>
-ol die</w>
-ip ads</w>
-wi fey</w>
-land lords</w>
-d ji
-gun ner</w>
-íķ ´</w>
-tex an
-ex op
-cas sandra</w>
-s off
-ðŁļ «</w>
-igh ton</w>
-bak ers
-awareness week</w>
-v all</w>
-ear p</w>
-bts bbmas</w>
-apologi zes</w>
-âļĵ ï¸ı</w>
-was ps</w>
-states man</w>
-snat ch</w>
-watch dog</w>
-ra fi
-after party</w>
-spi ke
-j er</w>
-peri ph
-r nc</w>
-mu ll</w>
-le en
-shi es</w>
-li eu</w>
-urstruly mahesh</w>
-mer ton</w>
-de sai</w>
-shi f
-ðŁĮ ±
-pe dic
-gos ling</w>
-arrang ing</w>
-ww g</w>
-gen y</w>
-you uu</w>
-netfli x
-e ttes</w>
-k wi
-bernar dino</w>
-am iga</w>
-Ø ¨</w>
-kashmir i</w>
-t ings</w>
-emer itus</w>
-de cat
-ab domin
-dc i</w>
-pha ses</w>
-d jan
-be am
-op ry</w>
-i shed</w>
-the ellenshow</w>
-the st</w>
-habit ats</w>
-to ons</w>
-mclau ghlin</w>
-ri pper</w>
-micro biology</w>
-tal aga</w>
-clu eless</w>
-ss u</w>
-cro che
-bro mance</w>
-longe vity</w>
-zagre b</w>
-prev ented</w>
-tra ve
-spo ilt</w>
-darry l</w>
-migra ine</w>
-al cat
-dd dd</w>
-vi v</w>
-ser pent</w>
-mat tel</w>
-jam a</w>
-con quest</w>
-î Ħ
-sam sung
-presbyter ian</w>
-ket ch</w>
-fire fox</w>
-mo tif</w>
-le c</w>
-cho pping</w>
-cher no
-j ann
-ðŁIJ °
-pro lon
-wake up</w>
-conver gence</w>
-mersey side</w>
-heart broken</w>
-lo oming</w>
-hal lucin
-mai ze</w>
-commun ism</w>
-mo h</w>
-twitter storians</w>
-serge y</w>
-res eller</w>
-favor able</w>
-ed gy</w>
-re iter
-mal aga</w>
-live me</w>
-ka hn</w>
-pul sion</w>
-big g</w>
-kim kardashian</w>
-ati o</w>
-tyr anny</w>
-ru ption</w>
-q ant
-pro ven
-by z
-pu shaw
-kri stin
-e er
-tar dis</w>
-ri z</w>
-awak en</w>
-mi ko</w>
-un documented</w>
-path finder</w>
-indirec t</w>
-resemb les</w>
-h ler</w>
-conce aled</w>
-scand al
-re im
-d nb</w>
-cr itters</w>
-attend ant</w>
-apprentice ships</w>
-aa u</w>
-scre amed</w>
-l su
-fa h</w>
-har bour
-ed d</w>
-bat sman</w>
-li ss</w>
-mi sha</w>
-spani el</w>
-it f</w>
-advan cement</w>
-fa c</w>
-close up</w>
-cecil ia</w>
-medi c</w>
-narcis si
-lav ish</w>
-gi ac
-ma ys</w>
-le it
-wine wednesday</w>
-pushaw ard
-let to</w>
-curren ts</w>
-bug atti</w>
-out ine</w>
-w j</w>
-un do</w>
-ler osis</w>
-devo tional</w>
-ðŁij «</w>
-on na</w>
-fais al</w>
-sa una</w>
-himach al</w>
-am ii
-à® ®</w>
-di zzy</w>
-screen writing</w>
-ph x
-sp n
-ick i</w>
-ag irl</w>
-fi shes</w>
-wb z</w>
-pi m</w>
-bo ar</w>
-ac id
-! ..</w>
-rocke feller</w>
-n ga</w>
-dra stically</w>
-simpli fy</w>
-dru mming</w>
-autum nal</w>
-gur mee
-lor de</w>
-jo ann
-give up</w>
-b our</w>
-am ura</w>
-der land</w>
-sim pler</w>
-wat son
-tri dent</w>
-concor dia</w>
-bel lum</w>
-bre k
-dum plings</w>
-vi on</w>
-dungeonsand dragons</w>
-sp ri
-ascen sion</w>
-wil datlantic
-u st
-rob ins</w>
-legi on
-insi st</w>
-jar o</w>
-gue ss
-so b</w>
-bigh it</w>
-pool side</w>
-negoti ating</w>
-mc gill</w>
-bil d</w>
-techn icians</w>
-miti gation</w>
-ajay devgn</w>
-b to</w>
-ant en
-cosmo politan</w>
-ðŁĺĬðŁĺĬ ðŁĺĬðŁĺĬ
-patri oti
-temp er</w>
-promen ade</w>
-nav ajo</w>
-nam m</w>
-wrink les</w>
-dc fc</w>
-le ach</w>
-bru nette</w>
-r f
-cout inho</w>
-al ti
-tradition ally</w>
-op tome
-na z</w>
-accord ingly</w>
-rec ard</w>
-de ets</w>
-sw ell
-po sure</w>
-whit ening</w>
-strang er
-illi on
-here ford</w>
-u wu</w>
-ro bber</w>
-cotsw olds</w>
-cl en
-gor ge
-nam aste</w>
-re lish</w>
-gri ff</w>
-adren aline</w>
-bla sio</w>
-val e
-ê ²
-toler ate</w>
-rail minindia</w>
-jen sen
-ho ven</w>
-el lu
-ob sole
-eisen hower</w>
-unidenti fied</w>
-than niversary</w>
-body guard</w>
-Ø ¯</w>
-i dge</w>
-sch al
-stock port</w>
-sn i</w>
-re taining</w>
-po po</w>
-pix ie</w>
-oli thic</w>
-ki er</w>
-ha jj</w>
-sa z</w>
-cor bin</w>
-!!!! !!!!!!</w>
-v it</w>
-me gat
-de h</w>
-circu it
-af fleck</w>
-theore tical</w>
-hope less</w>
-u ab</w>
-slu mp</w>
-b ice
-jam med</w>
-let stalk</w>
-can i
-side ways</w>
-labyrin th</w>
-re fs</w>
-ha hn</w>
-jare d
-ðŁį ¹</w>
-jam bo
-ph yl
-enhan cement</w>
-c tr
-ful lest</w>
-se ye</w>
-do ba</w>
-cho ic
-yo s</w>
-cb j</w>
-andr é</w>
-re watch</w>
-pri ma
-doctr ine</w>
-for gets</w>
-u hm</w>
-ar ound
-u le</w>
-art lovers</w>
-shi raz</w>
-har th</w>
-ex tor
-Å ¡
-unexpec tedly</w>
-eli us</w>
-y x</w>
-em my
-se ac
-ðŁijĩðŁijĩ ðŁijĩ</w>
-correc ted</w>
-com bu
-wom anc
-cou gh
-what son
-publi shes</w>
-divers ity
-back bone</w>
-lock down</w>
-mesmeri zing</w>
-nor te</w>
-ma b</w>
-desig ner
-í ģ
-ra gh
-mole cules</w>
-get outside</w>
-the beatles</w>
-semicon duc
-nach o</w>
-lun es</w>
-ham mers</w>
-sul tan
-o on
-fe ren
-att ach</w>
-ar qu
-uttarak hand</w>
-s ash</w>
-; -
-tre ad</w>
-i ko
-ar thur
-scandin avian</w>
-r ation</w>
-ga el</w>
-charge able</w>
-fish y</w>
-v ma</w>
-hand bags</w>
-char a</w>
-ay ne</w>
-de fam
-sett lers</w>
-qad ri</w>
-pal ais</w>
-in wx</w>
-apocaly ptic</w>
-poo ja</w>
-a es</w>
-at ories</w>
-proof ing</w>
-n lp</w>
-ts la</w>
-v ina</w>
-li do</w>
-dee phouse</w>
-informat ics</w>
-v v</w>
-pp ings</w>
-di ss</w>
-Ã ¯
-uhur u</w>
-st ony</w>
-betra yed</w>
-b aff
-my ra</w>
-as pen
-allow ance</w>
-tam ara</w>
-ci f</w>
-cor bett</w>
-ser ge</w>
-di go</w>
-ambi gu
-pain ters</w>
-p cr</w>
-p ca</w>
-nom s</w>
-lo ft
-ve e
-opend ata</w>
-ðŁIJ ±
-alex andre</w>
-identi fies</w>
-fantasy football</w>
-re production</w>
-brom ley</w>
-ware agle</w>
-mm er
-p ss
-cu es</w>
-ay at</w>
-hut chinson</w>
-sar ac
-jack man</w>
-ira h</w>
-ap ink</w>
-col s</w>
-aussi es</w>
-ex ecs</w>
-day ton
-ðŁĻ Ĩ</w>
-im v
-har am
-chuck le</w>
-authent icity</w>
-ar do
-incub ator</w>
-ภª</w>
-photo shopped</w>
-embrac ed</w>
-fight for</w>
-gor man</w>
-zz zz
-schol astic</w>
-cri sps</w>
-te apo
-mid night
-ga ine
-col lier</w>
-s ate</w>
-de tte</w>
-å Ń
-imag ine
-i ff
-tw ili
-i fication</w>
-teat ro</w>
-nor ma</w>
-es ur
-emergen cies</w>
-rise up</w>
-r inger</w>
-hass le</w>
-cait lyn</w>
-tranqu il</w>
-vers a</w>
-se b
-over look</w>
-gin i</w>
-bo go</w>
-se re
-may ne</w>
-henri k</w>
-contamin ated</w>
-rhapso dy</w>
-pro portion</w>
-wildatlantic way</w>
-âģ© .</w>
-organis ers</w>
-tran e</w>
-stand ard
-sper m</w>
-laun cher</w>
-ric ci
-her ts</w>
-paper work</w>
-showcas ed</w>
-mer yl</w>
-pen a</w>
-p imp
-disa strous</w>
-^. ^</w>
-phar a
-x is</w>
-fron tal</w>
-sw irl</w>
-sp ills</w>
-swag ger</w>
-smart watch</w>
-sizz ling</w>
-savi our</w>
-cat ar
-bb cr</w>
-refurbi shment</w>
-dr is</w>
-citro en</w>
-absor b</w>
-patrioti sm</w>
-il leg
-chro mo
-fresh ers</w>
-ru s
-lim iting</w>
-ef ish</w>
-down ed</w>
-man dir</w>
-hazel nut</w>
-p all
-mac on</w>
-disappear ing</w>
-quali fies</w>
-bo on</w>
-bar racks</w>
-am ine</w>
-gen dere
-ðŁļ ĺ</w>
-j es</w>
-ãĥ Ń
-qu ito</w>
-middle weight</w>
-sch au
-quad ru
-aci ones</w>
-limit less</w>
-ðŁijĮ ðŁı½</w>
-ch man</w>
-ar av
-regulat ors</w>
-it up</w>
-batter sea</w>
-mil ford</w>
-g z</w>
-tic king</w>
-gh ou
-cru shes</w>
-tu tu</w>
-dread ful</w>
-fam ine</w>
-for change</w>
-dalail ama</w>
-ðŁĴ į
-whit aker</w>
-hash mi</w>
-h us</w>
-vo d</w>
-bet te</w>
-aa ah</w>
-iso o</w>
-ðŁ¥ Ī</w>
-ha ar</w>
-la ine</w>
-b v</w>
-all day</w>
-spr out</w>
-indie games</w>
-free bie</w>
-gree ks</w>
-but ler
-ill in</w>
-ha al</w>
-ware ness</w>
-si ma</w>
-public health</w>
-gam a</w>
-wa a</w>
-oun g
-goo oo
-okin awa</w>
-off enders</w>
-im pose</w>
-ho c</w>
-young ster</w>
-story teller</w>
-sc ap
-figh ter
-+ ,</w>
-whit es
-music monday</w>
-re za</w>
-go ducks</w>
-bri a</w>
-mi um</w>
-cas per</w>
-cru mbs</w>
-a ad</w>
-marti alarts</w>
-ch p</w>
-ri gged</w>
-tn g</w>
-harve sted</w>
-sa k</w>
-do jo</w>
-mill wall</w>
-b nw</w>
-oc d</w>
-histor yof
-t mr</w>
-si rens</w>
-fan ci
-caregi vers</w>
-vir a</w>
-son i</w>
-recur ring</w>
-acknowle dged</w>
-ðŁı Ł
-oph ile</w>
-bu cky</w>
-stre ssing</w>
-roo k</w>
-di gger</w>
-vi val
-san do
-fle et
-si ers</w>
-sel caday</w>
-refre shed</w>
-anti fa</w>
-a que
-po lo
-disappear ance</w>
-de mb
-âĮļ ï¸ı</w>
-ren ted</w>
-ber ger
-g mb
-cu la</w>
-ss al</w>
-goo dy</w>
-u hh</w>
-marcel o</w>
-w anna
-soft ware
-shop small</w>
-turt le
-tom as
-fri sco</w>
-ðŁĺį ðŁĴķ</w>
-jim enez</w>
-c su
-day z</w>
-an do
-wyn ne</w>
-choreo grapher</w>
-cerv ical</w>
-trail blazers</w>
-ed g
-zend aya</w>
-travel blog</w>
-el s
-whole some</w>
-co g</w>
-lab out
-ar ney</w>
-del le</w>
-su isse</w>
-ma si
-ine se</w>
-om be</w>
-fi ddle</w>
-re claim</w>
-pa u</w>
-wat cher</w>
-sla in</w>
-ber ty</w>
-opti mum</w>
-el ites</w>
-min is</w>
-tur key
-patro ls</w>
-ger ard
-au reli
-wild ly</w>
-wal tz</w>
-br gy</w>
-w ob
-cre st
-+ ++</w>
-ve z
-fro sted</w>
-davi do</w>
-the x
-param edics</w>
-p into</w>
-han k
-du pont</w>
-ur g</w>
-fo stering</w>
-micro poetry</w>
-spec tre</w>
----- ></w>
-ne uro</w>
-fri da</w>
-music al
-galve ston</w>
-e ffic
-sc ape
-pal azzo</w>
-th all</w>
-pro visional</w>
-p js</w>
-au re
-ðŁĶ ľ</w>
-mam amoo</w>
-kit ties</w>
-cre e</w>
-wa k</w>
-lo ool</w>
-lu pus</w>
-cn blue</w>
-Ã º</w>
-ðŁİ ¬
-rac ed</w>
-tro se</w>
-om as</w>
-stri de</w>
-co ors</w>
-⤠µï¸ı</w>
-in comparable</w>
-cy ril</w>
-broad er</w>
-arec lipse</w>
-ðŁį Ķ</w>
-inter val</w>
-ti ru
-co working</w>
-w aco</w>
-a ham
-a bee</w>
-flouri sh</w>
-the times</w>
-ol ini</w>
-kick boxing</w>
-lu cer
-at la
-as un
-casser ole</w>
-mi aw</w>
-lobb ying</w>
-jan ice</w>
-cir que</w>
-re flex</w>
-le ary</w>
-sanat omy</w>
-tem pest</w>
-se mb
-mur dering</w>
-us av
-ro bo</w>
-on et</w>
-p cc</w>
-nati ves</w>
-life of
-sa ha
-ruth less</w>
-rel ates</w>
-appeti zer</w>
-pye ongchang</w>
-nor d</w>
-er u
-a thing</w>
-ug ly
-pl ying</w>
-bran ce
-organ ise</w>
-kend ra</w>
-dat o</w>
-chees es</w>
-par ma</w>
-burn out</w>
-a stra</w>
-pre toria</w>
-adjust ment</w>
-uk u</w>
-sl o</w>
-li ken
-fav ors</w>
-cli ve
-be ets</w>
-snow donia</w>
-go tv</w>
-sy n</w>
-open house</w>
-pan i</w>
-portra yed</w>
-sl ated</w>
-me cca</w>
-ren al</w>
-supportsmall streamers</w>
-staf fs</w>
-da o</w>
-bi ker
-vik tor</w>
-tit us</w>
-admi red</w>
-ðŁĵ ±
-hurric an
-he ats</w>
-gl ory
-photo genic</w>
-mer i</w>
-de por
-burn ham</w>
-or angu
-dj ing</w>
-impre ssionism</w>
-ign ition</w>
-ca i</w>
-w ynn</w>
-de pe
-cove ted</w>
-colla gen</w>
-sau s</w>
-or nam
-administr ators</w>
-ss on
-nh politics</w>
-hahahaha hahahaha
-aspir ations</w>
-r gb</w>
-swol len</w>
-so we
-sc r</w>
-diver gent</w>
-hou ghton</w>
-han oi</w>
-d ory</w>
-ni ki</w>
-land ry</w>
-b cci</w>
-ðŁijĮ ðŁijĮ
-is mail</w>
-tri pod</w>
-her d
-bhat t</w>
-dress age</w>
-tab by</w>
-ingu ish</w>
-hur on</w>
-à³ į</w>
-Ã ł
-to das</w>
-evangel ical</w>
-chor ds</w>
-st john
-slo ppy</w>
-marty r
-face book
-ali ght</w>
-sen sei</w>
-kath niel</w>
-r ites</w>
-zi one</w>
-u o</w>
-revel ations</w>
-weight lifting</w>
-pan o</w>
-nc wx</w>
-ac ton
-à® ķ</w>
-Ø ²
-som a</w>
-ภĹ</w>
-respec ting</w>
-mar che</w>
-fore man</w>
-be tty
-ki k</w>
-shi bu
-po on</w>
-argy le</w>
-k swx</w>
-et z
-mar bella</w>
-brac kets</w>
-stand by</w>
-fire side</w>
-defi ance</w>
-v ex
-britanni a</w>
-in habit
-appo int</w>
-piyu sh
-le ash</w>
-sci ento
-fla sk</w>
-sen na</w>
-> :</w>
-at roc
-sand erson</w>
-id lib</w>
-dhan ush</w>
-ðŁĺ Ļ
-en thr
-hit ch</w>
-de dly</w>
-al ley
-dor k</w>
-mon do</w>
-cudd ly</w>
-mis sin</w>
-ye sss</w>
-night ing
-j pn</w>
-w ary</w>
-ump ire</w>
-ma z</w>
-ê ³
-bab s</w>
-ĭ ãģ
-stan ford
-posse ssed</w>
-exce eded</w>
-ðŁĶ ¶</w>
-wall art</w>
-tra p
-j il
-hi bis
-sp ying</w>
-scri be</w>
-khali l</w>
-trans lator</w>
-lu mb
-di zed</w>
-ch c</w>
-super vision</w>
-shut ter
-ja g</w>
-_ *</w>
-yester days</w>
-ms f</w>
-hi hi</w>
-gonz aga</w>
-gille spie</w>
-vive k</w>
-ec static</w>
-this morning</w>
-ch us</w>
-ed es</w>
-ston ed</w>
-be es
-ðŁĩ¹ ðŁĩ
-tur in</w>
-ho ver
-at rics</w>
-ster n
-sam heughan</w>
-auti sm
-mi ya</w>
-eye witness</w>
-writ ings</w>
-travel tips</w>
-chut ney</w>
-px rtg</w>
-keny ans</w>
-my stic
-k rit
-/ $</w>
-red head</w>
-world ly</w>
-am us</w>
-op la
-le ve
-gab bana</w>
-se en
-o clock</w>
-gang a</w>
-keen an</w>
-sc ent
-ol dies</w>
-go green</w>
-corner stone</w>
-comp ly</w>
-con cours</w>
-ðŁİ¶ ðŁİ¶</w>
-ha an</w>
-con fis
-aw son</w>
-cle op
-î Ģ
-su zu
-sau té
-al gar
-subscri ber</w>
-este emed</w>
-ãĤ¤ ãĥ
-worth while</w>
-mel rose</w>
-flo ck
-bri ghtly</w>
-viol inist</w>
-p ere</w>
-sli pping</w>
-and co</w>
-si gh
-ha van</w>
-cu lo
-m sa</w>
-fibro sis</w>
-matil da</w>
-ra fting</w>
-aw ard
-ë ª
-mm mm
-ge aux
-ste iner</w>
-sin n</w>
-help ers</w>
-beet les</w>
-ai mee</w>
-tai wan
-pistachi o</w>
-mac beth</w>
-m zan
-descend ants</w>
-on sale</w>
-in r</w>
-il m</w>
-grou se</w>
-sa ig
-mo w</w>
-bi gre
-adjust ments</w>
-tu la</w>
-mathe w</w>
-transl ates</w>
-mu h
-bol lah</w>
-ðŁĴĽ ðŁĴĻ</w>
-amo res</w>
-ab outs</w>
-bomb shell</w>
-bla ster</w>
-x avi
-s ns</w>
-k roger</w>
-ga ther
-erad ic
-daf t</w>
-chem o</w>
-ben ches</w>
-ðŁĩ© ðŁĩ
-ut v</w>
-our a</w>
-n ko
-gator ade</w>
-biaf ra</w>
-ok state</w>
-im danielpadilla</w>
-dom ains</w>
-open ingday</w>
-kid do</w>
-do i</w>
-ric e
-day care</w>
-mac millan
-ba thurst</w>
-cheer leading</w>
-ðŁ¦ ģ
-cash back</w>
-k won</w>
-hob bies</w>
-exem pl
-ries ling</w>
-âļ ª</w>
-ag les
-ny s
-every thing
-nav is</w>
-ad di</w>
-magne sium</w>
-faceli ft</w>
-ark ham</w>
-grand es</w>
-extre mist</w>
-don at
-vit ality</w>
-pump kin
-be tta</w>
-sl td</w>
-arti san
-li by
-pe aked</w>
-ah hhhh</w>
-mary am</w>
-assi m</w>
-un sc</w>
-ment e</w>
-al aya</w>
-low ers</w>
-ar as</w>
-gri ev
-le ip
-gr ati
-cri ses</w>
-spr ints</w>
-exe cute</w>
-w to</w>
-ms d</w>
-mag ical
-re viewer</w>
-spark les</w>
-juke box</w>
-ðŁĺĤ âĿ¤ï¸ı</w>
-pay back</w>
-licen ses</w>
-dun kin</w>
-bel t
-lake wood</w>
-h ateful</w>
-bud gets</w>
-rev amped</w>
-ph erson</w>
-ky iv</w>
-went worth</w>
-ro sen</w>
-cru ise
-gi ggle</w>
-def star</w>
-assassin scre
-ym outh</w>
-win kle</w>
-w fc</w>
-band wagon</w>
-b kk</w>
-w iring</w>
-kear ney</w>
-south side</w>
-pe tit
-! ðŁĺį</w>
-nor dic
-mir za</w>
-mu gabe</w>
-v l</w>
-scon es</w>
-k tv
-sand al
-du c</w>
-m alls</w>
-ðŁĴŀ ðŁĴŀ</w>
-it c</w>
-al ay</w>
-im pair
-un rest</w>
-flo ss</w>
-c é
-ab ou
-var ying</w>
-muse o</w>
-ser ver
-di ya</w>
-hibis cus</w>
-ero y</w>
-mer ritt</w>
-fin dom</w>
-f pp</w>
-un usually</w>
-go tt</w>
-conting ent</w>
-ali aa</w>
-ball on</w>
-jo l</w>
-hi ked</w>
-zy me</w>
-ay r</w>
-ag n
-ga z</w>
-perio dic</w>
-spar ty</w>
-practi sing</w>
-lin ton</w>
-tal is
-cy pri
-womanin biz</w>
-radio disney</w>
-ðŁĮ ¼
-jump ers</w>
-endo cr
-ðŁļ¨ ðŁļ¨
-and on</w>
-shar apo
-mi er</w>
-ma sonic</w>
-fac tories</w>
-vi en
-bb ers</w>
-ìĽ IJ</w>
-hol d
-ke bab</w>
-be ak</w>
-approach ed</w>
-ac milan</w>
-mun ro</w>
-ko sher</w>
-excell ency</w>
-negoti ation</w>
-walt disneyworld</w>
-cr ouch</w>
-te asing</w>
-suppre ssion</w>
-en ya</w>
-b ce</w>
-transformation tuesday</w>
-cal lie</w>
-vis was
-p gat
-ic ted</w>
-end ings</w>
-esc u
-recru ited</w>
-it fc</w>
-collabor ations</w>
-g ino</w>
-snu ck</w>
-ausch witz</w>
-i fc</w>
-x ii</w>
-ke sha</w>
-ger vais</w>
-clo ak</w>
-x l
-sa ad</w>
-prob ation</w>
-pre cau
-mac in
-anasta si
-le k</w>
-e azy</w>
-daysof code</w>
-mariah carey</w>
-yo g</w>
-stit ched</w>
-boy friends</w>
-sh ar</w>
-ph ile</w>
-ag u</w>
-twin kle</w>
-phi shing</w>
-week ender</w>
-ic ton</w>
-gurmee tramrahim</w>
-al ton</w>
-l eness</w>
-all an
-pen ultimate</w>
-kry stal</w>
-go u</w>
-lan de</w>
-dis mant
-ab using</w>
-nor se</w>
-pat erson</w>
-ed mun
-ap an</w>
-xi umin</w>
-sk el
-cat walk</w>
-re act
-wal led</w>
-t angle</w>
-br yn
-ve to</w>
-super moon</w>
-cas ablanc
-appreci ates</w>
-ski d
-bo th
-catal ina</w>
-ele ague</w>
-cyber monday</w>
-cau tious</w>
-ðŁ¤ ĵ
-nov o</w>
-hamp ton
-ha ye
-jose f</w>
-var an
-lo bos</w>
-roano ke</w>
-orph ans</w>
-tt in</w>
-squ ads</w>
-ishqba aaz</w>
-black panther</w>
-e tu
-k sh</w>
-cru mble</w>
-cess na</w>
-reli eved</w>
-scul ly</w>
-pollin ators</w>
-explore canada</w>
-ki es
-kam loops</w>
-kir an</w>
-pri mal</w>
-sett lements</w>
-hot spot</w>
-brain storming</w>
-ce dric</w>
-bi ennial</w>
-sh ant
-âĻ¡âĻ¡ âĻ¡</w>
-do on</w>
-hear n</w>
-walk way</w>
-fe m</w>
-ve al</w>
-deport ation</w>
-tox ins</w>
-elimin ating</w>
-descen ding</w>
-by the
-bla sphe
-ha sta</w>
-comple ment</w>
-as cent</w>
-ri ga</w>
-provo st</w>
-âĸ ª</w>
-wee ping</w>
-anti semitism</w>
-employe e
-unearth ed</w>
-pin o</w>
-natali e
-bla d</w>
-ang ola</w>
-lock heed</w>
-in ian</w>
-ag r
-ni ster</w>
-im pala</w>
-m ke</w>
-fan atic</w>
-âĺħ âĺħ</w>
-ðŁij ¸</w>
-lu ch
-simpli fied</w>
-gall ery
-econom ic
-cy borg</w>
-con i</w>
-sel ma</w>
-in ception</w>
-ko ala</w>
-dv ds</w>
-cre sted</w>
-m mor
-visi ble
-n sd</w>
-ðŁĻĮ ðŁı½
-w under
-refriger ator</w>
-re opening</w>
-e era</w>
-carou sel</w>
-as p</w>
-balli stic</w>
-victor y
-mo tive</w>
-tre y
-sharapo va</w>
-si i</w>
-mon ter
-int end</w>
-west chester</w>
-sp e</w>
-cy mb
-vi dal</w>
-ll ama</w>
-uni v
-fin er</w>
-crafts manship</w>
-jazz fest</w>
-b ch</w>
-ag gio</w>
-n cc</w>
-lamb da</w>
-tranqu ility</w>
-cis co
-ba den</w>
-so bbing</w>
-of i
-go ta</w>
-ru mored</w>
-war med</w>
-ore an</w>
-ac ton</w>
-mar ci
-gh ani</w>
-âľ ĵ</w>
-as sorted</w>
-pembro ke
-pen elope</w>
-da f</w>
-at ty</w>
-aim o</w>
-pretz el</w>
-carni val
-than os</w>
-ko chi</w>
-mer sal</w>
-ham radio</w>
-ar twit</w>
-cas c
-guer rilla</w>
-kush ner</w>
-k app
-al ise</w>
-todd lers</w>
-steward ship</w>
-o tti</w>
-ter ri</w>
-tem pe</w>
-rest less</w>
-vit o</w>
-zay ed</w>
-rsp b</w>
-pi on
-hi ppo</w>
-haw thorne</w>
-in as
-am ily</w>
-nut cracker</w>
-lo p
-d ali
-tro pic</w>
-ðŁ¤ ł</w>
-ul o</w>
-jare dle
-py rene
-pale o
-usa ir
-m ould</w>
-it ated</w>
-gene tically</w>
-biom ass</w>
-ðŁĩ³ðŁĩ ±</w>
-do dd</w>
-practic ed</w>
-monarch s</w>
-un manned</w>
-m buhari</w>
-am al</w>
-photo gra
-ko ol
-bren don</w>
-ju ices</w>
-cu re
-world bank</w>
-poin ters</w>
-ðŁĴ Ŀ
-tur f
-le ds</w>
-bor ussia</w>
-bapti sm</w>
-warwick shire</w>
-moun ts</w>
-gay o</w>
-be gg
-co pied</w>
-asi ans</w>
-k g
-moder nist</w>
-gi d
-front man</w>
-concentr ated</w>
-y t
-sc avenger</w>
-iron ically</w>
-adi c</w>
-ps n</w>
-ðŁ¥ ī</w>
-cultur ally</w>
-yu v
-mac arthur</w>
-fertili zer</w>
-be withyou</w>
-ri gor
-min ors</w>
-z oning</w>
-âĸ ł</w>
-ri r</w>
-adole scent</w>
-vin ny</w>
-ren g</w>
-sand stone</w>
-gu et</w>
-we sth
-ple dged</w>
-lac ed</w>
-sp ide
-v ai</w>
-ty coon</w>
-seiz ure</w>
-du p
-appalach ian</w>
-ro k</w>
-cathol ics</w>
-sey chel
-posse ss</w>
-la ger
-jo di
-cham p
-stra s
-d ina</w>
-cent uri
-cal der</w>
-blur ay</w>
-ðŁĩ¨ðŁĩ ³</w>
-mo do</w>
-an nette</w>
-youtu bers</w>
-chap s</w>
-ang ling</w>
-label ing</w>
-a qui
-pk wy</w>
-ly le</w>
-bi sexual</w>
-lit ur
-dug out</w>
-li bby</w>
-grey sanatomy</w>
-sub stances</w>
-august us</w>
-rall ying</w>
-fi del</w>
-ing ue</w>
-äº º
-hallmark channel</w>
-tooth brush</w>
-m á
-adi rond
-ag gi
-ðŁĵį :</w>
-cru sade</w>
-tax ation</w>
-k z</w>
-i ver
-dou bling</w>
-room ie</w>
-wa b</w>
-en rolled</w>
-az on</w>
-a ju
-grand children</w>
-as df
-ðŁ¥ º</w>
-mat ic
-ough ton</w>
-utili ze</w>
-ðŁĴ £
-pon der</w>
-rais in</w>
-dys function</w>
-co bain</w>
-butter nut</w>
-e man</w>
-su red</w>
-dri an</w>
-and friends</w>
-with the
-on omy</w>
-heine ken</w>
-bri dal
-leader ship
-pyram ids</w>
-deutsch land</w>
-jo cel
-bo wel</w>
-y qr</w>
-horse power</w>
-be acon
-ing eni
-gra dient</w>
-fer mented</w>
-mo om
-thing y</w>
-pot assi
-wrist band</w>
-bor d</w>
-bo died</w>
-ðŁĺŃ ðŁĺį</w>
-ma pp</w>
-ka u</w>
-cyber punk</w>
-ph ish</w>
-loo king
-co ates</w>
-ap ur
-am ie</w>
-uk labour</w>
-at in
-g la</w>
-adop table</w>
-shel by
-v illi
-ri ya</w>
-m ingly</w>
-cli mber</w>
-bumble bee</w>
-ðŁĺ ¸</w>
-c sd</w>
-âĿ ¥</w>
-hospit alized</w>
-c ki
-hat er</w>
-ch r</w>
-re tina</w>
-it a
-fan base</w>
-beat rice</w>
-gwy ne
-go ss</w>
-fo s
-favor ited</w>
-swachhb harat</w>
-mal ade</w>
-mon mouth</w>
-" [</w>
-si van</w>
-sh hh</w>
-command ing</w>
-sains burys</w>
-wee d
-g man</w>
-ss w</w>
-rep tile</w>
-iv y
-tro pics</w>
-roll ers</w>
-over cast</w>
-ex position</w>
-masquer ade</w>
-man crush
-wa ist
-spr inter</w>
-sle et</w>
-le vin</w>
-j pg</w>
-_ (</w>
-o pel</w>
-explo it</w>
-ap a
-po we
-wrec king</w>
-jong in</w>
-or b</w>
-er ick</w>
-bo sco</w>
-pra ising</w>
-ber tr
-to wing</w>
-in security</w>
-ku t</w>
-resto cked</w>
-rr p</w>
-prescri bed</w>
-trafal gar</w>
-per t
-g ases</w>
-app rais
-g har</w>
-music als</w>
-âĸ¬ âĸ¬
-mc fad
-ag ony</w>
-conditi on
-equi p</w>
-shi k</w>
-atra vel</w>
-ðŁĩ¿ ðŁĩ¦</w>
-ke h</w>
-abduc tion</w>
-pe oria</w>
-wil kins</w>
-g ms</w>
-as d</w>
-ev i</w>
-ðŁĴĹ ðŁĴĹðŁĴĹ</w>
-u z</w>
-mo c</w>
-halle lujah</w>
-guad alu
-lou vre</w>
-dra wing
-go ve</w>
-ph ant
-fri e
-web dev</w>
-program mer</w>
-z able</w>
-games com</w>
-clari fy</w>
-li th
-kin ky</w>
-âĿ £
-labour doorstep</w>
-son ata</w>
-ju ris
-mai den
-vi adu
-buch arest</w>
-conditi oned</w>
-capit alist</w>
-u de
-ps b</w>
-sp ca</w>
-lul la
-footh ills</w>
-kay o</w>
-bon d
-wom b</w>
-roun der</w>
-ce sar
-bur sts</w>
-ap ra
-sw oon</w>
-sab rin
-fra grant</w>
-cle arer</w>
-ku brick</w>
-cli max</w>
-jour no</w>
-ag le
-ðŁı½ âĢįâĻĢï¸ı</w>
-poo ch</w>
-hal e
-sol it
-sal mon
-organis ms</w>
-bron son</w>
-art en</w>
-hodg son</w>
-alo ve</w>
-vent ure
-bb i</w>
-ae a</w>
-ðŁIJ ¢</w>
-ld n
-d nr</w>
-o zone</w>
-el las</w>
-man ny
-azz ur
-un beat
-tru ffles</w>
-th ong</w>
-ma ñ
-las ers</w>
-ley e</w>
-gettys burg</w>
-back packs</w>
-or is</w>
-ma ison
-craw ling</w>
-la bra
-cl ing
-dra gging</w>
-ste al
-dou bt
-de van
-ck ers</w>
-agent sof
-photo bomb</w>
-elon musk</w>
-abo y</w>
-dist ances</w>
-story line</w>
-sp i</w>
-nor than
-europe ans</w>
-wh ale
-ser pent
-ðŁļ ²</w>
-fi or
-tr it
-ox o</w>
-awar ding</w>
-class mate</w>
-su fc</w>
-smar test</w>
-rich es</w>
-pr k</w>
-big foot</w>
-ar mb
-bi polar</w>
-dw elling</w>
-om ars</w>
-k wan
-gri me</w>
-m eng
-freder ick
-navar ro</w>
-sorry notsorry</w>
-jaredle to</w>
-pa ve</w>
-sl ack
-barn sley
-att ar</w>
-evic tion</w>
-accumul ation</w>
-o ir</w>
-cat chy</w>
-wel ter
-vik as</w>
-has see</w>
-nik ita</w>
-mo yes</w>
-mathe ws</w>
-shi v</w>
-gat wick</w>
-pro filing</w>
-compan ions</w>
-mar rake
-an tics</w>
-ðŁĻĮðŁĻĮ ðŁĻĮ</w>
-se se</w>
-bo i
-bart lett</w>
-poison ous</w>
-ab uses</w>
-ym m</w>
-kam pala</w>
-guggen heim</w>
-imv kohli</w>
-dol om
-bre e</w>
-thro ttle</w>
-gare th
-fitz patrick</w>
-un ya</w>
-par ad
-mar got</w>
-j nr</w>
-we a
-potassi um</w>
-p nc</w>
-disgu ised</w>
-cra sh
-ren ergy</w>
-ill ic
-coup led</w>
-ni els</w>
-ci ones</w>
-æĹ ¥</w>
-im ent</w>
-despic able</w>
-d ye
-what cha</w>
-conne ctions</w>
-paralym pics</w>
-gaunt let</w>
-wait rose</w>
-suici dal</w>
-star ship</w>
-vap or
-st ou
-law maker</w>
-coo led</w>
-si mo</w>
-then o
-offro ad</w>
-ja den</w>
-bas que</w>
-vick y
-lu kaku</w>
-centr o</w>
-tri sh</w>
-strate gist</w>
-medic ations</w>
-hor st</w>
-b fc</w>
-gra il</w>
-sharp ly</w>
-ad itya</w>
-tom b
-kau fman</w>
-tri pad
-sam ba</w>
-pastor al</w>
-brit ney
-sag an</w>
-hill side</w>
-mas ons</w>
-sar a
-z one
-x u</w>
-to tes</w>
-rob bie
-app en
-mon tag
-der o
-short film</w>
-charis matic</w>
-tat ors</w>
-ki ba
-and ri
-al arming</w>
-split ting</w>
-ic ar
-th ug
-scari est</w>
-sylve ster</w>
-an an
-u trecht</w>
-a difference</w>
-me ade</w>
-bu ster
-air strikes</w>
-cu ffs</w>
-account ants</w>
-ðŁĺ¡ ðŁĺ¡
-new t</w>
-bo tt</w>
-issu ing</w>
-cl ancy</w>
-wwen etwork</w>
-kyu hyun</w>
-rese mble</w>
-pajam as</w>
-sin k
-kin ney</w>
-sul ph
-or k</w>
-li es
-la gh
-or ton</w>
-ra hul
-d sc</w>
-we will
-re am
-collo qui
-shar ia</w>
-hec tic</w>
-sar casm</w>
-land er
-tm z</w>
-endor f</w>
-ro z</w>
-ham mered</w>
-fri s
-w adi</w>
-pope francis</w>
-he it</w>
-flash light</w>
-un born</w>
-op es</w>
-hol iness</w>
-ðŁIJ ¦</w>
-nach t</w>
-im sa</w>
-gr acing</w>
-bj p
-ver ts</w>
-c sc</w>
-home owner</w>
-a que</w>
-bigo try</w>
-anni e
-bag h</w>
-âĿ¤ï¸ı ðŁĺį</w>
-car i</w>
-thom p
-dispo sable</w>
-cardio logy</w>
-pat ented</w>
-hh hhhh</w>
-ld r</w>
-stephen son</w>
-cro res</w>
-fan ning</w>
-cli mat
-ðŁijį ðŁijįðŁijį</w>
-ðŁijį ðŁı¼
-aer on
-piccad illy</w>
-bank rupt</w>
-sil via</w>
-emplo y
-don ny
-commen ting</w>
-screen writer</w>
-io ta</w>
-ce an</w>
-anc ers</w>
-tu an</w>
-street wear</w>
-ठ¯</w>
-sk ine</w>
-esp a
-asi f</w>
-os ce</w>
-she ppard</w>
-more cam
-bott le
-der s
-orac le
-google play</w>
-aver aged</w>
-edmon ton
-steph an</w>
-sister hood</w>
-cru sted</w>
-stag gering</w>
-methodo logy</w>
-congress woman</w>
-c abo
-tri ggers</w>
-mil ky
-gli de</w>
-tooth paste</w>
-room mates</w>
-nu ff</w>
-gu am</w>
-sprink les</w>
-alternati ve
-wat fordfc</w>
-uof t</w>
-hal ey
-cont acted</w>
-bun dy</w>
-pro stitu
-gh ar
-pre ston
-on site</w>
-hil ar
-g ts</w>
-c att
-hamp stead</w>
-? ?!</w>
-ðŁĩ§ ðŁĩ
-bbc qt</w>
-aless andro</w>
-resi st
-ma idan</w>
-t ko</w>
-shad ing</w>
-pin up</w>
-gal lo
-sin u
-at ec
-fun k
-ac lu</w>
-stri des</w>
-rhy me</w>
-wet land</w>
-bbc springwatch</w>
-t ins</w>
-wild card</w>
-st our
-flamen co</w>
-pau la
-onto logy</w>
-gang sta</w>
-am ade
-ãĤ «
-t bs</w>
-skelet al</w>
-run ner
-jard in</w>
-harri er</w>
-hun ted</w>
-z hen
-believein film</w>
-de mean
-au diti
-re start</w>
-chon dri
-âĿ¤ï¸ı ðŁĴĻ</w>
-mcla ren
-ga b</w>
-sh um
-au sa</w>
-lewi sham
-y pg</w>
-k jv</w>
-fur nished</w>
-dor o</w>
-bon ded</w>
-mor ty</w>
-lat itude</w>
-_ )</w>
-lo va</w>
-water ways</w>
-vin ai
-shor th
-drun k
-c ay</w>
-ay ana</w>
-kap lan</w>
-capp uccino</w>
-spr o</w>
-life boat</w>
-has bro</w>
-spol ice</w>
-tor on
-do ing
-dam n
-sh ree</w>
-foun tains</w>
-ent ation</w>
-mar u
-boar der</w>
-to pless</w>
-j ada</w>
-chan ning</w>
-ul ls</w>
-en closure</w>
-gib son
-fractu red</w>
-brit ton</w>
-Ã ¶</w>
-t ous</w>
-por th
-dra f
-tra iling</w>
-mar gate</w>
-eli fe
-down ward</w>
-lin n</w>
-gla des</w>
-girl power</w>
-ak rish
-u ki
-ron da</w>
-ts c</w>
-appreci ationday</w>
-vis ing</w>
-lo om
-ðŁį ³</w>
-mex ican
-ar gos</w>
-y ya</w>
-jad ine</w>
-south port</w>
-d end
-si sta</w>
-rede em</w>
-men g</w>
-bra xton</w>
-antioxid ant</w>
-s key</w>
-mp g</w>
-fin ding
-vibr ation</w>
-ce u</w>
-kh art</w>
-di mini
-cl ine</w>
-shel ly</w>
-hin es</w>
-ī ï¸ı</w>
-to pical</w>
-no ver</w>
-ma xx</w>
-prim itive</w>
-illustr ate</w>
-b ounds</w>
-tren ton</w>
-join tly</w>
-breed ers</w>
-u chi
-wakeup america</w>
-b ada</w>
-ðŁĹ £ï¸ı</w>
-gu acam
-sp heres</w>
-pere gr
-youth ful</w>
-lo lo</w>
-bir min
-t ly
-jeremy corbyn</w>
-defe cts</w>
-co sm
-a rent</w>
-v aa</w>
-bag els</w>
-medi ac
-cori ander</w>
-ic ago</w>
-g haz
-ab bas
-re model</w>
-struc turing</w>
-pu m
-out law
-ad ani</w>
-r bc</w>
-gul ls</w>
-n li</w>
-confu se</w>
-ðŁijĩ ðŁı¼</w>
-vil a</w>
-mcnam ara</w>
-correc tions</w>
-mug hal</w>
-ser i</w>
-re gain</w>
-ss b</w>
-lea ve
-haha hah
-gran de
-di stressed</w>
-re chargeable</w>
-ho a</w>
-hou sed</w>
-sti l</w>
-attribu ted</w>
-opath ic</w>
-di ps</w>
-pri t</w>
-head phone</w>
-conclu de</w>
-pil o
-he t
-ut sa</w>
-nit in</w>
-je m</w>
-sni ppet</w>
-tutor ing</w>
-op er</w>
-sun k</w>
-en sla
-cha u</w>
-ac orn</w>
-quinte ss
-ran kin</w>
-affili ated</w>
-our lives</w>
-cl int
-se ater</w>
-isa ac
-ba shing</w>
-sme ar</w>
-nur se
-doo dling</w>
-" ;</w>
-sa ku
-atroc ities</w>
-im am
-g fs</w>
-viol ating</w>
-comm end
-brad shaw</w>
-er ville</w>
-b illed</w>
-b be</w>
-thul hu</w>
-i phones</w>
-moo se
-di os</w>
-re w</w>
-me thane</w>
-strang ely</w>
-whis ky
-ti ghtly</w>
-spiel berg</w>
-radi us</w>
-notic ing</w>
-wi f</w>
-ig nati
-i fa</w>
-ap is</w>
-w ali
-ha itian</w>
-bu shes</w>
-y z
-v l
-ex ited</w>
-asse l</w>
-tru ec
-dom en
-ash er</w>
-in king</w>
-newyear seve</w>
-hend ricks</w>
-bat i</w>
-ìĿ´ ì
-rich ter</w>
-mon santo</w>
-con line</w>
-agre at
-ðŁ¤ ¯</w>
-master pieces</w>
-ar n</w>
-rough s</w>
-cle ve
-se v</w>
-fashi ons</w>
-to ya</w>
-sh ail
-cop eland</w>
-aqu ari
-dec als</w>
-are you
-y aya</w>
-a str
-fon t
-ml m</w>
-ar ca</w>
-pp or
-pol lock</w>
-xper ia</w>
-conserv ation
-chain saw</w>
-ag gie</w>
-?! ?!?</w>
-si le
-sh on</w>
-ìĹ IJ
-note books</w>
-marque tte</w>
-de us</w>
-bb led</w>
-spic er</w>
-mc cabe</w>
-nor wich
-modi fication</w>
-boo sted</w>
-stru m</w>
-sales man</w>
-bang le</w>
-nis san
-hez bollah</w>
-brea sts</w>
-a af
-anth us</w>
-sk er
-ow ed</w>
-her os</w>
-gi fs</w>
-fo sters</w>
-eat ers</w>
-du es</w>
-_ /
-lymph oma</w>
-sf am</w>
-me gal
-afri di</w>
-ag ic</w>
-p amp
-jeal ousy</w>
-ðŁijĮ ðŁı¼
-calcul ate</w>
-napp ing</w>
-g ale
-ðŁ¦ Ħ</w>
-lub bock</w>
-assu med</w>
-ren ting</w>
-íĥ ľ
-subur b</w>
-ãĤ ·
-tech nic</w>
-u cla
-in front</w>
-gar net</w>
-ster oids</w>
-stri ving</w>
-ho war
-mo ver</w>
-le ton
-bull do
-is in</w>
-ci ao</w>
-sn z</w>
-fore front</w>
-d ams</w>
-mid wife</w>
-ma wards</w>
-cla pton</w>
-we in</w>
-subsi dies</w>
-spr oud</w>
-rother ham</w>
-phan tom
-ar ach
-spi el</w>
-rac ket</w>
-sel amat</w>
-no on
-l bc</w>
-enti ally</w>
-ðŁĴ ¸
-sil ve
-m oud</w>
-kine tic</w>
-y asi
-ðŁİ ©</w>
-o ol
-mi ku</w>
-i za</w>
-fer a</w>
-flo ren
-barber shop</w>
-groo t</w>
-z est</w>
-ne ars</w>
-stan is
-z and
-police man</w>
-juris dic
-form ations</w>
-appar atus</w>
-sp d
-arti fact</w>
-to sc
-motiv ating</w>
-womanc rush
-re dro
-diagno stics</w>
-ra za</w>
-out fitters</w>
-el xn</w>
-dod gy</w>
-ry n</w>
-sh d</w>
-ortho don
-ol de</w>
-jay anti</w>
-bal ances</w>
-quic kest</w>
-can ton
-friday reads</w>
-! *</w>
-na a</w>
-a ak
-ðŁĶ ·</w>
-behavi ors</w>
-rasp berries</w>
-ä »
-polit ical
-cam il
-å ľ
-di k</w>
-ast ounding</w>
-lie be</w>
-novel ty</w>
-tur moil</w>
-sul ly</w>
-spring break</w>
-hon ouring</w>
-cc g</w>
-ðŁı Ĵ</w>
-my little
-ky c</w>
-pro ms</w>
-ðŁķ Ĭ</w>
-Ã ¨</w>
-bi ge
-av ril</w>
-ðŁĩµðŁĩ °</w>
-mari on
-as ants</w>
-sur ya</w>
-oc tag
-luf than
-ac ron
-fayette ville</w>
-ti que</w>
-love s
-en ca</w>
-de kalb</w>
-ta ver
-de vote
-aux iliary</w>
-joh annes</w>
-tread mill</w>
-ay an
-qu r</w>
-donald son</w>
-cher yl
-" ....</w>
-s ven
-kir sty</w>
-gun ners</w>
-ra dish</w>
-o ahu</w>
-v sky</w>
-i ble</w>
-con course</w>
-b ps</w>
-elo qu
-ash ford</w>
-te bow</w>
-roblo x</w>
-ma da</w>
-dri ving
-th day</w>
-spro ject</w>
-m ms</w>
-band ed</w>
-. !!</w>
-libr arians</w>
-flan nel</w>
-intoler ance</w>
-her al
-ç µ
-neme sis</w>
-list a</w>
-tar ak</w>
-cry pt</w>
-star plus</w>
-vish nu</w>
-sc ale
-cr is</w>
-% ),</w>
-j illian</w>
-regg ae
-pegas us</w>
-ol in
-ip ment</w>
-man ic</w>
-l fc
-godd ard</w>
-ite am</w>
-parl our</w>
-anch ors</w>
-lee minho</w>
-talla hassee</w>
-ant it
-d ho
-kid ney
-y ash</w>
-batt led</w>
-az ad</w>
-gar is</w>
-faul kner</w>
-sni ff</w>
-papar azzi</w>
-ed m
-phy llis</w>
-con tested</w>
-aa ay</w>
-se ca</w>
-k ton</w>
-vel ve
-rain ier</w>
-for um
-tam pab
-ho sp</w>
-trac tors</w>
-ox fordshire</w>
-no tion</w>
-guang zhou</w>
-ðŁĺ ¯</w>
-ref ill</w>
-wednesday motivation</w>
-sli der</w>
-mukher jee</w>
-pr att
-fon taine</w>
-alph on
-af ar</w>
-ts i</w>
-pest icides</w>
-fi ends</w>
-mo cking</w>
-bra w
-tran sat
-do ses</w>
-co res</w>
-hom ophobia</w>
-docu menting</w>
-zlat an</w>
-con doms</w>
-s é
-sun set
-kun st</w>
-ton ga</w>
-ภª
-v ation</w>
-sp ray
-chow der</w>
-ra ps</w>
-palla dium</w>
-nor wood</w>
-music history</w>
-hoo ker</w>
-si si</w>
-osp rey</w>
-ph ys</w>
-conce ded</w>
-bob cat</w>
-ar mad
-ze it
-Ù Ħ</w>
-ðŁĺģ ðŁĺģ
-mer idi
-ðŁĩ· ðŁĩº</w>
-corn wall
-! ),</w>
-touch downs</w>
-ze it</w>
-chal et</w>
-mm m
-al che
-gor illa
-fo ss</w>
-ati ku</w>
-lumin ous</w>
-ivan ka</w>
-be ek</w>
-sta res</w>
-sw iss
-âĿ¤âĿ¤ âĿ¤âĿ¤
-scru bs</w>
-me ath</w>
-gusta v</w>
-jo gging</w>
-confe tti</w>
-as os</w>
-ers fc</w>
-breit bart</w>
-applic able</w>
-autho red</w>
-ya ho
-h in</w>
-displac ement</w>
-j v
-ðŁĮ¹ ðŁĮ¹
-ot c</w>
-non profits</w>
-diec ast</w>
-gu sto</w>
-inte stin
-c ages</w>
-me en
-lu kas</w>
-moon ey</w>
-ðŁĺ ·
-very day</w>
-tor ah</w>
-is sion</w>
-wa c</w>
-lever aging</w>
-ish able</w>
-cu se</w>
-le wood</w>
-may an</w>
-turn table</w>
-ju ice
-tru sty</w>
-tu p
-eti quette</w>
-supervis ors</w>
-stu n</w>
-gu zman</w>
-confe ren
-ric o
-fe ast
-back ward</w>
-pol aris</w>
-mic he
-jo g
-h ing
-field house</w>
-vel ing</w>
-sho cker</w>
-esc ence</w>
-ठ¾
-vi be
-anasta sia</w>
-mar ched</w>
-kill ing
-Ķ ë
-fe tt</w>
-exop lan
-... (</w>
-snow day</w>
-lo h</w>
-ir ani</w>
-la khs</w>
-del a</w>
-po caly
-boom ers</w>
-dictat orship</w>
-ac er
-tur keys</w>
-quarter final</w>
-muskete ers</w>
-ðŁĴĽ ðŁĴļ
-sf x</w>
-museum week</w>
-sc ala</w>
-ri sis</w>
-( ðŁĵ·</w>
-ãĢ Ĥ</w>
-z ies</w>
-bo eh
-hu es</w>
-lu sci
-dol a</w>
-impeach trump</w>
-roo d</w>
-don caster
-tor re</w>
-hero es
-fo yer</w>
-tar i</w>
-blur red</w>
-ke w
-frank ly</w>
-dro id</w>
-ap al
-Ð ¼
-y af
-bre t
-par agu
-cac ao</w>
-ðŁĻĮ ðŁı¾
-ru e
-head aches</w>
-shaw ty</w>
-char ley</w>
-pal er
-go wns</w>
-correc tional</w>
-ðŁĺ© ðŁĺ©</w>
-breaking bad</w>
-ol ing</w>
-da p</w>
-endeav our</w>
-cit adel</w>
-tra d</w>
-incumb ent</w>
-medit ate</w>
-foo ted</w>
-ðŁĴ µ</w>
-shab bat</w>
-dayof the
-wil lem</w>
-gal way
-to red</w>
-marri age
-f illion</w>
-sleeve less</w>
-aud itor</w>
-jin young</w>
-invin cible</w>
-kad una</w>
-a and
-volcan oes</w>
-mon eti
-indie gogo</w>
-buccane ers</w>
-ðŁijī ðŁı½</w>
-ãĢ Ĥ
-lay ton</w>
-cuck oo</w>
-hu mber</w>
-buzz er</w>
-Ï ī</w>
-to re
-stra ins</w>
-sto m</w>
-pa ine</w>
-s we</w>
-du ff
-z ou
-si mi</w>
-li pp
-ur n</w>
-se agu
-ðŁĶ ®</w>
-sun dae</w>
-hi c</w>
-ðŁĺ ¨</w>
-bull pen</w>
-u per
-flyo ver</w>
-al dridge</w>
-glo bes</w>
-ali es</w>
-ken zie</w>
-ge es</w>
-y cle</w>
-sp lin
-mag enta</w>
-j ha</w>
-bal u
-gh orn</w>
-ti pper
-wick er</w>
-taste of
-con clave</w>
-ch ale</w>
-inv asi
-cat er</w>
-dio xide</w>
-me gab
-win n</w>
-at p
-transform ative</w>
-nest led</w>
-hi g
-bri dging</w>
-lil ies</w>
-chee red</w>
-bad dest</w>
-sc rolls</w>
-real is</w>
-dipl o</w>
-ðŁĶ «
-conce ssion</w>
-prefe rences</w>
-explo des</w>
-er gon
-introduc tory</w>
-ine au</w>
-ch af
-som es</w>
-land rover</w>
-spir ation</w>
-sex y</w>
-sco recard</w>
-illustr ates</w>
-soul mate</w>
-wi en</w>
-inter disciplinary</w>
-fore casting</w>
-ent ities</w>
-glu ed</w>
-en lar
-cur t</w>
-percep tions</w>
-boot leg</w>
-mi re
-asho k</w>
-v az
-hor ne</w>
-cal le</w>
-ac ulture</w>
-ther oy
-night time</w>
-oc al</w>
-character design</w>
-ar mist
-ðŁĺı ðŁĺı</w>
-yah oo
-ac eae</w>
-to se</w>
-even to</w>
-sou t
-nay anth
-wh om
-v are
-ri gging</w>
-gen us</w>
-hi ve
-com mands</w>
-sti e
-day a</w>
-ethan ol</w>
-en f
-hi fi</w>
-flu ence</w>
-cle mson
-re invent</w>
-thermom eter</w>
-humor ous</w>
-emer ging
-aci ón</w>
-ðŁĺĺ ðŁĺį</w>
-s ity
-haw ke</w>
-accompan ying</w>
-t ility</w>
-ðŁĺ ª
-re cess</w>
-protag onist</w>
-l ery</w>
-dun dal
-int l
-britt any
-q bs</w>
-off the
-marri ages</w>
-how to
-viol ated</w>
-adel aide
-wit t
-lanc er</w>
-pak v
-hu me</w>
-st ade</w>
-bra gging</w>
-ou tright</w>
-ad c</w>
-super st
-real time</w>
-cu res</w>
-garden ers</w>
-ero ck</w>
-dale jr</w>
-ver o</w>
-bar tol
-mo ti
-mc fly</w>
-v pn</w>
-st ink</w>
-over rated</w>
-guer ra</w>
-e tis
-ath ome</w>
-twd family</w>
-th ab
-tn x</w>
-rafa el
-family travel</w>
-x ley</w>
-sat anic</w>
-equ ations</w>
-ru dy
-wal dorf</w>
-stan i</w>
-tu be
-meas les</w>
-zimmer man</w>
-obli gations</w>
-i ously</w>
-bow ser</w>
-trans former</w>
-sho ppe</w>
-shak en</w>
-gh ouse</w>
-to d
-ke tball</w>
-share holder</w>
-mar ca</w>
-kp mg</w>
-ak an</w>
-given chy</w>
-coast al
-au th</w>
-roller coaster</w>
-mar ches</w>
-coordin ate</w>
-cine ma
-apprentic es</w>
-par lor</w>
-mit o
-men on</w>
-consider able</w>
-bar re</w>
-glo ss
-enh ances</w>
-jaz eera</w>
-fal mouth</w>
-thra sh</w>
-stat en</w>
-k zn</w>
-eng el
-samanth ap
-flo ppy</w>
-sal om
-ðŁıĨ ðŁıĨ</w>
-w ack</w>
-deliber ate</w>
-osc ill
-herit ag
-du sted</w>
-orni thology</w>
-pad dle
-fer ns</w>
-bar un
-cl ans</w>
-anticip ate</w>
-a ay
-mat ically</w>
-é ĩ
-tu mble</w>
-post man</w>
-unic ef
-tro tter</w>
-op d</w>
-leaf let</w>
-ge ist</w>
-cease fire</w>
-scre ws</w>
-cre ation
-wal nuts</w>
-longh orns</w>
-under statement</w>
-ab b</w>
-proxim ity</w>
-na x
-un ity
-turn pike</w>
-orda ined</w>
-dub step</w>
-chak ra
-me ch</w>
-love her</w>
-look alike</w>
-donne in
-vir on
-Ù Ī</w>
-bang ers</w>
-vari ants</w>
-out dated</w>
-in ta</w>
-cri sto</w>
-sp elt</w>
-food and
-f on</w>
-stefan i</w>
-margin al</w>
-hu tton</w>
-ti ara</w>
-tel ford</w>
-qu en</w>
-fair grounds</w>
-que tta</w>
-mikha il</w>
-heal er</w>
-v ball</w>
-ty re
-under grad</w>
-gl end
-hom ers</w>
-scri bed</w>
-main tains</w>
-po che
-mis sal</w>
-mar ko</w>
-u as</w>
-á n
-sh p</w>
-con vey</w>
-pad re</w>
-sab a</w>
-pu glia</w>
-madhu ri
-pa xton</w>
-chap lain</w>
-n ago
-ca si
-... !!!</w>
-fli rt</w>
-sal eh</w>
-k are</w>
-di re
-stam ped</w>
-extre me
-ðŁĺĥ ðŁĺĥ</w>
-ho ppy</w>
-guadalu pe</w>
-advant aged</w>
-eu char
-p low</w>
-un n</w>
-mac qu
-port land
-cla sh
-pe s
-lou bout
-y p
-keep ing
-arca dia</w>
-fran kie
-fi u</w>
-de th</w>
-encyclo pedia</w>
-si ze
-inve sts</w>
-ðŁį ©</w>
-geo logical</w>
-fran ç
-con front</w>
-ðŁĺ ¥
-d ys</w>
-af m</w>
-tex an</w>
-graph ene</w>
-repost app</w>
-ac f</w>
-ur sula</w>
-gaz a
-dd led</w>
-fu m</w>
-wsb tv</w>
-m be
-fron tiers</w>
-chrono graph</w>
-ke s
-inter faith</w>
-tab oo</w>
-spar ta</w>
-won do</w>
-flori st</w>
-em braces</w>
-ca w
-no el
-arch ers</w>
-ðŁIJ ·</w>
-roman o</w>
-ban an
-sh akers</w>
-melo dies</w>
-geo thermal</w>
-se phora</w>
-ìļ °
-оР´
-pro c
-hand shake</w>
-pan de
-popul ated</w>
-slow down</w>
-hor tons</w>
-registr ations</w>
-un deni
-lan ts</w>
-pas sover</w>
-thak ur</w>
-li ef</w>
-adhe sive</w>
-pe tal
-micro scopy</w>
-memph is
-confir ming</w>
-air drop</w>
-mesm er
-perce ived</w>
-ming le</w>
-lifel ine</w>
-gh j
-worcester shire</w>
-pas sions</w>
-ach er
-el lar</w>
-ah o</w>
-firen ze</w>
-bar ang
-letter man</w>
-hat field</w>
-lu cha</w>
-je ter</w>
-e shop
-william s
-horo scope</w>
-pre de
-east bourne</w>
-dur ga</w>
-di version</w>
-al trin
-seis mic</w>
-premi osm
-nar co
-ti r</w>
-ori g</w>
-or m</w>
-land fall</w>
-ci ous</w>
-lin do</w>
-max ine</w>
-x ico</w>
-tra y
-os wald</w>
-c ba</w>
-ric otta</w>
-n cr</w>
-mar au
-ภ²</w>
-gladi ator</w>
-ch ery</w>
-lun g
-u me
-po psic
-lon ging</w>
-can als</w>
-ta ya</w>
-decentr alized</w>
-sho pp
-pres sures</w>
-mahar aj</w>
-eti had</w>
-wal greens</w>
-succe ssion</w>
-sign aling</w>
-li g</w>
-staf fer</w>
-north korea</w>
-def ying</w>
-as ma</w>
-de g</w>
-peri meter</w>
-oak ville</w>
-m sk
-balti more
-rece ip
-de ple
-ðŁĺŃ ðŁĺĤ</w>
-jambo ree</w>
-> .<</w>
-rsp b
-puni sher</w>
-consider ably</w>
-in tothe
-pari sian</w>
-acceler ated</w>
-polye ster</w>
-low es</w>
-fr ying</w>
-sauté ed</w>
-mou ths</w>
-seychel les</w>
-ra x</w>
-go dis
-dak ota
-house wives</w>
-the me
-mat inee</w>
-black bird</w>
-ye sung</w>
-pre fers</w>
-pelle gr
-in ated</w>
-trun ks</w>
-stronger together</w>
-re pet
-re pairing</w>
-ped als</w>
-toler ant</w>
-her r</w>
-dun ne</w>
-indic ation</w>
-decat ur</w>
-b tv</w>
-exhibit ors</w>
-ik on
-friday motivation</w>
-bra gg</w>
-live tweet</w>
-al ves</w>
-womens art</w>
-foreig ners</w>
-wal lets</w>
-min dy</w>
-lan ey</w>
-bb in</w>
-tv miaw</w>
-lif ter</w>
-tar get
-tam e
-dr ou
-astro photography</w>
-mp c</w>
-g pu</w>
-nord strom</w>
-fric tion</w>
-run off</w>
-lov able</w>
-sp nfamily</w>
-ext ingui
-bloo dy
-sch el</w>
-arti stry</w>
-sw ish</w>
-scar ce</w>
-ph ils</w>
-max im</w>
-pos sum</w>
-com promised</w>
-sty li
-sc fc</w>
-is sa
-birmin gham
-sket ched</w>
-angel ica</w>
-ordin ance</w>
-je ts
-conqu er
-ðŁĺ IJ
-online shopping</w>
-s ori
-reason ably</w>
-nue stro</w>
-ar turo</w>
-ch l</w>
-benef ici
-spho to</w>
-wel t</w>
-ni kk
-ðŁ¤ ŀ</w>
-dan ao</w>
-for mid
-as se</w>
-af irst</w>
-âľ Ĥ
-gil lette</w>
-as sor
-an onym
-sel ca</w>
-fe mi</w>
-bear able</w>
-y and
-ar mory</w>
-cre pe</w>
-celtic fc</w>
-bra vo
-in expensive</w>
-de lec
-ge cko</w>
-new market</w>
-snow flakes</w>
-kab ir</w>
-con tra</w>
-can ning</w>
-mor pho
-gar wal</w>
-ðŁĴĥ ðŁı»</w>
-fight ing
-mu tation</w>
-woo dy
-ju gg
-gr aces</w>
-premiosm tvmiaw</w>
-kenne dy
-gu p
-sa e
-op ha
-off spring</w>
-fini sher</w>
-bet ts</w>
-span ning</w>
-mar j
-h one</w>
-sh ing
-contin ents</w>
-samanthap rabhu</w>
-un related</w>
-l acy</w>
-explo sions</w>
-benjam in
-sophi e
-no ting</w>
-micro soft
-as sen</w>
-a hoy</w>
-i ker</w>
-ho fer</w>
-mo e
-ah madi
-yan n</w>
-an ak</w>
-ma hi</w>
-be u
-aha h</w>
-creep er</w>
-baahu bali</w>
-am at
-pri ory</w>
-haw keye</w>
-deloit te</w>
-sko da</w>
-print making</w>
-assemb ling</w>
-mirac ulous</w>
-no ch</w>
-sw o
-leg a</w>
-oper ates</w>
-border lands</w>
-eli e
-stron gh
-rep tiles</w>
-pir ate
-un fold</w>
-Â ¯
-qual comm</w>
-un predictable</w>
-ot r</w>
-rose wood</w>
-direc tional</w>
-counsel ors</w>
-corn ell
-liber ated</w>
-j ad</w>
-ir regular</w>
-bulgar ian</w>
-high ness</w>
-vodaf one</w>
-sw ild</w>
-mini mize</w>
-gra zie</w>
-๠ĩ</w>
-r stats</w>
-stre ep</w>
-ome tric</w>
-humb le
-lu mp</w>
-l ille</w>
-b ü
-home depot</w>
-tripad visor</w>
-ki wan
-a via</w>
-er z</w>
-ex ico</w>
-du f
-blu men
-mi zing</w>
-ar ma</w>
-in im
-con stan
-sor a</w>
-ju al</w>
-au n</w>
-tw ell
-tren ches</w>
-her a</w>
-r k
-po plar</w>
-recipe oftheday</w>
-ll an</w>
-bhu ban
-short ages</w>
-ing don</w>
-bridge water</w>
-ðŁIJ ĺ</w>
-fortn ite
-cam den
-un cture</w>
-pro w
-colon ies</w>
-t ks</w>
-n go
-b hm</w>
-live pd
-spl ace</w>
-sli ke
-happye aster</w>
-ter rence</w>
-revol ver</w>
-j ed</w>
-yy yy
-office of
-m ts</w>
-exist ential</w>
-r ourke</w>
-explore bc</w>
-sse d
-pri est
-vix en</w>
-si ding</w>
-k pa</w>
-a har</w>
-ju ic
-ob struc
-foren sics</w>
-uk mfg</w>
-cancell ation</w>
-we ary</w>
-ab q</w>
-ele c</w>
-pri zed</w>
-deb ts</w>
-me zz
-salv atore</w>
-m dc
-gre tte</w>
-c gc</w>
-th on
-snow storm</w>
-ts ch</w>
-cook ery</w>
-å ¹
-wa xing</w>
-n acional</w>
-mur s</w>
-ra ve
-cap es</w>
-ger main</w>
-dri pping</w>
-sub mitting</w>
-ome lette</w>
-iter ation</w>
-aj es</w>
-shim mer</w>
-fu eling</w>
-ðŁĩ§ ðŁĩª</w>
-li po
-bo bble</w>
-un follow</w>
-islam ist</w>
-hi ber
-cat s
-agentsof shield</w>
-sen si
-____ _</w>
-ster ia</w>
-inst al
-ausp icious</w>
-har row</w>
-over land</w>
-femini sts</w>
-inst ant
-char iot</w>
-blind ness</w>
-sp ed</w>
-sc arec
-nu it</w>
-mini atures</w>
-ho seok</w>
-glo ck</w>
-fifa worldcup</w>
-e te
-dis m</w>
-we iner</w>
-ex foli
-ear ts</w>
-ภĶ</w>
-my art</w>
-man il
-iss ant</w>
-form a</w>
-in cu
-buffal ob
-in tim
-mc cul
-anj ali</w>
-po po
-un doub
-hil a</w>
-fun gal</w>
-thank ful
-fu tur
-en dish</w>
-ren ds</w>
-th ar</w>
-she ff
-ring o</w>
-nichol ls</w>
-io wa
-po tom
-cl ams</w>
-ãģ Ħ</w>
-acon f</w>
-stadi ums</w>
-di mp
-di k
-residen ces</w>
-do v</w>
-caric ature</w>
-seagu ll</w>
-kl m</w>
-confe ss</w>
-sla pped</w>
-cele b
-turb ines</w>
-pp v</w>
-nur ture</w>
-el ab</w>
-.... .#</w>
-tu ff</w>
-de press
-al far
-amii bo</w>
-di spon
-e wing</w>
-que er
-friend s
-for re
-âĺ ¼</w>
-sw t</w>
-aqu arius</w>
-head liner</w>
-cur d</w>
-fi gs</w>
-o tters</w>
-love fl</w>
-kare em</w>
-go vegan</w>
-fri yay</w>
-consol ation</w>
-at ri</w>
-ì§ Ħ</w>
-âĺĿ ï¸ı</w>
-poly ne
-gu ed</w>
-o ya</w>
-la us
-intestin al</w>
-cam illa</w>
-scal p</w>
-pi r</w>
-leed s
-horri fying</w>
-bore tum</w>
-dand elion</w>
-fer rer</w>
-ell ic
-as x</w>
-so ren
-re loaded</w>
-ale ague</w>
-navig ator</w>
-ine tte</w>
-add ams</w>
-al chemist</w>
-ak shay</w>
-dystop ian</w>
-awe c</w>
-n aya</w>
-al isa</w>
-ai led</w>
-ag or
-avi ator</w>
-ali zer</w>
-smo bile</w>
-findyour park</w>
-cop ying</w>
-to ddy</w>
-sh ti</w>
-mon ger</w>
-cal houn</w>
-nap kin</w>
-break up</w>
-y atra</w>
-se thu
-ric hi
-eras mus</w>
-fer ry
-am ore
-prac tise</w>
-bo bo</w>
-power point</w>
-oo se</w>
-li ffe</w>
-chin a
-sh ka</w>
-fad navis</w>
-du ane</w>
-war on
-fal se
-ðŁļ Ĥ</w>
-wa shes</w>
-disc ip
-==== ====
-g k
-ab b
-stub born</w>
-medi eval
-p ci</w>
-ðŁį ª</w>
-maril yn
-h yo
-man di
-cr i</w>
-prede cess
-continu ation</w>
-om usic</w>
-s lat
-wh al
-mall ory</w>
-bon n</w>
-shen zhen</w>
-ca i
-âĺ ĥ
-sa fest</w>
-for wards</w>
-dra wers</w>
-bla sted</w>
-sle e</w>
-mor phe
-mb ta</w>
-dumb ass</w>
-ÑĦоÑĤ о</w>
-alhamdulil lah</w>
-ec lub</w>
-al beit</w>
-heal ey</w>
-ayurve da</w>
-adverti sed</w>
-cro cs</w>
-itt les</w>
-bry son</w>
-be i
-nj pw</w>
-honore e</w>
-fu sed</w>
-ðŁĶ ĺ</w>
-mul tin
-n aga</w>
-de parts</w>
-ko p</w>
-kin o</w>
-jhar khand</w>
-ed na</w>
-ax le</w>
-mil ton
-supremac ist</w>
-marrake ch</w>
-domin ic
-tran script</w>
-] [#</w>
-: ).</w>
-wo c</w>
-sur rounds</w>
-o gil
-leaf lets</w>
-co well</w>
-whe w</w>
-tru de</w>
-proli fer
-succe s
-sports man</w>
-con dom</w>
-po che</w>
-k up
-imprison ment</w>
-{ }</w>
-scram bled</w>
-å Ľ
-ka ine</w>
-cell phone</w>
-metam or
-con i
-remn ants</w>
-ee z</w>
-down pour</w>
-afterno on
-exerc ising</w>
-ber ser
-architec ture
-wick low</w>
-m ns</w>
-is p</w>
-bo c</w>
-n iss</w>
-mn wild</w>
-stu mble</w>
-r si</w>
-lu ffy</w>
-sil en
-dd ad</w>
-bul lies</w>
-haw ker</w>
-bb cc
-scu ba
-e pp
-que ts</w>
-for aging</w>
-pal let</w>
-ha di</w>
-cinemato grapher</w>
-cat chers</w>
-to aster</w>
-k hi
-lite coin</w>
-kid lit
-amher st</w>
-maur icio</w>
-ip ad
-mar malade</w>
-fe y
-don nelly</w>
-g to</w>
-est as</w>
-cere bral</w>
-ant grasso</w>
-zz led</w>
-vir gil</w>
-swa pped</w>
-ðŁĺħ ðŁĺħ</w>
-no dapl</w>
-greate st
-nhl bruins</w>
-fra ser
-b mo</w>
-ane w
-. âĿ¤ï¸ı</w>
-se gregation</w>
-remark ably</w>
-mccor mick</w>
-lo gger</w>
-er as</w>
-contrac ting</w>
-âłĢ âłĢ</w>
-yor ks</w>
-uku lele</w>
-touch screen</w>
-de cked</w>
-ben n</w>
-south wark</w>
-ra vin
-nu mis
-ðŁ¤ Ļ</w>
-ru t</w>
-gre co</w>
-eth ic</w>
-red neck</w>
-ar r
-t cs</w>
-ih ri
-ðŁĩ« ðŁĩ·
-l k
-inher ited</w>
-zy k</w>
-viadu ct</w>
-marty red</w>
-hi gu
-ss n</w>
-be in
-street style</w>
-fer gie</w>
-bank of
-æĹ ¥
-stake holder</w>
-exempl ary</w>
-cre ss</w>
-ess a</w>
-ero tica</w>
-intre pid</w>
-gom es</w>
-bra un
-bethan y
-bang tan</w>
-pulmon ary</w>
-m illing</w>
-doctor ate</w>
-trump russia</w>
-ठ°
-s ani
-bl att</w>
-pla u
-depri ved</w>
-t le
-ful ly
-bour n</w>
-st ak
-lufthan sa</w>
-kio sk</w>
-far oo
-def y</w>
-bad an</w>
-ðŁĺĺ âĿ¤ï¸ı</w>
-rit z
-tri sha</w>
-ran ds</w>
-middle sex</w>
-arab s</w>
-pro j</w>
-sport scenter</w>
-repe ats</w>
-iv f</w>
-bleed blue</w>
-as sure</w>
-o bs</w>
-territ orial</w>
-ele n</w>
-bever ley</w>
-ann ah
-âĿ¤ï¸ıâĿ¤ï¸ı âĿ¤ï¸ıâĿ¤ï¸ı
-z l</w>
-for good</w>
-science fiction</w>
-gla u
-son ya</w>
-pri th
-st weets</w>
-mix ers</w>
-mari o
-ant elope</w>
-writing community</w>
-went z</w>
-den ham</w>
-be di</w>
-sf o</w>
-harley davidson</w>
-look book</w>
-immuno therapy</w>
-or phe
-es ville</w>
-ed ged</w>
-tas k
-sb ball</w>
-corro sion</w>
-kilom eters</w>
-co sting</w>
-play back</w>
-ke ke</w>
-di visi
-u ter
-re location</w>
-yel led</w>
-pen g</w>
-up beat</w>
-ser ve
-âļ ł</w>
-hal en</w>
-stir ring</w>
-reh man</w>
-en v</w>
-schu macher</w>
-frag ment</w>
-alkal ine</w>
-sb k</w>
-resil i
-share point</w>
-rol lover</w>
-tra sh
-counter part</w>
-âĻ «
-ob itu
-à ½
-ãĤ ¹</w>
-mul berry</w>
-ðŁİ Ĩ</w>
-auton omy</w>
-spra ying</w>
-nat l
-love you
-fran ki
-nu k</w>
-esc ar
-can teen</w>
-ali baba</w>
-de plor
-mole cule</w>
-pu d
-fort night</w>
-blon die</w>
-sp hin
-portra yal</w>
-ta che</w>
-bu te</w>
-consi sting</w>
-freep alestine</w>
-c sp</w>
-im mort
-d ns</w>
-ðŁĴ¥ ðŁĴ¥</w>
-tour de
-coo king
-archi val</w>
-ga thers</w>
-bit t</w>
-b anc
-pre mature</w>
-snow ball</w>
-poetry day</w>
-lou dly</w>
-fug itive</w>
-ed ay
-em ra
-ðŁĩ¸ ðŁĩª</w>
-sci en
-node js</w>
-jur gen</w>
-je ong</w>
-band ana</w>
-un is</w>
-fox sports</w>
-v andy
-pro visions</w>
-wee p</w>
-tu k
-i ko</w>
-h oun
-zig gy</w>
-z r</w>
-fil let</w>
-bat a</w>
-tin k
-con e
-we want
-k ilo
-hor ace</w>
-sl t</w>
-sc t</w>
-stay tuned</w>
-victor ia
-umb ria</w>
-att acker</w>
-ingham shire</w>
-fright ening</w>
-no ir
-fr at</w>
-con tempt</w>
-lia ison</w>
-ho i
-br ink
-tr ill</w>
-ni agar
-kick ass</w>
-dun das</w>
-not my
-rho de
-bu mble</w>
-no xi
-fa g</w>
-spec tators</w>
-mancrush monday</w>
-jin ping</w>
-distr act</w>
-dais y
-wal den</w>
-portra it
-ar thistory</w>
-vol tron</w>
-ev el
-is c</w>
-ac m</w>
-r ite
-na o</w>
-de ported</w>
-swe ats</w>
-ru fus</w>
-lo bo</w>
-labor day</w>
-gam o</w>
-ihri thik</w>
-bl it
-abdomin al</w>
-ãħ¤ãħ¤ ãħ¤ãħ¤
-i it
-e q
-bu sy
-allu arjun</w>
-un disclosed</w>
-de ton
-pro create</w>
-ki l</w>
-ðŁİĤ ðŁİĤ
-mitch ell
-ki i</w>
-inherit ance</w>
-al p</w>
-jo burg</w>
-pat rolling</w>
-compul sory</w>
-un signed</w>
-ni am
-l ga</w>
-eshop suk</w>
-tr illi
-ma w
-appreci ating</w>
-rock ab
-mañ ana</w>
-an tal
-mal vern</w>
-roy o</w>
-grand prix</w>
-sut ton
-go ftheday</w>
-dig i</w>
-ãħĭãħĭ ãħĭãħĭ
-t les</w>
-varan asi</w>
-erec ted</w>
-discip les</w>
-cont act
-ðŁĺ µ</w>
-li d
-⬠ĩ</w>
-scen tre</w>
-radi ator</w>
-ing tips</w>
-trans itions</w>
-thursday motivation</w>
-chem ical
-separ ati
-sal is</w>
-mi m</w>
-geo graphical</w>
-book fest</w>
-/ .</w>
-âľ ĭ
-v ae</w>
-cur rie</w>
-ag garwal</w>
-acceler ation</w>
-the ses</w>
-lg m</w>
-u mass</w>
-pro portions</w>
-nat a</w>
-ani ans</w>
-ku ch</w>
-be acons</w>
-ap r
-@ #</w>
-ðŁĴª ðŁı¾</w>
-nu ke</w>
-sher aton</w>
-ki o</w>
-ma kati</w>
-polit ico</w>
-mor ale</w>
-ì Ļ
-econom ically</w>
-gg ly</w>
-ss en
-pa stries</w>
-intern ships</w>
-vic ente</w>
-fanta ken</w>
-aveng ers
-accu se</w>
-slee pover</w>
-indic ated</w>
-the dream</w>
-ster one</w>
-ren ders</w>
-fro st
-ou i</w>
-gre gg
-d ore</w>
-⾨ ⾨⾨</w>
-pu gs</w>
-sat y
-nu mb</w>
-hems worth</w>
-tam i</w>
-la ssic</w>
-schi ff</w>
-igle sias</w>
-ag awa</w>
-] "</w>
-re shi</w>
-game stop</w>
-divor ced</w>
-theat er
-clau di
-un conventional</w>
-prophe ts</w>
-ac in
-twel f
-tow ering</w>
-t ml
-sc lerosis</w>
-k wan</w>
-ge ts
-distur b</w>
-na ira</w>
-ener g
-pir acy</w>
-pru itt</w>
-noti fied</w>
-hen na</w>
-bra m</w>
-ground water</w>
-bl s</w>
-opti mis
-$ )</w>
-luci e</w>
-biz hour</w>
-fang irling</w>
-gr ills</w>
-or l</w>
-ver se
-c ina</w>
-law less</w>
-artistson twitter</w>
-tele vised</w>
-marshmal lows</w>
-radio head</w>
-bar r
-m fc</w>
-bre vi
-mmor pg</w>
-g aya</w>
-âĸ «
-sub titles</w>
-j t
-disney land
-to bago</w>
-nh m</w>
-groo ve
-fi awec</w>
-" /</w>
-ba o
-scra bble</w>
-om ni</w>
-ff l</w>
-um c</w>
-si mba</w>
-ali er</w>
-ter rell</w>
-plu me</w>
-mi di
-dig nit
-co c</w>
-bru t</w>
-ad ata</w>
-alche my</w>
-d sm</w>
-ðŁĺĨ ðŁĺĨ</w>
-win try</w>
-spa res</w>
-cu er
-conclu sions</w>
-to ys
-od or</w>
-fl ann
-gar vey</w>
-scrip tions</w>
-inspec tions</w>
-cat ap
-ang lo
-st louis</w>
-heim er</w>
-at ay
-tr ich</w>
-en yc</w>
-chil ds</w>
-vent il
-mont p
-guiller mo</w>
-circu lare
-z ell</w>
-mode led</w>
-craf tsman</w>
-al ina</w>
-stimul ation</w>
-cashe w</w>
-ju das</w>
-best of</w>
-to ire</w>
-susp ends</w>
-scol lege</w>
-real ising</w>
-by tes</w>
-bloo ds</w>
-as si</w>
-ðŁĴ ¿</w>
-o hs</w>
-ðŁį ĭ</w>
-scallo p</w>
-ठµ</w>
-gi fting</w>
-camo gie</w>
-wil kes</w>
-o zzy</w>
-ðŁ¤ ¤
-ver onic
-sav oy</w>
-deme tri
-baby girl</w>
-ðŁĺį ðŁĺŃ</w>
-so x
-cly de
-induc tee</w>
-count down
-self care</w>
-ठľ</w>
-vi ka</w>
-tor re
-phd chat</w>
-pe ars</w>
-aw h</w>
-suff rage</w>
-le sn
-admir ation</w>
-mp p</w>
-shark week</w>
-schul z</w>
-santor ini</w>
-clo ver
-( *</w>
-stras bourg</w>
-ex iting</w>
-so yu
-finger print</w>
-che a</w>
-ãĢ ľ</w>
-vin dic
-song writers</w>
-so a</w>
-prou der</w>
-nam a</w>
-= ))</w>
-simple st</w>
-delici ously</w>
-gil les</w>
-u q</w>
-mn wx</w>
-ep p</w>
-sh un</w>
-ken nel</w>
-fall on
-ðŁIJ £</w>
-sin d
-tra gically</w>
-out es</w>
-modern ism</w>
-co ke
-gy n</w>
-spi on
-âĺ¹ ï¸ı</w>
-le am
-compress or</w>
-apolog ise</w>
-twent yon
-fan atics</w>
-âĻ »
-sco tsman</w>
-sa wa</w>
-ko u</w>
-as er
-ภļ</w>
-welter weight</w>
-phen om</w>
-twick enham</w>
-stri a</w>
-p out</w>
-ka z</w>
-gi am
-cd p</w>
-ho y
-emplo y</w>
-red mond</w>
-ภĦà¸
-sm ere</w>
-trance family</w>
-proto cols</w>
-pie ce
-lu iz</w>
-iter acy</w>
-carl s
-united states</w>
-har med</w>
-phd life</w>
-ch aw
-foot prints</w>
-l é
-cho ker</w>
-z ana</w>
-sli pper</w>
-eric sson</w>
-insul ting</w>
-articho ke</w>
-advis ing</w>
-acquis itions</w>
-op or
-mut ations</w>
-re ar
-ॠģ</w>
-pod cast
-wi ther
-kun g
-íĺ ¸</w>
-win slow</w>
-di apers</w>
-ðŁĵ¸ @</w>
-ec ker
-col lar
-hu ey</w>
-gi ro
-mono gram</w>
-kas ich</w>
-si veness</w>
-malay si
-arom atic</w>
-gre s</w>
-gali leo</w>
-u ji</w>
-rob b</w>
-dr m</w>
-none theless</w>
-as a
-: ></w>
-lo a</w>
-l np</w>
-at work</w>
-ag t</w>
-laksh mi</w>
-pipel ines</w>
-id al</w>
-stre l</w>
-re all
-chain z</w>
-stone wall</w>
-san sk
-ðŁı ´
-pied mont</w>
-hoste ss</w>
-ci u
-t é</w>
-analy ses</w>
-wil helm</w>
-scott y
-rw by</w>
-mosqu it
-use mb
-qu ins</w>
-ðŁij İ
-tu cker
-s conf</w>
-speci fications</w>
-psychi atry</w>
-broo kes</w>
-s ils</w>
-ol af</w>
-de to
-co di
-cli p
-fil th</w>
-womancrush wednesday</w>
-go to
-ang erous</w>
-be ale</w>
-w tc</w>
-paneli st</w>
-ne x</w>
-lar sen</w>
-emili o</w>
-tab leau</w>
-h itters</w>
-conce ived</w>
-americ ani
-or tega</w>
-mar di
-Ñ ĥ
-pain tball</w>
-thir sty
-new yorker</w>
-etis ation</w>
-go ss
-we aker</w>
-u gh
-tro ll
-har ga</w>
-du al
-ght ning</w>
-at ine</w>
-ðŁĺİ ðŁĺİðŁĺİ</w>
-cook out</w>
-pyrene es</w>
-po ss</w>
-authent ication</w>
-sports wear</w>
-yun ho</w>
-kir o</w>
-archi pel
-shen ko</w>
-ren der
-nov ation</w>
-divin ity</w>
-ðŁij £</w>
-su fi</w>
-humb ling</w>
-ge opol
-devote es</w>
-wait ress</w>
-tr ough</w>
-py ro
-i ba</w>
-bl ing
-gra f</w>
-epilo ts</w>
-bt r</w>
-of tball</w>
-bas king</w>
-domin os</w>
-so om
-r ath</w>
-sher yl</w>
-qu el
-astronom ical</w>
-wel d</w>
-track list</w>
-sig nee</w>
-slee pless</w>
-com man
-ch ron</w>
-summ on</w>
-pure michigan</w>
-cri spr</w>
-sli p
-la gi</w>
-ra q
-um u</w>
-thal ap
-char med</w>
-scru mp
-quad copter</w>
-ski p
-peter sen</w>
-mun i</w>
-ðŁĮ ¾</w>
-mon aghan</w>
-tra ys</w>
-ick ed</w>
-canad aday</w>
-te gr
-ï¿ ½</w>
-hot ness</w>
-heavy metal</w>
-ab ar</w>
-gop debate</w>
-az ul</w>
-spider man
-sun flowers</w>
-ľ ë
-web comics</w>
-bar d
-Ð ²
-nichol as
-slu sh</w>
-ram an</w>
-mark ham</w>
-ffici al
-ff ler</w>
-íĬ ¸</w>
-ple ss
-anush ka</w>
-to to</w>
-sk aters</w>
-pro wrestling</w>
-compet es</w>
-ay ala</w>
-myster y
-thr ills</w>
-mp g
-independ ently</w>
-y ul
-imper ative</w>
-formid able</w>
-tire less</w>
-st acking</w>
-ton gues</w>
-mal tese</w>
-pot ts</w>
-mat ti
-char ting</w>
-chill out</w>
-super nova</w>
-ome o</w>
-sky sports
-nu tty</w>
-ðŁĹĵ ï¸ı</w>
-ro han</w>
-insp ired
-concier ge</w>
-ser ra</w>
-ma kk
-gal at
-chi pp
-ye v</w>
-ì £
-reim bur
-op ul
-kimber ley</w>
-i eee</w>
-bre men</w>
-ch itec
-or in</w>
-nak u
-bon kers</w>
-foo ty
-emer gence</w>
-ðŁĨ ĺ</w>
-sti p
-serge i</w>
-zo ey</w>
-ai me</w>
-wou ld
-dy es</w>
-destin y
-vinai grette</w>
-dri er</w>
-circulare conomy</w>
-an archi
-ss r</w>
-sch el
-cin er
-gro om
-determin ing</w>
-gar min</w>
-cal ais</w>
-incarcer ation</w>
-bu kit</w>
-no i</w>
-chelms ford</w>
-mckin ley</w>
-chi pped</w>
-belong ed</w>
-tu mors</w>
-str oud</w>
-mi i</w>
-influen za</w>
-wwen xt</w>
-tun dra</w>
-tele communications</w>
-cat sofinstagram</w>
-t ages</w>
-beat ty</w>
-o du</w>
-ml kday</w>
-oo per</w>
-dang le</w>
-ak ley</w>
-cru mb</w>
-anti gua</w>
-ti mbers</w>
-rou hani</w>
-ðŁĴª ðŁĴªðŁĴª</w>
-ha fi
-... !!</w>
-w cs</w>
-coo p
-sn c</w>
-lit res</w>
-ãĢ Ĭ</w>
-ha z</w>
-co z
-k ant
-green field</w>
-cur ti
-y ale
-flye agles
-what soever</w>
-wor thing</w>
-rou lette</w>
-flyeagles fly</w>
-un da</w>
-a inted</w>
-stand ing
-lusci ous</w>
-h pc</w>
-effic acy</w>
-ash land</w>
-me ghan
-ky wx</w>
-n pr
-bath tub</w>
-ac os</w>
-h ani
-mar cor
-man tis</w>
-da isi
-bo ba</w>
-ab bie</w>
-mu til
-vi al</w>
-spy der</w>
-po z
-g ti</w>
-el fie</w>
-nigh tw
-metro id</w>
-anton i
-mad die
-dh ry</w>
-dar lings</w>
-ten ds</w>
-taek wondo</w>
-atlan ta
-me ow
-chlo e
-ãĥ İ</w>
-ym es</w>
-siber ia</w>
-k con</w>
-gu es
-mar iner</w>
-fac il
-azz le</w>
-[ ...
-han nover</w>
-bav aria</w>
-vir go</w>
-te uk</w>
-u sps</w>
-) #</w>
-wall a</w>
-sam pson</w>
-need less</w>
-ver bally</w>
-hay ley
-bow led</w>
-pi us</w>
-lam pard</w>
-ham string</w>
-vol vo
-road safety</w>
-cho king</w>
-sor bet</w>
-a hem</w>
-healthy food</w>
-brai ded</w>
-horticul ture</w>
-cr ative</w>
-che ek
-ad do</w>
-the force
-ko ko</w>
-schiz oph
-j ie</w>
-w ada</w>
-twentyon epilots</w>
-h bcu</w>
-pro ton</w>
-pau ls</w>
-lou isa</w>
-lat am</w>
-kyr gy
-com pac
-sd k</w>
-sap i
-?? ?
-liber alism</w>
-ep silon</w>
-ai den</w>
-w usa</w>
-spra yed</w>
-baske tball
-kim ono</w>
-blue wave</w>
-ali as</w>
-ë§ Ī
-mug shot</w>
-ce c</w>
-do gre
-ad ora</w>
-ðŁĵ· @</w>
-kra kow</w>
-intrigu ed</w>
-exhau sting</w>
-astron omer</w>
-ven ison</w>
-lady bug</w>
-ci v
-bra e</w>
-us m</w>
-bri be</w>
-acup uncture</w>
-pembro ke</w>
-ke ating</w>
-chi e
-y ad</w>
-t si
-sm i</w>
-see ding</w>
-gate shead</w>
-lis boa</w>
-gy p
-canv ass</w>
-ðŁĶ´ âļªï¸ı</w>
-op i
-ni r</w>
-soci etal</w>
-ly te</w>
-ati es</w>
-c sm</w>
-ar tery</w>
-al in</w>
-aka poor</w>
-abstr acts</w>
-âĢ¦ âĢ¦</w>
-teen wolf</w>
-ne we
-travel gram</w>
-sentim ental</w>
-per ched</w>
-han del</w>
-ho ek</w>
-f ay</w>
-coordin ating</w>
-anim ate</w>
-man ian</w>
-effor t
-jer ky</w>
-f ck
-adri enne</w>
-ma bly</w>
-tra ding
-my el
-spi ro
-sol a</w>
-stor ing</w>
-over drive</w>
-monday morning</w>
-dream team</w>
-pul se
-bon di</w>
-ber nie
-pgat our</w>
-tri poli</w>
-son am
-plat t</w>
-âļ ¡
-ag roup</w>
-îIJ Ĵ
-inv ading</w>
-v cu</w>
-k ell</w>
-ñ os</w>
-un dead</w>
-pod casting</w>
-mercede sam
-mana fort</w>
-cor tex</w>
-que so</w>
-impecc able</w>
-pal mer
-wil doz</w>
-sport sc
-guacam ole</w>
-dispen ser</w>
-cate gori
-stun ts</w>
-per il
-invit ations</w>
-dune din</w>
-xi e
-achi eves</w>
-saf er
-pre ds</w>
-ph an</w>
-knuck les</w>
-k ak</w>
-igno res</w>
-lovemy job</w>
-aru ba</w>
-ound ation</w>
-datac enter</w>
-co vert</w>
-gr ing</w>
-cou ple
-ا ر
-vol i</w>
-mc cle
-arti sans</w>
-lu do
-kal am</w>
-arom a
-under taker</w>
-hu la</w>
-wiz kid</w>
-gu mb
-god frey</w>
-bakers field</w>
-ker n</w>
-engine er
-car ve</w>
-pal in</w>
-guaran tees</w>
-pe bbles</w>
-b ays</w>
-zi eg
-fin k</w>
-â¬ĩï¸ı â¬ĩï¸ı
-down pours</w>
-ro chelle</w>
-rasp berry
-ðŁĺ ®
-gra phies</w>
-stom p</w>
-caf es</w>
-ari zed</w>
-utt ar</w>
-cal vary</w>
-dri e</w>
-crusad er</w>
-bus an</w>
-tux edo</w>
-si u</w>
-seam us</w>
-cul tured</w>
-blan chard</w>
-town house</w>
-ge red</w>
-butter milk</w>
-flu ctu
-roger federer</w>
-hel i</w>
-ðŁ¦ ĥ</w>
-u ous</w>
-ram esh</w>
-mu ppets</w>
-email marketing</w>
-ye ss</w>
-br ice</w>
-ri zio</w>
-pel o
-donnein arte</w>
-u rable</w>
-inve stin
-bump ing</w>
-raji v</w>
-sav a</w>
-thro wer</w>
-fore x
-o hhhh</w>
-th rust</w>
-pull man</w>
-r fid</w>
-sep sis</w>
-le ed</w>
-fri ght</w>
-roun ding</w>
-ne b
-ph ins</w>
-ai sha</w>
-utili zing</w>
-squ ats</w>
-gold smith</w>
-j ic</w>
-bo ks</w>
-vau s</w>
-i po
-exclu sion</w>
-tari ff</w>
-po kes</w>
-min al</w>
-land s
-en force</w>
-washington dc</w>
-or char
-g x</w>
-mar ys</w>
-ey our
-aussi e
-bak ers</w>
-un popular</w>
-latin os</w>
-lar ge
-pu tnam</w>
-bol o</w>
-wa de
-pel o</w>
-di zz
-ob struction</w>
-fla ppy</w>
-weare the
-depend ence</w>
-pajam a</w>
-e te</w>
-y ann
-e wan</w>
-disc la
-a ay</w>
-kar ina</w>
-e ic
-an trim</w>
-w soc</w>
-neg atively</w>
-kai do</w>
-fotogra fia</w>
-dh ru
-colo ssal</w>
-mcle od</w>
-k wang</w>
-mani pu
-ex hilar
-us atoday</w>
-summer slam</w>
-co les
-tapro om</w>
-unbeat able</w>
-de ma
-tic ks</w>
-k ling
-fil s</w>
-campaig ners</w>
-ภķ
-brew ster</w>
-audu bon</w>
-qu ay
-ch s
-ki gali</w>
-d ler</w>
-strength ens</w>
-som al
-sign ingday</w>
-gol ds</w>
-pig ment</w>
-orche stral</w>
-g q
-lin kin
-ðŁı ĩ</w>
-ta w</w>
-algar ve</w>
-ho v</w>
-ear le</w>
-gold fish</w>
-am ig
-ex er
-ben in</w>
-dru id</w>
-ðŁIJ ¸</w>
-she m</w>
-quat tro</w>
-mer cen
-men te
-incorpor ating</w>
-bon anza</w>
-state fair</w>
-en de</w>
-concep tions</w>
-e es</w>
-âĻ¥ï¸ı âĻ¥ï¸ı
-d son</w>
-fire arm</w>
-orb ital</w>
-we h</w>
-multi p
-fo b</w>
-requi em</w>
-p light</w>
-thou se
-sa id
-oc re</w>
-remem brance
-n old</w>
-chi pping</w>
-be v
-er t
-ca thy
-sy m</w>
-ri ggs</w>
-m ley</w>
-dialo gues</w>
-sl ender</w>
-how l</w>
-gau teng</w>
-wd w</w>
-to bi
-smo kes</w>
-im plo
-b pm</w>
-ad n</w>
-mom basa</w>
-cap sul
-bloom field</w>
-artic ul
-cle o</w>
-goog led</w>
-flu ffy
-l ard</w>
-en zyme</w>
-ve sti
-ibra hi
-fl ame
-e mea</w>
-out ages</w>
-dispro por
-ble ak</w>
-an sel
-ick er</w>
-st louis
-stock market</w>
-good friday</w>
-sau lt</w>
-stal led</w>
-pro m
-ep som</w>
-b é
-the se
-sau ces</w>
-me w</w>
-lit fest</w>
-pre d
-re u</w>
-kar ak
-si enna</w>
-ell in</w>
-bio technology</w>
-ï¸ıâĥ£ -</w>
-tac tic</w>
-sa in</w>
-por k
-mon za</w>
-ka j</w>
-lu sh
-compart ment</w>
-chang ing
-shraddha kapoor</w>
-fo al</w>
-ar tem
-cu ando</w>
-can ola</w>
-ori ente
-me sse</w>
-d ited</w>
-br c</w>
-box er
-bbc two</w>
-s st</w>
-ment day</w>
-em ing</w>
-de wey</w>
-kof i</w>
-âŀĸâŀĸ âŀĸâŀĸ
-reali zation</w>
-smo l</w>
-tw ood
-san je
-flag staff</w>
-ber wick</w>
-cor set</w>
-can ary
-whistle blower</w>
-et ched</w>
-com posing</w>
-squee zed</w>
-bow er</w>
-auto desk</w>
-ne h
-mathi eu</w>
-ba ja
-Å Ĥ
-hy dra</w>
-da im
-am eri
-insi sted</w>
-mer lot</w>
-gar ros</w>
-heart news</w>
-gaine sville</w>
-cut ler</w>
-bo de</w>
-ðŁĺī ðŁĺī</w>
-lew es</w>
-scoun try</w>
-g sa</w>
-us u</w>
-cc m</w>
-god awgs</w>
-phara oh</w>
-cra e</w>
-mor ley</w>
-hyp noti
-f ades</w>
-neur ons</w>
-fu zz</w>
-ing co</w>
-high landers</w>
-star k
-vig ne
-pac kets</w>
-amar illo</w>
-reu ben</w>
-insul ts</w>
-bas ic
-vec tor
-n me</w>
-ac ruz</w>
-tro s</w>
-transm itter</w>
-ðŁĺ ŀ
-interpre t</w>
-ðŁĺ ²
-pre quel</w>
-mc gowan</w>
-dis semin
-ðŁĴĺ ðŁĴĺ</w>
-mascul inity</w>
-indie gamedev</w>
-ali ve
-te t
-pe tal</w>
-ema iled</w>
-ar med
-ko o</w>
-he er</w>
-ba ird</w>
-super junior</w>
-metro polis</w>
-delav in
-decl ines</w>
-stit utes</w>
-Û ģ
-p tbo</w>
-g lan
-cho res</w>
-e aling</w>
-chri ssy</w>
-ste mc
-vi an
-assassin ated</w>
-pron ounce</w>
-illeg als</w>
-discover y
-cav ill</w>
-fri fotos</w>
-f al</w>
-so i</w>
-sabot age</w>
-t int</w>
-p dc</w>
-ðŁİīðŁİ Ī
-ãĤ Ĭãģ
-ji o</w>
-endeav or</w>
-in sig
-commit tees</w>
-she arer</w>
-me tz</w>
-mar rying</w>
-h dd</w>
-g by</w>
-fre t</w>
-tri sh
-pu l</w>
-scrip ted</w>
-sa ki</w>
-l w
-ke ye
-shim i</w>
-nan aimo</w>
-ca h</w>
-Ã «</w>
-tem pered</w>
-ici an
-du gg
-dish washer</w>
-air field</w>
-s rugby</w>
-gr inch</w>
-y st
-r ms</w>
-mahat ma</w>
-lan kan</w>
-disc ar
-dige stion</w>
-no des</w>
-l ls</w>
-om ic
-gu tter</w>
-tis garh</w>
-feder ico</w>
-election day</w>
-bo he
-master card</w>
-fire ball</w>
-âľ Ķï¸ı
-oy ster
-p ong
-do k
-en route</w>
-m vc</w>
-beat the
-ali stair</w>
-shu b</w>
-sh aming</w>
-cherno byl</w>
-ghi bli</w>
-the s
-pin ion</w>
-d bs</w>
-sal ts</w>
-ic tion</w>
-epi ph
-nc pol</w>
-in convenience</w>
-whit ley</w>
-inspec ting</w>
-wood ley</w>
-wi ener</w>
-skil let</w>
-no les</w>
-m ca
-h ina</w>
-a sha
-willing ness</w>
-well ness
-tam ed</w>
-show time
-dis advantaged</w>
-ber nat
-us n</w>
-mission aries</w>
-coun selling</w>
-arrog ant</w>
-quant itative</w>
-leg alization</w>
-ho dge</w>
-energye fficiency</w>
-cameron dallas</w>
-pos sessions</w>
-p bb</w>
-harris burg</w>
-v g
-hindu ism</w>
-happy thanksgiving</w>
-fi b</w>
-re acting</w>
-tweeta picture
-pol iti
-mu ppet</w>
-hur rah</w>
-pac e
-coast guard</w>
-guar ded</w>
-as am
-par ry</w>
-fore very
-x q</w>
-oom f</w>
-ke anu</w>
-j ind
-ri st</w>
-customer service</w>
-sac red
-ðŁĺ º</w>
-ton er</w>
-occur rence</w>
-mat u
-val dez</w>
-red d</w>
-is ak
-power rangers</w>
-pe asant</w>
-raj ini</w>
-abra ham
-e mil</w>
-car do</w>
-tr il
-hair styles</w>
-obsole te</w>
-sam pler</w>
-direc tive</w>
-delavin kisses</w>
-ver ton</w>
-glo s</w>
-sp ay
-paler mo</w>
-com ets</w>
-man ziel</w>
-chicag of
-ski pped</w>
-pic torial</w>
-h ant
-b mi</w>
-a ol</w>
-re opens</w>
-pad dling</w>
-devo s</w>
-fra ud
-bas eline</w>
-que ues</w>
-sp ired</w>
-sn are</w>
-eu ve</w>
-descri ptions</w>
-daisi es</w>
-ca ching</w>
-gall eria</w>
-tri mmed</w>
-stin o</w>
-recy cla
-ic ular</w>
-bir ken
-raw lings</w>
-fli x</w>
-chic as</w>
-b gt</w>
-lik eli
-argy ll</w>
-thel ove
-ga ston</w>
-bl anca</w>
-ha k</w>
-f one</w>
-sailor moon</w>
-h aci
-ima c</w>
-fl yn
-de can
-bel les</w>
-ap ic
-zo g</w>
-taun ton</w>
-con stance</w>
-lasag na</w>
-ker nel</w>
-in ka</w>
-har bor
-collec tively</w>
-calcul ated</w>
-av ille</w>
-shil pa</w>
-pur du
-gi mm
-fun er
-a est</w>
-pembroke shire</w>
-nighting ale</w>
-n unes</w>
-hyper tension</w>
-hu bert</w>
-sli ders</w>
-infer tility</w>
-comm ended</w>
-transat lantic</w>
-metr ical</w>
-!! @</w>
-Å Ł</w>
-ss g</w>
-bac ca</w>
-inver ted</w>
-fun factfriday</w>
-it ans</w>
-albu m
-acqu ainted</w>
-ri er
-whel an</w>
-sar ab
-mu e</w>
-snoo ze</w>
-pi ff</w>
-agre eing</w>
-sp itting</w>
-jer maine</w>
-n ye
-âľı ï¸ı</w>
-am bush</w>
-ze ph
-con greg
-univers ity
-s app</w>
-wann abe</w>
-pat rice</w>
-ib d</w>
-do glo
-fri dges</w>
-sun d</w>
-king ston
-ar gon
-kam en</w>
-hardro ck</w>
-ds ley</w>
-do lores</w>
-ì °
-ota ku</w>
-pi ping</w>
-be having</w>
-âŃIJï¸ıâŃIJï¸ı âŃIJï¸ı</w>
-blue bird</w>
-an sari</w>
-teapo t</w>
-fire work</w>
-cro p
-log ans</w>
-ty ped</w>
-thick ness</w>
-ig ers
-c fp</w>
-dys functional</w>
-contra sting</w>
-et ty</w>
-aston martin</w>
-tx st</w>
-dra grace</w>
-at tributes</w>
-marath on
-manu scripts</w>
-john stone</w>
-ðŁĺ± ðŁĺ±</w>
-bo er</w>
-ay u</w>
-aru gula</w>
-poo rest</w>
-con du
-assu mption</w>
-anag h</w>
-no h</w>
-delav in</w>
-sit ter</w>
-g ö
-mor ow</w>
-kick start</w>
-com i
-gl acial</w>
-ghe ad</w>
-ba in
-ker shaw</w>
-en dof
-fre ud</w>
-om at
-i af</w>
-hu g
-sign up</w>
-each other</w>
-defin ite</w>
-tu bing</w>
-shak ira</w>
-ðŁijı ðŁı½
-uu uu</w>
-sw in</w>
-sham bles</w>
-ol as</w>
-sk ell</w>
-brit ain
-kn w</w>
-clu tter</w>
-om y
-j ens</w>
-hang ed</w>
-city scape</w>
-scra ps</w>
-un locking</w>
-dead liest</w>
-er no</w>
-breast cancer
-a it</w>
-inspec t</w>
-fu ri
-ðŁĴ Į</w>
-ku d
-ju le
-or ah</w>
-mi ds</w>
-m dt</w>
-bur gring</w>
-r attle
-pu sa</w>
-stal k
-cle ans</w>
-iss ance</w>
-z ek</w>
-worth it</w>
-nam eis
-musko ka</w>
-council man</w>
-urban art</w>
-bar rac
-un solved</w>
-tu l</w>
-g ita</w>
-white board</w>
-soy beans</w>
-em ent
-cont i</w>
-saturday motivation</w>
-conveni ently</w>
-doc king</w>
-t ado</w>
-âı ©</w>
-sp ino
-puppy love</w>
-po f
-fabric ated</w>
-robb ers</w>
-adop ts</w>
-ti fied</w>
-kk r</w>
-indulg ence</w>
-notic eable</w>
-macqu arie</w>
-chap el
-sensu al</w>
-ki ko</w>
-melan oma</w>
-lore tta</w>
-li ance</w>
-ab en
-sp lus</w>
-ga al</w>
-ac ele
-lib dems</w>
-compar isons</w>
-ðŁĮ µ</w>
-rhy thms</w>
-mer y</w>
-en capsul
-nap ier</w>
-ðŁijĮ ðŁijĮðŁijĮ</w>
-ðŁij IJ</w>
-plat z</w>
-fre sno
-re formed</w>
-ran bir</w>
-el it
-the best
-bhu shan</w>
-vin nie</w>
-impro vised</w>
-s ittin</w>
-re created</w>
-e ba</w>
-ec ker</w>
-ac rob
-pon te</w>
-cor d
-gi ddy</w>
-eur usd</w>
-fe ver
-intu ition</w>
-gar i
-dum mies</w>
-bud weiser</w>
-amend ments</w>
-te tra
-sch nit
-ay as</w>
-mar ys
-ci st</w>
-k ani
-ker mit</w>
-ðŁĺ±ðŁĺ± ðŁĺ±</w>
-tin ker</w>
-strol ling</w>
-di visional</w>
-niger i
-omin ous</w>
-menstru al</w>
-kar ab
-k hy
-bw fc</w>
-pan handle</w>
-l illi
-well er</w>
-stra pped</w>
-son the
-transfer ring</w>
-ethe real</w>
-sne aks</w>
-ru dol
-gab les</w>
-jac king</w>
-cin code
-for tune
-canadi ens</w>
-con for
-ab normal</w>
-frank lin
-tit a</w>
-mu la</w>
-persi st</w>
-cu ties
-ki el
-ðŁĩ± ðŁĩ
-her mann</w>
-aw k</w>
-fi asco</w>
-ko to
-we ta</w>
-hi ker</w>
-budd y
-preven tive</w>
-mcgra w</w>
-game boy</w>
-forsy th</w>
-top shop</w>
-si ob
-sad h
-in tram
-follow art</w>
-so aps</w>
-dragon ball
-ou x
-morri son
-๠ĥ
-lu bric
-adul thood</w>
-morri sons</w>
-âļ łï¸ı
-her mo
-ta ka</w>
-stall one</w>
-mis use</w>
-team gb</w>
-ra gha
-con fined</w>
-at y
-hom ophobic</w>
-nw o</w>
-sky news</w>
-ho ya</w>
-ac rosse</w>
-wi iu</w>
-pur ée</w>
-jed dah</w>
-ðŁ¤ §</w>
-advis ers</w>
-ph ine</w>
-an is
-scrump tious</w>
-ë° ķ
-c ke</w>
-vin y
-ter m
-s dc</w>
-o do</w>
-home school</w>
-vas c</w>
-leop ards</w>
-debor ah
-illic it</w>
-cur ran</w>
-as roma</w>
-nau ght</w>
-mar ig
-brand i</w>
-em p</w>
-ðŁĺį ðŁijĮ</w>
-î Į
-su spend</w>
-lu z</w>
-initi ation</w>
-sch aft</w>
-jensen ackles</w>
-craw ler</w>
-post doc</w>
-des ks</w>
-trail blazer</w>
-den omin
-tri x</w>
-no ise
-po et
-± ï¸ı</w>
-s mug</w>
-vol atile</w>
-proof s</w>
-pharmac ist</w>
-sardin ia</w>
-mash able</w>
-kim chi</w>
-co ed</w>
-schal ke</w>
-doo dled</w>
-c sw</w>
-sh ur
-ro x</w>
-do k</w>
-chris brown</w>
-mathemat ician</w>
-ab ound</w>
-ang elic</w>
-rock ford</w>
-d ole</w>
-yor kers</w>
-ms n</w>
-g man
-xavi er
-bor rowing</w>
-mark ings</w>
-longh orn</w>
-k ja
-diver ted</w>
-mm it</w>
-euph oria</w>
-ay yy</w>
-te a
-pa h
-ck i</w>
-un cut</w>
-li ven
-ky ung</w>
-fan art
-mer ing</w>
-red ding</w>
-amo vie</w>
-gri di
-c thulhu</w>
-schol arly</w>
-ju dah</w>
-th bewithyou</w>
-eu calyp
-ðŁIJ ķ</w>
-hert fordshire</w>
-cour troom</w>
-by u
-auc tioned</w>
-ple ase
-mar cia</w>
-ê° ĵ
-succe eded</w>
-el as</w>
-arvin d</w>
-t lot</w>
-saig on</w>
-re tt
-ra kesh</w>
-fd ny</w>
-as en
-se bring</w>
-gladi ators</w>
-you know</w>
-v lad</w>
-gol a</w>
-par ap
-ÑĢ и
-sab cnews</w>
-one team</w>
-oh l</w>
-sun e</w>
-ri j
-cd c
-star gate</w>
-run down</w>
-plat o</w>
-ph c</w>
-chat ter</w>
-ra viol
-mn f</w>
-mand ala</w>
-li et</w>
-ภķ</w>
-mari a
-hun gover</w>
-consoli dation</w>
-fer rell</w>
-tradition al
-ilove art</w>
-gal ap
-ðŁı Į
-que zon</w>
-espa ña</w>
-ðŁĩ¨ðŁĩ Ń</w>
-ho bby
-steam boat</w>
-mali gn
-guil lau
-pro hi
-its me
-íĥ Ģ
-in scription</w>
-al z</w>
-mari an
-k ade</w>
-mm on</w>
-adju sting</w>
-ne sts</w>
-intern ally</w>
-ci r</w>
-vik ram
-mal ala</w>
-k ph</w>
-fel icia</w>
-the real</w>
-cap tivity</w>
-at is</w>
-marcor ubio</w>
-kale ido
-che v</w>
-mano j</w>
-le more</w>
-gent ri
-vi ps</w>
-tro pe</w>
-" âĢĶ</w>
-pair ings</w>
-mal nutrition</w>
-fr ay</w>
-desig nation</w>
-brun omars</w>
-az e
-tor rential</w>
-pan zer</w>
-ga il
-under the
-the ological</w>
-schizoph re
-dazz le</w>
-freder ic</w>
-mo par</w>
-ad illa</w>
-so ggy</w>
-ra un
-medi ocre</w>
-colo rec
-i fe
-p inst
-blu ef
-Â ²</w>
-world water
-gir oud</w>
-clar inet</w>
-ad olf</w>
-tar antino</w>
-receip ts</w>
-assu mp
-ðŁij Ł</w>
-coffe es</w>
-âľĬ ðŁı¾</w>
-du plex</w>
-s of</w>
-r x
-lin o
-timber wolves</w>
-pan dit</w>
-mo tm</w>
-e ga</w>
-ay ama</w>
-ach s</w>
-outsi der</w>
-ll en
-co er
-til ly</w>
-cheese burger</w>
-ma ds</w>
-ple dis</w>
-emp ty
-national parks</w>
-az iz
-p mi</w>
-jun kies</w>
-f ener
-sq n</w>
-è s</w>
-gener ation
-cleop atra</w>
-bhuban es
-mosqu es</w>
-ty free</w>
-popp ins</w>
-tw c</w>
-or well</w>
-n age</w>
-ka whi</w>
-hol low
-dal ai</w>
-¨¨ ¨¨
-ou ro
-m health</w>
-gi on</w>
-az o</w>
-vis as</w>
-reneg ade</w>
-re ic
-w sop</w>
-ðŁĴļ ðŁĴĽ</w>
-e chel
-tox icity</w>
-mü n
-bun k</w>
-stimul ating</w>
-asth our</w>
-\ '</w>
-ep h</w>
-ende mic</w>
-cn bc
-shrin king</w>
-peabo dy</w>
-michel angelo</w>
-can yon
-wal e
-su mi</w>
-si ders</w>
-inu it</w>
-? .</w>
-profession alism</w>
-dr acing</w>
-plat oon</w>
-p ons</w>
-out bound</w>
-maple leafs</w>
-de sol
-cen cy</w>
-a than
-ver ma</w>
-ru bbing</w>
-ok an
-ðŁij ł</w>
-mull ins</w>
-authent ic
-Å į
-alman ac</w>
-ga ia</w>
-bb q
-on imo</w>
-ke h
-ty a</w>
-tou ts</w>
-y av
-re posit
-, .</w>
-wi ght
-se eyou
-cal lof
-done sia</w>
-bar gaining</w>
-gr anth
-sd su</w>
-amphi theater</w>
-p su
-re watching</w>
-wine tasting</w>
-peak district</w>
-dete cting</w>
-thur man</w>
-phe e</w>
-èª ķ
-u mich
-re r
-sculp ted</w>
-go le
-name sake</w>
-ðŁĶ ģ</w>
-serv icing</w>
-bau gh</w>
-pu gh</w>
-pen cil
-dar th
-munch kin</w>
-at orium</w>
-ten ers</w>
-sun y</w>
-rolling stones</w>
-mag ing</w>
-star rer</w>
-i dris</w>
-fe instein</w>
-ag ron
-âĺºï¸ı âĺºï¸ı</w>
-supervis ed</w>
-chamele on</w>
-aggre gate</w>
-succe ssive</w>
-mo gul</w>
-inst yle</w>
-pol dark</w>
-custom e
-ohio state</w>
-ha ya</w>
-ci des</w>
-broker age</w>
-angel ou</w>
-fifa wwc</w>
-de forestation</w>
-al ton
-pam ph
-hu gged</w>
-ho bo</w>
-change able</w>
-ku ber
-bur roughs</w>
-demon etisation</w>
-cape cod</w>
-vers atility</w>
-or ice</w>
-le ila</w>
-womenin science</w>
-tu a</w>
-he dges</w>
-embarrass ment</w>
-ali fe
-so ars</w>
-ni ghter</w>
-hy mn</w>
-gi pp
-chas u
-tech s</w>
-ni all
-k illa</w>
-hi ka</w>
-cam els</w>
-valu e
-Â ¢</w>
-sc oops</w>
-mah moud</w>
-clu sive</w>
-adri ana</w>
-pac o</w>
-oz il</w>
-un as</w>
-transl ations</w>
-whispe rer</w>
-s bi</w>
-bu xton</w>
-bio tics</w>
-indi ffe
-ken ney</w>
-k lar
-et ching</w>
-barra best</w>
-inst ability</w>
-se ine</w>
-vo tel
-blo gged</w>
-whis key
-my space</w>
-t ant
-lan dia</w>
-give back</w>
-illu s</w>
-aw ak</w>
-ac ab
-f bloggers</w>
-cloud computing</w>
-blat ant</w>
-syri ans</w>
-band ra</w>
-sty n</w>
-an em
-ke ted</w>
-kar thik</w>
-barun sob
-pin ot
-gu bernat
-gay e</w>
-arti ste</w>
-i fied</w>
-conven tions</w>
-hu an</w>
-geni uses</w>
-eeee ee</w>
-fol ly</w>
-somer ville</w>
-pride month</w>
-ðŁĩºðŁĩ¸ ðŁĩºðŁĩ¸</w>
-chemo therapy</w>
-paul s
-bak ar</w>
-ìĦ¸ë¸ IJ</w>
-taiwan ese</w>
-fol lo
-c ss
-re ign
-nn nn</w>
-fla un
-catastro phe</w>
-iti es
-frag ments</w>
-extre mists</w>
-ym oun
-car men
-eze kiel</w>
-conne cting</w>
-se h</w>
-man ta</w>
-remodel ing</w>
-we ymouth</w>
-at oms</w>
-ce m</w>
-ne well</w>
-lu mi
-the open</w>
-mo c
-mili band</w>
-g land</w>
-z shq</w>
-mag gie
-mani acs</w>
-m sp
-ad y
-cre ams</w>
-le anne</w>
-e sta
-py g
-af finity</w>
-pray er
-dun bar</w>
-ligh troom</w>
-ac adi
-wyn onna
-roman tic
-state dept</w>
-sick le</w>
-wh os
-lam o
-et our</w>
-fin ity
-shru b</w>
-shar pen
-pun dit</w>
-ed on</w>
-af ore
-mar s
-jeff ery</w>
-ter ps</w>
-medal list</w>
-kath arine</w>
-accu sing</w>
-ta z
-roy d</w>
-from home</w>
-confron tation</w>
-alle gh
-ðŁijī ðŁijī</w>
-refresh er</w>
-ran veer</w>
-never land</w>
-jo jo
-lu crative</w>
-en am
-ca ver
-pa edi
-man jaro</w>
-flu ids</w>
-the ssal
-oppre ssed</w>
-mu ss
-joh anna</w>
-Ø ®
-cn g</w>
-buil dthe
-sett les</w>
-s ith</w>
-fu ego</w>
-cl amp</w>
-ar ag
-pay er</w>
-ted x</w>
-mand y
-inter stellar</w>
-fr c</w>
-ch and</w>
-b cc</w>
-mo lo
-len til</w>
-johan sson</w>
-grims by</w>
-nature lovers</w>
-ðŁļ¨ ðŁļ¨ðŁļ¨</w>
-shin de</w>
-x in</w>
-international dayof
-transiti onal</w>
-sat a</w>
-cad dy</w>
-wo d</w>
-if u</w>
-ha ys</w>
-holl yo
-j ang
-ir c</w>
-co im
-grad able</w>
-" "
-ðŁį ´
-ঠ¾</w>
-a el
-n yo
-west lake</w>
-time out</w>
-sof i
-phenom ena</w>
-cultiv ation</w>
-ag no
-un armed</w>
-so t
-con j
-gen o
-royal navy</w>
-nutriti on
-fair mont</w>
-ti relessly</w>
-sn g</w>
-re ty</w>
-mic a</w>
-lu cent</w>
-slo ane</w>
-droo l</w>
-riz al</w>
-od ell</w>
-critici zed</w>
-. '"</w>
-la ze</w>
-deser ted</w>
-co der</w>
-pra s</w>
-l illian</w>
-itiner ary</w>
-dav y</w>
-an ap
-whi pping</w>
-hobo ken</w>
-kare ena</w>
-çľ Ł
-vi us</w>
-ter n
-nan tucket</w>
-mis understood</w>
-bu laga</w>
-st ant
-chin ook</w>
-z am</w>
-reli es</w>
-d ss</w>
-ed mond</w>
-sket chy</w>
-m ell</w>
-fe x
-rec tor</w>
-dist ill
-day dream</w>
-wine maker</w>
-ri pley</w>
-billion aires</w>
-hel ene</w>
-ati f</w>
-cul prit</w>
-bertr and</w>
-wou ldnt</w>
-ma pped</w>
-v ak</w>
-gla dly</w>
-parliam ent
-kidlit art</w>
-ware ness
-goli ath</w>
-âĨ ĵ</w>
-view point</w>
-tat ted</w>
-fu ls</w>
-dor sey</w>
-ang lers</w>
-li ds</w>
-ki ya</w>
-bow les</w>
-be h</w>
-b ite</w>
-compati bility</w>
-ance stral</w>
-pro x
-beha ved</w>
-gubernat orial</w>
-ch field</w>
-sab an</w>
-z h</w>
-teen y</w>
-shibu ya</w>
-holli day</w>
-pan cy</w>
-âĿĦï¸ı âĿĦï¸ı
-seun gri</w>
-? ,</w>
-ðŁĩ¦ ðŁĩ·</w>
-im itation</w>
-impac tful</w>
-any i</w>
-gene vie
-añ os</w>
-bate man</w>
-gli der</w>
-af ar
-ra sheed</w>
-effor tless</w>
-sh war</w>
-dach sh
-er un</w>
-at os</w>
-kin i</w>
-ch d</w>
-kha ki</w>
-k lin</w>
-felici dades</w>
-bel o</w>
-as l</w>
-to ppers</w>
-fin ley</w>
-stac ey
-rigor ous</w>
-kar ting</w>
-le ppard</w>
-car michael</w>
-be ret</w>
-c se</w>
-ak hi
-mer ingue</w>
-ab an
-ha ke
-ger i
-er jee</w>
-re sto</w>
-comm anders</w>
-pr it
-fl or</w>
-ad ven
-ex termin
-remain der</w>
-å IJ
-es g</w>
-martin o</w>
-lulla by</w>
-| @</w>
-mi gn
-in store</w>
-big bang
-cor di
-cau ley</w>
-ante bellum</w>
-dg ate</w>
-cro ck
-span dex</w>
-scaf folding</w>
-ore os</w>
-ê°ĵ ìĦ¸ë¸IJ</w>
-pom ona</w>
-ma uro</w>
-uni versi
-re mi</w>
-af ootball</w>
-t ant</w>
-sm alls</w>
-ne h</w>
-worl do
-tropic al
-mor ph</w>
-jav elin</w>
-gla r</w>
-arqu itec
-reminis cent</w>
-tu bs</w>
-spide y</w>
-make u
-syl la
-progressi ves</w>
-blo t</w>
-shor ten</w>
-keep in</w>
-ch ak</w>
-ang st</w>
-super food</w>
-decad ent</w>
-ston y
-neuro logical</w>
-ar boretum</w>
-ann ak
-fe ma</w>
-per cu
-dis respectful</w>
-small biz
-lo x</w>
-co om
-c sc
-bs bi
-pre valence</w>
-him ss</w>
-esp an
-mo ga
-fr ampton</w>
-sky map</w>
-mas se
-levi athan</w>
-( ).</w>
-noctur nal</w>
-car ameli
-ang or</w>
-amne sia</w>
-outsi ders</w>
-she alth
-rhin o
-ant ag
-ag io</w>
-ðŁĴ° ðŁĴ°
-take me
-kab addi</w>
-c si
-m sh
-coch rane</w>
-thessal oni
-sil a</w>
-ha us
-du sting</w>
-obe se</w>
-mack lemore</w>
-mani sh
-len in</w>
-m dc</w>
-gro wn
-shef field
-s rs</w>
-ke le
-car son
-ch um</w>
-dah lia</w>
-can tore</w>
-opp o</w>
-how ling</w>
-cyber crime</w>
-sur realism</w>
-sc ran
-fa iz
-thre n</w>
-rac ists</w>
-r out</w>
-pk not</w>
-se mana</w>
-sin i
-mc cull
-ma chi
-alfon so</w>
-y b
-sar dar</w>
-kend rick
-den g</w>
-reci pro
-on f</w>
-doom sday</w>
-bri bery</w>
-custom iz
-art is</w>
-c pi</w>
-ðŁĻĪ ðŁĻĪ</w>
-sla va</w>
-let te
-en s
-âĿ¤ï¸ı ðŁĺĺ</w>
-cra yon</w>
-ad an</w>
-tr c</w>
-migr ate</w>
-simp son
-row ers</w>
-king sley</w>
-farmers market</w>
-shee han</w>
-ne phe
-bor non
-car ton</w>
-mic key
-all ure</w>
-u lu
-sli pknot</w>
-heb do</w>
-gui do</w>
-dog celebration</w>
-online marketing</w>
-acceler ating</w>
-) ..</w>
-origin ated</w>
-macar oni</w>
-ed tech
-out field</w>
-mit z
-disc us</w>
-adverti ser</w>
-man or
-ha shi</w>
-descri p
-cap ita</w>
-ful bright</w>
-recep tor</w>
-con n
-con ey</w>
-spion age</w>
-r attle</w>
-pre st
-u li
-blog post</w>
-acker ay</w>
-) âĢ¦</w>
-red velvet</w>
-mat th
-inspir ing
-b sd</w>
-ker ri
-po con
-mil lar</w>
-re pur
-accent ure</w>
-ä ¹
-ram bo</w>
-ragnar ok</w>
-dele ting</w>
-british museum</w>
-pat ory</w>
-leip zig</w>
-flori an</w>
-sci fi
-in ers</w>
-br ate</w>
-yo y</w>
-melis sa
-ab er</w>
-ma sa</w>
-po te</w>
-mosquit oes</w>
-transpl ant
-r pa</w>
-; ))</w>
-bast ille</w>
-yl an</w>
-joye ux</w>
-melo dic</w>
-cap tions</w>
-atri st</w>
-roch dale</w>
-gott i</w>
-pew die
-cuties aturday</w>
-who is
-aqu aculture</w>
-tiv a</w>
-sp el
-he ss</w>
-ha ji</w>
-fred die
-co per
-brand o</w>
-v k</w>
-photo book</w>
-* ,</w>
-my dayin
-micha ela</w>
-brune i</w>
-sr ini
-in te</w>
-Ä ±</w>
-de ol</w>
-d fc</w>
-separ ately</w>
-bun d</w>
-ve sts</w>
-to c
-me ck
-rein forced</w>
-constra ints</w>
-car roll
-sq ft</w>
-re ver</w>
-cam per
-bird man</w>
-in action</w>
-gener ators</w>
-triumph ant</w>
-pe sts</w>
-o vo
-gy pt</w>
-al amo
-sc aled</w>
-suresh pp
-sd n</w>
-is mo</w>
-gi os</w>
-) @</w>
-justic eleague</w>
-restaur ant
-gab i</w>
-den gue</w>
-next gen</w>
-exemp li
-ap ex
-inspir ational
-down side</w>
-kid z</w>
-u pl
-et na</w>
-alvar o</w>
-fel dman</w>
-bar net</w>
-m ha</w>
-es ch</w>
-bloo ded</w>
->>>> >>>>
-kan i</w>
-ho fficial</w>
-casablanc a</w>
-bir ds
-ty ga</w>
-sw amp
-o day</w>
-new castle
-nb ap
-ci sion</w>
-cho ols</w>
-af lo
-ne p</w>
-mon ton</w>
-ak b</w>
-super model</w>
-down time</w>
-th os</w>
-sc wx</w>
-snoo py</w>
-ag greg
-yo ke</w>
-nor cal</w>
-we tt</w>
-prolon ged</w>
-me tast
-beat er</w>
-f ta</w>
-t lap</w>
-disgu sted</w>
-y h</w>
-voice over</w>
-itch y</w>
-ip c</w>
-ðŁİ ¾
-phe asant</w>
-stra its</w>
-ram pant</w>
-j g
-fer til
-assu res</w>
-fortun es</w>
-sal inas</w>
-liz ards</w>
-kett le
-i bs</w>
-cyn thi
-he g
-mc cr
-soccer oos</w>
-happen ings</w>
-cor den</w>
-ðŁĺĤ ðŁijĮ</w>
-t ches</w>
-egre t</w>
-wolver ines</w>
-congratul ated</w>
-ho gg</w>
-bott ling</w>
-wr i</w>
-fer ri
-bo sch
-af ire</w>
-og den</w>
-s jo
-j dm</w>
-sv t</w>
-con tex
-tol lywood</w>
-min k</w>
-me se</w>
-super sonic</w>
-op oulos</w>
-å ¸
-âĶ ģ
-knuck le</w>
-gu ise</w>
-gam i</w>
-chu cky</w>
-z inger</w>
-radi al</w>
-compla ined</w>
-bo da</w>
-fe tal</w>
-discipl ines</w>
-cor ro</w>
-ðŁĩ®ðŁĩ ¹
-op ted</w>
-filtr ation</w>
-ad nan</w>
-em cee</w>
-mi stre
-insom ni
-fer gus</w>
-tra jec
-on don
-med tech</w>
-tanger ine</w>
-madra s</w>
-gru e
-cab s</w>
-z hu
-sureshpp rabhu</w>
-insul ated</w>
-day swild</w>
-pp m</w>
-band ai</w>
-v day</w>
-s ff</w>
-squ id
-lo thing</w>
-not dead</w>
-expre ssive</w>
-cu ll</w>
-ala stair</w>
-x u
-up front</w>
-fish ers</w>
-en es</w>
-um d</w>
-dis missal</w>
-sti er</w>
-sel s</w>
-lu st
-re active</w>
-prote ster</w>
-eyel ashes</w>
-al im
-goo de</w>
-gre eng
-da ir</w>
-com pen
-anush ka
-proto typing</w>
-ma pu
-bear ings</w>
-ðŁIJ Ł
-for me</w>
-bsbi botany</w>
-timo thy
-out skirts</w>
-am bed
-are tha</w>
-wend ell</w>
-stre aks</w>
-ni m</w>
-k pk</w>
-sne e
-fit ter</w>
-quo ta</w>
-p ate</w>
-win ning
-ðŁį Ń</w>
-sho pping
-ma inst
-cul ver</w>
-ste vie
-mcfad den</w>
-counter parts</w>
-gren fell</w>
-fol som</w>
-dor set
-tech crunch</w>
-⬠ħï¸ı</w>
-tip tuesday</w>
-us l</w>
-tre x</w>
-geor gie</w>
-ranveer official</w>
-lic ks</w>
-se wn</w>
-k f</w>
-' âĢ¦</w>
-jap s</w>
-p ate
-orth op
-fe sta</w>
-stra s</w>
-mon tal
-hammer smith</w>
-fore most</w>
-wido ws</w>
-mad re</w>
-ite z</w>
-mito chondri
-lig ans</w>
-z ona</w>
-cari bou</w>
-m ss
-andre i</w>
-weather channel</w>
-gh c</w>
-: ...</w>
-ta ft</w>
-awe ather
-al isation</w>
-bru tal
-bliss ful</w>
-nik ola</w>
-mal icious</w>
-q m</w>
-mpg vip</w>
-bro die</w>
-bl itz
-applau d</w>
-dri bb
-v ague</w>
-dog go</w>
-transl ating</w>
-interpre ted</w>
-hat ched</w>
-ge tyour
-benefici aries</w>
-spar ring</w>
-caes ars</w>
-aw illiams</w>
-la hat</w>
-bro ke
-ti mp
-virtu es</w>
-rel ying</w>
-pie tro</w>
-k tn
-ici sts</w>
-pab lo
-lou i
-a ag
-pn pp
-cha st
-pul ses</w>
-fini sh
-usair force</w>
-type writer</w>
-thomp son
-dog s
-ut to</w>
-ãģ į
-sand al</w>
-new ly
-do ge</w>
-z w</w>
-wan kers</w>
-ne gr
-mu cha</w>
-determin es</w>
-black fish</w>
-sk unk</w>
-mu ps</w>
-instru ment
-phy to
-daysto go</w>
-skin ned</w>
-hai der</w>
-con ten
-ðŁIJ¾ ðŁIJ¾</w>
-we iler</w>
-undoub tedly</w>
-chair ing</w>
-wall is</w>
-sh ard</w>
-zind abad</w>
-adul t
-absor ption</w>
-pre sto</w>
-deplo ying</w>
-drum mond</w>
-battle front</w>
-seag ulls</w>
-how dy</w>
-juda ism</w>
-des de</w>
-part ition</w>
-âľ Ŀ
-no logy</w>
-national bestfriend
-lesn ar</w>
-film fare</w>
-co asts</w>
-christen sen</w>
-ac an
-mb u</w>
-co pped</w>
-ru bble</w>
-sw c</w>
-fun nier</w>
-far ther</w>
-where as</w>
-nano technology</w>
-with stand</w>
-pil low
-bow ers</w>
-to pe</w>
-it ly</w>
-con fit</w>
-ma kar
-comfor ts</w>
-bo sh</w>
-cli pper</w>
-bal la
-sti k</w>
-mil b</w>
-safe guard</w>
-musi que</w>
-eas port
-ya z</w>
-pad ded</w>
-bad er</w>
-fore ign
-chop in</w>
-archi ve
-o ka
-tran sporting</w>
-tml talk</w>
-aj it</w>
-consequ ence</w>
-sc roo
-ff o</w>
-collabor ated</w>
-pug chat</w>
-ye mi</w>
-jav ed</w>
-au burn
-o of</w>
-ma w</w>
-sau cer</w>
-miti gate</w>
-i les</w>
-evangeli st</w>
-ter ie</w>
-re cl
-indic tment</w>
-cat a</w>
-bright ness</w>
-may the</w>
-whim sical</w>
-un lv</w>
-key word</w>
-cu min</w>
-med way</w>
-west world</w>
-tra w
-im posing</w>
-form ity</w>
-coul ter</w>
-ab z</w>
-ny pd
-grass i</w>
-kel sey
-qld pol</w>
-clock work</w>
-f dr</w>
-di anne</w>
-âĺ ij</w>
-ad h</w>
-p ann
-bra vely</w>
-ae ge
-un lawful</w>
-ver di</w>
-pocaly pse</w>
-phar o
-kar la</w>
-reson ance</w>
-ma stiff</w>
-la dak
-bu u
-ma iled</w>
-hi i</w>
-craw ley</w>
-tor rent</w>
-mach ado</w>
-liby an</w>
-effort lessly</w>
-fal sely</w>
-q vist</w>
-ke ef</w>
-craf thour</w>
-cheri shed</w>
-val kyrie</w>
-s ari
-kal amaz
-be he
-ðŁĮ Ļ
-th im
-ro ddy</w>
-col trane</w>
-but chers</w>
-ach im</w>
-wk end</w>
-awk ward
-cab rera</w>
-:) )))</w>
-fran c</w>
-decl an</w>
-con dos</w>
-a ja
-pandor amusic</w>
-char ter
-ph ill
-mon trose</w>
-hatch back</w>
-handic app
-gre aves</w>
-eucalyp tus</w>
-ut most</w>
-t son
-bur ton
-mid wives</w>
-in cur
-ðŁĺį #</w>
-moo d
-compre ssed</w>
-tom a
-must ang
-mo g</w>
-as ana</w>
-te stic
-sho tel</w>
-in sol
-cor sair</w>
-nh q</w>
-ben ny
-sm ma</w>
-kap ur</w>
-in con
-jon as
-ener gies</w>
-don al
-as ad</w>
-se z</w>
-n pa</w>
-archi ved</w>
-stimul ate</w>
-do p
-hy d</w>
-gri eving</w>
-ãĥ Ī
-ron a</w>
-why te</w>
-tree house</w>
-ss ell</w>
-sand ro</w>
-ko bo</w>
-ther most
-se clu
-hi ya</w>
-ge ez</w>
-mam as</w>
-prisc illa</w>
-flav oured</w>
-fas s
-w old</w>
-maker space</w>
-cospla y
-p tv</w>
-happy valentinesday</w>
-sequo ia</w>
-love craft</w>
-gu an</w>
-d tm</w>
-ci i</w>
-yoko hama</w>
-pos thum
-re q</w>
-ðŁĶµ âļªï¸ı</w>
-galat asar
-dol by</w>
-hamp tons</w>
-disturb ance</w>
-stone henge</w>
-ok c
-disrup ting</w>
-month sary</w>
-jun gle
-head lights</w>
-du stin
-micro sof
-happy mothersday</w>
-ko ko
-gra zi
-te sto
-na idu</w>
-mal ay</w>
-ari al</w>
-ru mb
-ab oo</w>
-har man</w>
-tra pe
-spo ils</w>
-je ho
-go dly</w>
-lock screen</w>
-z un
-pi ous</w>
-ma gento</w>
-l enders</w>
-prob able</w>
-corpor al</w>
-m our</w>
-aw al
-su a</w>
-call me
-ton ne</w>
-go vin
-devast ation</w>
-x j</w>
-gear box</w>
-war lock</w>
-per me
-it ate</w>
-gaza underattack</w>
-du val</w>
-paras ite</w>
-clement e</w>
-le th</w>
-i va</w>
-fro zen
-tho les</w>
-to bin</w>
-cair n</w>
-s ill
-luc kiest</w>
-conver ts</w>
-st ale</w>
-pan cra
-euro pale
-wis dom
-sch ur
-ì ¶
-verti go</w>
-bi j
-u bc
-nu re
-righte ousness</w>
-mt c</w>
-factor y
-ver st
-revers ed</w>
-hur i</w>
-hee chul</w>
-fab er</w>
-ar r</w>
-ul ous
-ven om
-ph at</w>
-green ery</w>
-bra dy
-Ã ¦
-: ((</w>
-never giveup</w>
-di sha</w>
-mo ta</w>
-health care
-dun ham</w>
-dex po</w>
-den zel</w>
-bb ins</w>
-f ics</w>
-wh am
-mc g
-eli an</w>
-wat a</w>
-str alia</w>
-tel lu
-pe sky</w>
-spin off</w>
-ar moured</w>
-re acted</w>
-do fficial</w>
-te du</w>
-sag ar</w>
-mor ally</w>
-paralle led</w>
-fi os</w>
-dow ner</w>
-dau gh
-re do</w>
-world cup
-tari q</w>
-bar ne
-glaci ers</w>
-oc cult</w>
-barbar ian</w>
-her mosa</w>
-!! !)</w>
-y ur
-inter nation
-p ss</w>
-sit u</w>
-p int
-american air</w>
-sw am</w>
-dopp ler</w>
-ðŁĴĻ ðŁĴľ</w>
-cincode mayo</w>
-le van
-hell enic</w>
-mc ne
-ju di
-yu h</w>
-st x</w>
-qu are</w>
-ðŁĺĤ .</w>
-sti g</w>
-g els</w>
-mot ley</w>
-hard work
-euro zone</w>
-e ad
-ç¥ Ń</w>
-seab ir
-ci us</w>
-la id
-alpac a</w>
-presu mably</w>
-pewdie pie</w>
-boo ted</w>
-am ari
-tam ine</w>
-sol ace</w>
-bar row
-acade mies</w>
-x ian</w>
-om ination</w>
-dun geons</w>
-b ma</w>
-de ity</w>
-ai k</w>
-stab il
-hir a</w>
-affection ate</w>
-ving ne</w>
-new port
-ãħĭ ãħĭ</w>
-thir ds</w>
-re tains</w>
-aroma therapy</w>
-ski er</w>
-ni ma</w>
-do pe
-cr inge</w>
-con domin
-to or
-anim ator</w>
-sar aj
-seas cape</w>
-minim alism</w>
-lake shore</w>
-calla way</w>
-berg man</w>
-ठĹ</w>
-whisp ering</w>
-stupi d
-ri ghtful</w>
-requ is
-ir n</w>
-se va</w>
-ut pol</w>
-tuber culo
-squ ish
-de but
-govern mental</w>
-christ ine
-all man</w>
-weap on
-s ito</w>
-bur i</w>
-lo lita</w>
-leaf y</w>
-fu ch
-tin ted</w>
-mck en
-a hahaha</w>
-ðŁĩµðŁĩ ¹</w>
-repe al
-ne gan</w>
-ðŁķ Ĭ
-tail gating</w>
-game insight</w>
-ðŁıŁ ï¸ı</w>
-yaku za</w>
-z t</w>
-ti ring</w>
-pro posing</w>
-bow lers</w>
-tra itors</w>
-ak shi</w>
-cler gy</w>
-cit o</w>
-up sets</w>
-tu scal
-symph onic</w>
-sil ently</w>
-shu ff
-black well</w>
-ðŁĺĤ )</w>
-ko be
-rober to
-ri dg
-dc u</w>
-mer ino</w>
-ft p</w>
-east side</w>
-. ~</w>
-nb l</w>
-mn leg</w>
-ts for
-frau dul
-ca pping</w>
-in my
-gymna st</w>
-ston es
-ss in</w>
-twe aks</w>
-shag gy</w>
-oak land
-dem sin
-sang ria</w>
-mm va</w>
-hen nessy</w>
-down ton</w>
-ri ghtly</w>
-in it</w>
-aga ve</w>
-ob last</w>
-northe ast
-friend ship
-dal a</w>
-tro phy
-ðŁij ½
-mag in
-margar itas</w>
-ê ·
-ww fc</w>
-fa sh
-di ke</w>
-cu d
-char t
-ðŁij ®
-refuge es
-jop lin</w>
-n cs</w>
-imp y</w>
-firm ware</w>
-pas cu
-flam in
-health tech</w>
-bell letstalk</w>
-w aka</w>
-ol ls</w>
-la go
-co wan</w>
-bombar dier</w>
-sh ome</w>
-ðŁĻ ħ
-mc master</w>
-na ve
-well s
-u ta
-tell ers</w>
-mis fits</w>
-kap il</w>
-face off</w>
-af firm
-a pro
-whit epaper</w>
-super yacht</w>
-speci mens</w>
-al located</w>
-... ,</w>
-- __
-ka w</w>
-dachsh und</w>
-djo ker
-s work</w>
-qui ere</w>
-or um</w>
-ðŁIJ ł</w>
-som m
-c mt</w>
-ingh our</w>
-skin ny
-lgb ti</w>
-gi ggles</w>
-break away</w>
-resear ched</w>
-par ity</w>
-my al
-ms l</w>
-re tained</w>
-si vity</w>
-make inindia</w>
-sol ves</w>
-defam ation</w>
-wal tham
-sri racha</w>
-road way</w>
-concep tu
-al in
-iw ant
-å Ī
-del ft</w>
-tender loin</w>
-ga ins
-faul ts</w>
-sw ire</w>
-st ellen
-pol lo</w>
-dy ne</w>
-bornon thisday</w>
-asdf ghj
-sq l
-sali m</w>
-advis es</w>
-vo ip</w>
-ìĹij ìĨ
-un touched</w>
-she il
-ontari o
-uph ill</w>
-so bre</w>
-de shi</w>
-nov ella</w>
-du tton</w>
-craw fish</w>
-ا٠Ĩ
-ma a
-tw ine</w>
-kal in
-ðŁĩµðŁĩ Ń</w>
-ye ss
-brook s
-hoo siers</w>
-ton ka</w>
-umbrel las</w>
-ay ers</w>
-ate am</w>
-acqu iring</w>
-su ction</w>
-ä n
-wi es
-tari ans</w>
-soci o</w>
-mat tb
-shepher ds</w>
-o so
-charity tuesday</w>
-s logans</w>
-ninj as</w>
-al bat
-by te</w>
-bash ir</w>
-trampol ine</w>
-mydayin la</w>
-i ja</w>
-bas el
-ror y
-gol die</w>
-fi rec
-un noticed</w>
-pecu liar</w>
-sch a
-ker son</w>
-mour ns</w>
-liquid ity</w>
-qu ipment</w>
-hi bs</w>
-ar s
-aeron au
-slide show</w>
-sla bs</w>
-delici ousness</w>
-sk itchen</w>
-hta fc</w>
-full erton</w>
-cre ighton</w>
-aer ob
-procrastin ation</w>
-az ores</w>
-white hall</w>
-uss occer</w>
-medi ation</w>
-djoker nole</w>
-and me</w>
-um en</w>
-noxi ous</w>
-jo ss</w>
-ili fe</w>
-anni vers
-sudan ese</w>
-et res</w>
-under mine</w>
-whole foods</w>
-diso be
-kor i</w>
-ade le
-eli z
-can ti
-al on</w>
-gymna sium</w>
-sarko die</w>
-meteoro logist</w>
-yl de</w>
-ste en
-stamp collecting</w>
-nas al</w>
-lo tt</w>
-fran ks</w>
-ex ol</w>
-ack i</w>
-good year</w>
-animal rights</w>
-y les</w>
-vio lets</w>
-mm es</w>
-s thel
-ra pping</w>
-tu scan</w>
-wai ver</w>
-tur ner
-eat local</w>
-northe asthour</w>
-anim ations</w>
-tom morow</w>
-t sh
-ff ame</w>
-bra e
-pe tron
-glam our
-br yn</w>
-d cs</w>
-bal es</w>
-ðŁĶ ¶
-bro v
-bre v</w>
-b ons</w>
-physi que</w>
-car ne</w>
-x e
-elix ir</w>
-vol ved</w>
-l oma</w>
-ìľ ł
-æ ĺ
-van u
-ri gs</w>
-bal ance
-va res</w>
-bon ita</w>
-sprink le</w>
-perfec to</w>
-di on
-le ak
-calcu tta</w>
-o ba
-d ma</w>
-c mon</w>
-tun er</w>
-pneu monia</w>
-bo gus</w>
-apolo ge
-cl ough</w>
-bor ne
-)) ))
-revi ved</w>
-o varian</w>
-ner f</w>
-c legg</w>
-fan fest</w>
-cho u</w>
-reali zes</w>
-mc n
-li gu
-leg alize</w>
-just saying</w>
-for ster</w>
-bo sni
-k hi</w>
-in dom
-hei del
-en cryp
-si ss
-ed di
-mar bles</w>
-brisban e
-y ing
-pre paid</w>
-wal sall</w>
-cooper ate</w>
-orche str
-mar isa</w>
-ho wie</w>
-che wy</w>
-bren ner</w>
-andro meda</w>
-e gan</w>
-sto cki
-cav endish</w>
-ag an
-ban o</w>
-de ir
-go g</w>
-bl k
-re thinking</w>
-ch ig
-rhe u
-sni p</w>
-p eng
-semin ole</w>
-m swx</w>
-an nex
-lyn da</w>
-lewisham ilton</w>
-cu mul
-tb l</w>
-dolph in
-agu ero</w>
-........ ....</w>
-pre lude</w>
-at our</w>
-gr anger</w>
-too ting</w>
-ro tun
-dis ar
-home items</w>
-da res</w>
-**** ****
-ðŁij Ĩ
-compre h
-jin x</w>
-as well</w>
-iri e</w>
-circul ating</w>
-ðŁIJ ¥</w>
-over board</w>
-cultiv ate</w>
-rhe tt</w>
-oriente ering</w>
-ca k</w>
-bal kans</w>
-s itt
-jas min
-britney spears</w>
-ro tor</w>
-se aling</w>
-g bc</w>
-oc ci
-f as</w>
-eman cip
-com er
-war time</w>
-tic kle</w>
-son ny
-pac es</w>
-log g</w>
-at rix</w>
-sr p</w>
-g win
-do bbs</w>
-uz be
-the wanted</w>
-dru sh</w>
-ex tru
-m icky</w>
-honore es</w>
-dar win
-re dux</w>
-mm j</w>
-ram i</w>
-jalape ño</w>
-io c</w>
-do ver
-ju ju</w>
-whit ney
-s eng
-en ly</w>
-au ch</w>
-archipel ago</w>
-vigil ant</w>
-man gal
-wil dest</w>
-parano id</w>
-hal i</w>
-bb ly</w>
-sanc tioned</w>
-real ms</w>
-con co
-u ddin</w>
-c sk</w>
-play time</w>
-libr a</w>
-sav ag
-oc tane</w>
-rec tan
-re turn
-par rish</w>
-mor rha
-cc p</w>
-c mu</w>
-sa iled</w>
-se vent
-ro sie
-pil ing</w>
-he w</w>
-boar ded</w>
-seg ments</w>
-neph ro
-( .</w>
-cr ats</w>
-bak es</w>
-ðŁį ¸
-back tothe
-sibl ing
-kirk land</w>
-ke o
-gu wa
-bre ads</w>
-ðŁĺľ ðŁĺľ</w>
-t q</w>
-haras sed</w>
-ga u</w>
-wil bur</w>
-j isoo</w>
-ep er</w>
-li sam
-tri ppin</w>
-sh ino
-ru kh
-beast mode</w>
-cho a</w>
-inst aweather
-rich land</w>
-gar i</w>
-fe z</w>
-cowboy snation</w>
-fur suit</w>
-k run
-a en
-sycam ore</w>
-se gun
-ent ennial</w>
-di h</w>
-o ax
-demsin philly</w>
-ðŁĻ Ģ</w>
-sn hl</w>
-pen nies</w>
-pass words</w>
-ma kin
-ty e</w>
-d eng
-kni gh
-jeep life</w>
-hel pline</w>
-a for
-zz zz</w>
-ste amy</w>
-pic ker</w>
-iter ate</w>
-happen ingnow</w>
-ki b
-bloom berg
-martyr dom</w>
-bul ly
-assor tment</w>
-a hora</w>
-zo e
-no i
-illu stri
-agar wal</w>
-p sc</w>
-electr onica</w>
-recruit er</w>
-gar diner</w>
-rad ha</w>
-naf ta</w>
-dot net</w>
-pi ero</w>
-geor g</w>
-bel s</w>
-ðŁĺĤ ðŁĺį</w>
-tuberculo sis</w>
-run nin</w>
-mor is
-haul ing</w>
-ev oc
-bre thren</w>
-sha ir</w>
-frame works</w>
-a stu
-ri gid</w>
-ku ma
-kre me</w>
-jin nah</w>
-insu rers</w>
-ny u
-f ere</w>
-nol lywood</w>
-good vibes</w>
-- ...</w>
-toi le
-sk ril
-instaweather pro</w>
-cze ch
-pa vel</w>
-one piece</w>
-nike plus</w>
-fi let</w>
-cav ity</w>
-ðŁı½ âĢįâĻĤï¸ı</w>
-ðŁİ £</w>
-dra stic</w>
-dail ys
-siam ese</w>
-re bu
-oste o
-lar k
-f re</w>
-sh elling</w>
-p é
-glad ys</w>
-ðŁıĢ ðŁıĢ
-gusta ve</w>
-submer ged</w>
-grand stand</w>
-att u</w>
-won t
-f pv</w>
-b ley</w>
-jon i</w>
-ang ames</w>
-weigh ted</w>
-al ou
-ठ¶</w>
-les bians</w>
-f j
-anni es</w>
-am l</w>
-dor ia</w>
-dav in
-be ta
-can c
-madewith unity</w>
-ha j</w>
-bad lands</w>
-mu l</w>
-blu ec
-pa wn</w>
-cov ington</w>
-neuro logy</w>
-htt weets</w>
-dysle xia</w>
-thel ove</w>
-ne at
-fork lift</w>
-autom ate</w>
-une ven</w>
-monte ss
-he in</w>
-ha g</w>
-rel ics</w>
-competiti veness</w>
-can elo</w>
-mar tens</w>
-bullet proof</w>
-sk ittles</w>
-g ya</w>
-pri mo</w>
-americ afirst</w>
-woo o</w>
-abor tions</w>
-?? !!</w>
-ma che
-ld ers</w>
-rl ly</w>
-preli ms</w>
-direc t
-cour se
-swa in</w>
-super cell</w>
-ec centric</w>
-sting ray</w>
-ple ts</w>
-wil cox</w>
-west in</w>
-okan agan</w>
-kir an
-car bo
-bomb ings</w>
-ra rest</w>
-bo h
-gaw d</w>
-di gg
-mo ana</w>
-enti rety</w>
-en closed</w>
-dodge ball</w>
-par ton</w>
-milky way</w>
-at r</w>
-thorough bred</w>
-re ally
-qant as</w>
-epiph any</w>
-ine e
-aero smith</w>
-spi eth</w>
-ar thro
-ell ini</w>
-du bu
-bra ving</w>
-âļ½ âļ½
-re structuring</w>
-illumin ate</w>
-equ ili
-mp i</w>
-ash ton
-pony tail</w>
-ma scots</w>
-flat tering</w>
-cru m
-ast a</w>
-à® °</w>
-stranger things</w>
-bar nab
-ر ÙĬ
-make shift</w>
-got cha</w>
-will am
-cho irs</w>
-kilom etres</w>
-gho sh</w>
-eu than
-dol ly
-un ning</w>
-the ar
-cre we</w>
-w sw</w>
-j ace</w>
-dis miss</w>
-ke an
-ho ta</w>
-kh at
-~ ></w>
-thir u
-ren dez
-hart man</w>
-tee ssi
-cas ca
-z ah</w>
-hydr ange
-fo d</w>
-aw p</w>
-mzan si</w>
-thick er</w>
-nago ya</w>
-ne va</w>
-sti que</w>
-cast el
-dam ian
-there by</w>
-ji ang
-ale k</w>
-music islife</w>
-ra q</w>
-calla han</w>
-gou ache</w>
-somal iland</w>
-sean hannity</w>
-ra heem</w>
-lo se
-elo ve
-whar ton</w>
-rectan gular</w>
-illustr ating</w>
-har ne
-auti sma
-scra pped</w>
-ell and</w>
-decre e</w>
-nag pur</w>
-ki pp
-so re
-n md</w>
-ma as
-gun a</w>
-gart ner
-bel li
-then ight</w>
-je on</w>
-gendere quality</w>
-gi ver</w>
-a el</w>
-gar ments</w>
-ne u</w>
-mardi gras</w>
-mar sden</w>
-ro wer</w>
-pollu ted</w>
-camer aman</w>
-vin od</w>
-be asley</w>
-cro c</w>
-ji u
-hollyo aks</w>
-anesthe sia</w>
-al les</w>
-ste ward</w>
-lati mes</w>
-ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸ ðŁĩºðŁĩ¸</w>
-tic ian</w>
-gor ia</w>
-come dic</w>
-ðŁ¤Ķ ðŁ¤ĶðŁ¤Ķ</w>
-nai ve</w>
-sli ons</w>
-ł Ī
-bur glar</w>
-ðŁĺŃðŁĺŃ ðŁĺŃðŁĺŃðŁĺŃ</w>
-york shi
-se ñ
-fan boy</w>
-lau rel
-inci dence</w>
-potom ac</w>
-rober ta</w>
-presi den
-pr yor</w>
-os bourne</w>
-w ku</w>
-te me
-pal ae
-ðŁ¥ º
-re boun
-itu de
-red dish</w>
-k hand
-coloni alism</w>
-north carolina</w>
-ðĿ Ĵ
-manne quin</w>
-lady bird</w>
-ta sty
-knowledge able</w>
-g shore</w>
-ðŁĮ Į</w>
-à® ©</w>
-qu aker</w>
-salz burg</w>
-med alists</w>
-chy na</w>
-bridesma id</w>
-ma ori</w>
-ro p</w>
-outra ged</w>
-in adequate</w>
-truck ers</w>
-al ana</w>
-ìĿ ¼
-ri x
-oooo oooo</w>
-command ments</w>
-lam beth</w>
-aa j</w>
-eco friendly</w>
-bla z
-morecam be</w>
-boun cy</w>
-rou x</w>
-rai ded</w>
-mi zed</w>
-sh c</w>
-gaw x</w>
-labor atories</w>
-ru bs</w>
-rest room</w>
-consult ations</w>
-ca jun
-virgin i
-so ir</w>
-rev ue</w>
-ple in</w>
-wag er</w>
-ç ¹
-we do</w>
-growing up
-! ðŁĺĬ</w>
-face ted</w>
-sin ners</w>
-ho vering</w>
-ti ene</w>
-seas oning</w>
-an ja</w>
-leg go</w>
-il is</w>
-fla x</w>
-dev o</w>
-ash ram</w>
-mati sse</w>
-ker i</w>
-go wer</w>
-bo tox</w>
-mar shes</w>
-unh cr</w>
-ts m</w>
-opti mus</w>
-dun i</w>
-stu ffs</w>
-so k</w>
-order ly</w>
-n bad
-islam ophobia</w>
-raviol i</w>
-fab er
-cre ds</w>
-won ka</w>
-in fusion</w>
-over weight</w>
-daily news</w>
-assi mil
-acol lege</w>
-medalli on</w>
-kili manjaro</w>
-sti ff
-tham es
-sun ken</w>
-th ard</w>
-my dubai</w>
-hilari ously</w>
-han nel</w>
-plu mber</w>
-fair view</w>
-separ ating</w>
-rasc al</w>
-qui en</w>
-necess ities</w>
-confeder ation</w>
-ll ll</w>
-: ]</w>
-weak nesses</w>
-bron co
-ra ffles</w>
-el ot</w>
-ãĤ¸ ãĥ
-advent calendar</w>
-ðŁİ ¹</w>
-stra vel</w>
-tun ic</w>
-k su</w>
-im peach</w>
-e spionage</w>
-! -</w>
-di ment</w>
-cur rant</w>
-bio de
-commu ting</w>
-by ron
-ðŁĴĵ ðŁĴĵ</w>
-shad ed</w>
-tr uro</w>
-cray ons</w>
-ar ne</w>
-h sc</w>
-fre aked</w>
-dram ati
-fle ek</w>
-u cd</w>
-marl borough</w>
-^ -
-cross ings</w>
-mal o</w>
-black ops</w>
-bin ance</w>
-cho ked</w>
-chen ey</w>
-pl o</w>
-ge stures</w>
-val edic
-ryan air</w>
-rem ington</w>
-v cs</w>
-mc kee</w>
-ec z
-be gs</w>
-nail art</w>
-mayor of
-happy fathersday</w>
-war t
-pet itions</w>
-n ingly</w>
-clean energy</w>
-bro x</w>
-sl alom</w>
-exist ent</w>
-ab ay</w>
-ug liest</w>
-tom p
-stom a</w>
-sel by</w>
-goal scorer</w>
-ben ji</w>
-overwhel mingly</w>
-lan s
-semiconduc tor</w>
-south korea</w>
-re scheduled</w>
-sk yl
-en listed</w>
-dow ski</w>
-si del
-rosen berg</w>
-nas ser</w>
-white head</w>
-pri us</w>
-har are</w>
-en n</w>
-ry der
-í Ĥ
-mon g</w>
-clas ico</w>
-transpor ter</w>
-po tty</w>
-is me</w>
-** ***</w>
-vic e
-sk it</w>
-ode ssa</w>
-l mp</w>
-her n</w>
-raci ally</w>
-pin oy
-paragu ay</w>
-obitu ary</w>
-go es
-bu cha</w>
-side walks</w>
-angu lar
-un constitutional</w>
-transiti oning</w>
-i bu
-gu ys
-un packing</w>
-oooo oo
-black girl
-ber gs</w>
-Â ¯</w>
-wordof theday</w>
-trump train</w>
-thunder bolt</w>
-m si
-fasci sts</w>
-ठ¬</w>
-t sk</w>
-collap ses</w>
-raje sh</w>
-loveis love</w>
-migr ating</w>
-set back</w>
-ðŁĺĬ âĿ¤ï¸ı</w>
-t els</w>
-safety first</w>
-nar rated</w>
-jae joong</w>
-un answered</w>
-lique ur</w>
-en nes</w>
-dal go</w>
-bill ings</w>
-salt water</w>
-mer maids</w>
-lon gs</w>
-clap ham</w>
-we arec
-pic collage</w>
-n ach</w>
-h ace</w>
-pois oned</w>
-lo th</w>
-ag na</w>
-adel rey</w>
-guar dia</w>
-poli shing</w>
-peace keeping</w>
-d all</w>
-p isa</w>
-la pland</w>
-process ors</w>
-de andre</w>
-so bs</w>
-p once</w>
-dra ins</w>
-c be</w>
-ðŁİ¥ :</w>
-spla sh
-meat ball</w>
-fon tana</w>
-worcester shirehour</w>
-ne v</w>
-bri sk</w>
-b int
-ac r</w>
-po x</w>
-cay enne</w>
-skril lex</w>
-j fc</w>
-hahahaha hahaha</w>
-gla s</w>
-en gul
-tempor al</w>
-oni zed</w>
-con cre
-com pose</w>
-vibr ations</w>
-plant ers</w>
-fer t</w>
-criticalrole fanart</w>
-t bli
-sch allenge</w>
-huck abee</w>
-munici pal
-iam bic
-radi os</w>
-ne vis</w>
-dura bility</w>
-mc cla
-horse back</w>
-inst itutes</w>
-ful fill
-atta ch
-ate ur</w>
-ak an
-resi sting</w>
-illumin ation</w>
-hand le
-hair care</w>
-om ent</w>
-macle od</w>
-ka iser
-g no</w>
-bear down</w>
-ly f</w>
-gl omer
-distor tion</w>
-z m</w>
-san k</w>
-roo sters</w>
-is now</w>
-as ports</w>
-ag en</w>
-wo ken</w>
-st george
-ro mper</w>
-my le
-econom ists</w>
-ru to</w>
-t will</w>
-health and
-d ito</w>
-ws l</w>
-tair p</w>
-pra kash
-mic heal</w>
-h ts</w>
-w rights</w>
-kat su</w>
-fioren tina</w>
-defen seman</w>
-d itch
-var sity
-texan scheer</w>
-ba ham
-sc anned</w>
-we il</w>
-seduc tive</w>
-ðŁijį ðŁı½</w>
-fu e</w>
-er win</w>
-dav ison</w>
-ter ran
-moo ds</w>
-wool f</w>
-re source
-@ .</w>
-cu sh
-ðŁį °
-regre ssion</w>
-cur led</w>
-la zer</w>
-jo anne
-ab bott
-mo z</w>
-down ers</w>
-mm mmmm</w>
-valent ina</w>
-k hair
-dream t</w>
-cro ok</w>
-che k</w>
-ste aming</w>
-nephe ws</w>
-cl eric</w>
-as ober
-indefin itely</w>
-w ye</w>
-us news</w>
-joy ce
-flu shing</w>
-wynonna earp</w>
-ron do</w>
-kis s
-hot dog</w>
-bar ns</w>
-sax ophon
-far ley</w>
-gas p</w>
-decre asing</w>
-al way</w>
-pe x</w>
-l sd</w>
-shi ft
-p outine</w>
-ra zz
-rescu ing</w>
-ni ko</w>
-ho ch
-cc l</w>
-u aap</w>
-n ts</w>
-m car
-il wx</w>
-conqu ering</w>
-ket tering</w>
-stur dy</w>
-delay ing</w>
-sto k</w>
-vani shed</w>
-cath ar
-bin gham
-in v</w>
-ic hiro</w>
-he mo
-budge ting</w>
-[... ]</w>
-be ss</w>
-sebasti an
-slow ed</w>
-ðĿ ij
-musli m
-stun s</w>
-acton climate</w>
-ve a</w>
-se ton</w>
-rose tta</w>
-oun t
-hard in</w>
-flu id
-ca w</w>
-ðŁ¥ Ĥ
-yach t
-un l</w>
-sp hy
-provoc ative</w>
-or ic</w>
-is back</w>
-__ _
-nicol as
-gy an</w>
-loo se
-fl in</w>
-reb ate</w>
-: ::</w>
-! "@</w>
-com icon</w>
-she ff</w>
-down stream</w>
-chic hester</w>
-beach life</w>
-mom life</w>
-diabe te
-ar ra</w>
-van e</w>
-ok u</w>
-ye o</w>
-man go
-try out</w>
-app ell
-he irs</w>
-arjun a</w>
-dd u</w>
-na veen</w>
-movi c</w>
-soci alists</w>
-s back</w>
-criteri on</w>
-soyu z</w>
-k her</w>
-da z</w>
-yol anda</w>
-wine oclock</w>
-re ina</w>
-one w</w>
-leon ard
-en dez</w>
-u bs</w>
-support local</w>
-facilit ated</w>
-carameli zed</w>
-b pa</w>
-vuel ta</w>
-my tho
-m ami</w>
-spe are</w>
-nbap layoffs</w>
-fe vre</w>
-nick jonas</w>
-im print</w>
-c so</w>
-craig slist</w>
-la salle</w>
-gi deon</w>
-ha doop</w>
-dis regard</w>
-w ud</w>
-tu c</w>
-ma gee</w>
-acou stics</w>
-ta a</w>
-qui e
-pol a</w>
-cr t</w>
-dw yer</w>
-dis sec
-capit ol
-men tion
-kn oll</w>
-he igh
-fin ders</w>
-plac ements</w>
-l se</w>
-indi ra</w>
-gur i</w>
-madhuri dixit</w>
-kingdom s</w>
-iambic pent</w>
-geor gina</w>
-je ky
-conflic ting</w>
-bay an</w>
-aga tha</w>
-uph old</w>
-dr on
-vic ar</w>
-ex pat</w>
-periph eral</w>
-pe ssi
-fa f</w>
-ance stor</w>
-? ..</w>
-wid get</w>
-pun c
-comm enced</w>
-beav s</w>
-air waves</w>
-ad dis</w>
-po a</w>
-de sses</w>
-co den
-vu e
-ru pee</w>
-kar in</w>
-spo ck</w>
-m sy</w>
-ภ°
-pr ick
-fill more</w>
-ti fication</w>
-thing sto
-sar de
-em ile</w>
-pere ira</w>
-n ad</w>
-bright ening</w>
-arre sting</w>
-wo king</w>
-usc g</w>
-sp ill
-raspberry pi</w>
-hu go
-ite c</w>
-is ma
-cuff links</w>
-optimi zed</w>
-oc c</w>
-mi wx</w>
-en ka</w>
-el ited
-afford able
-sa kh</w>
-coron ado</w>
-ho h</w>
-at ul</w>
-ai oli</w>
-jim cantore</w>
-accoun ted</w>
-vin ay
-her mit</w>
-groo ves</w>
-ran ch
-r illa
-we tter</w>
-ou tof
-veter in
-ni kov</w>
-ki an
-fair banks</w>
-ram apho
-n iti
-k ko</w>
-ru sty
-ne stle</w>
-tv xq</w>
-shahe er</w>
-âĿ¤âĿ¤ âĿ¤âĿ¤</w>
-penn ant</w>
-gem stones</w>
-dem debate</w>
-ðŁIJ Ĭ</w>
-auton ews</w>
-support indiefilm</w>
-mach o</w>
-ve x</w>
-new sat</w>
-ne ti
-conce ssions</w>
-can died</w>
-yof the
-mac au
-den ds</w>
-cricke ters</w>
-san iti
-mari ano</w>
-gh at</w>
-ar toftheday</w>
-¡ ľ
-e gos</w>
-gen oa</w>
-chat bots</w>
-bri er</w>
-al labout
-mon ty
-spi ed</w>
-r tr</w>
-comfor t
-sni ppets</w>
-real time
-gra in
-exam ined</w>
-en lightening</w>
-tt u</w>
-god bless</w>
-release the
-sing ular</w>
-ki ans</w>
-ha ka</w>
-sor ren
-defe ct</w>
-mar g</w>
-equ ities</w>
-d orian</w>
-su ka</w>
-per l
-aishwar ya</w>
-pul lover</w>
-preci sion
-fair way</w>
-ne ve</w>
-rive ting</w>
-vill anova</w>
-en com
-ak o
-passion ately</w>
-europale ague</w>
-siem pre</w>
-x vi</w>
-enligh tened</w>
-c fr</w>
-âĺħâĺħ âĺħâĺħ</w>
-wast eland</w>
-is f</w>
-new comers</w>
-emergen cy
-amphi theatre</w>
-- .</w>
-text books</w>
-figur ative</w>
-tre mb
-pe sc
-ab hin
-ab bot</w>
-ac acia</w>
-har ds</w>
-por sche
-kau ai</w>
-el isa</w>
-car rick</w>
-abo u</w>
-elli er</w>
-be ch
-neu tron</w>
-galap agos</w>
-ru ben
-in nis
-how to</w>
-nun s</w>
-sab ine</w>
-i ac</w>
-clin ched</w>
-no tori
-fi ves</w>
-cairn gor
-per i</w>
-gr c</w>
-ðŁĴ¯ ðŁĴ¯</w>
-mal m
-twelf th</w>
-di ff
-rout ines</w>
-marty n</w>
-lin den
-synthesi zer</w>
-nu mber
-game cube</w>
-fal kirk</w>
-byz antine</w>
-queu ing</w>
-gr ill
-scal able</w>
-char red</w>
-rou ting</w>
-her bali
-gri zz</w>
-ðŁĺŃðŁĺŃ ðŁĺŃ
-tol l
-termin als</w>
-l pc</w>
-ab d</w>
-war mups</w>
-remo vable</w>
-¯ \
-vi go</w>
-pap aya</w>
-ne ve
-lov ingly</w>
-jo kers</w>
-ib les</w>
-sse tt</w>
-poten ti
-pel e</w>
-gi gi
-sadi q</w>
-leg acy
-son o</w>
-ru pees</w>
-retar ded</w>
-ele e</w>
-par r</w>
-fi ance</w>
-ey re</w>
-say ers</w>
-pend ants</w>
-mak nae</w>
-al bans</w>
-adap ting</w>
-p ff</w>
-pu berty</w>
-ji u</w>
-ing rad</w>
-hypocr ite</w>
-diplom ats</w>
-phys ical
-rob by</w>
-bon sai</w>
-ãģ ·
-f att
-catal unya</w>
-âľ ĸï¸ı</w>
-ro ma
-more land</w>
-so e
-conver sions</w>
-stl blues</w>
-shol m</w>
-gra ssy</w>
-pra do</w>
-on u
-assaul ting</w>
-> _
-sett es</w>
-dis graceful</w>
-aph ra
-âļ½ï¸ı âļ½ï¸ı</w>
-ठª</w>
-kil n</w>
-goal tender</w>
-s ru
-philanthro pist</w>
-b als</w>
-th n
-stu den
-sando val</w>
-dogre scue</w>
-eli ons</w>
-asse ssed</w>
-lar go</w>
-hec tares</w>
-sh rm</w>
-sa if</w>
-cle avage</w>
-no ches</w>
-n ene</w>
-fat alities</w>
-cur ing</w>
-clean ser</w>
-al es
-p vp</w>
-south bank</w>
-pizz eria</w>
-marsh als</w>
-kni fe
-an dover</w>
-tbli ghtning</w>
-sr sly</w>
-ou te</w>
-digi mon</w>
-timesof india</w>
-prome the
-le bo
-f su
-wit z
-rever e</w>
-man as
-mam ba</w>
-ch ica</w>
-gu an
-exhibit or</w>
-csr racing</w>
-d ere</w>
-xx xxx</w>
-gu sta</w>
-story time</w>
-ston ey</w>
-organ ics</w>
-and u
-se am</w>
-min ogue</w>
-anushka sharma</w>
-ab a
-ðŁİĻ ï¸ı</w>
-ugand an</w>
-chro matic</w>
-as sn</w>
-document aries</w>
-sh t</w>
-ru paul</w>
-loy d</w>
-k ats</w>
-e us</w>
-ite ch
-me dusa</w>
-pan ty
-kel logg</w>
-et to</w>
-talla de
-sha a</w>
-do st</w>
-p ms</w>
-mari ana</w>
-je ster</w>
-croo ks</w>
-ðŁĶ ¬</w>
-min danao</w>
-ind hoven</w>
-ðŁ¤ ª
-le xi
-tv n</w>
-jan is</w>
-co te
-ãģ Ĩ
-ser rano</w>
-iw m</w>
-ðŁIJ ¬</w>
-k ke</w>
-distribu tors</w>
-cap u
-counterfe it</w>
-camp site</w>
-ag gie
-ðŁĺ ¼</w>
-chhat tisgarh</w>
-~ @</w>
-state u</w>
-san di
-prevent able</w>
-cl s</w>
-can ne
-mm c</w>
-i ver</w>
-sa haran</w>
-pal is
-night out</w>
-do s
-ap ia</w>
-absc bn
-manag erial</w>
-aro se</w>
-mo wx</w>
-aro sa</w>
-ðŁĮ ³
-under dog</w>
-remo ver</w>
-astronom ers</w>
-lent ils</w>
-su scep
-smoo ther</w>
-pend leton</w>
-fau cet</w>
-e mory</w>
-dal mati
-af cb</w>
-tic us</w>
-exem pt</w>
-en rol
-d heim</w>
-ðŁIJ º
-restric tion</w>
-star fish</w>
-sto w
-snor kel
-thunder birds</w>
-she ad
-homo sexual</w>
-dy n
-as li</w>
-andre tti</w>
-dou che</w>
-dom o</w>
-tar mac</w>
-slu mber</w>
-pr onto</w>
-first dayof
-mini ature
-mari achi</w>
-argu s</w>
-recomm ending</w>
-mobi les</w>
-in ce</w>
-illustri ous</w>
-or c</w>
-adver ts</w>
-gr its</w>
-wea sel</w>
-pag oda</w>
-over pass</w>
-gre ys</w>
-maxi mus</w>
-arma gh</w>
-wood land
-sun ni</w>
-ðŁĴ ī
-ë Ŀ
-ti one
-soci o
-ho s
-ðŁ¤Ĺ ðŁ¤Ĺ</w>
-wind sor
-subsequ ent</w>
-munch ies</w>
-id h</w>
-exclu ding</w>
-e mi
-cu th
-z ai
-week days</w>
-law suits</w>
-barn ard</w>
-Ø ª</w>
-pe tting</w>
-net es</w>
-mul ligan</w>
-pharmac ists</w>
-ra quel</w>
-e ton</w>
-cran ston</w>
-gil ded</w>
-cle ary</w>
-ce ph
-ra a</w>
-pam per</w>
-lombar di</w>
-as in</w>
-sher ry
-pro d
-for te
-ari anism</w>
-buffalob ills</w>
-æľ ¬
-ðŁĶ¥ #</w>
-uu u
-just ices</w>
-car ina</w>
-nat in</w>
-mas low</w>
-dro oling</w>
-cog nac</w>
-cam ber
-el ong
-r dr</w>
-in en</w>
-convic tions</w>
-am use</w>
-tro ck</w>
-harm less</w>
-visit ation</w>
-gen omic</w>
-bl and
-beno it</w>
-chim p</w>
-tuscal oosa</w>
-gre asy</w>
-x po</w>
-gil t</w>
-se q</w>
-per mitted</w>
-christma seve</w>
-book s
-mu e
-old school
-human right
-be ati
-ðŁĶ Ŀ
-sh at</w>
-sculp ting</w>
-h wan</w>
-fern andes</w>
-sci utto</w>
-fu entes</w>
-endeav ors</w>
-maid stone</w>
-un paralleled</w>
-shou ted</w>
-queen of
-mer c</w>
-band ic
-ve da</w>
-sel angor</w>
-pi le
-ja han
-intimid ating</w>
-disapp ears</w>
-cl ich
-za ha</w>
-w urst</w>
-hi v
-fod ils</w>
-cor dless</w>
-aaaa aa</w>
-hy dra
-bel inda</w>
-e els</w>
-bu f
-su staining</w>
-rugby league</w>
-no c</w>
-brig itte</w>
-( ðŁĵ¸:</w>
-tromb one</w>
-soo the</w>
-smo g</w>
-ad p</w>
-stab le
-ing ley</w>
-diagno se</w>
-ms g
-we ss</w>
-tic keting</w>
-one e</w>
-nsw pol</w>
-e up
-auto psy</w>
-adity anath</w>
-sun down</w>
-river front</w>
-si ya</w>
-p is</w>
-hier archy</w>
-dur ango</w>
-di jk</w>
-ren shaw</w>
-he aps</w>
-epide mi
-david bowie</w>
-interne tof
-dd i</w>
-nation ality</w>
-mb ar
-air y</w>
-win der
-w alia</w>
-elli ott
-c x
-bav arian</w>
-pl att
-an tw
-wi wx</w>
-sof ter</w>
-ne ha</w>
-h eller</w>
-th and
-dani ela</w>
-bo ast</w>
-degra dation</w>
-ðŁĴ¦ ðŁĴ¦</w>
-transform ing
-man e
-av ut</w>
-ðŁĺĪ ðŁĺĪ</w>
-vo ter
-the e
-t ate
-pu ff
-in door
-sop roud</w>
-boy ce</w>
-boris johnson</w>
-wait in</w>
-immun ology</w>
-ðŁıĨðŁıĨ ðŁıĨ</w>
-âĿ Į
-street food</w>
-liz asober
-cavali er</w>
-c elia</w>
-need le
-motor ing</w>
-g ato</w>
-, )</w>
-ra de
-harve st
-t ms</w>
-jar pad</w>
-on ey
-air men</w>
-v re
-impair ment</w>
-abhi shek</w>
-snoo p
-l ant</w>
-fam ously</w>
-bl ou
-s ze
-g ander</w>
-un touch
-tu f
-dee jay</w>
-col lateral</w>
-b ind</w>
-ðŁļ ©</w>
-pin ning</w>
-ic n</w>
-' ;</w>
-the economist</w>
-ul tram
-worldwater day</w>
-ti poff</w>
-the i
-feed ers</w>
-campa ign
-sc umb
-day weekend</w>
-yo m</w>
-pe dic</w>
-h ough</w>
-ps v</w>
-pl in
-on de</w>
-boston marathon</w>
-az zy</w>
-* _*</w>
-con ley</w>
-thi ago</w>
-hoo o</w>
-gal erie</w>
-luci d</w>
-je tt</w>
-gl itz</w>
-final fantasy</w>
-achiev ers</w>
-y ung
-peregr ine</w>
-op hi
-dam es</w>
-biom ar
-âĺĢï¸ı âĺĢï¸ı
-sk c</w>
-l ics</w>
-fl ank</w>
-ar rahman</w>
-ho of</w>
-uphol stery</w>
-t ats</w>
-wo z
-Â ¿
-snor ing</w>
-ra er</w>
-l ju
-ap d</w>
-pl ating</w>
-kan u</w>
-im ation</w>
-fragr ances</w>
-m ra
-mor ay</w>
-mo tt
-im muni
-hearti es</w>
-bho pal</w>
-tim ers</w>
-g ata</w>
-color way</w>
-car nation</w>
-win get</w>
-si ghs</w>
-s ville
-optimi st</w>
-chate au
-olympi ans</w>
-ci o
-singer songwriter</w>
-ny o</w>
-fi bers</w>
-bur ch</w>
-ag ro</w>
-mil ne</w>
-ig bo</w>
-cr amer</w>
-ation als</w>
-dan ube</w>
-pad ma
-nor mani</w>
-en forced</w>
-bre ck
-boeh ner</w>
-ar den
-sur rendered</w>
-pros thetic</w>
-om a
-ha iled</w>
-calcul ations</w>
-w fa
-bi b
-fcb live</w>
-fon da</w>
-west coast</w>
-que sts</w>
-friend ly
-to wie</w>
-fit ch</w>
-bal ot
-star dom</w>
-scrat ching</w>
-ho sa</w>
-thi ka</w>
-o ven
-stro ke
-out post</w>
-pharmaceu ticals</w>
-hi kari</w>
-mu y</w>
-af d</w>
-fallon tonight</w>
-squ at
-or u
-dra ined</w>
-chocol at</w>
-ë¯ ¼</w>
-wor ths</w>
-ri b
-mu j
-that s
-residen te
-it el</w>
-boo st
-mi gos</w>
-mul led</w>
-la a</w>
-etsy shop</w>
-don keys</w>
-me k</w>
-p tc</w>
-flin ders</w>
-e hs</w>
-ro hit
-mu ir
-g ad</w>
-compos itions</w>
-åĨ Ļ
-combu stion</w>
-i kh
-yemen i</w>
-wav ed</w>
-gar ci
-ak os</w>
-oo ds</w>
-fu sion
-se que
-s lan
-pl ur
-kic chasu
-shenan do
-s ams</w>
-worl den
-horo witz</w>
-with me</w>
-mic robes</w>
-k ki</w>
-ðŁĴĶ ðŁĴĶ
-w su
-patch work</w>
-fre er
-y aki</w>
-the art
-symboli sm</w>
-mil er</w>
-bt n</w>
-ma bu
-side kick</w>
-motiv ates</w>
-sag itt
-natur als</w>
-serv iced</w>
-ps ori
-pa ola</w>
-qu ig
-i badan</w>
-gi ggs</w>
-ë ³
-sciento logy</w>
-si oux
-salam at</w>
-d res</w>
-cad bury</w>
-d hawan</w>
-ci ón</w>
-_ '</w>
-swa pping</w>
-maris ka</w>
-james bond</w>
-explo sives</w>
-ay les
-af er
-s agu
-cen sor</w>
-tom a</w>
-jeff erson
-ring ed</w>
-par tist</w>
-ir responsible</w>
-aguil ar</w>
-vac ay</w>
-equ itable</w>
-altrin cham</w>
-ac ur
-man ish</w>
-ger min
-schoo led</w>
-pu tter</w>
-ed ad</w>
-nav al
-toast y</w>
-sol areclipse</w>
-dish u</w>
-coy ne</w>
-ac co</w>
-mu ck
-mar an
-el os</w>
-len der</w>
-cro ix</w>
-worth less</w>
-ha ber
-gun men</w>
-ðŁį ĵ
-zen ith</w>
-t enders</w>
-hur st
-hol tz</w>
-itali ans</w>
-car low</w>
-u cd
-characteri stic</w>
-bun g</w>
-av l
-u th</w>
-sa sia</w>
-rs l</w>
-red man</w>
-neighbor ing</w>
-green peace</w>
-sti ps</w>
-follow party</w>
-y gk</w>
-en os</w>
-omni bus</w>
-na issance</w>
-chri ssy
-secu re
-call back</w>
-ji hoon</w>
-memor y
-block er</w>
-l anta</w>
-daf fodils</w>
-bil t
-ffer ty</w>
-fau st</w>
-ie c</w>
-nipp les</w>
-so g</w>
-m nd</w>
-jagu ar
-bol dly</w>
-ab poli</w>
-pro position</w>
-gun sense</w>
-evan sville</w>
-cu tters</w>
-we go
-dou n</w>
-do x
-stal lions</w>
-ka j
-shi ppers</w>
-j awa
-vol o</w>
-le ven
-pap rika</w>
-kov ich</w>
-jor di</w>
-induc tees</w>
-app alling</w>
-dial ysis</w>
-allevi ate</w>
-âĢĶ âĢĶ</w>
-pie ter</w>
-mid wi
-q tr</w>
-juli ette</w>
-inter mission</w>
-haw ks
-act ment</w>
-one ill</w>
-k lin
-vam ps</w>
-fam ous
-cou ld
-autom obi
-da an</w>
-west end</w>
-elli p
-nh c</w>
-mel anch
-web series</w>
-ton gue
-snat ched</w>
-smy th</w>
-tan gible</w>
-sl i</w>
-e asing</w>
-bar stool
-over lay</w>
-afford ability</w>
-ting ed</w>
-ter as</w>
-ay ush
-wanna one</w>
-rh ine</w>
-dan a
-sh ana</w>
-kend al</w>
-fer tile</w>
-w ir</w>
-repl eni
-lar vae</w>
-is ro</w>
-con vos</w>
-ab brevi
-u cc
-hun gry
-bur rows</w>
-ag er
-nav i</w>
-mat in</w>
-du per</w>
-cer n</w>
-ma don
-ķ ï¸ı</w>
-é ģ
-tu ps</w>
-hy att
-sh ep</w>
-friday night
-wis er</w>
-hei di
-hat ton</w>
-p gh
-foun tain
-wrist bands</w>
-ahmadi yya</w>
-aeri al
-subscri bed</w>
-so los</w>
-m ace</w>
-sla yed</w>
-for fe
-dul ce</w>
-christ mass
-arun jaitley</w>
-viol ate</w>
-ob stru
-ni eces</w>
-w vu
-idy l
-fa ze</w>
-pre serves</w>
-infr inge
-premi ers</w>
-inter vals</w>
-agen cy
-( ©</w>
-stand alone</w>
-di mes</w>
-bo er
-param eters</w>
-ge tit
-ðŁĺĺðŁĺĺ ðŁĺĺðŁĺĺ</w>
-tu lane</w>
-for given</w>
-scol l</w>
-mb ps</w>
-smash bros</w>
-rob bi
-prima vera</w>
-ali st
-ghost ly</w>
-ay at
-ye ats</w>
-impre ssionist</w>
-ear phones</w>
-caul field</w>
-wai kiki</w>
-sal ute
-sc ou
-mu ay
-louis vuitton</w>
-bak hta
-ado g</w>
-inven tions</w>
-hur d</w>
-forec lo
-stream line</w>
-thalai var</w>
-ch snews</w>
-will ard</w>
-t sn
-euro parl</w>
-cru sher</w>
-my sore</w>
-gro wer</w>
-ra ping</w>
-pat ti
-g den</w>
-sm w</w>
-muf ti</w>
-kid man</w>
-ab r
-soun ders</w>
-skep tical</w>
-ðŁĶ İ</w>
-sun dar
-i me
-fer g</w>
-feather weight</w>
-ar lington
-pas qu
-ag azine</w>
-wearab le
-nati c</w>
-mccl ure</w>
-inter mitt
-hor de</w>
-six ties</w>
-car te</w>
-bha v
-ze al
-experi ential</w>
-ador ned</w>
-som mer</w>
-eno te</w>
-hypo thesis</w>
-stin ky</w>
-pro to</w>
-dead lines</w>
-vo gel</w>
-mus ings</w>
-monc ton</w>
-gu ter
-f le</w>
-aci on
-voice of
-ta sha</w>
-inhabit ants</w>
-type face</w>
-s ba</w>
-bts x
-ðŁĶ Ĵ</w>
-wor x</w>
-u hc</w>
-jo ko
-cell ars</w>
-gor o</w>
-continu um</w>
-... &</w>
-weather cee</w>
-ha p
-sr k
-ris ers</w>
-lonely planet</w>
-un named</w>
-co eur</w>
-ðŁį Į</w>
-the world
-ili ke
-fa sten
-ami go</w>
-ri ba</w>
-ramapho sa</w>
-staf fers</w>
-had ley</w>
-? ?"</w>
-fi ore</w>
-sal ut
-hu ff</w>
-bez os</w>
-Ñ ĭ
-ra der</w>
-kam ala</w>
-in line</w>
-fill ers</w>
-um atic</w>
-all in
-shat ter</w>
-re in</w>
-o ku
-ch ases</w>
-fla gged</w>
-baby metal</w>
-water stones</w>
-ts b</w>
-cut out</w>
-op hel
-aam a
-rockab illy</w>
-sto lic</w>
-jet blue</w>
-ich ick</w>
-down ton
-uzbe kistan</w>
-pat na</w>
-la q</w>
-gr ange
-) _/
-subsi di
-sc p</w>
-newsc ast</w>
-it sa
-twee tyour
-e mor
-archae ologists</w>
-uni fication</w>
-por ta</w>
-q x</w>
-protec tors</w>
-pro hib
-charis ma</w>
-car tag
-ren fre
-scul pt</w>
-guwa hati</w>
-de ma</w>
-boo p</w>
-unf pa</w>
-dex ter
-lay la</w>
-alleg es</w>
-sou ps</w>
-never again</w>
-l ys</w>
-cal c</w>
-bar oness</w>
-visu alize</w>
-ger ber</w>
-absor bed</w>
-i ers</w>
-a han
-fon tein</w>
-detec tors</w>
-verst appen</w>
-sv c</w>
-formul ated</w>
-ac dc</w>
-li x</w>
-in competent</w>
-bh k</w>
-lour des</w>
-water house</w>
-snow ed</w>
-appreci ative</w>
-sig ma
-lizasober ano</w>
-pen ned</w>
-pay check</w>
-tall inn</w>
-fanc afe</w>
-par isi
-av alley</w>
-vi g</w>
-ru fc</w>
-hard ship</w>
-so cute</w>
-po ise</w>
-ì ¹
-roth schild</w>
-k ly</w>
-???? ????
-l hp</w>
-il ay
-f hs</w>
-am ad
-ide als</w>
-brad bury</w>
-bal boa</w>
-nic ot
-kid nap</w>
-wol ve
-tas manian</w>
-op t
-matthi as</w>
-ãĥ³ ãĤ
-super markets</w>
-mylittle pony</w>
-me lee</w>
-li ster</w>
-gr oun
-fe dora</w>
-kind ness
-en en</w>
-bra hms</w>
-¯\ _(</w>
-ros well</w>
-mar lene</w>
-ic u
-re formation</w>
-or ail</w>
-he brides</w>
-dispar ities</w>
-terrac otta</w>
-swal lows</w>
-re id
-influ encing</w>
-flu or
-den e</w>
-tum our</w>
-blon des</w>
-thunder bird</w>
-sh eva</w>
-moga dishu</w>
-ka b</w>
-cre eps</w>
-i ving</w>
-ene ed
-anno y</w>
-âĶ Ģ
-intri gue</w>
-enqu iry</w>
-ar aj</w>
-tur al
-kuber netes</w>
-end lessly</w>
-divi dends</w>
-tor a</w>
-ti sh
-commemor ates</w>
-un ra
-tri b</w>
-pon ty
-ne m</w>
-diss ent</w>
-brew ingco</w>
-ðŁĺ ½</w>
-nor mali
-bi of
-( ...</w>
-chil len</w>
-ì£ ¼
-mell on</w>
-av is
-mccor mack</w>
-ing ra
-enrich ed</w>
-custome rexperience</w>
-testo sterone</w>
-snu g</w>
-sett i</w>
-ger onimo</w>
-inqui rer</w>
-bre aches</w>
-very thing</w>
-bloom ing
-mu ra
-dispo s
-bi de</w>
-de va</w>
-shade sof
-in trin
-sh ev
-s ven</w>
-nayanth ara</w>
-gan esha</w>
-c ws</w>
-ber ta</w>
-label led</w>
-use um</w>
-nick named</w>
-ma han
-car uso</w>
-ap ur</w>
-ðŁij Ĩ</w>
-w q
-orphan age</w>
-discar ded</w>
-mag nu
-lu e</w>
-je on
-bridge port</w>
-pac ing</w>
-mercur y
-( ðŁĵ¸</w>
-marx ist</w>
-amphi bious</w>
-transplant ation</w>
-stit ching</w>
-then burg</w>
-gradu al</w>
-ãĤ Į</w>
-ro ft</w>
-ma ils</w>
-ine c</w>
-guy ana</w>
-dopp elg
-ver o
-re write</w>
-head less</w>
-harb augh</w>
-gate way
-car sforsale</w>
-sw i</w>
-st is</w>
-mach t</w>
-un de</w>
-sura baya</w>
-stap leton</w>
-nur turing</w>
-mil ner</w>
-ya o</w>
-lma oooo</w>
-ko sh</w>
-arsen al
-k ame
-er ry
-ar royo</w>
-dis misses</w>
-ru bbed</w>
-rc b</w>
-lew d</w>
-dil u
-and or
-vi de</w>
-ur in
-inter sec
-ha ar
-al b
-year swith
-app leton</w>
-é al</w>
-ul livan</w>
-suc cu
-monter rey</w>
-d mx</w>
-artem is</w>
-ron nie
-farm land</w>
-s football</w>
-gro tto</w>
-anth i</w>
-ãĢ ģ</w>
-à® Ł</w>
-vid ya</w>
-jimmy fallon</w>
-ൠį</w>
-t zer</w>
-gravit ational</w>
-w thr
-u hhh</w>
-e hr
-tin ker
-ti juana</w>
-scran ton</w>
-ram charan</w>
-bar clay</w>
-re van</w>
-m si</w>
-ka p</w>
-wr s</w>
-we thenorth</w>
-tor al</w>
-sat u</w>
-gro m</w>
-fac ep
-erick son</w>
-z yn
-se dge</w>
-oo dle</w>
-spur sofficial</w>
-ds p</w>
-sic ilian</w>
-soli hull</w>
-recei vers</w>
-ladak h</w>
-hend rick</w>
-ther i</w>
-presi ding</w>
-mc guinness</w>
-litt ers</w>
-gun nar</w>
-gh oul</w>
-wi b</w>
-n tv</w>
-kar o</w>
-fro ck</w>
-b lau
-ampli fy</w>
-all is</w>
-ul lah</w>
-memo irs</w>
-kh loe</w>
-intercep tions</w>
-pet day</w>
-lo oney</w>
-con fin
-ch ay
-piyush goyal</w>
-frequ encies</w>
-ut z</w>
-event ual</w>
-warm ly</w>
-obli vion</w>
-an ka</w>
-ta it</w>
-âĿ¤ï¸ı .</w>
-director ial</w>
-ru lers</w>
-prince s
-mu ck</w>
-stur ridge</w>
-deu ce</w>
-abri dged</w>
-bagu ette</w>
-un cles</w>
-pen du
-min ding</w>
-forre ster</w>
-av ila</w>
-wall er</w>
-wall street</w>
-ment or
-hin o</w>
-high way
-crom well</w>
-fanart friday</w>
-mb i</w>
-co yle</w>
-a hi
-tro ve</w>
-spie gel</w>
-pay tm</w>
-mcin tosh</w>
-jan sen</w>
-nit i</w>
-nash ville
-len o</w>
-leicester shire</w>
-le gos</w>
-dic t
-ðŁĵ ½</w>
-sp ad
-beverly hills</w>
-sy rah</w>
-separ ates</w>
-z ain</w>
-un fit</w>
-dra gs</w>
-tan ia</w>
-over flowing</w>
-hri thik</w>
-haw thorn</w>
-z ani</w>
-mac far
-fi de</w>
-to tem</w>
-pe ds</w>
-fundament ally</w>
-cal ico</w>
-sin ner</w>
-j ä
-hil de
-ds d</w>
-ten ay</w>
-ta hit
-mil f</w>
-lie b</w>
-inform ing</w>
-up lift</w>
-ra el</w>
-mortg ages</w>
-lec t</w>
-ii ii</w>
-guillau me</w>
-compos ites</w>
-old smobile</w>
-l end
-gar th
-com mish</w>
-bapti zed</w>
-scorpi ons</w>
-ru cker</w>
-bringback our
-alli ance
-thalap athy
-tal i</w>
-sp ans</w>
-eri dge</w>
-wither spoon</w>
-lin da
-sky lar</w>
-kor n
-hom s</w>
-Ä į
-sil enced</w>
-caf fe</w>
-ar ty
-dist inguish</w>
-to wed</w>
-pun g</w>
-jessic a
-ear nest</w>
-beau fort</w>
-t ama</w>
-study abroad</w>
-si khs</w>
-new bie</w>
-nav ratri</w>
-mar ble
-loun ging</w>
-lit ter
-dal it</w>
-so sa</w>
-iz es</w>
-gra de
-com promising</w>
-tr iton</w>
-de tta</w>
-v j
-chau ffe
-spec tral</w>
-powe red
-montess ori</w>
-artic ulate</w>
-hal ton</w>
-al co</w>
-ye y</w>
-mn twins</w>
-acoun ty</w>
-ðŁijı ðŁı¾</w>
-âī Ī</w>
-mad men</w>
-kal a
-gru m
-chi k</w>
-ati s
-su me</w>
-akh tar</w>
-job search</w>
-high lighter</w>
-bo ath
-âĦ ¹</w>
-tar zan</w>
-lam bo</w>
-âĽĦ ï¸ı</w>
-ox fam</w>
-dump ster</w>
-pretz els</w>
-mac os</w>
-incl ined</w>
-fac tual</w>
-adverti sers</w>
-shu i</w>
-pu ree</w>
-ml pfi
-anti dote</w>
-cap o</w>
-pa str
-merc ado</w>
-but ton
-ar min
-ag g</w>
-lol la
-horri bly</w>
-er rands</w>
-christop he</w>
-time snow</w>
-monday motiv
-li ss
-scand als</w>
-mc i</w>
-dispropor tion
-âĺ İ</w>
-sur pass</w>
-samar itan</w>
-so tho</w>
-pu rest</w>
-fl att
-trivi atuesday</w>
-delec table</w>
-leop old</w>
-hermi one</w>
-chou dhary</w>
-en rich</w>
-¡ ¡</w>
-subsi diary</w>
-ine qualities</w>
-bachel or
-auto immune</w>
-la kota</w>
-i hop</w>
-ad jec
-the simpsons</w>
-sh es
-se k
-gret chen</w>
-up stream</w>
-hin akhan</w>
-coper nic
-x tina</w>
-lu g</w>
-tough ness</w>
-e ad</w>
-cli pped</w>
-bi us</w>
-sl v</w>
-fah ren
-dee pak</w>
-ca u</w>
-x an
-im mature</w>
-dig ni
-bo bs</w>
-shred ding</w>
-but tery</w>
-accommod ations</w>
-de ven
-chun ks</w>
-super league</w>
-sky bet
-kil dare</w>
-je et
-ë į
-ce k</w>
-wrec ks</w>
-pro pane</w>
-oh l
-tb d</w>
-quo i</w>
-trum pp
-mi mo
-reluct ant</w>
-ver ne</w>
-o ic</w>
-ma gh
-ar nau
-se ver</w>
-li dge</w>
-stair way</w>
-kicchasu deep</w>
-ðŁĶ º</w>
-mach ining</w>
-aama admi
-ot i</w>
-c da</w>
-al it
-pan y</w>
-inst alls</w>
-ac ct</w>
-e shop</w>
-di em</w>
-hard well</w>
-fulfill ment</w>
-sc afe</w>
-qu ack</w>
-extrac ts</w>
-swee tened</w>
-fi ghton</w>
-f di</w>
-d inger</w>
-wal tham</w>
-us ur
-refe rees</w>
-seok jin</w>
-gran n</w>
-af rin</w>
-th n</w>
-sch af
-par cels</w>
-bet is</w>
-amar ine</w>
-nom an
-kh tar</w>
-mor itz</w>
-cou pling</w>
-bar ons</w>
-ðŁIJ ¸
-Ã ¸</w>
-sl p</w>
-sad ler</w>
-x ander</w>
-tri ad</w>
-mc millan</w>
-kh z</w>
-divi ding</w>
-ìĹijìĨ Į</w>
-dar yl
-zed d</w>
-le ys
-pla ques</w>
-flu ori
-tipper ary</w>
-on nell</w>
-di dier</w>
-lang ford</w>
-im c</w>
-the sun</w>
-bir dies</w>
-ar cha
-ye ssss</w>
-t di</w>
-dar ia</w>
-cand ace</w>
-al tam
-pal aces</w>
-ch it</w>
-sant am
-event ful</w>
-book of
-ad b</w>
-mon stax</w>
-cre ole</w>
-co el
-âĸ ½
-we aren
-sten nis</w>
-she ath</w>
-ati sm</w>
-gron ingen</w>
-mlpfi m</w>
-le pre
-wrong ly</w>
-rsp ca</w>
-rendez vous</w>
-acknowle dging</w>
-pel vic</w>
-solic itor</w>
-sla ys</w>
-nue stra</w>
-lo d
-is lander</w>
-fer oci
-fashion show</w>
-ra ss</w>
-dge on</w>
-adole scents</w>
-sma shes</w>
-negli gence</w>
-grate ful
-ved ere</w>
-sw oop</w>
-ing l
-apol ice</w>
-vand alism</w>
-gan n</w>
-jo ao</w>
-di supdates</w>
-zimbab we
-under age</w>
-radi ance</w>
-w of
-bour geo
-pla s
-cr ani
-gh ue</w>
-wrec kem</w>
-warran ts</w>
-re form
-jim mie</w>
-at wood</w>
-ys l</w>
-neil himself</w>
-l bj</w>
-i man
-tan to</w>
-nois se
-ver bs</w>
-equip o</w>
-al together</w>
-mam ent</w>
-l ice</w>
-dou glass</w>
-tier ney</w>
-pri med</w>
-j hal
-furn itu
-braz ili
-v ill</w>
-past els</w>
-n ison</w>
-u ff</w>
-paral ysis</w>
-jay e</w>
-im po
-ðŁij ģ</w>
-strate gically</w>
-pakistan is</w>
-was sup</w>
-super bike</w>
-thank u</w>
-tru elove</w>
-sha ikh</w>
-israel is</w>
-vi p
-to g</w>
-li en</w>
-la ker
-grey hounds</w>
-cul ars</w>
-bian chi</w>
-balot elli</w>
-ar ran</w>
-loo s</w>
-str ates</w>
-he bron</w>
-ar vo</w>
-sunder land
-the al
-tomb stone</w>
-sand man</w>
-c pac</w>
-thanks giving
-love him</w>
-lat ino
-an in</w>
-aka if</w>
-ĭ ãĤ
-tor quay</w>
-di est</w>
-alli anz</w>
-ðŁĺ ķ
-golf club</w>
-cl lr
-wal cott</w>
-sch nau
-promp ted</w>
-nomin ating</w>
-len nox</w>
-val et</w>
-mon ro
-may ward
-e ph
-ðŁĶ Ķ</w>
-inter oper
-r da</w>
-re flex
-arm chair</w>
-ê° ķ
-stri pper</w>
-por ti
-ph arm</w>
-ham za</w>
-ni reland</w>
-ne ue</w>
-h pv</w>
-port foli
-sun burn</w>
-fris bee</w>
-be al</w>
-bapti ste</w>
-x h</w>
-ty m</w>
-pr ati
-o vers
-haz rat</w>
-deser t
-der ry
-us ky</w>
-em mett</w>
-ach arya</w>
-)_/ ¯</w>
-shu d</w>
-may a
-ham ill
-ra im
-nr c</w>
-fitt ings</w>
-cur vy</w>
-ðŁı ĩ
-ster ling
-ॠĢ
-wal kin</w>
-short cuts</w>
-mil ly</w>
-ast ur
-alpha be
-pl i</w>
-pe z
-miss you</w>
-rad ford</w>
-ml g</w>
-ta eyang</w>
-notjust lakes</w>
-du mps</w>
-seren dip
-le ur</w>
-ra ving</w>
-e ster</w>
-de priv
-absc bn</w>
-ðŁijĩ ðŁı»
-scar city</w>
-o cr
-mean ings</w>
-cap t
-da hl
-fer mentation</w>
-bri oche</w>
-to win</w>
-out lander
-massi mo</w>
-en cro
-ðŁ¥ ³
-buil t
-po tam
-kir i</w>
-tm w</w>
-monit ored</w>
-k ites</w>
-peoples vote</w>
-gray son
-íģ ¬</w>
-afri ka</w>
-a dies</w>
-i vote
-gy ne
-g annon</w>
-di x
-c mc</w>
-ou ral</w>
-fox andfriends</w>
-bel i</w>
-ig ne</w>
-gl an</w>
-katrin akaif</w>
-co politics</w>
-qual itative</w>
-p si
-lu cci</w>
-disc oura
-âĺ ®</w>
-kel li
-gau tam
-carac as</w>
-reale st</w>
-pu la
-in us</w>
-hill top</w>
-make aw
-atten borough</w>
-tw y
-r arity</w>
-peck ham</w>
-ma hon
-corn elius</w>
-clin icians</w>
-ton line</w>
-tb i</w>
-paradi se
-ka si
-inev it
-fresh ness</w>
-colling wood</w>
-lun atic</w>
-defen se
-cop d</w>
-in fra</w>
-wain wright</w>
-sains bury</w>
-alab am
-te ma</w>
-lac o
-chec ker</w>
-releg ated</w>
-tren t
-stal ks</w>
-huff post
-bhubanes war</w>
-ast ral</w>
-share your
-prim rose</w>
-hi me</w>
-cat an</w>
-end ment</w>
-en dow
-cle mens</w>
-mal oney</w>
-hil ary
-game time</w>
-den ise
-collabor ators</w>
-b wo
-radic als</w>
-gue tta</w>
-ici on
-au a</w>
-snap matic</w>
-sat chel</w>
-excav ation</w>
-base man</w>
-s ão</w>
-gn ation</w>
-fel d
-surve y
-shah zad</w>
-ma st
-anirud hofficial</w>
-tru cker</w>
-ot ago</w>
-geo graph
-ethe l</w>
-âļ¡ï¸ı âļ¡ï¸ı</w>
-s ver
-mu tt</w>
-internetof things</w>
-ancho red</w>
-wh ouse</w>
-bang la</w>
-bal main</w>
-ç¹ ĭãģ
-break fa
-á Ģ
-twi ster</w>
-te tris</w>
-ca v</w>
-stag s</w>
-g z
-au b</w>
-stor med</w>
-hel ens</w>
-yar mouth</w>
-st asy</w>
-gustav o</w>
-co sc
-vin son</w>
-up p</w>
-sc ricket</w>
-assump tions</w>
-app e</w>
-nu h</w>
-u er</w>
-pre mise</w>
-n aga
-e amon
-coron ary</w>
-na f</w>
-north side</w>
-el mer</w>
-ro tar
-out lining</w>
-el f
-re surg
-kat elyn</w>
-in can
-hyster ia</w>
-ce e
-am bani</w>
-pro lly</w>
-Į ãĤĬãģ
-ax es</w>
-san jose</w>
-rem brandt</w>
-mag pie</w>
-even ly</w>
-scor sese</w>
-qu aint</w>
-f g
-b buk</w>
-indian football</w>
-weare all
-spd wy</w>
-pis ces</w>
-ec g</w>
-âĺħâĺħâĺħâĺħ âĺħ</w>
-pre orders</w>
-: |</w>
-ni pple</w>
-sal azar</w>
-ju me
-jail break</w>
-min n
-bas sett</w>
-ze tta</w>
-jef free
-ad jun
-tic on</w>
-san diego
-drink local</w>
-chol era</w>
-solic itors</w>
-o bo
-com post
-ni an</w>
-wr a</w>
-tre ach
-ic ic
-profession al
-del ve</w>
-leg ate</w>
-histor ia</w>
-cro issant</w>
-con noisse
-nam o
-palli ative</w>
-chem trails</w>
-i ority</w>
-global warming</w>
-comic art</w>
-behavi oural</w>
-re sted</w>
-li as</w>
-cli mates</w>
-Ł ãģĦ</w>
-rut land</w>
-nou rish</w>
-menopau se</w>
-hot ties</w>
-demen ti
-ve spa</w>
-mel ville</w>
-anal ogue</w>
-tz man</w>
-str ung</w>
-im perfect</w>
-gl are</w>
-cir cling</w>
-ros berg</w>
-rec o</w>
-oc ity
-lo ire</w>
-em be
-do ssier</w>
-ne el</w>
-nan do
-me a
-gal vani
-fin esse</w>
-ag p</w>
-berke ley
-asi m</w>
-âĺº âĺº</w>
-quil ted</w>
-ish ere</w>
-un matched</w>
-po tion</w>
-for z
-at re
-selfi es
-juli ana</w>
-ðŁļ ¶
-âĸ º
-mel ton</w>
-âłĢâłĢâłĢâłĢ âłĢâłĢâłĢâłĢ
-spin rilla</w>
-pur cell</w>
-ed p</w>
-at leti</w>
-tony awards</w>
-ra ja
-pro gno
-mol ten</w>
-stu ff
-p ally</w>
-nobel prize</w>
-âĻ» ï¸ı</w>
-spiritu al
-spe ake
-sa sha
-bri um</w>
-tru ss</w>
-critici ze</w>
-assassinscre ed</w>
-yor uba</w>
-u lo
-fire man</w>
-workin progress</w>
-ef cc</w>
-fla res</w>
-ro bot
-hi kers</w>
-cl l
-shado wing</w>
-pat sy</w>
-leh man</w>
-c ns</w>
-å ±
-guad al
-à± į</w>
-ra pe
-r honda</w>
-paralle ls</w>
-son ja</w>
-langu age
-land ings</w>
-z ola</w>
-cr amps</w>
-bur ning
-apprais al</w>
-jol la</w>
-ham m</w>
-kas a</w>
-gul ly</w>
-f go</w>
-uly sses</w>
-ri be
-ðŁĴ Ħ
-ib u</w>
-eti enne</w>
-bri ar</w>
-fin ely</w>
-comb ating</w>
-y ql</w>
-go tham
-we chat</w>
-to paz</w>
-primar ies</w>
-l se
-iz z</w>
-hel e</w>
-dispon ible</w>
-cy stic</w>
-bel ichick</w>
-th rush</w>
-kansas city</w>
-ge om
-soli di
-red bubble</w>
-by stand
-cambridge shire</w>
-par fait</w>
-ast le</w>
-ow o</w>
-ind ore</w>
-stom ping</w>
-sm elly</w>
-ðŁ¤ ĸ</w>
-locom o
-adm itting</w>
-hol me</w>
-clock wise</w>
-min sk</w>
-mc co
-for get
-ev p</w>
-cam ra</w>
-ab ella</w>
-yo tes</w>
-universit yof
-mé xico</w>
-silver ado</w>
-ric ket
-crom bie</w>
-pu j
-eradic ate</w>
-deli ght
-y go
-glam ping</w>
-vic a</w>
-du ggan</w>
-coun ters</w>
-cf d</w>
-sc our
-react js</w>
-pu ram</w>
-paras ites</w>
-in ki
-vill en
-stel la
-li mbo</w>
-ang as</w>
-k cr
-ðŁĴļðŁĴļ ðŁĴļ</w>
-vap ori
-mum ford</w>
-oli gar
-à ¼
-al oo</w>
-boo ties</w>
-ad r</w>
-k elli</w>
-dru mmers</w>
-av ici
-nature uk</w>
-ron al
-in trac
-un splash</w>
-le che</w>
-g oma</w>
-el ine
-envir o</w>
-bi onic</w>
-bu eno</w>
-mi k</w>
-av in
-star ling</w>
-em powers</w>
-cake day</w>
-boy cot
-ðŁĴļ ðŁĴļ</w>
-ðŁĮ¸ ðŁĮ¸
-v ach
-m ci
-fractu res</w>
-ger i</w>
-sk ing
-exclu ded</w>
-lu ce</w>
-ja ve
-ig gy
-evi den
-aki stan</w>
-a wn</w>
-mor als</w>
-luci fer
-ha ban
-tumb ling</w>
-sunday motivation</w>
-mo sley</w>
-captain america</w>
-sch icago</w>
-the one</w>
-mo td</w>
-d ts</w>
-ðŁIJ ¼</w>
-rep ell
-ii i
-locu st</w>
-geo spatial</w>
-mer sey</w>
-immer se</w>
-desc end</w>
-ber nade
-j s
-boat sales</w>
-win der</w>
-cran k
-sing leton</w>
-candid acy</w>
-ben a</w>
-ðŁı» âĢį
-high lander</w>
-ol t</w>
-k prs</w>
-healthy lifestyle</w>
-four teen</w>
-end the
-ith aca</w>
-circul ated</w>
-r ans</w>
-pre valent</w>
-ha vas
-splend or</w>
-roo ster
-kalamaz oo</w>
-jewell ers</w>
-enne dy</w>
-rou sey</w>
-es y
-cann ons</w>
-ornam ental</w>
-// //
-ren don</w>
-win ne
-mol ding</w>
-eid mubarak</w>
-coun tess</w>
-simon a</w>
-ha wa</w>
-fo es</w>
-du ster</w>
-sb u</w>
-por tray</w>
-mar ries</w>
-goo dday
-cho co
-achi ever</w>
-ðŁĺ¹ ðŁĺ¹
-pre neur</w>
-tr amp</w>
-tom i</w>
-n bat
-garden chat</w>
-farra khan</w>
-ever glades</w>
-ab ru
-sou sa</w>
-se ce
-homes wee
-terre strial</w>
-bar it
-sri devi</w>
-ol u</w>
-mel inda</w>
-f rick</w>
-can dies</w>
-ðŁĺŃ ðŁĴķ</w>
-qu reshi</w>
-family fun</w>
-exor cist</w>
-cardin al
-ny t
-dies el
-cu mulus</w>
-capric orn</w>
-si ology</w>
-lor na</w>
-dou gie</w>
-an die</w>
-super sport</w>
-c fl
-п ÑĢи
-say ang</w>
-pe ek
-ภĬ</w>
-lo be</w>
-j em
-ing lis</w>
-gg led</w>
-c sn</w>
-amne sty
-chu ps</w>
-ba es</w>
-sau er
-ðŁı IJ
-mongo lian</w>
-en et</w>
-back street
-dr illed</w>
-acce ssing</w>
-ce o
-b se</w>
-ai ken</w>
-pur r</w>
-wor sen
-whe res
-war k
-testi fying</w>
-bu ri
-bla st
-aw g</w>
-ðŁĵ ĭ</w>
-re defining</w>
-hear ing
-u ci
-c mp
-bon i</w>
-tail oring</w>
-ta ji
-noc chi</w>
-em t</w>
-stephen king</w>
-ne et</w>
-compla ins</w>
-campaig ner</w>
-luci ano</w>
-twili ght
-ti esto</w>
-pas sports</w>
-flo yd
-cathe dr
-na ked
-caregi ver</w>
-b coz</w>
-ade cides</w>
-ku ri
-ly k</w>
-br aries</w>
-dren ched</w>
-disc lose</w>
-ðŁĴª ðŁı½
-le blanc</w>
-je tty</w>
-gar ty</w>
-chip mun
-b su</w>
-rhyth mic</w>
-ic z</w>
-fri d</w>
-anne x</w>
-ame x</w>
-solo ist</w>
-lanc ers</w>
-arro whead</w>
-speci fication</w>
-simul ated</w>
-na is
-inver te
-bo wing</w>
-wor ship
-f z</w>
-abo ss</w>
-sha q
-ì¶ ķ
-challeng ers</w>
-an arch
-aamaadmi party</w>
-ãħĭãħĭ ãħĭ</w>
-suffol k
-so corro</w>
-sn ell</w>
-cla dding</w>
-absor bing</w>
-shaw a</w>
-particip ates</w>
-ðŁį Ķ
-book stores</w>
-bak u
-seap ort</w>
-ko jima</w>
-gab y</w>
-pack ard</w>
-electr ician</w>
-let it
-mo wing</w>
-fa wad
-young jae</w>
-hot mail</w>
-men ing
-u rie</w>
-intim acy</w>
-con ti
-: ")</w>
-lifeis good</w>
-in ciner
-i dri
-craz iness</w>
-jour nos</w>
-fran chi
-bott len
-al da</w>
-ff es</w>
-k x</w>
-south we
-air a</w>
-clay ton
-sco ti
-f j</w>
-bri ga
-ðŁ¤ĺ ðŁı»
-demonstr ators</w>
-y z</w>
-stor k</w>
-na q
-casc ades</w>
-travel chat</w>
-plat a</w>
-pad ma</w>
-fran ci
-at tain</w>
-bat girl</w>
-lom bard</w>
-hoo s</w>
-d dos</w>
-neon atal</w>
-discla imer</w>
-r ss
-r ant
-di sen
-tex aste
-so cal
-frac tal</w>
-cam ry</w>
-stri fe</w>
-sn acking</w>
-mu h</w>
-sant ander</w>
-mor ons</w>
-gra f
-par ades</w>
-hu ston</w>
-dru pal</w>
-mi ento</w>
-kir stel</w>
-hy de
-vom it</w>
-forti fied</w>
-sphin x</w>
-da v</w>
-bir yani</w>
-win nings</w>
-s baseball</w>
-mer ged</w>
-lovel ondon</w>
-ling ering</w>
-dream big</w>
-car leton</w>
-liveli hood</w>
-djan go</w>
-astri d</w>
-gri ds</w>
-down e</w>
-bru ised</w>
-s ne</w>
-scarec row</w>
-hel ium</w>
-f nc</w>
-bi ggs</w>
-an ter
-restor ative</w>
-em pires</w>
-ab del
-life style
-kiwan is</w>
-colloqui um</w>
-me en</w>
-pr ick</w>
-anti que
-ze b</w>
-mi mic</w>
-edmon ds</w>
-ðŁijĬ ðŁijĬ</w>
-q ing
-pp el</w>
-mc gill
-interpre ting</w>
-âŀ ķ</w>
-rash ad</w>
-do ka</w>
-narr ator</w>
-electro magnetic</w>
-ash by</w>
-sau ra
-iran deal</w>
-âģ īï¸ı</w>
-krish nan</w>
-in di</w>
-ff en</w>
-bre a</w>
-os man</w>
-multin ational</w>
-chi ppe
-recruit ers</w>
-aus biz</w>
-p ounding</w>
-re gen
-cur sor</w>
-refu sal</w>
-mac s</w>
-in ak
-ax ial</w>
-wa ifu</w>
-up cycled</w>
-hindu stan</w>
-cas sini</w>
-carly le</w>
-scrat ches</w>
-re ef
-man atee</w>
-eat ery</w>
-ðŁĵ ¢
-un condition
-sen pai</w>
-on ther
-comic book</w>
-pro sciutto</w>
-de mar</w>
-mi se
-ma ge
-fre ec
-aye sha</w>
-al der</w>
-android games</w>
-ley ton</w>
-ho ck</w>
-door way</w>
-chicagof ire</w>
-aali yah</w>
-sw elling</w>
-bi x
-. ðŁĺĤ</w>
-evan kirstel</w>
-torpe do</w>
-kon stant
-genevie ve</w>
-ma ia</w>
-ha user</w>
-do torg</w>
-hide ous</w>
-fi k</w>
-sp raw
-e ek</w>
-z appa</w>
-wan dered</w>
-' '
-ra jan</w>
-bam bi</w>
-( $)</w>
-wid ening</w>
-tool box</w>
-sa ir
-illumin ating</w>
-pra ys</w>
-out patient</w>
-i w</w>
-day o</w>
-lo b</w>
-sw fl</w>
-sha des
-gu ms</w>
-coo kin</w>
-ko di
-gri ffin
-traum ati
-ste a</w>
-slaugh tered</w>
-god bless
-air time</w>
-pseu do</w>
-b sa</w>
-hau led</w>
-ar if</w>
-à¸Ńภĩ
-le l</w>
-wc po</w>
-mil iti
-char ters</w>
-worl da
-ru k</w>
-k gs</w>
-digital india</w>
-is able</w>
-idyl lic</w>
-esp ino
-marie tta</w>
-e bo</w>
-team canada</w>
-ab our</w>
-wil ton</w>
-rock stars</w>
-fav ored</w>
-phys ic
-wrink le</w>
-tb r</w>
-d print</w>
-ball arat</w>
-ad al
-z ey
-ðŁĺį ðŁĶ¥</w>
-tom lin</w>
-mt r</w>
-pal sy</w>
-fener bah
-tight en</w>
-phil ia</w>
-ir oning</w>
-ry u
-b ant</w>
-enqu ire</w>
-ca ir</w>
-abur ger</w>
-tru n</w>
-green berg</w>
-chau han</w>
-ir ina</w>
-sh ani
-trend setter</w>
-pre tt
-zaf ar</w>
-alo ve
-v ici
-pan ic
-no o</w>
-lu stre</w>
-disrup ted</w>
-bal lis
-son sof
-mon si
-inst ac
-ake st</w>
-ëĭ ¤
-kw ame</w>
-horror movies</w>
-distric t
-sau cy</w>
-mb an</w>
-ar mies</w>
-with drawn</w>
-med ics</w>
-loft us</w>
-er oom</w>
-be kind</w>
-ar ns</w>
-all on</w>
-un ison</w>
-davi ds</w>
-cr at</w>
-nicot ine</w>
-so or
-sm x</w>
-on co
-cospla ying</w>
-zombi es
-har ms</w>
-e ger
-ro sy</w>
-moon shine</w>
-fe in
-ce tt</w>
-du brov
-reg ents</w>
-ben itez</w>
-ðŁijıðŁı¼ ðŁijıðŁı¼</w>
-ste c</w>
-m alia</w>
-prioriti ze</w>
-ic eland
-ft se</w>
-v amo
-lam ont</w>
-homo sexuality</w>
-bre es</w>
-regu i</w>
-cb p</w>
-te j</w>
-sky sports</w>
-deter gent</w>
-sha sta</w>
-de rel
-conserv ancy</w>
-colori zed</w>
-accol ades</w>
-vis o</w>
-show your
-nan ow
-bice ps</w>
-us ability</w>
-bi m
-dailys ketch</w>
-pearl jam</w>
-stran gest</w>
-mega deth</w>
-broad casts</w>
-bar ren</w>
-ar ton</w>
-chri ss
-confi gu
-lu res</w>
-is the
-e ul
-railway ana</w>
-global health</w>
-gi anni</w>
-u aap
-s lum</w>
-consci ously</w>
-ab re</w>
-n up
-bud get
-v ada</w>
-e sch
-real ness</w>
-er ased</w>
-th unt</w>
-be z</w>
-armist ice</w>
-ðŁij ¹</w>
-sh run
-o led</w>
-driver less</w>
-ðŁ¤· ðŁı»âĢįâĻĢï¸ı</w>
-won dr
-sk an
-sal aam</w>
-mother land</w>
-h wang</w>
-gen o</w>
-gang nam</w>
-tw right</w>
-endor sing</w>
-en ic
-ador ation</w>
-pau sed</w>
-patric ks</w>
-do cked</w>
-plat te</w>
-ff xv</w>
-ethnic ity</w>
-auto show</w>
-side show</w>
-after life</w>
-re located</w>
-orphan ed</w>
-food network</w>
-dare to
-and ra
-sla ps</w>
-v live</w>
-swim s</w>
-re imagined</w>
-mist le
-re vise</w>
-real ity
-bhar ti</w>
-ðŁĴĻ ðŁĴĽ
-late st
-prou dest</w>
-gra sses</w>
-lan yard</w>
-fresh est</w>
-carcin oma</w>
-anom aly</w>
-zieg ler</w>
-sum ner</w>
-ly rix</w>
-gor g</w>
-is d
-av el
-swild life</w>
-me squ
-john cena</w>
-euro league</w>
-sab er
-master ful</w>
-yar ra</w>
-cogn ition</w>
-jacob son</w>
-abo lic</w>
-sir loin</w>
-shuk la</w>
-moj ito</w>
-su pere
-st weet</w>
-me z</w>
-e sa
-rudol f</w>
-gur a</w>
-where you
-tt m</w>
-win s
-trust worthy</w>
-ny k</w>
-bra den</w>
-table top
-good food</w>
-es on
-be k
-lingui stic</w>
-gra ys</w>
-ch ath
-h cs</w>
-mon i
-de ans</w>
-cu ssions</w>
-ch ell</w>
-slo ws</w>
-he mi</w>
-d app
-shar pie</w>
-boo sters</w>
-a os</w>
-str ack</w>
-se dona</w>
-mu eller
-hard wick</w>
-or nate</w>
-thor a</w>
-sal ud</w>
-o twol
-ch um
-mi ho</w>
-for age</w>
-thel ittle
-tear ful</w>
-ones elf</w>
-min dy
-sm g</w>
-gmb h</w>
-emer ald
-ðŁĶ´ âļªï¸ı
-tu tti</w>
-recep tions</w>
-re vising</w>
-i brox</w>
-tope ka</w>
-sal ami</w>
-expan se</w>
-i books</w>
-dob son</w>
-cli o</w>
-at s
-ðŁļ Į</w>
-mo ha
-is ance</w>
-shu tters</w>
-moo t</w>
-jan ine</w>
-marvel comics</w>
-jor dani
-pos er</w>
-kenne th
-hy ung
-de ja</w>
-ase ball</w>
-speci ality</w>
-eu ston</w>
-classic car</w>
-had ith</w>
-ðŁIJ ī</w>
-chas ing
-iz o</w>
-gros ven
-ag lia</w>
-thisdayin history</w>
-t row</w>
-om ile</w>
-hu ar
-by n
-sal ine</w>
-div ine
-demon ic</w>
-ty ran
-han dover</w>
-revit alization</w>
-pa ella</w>
-cryp tic</w>
-se dg
-m end</w>
-dun kirk</w>
-bre d
-wal d
-sport scar</w>
-a ard
-whe aton</w>
-da ener
-k lan</w>
-br t</w>
-bakhta war
-spi res</w>
-schu bert</w>
-ro ti</w>
-poli sh
-o se
-ag ame</w>
-wonder con</w>
-prote stant</w>
-bo sa</w>
-ðŁĺ Ł</w>
-d ü
-joy ride</w>
-ger trude</w>
-âĿ Ŀ</w>
-gil a</w>
-v h
-tw a</w>
-tra v</w>
-swal lowed</w>
-star ve</w>
-la in
-ent ren
-rei ki</w>
-su kh
-cra ic</w>
-az u</w>
-web page</w>
-kee fe</w>
-hypo the
-hir sch</w>
-hel le</w>
-camp ground</w>
-w amy</w>
-tra vi
-sha hi</w>
-san deep</w>
-ru i</w>
-han uman</w>
-dw p</w>
-reposit ory</w>
-no or
-no ff</w>
-un real
-p ell</w>
-black history</w>
-har vick</w>
-ma scar
-pay ee</w>
-pa sha</w>
-gastron omy</w>
-d ÃŃ
-ai g</w>
-rosen thal</w>
-open day</w>
-embelli shed</w>
-t tip</w>
-sun bathing</w>
-go pack
-end ome
-ï¸ı #</w>
-invali d</w>
-final four</w>
-st fu</w>
-squish y</w>
-ra sta</w>
-mo sch
-jam esc
-die trich</w>
-sel a</w>
-mel b
-el vi
-t dp</w>
-sun i</w>
-sli t</w>
-j ha
-bi za</w>
-spi ked</w>
-l li
-l illard</w>
-vam pi
-syno psis</w>
-az har</w>
-kendrick lamar</w>
-ĮãĤĬãģ ŁãģĦ</w>
-heart less</w>
-country file</w>
-air play</w>
-arrog ance</w>
-pre e</w>
-virtu oso</w>
-ãħłãħł ãħłãħł
-raj u</w>
-le bu
-for ward
-tu g
-dro s</w>
-mondaymotiv aton</w>
-concep cion</w>
-thel o
-pad i</w>
-looo ol</w>
-ÑĢ од
-it ss
-eth ical
-end uro</w>
-__ :</w>
-expend iture</w>
-mon ste
-mas king</w>
-terri ers</w>
-ib is</w>
-e mber</w>
-cu mple</w>
-punctu ation</w>
-pi per
-ir vin</w>
-ade e</w>
-yy yyyy</w>
-flash backs</w>
-cel sius</w>
-don nie
-bo gota</w>
-ben evol
-the script</w>
-shil pa
-pro se
-fin dia</w>
-ze ke</w>
-ne ko</w>
-do ves</w>
-blues lyrix</w>
-fro sh</w>
-sowe to</w>
-mp lo
-al ai</w>
-sab i</w>
-raq qa</w>
-wf tv</w>
-stro ller</w>
-ian somerhalder</w>
-ðŁĶ ª
-an on
-mo seley</w>
-! ?!?</w>
-sta king</w>
-mol y</w>
-car tri
-c sg</w>
-ast or</w>
-transc end
-ma er
-de ux</w>
-cow girl</w>
-sas k
-pun ter</w>
-ma ken
-o ates</w>
-love tt</w>
-grow ler</w>
-sag in
-v n
-ssi ble</w>
-officeof rg</w>
-y mc
-sab ar
-faul ty</w>
-ap ha</w>
-ak on</w>
-ðŁij «
-snow don</w>
-ae w</w>
-raise the
-ðĿ ĵ
-grue some</w>
-clement ine</w>
-sp ing</w>
-lat a</w>
-worlden viron
-mi mic
-can aria</w>
-bakhtawar bz</w>
-ao a</w>
-fal a
-ãĤ Ń
-avi va</w>
-you uuu</w>
-thi gh
-la dders</w>
-gu mbo</w>
-tz ky</w>
-fu zz
-plastic pollution</w>
-est ate
-strength ened</w>
-k ant</w>
-dr in</w>
-cal vert</w>
-transform ational</w>
-frigh tened</w>
-mac lean</w>
-elited angerous</w>
-ear thy</w>
-t son</w>
-to da</w>
-j nu</w>
-.. ,</w>
-mic hal
-i ban
-je ong
-is real</w>
-sim coe</w>
-exclu sives</w>
-blue bells</w>
-ben e</w>
-te u
-pil sner</w>
-pens ke</w>
-athe ists</w>
-m pu
-cartag ena</w>
-ðŁĴĹ ðŁĴĹ
-million aires</w>
-kk kk</w>
-it ar</w>
-subscri ptions</w>
-remo te
-ma fi
-hin ton</w>
-w cc
-ho k</w>
-ds b
-ab leton</w>
-sevent y</w>
-pun ks</w>
-e indhoven</w>
-sh one</w>
-mcfar lane</w>
-lim popo</w>
-empha si
-Ã ¼</w>
-sin fo</w>
-pe tre
-man grove</w>
-ch ino
-ber tie</w>
-play lists</w>
-push awards
-p af
-deb bie
-c do</w>
-r ino</w>
-ðŁı¾ âĢįâĻĤï¸ı</w>
-fol ke
-bon nar
-th ine</w>
-sl an</w>
-hal ter</w>
-evi e</w>
-aw some</w>
-vul tures</w>
-spar ky</w>
-seiz ures</w>
-âľ Ķ
-ram one</w>
-ine ffe
-al n
-pro ctor</w>
-ast ra
-the voice
-gro te
-sci on</w>
-dead line
-am aya</w>
-tain ted</w>
-patter ned</w>
-exce eding</w>
-cross fit
-kay lee</w>
-drop box</w>
-ru shes</w>
-tack led</w>
-mo by</w>
-retro gamer</w>
-n cbd</w>
-benef itting</w>
-shay kh</w>
-guild hall</w>
-gen try</w>
-dream cast</w>
-dread ed</w>
-bun dled</w>
-th aw</w>
-revol ving</w>
-n pt</w>
-kylie jenner</w>
-imagin ative</w>
-ron i</w>
-over came</w>
-family time</w>
-ds burg</w>
-car naval</w>
-relation ship
-recogni zable</w>
-cor oner</w>
-ho le
-fan fic</w>
-emir ates
-bur ritos</w>
-analy se</w>
-thin ner</w>
-ne es</w>
-galli poli</w>
-bl r</w>
-cat woman</w>
--- >></w>
-au lt
-ada ily</w>
-nau ghty
-ili o</w>
-solit aire</w>
-mtv br
-jocel yn</w>
-arun ach
-rep ent
-south gate</w>
-hy acin
-essenti al
-fent on</w>
-and um</w>
-it or
-go pal</w>
-sl inger</w>
-po sei
-aw il
-wi elding</w>
-ra ila</w>
-eli as
-a sto
-Ã ¤</w>
-tend ency</w>
-str ata</w>
-ker t</w>
-< -</w>
-im acele
-da es
-sti mulus</w>
-han ley</w>
-fit nes
-ec stasy</w>
-lim ous
-ha iling</w>
-ðŁ¤ Ń</w>
-chis wick</w>
-tar ies</w>
-sla v</w>
-pul i</w>
-moderni zation</w>
-black mail</w>
-b ingham</w>
-h fx
-+ +
-ðŁĩ®ðŁĩ ³
-ni v</w>
-we a</w>
-profess or
-k off</w>
-bol ster</w>
-su ave</w>
-sequ ences</w>
-pepper oni</w>
-not te</w>
-dre n</w>
-ãģ¨ ç¹ĭãģ
-hs v</w>
-o ga</w>
-ap tly</w>
-z ad
-excel si
-rin ka</w>
-mol dova</w>
-min n</w>
-ma bel</w>
-conferen cing</w>
-bas ing
-of er
-ob si
-hamill himself</w>
-care less</w>
-brief ed</w>
-inhe rent</w>
-par ish
-dub nation</w>
-town sville</w>
-sar awak</w>
-gee ky</w>
-doncaster isgreat</w>
-was abi</w>
-gu p</w>
-phen o
-dra inthe
-carrie underwood</w>
-ble eds</w>
-bbc world</w>
-ane w</w>
-alta f</w>
-dul wich</w>
-ani ston</w>
-w ti</w>
-sumat ra</w>
-gra fton</w>
-bl n</w>
-me ster</w>
-bode ga</w>
-re go</w>
-es q</w>
-an jo</w>
-sump tuous</w>
-mai sie</w>
-ï¿ ½
-wil t</w>
-jak ob</w>
-el vis
-se pul
-mu ster</w>
-air pollution</w>
-president e</w>
-happy monday</w>
-exten sively</w>
-fl ondon</w>
-t ls</w>
-play ing
-pe ed</w>
-din ho</w>
-var dy</w>
-pi ka</w>
-n iro</w>
-au cus</w>
-ðŁį ¦
-nu ll</w>
-el ondon</w>
-juvent us
-imag ines</w>
-dis ab
-lit o</w>
-d ura</w>
-work places</w>
-promo te
-mc caf
-wood work</w>
-waw x</w>
-à® ª</w>
-tt ino</w>
-shar i</w>
-sem per
-better together</w>
-ðŁijĬ ðŁı»
-ze bra
-pon dering</w>
-en chil
-ho m</w>
-cosm ic
-tan z
-mo cked</w>
-ec cc</w>
-ath ed</w>
-abo lish</w>
-prop eller</w>
-paris agreement</w>
-assemb lies</w>
-indu stry
-fraudul ent</w>
-pe sa</w>
-chang min</w>
-ax x
-ðŁĴ µ
-irr ational</w>
-cu sa</w>
-ramad han</w>
-octa via</w>
-on elove</w>
-jac ki
-bar ak
-taxi der
-seri ous
-nathan fillion</w>
-mc en
-ch k</w>
-po part</w>
-grav ity
-copp ola</w>
-reading fc</w>
-illu sions</w>
-j ig</w>
-ww x</w>
-re sh</w>
-ex porting</w>
-buzz ard</w>
-âĻ ¤</w>
-p cm</w>
-lan apar
-ko s
-arom as</w>
-antal ya</w>
-ww dc</w>
-ven a</w>
-phil a</w>
-ball in
-ðŁij Ħ</w>
-quin ta</w>
-ma o
-f ery</w>
-eigh ty</w>
-sentim ents</w>
-safe guarding</w>
-r wa</w>
-pu ffs</w>
-luc ille</w>
-de cath
-sl u</w>
-nu gent</w>
-de ter</w>
-braz il
-ze iss</w>
-super bowl
-subsi dy</w>
-alter n
-hi dalgo</w>
-enz ymes</w>
-ä ½
-tag ne</w>
-hair dresser</w>
-adri en</w>
-walk out</w>
-oppo ses</w>
-can tina</w>
-bed side</w>
-af an
-ðŁĶ Ĺ
-prophe tic</w>
-dan es</w>
-un successful</w>
-super charged</w>
-pk k</w>
-exem ption</w>
-hart le
-secu lar
-cli pping</w>
-br s</w>
-united way
-c net</w>
-pat chy</w>
-ha gan</w>
-e en
-âļ ľ
-var a</w>
-sym pathi
-never trump</w>
-affir mation</w>
-om f</w>
-ny cfc</w>
-ma ja</w>
-sur ro
-keer th
-up scale</w>
-sandal wood</w>
-mon archy</w>
-kno bs</w>
-å ĭ
-po tholes</w>
-hunger games</w>
-ter races</w>
-na sir</w>
-coun sell
-welcome to
-wa q
-se aman</w>
-m ita</w>
-stun ningly</w>
-on theroad</w>
-in ability</w>
-) !!</w>
-bon go</w>
-ant v</w>
-sp ut
-worldenviron mentday</w>
-resu sc
-y td</w>
-fi m</w>
-eun hyuk</w>
-sa chin
-rose anne</w>
-cler mont</w>
-ape c</w>
-am ina</w>
-v ening</w>
-n antes</w>
-al most
-sin us</w>
-ex as</w>
-ty l</w>
-ti en</w>
-ple ad</w>
-lanc s</w>
-bur naby</w>
-re k
-jo om
-observ ers</w>
-disco graphy</w>
-cl g</w>
-âĻ ¦</w>
-sn ack
-r ti</w>
-o ily</w>
-crystal li
-bru te</w>
-web development</w>
-topp ings</w>
-la f
-an is</w>
-ad der</w>
-reli ving</w>
-car lin</w>
-battle of
-we g</w>
-syri an
-pon t
-n dc</w>
-lagh ate
-yu ma</w>
-sp p</w>
-p iti
-ro bbing</w>
-mart ing
-rey kja
-raj put</w>
-nc ds</w>
-kie wicz</w>
-âĢ¢ âĢ¢</w>
-vam pire
-substan tially</w>
-opio ids</w>
-nepal i</w>
-k line</w>
-ar oo</w>
-under stand
-lit t</w>
-u it</w>
-thro mbo
-sar ies</w>
-qu ot</w>
-b alling</w>
-t tr
-s gh</w>
-philip p</w>
-br ant</w>
-ac l
-m ello</w>
-whit taker</w>
-. ;</w>
-defi ant</w>
-b gc</w>
-repl ying</w>
-mir ren</w>
-metamor pho
-sch wab</w>
-bul ge</w>
-utili zed</w>
-pick ering</w>
-par don
-d sa</w>
-ภĪ
-doo ley</w>
-cumul ative</w>
-Ð »
-ur gency</w>
-e mir</w>
-+ /-</w>
-¦ Ī</w>
-ot as</w>
-âı ³</w>
-station ed</w>
-grape vine</w>
-ar ac
-karan johar</w>
-f ancy
-sau l
-coo gs</w>
-lgbt q
-ا٠ħ
-jav i</w>
-u mmer</w>
-pl l
-den is
-dai pur</w>
-pu ffin</w>
-lewi sham</w>
-fand om
-co pe
-ves matter</w>
-s ve
-hel pless</w>
-deo dor
-ostr ich</w>
-kaz an</w>
-friday the</w>
-con dor</w>
-v x</w>
-sophom ores</w>
-rob les</w>
-cu tt</w>
-cli mbers</w>
-ë¦ ¬
-sle g</w>
-sn f</w>
-mac ys</w>
-hydr ating</w>
-grou pe</w>
-po yn
-mou lin</w>
-hg tv</w>
-lmfa ooo</w>
-sulph ur</w>
-asdfghj kl</w>
-annab elle</w>
-hump back</w>
-bra ved</w>
-viswas am</w>
-multi purpose</w>
-hu midi
-escor ted</w>
-barb ican</w>
-f ad</w>
-cor sa</w>
-ðŁ¤ «</w>
-pi ppa</w>
-here to
-can y
-ser gi
-or cas</w>
-o vie
-ed ou
-s any
-glob alization</w>
-man cini</w>
-food truck</w>
-f is</w>
-defi brill
-sch re
-sma fia</w>
-love wins</w>
-la ut
-k aka</w>
-hol lande</w>
-game on</w>
-resurg ence</w>
-out side
-olympi ad</w>
-int an
-abstr action</w>
-rapi d
-pal om
-cal le
-jas min</w>
-attack ers</w>
-swag g</w>
-mit ra</w>
-ky lo</w>
-à® ²</w>
-her mitage</w>
-gor do</w>
-e ira</w>
-so sfam</w>
-roll out</w>
-exc ite</w>
-sy nod</w>
-mer rill</w>
-c als</w>
-as sa</w>
-liveli hoods</w>
-ju ve
-the black
-gopack go</w>
-ant lers</w>
-alban ian</w>
-wool ly</w>
-qu iche</w>
-puri fication</w>
-are th</w>
-smar thome</w>
-ne k</w>
-all blacks</w>
-mex icans</w>
-is m
-ger ms</w>
-comple xion</w>
-mar ck</w>
-u shi</w>
-ðŁIJ IJ
-char l
-ca stic</w>
-till erson</w>
-giuli ani</w>
-biode gradable</w>
-mal bec</w>
-bo is
-ju bil
-im es</w>
-r ame</w>
-gene tic
-esp nu</w>
-ch ley</w>
-so ho
-go pher
-g sc</w>
-buu ren</w>
-cu be
-bridesma ids</w>
-webin ars</w>
-to e
-mani pur</w>
-viol ently</w>
-notic ias</w>
-ex changing</w>
-chi ev
-replac eable</w>
-muay thai</w>
-bu ss</w>
-sp il
-instal ment</w>
-div ya</w>
-cait lin
-o lim
-fil tering</w>
-whirl wind</w>
-sta red</w>
-prior it
-pr am
-pompe ii</w>
-mono logue</w>
-k ite
-bu ka</w>
-âĢ¦ ..</w>
-vac cine
-bre ro</w>
-woz ni
-sol ent</w>
-re ferr
-my rt
-gridi ron</w>
-galatasar ay</w>
-fro ze</w>
-clare mont</w>
-ðŁ¥ ĥ</w>
-victori as
-ssel dorf</w>
-pa stures</w>
-net neutrality</w>
-ch or</w>
-ðŁij ģ
-ಠ¿</w>
-we ho</w>
-symp tom</w>
-jo sel
-in ous</w>
-dragon con</w>
-power ball</w>
-p te</w>
-four thofjuly</w>
-ec la
-ear buds</w>
-where abouts</w>
-salt life</w>
-depriv ation</w>
-ch ter</w>
-wi ggle</w>
-syste m
-ps st</w>
-ch az
-d any</w>
-ri mo</w>
-oax aca</w>
-lanapar rilla</w>
-barcel on
-melanch oly</w>
-way back
-ho tro
-n si
-l illy
-kur o</w>
-ja han</w>
-intellec t</w>
-board game</w>
-ðŁı Ĭ</w>
-sneak peek</w>
-k prc</w>
-jail s</w>
-cand el
-zan zi
-mor timer</w>
-star ch</w>
-ra gs</w>
-p fa</w>
-long live
-k art
-gir ona</w>
-cro cker</w>
-christop h</w>
-precau tions</w>
-war ship</w>
-per m</w>
-paren t
-van gogh</w>
-gif ford</w>
-allegh eny</w>
-ra yn
-ut m</w>
-sten cil</w>
-rec alling</w>
-pen ney</w>
-z azzle</w>
-ìĥ Ŀ
-hin ds</w>
-aren as</w>
-nu ev
-law ler</w>
-gu in</w>
-do this</w>
-ðŁij ķ</w>
-ì¶ķ íķĺ
-we g
-ti b
-ri din</w>
-complex es</w>
-turbul ent</w>
-pe sos</w>
-de marcus</w>
-vall arta</w>
-sam sun
-kis ses
-hein rich</w>
-deport es</w>
-wil ms
-ur d</w>
-then ext
-inki gayo</w>
-ho wi
-fir sts</w>
-carri age
-clean liness</w>
-mas war
-is ch</w>
-ax el
-si zzle</w>
-road house</w>
-fr ans</w>
-ent ourage</w>
-co bble
-boo th
-benedic t
-tal on</w>
-fc u</w>
-year ofthe
-ray on</w>
-raider nation</w>
-fo yle</w>
-ko val
-pi anos</w>
-l pg</w>
-bur mese</w>
-man ure</w>
-geo caching</w>
-cosc ino</w>
-b np</w>
-fer ra
-stro phy</w>
-mar ais</w>
-ce es</w>
-legen dof
-kat niss</w>
-eno ch</w>
-av ed</w>
-you know
-d prk</w>
-ðŁĺ¢ ðŁĺ¢</w>
-sp un
-pro st</w>
-sor rows</w>
-cent red</w>
-ke a</w>
-gal icia</w>
-? ðŁ¤Ķ</w>
-ÑĢод а</w>
-bou chard</w>
-ðŁĴĻ ðŁĴľ
-yu i</w>
-seed lings</w>
-jon ah
-reco vers</w>
-ny rd</w>
-board room</w>
-su ma</w>
-my japs</w>
-tun g
-sha i</w>
-ir gc</w>
-eli o</w>
-wag ons</w>
-ka shi
-polic emen</w>
-john nie</w>
-ale coscino</w>
-shop ify</w>
-dot ted</w>
-de tri
-va w</w>
-to fficial</w>
-in your
-chal mers</w>
-trac ed</w>
-no vi
-by es</w>
-ari el
-nipp on</w>
-la pel</w>
-gri ez
-b gs</w>
-fool ing</w>
-d ita</w>
-vijay sethu
-nm wx</w>
-as ot</w>
-kr anti</w>
-hel m
-ve di</w>
-sic kest</w>
-mo chi</w>
-k abo
-shru bs</w>
-he red
-b sp</w>
-sq m</w>
-ham r</w>
-dul kar</w>
-anth a</w>
-nr f</w>
-avoid ance</w>
-at en</w>
-publi x</w>
-be arers</w>
-nas i</w>
-ha p</w>
-h ells</w>
-ðŁĸ ¥</w>
-ภ·</w>
-thelast jedi</w>
-oh wx</w>
-ðŁį «
-wa hoo</w>
-there se</w>
-rec aps</w>
-ss nhq</w>
-bird photography</w>
-v ay
-pet ti
-pau lo
-bel vedere</w>
-( *
-gr l</w>
-du vet</w>
-c pec</w>
-sa it
-por sch
-meas urable</w>
-avi ators</w>
-fre mantle</w>
-bre en</w>
-on om
-me and
-life saving</w>
-eu ref</w>
-en don</w>
-embar as
-aira sia</w>
-el is</w>
-dun kin
-star magic
-s ill</w>
-porto bello</w>
-ki efer</w>
-ex e</w>
-mu ted</w>
-ãģ ¦
-we thepeople</w>
-logi a</w>
-liber al
-theforce awakens</w>
-min ed</w>
-haun ts</w>
-freck les</w>
-care taker</w>
-s india</w>
-âķ IJ
-dev lin</w>
-list on</w>
-direction er</w>
-oh n</w>
-fi garo</w>
-em manuel
-du bois</w>
-cl ones</w>
-bru ise</w>
-ðŁİĪ ðŁİī</w>
-disin fe
-der matology</w>
-as r</w>
-s watch</w>
-dis comfort</w>
-tam anna
-pi day</w>
-mack en
-k atic</w>
-delu sional</w>
-shaw nee</w>
-gu d
-al bino</w>
-p ali
-din gh
-cucu mbers</w>
-coffe y</w>
-anticip ating</w>
-treas ured</w>
-web summit</w>
-shel tered</w>
-sav or</w>
-pedago gy</w>
-m gs</w>
-sh ma</w>
-s bu
-den ali</w>
-cam pos</w>
-bubble gum</w>
-o ir
-le aps</w>
-y ler</w>
-r one
-sansk rit</w>
-min t
-meat less
-futuri st</w>
-du de
-a vel</w>
-prote sted</w>
-squ ire</w>
-z aki</w>
-sz n</w>
-har court</w>
-cycl one
-bour dain</w>
-gather ings</w>
-d ant
-advent urer</w>
-parag on</w>
-alt man</w>
-dd ing
-ban erjee</w>
-snorkel ing</w>
-mother well</w>
-mis sy
-en der
-glo ws</w>
-ki wis</w>
-chick pea</w>
-por o
-e fron</w>
-app t</w>
-u y</w>
-speci fied</w>
-gab by
-e strada</w>
-com bos</w>
-bour bon
-vin i</w>
-var un
-steph ani
-key words</w>
-car vings</w>
-amit abh</w>
-wr ought</w>
-tw al
-re els</w>
-clu bbing</w>
-ubi quit
-cri t</w>
-ambed kar</w>
-æ Ļ
-prun ing</w>
-vaccin ated</w>
-boe ing
-s ks</w>
-lo ona</w>
-hypno sis</w>
-edel man</w>
-pho l</w>
-he w
-colo sse
-mckin sey</w>
-u on
-to te
-sacrific ing</w>
-ox i</w>
-n ang
-e mu
-пÑĢи ÑĢода</w>
-m th</w>
-kers wednesday</w>
-argu ed</w>
-timel apse</w>
-ris king</w>
-regul ating</w>
-ni gh</w>
-likeli hood</w>
-cu bic
-au ction
-rein for
-pi stor
-no ses</w>
-ye l</w>
-snu ggles</w>
-pe i
-jean ette</w>
-ta ku</w>
-ri th
-guy z</w>
-ภŀ</w>
-y te</w>
-ver ted</w>
-pay soff</w>
-jau regui</w>
-hoo ligans</w>
-procedu ral</w>
-mi b</w>
-har dy
-el eng
-chec kers</w>
-all ine</w>
-the met</w>
-prou dof
-keerth yofficial</w>
-collabor ator</w>
-ni u</w>
-infl icted</w>
-adv ani</w>
-re twee
-memor iam</w>
-f icial</w>
-ti ghter</w>
-sal em
-re viewers</w>
-br ics</w>
-ben digo</w>
-am ell</w>
-tur kish
-sush maswar
-paul son</w>
-pal awan</w>
-mol lie</w>
-stitch er</w>
-s burgh</w>
-ir u</w>
-hay dn</w>
-en ers</w>
-aro a</w>
-u zzi</w>
-saraj evo</w>
-hel a</w>
-apol lo
-nine ty</w>
-vac a</w>
-sp on</w>
-vent u
-jel ena</w>
-hei fer</w>
-avo ids</w>
-sp ine
-pri ze
-mar ist</w>
-re creating</w>
-me de</w>
-woo den
-find lay</w>
-ro fl</w>
-n di</w>
-compreh end</w>
-yu go
-y ü
-to work</w>
-u fos</w>
-son ar</w>
-pi ston</w>
-recor ding
-tent ative</w>
-art forsale</w>
-pel lets</w>
-fre do</w>
-ÙĪ ر
-mu ses</w>
-custom ization</w>
-pro found
-is ner</w>
-ide ally</w>
-si am</w>
-plan kton</w>
-cm dr</w>
-man ger</w>
-fran ken</w>
-customiz able</w>
-ठ®
-walk away</w>
-swi vel</w>
-vast ly</w>
-no ton
-lex a</w>
-ex moor</w>
-z as</w>
-tan te</w>
-reduc tions</w>
-lol ly</w>
-hip sters</w>
-benef ited</w>
-ë ²
-ww www</w>
-mascul ine</w>
-fi ji
-dre y
-ph ill</w>
-ane ous</w>
-nic ol</w>
-men dez</w>
-disapp ro
-ch ner</w>
-through s</w>
-shen mue</w>
-east man</w>
-ðŁIJ İ
-yu ck</w>
-under tale</w>
-re ys</w>
-go beavs</w>
-eng en</w>
-c na</w>
-mer r
-bir k
-ãģ¨ç¹ĭãģ ĮãĤĬãģŁãģĦ</w>
-âĥ£ @</w>
-yn na</w>
-ste ed</w>
-offen der</w>
-at um</w>
-vani shing</w>
-presi denti
-love them</w>
-g nocchi</w>
-fri ggin</w>
-per il</w>
-mad hya</w>
-ag ne</w>
-dee jay
-mar nock</w>
-m tb
-fold able</w>
-@ ___</w>
-stand re
-bron x
-bow ski</w>
-fin ite</w>
-cro ckett</w>
-b sf</w>
-ge tit</w>
-seren awilliams</w>
-mir o</w>
-ignati us</w>
-sla y
-rin se</w>
-fon due</w>
-sel dom</w>
-s more</w>
-gan i</w>
-dy ce</w>
-dmit ry</w>
-cru mb
-late post</w>
-pri mark</w>
-oh ana</w>
-flor als</w>
-do a</w>
-remembrance day</w>
-d ds</w>
-azi one</w>
-toon ami</w>
-air port
-æĿ ±
-th ad
-fi st
-dine sh</w>
-dr who</w>
-ad words</w>
-admi rer</w>
-pro je
-kyrgy z
-à «
-manife station</w>
-le wan
-j ic
-thi bau
-le ased</w>
-van ity
-nouri shed</w>
-never theless</w>
-aug mente
-fu elled</w>
-che ad
-wil shere</w>
-ru di
-p z</w>
-my co
-mor ro</w>
-herbali fe</w>
-hardro ck
-de man</w>
-dre ality</w>
-sp ades</w>
-ce vic
-bha i
-bar on
-ultimat efan
-hou news</w>
-to bi</w>
-stru t</w>
-ke el</w>
-affili ation</w>
-the masters</w>
-sm al
-hu e
-este ban</w>
-con v</w>
-om nic
-datab ases</w>
-co v</w>
-ter ti
-st g</w>
-snoop dogg</w>
-metab ol
-leth bridge</w>
-ðŁı» âĢįâĻĢï¸ı
-year ling</w>
-residente vil</w>
-nws l</w>
-iy aki</w>
-griez mann</w>
-c ous</w>
-ðŁĵĿ :</w>
-tor ian</w>
-sam i
-ðŁĶ¥ðŁĶ¥ ðŁĶ¥ðŁĶ¥ðŁĶ¥</w>
-g are</w>
-alli ances</w>
-whit field</w>
-we ther</w>
-refin ing</w>
-coy i</w>
-kra ken</w>
-ðŁĺĺ âĿ¤</w>
-singul arity</w>
-lil i</w>
-h ns</w>
-bol dand
-waw rinka</w>
-misogy ny</w>
-lo vers
-c q</w>
-b dg</w>
-ad ona</w>
-gar ter</w>
-women of
-sc d</w>
-recogn ising</w>
-mun a</w>
-str ou
-sign alling</w>
-lare do</w>
-hell boy</w>
-alek sand
-un available</w>
-pedi atric
-as in
-mer ia</w>
-ri shi
-futuri sm</w>
-w ye
-polari zed</w>
-e we</w>
-pro pel</w>
-in forms</w>
-cre ase</w>
-~ "</w>
-arti ston
-like for
-heidel berg</w>
-er ra</w>
-life in
-len ny
-inter rupt</w>
-cohe rent</w>
-ca z
-vick ers</w>
-le veled</w>
-f bs</w>
-cab ins</w>
-bu mmed</w>
-apost les</w>
-we h
-ten don</w>
-souven irs</w>
-infu ri
-pier ce
-asse t
-m las</w>
-go th
-di ggin</w>
-ann as
-yl or</w>
-th waite</w>
-sw el
-pan era</w>
-mur derers</w>
-croo ked
-bs go</w>
-ac u</w>
-a on</w>
-re an</w>
-one of
-ko hl</w>
-bloo dh
-pest icide</w>
-lost dog</w>
-fle xing</w>
-ëĤ ĺ
-su pra</w>
-eter nally</w>
-ðŁļ Ļ</w>
-pa olo
-ol an
-mom o
-is elle</w>
-captain marvel</w>
-s lou
-mistak enly</w>
-akhi lesh</w>
-mer t</w>
-il inan</w>
-bu on</w>
-bal kan</w>
-mir ro
-mill en
-der ail
-dam on
-tit i</w>
-bi os</w>
-re don
-pic ard</w>
-par te</w>
-ðŁ¤ Ł
-Ø º
-son ics</w>
-fir sth
-dd c</w>
-veg ans</w>
-tur ban</w>
-ni gan</w>
-lot tie</w>
-lyn don</w>
-star buck
-pink floyd</w>
-life styles</w>
-am ara</w>
-a she
-r sc</w>
-val a</w>
-sm er
-cw gc</w>
-cli ent
-buen as</w>
-jag an</w>
-coo ps</w>
-ðŁijij ðŁijij
-speci alizes</w>
-snag ged</w>
-g lar
-ben net</w>
-wildlife wednesday</w>
-bow den</w>
-pi k</w>
-art in</w>
-empor ium</w>
-ar l</w>
-re ba</w>
-pas ser</w>
-disappo ints</w>
-additi ve</w>
-âľĬ ðŁı½</w>
-bay er
-missou la</w>
-ha skell</w>
-comm ences</w>
-ni x
-ne man</w>
-explo ited</w>
-plastic surgery</w>
-cc d</w>
-aso cial</w>
-vo t</w>
-sie gel</w>
-fro ome</w>
-kap am
-far a</w>
-e ha</w>
-pro bes</w>
-mw f</w>
-meet ing
-p bb
-ak ins</w>
-mistle toe</w>
-kingdom hearts</w>
-for kids</w>
-ec r</w>
-bal e
-escor ts</w>
-adidas originals</w>
-k wa</w>
-k ts</w>
-hallo ffame</w>
-ðŁĺį .</w>
-wag s</w>
-pot ted</w>
-o wing</w>
-honey comb</w>
-he fty</w>
-uro logy</w>
-mer le</w>
-b pd</w>
-stri pping</w>
-re ich
-k state
-gu ay
-yon ge</w>
-shak ti
-g loom</w>
-bat t</w>
-son om
-n ery</w>
-el ba</w>
-blan ks</w>
-hel le
-triple ts</w>
-bom bay
-ak arta</w>
-ab ia</w>
-transm itted</w>
-rol f</w>
-ja is
-angular js</w>
-fi erc
-m ss</w>
-trac e
-ॠĩ
-tom bs</w>
-old man</w>
-kom bucha</w>
-fo l</w>
-e health</w>
-cere als</w>
-are lli</w>
-in ari</w>
-ðŁĴ ©
-wo l</w>
-liber ties</w>
-fa wn</w>
-af firm</w>
-nun avut</w>
-hyster ical</w>
-k drama</w>
-art es</w>
-âĢ¢âĢ¢âĢ¢âĢ¢ âĢ¢âĢ¢âĢ¢âĢ¢
-valent in</w>
-man slaughter</w>
-gal es</w>
-eo in</w>
-energi zed</w>
-del s</w>
-with draws</w>
-st les</w>
-sar castic</w>
-ram esh
-incredi bles</w>
-lock hart</w>
-ya wn</w>
-ultimatefan live</w>
-oooooooo oooooooo
-mu en
-guru dev</w>
-te er</w>
-pe eling</w>
-new snow</w>
-lingui stics</w>
-direc tv</w>
-ag end
-uni lever</w>
-ru ger</w>
-han dedly</w>
-ero se</w>
-li mel
-the c
-royal ties</w>
-fini shers</w>
-nr g</w>
-m gt</w>
-fid get</w>
-com ps</w>
-bac on
-aggre ssively</w>
-ab it</w>
-ch â
-tar de</w>
-slu gger</w>
-q anda</w>
-gre ening</w>
-d ats</w>
-ensla ved</w>
-spec tor</w>
-o ye
-fre ef
-b hand
-stop brexit</w>
-mis conceptions</w>
-cav a</w>
-ðŁĺįðŁĺįðŁĺįðŁĺį ðŁĺįðŁĺįðŁĺįðŁĺį
-multit asking</w>
-hou sel
-ferre ira</w>
-cen time
-ank les</w>
-jo dh
-hel ly</w>
-fro me</w>
-out tuesday</w>
-nar nia</w>
-bal aji</w>
-l bloggers</w>
-jyo ti</w>
-ðŁį ĩ</w>
-lan cia</w>
-cap ri
-y ap
-nat ash
-down fall</w>
-." âĢĶ</w>
-Ã ®
-ligam ent</w>
-coat ings</w>
-ai ded</w>
-hi ko</w>
-fall ing
-encryp ted</w>
-yeg food</w>
-infringe ment</w>
-cu di</w>
-ce p</w>
-ðŁĺį ðŁĺĤ</w>
-tra d
-super rugby</w>
-ed win
-wh iche
-vi meo</w>
-lay ne</w>
-in vigor
-he he
-dubrov nik</w>
-bie ber
-u tr
-sham an</w>
-op ers</w>
-ham ill</w>
-en ig</w>
-di f</w>
-ar um</w>
-scrap book</w>
-min h</w>
-diver gence</w>
-mckin non</w>
-life time
-guter res</w>
-wil le
-ple as</w>
-patt y
-mic ron
-k z
-dom aine</w>
-ru sher</w>
-m ds</w>
-ches ney</w>
-screw driver</w>
-âģ© ,</w>
-sle dge</w>
-hau er</w>
-chan a</w>
-stam ina</w>
-sprink ler</w>
-pl n</w>
-he ff
-bol ton
-om on
-car rington</w>
-accor dion</w>
-jor ge
-inter ception</w>
-in puts</w>
-gu ll
-tran scription</w>
-vanu atu</w>
-it ical</w>
-eth os</w>
-tic h</w>
-spac ey</w>
-pee king</w>
-u mi
-ha ger
-psycho tic</w>
-illi an
-illi a</w>
-bonnar oo</w>
-an ese</w>
-pu c
-laghate parth</w>
-en hall</w>
-econom ical</w>
-dre dge</w>
-% -</w>
-u we</w>
-tu bular</w>
-scoun cil</w>
-pe asants</w>
-fl er</w>
-tumb ler</w>
-he p</w>
-ford ham</w>
-row ley</w>
-initi als</w>
-ev asion</w>
-er nation</w>
-plu gins</w>
-coch ran</w>
-c attle
-acid ity</w>
-ðŁİĬ ðŁİī</w>
-re grann</w>
-jump man</w>
-ef ace</w>
-x ma
-patri archy</w>
-esco bar</w>
-cristi an</w>
-tip ton</w>
-nu eva</w>
-hack ney
-back seat</w>
-kill arney</w>
-aid an
-sta dion</w>
-simul taneous</w>
-ida ho
-a je
-u th
-figu re
-clo s</w>
-bur k
-volun tar
-rec ite</w>
-macfar lane</w>
-cur few</w>
-bou do
-w gn
-sti x</w>
-sla p
-scrat ched</w>
-philli p
-jour ne
-ex pelled</w>
-wa z</w>
-u ke
-tati ana</w>
-ou e</w>
-ho pp
-dimit ri</w>
-ðŁĵ £
-mato logist</w>
-electri fying</w>
-blu ffs</w>
-bill smafia</w>
-az cardinals</w>
-y aa
-x mas
-shar a</w>
-r ith</w>
-g ills</w>
-dre s
-bar ton
-authori zation</w>
-imperi alism</w>
-home of
-to do
-foot path</w>
-band width</w>
-visit spain</w>
-moh sin</w>
-erup ted</w>
-mi ki</w>
-insig nia</w>
-mike l</w>
-ss h</w>
-ger a</w>
-bank holiday
-aw an
-t weak</w>
-star craft</w>
-e al
-construc tion
-skelet ons</w>
-le ep
-ine m</w>
-bar clay
-ship wreck</w>
-monsi eur</w>
-yo h</w>
-ron t</w>
-form ative</w>
-ser o
-le p
-horse man</w>
-hoo sier</w>
-haz mat</w>
-cylin ders</w>
-cen ti
-ðŁĴ¥ðŁĴ¥ ðŁĴ¥</w>
-re em</w>
-na ire</w>
-mus ically</w>
-gras shopper</w>
-est onian</w>
-termin ology</w>
-ro main</w>
-blogger rt</w>
-tox in</w>
-stan ce
-cultiv ated</w>
-an ast
-ðŁIJ į
-shi mano</w>
-go pher</w>
-ene i</w>
-recycla ble</w>
-gam ification</w>
-fight for
-c q
-avoc ados</w>
-ke ys
-eli ke
-gly cer
-shak ur</w>
-mobili zation</w>
-gal ley</w>
-expla in
-ex changed</w>
-pe th</w>
-obe dience</w>
-illa ge</w>
-en nis
-ãĥ ŀ
-wi v</w>
-walla bies</w>
-ma ar</w>
-ig ers</w>
-fin tech
-fin alized</w>
-wo j
-meaning less</w>
-in field</w>
-onna ise</w>
-e et</w>
-bron te</w>
-pass ages</w>
-ðŁij §
-strick land</w>
-northern lights</w>
-lom ond</w>
-h tc
-wr ay</w>
-shi fter</w>
-di alog</w>
-ðŁį į</w>
->> >>>></w>
-te atime</w>
-ste ch
-sic huan</w>
-qu ill</w>
-fran ca
-comple mentary</w>
-bar rington</w>
-marcu s
-mal am</w>
-goo oo</w>
-for sa
-elec tra</w>
-af s</w>
-âĹ Ĩ</w>
-tri fe
-sn azzy</w>
-fo lia</w>
-and olan</w>
-after dark</w>
-wood son</w>
-stra de</w>
-litt lest</w>
-o gun
-con wy</w>
-co wards</w>
-ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤðŁĺĤ</w>
-íĬ ¸
-se ul
-mur phy
-dun ks</w>
-kapil shar
-jo achim</w>
-wom ack</w>
-equal ity
-aver ages</w>
-a ine
-ðŁ¦ Ī</w>
-tac ular</w>
-dis ability
-u ked
-mid century</w>
-bar thol
-teas ers</w>
-tab ern
-nj caa</w>
-sp out</w>
-op i</w>
-ku bball</w>
-bl om
-so ar
-popu lism</w>
-meth yl
-ðŁijĬ ðŁı¼
-o spre
-alo ils</w>
-ðŁĵ ĸ
-ðŁĮ ļ
-x er
-sp illing</w>
-publ ica</w>
-car dam
-adi sh</w>
-sa cha</w>
-p kg</w>
-bu da</w>
-lyric ist</w>
-i bc</w>
-gru mp
-ho ver</w>
-hal ep</w>
-anti body</w>
-anem one</w>
-âĻ¥âĻ¥ âĻ¥âĻ¥
-m cl
-litho graph</w>
-cc u</w>
-s fest</w>
-path ic</w>
-calli ster</w>
-otta wa
-gun sn
-rut ger
-hali but</w>
-en vision</w>
-differenti ate</w>
-ðŁļĢ ðŁļĢ
-pir an
-lat el
-uc n</w>
-trou bad
-ra ine
-fierc ely</w>
-learn english</w>
-lea se
-wex mondays</w>
-em it</w>
-dray ton</w>
-bur rell</w>
-scuba diving</w>
-hol ler</w>
-dr u</w>
-clo cked</w>
-w ral</w>
-ap ro</w>
-trans lucent</w>
-w bo</w>
-patri arch</w>
-mo ja
-lan nister</w>
-fish ery</w>
-ne derland</w>
-mil dly</w>
-mi rai</w>
-ma ko</w>
-ja p</w>
-ðŁĺ©ðŁĺ© ðŁĺ©</w>
-pro statec
-p anna</w>
-ar ama</w>
-under taking</w>
-tomp kins</w>
-ne op
-soli ds</w>
-sav oury</w>
-e ames</w>
-cut lery</w>
-wood bridge</w>
-steam er</w>
-ri zzo</w>
-wild cat
-rat na</w>
-lamin ated</w>
-kin eni</w>
-jal ap
-ai des</w>
-acknowle dges</w>
-?! ?!?!</w>
-! ðŁİī</w>
-w afc</w>
-mag gio</w>
-ha ves</w>
-dar je
-of i</w>
-gr il
-v asi
-bru x
-mo hd</w>
-fake speare</w>
-arn old
-r mb</w>
-for be
-wal leye</w>
-ro di
-therapeu tics</w>
-strate gi
-ob ste
-mu dder</w>
-download able</w>
-dd ings</w>
-d ca</w>
-asi angames</w>
-campe on
-appropri ation</w>
-th century</w>
-ram atta</w>
-dra ped</w>
-bul lion</w>
-mu c</w>
-one x</w>
-se greg
-ophel ia</w>
-bod ily</w>
-âĿ¤ ðŁĺį</w>
-wi zar
-te ased</w>
-ade my</w>
-to id</w>
-sur a</w>
-lazar us</w>
-sn ickers</w>
-ma se
-lo h
-bow ed</w>
-bibli o
-x change</w>
-har lan</w>
-gho shal</w>
-flavor ful</w>
-bha gat</w>
-alle z</w>
-whiche ver</w>
-ten stein</w>
-disc er
-organ iser</w>
-mt g
-dream liner</w>
-t se
-hok kaido</w>
-mo k
-indulg ent</w>
-hick man</w>
-blin ded</w>
-al yn
-aaa ah</w>
-sp ool</w>
-lough borough</w>
-inter pret
-et v
-aristo tle</w>
-optimi zing</w>
-avici i</w>
-madu rai</w>
-ju li</w>
-naw az
-mat chups</w>
-ab ide</w>
-paint ing
-w elling</w>
-vel i</w>
-octag on</w>
-in scribed</w>
-po king</w>
-plac er</w>
-life cycle</w>
-kili g</w>
-g sp</w>
-eli ves</w>
-cle ments</w>
-na sheed</w>
-me sut</w>
-incarcer ated</w>
-dist illed</w>
-wal ang</w>
-delic acy</w>
-del gado</w>
-che z
-ch ita</w>
-ad ero</w>
-tu x</w>
-pati l</w>
-o do
-abh cosmetics</w>
-tv c</w>
-p bc</w>
-in accurate</w>
-hardwork paysoff</w>
-ball er
-quot ation</w>
-merchandi sing</w>
-ga stri
-defen ses</w>
-dro gba</w>
-bex hill</w>
-ban kno
-win ona</w>
-si eg
-p gs</w>
-hahah ha</w>
-agu chi</w>
-su bram
-mirac le
-de sch
-li bre
-ba cher</w>
-ent ine</w>
-bbcra di
-lou dest</w>
-r ps</w>
-pi erc
-fr yer</w>
-storm trooper</w>
-rafael nadal</w>
-pas co</w>
-exhau stion</w>
-epic onetsy</w>
-rc tid</w>
-kel lie</w>
-ga ines</w>
-d bz</w>
-sm riti
-s bridge</w>
-lim ited
-cla w
-technic al
-bio graphical</w>
-ado red</w>
-ภ°</w>
-exclu de</w>
-ac adia</w>
-key boards</w>
-fur man</w>
-so ca</w>
-sur u</w>
-ni ps</w>
-sw aps</w>
-server less</w>
-run e</w>
-pu ffy</w>
-north ampton
-nish ings</w>
-hen der
-cartri dges</w>
-gun shot</w>
-ðŁĵ ¹</w>
-fil ament</w>
-respon dents</w>
-pey ton
-mountaine er</w>
-mer ging</w>
-life span</w>
-intimid ation</w>
-p afc</w>
-nl wx</w>
-expan sive</w>
-pur r
-f ck</w>
-ca e</w>
-at ti
-tele thon</w>
-so hn</w>
-mend el
-lo pes</w>
-dor i</w>
-un broken</w>
-te red
-tast ings</w>
-in active</w>
-disin tegr
-t assel</w>
-share the
-pi ano
-is lay</w>
-air space</w>
-z awa</w>
-ricci ardo</w>
-ming ton
-fresh er</w>
-cur ry
-re vs</w>
-pharo ah</w>
-h mv</w>
-exhilar ating</w>
-wh oo</w>
-lin kin</w>
-kri spy</w>
-competen cy</w>
-ste wards</w>
-ne bu
-kat su
-ad mins</w>
-baz ar</w>
-as ar</w>
-giving back</w>
-s summit</w>
-song z</w>
-lin us</w>
-raj kumar</w>
-farm ington</w>
-fanta sia</w>
-ðŁĺ´ ðŁĺ´</w>
-so bri
-lis se</w>
-barry more</w>
-pri sm
-blo b</w>
-sen ew
-mono xide</w>
-exp ire</w>
-eigh teen</w>
-di pper</w>
-xi ao</w>
-kil t</w>
-hin ch
-bbc sport</w>
-bam boo
-p ter
-ex al
-ðŁ¦ ĭ
-ham lin</w>
-expe ditions</w>
-star gazing</w>
-food security</w>
-wy lie</w>
-ul f</w>
-st ingly</w>
-on storm</w>
-lo eb</w>
-bro ome</w>
-bn ha</w>
-pancre atic</w>
-eli ve
-!!!!!!!! !!!</w>
-ther apper</w>
-ortho pedic</w>
-avengers endgame</w>
-antit rust</w>
-ìļ °</w>
-go te</w>
-om d</w>
-off side</w>
-gy llen
-win eries</w>
-white water</w>
-ad l</w>
-lu pita</w>
-exce eds</w>
-consi sted</w>
-chew bacca</w>
-ash leigh</w>
-nhl jets</w>
-is san
-sh ld</w>
-hay at</w>
-cran berries</w>
-ðŁ¤ĺ ðŁı½</w>
-rock the
-spring training</w>
-fall out
-dairy free</w>
-wa j</w>
-un decided</w>
-so wn</w>
-rc n</w>
-north wales</w>
-htt r</w>
-fu mble</w>
-d its</w>
-comp elled</w>
-popu list</w>
-min ted</w>
-blan chett</w>
-. ''</w>
-pro pulsion</w>
-m illa</w>
-au berg
-her tz</w>
-h ta</w>
-u daipur</w>
-serendip ity</w>
-azte cs</w>
-als ace</w>
-ðŁIJ ij</w>
-lu n</w>
-sho es
-char li</w>
-gar za</w>
-ðŁĴ Ł
-pro biotics</w>
-fox tv</w>
-ol is</w>
-mi ff
-loc alized</w>
-diffu ser</w>
-si gue</w>
-fun ko
-rend ous</w>
-ðŁĴ ij</w>
-jeky ll</w>
diff --git a/MacLab-Era3D-512-6view/tokenizer/special_tokens_map.json b/MacLab-Era3D-512-6view/tokenizer/special_tokens_map.json
deleted file mode 100644
index 4473e143ec2843c3cf9d6db8b1062f1e71076615..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/tokenizer/special_tokens_map.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|startoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "!",
-  "unk_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
-}
diff --git a/MacLab-Era3D-512-6view/tokenizer/tokenizer_config.json b/MacLab-Era3D-512-6view/tokenizer/tokenizer_config.json
deleted file mode 100644
index 5f7b9260a5b05507390f563c9277c19128c9a74c..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/tokenizer/tokenizer_config.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "add_prefix_space": false,
-  "added_tokens_decoder": {
-    "0": {
-      "content": "!",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "49406": {
-      "content": "<|startoftext|>",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "49407": {
-      "content": "<|endoftext|>",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
-  "bos_token": "<|startoftext|>",
-  "clean_up_tokenization_spaces": true,
-  "do_lower_case": true,
-  "eos_token": "<|endoftext|>",
-  "errors": "replace",
-  "model_max_length": 77,
-  "pad_token": "!",
-  "tokenizer_class": "CLIPTokenizer",
-  "unk_token": "<|endoftext|>"
-}
diff --git a/MacLab-Era3D-512-6view/tokenizer/vocab.json b/MacLab-Era3D-512-6view/tokenizer/vocab.json
deleted file mode 100644
index 521b2c5def638d17b1e463ce25597140a1720005..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/tokenizer/vocab.json
+++ /dev/null
@@ -1,49410 +0,0 @@
-{
-  "!": 0,
-  "!!": 1443,
-  "!!!": 11194,
-  "!!!!": 4003,
-  "!!!!!!!!": 11281,
-  "!!!!!!!!!!!!!!!!": 30146,
-  "!!!!!!!!!!!</w>": 49339,
-  "!!!!!!!!!!</w>": 35579,
-  "!!!!!!!!!</w>": 28560,
-  "!!!!!!!!</w>": 21622,
-  "!!!!!!!</w>": 15203,
-  "!!!!!!</w>": 9168,
-  "!!!!!</w>": 5203,
-  "!!!!</w>": 2360,
-  "!!!\"</w>": 28048,
-  "!!!)</w>": 42532,
-  "!!!</w>": 995,
-  "!!\"</w>": 20556,
-  "!!#</w>": 34997,
-  "!!)</w>": 28352,
-  "!!</w>": 748,
-  "!!@</w>": 40705,
-  "!\"</w>": 2947,
-  "!\"@</w>": 43819,
-  "!#</w>": 9670,
-  "!'</w>": 13222,
-  "!),</w>": 37904,
-  "!).</w>": 26225,
-  "!)</w>": 4571,
-  "!*</w>": 37737,
-  "!,</w>": 29325,
-  "!-</w>": 43499,
-  "!...</w>": 22121,
-  "!..</w>": 35475,
-  "!.</w>": 22517,
-  "!:)</w>": 31671,
-  "!:</w>": 17545,
-  "!</w>": 256,
-  "!?!</w>": 29767,
-  "!?!?</w>": 47081,
-  "!?</w>": 6004,
-  "!@</w>": 15117,
-  "!]</w>": 34466,
-  "!âĢ¦</w>": 35068,
-  "!âĿ¤ï¸ı</w>": 32559,
-  "!ðŁİī</w>": 49085,
-  "!ðŁĺĬ</w>": 43434,
-  "!ðŁĺį</w>": 36438,
-  "\"": 1,
-  "\"!</w>": 10377,
-  "\"\"": 41530,
-  "\"\"\"</w>": 25539,
-  "\"\"</w>": 8575,
-  "\"#</w>": 8345,
-  "\"'</w>": 31065,
-  "\"(</w>": 32741,
-  "\")</w>": 13112,
-  "\",</w>": 4332,
-  "\"-</w>": 9375,
-  "\"....</w>": 37785,
-  "\"...</w>": 9049,
-  "\"..</w>": 25403,
-  "\".</w>": 2811,
-  "\"/</w>": 39486,
-  "\":</w>": 7811,
-  "\";</w>": 37549,
-  "\"</w>": 257,
-  "\"?</w>": 11727,
-  "\"@</w>": 1512,
-  "\"@_</w>": 20236,
-  "\"[</w>": 36930,
-  "\"âĢ¦</w>": 33993,
-  "\"âĢĶ</w>": 41151,
-  "#": 2,
-  "##</w>": 15483,
-  "#...</w>": 31491,
-  "#:</w>": 30144,
-  "#</w>": 258,
-  "#@</w>": 35062,
-  "#âĢ¦</w>": 12834,
-  "#âĢİ</w>": 34262,
-  "$": 3,
-  "$$": 24233,
-  "$$$</w>": 31859,
-  "$$</w>": 14929,
-  "$)</w>": 39460,
-  "$.</w>": 34682,
-  "$</w>": 259,
-  "%": 4,
-  "%!</w>": 35070,
-  "%),</w>": 37819,
-  "%)</w>": 16063,
-  "%,</w>": 14505,
-  "%-</w>": 48784,
-  "%.</w>": 12475,
-  "%;</w>": 33379,
-  "%</w>": 260,
-  "&": 5,
-  "&&</w>": 27791,
-  "&</w>": 261,
-  "'": 6,
-  "'!</w>": 13781,
-  "'\"</w>": 19479,
-  "'#</w>": 15319,
-  "''": 46594,
-  "''</w>": 8445,
-  "')</w>": 19175,
-  "',</w>": 5662,
-  "'-</w>": 26152,
-  "'...</w>": 20474,
-  "'.</w>": 4645,
-  "':</w>": 7182,
-  "';</w>": 44517,
-  "'</w>": 262,
-  "'?</w>": 17242,
-  "'@</w>": 26397,
-  "'d</w>": 1896,
-  "'ll</w>": 1342,
-  "'m</w>": 880,
-  "'re</w>": 982,
-  "'s</w>": 568,
-  "'t</w>": 713,
-  "'ve</w>": 1200,
-  "'âĢ¦</w>": 42120,
-  "(": 7,
-  "(!)</w>": 30253,
-  "(\"</w>": 18741,
-  "(#</w>": 6229,
-  "($)</w>": 46597,
-  "($</w>": 15186,
-  "(&</w>": 15042,
-  "('</w>": 18235,
-  "((": 22944,
-  "(((</w>": 33287,
-  "((</w>": 13796,
-  "().</w>": 41737,
-  "()</w>": 8475,
-  "(*": 48004,
-  "(*</w>": 39575,
-  "(+</w>": 12903,
-  "(-</w>": 20228,
-  "(...</w>": 45159,
-  "(.</w>": 43055,
-  "(:</w>": 8528,
-  "(;</w>": 23983,
-  "(</w>": 263,
-  "(?)</w>": 22885,
-  "(@</w>": 2181,
-  "(£</w>": 33987,
-  "(©</w>": 44886,
-  "(ðŁĵ·:</w>": 34610,
-  "(ðŁĵ·</w>": 37999,
-  "(ðŁĵ¸:</w>": 44422,
-  "(ðŁĵ¸</w>": 45204,
-  ")": 8,
-  ")!!</w>": 47518,
-  ")!</w>": 7805,
-  ")\"</w>": 13046,
-  ")#</w>": 39981,
-  ")'</w>": 23613,
-  ")(</w>": 27956,
-  "))": 13720,
-  "))))": 42911,
-  "))))</w>": 34181,
-  ")))</w>": 18305,
-  "))</w>": 5167,
-  "),</w>": 2361,
-  ")-</w>": 19034,
-  ")...</w>": 15274,
-  ")..</w>": 41822,
-  ").</w>": 1818,
-  ")/</w>": 26616,
-  "):</w>": 4143,
-  ");</w>": 19686,
-  ")</w>": 264,
-  ")?</w>": 18765,
-  ")@</w>": 41928,
-  ")_/": 45028,
-  ")_/¯</w>": 45781,
-  ")âĢ¦</w>": 41844,
-  "*": 9,
-  "*)</w>": 30956,
-  "**": 9825,
-  "****": 21326,
-  "********": 42974,
-  "*****</w>": 43571,
-  "****</w>": 25167,
-  "***</w>": 7829,
-  "**</w>": 4441,
-  "*,</w>": 41895,
-  "*-*</w>": 23568,
-  "*.</w>": 31304,
-  "*</w>": 265,
-  "*_*</w>": 44535,
-  "+": 10,
-  "+)</w>": 34810,
-  "++": 47298,
-  "+++</w>": 35986,
-  "++</w>": 19056,
-  "+,</w>": 35885,
-  "+.</w>": 25238,
-  "+/-</w>": 47614,
-  "+</w>": 266,
-  ",": 11,
-  ",\"</w>": 3823,
-  ",#</w>": 11215,
-  ",&</w>": 26905,
-  ",'</w>": 10599,
-  ",)</w>": 44493,
-  ",,": 21340,
-  ",,,,</w>": 33225,
-  ",,,</w>": 14811,
-  ",,</w>": 8844,
-  ",-</w>": 29821,
-  ",...</w>": 20365,
-  ",.</w>": 41277,
-  ",</w>": 267,
-  ",@</w>": 13975,
-  ",âĢ¦</w>": 14601,
-  "-": 12,
-  "-\"</w>": 18646,
-  "-#</w>": 10151,
-  "-$</w>": 24946,
-  "-'</w>": 28010,
-  "-(</w>": 33345,
-  "-)</w>": 3535,
-  "-*</w>": 21527,
-  "--": 2154,
-  "----": 5753,
-  "--------": 11772,
-  "----------------": 23122,
-  "----</w>": 30164,
-  "----></w>": 35999,
-  "---</w>": 11079,
-  "---></w>": 14518,
-  "--</w>": 2432,
-  "--></w>": 6422,
-  "-->></w>": 47252,
-  "-.-</w>": 32765,
-  "-...</w>": 43147,
-  "-.</w>": 44040,
-  "-</w>": 268,
-  "-></w>": 5081,
-  "-@</w>": 10087,
-  "-_-</w>": 27227,
-  "-__": 42718,
-  "-âĢ¦</w>": 30047,
-  ".": 13,
-  ".!!</w>": 37805,
-  ".!</w>": 14030,
-  ".\"": 18650,
-  ".\"-</w>": 21234,
-  ".\"</w>": 1081,
-  ".\"âĢĶ</w>": 48703,
-  ".#</w>": 5014,
-  ".'\"</w>": 41558,
-  ".''</w>": 49379,
-  ".'</w>": 5938,
-  ".(</w>": 22294,
-  ".)</w>": 5376,
-  ".*</w>": 26145,
-  ".,</w>": 5276,
-  ".-</w>": 12481,
-  "..": 608,
-  "..!!</w>": 23707,
-  "..!</w>": 17994,
-  "..\"</w>": 15229,
-  "..#</w>": 15735,
-  "..,</w>": 47143,
-  "...": 3002,
-  "...!!!</w>": 38351,
-  "...!!</w>": 39915,
-  "...!</w>": 16860,
-  "...\"</w>": 5240,
-  "...#</w>": 8195,
-  "...&</w>": 44979,
-  "...'</w>": 23167,
-  "...(</w>": 37981,
-  "...)</w>": 14040,
-  "...,</w>": 42717,
-  "....": 2386,
-  "....\"</w>": 26689,
-  "....#</w>": 20346,
-  ".....": 34151,
-  ".....#</w>": 38867,
-  "........": 8246,
-  "................": 24855,
-  "............</w>": 42965,
-  "...........</w>": 35008,
-  "..........</w>": 25526,
-  ".........</w>": 19881,
-  "........</w>": 14720,
-  ".......</w>": 9917,
-  "......</w>": 5590,
-  ".....</w>": 3104,
-  "....</w>": 1390,
-  "....@</w>": 29790,
-  "...:</w>": 34570,
-  "...</w>": 678,
-  "...?</w>": 16388,
-  "...@</w>": 12672,
-  "..</w>": 852,
-  "..?</w>": 23875,
-  "..@</w>": 21124,
-  "./</w>": 31975,
-  ".:</w>": 15811,
-  ".;</w>": 47596,
-  ".</w>": 269,
-  ".<</w>": 29442,
-  ".?</w>": 29294,
-  ".@</w>": 1230,
-  ".]</w>": 33511,
-  ".~</w>": 42651,
-  ".âĢ¦</w>": 18047,
-  ".âĿ¤ï¸ı</w>": 39085,
-  ".âłĢ</w>": 30097,
-  ".ðŁĺĤ</w>": 46580,
-  "/": 14,
-  "/#</w>": 13217,
-  "/$</w>": 36266,
-  "/-</w>": 19811,
-  "/.</w>": 39382,
-  "//": 15348,
-  "////": 46271,
-  "///</w>": 22734,
-  "//</w>": 3502,
-  "/</w>": 270,
-  "/@</w>": 8216,
-  "0": 15,
-  "0</w>": 271,
-  "1": 16,
-  "1</w>": 272,
-  "2": 17,
-  "2</w>": 273,
-  "3": 18,
-  "3</w>": 274,
-  "4": 19,
-  "4</w>": 275,
-  "5": 20,
-  "5</w>": 276,
-  "6": 21,
-  "6</w>": 277,
-  "7": 22,
-  "7</w>": 278,
-  "8": 23,
-  "8</w>": 279,
-  "9": 24,
-  "9</w>": 280,
-  ":": 25,
-  ":\"": 29498,
-  ":\")</w>": 46432,
-  ":\"</w>": 12089,
-  ":#</w>": 26625,
-  ":$</w>": 33769,
-  ":'": 8017,
-  ":'(</w>": 21250,
-  ":')</w>": 10701,
-  ":'</w>": 23851,
-  ":((</w>": 42496,
-  ":(</w>": 5965,
-  ":)": 11070,
-  ":))))</w>": 42339,
-  ":)))</w>": 21840,
-  ":))</w>": 10164,
-  ":).</w>": 39010,
-  ":)</w>": 1408,
-  ":*</w>": 12617,
-  ":-": 13021,
-  ":-(</w>": 25137,
-  ":-)</w>": 4223,
-  ":-</w>": 10323,
-  ":...</w>": 42140,
-  "://</w>": 12441,
-  ":/</w>": 13604,
-  "::": 33077,
-  ":::</w>": 43818,
-  "::</w>": 9788,
-  ":</w>": 281,
-  ":></w>": 39677,
-  ":@</w>": 14339,
-  ":]</w>": 43486,
-  ":|</w>": 45986,
-  ":âĢ¦</w>": 22365,
-  ";": 26,
-  ";))</w>": 41873,
-  ";)</w>": 3661,
-  ";-": 35657,
-  ";-)</w>": 10475,
-  ";;": 34824,
-  ";;</w>": 24492,
-  ";</w>": 282,
-  "<": 27,
-  "<-</w>": 47280,
-  "</</w>": 34308,
-  "<<": 24588,
-  "<</w>": 283,
-  "<<</w>": 16482,
-  "<<<</w>": 35054,
-  "<|endoftext|>": 49407,
-  "<|startoftext|>": 49406,
-  "=": 28,
-  "=))</w>": 39587,
-  "=)</w>": 17840,
-  "=</w>": 284,
-  "==": 11748,
-  "====": 21734,
-  "========": 38952,
-  "==></w>": 29688,
-  "=></w>": 9714,
-  ">": 29,
-  ">.<</w>": 38507,
-  ">:</w>": 36196,
-  "></w>": 285,
-  "><</w>": 28015,
-  ">>": 8270,
-  ">></w>": 2988,
-  ">>></w>": 6395,
-  ">>>>": 18461,
-  ">>>></w>": 18435,
-  ">>>>></w>": 32972,
-  ">>>>>></w>": 48947,
-  ">>>>>>>>": 41947,
-  ">_": 44144,
-  "?": 30,
-  "?!": 9785,
-  "?!!</w>": 25342,
-  "?!\"</w>": 29315,
-  "?!</w>": 2835,
-  "?!?!</w>": 16349,
-  "?!?!?!</w>": 49084,
-  "?!?!?</w>": 37619,
-  "?!?</w>": 11395,
-  "?\"</w>": 3283,
-  "?#</w>": 24018,
-  "?'</w>": 13610,
-  "?)</w>": 9626,
-  "?,</w>": 41628,
-  "?...</w>": 22641,
-  "?..</w>": 43905,
-  "?.</w>": 41251,
-  "?:</w>": 21067,
-  "?</w>": 286,
-  "??": 5195,
-  "??!!</w>": 43219,
-  "??!</w>": 37341,
-  "??\"</w>": 44996,
-  "??</w>": 2197,
-  "???": 40017,
-  "???</w>": 3824,
-  "????": 15936,
-  "????</w>": 10362,
-  "?????</w>": 21370,
-  "??????</w>": 34589,
-  "????????": 45091,
-  "?@</w>": 29258,
-  "?ðŁ¤Ķ</w>": 47928,
-  "@": 31,
-  "@#</w>": 39397,
-  "@.</w>": 43730,
-  "@/</w>": 28639,
-  "@</w>": 287,
-  "@@</w>": 30314,
-  "@_</w>": 2692,
-  "@__</w>": 17042,
-  "@___</w>": 48308,
-  "A": 32,
-  "A</w>": 288,
-  "B": 33,
-  "B</w>": 289,
-  "C": 34,
-  "C</w>": 290,
-  "D": 35,
-  "D</w>": 291,
-  "E": 36,
-  "E</w>": 292,
-  "F": 37,
-  "F</w>": 293,
-  "G": 38,
-  "G</w>": 294,
-  "H": 39,
-  "H</w>": 295,
-  "I": 40,
-  "I</w>": 296,
-  "J": 41,
-  "J</w>": 297,
-  "K": 42,
-  "K</w>": 298,
-  "L": 43,
-  "L</w>": 299,
-  "M": 44,
-  "M</w>": 300,
-  "N": 45,
-  "N</w>": 301,
-  "O": 46,
-  "O</w>": 302,
-  "P": 47,
-  "P</w>": 303,
-  "Q": 48,
-  "Q</w>": 304,
-  "R": 49,
-  "R</w>": 305,
-  "S": 50,
-  "S</w>": 306,
-  "T": 51,
-  "T</w>": 307,
-  "U": 52,
-  "U</w>": 308,
-  "V": 53,
-  "V</w>": 309,
-  "W": 54,
-  "W</w>": 310,
-  "X": 55,
-  "X</w>": 311,
-  "Y": 56,
-  "Y</w>": 312,
-  "Z": 57,
-  "Z</w>": 313,
-  "[": 58,
-  "[#</w>": 11115,
-  "[...": 39975,
-  "[...]</w>": 43790,
-  "[</w>": 314,
-  "[@</w>": 15148,
-  "[]</w>": 22240,
-  "\\": 59,
-  "\\'</w>": 41239,
-  "\\</w>": 315,
-  "]": 60,
-  "]\"</w>": 39434,
-  "],</w>": 34067,
-  "].</w>": 26262,
-  "]:</w>": 21641,
-  "]</w>": 316,
-  "][#</w>": 39009,
-  "][</w>": 29329,
-  "^": 61,
-  "^)</w>": 30720,
-  "^-": 43516,
-  "^.": 31552,
-  "^.^</w>": 35791,
-  "^</w>": 317,
-  "^^": 34454,
-  "^^</w>": 9064,
-  "^_": 14423,
-  "^_^</w>": 15995,
-  "_": 62,
-  "_'</w>": 44701,
-  "_(</w>": 36951,
-  "_)</w>": 37393,
-  "_*</w>": 36237,
-  "_,</w>": 31417,
-  "_-</w>": 23193,
-  "_.</w>": 26841,
-  "_/": 37647,
-  "_:</w>": 13109,
-  "_</w>": 318,
-  "__": 2355,
-  "__:</w>": 47043,
-  "__</w>": 3838,
-  "___": 43812,
-  "___</w>": 13530,
-  "____": 4727,
-  "____</w>": 25350,
-  "_____</w>": 38803,
-  "________": 9549,
-  "________________": 20115,
-  "`": 63,
-  "`</w>": 319,
-  "a": 64,
-  "a</w>": 320,
-  "aa": 1821,
-  "aa</w>": 3894,
-  "aaa": 14376,
-  "aaa</w>": 9583,
-  "aaaa": 6727,
-  "aaaa</w>": 19336,
-  "aaaaa</w>": 31095,
-  "aaaaaa</w>": 44413,
-  "aaaaaaaa": 23126,
-  "aaaah</w>": 49151,
-  "aaah</w>": 35856,
-  "aaay</w>": 37846,
-  "aab</w>": 34108,
-  "aac": 23251,
-  "aac</w>": 11346,
-  "aad": 20464,
-  "aad</w>": 35894,
-  "aaf": 37638,
-  "aaf</w>": 31534,
-  "aag": 42174,
-  "aah</w>": 28990,
-  "aaj": 28727,
-  "aaj</w>": 43411,
-  "aak": 37739,
-  "aal": 22268,
-  "aal</w>": 30208,
-  "aali": 27896,
-  "aaliyah</w>": 46577,
-  "aam": 12943,
-  "aam</w>": 22775,
-  "aama": 45018,
-  "aamaadmi": 45563,
-  "aamaadmiparty</w>": 46406,
-  "aamir</w>": 27456,
-  "aan": 20705,
-  "aan</w>": 13426,
-  "aand": 38054,
-  "aap": 12023,
-  "aap</w>": 12052,
-  "aapl</w>": 34516,
-  "aar": 4695,
-  "aar</w>": 13234,
-  "aard": 46932,
-  "aaron": 13948,
-  "aaron</w>": 7709,
-  "aas": 28542,
-  "aas</w>": 32205,
-  "aat": 34018,
-  "aat</w>": 35004,
-  "aau</w>": 35426,
-  "aay": 38281,
-  "aay</w>": 40249,
-  "aaz</w>": 26770,
-  "ab": 596,
-  "ab</w>": 3937,
-  "aba": 44204,
-  "aba</w>": 11102,
-  "abad": 33444,
-  "abad</w>": 7155,
-  "aban": 41662,
-  "aband": 8595,
-  "abandon</w>": 28805,
-  "abandoned</w>": 11227,
-  "abar": 17860,
-  "abar</w>": 39805,
-  "abas": 25402,
-  "abay</w>": 43542,
-  "abb": 38954,
-  "abb</w>": 38297,
-  "abba</w>": 30870,
-  "abbas": 37494,
-  "abbas</w>": 24412,
-  "abbey": 31927,
-  "abbey</w>": 10132,
-  "abbie</w>": 39949,
-  "abbo": 13536,
-  "abbot</w>": 44046,
-  "abbott": 43737,
-  "abbott</w>": 15649,
-  "abbrevi": 44843,
-  "abby": 30586,
-  "abby</w>": 14694,
-  "abc": 13137,
-  "abc</w>": 5334,
-  "abcnews</w>": 31566,
-  "abd</w>": 44093,
-  "abdel": 46511,
-  "abdomin": 35335,
-  "abdominal</w>": 39328,
-  "abdu": 13361,
-  "abduc": 17884,
-  "abducted</w>": 31520,
-  "abduction</w>": 36984,
-  "abdul": 14227,
-  "abdul</w>": 15593,
-  "abdullah</w>": 21317,
-  "abe": 15856,
-  "abe</w>": 12734,
-  "abee</w>": 36037,
-  "abel": 31938,
-  "abel</w>": 25318,
-  "abella</w>": 46156,
-  "aben": 40865,
-  "aber": 7828,
-  "aber</w>": 41867,
-  "aberdeen": 30539,
-  "aberdeen</w>": 17236,
-  "abh": 27484,
-  "abh</w>": 33649,
-  "abhcosmetics</w>": 49189,
-  "abhi": 18113,
-  "abhin": 44045,
-  "abhishek</w>": 44502,
-  "abi": 16867,
-  "abi</w>": 14161,
-  "abia</w>": 48604,
-  "abide</w>": 49163,
-  "abig": 20863,
-  "abigail</w>": 25686,
-  "abil": 21135,
-  "abilities</w>": 8724,
-  "ability": 35146,
-  "ability</w>": 3024,
-  "abit</w>": 48668,
-  "ablanc": 33716,
-  "able": 10102,
-  "able</w>": 863,
-  "abled</w>": 10655,
-  "ableg</w>": 24055,
-  "ables</w>": 8486,
-  "ableton</w>": 47169,
-  "ably</w>": 6748,
-  "abnormal</w>": 40934,
-  "abo": 2889,
-  "abo</w>": 21861,
-  "aboard</w>": 11661,
-  "abol": 31768,
-  "abolic</w>": 46827,
-  "abolish</w>": 47403,
-  "aboo</w>": 42433,
-  "abor": 8416,
-  "aboriginal</w>": 20422,
-  "abortion</w>": 12336,
-  "abortions</w>": 43218,
-  "aboss</w>": 46401,
-  "abou": 36455,
-  "abou</w>": 44053,
-  "abound</w>": 41037,
-  "abour</w>": 46637,
-  "about": 20204,
-  "about</w>": 781,
-  "abouts</w>": 36339,
-  "above": 35019,
-  "above</w>": 4348,
-  "aboy</w>": 37077,
-  "abpoli</w>": 44779,
-  "abq</w>": 38767,
-  "abr": 44932,
-  "abra": 10694,
-  "abra</w>": 35087,
-  "abraham": 40623,
-  "abraham</w>": 15869,
-  "abram": 33255,
-  "abrams</w>": 29852,
-  "abre": 22472,
-  "abre</w>": 46756,
-  "abri": 28605,
-  "abridged</w>": 45333,
-  "abroad</w>": 11253,
-  "abru": 46295,
-  "abs": 18431,
-  "abs</w>": 11109,
-  "absc": 25389,
-  "abscbn": 44260,
-  "abscbn</w>": 45810,
-  "absen": 32453,
-  "absence</w>": 19240,
-  "absent</w>": 30363,
-  "absol": 4624,
-  "absolu": 7055,
-  "absolut": 4666,
-  "absolute</w>": 7501,
-  "absolutely</w>": 4703,
-  "absor": 14303,
-  "absorb</w>": 35806,
-  "absorbed</w>": 45059,
-  "absorbing</w>": 46412,
-  "absorption</w>": 42210,
-  "abstr": 7530,
-  "abstract": 23885,
-  "abstract</w>": 10197,
-  "abstractart</w>": 31170,
-  "abstraction</w>": 47696,
-  "abstracts</w>": 40065,
-  "absur": 21639,
-  "absurd</w>": 29757,
-  "abt</w>": 9850,
-  "abu": 9167,
-  "abu</w>": 11787,
-  "abud": 20180,
-  "abudha": 21450,
-  "abudhabi</w>": 25256,
-  "abuja</w>": 23371,
-  "abun": 20544,
-  "abundance</w>": 23236,
-  "abundant</w>": 31611,
-  "abur": 23377,
-  "aburger</w>": 46660,
-  "abuse</w>": 7678,
-  "abused</w>": 23855,
-  "abuses</w>": 37132,
-  "abusing</w>": 36558,
-  "abusive</w>": 26858,
-  "abv</w>": 34172,
-  "aby": 16342,
-  "aby</w>": 31378,
-  "abyss</w>": 33632,
-  "abz</w>": 42292,
-  "ac": 546,
-  "ac</w>": 2816,
-  "aca</w>": 9213,
-  "acab": 41388,
-  "acacia</w>": 44047,
-  "acad</w>": 32537,
-  "acade": 2892,
-  "academia</w>": 22662,
-  "academic": 31178,
-  "academic</w>": 7935,
-  "academics</w>": 26417,
-  "academies</w>": 42569,
-  "academy": 29968,
-  "academy</w>": 4041,
-  "acadi": 41455,
-  "acadia</w>": 49236,
-  "acam": 26172,
-  "acan": 42227,
-  "acan</w>": 26318,
-  "acap": 32357,
-  "acar": 22232,
-  "acare</w>": 16961,
-  "acc": 26805,
-  "acc</w>": 9318,
-  "acca</w>": 30883,
-  "acce": 8564,
-  "acceler": 10161,
-  "accelerate</w>": 23619,
-  "accelerated</w>": 38513,
-  "accelerating</w>": 41821,
-  "acceleration</w>": 39387,
-  "accelerator</w>": 25261,
-  "accent": 28110,
-  "accent</w>": 18931,
-  "accents</w>": 31738,
-  "accenture</w>": 41853,
-  "accep": 4616,
-  "accept": 16447,
-  "accept</w>": 9338,
-  "acceptable</w>": 14209,
-  "acceptance</w>": 17090,
-  "accepted</w>": 9159,
-  "accepting</w>": 12855,
-  "accepts</w>": 22338,
-  "access": 7596,
-  "access</w>": 3822,
-  "accessi": 10787,
-  "accessibility</w>": 23407,
-  "accessible</w>": 13977,
-  "accessing</w>": 46339,
-  "accessories</w>": 10220,
-  "accessory</w>": 20417,
-  "acci": 4263,
-  "acci</w>": 33943,
-  "accident</w>": 6608,
-  "accidental</w>": 24895,
-  "accidentally</w>": 11061,
-  "accidents</w>": 22072,
-  "acclaimed</w>": 21172,
-  "acco</w>": 44730,
-  "accol": 33858,
-  "accolades</w>": 46731,
-  "accom": 23658,
-  "accommo": 34495,
-  "accommod": 14386,
-  "accommodate</w>": 34708,
-  "accommodation</w>": 18066,
-  "accommodations</w>": 45536,
-  "accomp": 24985,
-  "accompan": 14746,
-  "accompanied</w>": 20715,
-  "accompany</w>": 34142,
-  "accompanying</w>": 38179,
-  "accompli": 10205,
-  "accomplish</w>": 25542,
-  "accomplished</w>": 16462,
-  "accomplishment</w>": 26100,
-  "accomplishments</w>": 24965,
-  "accor": 4182,
-  "accord": 34293,
-  "accord</w>": 28513,
-  "according</w>": 4717,
-  "accordingly</w>": 35535,
-  "accordion</w>": 48760,
-  "accoun": 3081,
-  "account": 18424,
-  "account</w>": 4684,
-  "accountability</w>": 19377,
-  "accountable</w>": 24216,
-  "accountant</w>": 31026,
-  "accountants</w>": 37222,
-  "accounted</w>": 43951,
-  "accounting</w>": 14805,
-  "accounts</w>": 9974,
-  "accra</w>": 31900,
-  "accred": 17451,
-  "accreditation</w>": 27015,
-  "accredited</w>": 27647,
-  "acct</w>": 45569,
-  "accu": 5618,
-  "accumul": 19275,
-  "accumulation</w>": 37112,
-  "accur": 6551,
-  "accuracy</w>": 18423,
-  "accurate</w>": 8858,
-  "accurately</w>": 24206,
-  "accusations</w>": 33615,
-  "accuse</w>": 39414,
-  "accused</w>": 9434,
-  "accuses</w>": 27496,
-  "accusing</w>": 41474,
-  "acdc</w>": 45067,
-  "ace": 2675,
-  "ace</w>": 804,
-  "acea</w>": 35219,
-  "aceae</w>": 38153,
-  "acele": 40868,
-  "aceous</w>": 33610,
-  "acer": 37990,
-  "acer</w>": 25809,
-  "aces</w>": 5725,
-  "acet": 28735,
-  "acf</w>": 38389,
-  "ach": 972,
-  "ach</w>": 987,
-  "acha</w>": 22686,
-  "acharya</w>": 45780,
-  "achat</w>": 32706,
-  "ache": 27771,
-  "ache</w>": 7214,
-  "ached</w>": 17048,
-  "acher": 38442,
-  "acher</w>": 17936,
-  "achers</w>": 25051,
-  "aches</w>": 14823,
-  "achi": 3264,
-  "achi</w>": 9087,
-  "achiev": 8160,
-  "achieve": 14798,
-  "achieve</w>": 8175,
-  "achieved</w>": 12359,
-  "achievement</w>": 8245,
-  "achievements</w>": 16114,
-  "achiever</w>": 46286,
-  "achievers</w>": 44544,
-  "achieves</w>": 40123,
-  "achieving</w>": 16120,
-  "achilles</w>": 33327,
-  "achim</w>": 42335,
-  "aching</w>": 12864,
-  "acho</w>": 33130,
-  "achs</w>": 41195,
-  "aci": 4359,
-  "aci</w>": 34100,
-  "acia</w>": 30163,
-  "acial</w>": 32422,
-  "acid": 35474,
-  "acid</w>": 10085,
-  "acidity</w>": 48800,
-  "acids</w>": 27751,
-  "acies</w>": 20162,
-  "acin": 39442,
-  "acing</w>": 9442,
-  "acio</w>": 26202,
-  "acion": 44965,
-  "acion</w>": 24968,
-  "acional</w>": 26435,
-  "aciones</w>": 35832,
-  "acious</w>": 16020,
-  "acity</w>": 7511,
-  "ación</w>": 38175,
-  "ack": 877,
-  "ack</w>": 725,
-  "acked</w>": 5698,
-  "acker": 31201,
-  "acker</w>": 7940,
-  "ackeray</w>": 41843,
-  "acki</w>": 42857,
-  "acking</w>": 5515,
-  "ackles</w>": 28503,
-  "acknow": 13563,
-  "acknowle": 18100,
-  "acknowledge</w>": 25209,
-  "acknowledged</w>": 35913,
-  "acknowledges</w>": 49083,
-  "acknowledging</w>": 45645,
-  "acks</w>": 3858,
-  "acl": 47593,
-  "acl</w>": 23073,
-  "acle</w>": 6504,
-  "acles</w>": 34164,
-  "aclu</w>": 37354,
-  "acm</w>": 39317,
-  "acmilan</w>": 36500,
-  "acne</w>": 24195,
-  "aco": 9463,
-  "aco</w>": 8800,
-  "acol": 17431,
-  "acollege</w>": 43468,
-  "acom": 17224,
-  "acom</w>": 22342,
-  "acon": 11621,
-  "acon</w>": 11571,
-  "aconf</w>": 38851,
-  "acons</w>": 31599,
-  "acor": 22076,
-  "acorn</w>": 37537,
-  "acos</w>": 39943,
-  "acosta</w>": 31994,
-  "acou": 8794,
-  "acoun": 31295,
-  "acounty</w>": 45449,
-  "acoustic</w>": 10616,
-  "acoustics</w>": 43873,
-  "acp</w>": 19627,
-  "acqu": 7946,
-  "acquainted</w>": 40713,
-  "acqui": 12194,
-  "acquire</w>": 21576,
-  "acquired</w>": 15932,
-  "acquires</w>": 27376,
-  "acquiring</w>": 42785,
-  "acquis": 14207,
-  "acquisition</w>": 16543,
-  "acquisitions</w>": 39649,
-  "acr</w>": 43648,
-  "acre": 26749,
-  "acre</w>": 9493,
-  "acres</w>": 11630,
-  "acro": 21060,
-  "acrob": 40891,
-  "acron": 37770,
-  "across</w>": 2500,
-  "acrosse</w>": 40979,
-  "acruz</w>": 40455,
-  "acry": 10440,
-  "acrylic</w>": 12252,
-  "acs</w>": 11782,
-  "act": 10305,
-  "act</w>": 1393,
-  "acted</w>": 10971,
-  "acti": 4786,
-  "acting</w>": 6319,
-  "action": 12493,
-  "action</w>": 1816,
-  "actions</w>": 6271,
-  "activ": 3430,
-  "activate</w>": 26737,
-  "activated</w>": 22249,
-  "activation</w>": 26769,
-  "active": 19009,
-  "active</w>": 4046,
-  "actively</w>": 18645,
-  "activi": 7230,
-  "activism</w>": 20117,
-  "activist</w>": 10850,
-  "activists</w>": 12649,
-  "activities</w>": 6514,
-  "activity</w>": 6206,
-  "actment</w>": 44807,
-  "acton": 36167,
-  "acton</w>": 36697,
-  "actonclimate</w>": 43797,
-  "actor": 12181,
-  "actor</w>": 4035,
-  "actors</w>": 9255,
-  "actorslife</w>": 25117,
-  "actorvijay</w>": 34033,
-  "actress</w>": 5805,
-  "actresses</w>": 33639,
-  "acts</w>": 6816,
-  "actu": 2375,
-  "actual</w>": 7488,
-  "actually</w>": 2955,
-  "acu": 9204,
-  "acu</w>": 48475,
-  "aculture</w>": 38145,
-  "acup": 30869,
-  "acup</w>": 27278,
-  "acupuncture</w>": 40043,
-  "acur": 44719,
-  "acura</w>": 30120,
-  "acus</w>": 33710,
-  "acute</w>": 19734,
-  "acy": 18717,
-  "acy</w>": 2356,
-  "ad": 594,
-  "ad</w>": 680,
-  "ada": 25785,
-  "ada</w>": 1886,
-  "adaily</w>": 47254,
-  "adal": 46646,
-  "adam": 6037,
-  "adam</w>": 4944,
-  "adamlambert</w>": 27659,
-  "adams</w>": 7942,
-  "adan</w>": 41802,
-  "adani</w>": 37499,
-  "adap": 6341,
-  "adapt</w>": 22666,
-  "adaptation</w>": 16566,
-  "adapted</w>": 26657,
-  "adapter</w>": 21839,
-  "adapting</w>": 44120,
-  "adaptive</w>": 28672,
-  "adar": 27702,
-  "adar</w>": 32681,
-  "adas</w>": 23250,
-  "adata</w>": 39500,
-  "aday": 31367,
-  "aday</w>": 10280,
-  "adays</w>": 24337,
-  "adb</w>": 45630,
-  "adc</w>": 38201,
-  "add": 19408,
-  "add</w>": 3536,
-  "addams</w>": 38912,
-  "added</w>": 4149,
-  "adder</w>": 47557,
-  "addi</w>": 36378,
-  "addic": 5709,
-  "addict</w>": 14614,
-  "addicted</w>": 16275,
-  "addiction</w>": 11751,
-  "addictive</w>": 29638,
-  "addicts</w>": 29997,
-  "adding</w>": 8676,
-  "addis</w>": 43911,
-  "addison</w>": 32369,
-  "additi": 26927,
-  "addition</w>": 6698,
-  "additional</w>": 10666,
-  "additions</w>": 22575,
-  "additive</w>": 48546,
-  "addo</w>": 40001,
-  "address</w>": 5834,
-  "addressed</w>": 20817,
-  "addresses</w>": 12702,
-  "addressing</w>": 10594,
-  "adds</w>": 9944,
-  "addy</w>": 24746,
-  "ade": 2194,
-  "ade</w>": 1928,
-  "adecides</w>": 46374,
-  "aded</w>": 9994,
-  "adee</w>": 47054,
-  "adel": 4434,
-  "adel</w>": 27308,
-  "adelaide": 38193,
-  "adelaide</w>": 11611,
-  "adele": 42843,
-  "adele</w>": 21220,
-  "adelrey</w>": 43627,
-  "ademy</w>": 49123,
-  "aden": 28669,
-  "aden</w>": 28688,
-  "adena</w>": 23648,
-  "adequ": 18232,
-  "adequate</w>": 22281,
-  "ader</w>": 21365,
-  "adero</w>": 49185,
-  "aders</w>": 27672,
-  "ades</w>": 5793,
-  "adh</w>": 42301,
-  "adhd</w>": 32649,
-  "adhe": 21175,
-  "adhesive</w>": 38429,
-  "adi": 2486,
-  "adi</w>": 8779,
-  "adia</w>": 26874,
-  "adic</w>": 36780,
-  "adid": 8086,
-  "adidas": 22396,
-  "adidas</w>": 9589,
-  "adidasoriginals</w>": 48575,
-  "adies</w>": 45834,
-  "adifference</w>": 37217,
-  "adilla</w>": 41167,
-  "ading</w>": 15000,
-  "adio</w>": 15060,
-  "adirond": 36843,
-  "adish</w>": 49009,
-  "adity": 28596,
-  "aditya</w>": 37186,
-  "adityanath</w>": 44437,
-  "adjac": 32517,
-  "adjacent</w>": 33836,
-  "adjec": 45512,
-  "adju": 16413,
-  "adjun": 45995,
-  "adjust": 13784,
-  "adjust</w>": 28073,
-  "adjustable</w>": 20476,
-  "adjusted</w>": 30515,
-  "adjusting</w>": 41132,
-  "adjustment</w>": 36081,
-  "adjustments</w>": 36331,
-  "adl</w>": 49351,
-  "adler</w>": 30222,
-  "adm": 9892,
-  "adm</w>": 33604,
-  "admi": 11666,
-  "admin</w>": 12528,
-  "admini": 6434,
-  "administr": 12174,
-  "administration</w>": 9502,
-  "administrative</w>": 22424,
-  "administrator</w>": 22603,
-  "administrators</w>": 36123,
-  "admins</w>": 49297,
-  "admir": 17031,
-  "admiral</w>": 21013,
-  "admiration</w>": 39569,
-  "admire</w>": 17791,
-  "admired</w>": 36103,
-  "admirer</w>": 48344,
-  "admiring</w>": 29835,
-  "admission</w>": 11315,
-  "admissions</w>": 22463,
-  "admit</w>": 13769,
-  "admits</w>": 16332,
-  "admitted</w>": 20427,
-  "admitting</w>": 46148,
-  "adn</w>": 40339,
-  "adnan</w>": 42037,
-  "ado": 4775,
-  "ado</w>": 2933,
-  "adobe": 29256,
-  "adobe</w>": 16484,
-  "adog</w>": 44913,
-  "adol": 33512,
-  "adole": 22704,
-  "adolescent</w>": 36793,
-  "adolescents</w>": 45656,
-  "adolf</w>": 41179,
-  "adon": 25907,
-  "adona</w>": 48419,
-  "adop": 4183,
-  "adopt": 16441,
-  "adopt</w>": 11159,
-  "adoptable</w>": 36905,
-  "adoptdont": 19674,
-  "adoptdontshop</w>": 20089,
-  "adopted</w>": 12538,
-  "adopting</w>": 30158,
-  "adoption</w>": 11544,
-  "adopts</w>": 40853,
-  "ador": 4992,
-  "ador</w>": 9162,
-  "adora</w>": 40031,
-  "adorable</w>": 6298,
-  "adoration</w>": 46781,
-  "adore</w>": 15502,
-  "adored</w>": 49233,
-  "adores</w>": 30290,
-  "adorned</w>": 44953,
-  "ados</w>": 20079,
-  "adox</w>": 32188,
-  "adp</w>": 44426,
-  "adr</w>": 46189,
-  "adren": 24204,
-  "adrenaline</w>": 35552,
-  "adri": 5935,
-  "adrian": 25012,
-  "adrian</w>": 13163,
-  "adriana</w>": 41363,
-  "adrid</w>": 26562,
-  "adrien</w>": 47469,
-  "adrienne</w>": 40081,
-  "ads</w>": 2485,
-  "adu": 16882,
-  "adu</w>": 24446,
-  "adukone</w>": 30511,
-  "adul": 7222,
-  "adult": 42209,
-  "adult</w>": 7115,
-  "adulthood</w>": 40964,
-  "adults</w>": 9391,
-  "adv": 1647,
-  "adv</w>": 21018,
-  "advan": 33411,
-  "advance": 27291,
-  "advance</w>": 7022,
-  "advanced</w>": 7465,
-  "advancement</w>": 35437,
-  "advances</w>": 15852,
-  "advancing</w>": 21355,
-  "advani</w>": 48189,
-  "advant": 7017,
-  "advantage</w>": 8573,
-  "advantaged</w>": 38361,
-  "advantages</w>": 23506,
-  "adven": 41670,
-  "advent": 3071,
-  "advent</w>": 15199,
-  "adventcalendar</w>": 43492,
-  "adventur": 29627,
-  "adventure": 17251,
-  "adventure</w>": 4377,
-  "adventurer</w>": 48098,
-  "adventures</w>": 7941,
-  "adventurous</w>": 31179,
-  "adver": 4806,
-  "adverse</w>": 30348,
-  "adversity</w>": 32516,
-  "advert</w>": 19080,
-  "adverti": 5682,
-  "advertise</w>": 31473,
-  "advertised</w>": 38987,
-  "advertisement</w>": 18713,
-  "advertiser</w>": 41829,
-  "advertisers</w>": 45472,
-  "advertising</w>": 8158,
-  "adverts</w>": 44306,
-  "advice</w>": 4973,
-  "advis": 4634,
-  "advise</w>": 25962,
-  "advised</w>": 23196,
-  "adviser</w>": 20367,
-  "advisers</w>": 40984,
-  "advises</w>": 42761,
-  "advising</w>": 39648,
-  "advisor</w>": 12380,
-  "advisors</w>": 23197,
-  "advisory</w>": 10224,
-  "advoc": 6657,
-  "advocacy</w>": 14443,
-  "advocate</w>": 12044,
-  "advocates</w>": 17757,
-  "adwords</w>": 48343,
-  "ady": 41446,
-  "ady</w>": 8781,
-  "ae": 5548,
-  "ae</w>": 4542,
-  "aea</w>": 37048,
-  "aed</w>": 26912,
-  "aege": 42304,
-  "ael": 41533,
-  "ael</w>": 43340,
-  "aen": 43085,
-  "aer": 10195,
-  "aeri": 27685,
-  "aerial": 44866,
-  "aerial</w>": 12440,
-  "aero": 10196,
-  "aero</w>": 25026,
-  "aerob": 42824,
-  "aeron": 37286,
-  "aeronau": 42816,
-  "aerop": 27735,
-  "aerosmith</w>": 43253,
-  "aerospace</w>": 20530,
-  "aes": 10617,
-  "aes</w>": 35677,
-  "aest</w>": 40694,
-  "aesthe": 21181,
-  "aesthetic</w>": 16179,
-  "aesthetics</w>": 29295,
-  "aew</w>": 47108,
-  "af": 702,
-  "af</w>": 4391,
-  "afa</w>": 24953,
-  "afan": 47474,
-  "afar": 41637,
-  "afar</w>": 37866,
-  "afb</w>": 27022,
-  "afc": 29742,
-  "afc</w>": 6571,
-  "afcb</w>": 44276,
-  "afcon</w>": 30019,
-  "afd</w>": 44626,
-  "afe": 30487,
-  "afe</w>": 13912,
-  "afer": 44707,
-  "aff": 8849,
-  "aff</w>": 14864,
-  "affair</w>": 13998,
-  "affairs</w>": 9830,
-  "affe": 4556,
-  "affect</w>": 11361,
-  "affected</w>": 9715,
-  "affecting</w>": 18448,
-  "affection": 33780,
-  "affection</w>": 28381,
-  "affectionate</w>": 42578,
-  "affects</w>": 17285,
-  "affili": 12120,
-  "affiliate</w>": 18652,
-  "affiliated</w>": 37540,
-  "affiliation</w>": 48377,
-  "affinity</w>": 41451,
-  "affir": 25343,
-  "affirm": 42711,
-  "affirm</w>": 48625,
-  "affirmation</w>": 47495,
-  "affl": 34036,
-  "affleck</w>": 35584,
-  "afford": 7951,
-  "afford</w>": 13223,
-  "affordability</w>": 44828,
-  "affordable": 43944,
-  "affordable</w>": 8926,
-  "afg</w>": 33994,
-  "afgh": 9029,
-  "afghan</w>": 15919,
-  "afghanistan</w>": 9836,
-  "afi": 24074,
-  "afi</w>": 31958,
-  "afil": 27209,
-  "afire</w>": 42010,
-  "afirst</w>": 38601,
-  "afl": 15132,
-  "afl</w>": 14356,
-  "aflo": 41959,
-  "afm</w>": 38385,
-  "afootball</w>": 41694,
-  "afor": 43102,
-  "afore": 41468,
-  "afp</w>": 18311,
-  "afraid</w>": 9474,
-  "afri": 13888,
-  "afric": 2136,
-  "africa</w>": 3093,
-  "african": 17471,
-  "african</w>": 4736,
-  "africans</w>": 26534,
-  "afridi</w>": 37651,
-  "afrika</w>": 45833,
-  "afrin</w>": 45586,
-  "afro": 16267,
-  "afro</w>": 21795,
-  "afs</w>": 48960,
-  "aft</w>": 22693,
-  "after": 2278,
-  "after</w>": 953,
-  "afterdark</w>": 48966,
-  "afterlife</w>": 46790,
-  "aftermath</w>": 20958,
-  "afterno": 22330,
-  "afternoon": 39035,
-  "afternoon</w>": 2716,
-  "afternoons</w>": 31631,
-  "afterparty</w>": 35305,
-  "afterwards</w>": 23911,
-  "ag": 602,
-  "ag</w>": 5241,
-  "aga": 1050,
-  "aga</w>": 4654,
-  "again</w>": 1495,
-  "against": 23838,
-  "against</w>": 1601,
-  "agame</w>": 46943,
-  "agan": 42946,
-  "agan</w>": 9178,
-  "agar": 13199,
-  "agar</w>": 17544,
-  "agarwal</w>": 43117,
-  "agas": 20430,
-  "agate</w>": 25454,
-  "agatha</w>": 43896,
-  "agave</w>": 42671,
-  "agawa</w>": 39433,
-  "agazine</w>": 44942,
-  "age": 4758,
-  "age</w>": 805,
-  "aged</w>": 3889,
-  "ageing</w>": 25349,
-  "agen": 10101,
-  "agen</w>": 43696,
-  "agencies</w>": 13887,
-  "agency": 44885,
-  "agency</w>": 6270,
-  "agend": 48653,
-  "agenda</w>": 8728,
-  "agent": 21210,
-  "agent</w>": 6576,
-  "agents</w>": 10199,
-  "agentsof": 37074,
-  "agentsofshield</w>": 38801,
-  "ager": 44847,
-  "ager</w>": 10443,
-  "agers</w>": 22123,
-  "ages</w>": 2321,
-  "agg</w>": 45482,
-  "aggarwal</w>": 39386,
-  "agger": 27836,
-  "aggi": 36844,
-  "aggie": 44244,
-  "aggie</w>": 37618,
-  "aggies</w>": 31047,
-  "aggio</w>": 36685,
-  "aggrav": 35203,
-  "aggre": 10426,
-  "aggreg": 41968,
-  "aggregate</w>": 41318,
-  "aggression</w>": 28900,
-  "aggressive</w>": 16295,
-  "aggressively</w>": 48667,
-  "agh": 17917,
-  "agh</w>": 14402,
-  "aghan</w>": 31276,
-  "agi": 24036,
-  "agi</w>": 17645,
-  "agic</w>": 37652,
-  "agile</w>": 16276,
-  "agility</w>": 32161,
-  "aging</w>": 4336,
-  "agio</w>": 41746,
-  "agirl</w>": 35469,
-  "agle": 37035,
-  "agle</w>": 16702,
-  "agles": 36374,
-  "agles</w>": 22679,
-  "aglia</w>": 46912,
-  "agm</w>": 19162,
-  "agn": 36474,
-  "agna</w>": 43626,
-  "agne": 29374,
-  "agne</w>": 48303,
-  "agnes</w>": 26213,
-  "agno": 41540,
-  "ago": 6276,
-  "ago</w>": 1468,
-  "agomez</w>": 27127,
-  "agon": 26775,
-  "agon</w>": 14901,
-  "agony</w>": 36977,
-  "agor": 38920,
-  "agos</w>": 32657,
-  "agov</w>": 34227,
-  "agp</w>": 46048,
-  "agr": 36639,
-  "agra": 26660,
-  "agra</w>": 29830,
-  "agram</w>": 2447,
-  "agre": 3180,
-  "agreat": 37594,
-  "agree</w>": 5953,
-  "agreed</w>": 12774,
-  "agreeing</w>": 40720,
-  "agreement</w>": 8286,
-  "agreements</w>": 25865,
-  "agrees</w>": 17854,
-  "agri": 20527,
-  "agri</w>": 30326,
-  "agricul": 7234,
-  "agricultural</w>": 15440,
-  "agriculture</w>": 9720,
-  "agro": 33178,
-  "agro</w>": 44589,
-  "agron": 41314,
-  "agroup</w>": 40099,
-  "ags</w>": 16926,
-  "agt</w>": 39681,
-  "agu": 3922,
-  "agu</w>": 36544,
-  "agua</w>": 18482,
-  "aguchi</w>": 49206,
-  "ague</w>": 2095,
-  "aguero</w>": 42964,
-  "agues</w>": 7000,
-  "aguil": 27946,
-  "aguilar</w>": 44715,
-  "ah": 1772,
-  "ah</w>": 1288,
-  "aha": 12082,
-  "aha</w>": 8429,
-  "ahah</w>": 38661,
-  "ahaha</w>": 32423,
-  "ahahaha</w>": 42620,
-  "aham": 36036,
-  "ahan": 45061,
-  "ahan</w>": 19255,
-  "ahar": 31038,
-  "ahar</w>": 38760,
-  "ahe": 27688,
-  "ahead</w>": 3158,
-  "ahem</w>": 39995,
-  "ahh</w>": 13152,
-  "ahhh</w>": 14769,
-  "ahhhh</w>": 21054,
-  "ahhhhh</w>": 36392,
-  "ahi": 45349,
-  "ahi</w>": 24154,
-  "ahl</w>": 30433,
-  "ahmad": 32167,
-  "ahmad</w>": 16902,
-  "ahmadi": 38656,
-  "ahmadiyya</w>": 44865,
-  "ahmed": 19491,
-  "ahmed</w>": 12081,
-  "ahmedabad</w>": 26966,
-  "ahn</w>": 33405,
-  "aho": 28114,
-  "aho</w>": 38444,
-  "ahora</w>": 43113,
-  "ahouse</w>": 33197,
-  "ahoy</w>": 38652,
-  "ahs</w>": 16937,
-  "ahu": 11908,
-  "ahu</w>": 16515,
-  "ai": 2014,
-  "ai</w>": 2215,
-  "aia</w>": 27046,
-  "aib</w>": 34780,
-  "aic": 29454,
-  "aid": 13723,
-  "aid</w>": 5182,
-  "aida</w>": 33830,
-  "aidan": 48814,
-  "aidan</w>": 26945,
-  "aide": 31558,
-  "aide</w>": 9746,
-  "aided</w>": 48707,
-  "aiden</w>": 40020,
-  "aides</w>": 49082,
-  "aids</w>": 11759,
-  "aig": 27295,
-  "aig</w>": 46989,
-  "aii</w>": 22478,
-  "aik</w>": 42575,
-  "aiken</w>": 46342,
-  "ail": 1457,
-  "ail</w>": 9154,
-  "ailed</w>": 38919,
-  "ailing</w>": 29999,
-  "ails</w>": 27024,
-  "aim": 6787,
-  "aim</w>": 11255,
-  "aime</w>": 39872,
-  "aimed</w>": 20247,
-  "aimee</w>": 36318,
-  "aiming</w>": 21768,
-  "aimo</w>": 36706,
-  "aims</w>": 13326,
-  "ain": 8326,
-  "ain</w>": 2210,
-  "aine": 48983,
-  "aine</w>": 17634,
-  "ains</w>": 27621,
-  "aint": 29543,
-  "aint</w>": 13099,
-  "ainted</w>": 39933,
-  "aioli</w>": 43949,
-  "air": 1281,
-  "air</w>": 1922,
-  "aira": 35085,
-  "aira</w>": 46444,
-  "airasia</w>": 48020,
-  "airbnb</w>": 23098,
-  "airborne</w>": 22755,
-  "airbus</w>": 15324,
-  "aircraft</w>": 7706,
-  "airdrop</w>": 38434,
-  "aire</w>": 7682,
-  "aired</w>": 21938,
-  "aires</w>": 17034,
-  "airfield</w>": 40525,
-  "airforce</w>": 23511,
-  "airing</w>": 20453,
-  "airline</w>": 14847,
-  "airlines</w>": 8929,
-  "airmen</w>": 44499,
-  "airplane</w>": 16451,
-  "airplanes</w>": 33319,
-  "airplay</w>": 47024,
-  "airpollution</w>": 47362,
-  "airport": 48337,
-  "airport</w>": 3259,
-  "airports</w>": 21543,
-  "airs</w>": 18539,
-  "airshow</w>": 27139,
-  "airsoft</w>": 30134,
-  "airspace</w>": 49280,
-  "airstrikes</w>": 37220,
-  "airtel</w>": 34784,
-  "airtime</w>": 46617,
-  "airwaves</w>": 43910,
-  "airways</w>": 14299,
-  "airy</w>": 44453,
-  "ais": 7616,
-  "ais</w>": 11393,
-  "aise</w>": 30505,
-  "aish": 21946,
-  "aisha</w>": 40211,
-  "aishwar": 29687,
-  "aishwarya</w>": 44019,
-  "aisle</w>": 26917,
-  "ait": 25613,
-  "ait</w>": 40814,
-  "aj": 3990,
-  "aj</w>": 6342,
-  "aja": 42343,
-  "aja</w>": 19633,
-  "ajax</w>": 21933,
-  "ajay": 22494,
-  "ajay</w>": 28726,
-  "ajaydevgn</w>": 35515,
-  "aje": 48818,
-  "aje</w>": 33315,
-  "ajes</w>": 38791,
-  "aji": 26102,
-  "aji</w>": 21153,
-  "ajit</w>": 42261,
-  "ajith</w>": 24118,
-  "ajo</w>": 26958,
-  "aju": 36855,
-  "ak": 819,
-  "ak</w>": 1196,
-  "aka": 19154,
-  "aka</w>": 3412,
-  "akaif</w>": 45736,
-  "akan": 43678,
-  "akan</w>": 38244,
-  "akapoor</w>": 40064,
-  "akarta</w>": 48603,
-  "akb</w>": 41962,
-  "akbar</w>": 27180,
-  "ake": 10558,
-  "ake</w>": 5776,
-  "aked</w>": 6115,
-  "aker": 14245,
-  "aker</w>": 3074,
-  "akers</w>": 5788,
-  "akes</w>": 4764,
-  "akest</w>": 46679,
-  "akh": 14821,
-  "akh</w>": 30660,
-  "akhan</w>": 28158,
-  "akhi": 41660,
-  "akhilesh</w>": 48495,
-  "akhtar</w>": 45458,
-  "aki": 18173,
-  "aki</w>": 6592,
-  "akin": 24630,
-  "akin</w>": 13601,
-  "aking</w>": 1809,
-  "akins</w>": 48568,
-  "akira</w>": 34001,
-  "akis</w>": 27732,
-  "akistan</w>": 46221,
-  "akley</w>": 39908,
-  "ako": 44027,
-  "ako</w>": 14541,
-  "akon</w>": 47105,
-  "akos</w>": 44659,
-  "akrish": 37434,
-  "akron</w>": 26115,
-  "aks</w>": 2953,
-  "aksh": 28226,
-  "akshay": 21483,
-  "akshay</w>": 38914,
-  "akshaykumar</w>": 23624,
-  "akshi</w>": 42634,
-  "aku": 18151,
-  "aku</w>": 20815,
-  "aky</w>": 11977,
-  "al": 526,
-  "al</w>": 566,
-  "ala": 12783,
-  "ala</w>": 3449,
-  "alab": 6365,
-  "alabam": 45880,
-  "alabama</w>": 8422,
-  "alach": 24622,
-  "alad": 23074,
-  "aladdin</w>": 29951,
-  "alai</w>": 47072,
-  "alain</w>": 28999,
-  "alam": 16612,
-  "alam</w>": 16012,
-  "alamo": 41922,
-  "alamo</w>": 34632,
-  "alan": 9563,
-  "alan</w>": 5773,
-  "alana</w>": 43405,
-  "aland": 34304,
-  "aland</w>": 6819,
-  "alar": 34333,
-  "alarm</w>": 11321,
-  "alarming</w>": 37209,
-  "alarms</w>": 31236,
-  "alarts</w>": 31422,
-  "alas": 7276,
-  "alas</w>": 22412,
-  "alaska</w>": 9562,
-  "alaskan</w>": 33898,
-  "alastair</w>": 42062,
-  "alay": 30289,
-  "alay</w>": 36450,
-  "alaya</w>": 36397,
-  "alb": 45248,
-  "alba</w>": 25254,
-  "alban": 10882,
-  "albania</w>": 29170,
-  "albanian</w>": 47721,
-  "albans</w>": 44119,
-  "albany</w>": 17359,
-  "albat": 42797,
-  "albeit</w>": 38984,
-  "alber": 6413,
-  "albert": 34174,
-  "albert</w>": 9507,
-  "alberta</w>": 11048,
-  "alberto</w>": 22714,
-  "albi": 18512,
-  "albino</w>": 48062,
-  "albion</w>": 24071,
-  "albu": 2216,
-  "album": 40712,
-  "album</w>": 2431,
-  "albums</w>": 10705,
-  "albuquerque</w>": 31079,
-  "alcat": 35361,
-  "alche": 37909,
-  "alchemist</w>": 38913,
-  "alchemy</w>": 39501,
-  "alco": 6848,
-  "alco</w>": 45446,
-  "alcohol</w>": 9426,
-  "alcoholic</w>": 25098,
-  "ald": 4539,
-  "ald</w>": 2928,
-  "alda</w>": 46440,
-  "alde": 33114,
-  "alden": 17155,
-  "alden</w>": 27710,
-  "aldenrichards</w>": 20051,
-  "alder": 18220,
-  "alder</w>": 46571,
-  "aldi</w>": 23204,
-  "aldo</w>": 9933,
-  "aldridge</w>": 38084,
-  "alds</w>": 14285,
-  "aldu": 6505,
-  "aldub": 10532,
-  "aldub</w>": 15247,
-  "ale": 1440,
-  "ale</w>": 1336,
-  "alea</w>": 26518,
-  "aleague</w>": 38909,
-  "alec": 29804,
-  "alec</w>": 19954,
-  "alecoscino</w>": 47948,
-  "aled</w>": 4970,
-  "alee</w>": 24515,
-  "alej": 23440,
-  "alejandro</w>": 32950,
-  "alek": 26906,
-  "alek</w>": 43310,
-  "aleksand": 48429,
-  "alem</w>": 11825,
-  "aleppo</w>": 19258,
-  "aler": 25674,
-  "aler</w>": 27335,
-  "alert</w>": 4662,
-  "alerts</w>": 22144,
-  "ales": 44171,
-  "ales</w>": 5962,
-  "aless": 21864,
-  "alessandro</w>": 37344,
-  "alestine</w>": 31945,
-  "alex": 2959,
-  "alex</w>": 4134,
-  "alexa</w>": 16273,
-  "alexand": 10696,
-  "alexander": 25527,
-  "alexander</w>": 7563,
-  "alexandra</w>": 19054,
-  "alexandre</w>": 35711,
-  "alexandria</w>": 21171,
-  "alexis": 35023,
-  "alexis</w>": 14243,
-  "aley</w>": 21635,
-  "alf</w>": 27098,
-  "alfa</w>": 23482,
-  "alfar": 38870,
-  "alfie</w>": 28598,
-  "alfon": 31947,
-  "alfonso</w>": 41784,
-  "alfre": 20982,
-  "alfred</w>": 16553,
-  "alfredo</w>": 32291,
-  "algae</w>": 25654,
-  "algar": 36291,
-  "algarve</w>": 40290,
-  "alge": 24336,
-  "algebra</w>": 33694,
-  "alger": 18568,
-  "algeria</w>": 25257,
-  "algon": 33007,
-  "algori": 14912,
-  "algorithm</w>": 23295,
-  "algorithms</w>": 26039,
-  "alham": 23352,
-  "alhamdulil": 35129,
-  "alhamdulillah</w>": 38982,
-  "ali": 835,
-  "ali</w>": 3558,
-  "alia</w>": 2492,
-  "aliaa</w>": 36468,
-  "alian</w>": 3464,
-  "alias</w>": 40026,
-  "alibaba</w>": 39231,
-  "alic": 25265,
-  "alice": 23759,
-  "alice</w>": 9192,
-  "alici": 31630,
-  "alicia</w>": 20914,
-  "alie</w>": 8697,
-  "alien": 22846,
-  "alien</w>": 9639,
-  "aliens</w>": 14883,
-  "alier</w>": 39493,
-  "alies</w>": 38086,
-  "alife": 41347,
-  "alife</w>": 21100,
-  "alig": 21272,
-  "alight</w>": 36157,
-  "align</w>": 31160,
-  "aligned</w>": 29292,
-  "alignment</w>": 27267,
-  "alik</w>": 31141,
-  "alike</w>": 12665,
-  "alim": 42075,
-  "alin": 42746,
-  "alin</w>": 40063,
-  "alina</w>": 39529,
-  "aline</w>": 21799,
-  "aling</w>": 5169,
-  "alion</w>": 19049,
-  "alis": 21308,
-  "alis</w>": 20114,
-  "alisa</w>": 38918,
-  "alisation</w>": 42143,
-  "alise</w>": 36718,
-  "alised</w>": 25099,
-  "alism</w>": 5607,
-  "alison": 28653,
-  "alison</w>": 16970,
-  "alist": 44900,
-  "alist</w>": 3320,
-  "alistair</w>": 40551,
-  "alistic</w>": 22302,
-  "alists</w>": 5653,
-  "alit": 45566,
-  "alities</w>": 27925,
-  "ality</w>": 1694,
-  "alive": 40467,
-  "alive</w>": 4716,
-  "aliz": 30979,
-  "alization</w>": 8026,
-  "alize</w>": 10268,
-  "alized</w>": 6141,
-  "alizer</w>": 38922,
-  "alizes</w>": 26181,
-  "alizing</w>": 13023,
-  "alk": 30246,
-  "alk</w>": 21577,
-  "alkal": 33450,
-  "alkaline</w>": 39210,
-  "all": 813,
-  "all</w>": 615,
-  "alla": 13884,
-  "alla</w>": 14000,
-  "allabout": 43996,
-  "allah</w>": 6378,
-  "allan": 36552,
-  "allan</w>": 15404,
-  "allblacks</w>": 47728,
-  "allday</w>": 35862,
-  "alle": 4870,
-  "alle</w>": 29478,
-  "alled</w>": 7379,
-  "alleg": 7456,
-  "allegations</w>": 16992,
-  "alleged</w>": 12133,
-  "allegedly</w>": 14177,
-  "alleges</w>": 45051,
-  "allegh": 41479,
-  "allegheny</w>": 47851,
-  "allegi": 28832,
-  "allegiance</w>": 30955,
-  "allen": 16712,
-  "allen</w>": 6386,
-  "allenge</w>": 31387,
-  "aller": 10116,
-  "aller</w>": 30630,
-  "allergic</w>": 28809,
-  "allergies</w>": 28247,
-  "allergy</w>": 24408,
-  "allery</w>": 32542,
-  "alles</w>": 43354,
-  "allevi": 31682,
-  "alleviate</w>": 44799,
-  "alley": 36205,
-  "alley</w>": 10329,
-  "allez</w>": 49137,
-  "alli": 4123,
-  "alli</w>": 15268,
-  "alliance": 45404,
-  "alliance</w>": 8945,
-  "alliances</w>": 48403,
-  "allianz</w>": 45740,
-  "allie</w>": 25040,
-  "allied</w>": 20045,
-  "allies</w>": 17277,
-  "alligator</w>": 28574,
-  "allin": 45007,
-  "allin</w>": 22395,
-  "alline</w>": 48182,
-  "alling</w>": 2992,
-  "allis</w>": 45309,
-  "allison": 34602,
-  "allison</w>": 16578,
-  "allman</w>": 42611,
-  "allo": 8107,
-  "allo</w>": 18389,
-  "allocated</w>": 42716,
-  "allocation</w>": 35139,
-  "allon</w>": 46693,
-  "allot": 26363,
-  "allotment</w>": 33750,
-  "allow": 5645,
-  "allow</w>": 6722,
-  "allowance</w>": 35696,
-  "allowed</w>": 7885,
-  "allowing</w>": 12458,
-  "allows</w>": 9966,
-  "alloy</w>": 22467,
-  "alls</w>": 1997,
-  "allstar": 31247,
-  "allstar</w>": 22974,
-  "allstars</w>": 31198,
-  "allthe": 29253,
-  "allu": 20157,
-  "alluarjun</w>": 39333,
-  "allure</w>": 41814,
-  "ally": 7461,
-  "ally</w>": 769,
-  "alm</w>": 28303,
-  "alma": 32933,
-  "alma</w>": 18337,
-  "alman": 29394,
-  "almanac</w>": 41268,
-  "almighty</w>": 21898,
-  "almond</w>": 15646,
-  "almonds</w>": 30468,
-  "almost": 47534,
-  "almost</w>": 2671,
-  "aln": 47203,
-  "alo": 3435,
-  "alo</w>": 6183,
-  "aloe</w>": 30728,
-  "alog</w>": 15813,
-  "alogue</w>": 9101,
-  "aloha</w>": 23160,
-  "aloils</w>": 49002,
-  "alom</w>": 22236,
-  "alon": 14097,
-  "alon</w>": 42846,
-  "alone</w>": 4702,
-  "along": 8300,
-  "along</w>": 2528,
-  "alongside</w>": 8646,
-  "alonso</w>": 25704,
-  "aloo</w>": 46187,
-  "alore</w>": 14323,
-  "alot</w>": 16945,
-  "alou": 43180,
-  "aloud</w>": 30028,
-  "alove": 46669,
-  "alove</w>": 37045,
-  "alp": 32020,
-  "alp</w>": 39342,
-  "alpac": 30128,
-  "alpaca</w>": 42561,
-  "alph": 6720,
-  "alpha": 11807,
-  "alpha</w>": 8624,
-  "alphabe": 45796,
-  "alphabet</w>": 22335,
-  "alphon": 37865,
-  "alpine</w>": 17055,
-  "alps</w>": 18191,
-  "already</w>": 2426,
-  "alright</w>": 10866,
-  "als": 23982,
-  "als</w>": 938,
-  "alsace</w>": 49388,
-  "also</w>": 1446,
-  "alt": 9995,
-  "alt</w>": 10006,
-  "alta": 24470,
-  "alta</w>": 25378,
-  "altaf</w>": 47342,
-  "altam": 45624,
-  "altar</w>": 16385,
-  "alter": 4949,
-  "alter</w>": 21393,
-  "altered</w>": 25201,
-  "altern": 47463,
-  "alternate</w>": 15926,
-  "alternati": 16699,
-  "alternative": 37327,
-  "alternative</w>": 8248,
-  "alternatives</w>": 25041,
-  "alth": 23463,
-  "alth</w>": 5863,
-  "although</w>": 9421,
-  "alti": 35531,
-  "alties</w>": 17276,
-  "altitude</w>": 23241,
-  "altman</w>": 48100,
-  "alto": 35053,
-  "alto</w>": 17518,
-  "altogether</w>": 45689,
-  "alton": 41331,
-  "alton</w>": 36550,
-  "altrin": 38458,
-  "altrincham</w>": 44718,
-  "alty</w>": 5546,
-  "alu": 4776,
-  "alu</w>": 27991,
-  "alum": 5404,
-  "alum</w>": 10553,
-  "alumin": 14563,
-  "alumini": 22908,
-  "aluminium</w>": 23631,
-  "aluminum</w>": 15251,
-  "alumna</w>": 30313,
-  "alumni</w>": 6646,
-  "alumnus</w>": 23633,
-  "alums</w>": 30155,
-  "alv": 20928,
-  "alvar": 25196,
-  "alvarez</w>": 26924,
-  "alvaro</w>": 41941,
-  "alves</w>": 38547,
-  "alvin</w>": 27023,
-  "alway": 14046,
-  "alway</w>": 43764,
-  "always": 24997,
-  "always</w>": 1466,
-  "alwx</w>": 32768,
-  "aly": 6468,
-  "aly</w>": 12910,
-  "alyn": 49150,
-  "alyss": 29490,
-  "alyssa</w>": 18898,
-  "alz": 12936,
-  "alz</w>": 41128,
-  "alzheim": 15212,
-  "alzheimer</w>": 21151,
-  "alzheimers</w>": 34592,
-  "am": 548,
-  "am</w>": 687,
-  "ama": 18206,
-  "ama</w>": 1696,
-  "amad": 45095,
-  "amade": 37366,
-  "amag": 32049,
-  "amal": 15315,
-  "amal</w>": 36753,
-  "aman": 19890,
-  "aman</w>": 10110,
-  "amand": 14560,
-  "amanda</w>": 10036,
-  "amar": 6424,
-  "amar</w>": 19607,
-  "amara</w>": 48522,
-  "amari": 42565,
-  "amarillo</w>": 40449,
-  "amarine</w>": 45591,
-  "amarketing</w>": 30788,
-  "amas": 22716,
-  "amas</w>": 15667,
-  "amat": 38664,
-  "amat</w>": 25455,
-  "amate": 12453,
-  "amateur</w>": 14287,
-  "amaya</w>": 47210,
-  "amaz": 1185,
-  "amaze</w>": 24846,
-  "amazed</w>": 18944,
-  "amazing": 15949,
-  "amazing</w>": 1370,
-  "amazingly</w>": 20368,
-  "amazon": 13630,
-  "amazon</w>": 4140,
-  "amb": 9042,
-  "amb</w>": 16853,
-  "amba</w>": 27003,
-  "ambani</w>": 45967,
-  "ambas": 5634,
-  "ambassad": 5758,
-  "ambassador</w>": 6795,
-  "ambassadors</w>": 16832,
-  "ambed": 42089,
-  "ambedkar</w>": 48131,
-  "amber": 18292,
-  "amber</w>": 9986,
-  "ambi": 11844,
-  "ambient</w>": 23447,
-  "ambigu": 35702,
-  "ambition</w>": 20673,
-  "ambitions</w>": 34152,
-  "ambitious</w>": 18666,
-  "ambro": 17585,
-  "ambrose</w>": 24253,
-  "ambu": 34423,
-  "ambul": 13944,
-  "ambulance</w>": 15555,
-  "ambush</w>": 40725,
-  "amc": 24942,
-  "amc</w>": 16921,
-  "amd</w>": 20845,
-  "ame": 3995,
-  "ame</w>": 780,
-  "amed</w>": 5660,
-  "ameen</w>": 24229,
-  "amel": 31988,
-  "amel</w>": 10960,
-  "ameli": 21599,
-  "amelia</w>": 21433,
-  "amell</w>": 48198,
-  "amen": 18716,
-  "amen</w>": 12335,
-  "amend": 12425,
-  "amendment</w>": 15019,
-  "amendments</w>": 40901,
-  "amenities</w>": 30096,
-  "ament</w>": 27528,
-  "amer": 17081,
-  "amer</w>": 16147,
-  "ameri": 40422,
-  "americ": 1283,
-  "america</w>": 2224,
-  "americafirst</w>": 43216,
-  "american": 8746,
-  "american</w>": 2151,
-  "americana</w>": 26221,
-  "americanair</w>": 42538,
-  "americani": 39726,
-  "americans</w>": 6676,
-  "americas": 33343,
-  "americas</w>": 18142,
-  "ames</w>": 5469,
-  "ameter</w>": 23393,
-  "amethy": 30291,
-  "amethyst</w>": 31485,
-  "amex</w>": 46390,
-  "amg</w>": 21324,
-  "amher": 32311,
-  "amherst</w>": 39065,
-  "ami": 6100,
-  "ami</w>": 3065,
-  "amic": 25824,
-  "amic</w>": 21383,
-  "amid": 18908,
-  "amid</w>": 11953,
-  "amide</w>": 30952,
-  "amidst</w>": 25172,
-  "amie</w>": 36901,
-  "amig": 40294,
-  "amiga</w>": 35329,
-  "amigo</w>": 44991,
-  "amigos</w>": 28176,
-  "amii": 35462,
-  "amiibo</w>": 38871,
-  "amily</w>": 36732,
-  "amin": 14337,
-  "amin</w>": 20235,
-  "amina</w>": 47531,
-  "amination</w>": 30355,
-  "amine</w>": 35823,
-  "aming</w>": 3507,
-  "amino</w>": 33464,
-  "amir": 26029,
-  "amir</w>": 21973,
-  "amis</w>": 29829,
-  "amish</w>": 24958,
-  "amit": 15083,
-  "amit</w>": 25255,
-  "amitabh</w>": 48124,
-  "amitshah</w>": 32374,
-  "aml</w>": 43185,
-  "amma</w>": 29786,
-  "amman</w>": 29243,
-  "ammo</w>": 33474,
-  "ammunition</w>": 35060,
-  "amn</w>": 24073,
-  "amne": 14596,
-  "amnesia</w>": 41741,
-  "amnesty": 46330,
-  "amnesty</w>": 21177,
-  "amo": 4833,
-  "amo</w>": 11156,
-  "amodi</w>": 9826,
-  "amon": 17492,
-  "amon</w>": 24046,
-  "among": 12310,
-  "among</w>": 4265,
-  "amongst</w>": 12520,
-  "amoo</w>": 26977,
-  "amor": 19977,
-  "amor</w>": 15973,
-  "amore": 38937,
-  "amore</w>": 22691,
-  "amores</w>": 36338,
-  "amos</w>": 18133,
-  "amoto</w>": 25492,
-  "amount</w>": 6403,
-  "amounts</w>": 16747,
-  "amour</w>": 29908,
-  "amovie</w>": 41062,
-  "amp": 3521,
-  "amp</w>": 6259,
-  "amped</w>": 22640,
-  "amphi": 16379,
-  "amphibious</w>": 45206,
-  "amphitheater</w>": 41285,
-  "amphitheatre</w>": 44039,
-  "ample</w>": 34162,
-  "amples</w>": 14536,
-  "ampli": 15647,
-  "amplifier</w>": 31743,
-  "amplify</w>": 45308,
-  "amps</w>": 19252,
-  "ampton": 29410,
-  "ampton</w>": 9347,
-  "amr</w>": 30916,
-  "amreading</w>": 16546,
-  "amrit": 33849,
-  "ams</w>": 1396,
-  "amster": 9110,
-  "amsterdam</w>": 9441,
-  "amtrak</w>": 27855,
-  "amu": 11347,
-  "amu</w>": 32336,
-  "amur": 35014,
-  "amura</w>": 35487,
-  "amus</w>": 36269,
-  "amuse": 21421,
-  "amuse</w>": 44367,
-  "amused</w>": 30212,
-  "amusement</w>": 32570,
-  "amusic</w>": 20266,
-  "amusing</w>": 31789,
-  "amwriting</w>": 9660,
-  "amy": 10547,
-  "amy</w>": 5187,
-  "an": 514,
-  "an</w>": 550,
-  "ana": 6588,
-  "ana</w>": 1388,
-  "anab": 34742,
-  "anada</w>": 27948,
-  "anag": 12115,
-  "anagh</w>": 40774,
-  "anaheim</w>": 23728,
-  "anak": 34814,
-  "anak</w>": 38658,
-  "anal": 2785,
-  "analo": 34179,
-  "analog</w>": 19963,
-  "analogue</w>": 46031,
-  "analy": 4611,
-  "analyse</w>": 47246,
-  "analyses</w>": 39695,
-  "analysis</w>": 5296,
-  "analyst</w>": 14198,
-  "analysts</w>": 28075,
-  "analytical</w>": 34550,
-  "analytics</w>": 8558,
-  "analyze</w>": 28519,
-  "analyzing</w>": 32107,
-  "anam": 29525,
-  "anan": 37215,
-  "anand": 25073,
-  "anand</w>": 22083,
-  "anap": 41566,
-  "anarch": 46405,
-  "anarchi": 39879,
-  "anarchy</w>": 27707,
-  "anas": 31382,
-  "anas</w>": 12633,
-  "anast": 48902,
-  "anasta": 22915,
-  "anastasi": 36534,
-  "anastasia</w>": 37975,
-  "anat": 10045,
-  "anath</w>": 31277,
-  "anatom": 33759,
-  "anatomy</w>": 15376,
-  "anc": 1124,
-  "anc</w>": 17758,
-  "anca</w>": 14583,
-  "ance": 7165,
-  "ance</w>": 884,
-  "anced</w>": 5071,
-  "ancer</w>": 17415,
-  "ancers</w>": 37296,
-  "ances</w>": 3515,
-  "ancestor</w>": 43904,
-  "ancestors</w>": 24405,
-  "ancestral</w>": 41615,
-  "ancestry</w>": 30922,
-  "anch": 9489,
-  "anche</w>": 34679,
-  "ancho": 26610,
-  "anchor": 20030,
-  "anchor</w>": 13201,
-  "anchorage</w>": 31950,
-  "anchored</w>": 45926,
-  "anchors</w>": 37830,
-  "anci": 4192,
-  "ancient": 31495,
-  "ancient</w>": 5810,
-  "ancies</w>": 21647,
-  "ancing</w>": 7797,
-  "anco</w>": 15459,
-  "ancy": 16282,
-  "ancy</w>": 3633,
-  "and": 672,
-  "and</w>": 537,
-  "anda</w>": 2911,
-  "andalu": 31443,
-  "andco</w>": 36302,
-  "ande": 26889,
-  "ande</w>": 30354,
-  "ander": 3740,
-  "ander</w>": 3935,
-  "anders</w>": 10880,
-  "andersen</w>": 32661,
-  "anderson": 26683,
-  "anderson</w>": 6510,
-  "andes</w>": 24052,
-  "andfriends</w>": 36871,
-  "andhi</w>": 21617,
-  "andhra</w>": 32452,
-  "andi": 28870,
-  "andi</w>": 14354,
-  "andie</w>": 46318,
-  "andme</w>": 42831,
-  "ando": 35950,
-  "ando</w>": 5986,
-  "andolan</w>": 48965,
-  "andon</w>": 36488,
-  "andor": 45243,
-  "andover</w>": 44177,
-  "andr": 22661,
-  "andra": 46795,
-  "andra</w>": 21730,
-  "andre": 2657,
-  "andre</w>": 9400,
-  "andrea</w>": 10895,
-  "andreas</w>": 20444,
-  "andrei</w>": 42137,
-  "andres</w>": 25197,
-  "andretti</w>": 44291,
-  "andrew": 11717,
-  "andrew</w>": 4847,
-  "andrews</w>": 14506,
-  "andri": 37208,
-  "andro": 4417,
-  "andro</w>": 17980,
-  "android": 24284,
-  "android</w>": 5191,
-  "androidgames</w>": 46572,
-  "andromeda</w>": 42942,
-  "andré</w>": 35609,
-  "ands</w>": 32257,
-  "andthe": 22111,
-  "andu": 44200,
-  "andum</w>": 47266,
-  "andy": 9447,
-  "andy</w>": 2888,
-  "ane": 5846,
-  "ane</w>": 3051,
-  "anec": 33965,
-  "anem": 41395,
-  "anemone</w>": 49019,
-  "aneous</w>": 48273,
-  "anes</w>": 15381,
-  "anese</w>": 48778,
-  "anesthe": 30622,
-  "anesthesia</w>": 43353,
-  "anew": 39084,
-  "anew</w>": 47341,
-  "anews</w>": 20919,
-  "aney</w>": 22387,
-  "anfield</w>": 26993,
-  "ang": 883,
-  "ang</w>": 2704,
-  "anga</w>": 11641,
-  "angames</w>": 43178,
-  "angan</w>": 28264,
-  "angas</w>": 46180,
-  "ange": 2960,
-  "ange</w>": 3039,
-  "angel": 5029,
-  "angel</w>": 5130,
-  "angela</w>": 12354,
-  "angeles</w>": 7382,
-  "angeli": 15265,
-  "angelic</w>": 41038,
-  "angelica</w>": 38582,
-  "angelina</w>": 28890,
-  "angelo</w>": 14342,
-  "angelou</w>": 41328,
-  "angels</w>": 7809,
-  "anger": 32737,
-  "anger</w>": 6788,
-  "angerous</w>": 39716,
-  "angers</w>": 29756,
-  "angh": 34030,
-  "angi": 28003,
-  "angi</w>": 24301,
-  "angie</w>": 18859,
-  "angle": 21749,
-  "angle</w>": 6946,
-  "angled</w>": 32322,
-  "angler</w>": 22284,
-  "anglers</w>": 41608,
-  "angles</w>": 18627,
-  "anglesey</w>": 31850,
-  "anglia</w>": 32076,
-  "anglic": 28322,
-  "anglican</w>": 33284,
-  "angling</w>": 36824,
-  "anglo": 39515,
-  "anglo</w>": 30408,
-  "ango</w>": 19090,
-  "angola</w>": 36636,
-  "angor</w>": 41740,
-  "angp</w>": 19992,
-  "angry": 33910,
-  "angry</w>": 9054,
-  "angs</w>": 18441,
-  "angst</w>": 41714,
-  "angu": 11209,
-  "angular": 43584,
-  "angular</w>": 24981,
-  "angularjs</w>": 48608,
-  "angus</w>": 19688,
-  "ani": 1326,
-  "ani</w>": 3624,
-  "ania</w>": 9866,
-  "anian</w>": 9945,
-  "anians</w>": 39393,
-  "anic</w>": 23113,
-  "anie": 26697,
-  "anie</w>": 7671,
-  "anil": 28589,
-  "anil</w>": 34619,
-  "anim": 2190,
-  "animal": 10697,
-  "animal</w>": 4668,
-  "animalrights</w>": 42859,
-  "animals</w>": 4995,
-  "animate</w>": 40076,
-  "animated</w>": 13360,
-  "animation</w>": 10344,
-  "animations</w>": 42870,
-  "animator</w>": 42591,
-  "anime": 23314,
-  "anime</w>": 6469,
-  "anin</w>": 45735,
-  "aning</w>": 30972,
-  "anir": 27089,
-  "anirud": 35278,
-  "anirudhofficial</w>": 45917,
-  "anis": 40986,
-  "anis</w>": 47556,
-  "anism</w>": 20947,
-  "anist</w>": 16729,
-  "anistan</w>": 9727,
-  "aniston</w>": 47344,
-  "anit": 23683,
-  "anita</w>": 18544,
-  "anium</w>": 14794,
-  "anj": 22443,
-  "anja</w>": 43440,
-  "anjali</w>": 38834,
-  "anjo</w>": 47353,
-  "ank": 13339,
-  "ank</w>": 10029,
-  "anka</w>": 45324,
-  "ankara</w>": 34309,
-  "ankle</w>": 14777,
-  "ankles</w>": 48688,
-  "ann": 850,
-  "ann</w>": 5424,
-  "anna": 13821,
-  "anna</w>": 2160,
-  "annab": 22336,
-  "annabelle</w>": 47661,
-  "annah": 39166,
-  "annah</w>": 14327,
-  "annak": 41720,
-  "annan</w>": 32166,
-  "annapolis</w>": 34491,
-  "annas": 48467,
-  "anne": 9139,
-  "anne</w>": 4083,
-  "anned</w>": 27352,
-  "anner</w>": 12642,
-  "annes</w>": 24343,
-  "annette</w>": 36821,
-  "annex": 42958,
-  "annex</w>": 46389,
-  "anni": 2438,
-  "anni</w>": 13728,
-  "annie": 37270,
-  "annie</w>": 12173,
-  "annies</w>": 43184,
-  "annihil": 32734,
-  "annis</w>": 24742,
-  "anniv</w>": 31399,
-  "anniver": 29671,
-  "annivers": 42836,
-  "anniversaire</w>": 30882,
-  "anniversary</w>": 3048,
-  "anno": 9901,
-  "anno</w>": 26871,
-  "annon</w>": 26385,
-  "annot": 30411,
-  "announ": 1806,
-  "announce</w>": 3682,
-  "announced</w>": 4103,
-  "announcement</w>": 6932,
-  "announcements</w>": 23735,
-  "announcer</w>": 33626,
-  "announces</w>": 6500,
-  "announcing</w>": 11593,
-  "annoy</w>": 45138,
-  "annoyed</w>": 29863,
-  "annoying</w>": 15248,
-  "annu": 21698,
-  "annual</w>": 2906,
-  "annually</w>": 23703,
-  "anny": 34313,
-  "anny</w>": 5291,
-  "ano": 5617,
-  "ano</w>": 2658,
-  "anom": 21612,
-  "anomaly</w>": 46811,
-  "anon": 47079,
-  "anon</w>": 13667,
-  "anonym": 38605,
-  "anonymous</w>": 15036,
-  "anoo": 25690,
-  "anor": 13243,
-  "anor</w>": 16596,
-  "anos</w>": 20132,
-  "another": 29274,
-  "another</w>": 1380,
-  "anova</w>": 24116,
-  "ans": 24586,
-  "ans</w>": 885,
-  "ansari</w>": 40748,
-  "ansel": 40356,
-  "answ": 3369,
-  "answe": 14391,
-  "answer</w>": 4518,
-  "answered</w>": 14499,
-  "answering</w>": 18280,
-  "answers</w>": 8692,
-  "ant": 1103,
-  "ant</w>": 773,
-  "anta</w>": 3023,
-  "antag": 41745,
-  "antal": 39355,
-  "antalya</w>": 47440,
-  "antan": 32899,
-  "antarc": 21338,
-  "antarctic</w>": 27077,
-  "antarctica</w>": 22587,
-  "ante": 19311,
-  "ante</w>": 9769,
-  "antebellum</w>": 41683,
-  "antelope</w>": 39177,
-  "anten": 35517,
-  "antenna</w>": 26370,
-  "anter": 46508,
-  "antes</w>": 14927,
-  "antgrasso</w>": 39074,
-  "anth": 3737,
-  "anth</w>": 29741,
-  "antha</w>": 47981,
-  "anthe": 34167,
-  "anthem</w>": 12504,
-  "anthi</w>": 45261,
-  "anthology</w>": 21009,
-  "anthony": 17477,
-  "anthony</w>": 6113,
-  "anthro": 10019,
-  "anthropo": 18538,
-  "anthropology</w>": 32407,
-  "anthus</w>": 37639,
-  "anti": 3120,
-  "anti</w>": 3564,
-  "antibio": 18954,
-  "antibiotic</w>": 34387,
-  "antibiotics</w>": 29499,
-  "antibody</w>": 49018,
-  "antic": 8260,
-  "anticip": 11435,
-  "anticipate</w>": 38280,
-  "anticipated</w>": 18605,
-  "anticipating</w>": 48067,
-  "anticipation</w>": 26983,
-  "antics</w>": 37126,
-  "antidote</w>": 45476,
-  "antifa</w>": 35926,
-  "antigua</w>": 39910,
-  "antine</w>": 17641,
-  "antino</w>": 27818,
-  "antioxid": 23010,
-  "antioxidant</w>": 37452,
-  "antioxidants</w>": 34208,
-  "antiqu": 21745,
-  "antique": 46517,
-  "antique</w>": 9060,
-  "antiques</w>": 17365,
-  "antis</w>": 19748,
-  "antisemitism</w>": 36630,
-  "antit": 37833,
-  "antitrust</w>": 49343,
-  "antlers</w>": 47720,
-  "antly</w>": 5265,
-  "anto": 16826,
-  "anto</w>": 24486,
-  "antoine</w>": 25188,
-  "anton": 5497,
-  "anton</w>": 19644,
-  "antoni": 39958,
-  "antonio": 30497,
-  "antonio</w>": 7842,
-  "antony</w>": 30707,
-  "antrim</w>": 40252,
-  "ants</w>": 1589,
-  "antv</w>": 47520,
-  "antw": 44460,
-  "antwer": 26970,
-  "antwerp</w>": 33797,
-  "antz</w>": 25684,
-  "anu": 8537,
-  "anu</w>": 17152,
-  "anup": 29617,
-  "anus</w>": 27084,
-  "anush": 22765,
-  "anushka": 42080,
-  "anushka</w>": 39822,
-  "anushkasharma</w>": 44203,
-  "anwar</w>": 34261,
-  "anxi": 9021,
-  "anxiety</w>": 11103,
-  "anxious</w>": 27793,
-  "any": 1307,
-  "any</w>": 1504,
-  "anya</w>": 11173,
-  "anybody</w>": 10071,
-  "anyi</w>": 41632,
-  "anymore</w>": 7372,
-  "anyone</w>": 2302,
-  "anything</w>": 3582,
-  "anytime</w>": 13924,
-  "anyway</w>": 8931,
-  "anyways</w>": 19778,
-  "anywhere</w>": 8863,
-  "anz": 14445,
-  "anz</w>": 19425,
-  "anza</w>": 14669,
-  "anzac</w>": 31977,
-  "ao": 7313,
-  "ao</w>": 5703,
-  "aoa</w>": 47119,
-  "aoc</w>": 31918,
-  "aofficial</w>": 30840,
-  "aoki</w>": 33602,
-  "aol</w>": 40643,
-  "aon": 30928,
-  "aon</w>": 48476,
-  "aor": 32044,
-  "aos</w>": 46860,
-  "ap": 688,
-  "ap</w>": 2728,
-  "apa": 36954,
-  "apa</w>": 13537,
-  "apac</w>": 34320,
-  "apache</w>": 23921,
-  "apal": 38017,
-  "apan</w>": 36562,
-  "apar": 9161,
-  "apark</w>": 32528,
-  "apart": 6474,
-  "apart</w>": 7803,
-  "aparthe": 25121,
-  "apartheid</w>": 26597,
-  "apartment</w>": 8285,
-  "apartments</w>": 15791,
-  "aparty</w>": 26767,
-  "apat": 31755,
-  "apathy</w>": 18145,
-  "apc</w>": 20300,
-  "apd</w>": 44563,
-  "ape": 6098,
-  "ape</w>": 2609,
-  "apec</w>": 47530,
-  "aper": 13681,
-  "aper</w>": 5858,
-  "apers</w>": 15846,
-  "apes</w>": 9550,
-  "apeu": 19040,
-  "apex": 41935,
-  "apex</w>": 23712,
-  "aph": 16341,
-  "aph</w>": 29491,
-  "apha</w>": 47104,
-  "apho": 21758,
-  "aphra": 44147,
-  "api": 23342,
-  "api</w>": 14674,
-  "apia</w>": 44259,
-  "apic": 40679,
-  "aping</w>": 18456,
-  "apink</w>": 35725,
-  "apis</w>": 37575,
-  "apk</w>": 27648,
-  "apo": 4089,
-  "apo</w>": 19758,
-  "apocaly": 13932,
-  "apocalypse</w>": 17571,
-  "apocalyptic</w>": 35675,
-  "apol": 5023,
-  "apolice</w>": 45663,
-  "apolis</w>": 9598,
-  "apollo": 48213,
-  "apollo</w>": 11554,
-  "apolo": 31094,
-  "apolog": 25530,
-  "apologe": 42908,
-  "apologi": 14977,
-  "apologies</w>": 21959,
-  "apologise</w>": 39608,
-  "apologize</w>": 22879,
-  "apologizes</w>": 35298,
-  "apology</w>": 20768,
-  "apor": 21871,
-  "apore</w>": 6679,
-  "apost": 20309,
-  "apostle</w>": 33051,
-  "apostles</w>": 48457,
-  "app": 882,
-  "app</w>": 2231,
-  "appa": 4884,
-  "appa</w>": 13110,
-  "appalach": 30523,
-  "appalachian</w>": 36806,
-  "appalling</w>": 44797,
-  "appar": 26698,
-  "apparatus</w>": 37716,
-  "apparel</w>": 13972,
-  "apparent</w>": 23963,
-  "apparently</w>": 5287,
-  "appe": 3748,
-  "appe</w>": 45949,
-  "appeal</w>": 9625,
-  "appealing</w>": 25909,
-  "appeals</w>": 22447,
-  "appear": 5544,
-  "appear</w>": 9308,
-  "appearance</w>": 7238,
-  "appearances</w>": 17214,
-  "appeared</w>": 11561,
-  "appearing</w>": 18759,
-  "appears</w>": 8743,
-  "appell": 43833,
-  "appen": 37201,
-  "appen</w>": 26589,
-  "apper</w>": 18780,
-  "appet": 21686,
-  "appeti": 24179,
-  "appetite</w>": 24481,
-  "appetizer</w>": 36065,
-  "applau": 24713,
-  "applaud</w>": 42152,
-  "applause</w>": 22650,
-  "apple": 8629,
-  "apple</w>": 3055,
-  "applemusic</w>": 21390,
-  "apples</w>": 14032,
-  "appleton</w>": 45250,
-  "appli": 15495,
-  "appliance</w>": 33677,
-  "appliances</w>": 22134,
-  "applic": 4235,
-  "applicable</w>": 37927,
-  "applicants</w>": 28035,
-  "application</w>": 7241,
-  "applications</w>": 7341,
-  "applied</w>": 12636,
-  "applies</w>": 24910,
-  "apply</w>": 4356,
-  "applying</w>": 17965,
-  "appo": 5433,
-  "appoint</w>": 36190,
-  "appointed</w>": 11087,
-  "appointment</w>": 10890,
-  "appointments</w>": 23439,
-  "appoints</w>": 25132,
-  "apprais": 36972,
-  "appraisal</w>": 46108,
-  "appreci": 3474,
-  "appreciate</w>": 6263,
-  "appreciated</w>": 9264,
-  "appreciates</w>": 36573,
-  "appreciating</w>": 39352,
-  "appreciation</w>": 9212,
-  "appreciationday</w>": 37438,
-  "appreciative</w>": 45074,
-  "appren": 10582,
-  "apprentic": 15662,
-  "apprentice": 19122,
-  "apprentice</w>": 17985,
-  "apprentices</w>": 38252,
-  "apprenticeship</w>": 26939,
-  "apprenticeships</w>": 35425,
-  "appro": 2398,
-  "approach": 7781,
-  "approach</w>": 6241,
-  "approached</w>": 36499,
-  "approaches</w>": 14962,
-  "approaching</w>": 12164,
-  "appropri": 8446,
-  "appropriate</w>": 10768,
-  "appropriately</w>": 30383,
-  "appropriation</w>": 49110,
-  "approval</w>": 13549,
-  "approve</w>": 19064,
-  "approved</w>": 9412,
-  "approves</w>": 18107,
-  "approx</w>": 18266,
-  "approxim": 14201,
-  "approximately</w>": 16128,
-  "apps</w>": 7020,
-  "appstore</w>": 31377,
-  "appt</w>": 48112,
-  "appy</w>": 34420,
-  "apr": 39396,
-  "apr</w>": 11177,
-  "apra": 37027,
-  "apric": 25923,
-  "apricot</w>": 30815,
-  "april": 23548,
-  "april</w>": 2484,
-  "apro": 42712,
-  "apro</w>": 49051,
-  "apron</w>": 29502,
-  "aps</w>": 8868,
-  "apse</w>": 31843,
-  "apt</w>": 17921,
-  "aptly</w>": 47313,
-  "apu": 22166,
-  "apur": 36900,
-  "apur</w>": 45193,
-  "aq": 14018,
-  "aq</w>": 26862,
-  "aqu": 4458,
-  "aqua</w>": 18613,
-  "aquaculture</w>": 41885,
-  "aquaman</w>": 35098,
-  "aquari": 37605,
-  "aquarium</w>": 16814,
-  "aquarius</w>": 38879,
-  "aquatic</w>": 22658,
-  "aque": 35927,
-  "aque</w>": 37268,
-  "aqui": 36826,
-  "aquino</w>": 33796,
-  "ar": 516,
-  "ar</w>": 625,
-  "ara": 24161,
-  "ara</w>": 3340,
-  "arab": 5405,
-  "arab</w>": 12028,
-  "arabia</w>": 11746,
-  "arabian</w>": 24663,
-  "arabic</w>": 16709,
-  "arabs</w>": 39155,
-  "arac": 47620,
-  "arach": 37689,
-  "arag": 41502,
-  "araj</w>": 45142,
-  "arak": 23416,
-  "aram": 19223,
-  "aram</w>": 21473,
-  "arama</w>": 49066,
-  "aran": 20839,
-  "aran</w>": 19641,
-  "aras</w>": 36399,
-  "arat</w>": 30856,
-  "arav": 35836,
-  "arbit": 20267,
-  "arbitr": 22702,
-  "arbitration</w>": 34845,
-  "arbor": 33516,
-  "arbor</w>": 24878,
-  "arboretum</w>": 41719,
-  "arc": 4997,
-  "arc</w>": 11592,
-  "arca": 25189,
-  "arca</w>": 37612,
-  "arcade</w>": 13331,
-  "arcadia</w>": 38372,
-  "arch": 2458,
-  "arch</w>": 8557,
-  "archa": 45619,
-  "archae": 10121,
-  "archaeological</w>": 26163,
-  "archaeologists</w>": 45035,
-  "archaeology</w>": 14868,
-  "archan": 33359,
-  "archbishop</w>": 23994,
-  "arche": 22474,
-  "archer</w>": 21824,
-  "archers</w>": 38407,
-  "archery</w>": 23935,
-  "arches</w>": 30771,
-  "archi": 4479,
-  "archie</w>": 20557,
-  "archipel": 39750,
-  "archipelago</w>": 43025,
-  "architec": 3359,
-  "architect</w>": 12192,
-  "architects</w>": 13290,
-  "architectural</w>": 15360,
-  "architecture": 39038,
-  "architecture</w>": 4920,
-  "archival</w>": 39249,
-  "archive": 42257,
-  "archive</w>": 10548,
-  "archived</w>": 42379,
-  "archives</w>": 9411,
-  "archy</w>": 15643,
-  "arctic": 29716,
-  "arctic</w>": 9138,
-  "ard": 3793,
-  "ard</w>": 746,
-  "arden": 44600,
-  "arden</w>": 27057,
-  "ardi": 23932,
-  "ardi</w>": 19837,
-  "ardo": 35735,
-  "ardo</w>": 9394,
-  "ards</w>": 1654,
-  "ardu": 20906,
-  "arduino</w>": 25398,
-  "are": 1076,
-  "are</w>": 631,
-  "area</w>": 2445,
-  "areas</w>": 5429,
-  "arec": 18136,
-  "areclipse</w>": 36030,
-  "ared</w>": 5369,
-  "arel</w>": 12798,
-  "arella</w>": 24784,
-  "arelli</w>": 48619,
-  "aren": 4033,
-  "aren</w>": 4318,
-  "arena</w>": 5463,
-  "arenas</w>": 47860,
-  "arent</w>": 37487,
-  "arer</w>": 14857,
-  "arers</w>": 33159,
-  "ares</w>": 12224,
-  "arest</w>": 11708,
-  "aret</w>": 22247,
-  "areth</w>": 47725,
-  "aretha</w>": 42090,
-  "areyou": 37607,
-  "arez</w>": 13108,
-  "arg</w>": 27285,
-  "argent": 7812,
-  "argentina</w>": 9789,
-  "argentine</w>": 32582,
-  "argon": 40737,
-  "argos</w>": 37443,
-  "argu": 7440,
-  "arguably</w>": 30899,
-  "argue</w>": 19788,
-  "argued</w>": 48153,
-  "argues</w>": 30045,
-  "arguing</w>": 26549,
-  "argument</w>": 16224,
-  "arguments</w>": 24693,
-  "argus</w>": 44300,
-  "argy": 21066,
-  "argyle</w>": 36179,
-  "argyll</w>": 40667,
-  "ari": 1221,
-  "ari</w>": 3681,
-  "aria</w>": 8883,
-  "arial</w>": 42431,
-  "arian": 29980,
-  "arian</w>": 6953,
-  "ariana</w>": 14892,
-  "arianag": 23025,
-  "arianagrande</w>": 23321,
-  "arianism</w>": 44351,
-  "arians</w>": 19104,
-  "arias</w>": 22567,
-  "arie</w>": 18774,
-  "ariel": 47959,
-  "ariel</w>": 21025,
-  "aries</w>": 5213,
-  "arif</w>": 46621,
-  "arily</w>": 12993,
-  "arin": 29564,
-  "arin</w>": 18612,
-  "arina</w>": 29271,
-  "arine</w>": 29586,
-  "aring</w>": 2142,
-  "ario</w>": 8862,
-  "arios</w>": 25392,
-  "aris</w>": 15227,
-  "arise</w>": 26490,
-  "arist</w>": 12110,
-  "aristo": 25666,
-  "aristotle</w>": 49156,
-  "arities</w>": 31069,
-  "arity</w>": 16608,
-  "arium</w>": 11809,
-  "arius</w>": 21482,
-  "ariz": 6516,
-  "arized</w>": 40167,
-  "arizon": 28936,
-  "arizona</w>": 7106,
-  "arjun": 24565,
-  "arjun</w>": 20477,
-  "arjuna</w>": 43835,
-  "ark": 11921,
-  "ark</w>": 12010,
-  "arkansas</w>": 12227,
-  "arkham</w>": 36381,
-  "arl</w>": 48542,
-  "arlington": 44940,
-  "arlington</w>": 17865,
-  "arly</w>": 3637,
-  "arm": 5671,
-  "arm</w>": 4793,
-  "arma": 15887,
-  "arma</w>": 38716,
-  "armad": 37897,
-  "armada</w>": 34938,
-  "armagh</w>": 44313,
-  "armani</w>": 31314,
-  "armb": 37096,
-  "armchair</w>": 45757,
-  "armed": 40471,
-  "armed</w>": 8202,
-  "armen": 13145,
-  "armenia</w>": 22008,
-  "armenian</w>": 24891,
-  "armies</w>": 46686,
-  "armin": 45481,
-  "arming</w>": 19766,
-  "armist": 38150,
-  "armistice</w>": 46765,
-  "armor</w>": 16167,
-  "armored</w>": 28214,
-  "armory</w>": 38610,
-  "armour</w>": 18503,
-  "armoured</w>": 42514,
-  "arms</w>": 5706,
-  "armstrong</w>": 15005,
-  "army": 13541,
-  "army</w>": 3133,
-  "armys</w>": 27311,
-  "arn": 9348,
-  "arn</w>": 37597,
-  "arnau": 45556,
-  "arne</w>": 43509,
-  "arney</w>": 35962,
-  "arnold": 49096,
-  "arnold</w>": 13609,
-  "arns</w>": 46692,
-  "aro": 7514,
-  "aro</w>": 11551,
-  "aroa</w>": 48209,
-  "arom": 16831,
-  "aroma": 40143,
-  "aroma</w>": 26390,
-  "aromas</w>": 47439,
-  "aromatherapy</w>": 42584,
-  "aromatic</w>": 39669,
-  "aron": 30855,
-  "aron</w>": 28926,
-  "aroo</w>": 47581,
-  "arora</w>": 31897,
-  "arosa</w>": 44264,
-  "arose</w>": 44262,
-  "around": 35615,
-  "around</w>": 1630,
-  "arqu": 35654,
-  "arquitec": 41703,
-  "arr": 39106,
-  "arr</w>": 42489,
-  "arra": 32918,
-  "arra</w>": 43827,
-  "arrahman</w>": 44554,
-  "arran</w>": 45722,
-  "arrang": 16711,
-  "arrange": 15410,
-  "arrange</w>": 26311,
-  "arranged</w>": 22451,
-  "arrangement</w>": 23822,
-  "arrangements</w>": 23792,
-  "arranging</w>": 35321,
-  "array</w>": 17293,
-  "arre": 4374,
-  "arrell</w>": 28846,
-  "arrest</w>": 9320,
-  "arrested</w>": 5845,
-  "arresting</w>": 43930,
-  "arrests</w>": 20683,
-  "arri": 2115,
-  "arrival</w>": 9073,
-  "arrivals</w>": 19583,
-  "arrive</w>": 8851,
-  "arrived</w>": 3514,
-  "arrives</w>": 9905,
-  "arriving</w>": 10884,
-  "arro": 15729,
-  "arrog": 26997,
-  "arrogance</w>": 47025,
-  "arrogant</w>": 40582,
-  "arrow": 30920,
-  "arrow</w>": 11149,
-  "arrowhead</w>": 46393,
-  "arrows</w>": 24768,
-  "arroyo</w>": 45237,
-  "ars": 42815,
-  "ars</w>": 864,
-  "arse</w>": 22665,
-  "arsen": 5330,
-  "arsenal": 45234,
-  "arsenal</w>": 6084,
-  "arsene</w>": 32117,
-  "arson</w>": 29937,
-  "art": 1486,
-  "art</w>": 794,
-  "arta</w>": 12031,
-  "arte": 13482,
-  "arte</w>": 12947,
-  "artem": 40387,
-  "artemis</w>": 45256,
-  "arten</w>": 37043,
-  "arter": 29449,
-  "artery</w>": 40062,
-  "artes</w>": 48629,
-  "artforsale</w>": 48239,
-  "artgallery</w>": 31982,
-  "arth": 7146,
-  "arth</w>": 20265,
-  "arthistory</w>": 39313,
-  "arthr": 20807,
-  "arthritis</w>": 22916,
-  "arthro": 43255,
-  "arthur": 35660,
-  "arthur</w>": 8550,
-  "arti": 1635,
-  "arti</w>": 34601,
-  "artic": 3003,
-  "articho": 30937,
-  "artichoke</w>": 39647,
-  "article</w>": 3550,
-  "articles</w>": 11939,
-  "articul": 40343,
-  "articulate</w>": 45444,
-  "artif": 8950,
-  "artifact</w>": 37718,
-  "artifacts</w>": 30249,
-  "artificial": 19357,
-  "artificial</w>": 12040,
-  "artificialintelligence</w>": 20799,
-  "artillery</w>": 24465,
-  "artin": 33168,
-  "artin</w>": 48540,
-  "artis</w>": 41794,
-  "artisan": 36389,
-  "artisan</w>": 21535,
-  "artisans</w>": 40140,
-  "artist": 14326,
-  "artist</w>": 2456,
-  "artiste</w>": 41402,
-  "artistic</w>": 12421,
-  "artiston": 48443,
-  "artistry</w>": 38570,
-  "artists</w>": 4899,
-  "artistson": 32127,
-  "artistsontwitter</w>": 39469,
-  "artlovers</w>": 35617,
-  "arto": 28464,
-  "artof": 31751,
-  "artoftheday</w>": 43990,
-  "arton</w>": 46744,
-  "arts": 22040,
-  "arts</w>": 3812,
-  "artsy</w>": 31588,
-  "arturo</w>": 38591,
-  "artwit</w>": 36713,
-  "artwork</w>": 4188,
-  "artworks</w>": 26215,
-  "arty": 45417,
-  "arty</w>": 25916,
-  "aru": 13757,
-  "aru</w>": 23907,
-  "aruba</w>": 40131,
-  "arugula</w>": 40770,
-  "arum</w>": 48732,
-  "arun": 16105,
-  "arun</w>": 31877,
-  "arunach": 47260,
-  "arunjaitley</w>": 44874,
-  "arus</w>": 22644,
-  "arvin": 16971,
-  "arvind": 21209,
-  "arvind</w>": 41079,
-  "arvindkejriwal</w>": 22971,
-  "arvo</w>": 45726,
-  "arwx</w>": 29824,
-  "ary": 4617,
-  "ary</w>": 856,
-  "arya</w>": 23594,
-  "aryan</w>": 34966,
-  "as": 587,
-  "as</w>": 601,
-  "asa": 39676,
-  "asa</w>": 11914,
-  "asad</w>": 42376,
-  "asaki</w>": 22455,
-  "asam": 40603,
-  "asan": 22379,
-  "asan</w>": 17841,
-  "asana</w>": 42363,
-  "asant</w>": 25536,
-  "asants</w>": 37766,
-  "asap": 24199,
-  "asap</w>": 10822,
-  "asar": 24733,
-  "asar</w>": 49299,
-  "asb</w>": 31186,
-  "asbe": 32113,
-  "asbestos</w>": 33765,
-  "asc": 22720,
-  "asc</w>": 23305,
-  "ascen": 20767,
-  "ascension</w>": 35499,
-  "ascent</w>": 36625,
-  "asci": 12753,
-  "asco": 25578,
-  "asco</w>": 17488,
-  "ascot</w>": 23723,
-  "ascri": 15506,
-  "asd</w>": 36988,
-  "asda</w>": 29391,
-  "asdf": 36857,
-  "asdfghj": 42758,
-  "asdfghjkl</w>": 47660,
-  "ase": 8083,
-  "ase</w>": 894,
-  "asean</w>": 24472,
-  "aseball</w>": 46903,
-  "ased</w>": 2134,
-  "asen": 41085,
-  "aser": 39615,
-  "aser</w>": 7209,
-  "ases</w>": 3762,
-  "asf</w>": 25863,
-  "asg</w>": 34813,
-  "ash": 2067,
-  "ash</w>": 2612,
-  "asha": 40572,
-  "asha</w>": 13472,
-  "ashamed</w>": 20633,
-  "ashby</w>": 46531,
-  "ashe": 48523,
-  "ashe</w>": 31752,
-  "asher</w>": 37585,
-  "ashes</w>": 12587,
-  "asheville</w>": 28897,
-  "ashford</w>": 37796,
-  "ashi": 15563,
-  "ashi</w>": 15934,
-  "ashish</w>": 33145,
-  "ashland</w>": 39938,
-  "ashleigh</w>": 49356,
-  "ashley": 17825,
-  "ashley</w>": 8957,
-  "asho": 20273,
-  "ashok</w>": 38141,
-  "ashore</w>": 31194,
-  "ashram</w>": 43445,
-  "ashton": 43264,
-  "ashton</w>": 12228,
-  "ashtra</w>": 18118,
-  "asi": 3596,
-  "asi</w>": 12562,
-  "asia</w>": 5741,
-  "asian": 21737,
-  "asian</w>": 7128,
-  "asiangames</w>": 49108,
-  "asians</w>": 36771,
-  "asics</w>": 31097,
-  "aside</w>": 13676,
-  "asif</w>": 37302,
-  "asim</w>": 46050,
-  "asin": 48432,
-  "asin</w>": 44347,
-  "asing</w>": 4194,
-  "asingly</w>": 15803,
-  "asion</w>": 31753,
-  "asis</w>": 12398,
-  "ask": 11027,
-  "ask</w>": 2765,
-  "asked</w>": 3993,
-  "asking</w>": 5914,
-  "asks</w>": 7953,
-  "asl</w>": 41650,
-  "asleep</w>": 10749,
-  "asley</w>": 28206,
-  "asli</w>": 44290,
-  "asm</w>": 13851,
-  "asma</w>": 38497,
-  "asmsg</w>": 19839,
-  "aso": 30343,
-  "aso</w>": 27932,
-  "asober": 43749,
-  "asocial</w>": 48557,
-  "ason</w>": 1163,
-  "asone</w>": 31249,
-  "asons</w>": 4249,
-  "asos</w>": 37924,
-  "asot</w>": 47968,
-  "asp": 17814,
-  "asp</w>": 36666,
-  "asparag": 20301,
-  "asparagus</w>": 20604,
-  "aspe": 10894,
-  "aspect</w>": 19681,
-  "aspects</w>": 18203,
-  "aspen": 35695,
-  "aspen</w>": 25712,
-  "asper": 32991,
-  "asph": 28019,
-  "asphalt</w>": 30574,
-  "aspir": 12669,
-  "aspirations</w>": 36127,
-  "aspire</w>": 24836,
-  "aspiring</w>": 21862,
-  "asports</w>": 43695,
-  "asr</w>": 48052,
-  "asroma</w>": 41000,
-  "ass": 12664,
-  "ass</w>": 5301,
-  "assa</w>": 47715,
-  "assad</w>": 18699,
-  "assam</w>": 19930,
-  "assan": 26352,
-  "assange</w>": 27565,
-  "assas": 9603,
-  "assassin": 14366,
-  "assassin</w>": 20029,
-  "assassinated</w>": 40488,
-  "assassination</w>": 24907,
-  "assassins</w>": 34918,
-  "assassinscre": 36428,
-  "assassinscreed</w>": 46082,
-  "assau": 7908,
-  "assaul": 19596,
-  "assault</w>": 9679,
-  "assaulted</w>": 30785,
-  "assaulting</w>": 44143,
-  "asse": 3166,
-  "asse</w>": 38600,
-  "assel</w>": 37582,
-  "assemb": 5531,
-  "assemble</w>": 26169,
-  "assembled</w>": 22627,
-  "assemblies</w>": 47406,
-  "assembling</w>": 38670,
-  "assembly": 34542,
-  "assembly</w>": 7059,
-  "assen</w>": 38651,
-  "asser": 25665,
-  "asses</w>": 21596,
-  "assess": 9209,
-  "assess</w>": 23211,
-  "assessed</w>": 44160,
-  "assessing</w>": 31364,
-  "assessment</w>": 10590,
-  "assessments</w>": 32753,
-  "asset": 48463,
-  "asset</w>": 13039,
-  "assets</w>": 13170,
-  "assi": 2907,
-  "assi</w>": 39540,
-  "assie</w>": 31624,
-  "assign": 14190,
-  "assigned</w>": 25767,
-  "assignment</w>": 17342,
-  "assignments</w>": 34257,
-  "assim</w>": 36394,
-  "assimil": 43467,
-  "assist": 26558,
-  "assist</w>": 10286,
-  "assistance</w>": 11685,
-  "assistant</w>": 6799,
-  "assistants</w>": 31054,
-  "assisted</w>": 18095,
-  "assisting</w>": 24243,
-  "assists</w>": 12675,
-  "assn</w>": 44208,
-  "asso</w>": 17617,
-  "assoc</w>": 18891,
-  "associ": 3566,
-  "associate</w>": 11777,
-  "associated</w>": 11164,
-  "associates</w>": 17358,
-  "association</w>": 5578,
-  "associations</w>": 33209,
-  "assor": 38604,
-  "assorted</w>": 36701,
-  "assortment</w>": 43112,
-  "asst</w>": 24767,
-  "assu": 8328,
-  "assume</w>": 19294,
-  "assumed</w>": 37661,
-  "assuming</w>": 29422,
-  "assump": 41182,
-  "assumption</w>": 40773,
-  "assumptions</w>": 45948,
-  "assurance</w>": 28408,
-  "assure</w>": 39161,
-  "assured</w>": 25591,
-  "assures</w>": 41988,
-  "assy": 29940,
-  "assy</w>": 12963,
-  "ast": 1761,
-  "ast</w>": 1242,
-  "asta</w>": 43269,
-  "aste": 25033,
-  "aste</w>": 25579,
-  "aster": 11013,
-  "aster</w>": 9526,
-  "asteroid</w>": 32253,
-  "asters</w>": 33139,
-  "asth": 16684,
-  "asthma</w>": 24610,
-  "asthour</w>": 41238,
-  "astic</w>": 15876,
-  "asting</w>": 29984,
-  "astle</w>": 46141,
-  "asto": 47275,
-  "aston": 24760,
-  "aston</w>": 13879,
-  "astoni": 21962,
-  "astonishing</w>": 27110,
-  "astonmartin</w>": 40760,
-  "astor": 26391,
-  "astor</w>": 47086,
-  "astoria</w>": 34798,
-  "astounding</w>": 37748,
-  "astr": 37609,
-  "astra": 47205,
-  "astra</w>": 36079,
-  "astral</w>": 45889,
-  "astri": 31243,
-  "astrid</w>": 46499,
-  "astro": 8563,
-  "astro</w>": 15318,
-  "astrology</w>": 28526,
-  "astron": 7982,
-  "astronaut</w>": 18376,
-  "astronauts</w>": 29733,
-  "astronom": 23264,
-  "astronomer</w>": 40036,
-  "astronomers</w>": 44268,
-  "astronomical</w>": 39775,
-  "astronomy</w>": 17472,
-  "astrophotography</w>": 38559,
-  "astros</w>": 17598,
-  "asts</w>": 10452,
-  "astu": 43137,
-  "astur": 45795,
-  "asu": 13157,
-  "asu</w>": 16001,
-  "asun": 36044,
-  "asure</w>": 3813,
-  "asus</w>": 27269,
-  "aswell</w>": 42978,
-  "asx</w>": 38906,
-  "asy": 8524,
-  "asy</w>": 2333,
-  "asylum</w>": 15638,
-  "asym": 32539,
-  "at": 527,
-  "at</w>": 536,
-  "ata</w>": 4236,
-  "atable</w>": 23909,
-  "atal": 24877,
-  "atal</w>": 24797,
-  "atan</w>": 33446,
-  "atar": 20128,
-  "atar</w>": 7995,
-  "atari</w>": 21549,
-  "atas</w>": 30057,
-  "atay": 39518,
-  "atc</w>": 28383,
-  "atch</w>": 15938,
-  "atd</w>": 33890,
-  "ate": 992,
-  "ate</w>": 671,
-  "ateam</w>": 42784,
-  "ateau</w>": 16359,
-  "atec": 37352,
-  "atech</w>": 31306,
-  "ated": 14589,
-  "ated</w>": 943,
-  "atedly</w>": 24698,
-  "atee</w>": 32839,
-  "ateful</w>": 5419,
-  "atelier</w>": 29932,
-  "ately</w>": 3862,
-  "atem": 17116,
-  "aten</w>": 47984,
-  "atene": 30405,
-  "ateneo</w>": 33904,
-  "ater": 18597,
-  "ater</w>": 5877,
-  "ateral</w>": 18819,
-  "aters</w>": 22364,
-  "ates": 20370,
-  "ates</w>": 1150,
-  "atest</w>": 1705,
-  "ateur</w>": 43677,
-  "atf</w>": 28013,
-  "ath": 1374,
-  "ath</w>": 1649,
-  "atha</w>": 22530,
-  "atham</w>": 23383,
-  "athan": 41260,
-  "athan</w>": 26701,
-  "athe": 8963,
-  "athed</w>": 47402,
-  "atheism</w>": 25823,
-  "atheist</w>": 22571,
-  "atheists</w>": 47155,
-  "athen": 29112,
-  "athena</w>": 30705,
-  "athens</w>": 13524,
-  "ather": 6171,
-  "ather</w>": 1817,
-  "athered</w>": 34091,
-  "athers</w>": 17266,
-  "athi</w>": 28918,
-  "athing</w>": 36069,
-  "athle": 3310,
-  "athlete</w>": 7388,
-  "athletes</w>": 7125,
-  "athletic": 33182,
-  "athletic</w>": 9028,
-  "athletics</w>": 7019,
-  "athlon</w>": 14670,
-  "athome</w>": 38217,
-  "athon</w>": 4951,
-  "aths</w>": 28835,
-  "athy": 34488,
-  "athy</w>": 13183,
-  "ati": 591,
-  "ati</w>": 6751,
-  "atia</w>": 10908,
-  "atic": 20248,
-  "atic</w>": 2647,
-  "atically</w>": 13558,
-  "atics</w>": 15666,
-  "atie</w>": 30137,
-  "aties</w>": 40060,
-  "atif</w>": 41592,
-  "atiku</w>": 37912,
-  "atile</w>": 15474,
-  "atility</w>": 23373,
-  "atime</w>": 20158,
-  "atin": 36903,
-  "atin</w>": 23047,
-  "atine</w>": 39741,
-  "ating": 25653,
-  "ating</w>": 1074,
-  "atio</w>": 35401,
-  "ation": 2265,
-  "ation</w>": 656,
-  "ational": 14205,
-  "ational</w>": 3108,
-  "ationals</w>": 44593,
-  "ationday</w>": 20082,
-  "ations</w>": 986,
-  "atis": 45456,
-  "atis</w>": 41142,
-  "atism</w>": 45638,
-  "ative": 18422,
-  "ative</w>": 1648,
-  "atively</w>": 11929,
-  "atives</w>": 5629,
-  "ativity</w>": 25166,
-  "atkins</w>": 27734,
-  "atkinson</w>": 28908,
-  "atl": 5411,
-  "atl</w>": 10629,
-  "atla": 36043,
-  "atlan": 6818,
-  "atlanta": 39964,
-  "atlanta</w>": 6839,
-  "atlantic": 28804,
-  "atlantic</w>": 8189,
-  "atlantis</w>": 27790,
-  "atlas</w>": 15775,
-  "atle": 21170,
-  "atleast</w>": 33231,
-  "atleti</w>": 46067,
-  "atletico</w>": 27501,
-  "atm</w>": 14127,
-  "atmo": 8271,
-  "atmosphere</w>": 10506,
-  "atmospheric</w>": 24223,
-  "ato": 7987,
-  "ato</w>": 4364,
-  "atoday</w>": 26799,
-  "atom": 22418,
-  "atom</w>": 24031,
-  "atomic</w>": 18996,
-  "atoms</w>": 41434,
-  "aton": 31525,
-  "aton</w>": 10012,
-  "atop</w>": 17455,
-  "ator": 10748,
-  "ator</w>": 1962,
-  "atore</w>": 28314,
-  "atorial</w>": 32040,
-  "atories</w>": 35678,
-  "atorium</w>": 41306,
-  "ators</w>": 3389,
-  "atory</w>": 5920,
-  "atos</w>": 41643,
-  "atour</w>": 42967,
-  "atown</w>": 24000,
-  "atp": 38105,
-  "atp</w>": 19817,
-  "atr</w>": 43247,
-  "atra": 20227,
-  "atra</w>": 14401,
-  "atravel</w>": 36981,
-  "atre": 46057,
-  "atri": 13882,
-  "atri</w>": 38889,
-  "atric": 32238,
-  "atric</w>": 13652,
-  "atrics</w>": 36253,
-  "atrist</w>": 41879,
-  "atrium</w>": 29725,
-  "atrix</w>": 43003,
-  "atro": 18724,
-  "atroc": 36197,
-  "atrocities</w>": 37551,
-  "atry</w>": 28334,
-  "ats": 46890,
-  "ats</w>": 1032,
-  "atsu</w>": 26531,
-  "att": 1017,
-  "att</w>": 7103,
-  "atta": 7282,
-  "atta</w>": 9146,
-  "attach": 43676,
-  "attach</w>": 35653,
-  "attached</w>": 11038,
-  "attachment</w>": 28638,
-  "attack": 24971,
-  "attack</w>": 3815,
-  "attacked</w>": 12366,
-  "attacker</w>": 39288,
-  "attackers</w>": 47701,
-  "attacking</w>": 16813,
-  "attacks</w>": 7321,
-  "attain</w>": 46459,
-  "attar</w>": 37110,
-  "attemp": 4933,
-  "attempt</w>": 7409,
-  "attempted</w>": 17408,
-  "attempting</w>": 18195,
-  "attempts</w>": 15610,
-  "atten": 4084,
-  "atten</w>": 32408,
-  "attenborough</w>": 45860,
-  "attend": 9841,
-  "attend</w>": 5802,
-  "attendance</w>": 11928,
-  "attendant</w>": 35424,
-  "attended</w>": 8140,
-  "attendees</w>": 14648,
-  "attending</w>": 6696,
-  "attends</w>": 22248,
-  "attention</w>": 4936,
-  "atters</w>": 30675,
-  "atthe": 21489,
-  "atti": 49265,
-  "atti</w>": 16235,
-  "attic</w>": 26766,
-  "attire</w>": 21222,
-  "attitude</w>": 10648,
-  "attitudes</w>": 27611,
-  "attle": 14685,
-  "attle</w>": 5030,
-  "attn</w>": 25677,
-  "attor": 8856,
-  "attorney</w>": 10372,
-  "attorneys</w>": 29113,
-  "attrac": 7154,
-  "attract</w>": 17010,
-  "attracted</w>": 28493,
-  "attracting</w>": 31909,
-  "attraction</w>": 16807,
-  "attractions</w>": 22307,
-  "attractive</w>": 12231,
-  "attracts</w>": 31024,
-  "attribu": 24624,
-  "attributed</w>": 37520,
-  "attributes</w>": 40763,
-  "attu</w>": 43173,
-  "atty</w>": 36705,
-  "atu": 15191,
-  "atu</w>": 24295,
-  "atuesday</w>": 34841,
-  "atul": 1744,
-  "atul</w>": 43948,
-  "atum</w>": 48295,
-  "atur": 14986,
-  "aturday</w>": 29027,
-  "ature": 25305,
-  "ature</w>": 4490,
-  "atures</w>": 7358,
-  "atus</w>": 14795,
-  "atv</w>": 19598,
-  "atwood</w>": 45680,
-  "atwork</w>": 39680,
-  "atx": 34849,
-  "atx</w>": 20136,
-  "aty": 40974,
-  "aty</w>": 33107,
-  "atz</w>": 30432,
-  "au": 627,
-  "au</w>": 2566,
-  "aua</w>": 45906,
-  "aub</w>": 45938,
-  "auberg": 49382,
-  "aubre": 25899,
-  "aubrey</w>": 34110,
-  "auburn": 42269,
-  "auburn</w>": 14534,
-  "auc": 24489,
-  "auch</w>": 43024,
-  "auck": 14588,
-  "auckland</w>": 16072,
-  "auction": 48160,
-  "auction</w>": 6462,
-  "auctioned</w>": 41073,
-  "auctions</w>": 24876,
-  "aucus</w>": 47374,
-  "aud": 16107,
-  "aud</w>": 19711,
-  "audi": 5091,
-  "audi</w>": 10277,
-  "audible</w>": 33227,
-  "audience</w>": 6863,
-  "audiences</w>": 22328,
-  "audio": 13792,
-  "audio</w>": 5766,
-  "audiobook</w>": 26282,
-  "audit": 12505,
-  "audit</w>": 17625,
-  "auditi": 37377,
-  "audition</w>": 18673,
-  "auditions</w>": 21134,
-  "auditor</w>": 38050,
-  "auditorium</w>": 15063,
-  "audre": 16075,
-  "audrey</w>": 18812,
-  "audu": 27934,
-  "audubon</w>": 40275,
-  "auer</w>": 33460,
-  "auf</w>": 28924,
-  "aug": 15397,
-  "aug</w>": 5720,
-  "auga</w>": 22797,
-  "augh": 28310,
-  "augh</w>": 14005,
-  "augmente": 48356,
-  "augmented</w>": 32708,
-  "augu": 2610,
-  "august": 24353,
-  "august</w>": 3171,
-  "augusta</w>": 26144,
-  "augustine</w>": 27397,
-  "augustus</w>": 36835,
-  "auk</w>": 19058,
-  "aul": 20695,
-  "aul</w>": 34391,
-  "ault": 47253,
-  "ault</w>": 10219,
-  "aun": 10608,
-  "aun</w>": 38721,
-  "aunt</w>": 12685,
-  "auntie</w>": 23783,
-  "aunty</w>": 29528,
-  "aur": 8156,
-  "aur</w>": 17282,
-  "aura</w>": 27728,
-  "aure": 36010,
-  "aureli": 35980,
-  "auror": 30067,
-  "aurora</w>": 13500,
-  "aus": 10624,
-  "aus</w>": 7630,
-  "ausa</w>": 37384,
-  "ausbiz</w>": 46543,
-  "ausch": 33926,
-  "auschwitz</w>": 36523,
-  "ausopen</w>": 27831,
-  "ausp": 35039,
-  "auspicious</w>": 38806,
-  "auspol</w>": 8241,
-  "aussi": 19762,
-  "aussie": 40230,
-  "aussie</w>": 14424,
-  "aussies</w>": 35727,
-  "aust": 26301,
-  "aust</w>": 25418,
-  "austen</w>": 29885,
-  "auster": 25030,
-  "austerity</w>": 26982,
-  "austin": 12845,
-  "austin</w>": 5125,
-  "austinmahone</w>": 34678,
-  "austr": 2518,
-  "australi": 13798,
-  "australia</w>": 3444,
-  "australian": 23630,
-  "australian</w>": 6258,
-  "australians</w>": 31488,
-  "austri": 8946,
-  "austria</w>": 11960,
-  "austrian</w>": 20638,
-  "ausv": 35206,
-  "ausvotes</w>": 34661,
-  "aut</w>": 12343,
-  "auth": 2381,
-  "auth</w>": 38247,
-  "authent": 18158,
-  "authentic": 41266,
-  "authentic</w>": 10369,
-  "authentication</w>": 39746,
-  "authenticity</w>": 35734,
-  "autho": 34552,
-  "author": 14447,
-  "author</w>": 4358,
-  "authored</w>": 37928,
-  "authori": 19207,
-  "authorities</w>": 12729,
-  "authority</w>": 10524,
-  "authorization</w>": 48854,
-  "authorized</w>": 28463,
-  "authors</w>": 10765,
-  "auti": 8200,
-  "autism": 36256,
-  "autism</w>": 11244,
-  "autisma": 43324,
-  "autistic</w>": 29360,
-  "auto": 3917,
-  "auto</w>": 5668,
-  "autobiography</w>": 31509,
-  "autodesk</w>": 40415,
-  "autograph": 10657,
-  "autograph</w>": 13722,
-  "autographed</w>": 16309,
-  "autographs</w>": 17376,
-  "autoimmune</w>": 45509,
-  "autom": 4114,
-  "automate</w>": 43203,
-  "automated</w>": 19022,
-  "automatic</w>": 12126,
-  "automatically</w>": 20725,
-  "automation</w>": 12328,
-  "automobi": 44813,
-  "automobile</w>": 25258,
-  "automotive</w>": 12607,
-  "auton": 13100,
-  "autonews</w>": 43975,
-  "autonom": 17870,
-  "autonomous</w>": 20722,
-  "autonomy</w>": 39223,
-  "autopsy</w>": 44436,
-  "autos</w>": 31118,
-  "autoshow</w>": 46788,
-  "auts</w>": 21140,
-  "autu": 5445,
-  "autum": 31783,
-  "autumn": 28940,
-  "autumn</w>": 6110,
-  "autumnal</w>": 35481,
-  "aux": 18154,
-  "aux</w>": 8909,
-  "auxiliary</w>": 37778,
-  "av": 722,
-  "av</w>": 8484,
-  "ava</w>": 12385,
-  "avage</w>": 31505,
-  "avail": 1651,
-  "avail</w>": 16686,
-  "availability</w>": 17551,
-  "available</w>": 1685,
-  "aval": 18012,
-  "avalan": 23970,
-  "avalanche</w>": 25815,
-  "avalley</w>": 45082,
-  "avalon</w>": 30436,
-  "avan": 27971,
-  "avan</w>": 33351,
-  "avant</w>": 24305,
-  "avar": 33423,
-  "avatar</w>": 18219,
-  "ave": 10062,
-  "ave</w>": 4860,
-  "avec</w>": 25828,
-  "aved</w>": 47918,
-  "avel": 46817,
-  "avel</w>": 48088,
-  "aven": 5963,
-  "aven</w>": 32971,
-  "aveng": 21935,
-  "avenger</w>": 24799,
-  "avengers": 39413,
-  "avengers</w>": 12016,
-  "avengersendgame</w>": 49342,
-  "avent": 22700,
-  "avenue</w>": 7042,
-  "aver": 8788,
-  "aver</w>": 11403,
-  "average</w>": 6254,
-  "averaged</w>": 37310,
-  "averages</w>": 48982,
-  "averaging</w>": 35266,
-  "avery</w>": 20313,
-  "aves</w>": 14023,
-  "avfc</w>": 21304,
-  "avg</w>": 19452,
-  "avgeek</w>": 11114,
-  "avi": 3324,
-  "avi</w>": 11297,
-  "avia</w>": 38710,
-  "avian</w>": 24115,
-  "aviation": 27717,
-  "aviation</w>": 7617,
-  "aviator</w>": 38921,
-  "aviators</w>": 48011,
-  "avici": 46192,
-  "avicii</w>": 49158,
-  "avid</w>": 19118,
-  "avier</w>": 14598,
-  "avila</w>": 45339,
-  "aville</w>": 40689,
-  "avin": 46204,
-  "avis": 45163,
-  "avis</w>": 19765,
-  "aviv</w>": 22130,
-  "aviva</w>": 47122,
-  "aviz</w>": 27607,
-  "avl": 44749,
-  "avo": 4496,
-  "avo</w>": 32400,
-  "avoc": 12291,
-  "avocado</w>": 14135,
-  "avocados</w>": 48911,
-  "avoi": 16797,
-  "avoid": 30448,
-  "avoid</w>": 5983,
-  "avoidance</w>": 47983,
-  "avoided</w>": 32103,
-  "avoiding</w>": 22086,
-  "avoids</w>": 48220,
-  "avon": 22790,
-  "avon</w>": 17348,
-  "avril</w>": 37763,
-  "avs</w>": 31896,
-  "avut</w>": 44472,
-  "avy</w>": 29973,
-  "aw": 808,
-  "aw</w>": 5557,
-  "awa": 4820,
-  "awa</w>": 6872,
-  "await</w>": 20769,
-  "awaited</w>": 20092,
-  "awaiting</w>": 14872,
-  "awaits</w>": 15635,
-  "awak": 9776,
-  "awak</w>": 41387,
-  "awake</w>": 14695,
-  "awaken</w>": 35412,
-  "awakening</w>": 17017,
-  "awakens</w>": 23191,
-  "awal": 42447,
-  "awal</w>": 35090,
-  "awan": 48869,
-  "awan</w>": 20420,
-  "awar": 5745,
-  "award": 36310,
-  "award</w>": 2047,
-  "awarded</w>": 7368,
-  "awarding</w>": 37089,
-  "awards": 34528,
-  "awards</w>": 2320,
-  "aware": 4427,
-  "aware</w>": 7196,
-  "awareness": 19217,
-  "awareness</w>": 4823,
-  "awarenessmonth</w>": 34278,
-  "awarenessweek</w>": 35294,
-  "away": 21088,
-  "away</w>": 1520,
-  "aways</w>": 12782,
-  "awaz</w>": 18586,
-  "awd</w>": 34846,
-  "awe": 1693,
-  "awe</w>": 14106,
-  "aweather": 42142,
-  "aweather</w>": 28681,
-  "awec</w>": 38916,
-  "aweed</w>": 29724,
-  "awesom": 16727,
-  "awesome": 30390,
-  "awesome</w>": 1848,
-  "awesomeness</w>": 22430,
-  "awful</w>": 13617,
-  "awg</w>": 46350,
-  "awgs</w>": 35275,
-  "awh</w>": 39566,
-  "awhile</w>": 19171,
-  "awi</w>": 15167,
-  "awil": 47271,
-  "awilliams</w>": 42163,
-  "awk": 8888,
-  "awk</w>": 40943,
-  "awkward": 42337,
-  "awkward</w>": 10304,
-  "awn</w>": 46222,
-  "awp</w>": 43300,
-  "aws</w>": 19658,
-  "awsome</w>": 47196,
-  "awson</w>": 36286,
-  "aww</w>": 11568,
-  "awww</w>": 15634,
-  "awwww</w>": 26460,
-  "awx</w>": 28385,
-  "ax": 3165,
-  "ax</w>": 9203,
-  "axe</w>": 19861,
-  "axel": 47889,
-  "axel</w>": 32131,
-  "axes</w>": 45970,
-  "axi": 30672,
-  "axial</w>": 46550,
-  "axis</w>": 19614,
-  "axle</w>": 39003,
-  "axx": 47411,
-  "ay": 658,
-  "ay</w>": 551,
-  "aya</w>": 5917,
-  "ayala</w>": 39827,
-  "ayama</w>": 41194,
-  "ayan": 37781,
-  "ayan</w>": 16269,
-  "ayana</w>": 37400,
-  "ayas</w>": 40904,
-  "ayat": 44902,
-  "ayat</w>": 35720,
-  "aye": 21661,
-  "aye</w>": 12446,
-  "ayer</w>": 24852,
-  "ayers</w>": 42783,
-  "ayesha</w>": 46570,
-  "ayi</w>": 33025,
-  "ayles": 44706,
-  "ayne</w>": 35669,
-  "ayo": 21929,
-  "ayo</w>": 18708,
-  "ayr": 23002,
-  "ayr</w>": 36473,
-  "ayrshire</w>": 32687,
-  "ays</w>": 785,
-  "ayu</w>": 40769,
-  "ayurve": 27185,
-  "ayurveda</w>": 38986,
-  "ayush": 44831,
-  "ayy</w>": 32514,
-  "ayyy</w>": 41052,
-  "az": 854,
-  "az</w>": 5468,
-  "aza</w>": 22883,
-  "azad</w>": 37838,
-  "azalea</w>": 34087,
-  "azam</w>": 34727,
-  "azar</w>": 27911,
-  "azcardinals</w>": 48846,
-  "aze": 41157,
-  "aze</w>": 28485,
-  "azer": 19169,
-  "azerbai": 20649,
-  "azerbaijan</w>": 23888,
-  "azhar</w>": 47019,
-  "azi": 23914,
-  "azi</w>": 18452,
-  "azine</w>": 29140,
-  "azione</w>": 48335,
-  "aziz": 41205,
-  "aziz</w>": 29630,
-  "azo</w>": 41227,
-  "azon</w>": 36854,
-  "azores</w>": 42826,
-  "azte": 33270,
-  "aztec</w>": 34749,
-  "aztecs</w>": 49387,
-  "azu": 27701,
-  "azu</w>": 46963,
-  "azul</w>": 39807,
-  "azure</w>": 18514,
-  "azwx</w>": 30262,
-  "azy</w>": 24783,
-  "azz": 9817,
-  "azz</w>": 26453,
-  "azza</w>": 22255,
-  "azzi</w>": 18758,
-  "azzle</w>": 39974,
-  "azzo</w>": 26779,
-  "azzur": 37055,
-  "azzy</w>": 44534,
-  "añ": 23716,
-  "años</w>": 41634,
-  "b": 65,
-  "b</w>": 321,
-  "ba": 932,
-  "ba</w>": 1792,
-  "baa</w>": 33004,
-  "baahu": 34145,
-  "baahubali</w>": 38663,
-  "bab": 1202,
-  "bab</w>": 19039,
-  "baba</w>": 12631,
-  "babe": 31177,
-  "babe</w>": 7716,
-  "babes</w>": 14253,
-  "babies</w>": 6635,
-  "babs</w>": 36217,
-  "babu</w>": 21623,
-  "baby": 7268,
-  "baby</w>": 1794,
-  "babygirl</w>": 39554,
-  "babylon</w>": 31928,
-  "babymetal</w>": 45013,
-  "babys": 22266,
-  "babysitting</w>": 34186,
-  "bac": 2791,
-  "bac</w>": 25867,
-  "bacca</w>": 40708,
-  "bach": 11773,
-  "bach</w>": 8758,
-  "bachchan</w>": 17690,
-  "bachel": 11283,
-  "bachelor": 45508,
-  "bachelor</w>": 16766,
-  "bachelore": 26009,
-  "bachelorette</w>": 29093,
-  "bacher</w>": 49211,
-  "back": 1663,
-  "back</w>": 893,
-  "backbone</w>": 35635,
-  "backdrop</w>": 20802,
-  "backed</w>": 12721,
-  "backer</w>": 22183,
-  "backers</w>": 32934,
-  "background</w>": 5994,
-  "backgrounds</w>": 28215,
-  "backing</w>": 14935,
-  "backlash</w>": 31519,
-  "backpack</w>": 14894,
-  "backpacking</w>": 29524,
-  "backpacks</w>": 37063,
-  "backs</w>": 7562,
-  "backseat</w>": 48812,
-  "backstage</w>": 9236,
-  "backstreet": 46337,
-  "backthe": 26127,
-  "backto": 18703,
-  "backtoschool</w>": 28730,
-  "backtothe": 43059,
-  "backup</w>": 14415,
-  "backward</w>": 37964,
-  "backwards</w>": 21283,
-  "backyard</w>": 12608,
-  "bacon": 48666,
-  "bacon</w>": 7104,
-  "bacter": 11814,
-  "bacteria</w>": 16556,
-  "bacterial</w>": 26101,
-  "bad": 2564,
-  "bad</w>": 2103,
-  "bada</w>": 37475,
-  "badan</w>": 39149,
-  "badass</w>": 11616,
-  "baddest</w>": 38112,
-  "baden</w>": 36690,
-  "bader</w>": 42254,
-  "badge</w>": 11301,
-  "badger": 32686,
-  "badger</w>": 22363,
-  "badgers</w>": 22521,
-  "badges</w>": 20084,
-  "badlands</w>": 43192,
-  "badly</w>": 13684,
-  "badminton</w>": 21412,
-  "badoo</w>": 33192,
-  "bados</w>": 25755,
-  "bae": 32834,
-  "bae</w>": 6855,
-  "baek": 18557,
-  "baek</w>": 32702,
-  "baekhyun</w>": 21572,
-  "baes</w>": 46332,
-  "baf": 13616,
-  "baff": 35693,
-  "bafta</w>": 29199,
-  "bag": 3408,
-  "bag</w>": 3365,
-  "bage</w>": 9698,
-  "bagel</w>": 28777,
-  "bagels</w>": 37489,
-  "baggage</w>": 31402,
-  "bagged</w>": 34047,
-  "bagh": 21659,
-  "bagh</w>": 37271,
-  "baghdad</w>": 30763,
-  "bago</w>": 25105,
-  "bags</w>": 6136,
-  "bagu": 27749,
-  "baguette</w>": 45334,
-  "bah": 8372,
-  "bah</w>": 16685,
-  "baha": 29592,
-  "baham": 43718,
-  "bahamas</w>": 21224,
-  "bahan</w>": 28704,
-  "bahn</w>": 33452,
-  "bahrain</w>": 12503,
-  "bai": 6232,
-  "bai</w>": 23339,
-  "bail": 22933,
-  "bail</w>": 16986,
-  "bailey": 27535,
-  "bailey</w>": 10180,
-  "bain": 40784,
-  "bain</w>": 21593,
-  "bair": 29059,
-  "baird</w>": 40474,
-  "bait</w>": 18010,
-  "baj": 20713,
-  "baja": 40418,
-  "baja</w>": 28374,
-  "bajo</w>": 32619,
-  "bak": 4059,
-  "bak</w>": 23742,
-  "bakar</w>": 41414,
-  "bake": 20736,
-  "bake</w>": 11878,
-  "baked</w>": 10364,
-  "baker": 27303,
-  "baker</w>": 7743,
-  "bakers": 35293,
-  "bakers</w>": 40231,
-  "bakersfield</w>": 40149,
-  "bakery</w>": 13377,
-  "bakes</w>": 43057,
-  "bakhta": 44912,
-  "bakhtawar": 46937,
-  "bakhtawarbz</w>": 47118,
-  "baking</w>": 11467,
-  "baku": 46417,
-  "baku</w>": 31852,
-  "bal": 1398,
-  "bal</w>": 2282,
-  "bala</w>": 20291,
-  "balaji</w>": 48694,
-  "balance": 42894,
-  "balance</w>": 6827,
-  "balanced</w>": 15273,
-  "balances</w>": 37733,
-  "balancing</w>": 23541,
-  "balboa</w>": 45098,
-  "balcony</w>": 16169,
-  "bald": 11153,
-  "bald</w>": 14875,
-  "baldhead</w>": 29191,
-  "baldwin</w>": 16242,
-  "bale": 48573,
-  "bale</w>": 18873,
-  "bales</w>": 42879,
-  "bali": 16432,
-  "bali</w>": 10900,
-  "balkan</w>": 48499,
-  "balkans</w>": 42987,
-  "ball": 3807,
-  "ball</w>": 1069,
-  "balla": 42246,
-  "ballad</w>": 33472,
-  "ballarat</w>": 46645,
-  "ballard</w>": 31750,
-  "baller": 49194,
-  "baller</w>": 25655,
-  "ballerina</w>": 34962,
-  "ballers</w>": 34173,
-  "ballet</w>": 10703,
-  "balli": 29406,
-  "ballin": 47444,
-  "ballin</w>": 33057,
-  "balling</w>": 47588,
-  "ballis": 46675,
-  "ballistic</w>": 36667,
-  "ballo": 8871,
-  "ballon</w>": 36469,
-  "balloon</w>": 13634,
-  "balloons</w>": 18130,
-  "ballot</w>": 14185,
-  "ballots</w>": 35051,
-  "ballpark</w>": 26080,
-  "ballroom</w>": 15493,
-  "balls</w>": 6927,
-  "bally": 17275,
-  "bally</w>": 29451,
-  "balm</w>": 24962,
-  "balmain</w>": 45929,
-  "balo": 12395,
-  "baloch</w>": 23173,
-  "balochistan</w>": 21918,
-  "balot": 44615,
-  "balotelli</w>": 45721,
-  "bals</w>": 44154,
-  "balsam": 29121,
-  "balsamic</w>": 32654,
-  "balt</w>": 24441,
-  "balti": 8400,
-  "baltic</w>": 23817,
-  "baltimore": 38502,
-  "baltimore</w>": 9582,
-  "balu": 38093,
-  "bam": 6383,
-  "bam</w>": 12686,
-  "bama</w>": 20021,
-  "bambam</w>": 34538,
-  "bambi</w>": 46596,
-  "bamboo": 49322,
-  "bamboo</w>": 16748,
-  "ban": 1159,
-  "ban</w>": 2777,
-  "bana</w>": 18428,
-  "banan": 38410,
-  "banana</w>": 8922,
-  "bananas</w>": 19121,
-  "banc": 39252,
-  "band": 4613,
-  "band</w>": 1963,
-  "banda</w>": 31865,
-  "bandai</w>": 42054,
-  "bandana</w>": 39265,
-  "bandcamp</w>": 32229,
-  "banded</w>": 37804,
-  "bandic": 44400,
-  "bandit</w>": 27639,
-  "bandits</w>": 33940,
-  "bandra</w>": 41393,
-  "bands</w>": 7858,
-  "bandung</w>": 29512,
-  "bandwagon</w>": 36432,
-  "bandwidth</w>": 48859,
-  "bane</w>": 9597,
-  "banerjee</w>": 48102,
-  "banff</w>": 29565,
-  "bang": 3524,
-  "bang</w>": 6907,
-  "bangalore</w>": 14697,
-  "banger</w>": 24872,
-  "bangers</w>": 38311,
-  "banging</w>": 33033,
-  "bangkok</w>": 12351,
-  "bangla": 10339,
-  "bangla</w>": 45928,
-  "bangladesh</w>": 11245,
-  "bangle</w>": 37634,
-  "bangor</w>": 31190,
-  "bangs</w>": 27992,
-  "bangtan</w>": 39131,
-  "bani</w>": 19732,
-  "banjo</w>": 27014,
-  "bank": 7061,
-  "bank</w>": 2723,
-  "banker</w>": 27316,
-  "bankers</w>": 30599,
-  "bankholiday": 48868,
-  "banking</w>": 9566,
-  "bankno": 49201,
-  "bankof": 39120,
-  "bankrup": 21904,
-  "bankrupt": 23077,
-  "bankrupt</w>": 37288,
-  "bankruptcy</w>": 23978,
-  "banks</w>": 6367,
-  "banksy</w>": 33350,
-  "bann": 5304,
-  "banned</w>": 12012,
-  "banner</w>": 9185,
-  "banners</w>": 23145,
-  "banning</w>": 26246,
-  "bannon</w>": 29710,
-  "bano</w>": 42947,
-  "banquet</w>": 14254,
-  "bans</w>": 15146,
-  "bant": 23301,
-  "bant</w>": 46657,
-  "banter</w>": 25535,
-  "bao": 39487,
-  "bao</w>": 20408,
-  "bap": 7415,
-  "bap</w>": 23754,
-  "bapti": 15477,
-  "baptism</w>": 36765,
-  "baptist</w>": 13274,
-  "baptiste</w>": 45770,
-  "baptized</w>": 45400,
-  "bar": 1040,
-  "bar</w>": 2411,
-  "bara</w>": 19345,
-  "barack": 18670,
-  "barack</w>": 22481,
-  "barackobama</w>": 18885,
-  "barak": 47419,
-  "barak</w>": 16260,
-  "barang": 38446,
-  "barb": 24173,
-  "barb</w>": 20913,
-  "barbados</w>": 26992,
-  "barbar": 7906,
-  "barbara</w>": 10937,
-  "barbarian</w>": 42530,
-  "barbe": 18372,
-  "barbecue</w>": 23501,
-  "barber": 19517,
-  "barber</w>": 12296,
-  "barbershop</w>": 37707,
-  "barbican</w>": 47668,
-  "barbie</w>": 16923,
-  "barca</w>": 22942,
-  "barcel": 6134,
-  "barcelon": 47820,
-  "barcelona</w>": 6412,
-  "barclay": 48877,
-  "barclay</w>": 45276,
-  "barclays</w>": 29538,
-  "bard": 39812,
-  "bard</w>": 17514,
-  "bare": 16023,
-  "bare</w>": 14318,
-  "barefoot</w>": 30327,
-  "barely</w>": 12684,
-  "bargain</w>": 15076,
-  "bargaining</w>": 41282,
-  "bargains</w>": 34126,
-  "barge</w>": 28272,
-  "bari": 21428,
-  "bari</w>": 28016,
-  "barista</w>": 31078,
-  "barit": 46300,
-  "bark": 32333,
-  "bark</w>": 16560,
-  "barker</w>": 20618,
-  "barking</w>": 32676,
-  "barkley</w>": 30266,
-  "barley</w>": 22607,
-  "barlow</w>": 25483,
-  "barn": 10490,
-  "barn</w>": 10942,
-  "barnab": 43272,
-  "barnard</w>": 44332,
-  "barne": 42527,
-  "barnes</w>": 13102,
-  "barnet</w>": 41943,
-  "barnett</w>": 27650,
-  "barney</w>": 24563,
-  "barns</w>": 43759,
-  "barnsley": 37109,
-  "barnsley</w>": 32153,
-  "baro": 17422,
-  "baro</w>": 30817,
-  "baron": 48371,
-  "baron</w>": 19349,
-  "baroness</w>": 45056,
-  "barons</w>": 45596,
-  "baroque</w>": 25065,
-  "barr": 39473,
-  "barr</w>": 22492,
-  "barra": 28442,
-  "barra</w>": 33542,
-  "barrabest</w>": 41376,
-  "barrac": 40835,
-  "barracks</w>": 35822,
-  "barre": 13840,
-  "barre</w>": 38257,
-  "barred</w>": 33261,
-  "barrel</w>": 11703,
-  "barrels</w>": 22059,
-  "barren</w>": 46743,
-  "barrett</w>": 18701,
-  "barri": 8660,
-  "barric": 29189,
-  "barrie</w>": 27090,
-  "barrier</w>": 15706,
-  "barriers</w>": 16321,
-  "barrington</w>": 48954,
-  "barron</w>": 34881,
-  "barrow": 42568,
-  "barrow</w>": 24983,
-  "barry": 18028,
-  "barry</w>": 8461,
-  "barrymore</w>": 49310,
-  "bars</w>": 8616,
-  "barstool": 44826,
-  "bart": 14838,
-  "bart</w>": 12870,
-  "bartender</w>": 33498,
-  "barthol": 48989,
-  "bartlett</w>": 37130,
-  "bartol": 38209,
-  "barton": 48853,
-  "barton</w>": 20345,
-  "baru</w>": 16356,
-  "barun": 38278,
-  "barunsob": 41398,
-  "barça</w>": 32788,
-  "bas": 1244,
-  "bas</w>": 11420,
-  "basa</w>": 26142,
-  "base": 2776,
-  "base</w>": 4579,
-  "baseball": 23479,
-  "baseball</w>": 3470,
-  "based": 35196,
-  "based</w>": 2812,
-  "basel": 42803,
-  "basel</w>": 20903,
-  "baseline</w>": 40648,
-  "baseman</w>": 45910,
-  "basement</w>": 14792,
-  "bases</w>": 20496,
-  "bash": 20462,
-  "bash</w>": 10972,
-  "bashing</w>": 37545,
-  "bashir</w>": 42799,
-  "basic": 40452,
-  "basic</w>": 7696,
-  "basically</w>": 9125,
-  "basics</w>": 15825,
-  "basil": 19225,
-  "basil</w>": 14936,
-  "basilica</w>": 27879,
-  "basin</w>": 16117,
-  "basing": 47321,
-  "basis</w>": 12278,
-  "baske": 3713,
-  "basket</w>": 10338,
-  "basketball": 40023,
-  "basketball</w>": 3835,
-  "baskets</w>": 27787,
-  "basking</w>": 39769,
-  "basque</w>": 37175,
-  "bass": 22831,
-  "bass</w>": 5992,
-  "bassett</w>": 45992,
-  "bassist</w>": 26496,
-  "bast": 28092,
-  "basti": 8559,
-  "bastille</w>": 41874,
-  "bat": 2121,
-  "bat</w>": 6575,
-  "bata</w>": 39277,
-  "batb</w>": 33962,
-  "batch</w>": 9413,
-  "bate": 25034,
-  "bate</w>": 28277,
-  "bateman</w>": 41635,
-  "bates</w>": 21727,
-  "batgirl</w>": 46460,
-  "bath": 6064,
-  "bath</w>": 5713,
-  "bathing</w>": 20144,
-  "bathro": 21201,
-  "bathroom</w>": 8470,
-  "bathrooms</w>": 26434,
-  "baths</w>": 19442,
-  "bathtub</w>": 39942,
-  "bathurst</w>": 36365,
-  "bati": 23362,
-  "bati</w>": 37589,
-  "batman": 27811,
-  "batman</w>": 7223,
-  "baton</w>": 24331,
-  "bats</w>": 14984,
-  "batsman</w>": 35432,
-  "batt": 2407,
-  "batt</w>": 48595,
-  "battalion</w>": 20820,
-  "batter": 12654,
-  "batter</w>": 31855,
-  "battered</w>": 34375,
-  "batteries</w>": 16666,
-  "battersea</w>": 35839,
-  "battery</w>": 7870,
-  "batting</w>": 17401,
-  "battle": 7344,
-  "battle</w>": 3528,
-  "battled</w>": 37837,
-  "battlefield</w>": 16055,
-  "battlefront</w>": 42214,
-  "battleof": 47560,
-  "battles</w>": 14213,
-  "battleship</w>": 35165,
-  "battling</w>": 17268,
-  "bau": 6055,
-  "bau</w>": 34840,
-  "bauer</w>": 22903,
-  "baugh</w>": 41301,
-  "baum</w>": 19840,
-  "bautista</w>": 31881,
-  "bav": 21075,
-  "bavaria</w>": 39977,
-  "bavarian</w>": 44458,
-  "baw": 19808,
-  "bax": 21216,
-  "baxter</w>": 26168,
-  "bay": 3631,
-  "bay</w>": 2174,
-  "baya</w>": 31573,
-  "bayan</w>": 43895,
-  "bayarea</w>": 28260,
-  "bayer": 48548,
-  "bayer</w>": 29183,
-  "bayern</w>": 14666,
-  "baylor</w>": 21721,
-  "bayou</w>": 33955,
-  "bays</w>": 40156,
-  "baz": 10430,
-  "baz</w>": 25268,
-  "bazaar</w>": 20070,
-  "bazar</w>": 49298,
-  "bb": 1174,
-  "bb</w>": 3529,
-  "bba</w>": 27762,
-  "bball</w>": 15664,
-  "bbb</w>": 33535,
-  "bbc": 5123,
-  "bbc</w>": 5188,
-  "bbcc": 39052,
-  "bbce": 33818,
-  "bbcnews</w>": 29370,
-  "bbcone</w>": 28259,
-  "bbcqt</w>": 37343,
-  "bbcr</w>": 35802,
-  "bbcra": 17115,
-  "bbcradi": 49213,
-  "bbcradio</w>": 22876,
-  "bbcsport</w>": 49321,
-  "bbcspringwatch</w>": 37358,
-  "bbctwo</w>": 40395,
-  "bbcworld</w>": 47340,
-  "bbe</w>": 37559,
-  "bbed</w>": 9077,
-  "bber</w>": 7933,
-  "bbers</w>": 36494,
-  "bbhutto": 28085,
-  "bbhuttozardari</w>": 28135,
-  "bbi</w>": 37047,
-  "bbin</w>": 38553,
-  "bbing</w>": 9787,
-  "bbins</w>": 42504,
-  "bbl</w>": 21961,
-  "bble": 26570,
-  "bble</w>": 5924,
-  "bbled</w>": 37626,
-  "bbles</w>": 18093,
-  "bblo": 21231,
-  "bbloggers</w>": 26614,
-  "bbly</w>": 43031,
-  "bbm</w>": 25382,
-  "bbmas</w>": 22145,
-  "bbn</w>": 28427,
-  "bbnaija</w>": 20984,
-  "bbo</w>": 21892,
-  "bbq": 41270,
-  "bbq</w>": 6726,
-  "bbs</w>": 10002,
-  "bbuk</w>": 45978,
-  "bby": 11166,
-  "bby</w>": 3810,
-  "bc": 3116,
-  "bc</w>": 2162,
-  "bcc</w>": 41509,
-  "bcci</w>": 36138,
-  "bce</w>": 36510,
-  "bcfc</w>": 34359,
-  "bch</w>": 36684,
-  "bcn</w>": 25766,
-  "bcoz</w>": 46373,
-  "bcpoli</w>": 24389,
-  "bcs</w>": 24909,
-  "bcu</w>": 28299,
-  "bd": 24358,
-  "bd</w>": 11165,
-  "bday": 33022,
-  "bday</w>": 5781,
-  "bdg</w>": 48418,
-  "bds</w>": 26732,
-  "be": 571,
-  "be</w>": 655,
-  "bea": 21886,
-  "bea</w>": 20925,
-  "beach": 6068,
-  "beach</w>": 2117,
-  "beaches</w>": 12183,
-  "beachlife</w>": 43824,
-  "beacon": 36883,
-  "beacon</w>": 18858,
-  "beacons</w>": 39395,
-  "bead": 31621,
-  "bead</w>": 23557,
-  "beaded</w>": 26661,
-  "beads</w>": 14099,
-  "beagle</w>": 30044,
-  "beak</w>": 36498,
-  "beal</w>": 45769,
-  "beale</w>": 39717,
-  "beam": 35339,
-  "beam</w>": 13663,
-  "beams</w>": 23993,
-  "bean": 16471,
-  "bean</w>": 5328,
-  "beanie</w>": 21534,
-  "beans</w>": 8302,
-  "bear": 6375,
-  "bear</w>": 4298,
-  "bearable</w>": 38608,
-  "bearcats</w>": 33242,
-  "beard": 26157,
-  "beard</w>": 9052,
-  "bearded</w>": 28459,
-  "beardown</w>": 43687,
-  "beards</w>": 33020,
-  "bearer</w>": 30686,
-  "bearers</w>": 47986,
-  "bearing</w>": 18370,
-  "bearings</w>": 42083,
-  "bearish</w>": 34829,
-  "bears</w>": 6182,
-  "beasley</w>": 43349,
-  "beast": 20847,
-  "beast</w>": 6957,
-  "beastmode</w>": 43076,
-  "beasts</w>": 21771,
-  "beat": 3774,
-  "beat</w>": 3018,
-  "beaten</w>": 10864,
-  "beater</w>": 41974,
-  "beati": 44386,
-  "beating</w>": 10078,
-  "beatles</w>": 11961,
-  "beatport</w>": 31421,
-  "beatrice</w>": 36922,
-  "beats</w>": 6289,
-  "beatthe": 40550,
-  "beatty</w>": 39903,
-  "beatz</w>": 33363,
-  "beau": 1016,
-  "beau</w>": 14298,
-  "beaufort</w>": 45423,
-  "beaumont</w>": 32857,
-  "beaut</w>": 24559,
-  "beauti": 1154,
-  "beauties</w>": 14874,
-  "beautiful": 13662,
-  "beautiful</w>": 1215,
-  "beautifully</w>": 10627,
-  "beauty": 12881,
-  "beauty</w>": 2488,
-  "beav": 23260,
-  "beaver": 26432,
-  "beaver</w>": 22874,
-  "beavers</w>": 34513,
-  "beavs</w>": 43909,
-  "bebe</w>": 23331,
-  "bec": 6899,
-  "bec</w>": 10773,
-  "became</w>": 5464,
-  "because": 32714,
-  "because</w>": 1631,
-  "becca</w>": 27088,
-  "bech": 44055,
-  "beck": 8256,
-  "beck</w>": 10396,
-  "becker</w>": 26918,
-  "beckett</w>": 27249,
-  "beckham</w>": 18764,
-  "becky": 32406,
-  "becky</w>": 18921,
-  "become</w>": 2989,
-  "becomes</w>": 6766,
-  "becoming</w>": 6208,
-  "bed": 4152,
-  "bed</w>": 2722,
-  "bedding</w>": 31761,
-  "bedford</w>": 20779,
-  "bedi</w>": 39181,
-  "bedro": 18415,
-  "bedroom</w>": 8411,
-  "bedrooms</w>": 23996,
-  "beds</w>": 13914,
-  "bedside</w>": 47473,
-  "bedtime</w>": 22115,
-  "bee": 6097,
-  "bee</w>": 5028,
-  "beech": 32733,
-  "beech</w>": 27596,
-  "beef": 21703,
-  "beef</w>": 6529,
-  "beek</w>": 37915,
-  "been": 33986,
-  "been</w>": 1025,
-  "beep</w>": 33432,
-  "beer": 8885,
-  "beer</w>": 2544,
-  "beers</w>": 10907,
-  "bees": 36249,
-  "bees</w>": 9100,
-  "beet": 12582,
-  "beet</w>": 28621,
-  "beethoven</w>": 23656,
-  "beetle</w>": 16534,
-  "beetles</w>": 36317,
-  "beetro": 29251,
-  "beetroot</w>": 31638,
-  "beets</w>": 36087,
-  "before": 20898,
-  "before</w>": 1348,
-  "beg": 2219,
-  "beg</w>": 22401,
-  "began</w>": 8636,
-  "begg": 36769,
-  "begging</w>": 25371,
-  "begin": 19197,
-  "begin</w>": 4947,
-  "beginner</w>": 24351,
-  "beginners</w>": 21930,
-  "beginning</w>": 5791,
-  "beginnings</w>": 22581,
-  "begins</w>": 4635,
-  "begs</w>": 43531,
-  "begun</w>": 10514,
-  "beh": 21971,
-  "beh</w>": 41612,
-  "beha": 5737,
-  "behalf</w>": 11470,
-  "behave</w>": 28825,
-  "behaved</w>": 41617,
-  "behavi": 6149,
-  "behaving</w>": 40745,
-  "behavior</w>": 10461,
-  "behavioral</w>": 25135,
-  "behaviors</w>": 37741,
-  "behaviour</w>": 14655,
-  "behavioural</w>": 46019,
-  "behe": 42329,
-  "behin": 2335,
-  "behind</w>": 2403,
-  "behindthe": 21104,
-  "behindthescenes</w>": 26253,
-  "behold</w>": 15929,
-  "bei": 38991,
-  "bei</w>": 23227,
-  "beige</w>": 26677,
-  "beij": 11547,
-  "beijing</w>": 11796,
-  "bein": 39117,
-  "bein</w>": 24168,
-  "being": 13481,
-  "being</w>": 1265,
-  "beings</w>": 17998,
-  "beingsalmankhan</w>": 19637,
-  "beir": 20176,
-  "beirut</w>": 22352,
-  "beit</w>": 26963,
-  "bek": 46846,
-  "bek</w>": 26135,
-  "bekind</w>": 46691,
-  "bel": 1308,
-  "bel</w>": 3543,
-  "bela</w>": 30555,
-  "belarus</w>": 30849,
-  "belated</w>": 20256,
-  "belfast": 35100,
-  "belfast</w>": 10015,
-  "belgi": 7001,
-  "belgian</w>": 15008,
-  "belgium</w>": 10239,
-  "belgrade</w>": 30502,
-  "beli": 1859,
-  "beli</w>": 45842,
-  "belichick</w>": 46132,
-  "belie": 20854,
-  "beliebers</w>": 27714,
-  "belief</w>": 14802,
-  "beliefs</w>": 20575,
-  "believ": 4972,
-  "believe": 15819,
-  "believe</w>": 2649,
-  "believed</w>": 13380,
-  "believein": 24294,
-  "believeinfilm</w>": 37375,
-  "believer</w>": 26057,
-  "believers</w>": 28434,
-  "believes</w>": 12017,
-  "believing</w>": 19551,
-  "belinda</w>": 44415,
-  "belize</w>": 27990,
-  "bell": 5417,
-  "bell</w>": 3718,
-  "bella": 18282,
-  "bella</w>": 10418,
-  "bellamy</w>": 34461,
-  "bellator</w>": 31985,
-  "belle": 13587,
-  "belle</w>": 11496,
-  "belles</w>": 40678,
-  "bellevue</w>": 32715,
-  "belli": 43335,
-  "bellletstalk</w>": 42695,
-  "bello</w>": 21954,
-  "bells</w>": 12811,
-  "bellum</w>": 35493,
-  "belly": 25901,
-  "belly</w>": 10404,
-  "belmont</w>": 25612,
-  "belo": 8379,
-  "belo</w>": 41649,
-  "belong": 16453,
-  "belong</w>": 13596,
-  "belonged</w>": 39893,
-  "belonging</w>": 28193,
-  "belongs</w>": 14395,
-  "beloved</w>": 9363,
-  "below</w>": 3788,
-  "bels</w>": 43127,
-  "belt": 36416,
-  "belt</w>": 7373,
-  "belts</w>": 21888,
-  "belvedere</w>": 48003,
-  "ben": 1465,
-  "ben</w>": 3518,
-  "bena</w>": 46249,
-  "bench": 17770,
-  "bench</w>": 8771,
-  "benches</w>": 36349,
-  "benchmark</w>": 31775,
-  "bend": 22100,
-  "bend</w>": 13332,
-  "bender</w>": 22551,
-  "bendigo</w>": 48197,
-  "bending</w>": 33897,
-  "bene": 12091,
-  "bene</w>": 47151,
-  "beneath</w>": 16850,
-  "bened": 13216,
-  "benedic": 24402,
-  "benedict": 47896,
-  "benedict</w>": 18027,
-  "benef": 3260,
-  "benefici": 38593,
-  "beneficial</w>": 24660,
-  "beneficiaries</w>": 42160,
-  "benefit</w>": 6399,
-  "benefited</w>": 48266,
-  "benefiting</w>": 29474,
-  "benefits</w>": 5465,
-  "benefitting</w>": 47222,
-  "benevol": 47060,
-  "benfica</w>": 33873,
-  "beng": 6962,
-  "bengal": 17404,
-  "bengal</w>": 16374,
-  "bengali</w>": 33774,
-  "bengals</w>": 23737,
-  "bengaluru</w>": 21707,
-  "benghazi</w>": 25967,
-  "benin</w>": 40296,
-  "benitez</w>": 46711,
-  "benjam": 10550,
-  "benjamin": 38647,
-  "benjamin</w>": 12131,
-  "benji</w>": 43548,
-  "benn</w>": 39097,
-  "bennet</w>": 48536,
-  "bennett</w>": 12186,
-  "benny": 42369,
-  "benny</w>": 20595,
-  "beno": 35268,
-  "benoit</w>": 44373,
-  "benson</w>": 19578,
-  "bent": 9809,
-  "bent</w>": 18369,
-  "bentley</w>": 16859,
-  "benton</w>": 30812,
-  "benz": 27937,
-  "benz</w>": 13470,
-  "ber": 867,
-  "ber</w>": 1516,
-  "bera</w>": 32802,
-  "bere": 17458,
-  "bered</w>": 9193,
-  "beren": 33654,
-  "beret</w>": 41658,
-  "berg": 12022,
-  "berg</w>": 3294,
-  "bergen</w>": 22918,
-  "berger": 35933,
-  "berger</w>": 13873,
-  "bergh</w>": 35120,
-  "bergman</w>": 42597,
-  "bergs</w>": 43592,
-  "berk": 15633,
-  "berke": 14639,
-  "berkeley": 46049,
-  "berkeley</w>": 16667,
-  "berkshire</w>": 27300,
-  "berlin": 23532,
-  "berlin</w>": 5891,
-  "berman</w>": 21514,
-  "bermu": 21032,
-  "bermuda</w>": 24644,
-  "bern": 9195,
-  "bern</w>": 18382,
-  "bernade": 46242,
-  "bernar": 11962,
-  "bernard</w>": 14579,
-  "bernardino</w>": 35328,
-  "bernardo": 27137,
-  "bernardo</w>": 28696,
-  "bernardokath</w>": 29081,
-  "bernat": 40578,
-  "berni": 18798,
-  "bernie": 40093,
-  "bernie</w>": 10503,
-  "berniesanders</w>": 23745,
-  "bernstein</w>": 33936,
-  "berra</w>": 15089,
-  "berries</w>": 8319,
-  "berry": 15334,
-  "berry</w>": 3488,
-  "bers</w>": 6408,
-  "berser": 39037,
-  "bert": 17340,
-  "bert</w>": 2358,
-  "berta</w>": 45187,
-  "berth</w>": 28317,
-  "bertie</w>": 47182,
-  "berto</w>": 34073,
-  "bertr": 36962,
-  "bertrand</w>": 41594,
-  "berts</w>": 30205,
-  "berty</w>": 35973,
-  "berwick</w>": 40407,
-  "bery</w>": 11411,
-  "bes": 26911,
-  "bes</w>": 3635,
-  "beside</w>": 13519,
-  "besides</w>": 17596,
-  "bespoke</w>": 15612,
-  "bess</w>": 43791,
-  "best": 3419,
-  "best</w>": 949,
-  "bestbuy</w>": 29749,
-  "bestest</w>": 31199,
-  "bestfan": 23880,
-  "bestfanarmy</w>": 24590,
-  "bestfriend": 29832,
-  "bestfriend</w>": 11856,
-  "bestfriends</w>": 23555,
-  "besti": 35210,
-  "bestie</w>": 17188,
-  "besties</w>": 27346,
-  "besto": 28615,
-  "bestof": 27892,
-  "bestof</w>": 39533,
-  "bestseller</w>": 25841,
-  "bestselling</w>": 28632,
-  "bet": 1051,
-  "bet</w>": 4430,
-  "beta": 43188,
-  "beta</w>": 9505,
-  "betes</w>": 10255,
-  "beth": 9993,
-  "beth</w>": 4892,
-  "bethan": 18781,
-  "bethany": 39130,
-  "bethany</w>": 27952,
-  "bethe": 12624,
-  "bethel</w>": 33410,
-  "bethesda</w>": 32527,
-  "bethle": 30760,
-  "bethlehem</w>": 31827,
-  "betis</w>": 45590,
-  "beto</w>": 33721,
-  "betra": 18436,
-  "betrayal</w>": 33171,
-  "betrayed</w>": 35692,
-  "bets</w>": 17107,
-  "betsy</w>": 28946,
-  "bett": 17715,
-  "bett</w>": 20489,
-  "betta</w>": 36387,
-  "bette</w>": 35855,
-  "better": 10320,
-  "better</w>": 1539,
-  "bettertogether</w>": 47392,
-  "betting</w>": 14319,
-  "betts</w>": 38637,
-  "betty": 36175,
-  "betty</w>": 14350,
-  "between</w>": 1957,
-  "beu": 38660,
-  "bev": 40324,
-  "bev</w>": 30968,
-  "bever": 9924,
-  "beverage</w>": 18694,
-  "beverages</w>": 28521,
-  "beverley</w>": 39165,
-  "beverly": 30906,
-  "beverly</w>": 16728,
-  "beverlyhills</w>": 45363,
-  "beware</w>": 14532,
-  "bewithyou</w>": 36787,
-  "bex": 18676,
-  "bex</w>": 24748,
-  "bexhill</w>": 49200,
-  "bey": 3234,
-  "bey</w>": 6767,
-  "beyon": 11447,
-  "beyonce</w>": 16632,
-  "beyoncé</w>": 19219,
-  "beyond": 22246,
-  "beyond</w>": 4432,
-  "bez": 28592,
-  "bez</w>": 46764,
-  "bezos</w>": 45000,
-  "bf": 19858,
-  "bf</w>": 7990,
-  "bfc</w>": 37183,
-  "bff</w>": 11984,
-  "bffs</w>": 31462,
-  "bfi</w>": 34244,
-  "bg": 16674,
-  "bg</w>": 11295,
-  "bgc</w>": 47598,
-  "bgs</w>": 47963,
-  "bgt</w>": 40665,
-  "bh": 9930,
-  "bh</w>": 13603,
-  "bha": 6144,
-  "bha</w>": 33068,
-  "bhafc</w>": 30779,
-  "bhagat</w>": 49136,
-  "bhai": 48370,
-  "bhai</w>": 20508,
-  "bhak": 34501,
-  "bham": 31874,
-  "bham</w>": 23491,
-  "bhan": 27356,
-  "bhand": 48679,
-  "bhar": 9108,
-  "bharat": 27454,
-  "bharat</w>": 17430,
-  "bharti</w>": 46803,
-  "bhat": 23784,
-  "bhatt</w>": 36143,
-  "bhav": 44950,
-  "bhi": 28943,
-  "bhi</w>": 21955,
-  "bhk</w>": 45070,
-  "bhm</w>": 38741,
-  "bho": 19721,
-  "bhopal</w>": 44573,
-  "bhp</w>": 29776,
-  "bhs</w>": 29195,
-  "bhu": 9172,
-  "bhuban": 38729,
-  "bhubanes": 41213,
-  "bhubaneswar</w>": 45888,
-  "bhushan</w>": 40884,
-  "bhutan</w>": 32391,
-  "bhutto</w>": 30153,
-  "bi": 717,
-  "bi</w>": 3035,
-  "bia</w>": 3841,
-  "biaf": 26961,
-  "biafra</w>": 36355,
-  "bian": 19531,
-  "bian</w>": 9027,
-  "bianca</w>": 25854,
-  "bianchi</w>": 45720,
-  "bians</w>": 28141,
-  "bias</w>": 11268,
-  "biased</w>": 22178,
-  "bib": 44607,
-  "bib</w>": 21022,
-  "bibi</w>": 31182,
-  "bibl": 20912,
-  "bible": 26738,
-  "bible</w>": 7583,
-  "bibli": 23465,
-  "biblical</w>": 22841,
-  "biblio": 49131,
-  "bic": 5960,
-  "bic</w>": 10675,
-  "bice": 35589,
-  "biceps</w>": 46735,
-  "bick": 27238,
-  "bicy": 9247,
-  "bicycle</w>": 11652,
-  "bicycles</w>": 31326,
-  "bid": 21035,
-  "bid</w>": 5553,
-  "bidding</w>": 23237,
-  "bide</w>": 45178,
-  "biden</w>": 19451,
-  "bids</w>": 16148,
-  "bie": 5561,
-  "bie</w>": 4173,
-  "bieber": 48725,
-  "bieber</w>": 7535,
-  "bien": 19176,
-  "bien</w>": 25742,
-  "biennale</w>": 33776,
-  "biennial</w>": 36609,
-  "bier": 27226,
-  "bier</w>": 23508,
-  "bies</w>": 7867,
-  "big": 1915,
-  "big</w>": 1205,
-  "bigbaldhead</w>": 30325,
-  "bigbang": 41680,
-  "bigbang</w>": 23734,
-  "bigdata</w>": 9440,
-  "bige": 37762,
-  "bigfoot</w>": 37095,
-  "bigg": 15312,
-  "bigg</w>": 35399,
-  "biggboss</w>": 27056,
-  "bigger</w>": 6806,
-  "biggest": 19483,
-  "biggest</w>": 3505,
-  "biggie</w>": 28392,
-  "biggs</w>": 46507,
-  "bigh": 18106,
-  "bighit</w>": 35508,
-  "bigo": 14278,
-  "bigolive</w>": 20735,
-  "bigotry</w>": 37269,
-  "bigre": 36330,
-  "bih</w>": 33471,
-  "bihar</w>": 22849,
-  "bij": 42478,
-  "bik": 30306,
-  "bike": 11686,
-  "bike</w>": 3701,
-  "biker": 36100,
-  "biker</w>": 23449,
-  "bikers</w>": 29468,
-  "bikes</w>": 9227,
-  "bikin": 12638,
-  "biking</w>": 19157,
-  "bikini</w>": 14531,
-  "bil": 3092,
-  "bil</w>": 20506,
-  "bilateral</w>": 25599,
-  "bilbao</w>": 34802,
-  "bild</w>": 35512,
-  "bile</w>": 25943,
-  "bilingual</w>": 29623,
-  "bilities</w>": 13582,
-  "bility</w>": 4694,
-  "bill": 4444,
-  "bill</w>": 2886,
-  "billboard</w>": 10856,
-  "billboards</w>": 34741,
-  "billed</w>": 37558,
-  "billi": 7693,
-  "billie</w>": 23990,
-  "billing</w>": 31797,
-  "billings</w>": 43615,
-  "billion": 14520,
-  "billion</w>": 5729,
-  "billionaire</w>": 19475,
-  "billionaires</w>": 41590,
-  "billions</w>": 20742,
-  "bills</w>": 9810,
-  "billsmafia</w>": 48845,
-  "billy": 15626,
-  "billy</w>": 6814,
-  "bilt": 44770,
-  "bilt</w>": 26654,
-  "bim": 46737,
-  "bim</w>": 24775,
-  "bin": 4849,
-  "bin</w>": 5346,
-  "binance</w>": 43520,
-  "binary</w>": 23497,
-  "bind</w>": 44513,
-  "binder</w>": 30541,
-  "binding</w>": 21287,
-  "bine</w>": 34848,
-  "bing": 24818,
-  "bing</w>": 5665,
-  "binge</w>": 22600,
-  "bingham": 43785,
-  "bingham</w>": 47296,
-  "bingo</w>": 18418,
-  "bino": 29172,
-  "bino</w>": 24313,
-  "bins</w>": 26934,
-  "bint": 43647,
-  "bio": 2830,
-  "bio</w>": 5162,
-  "biode": 43502,
-  "biodegradable</w>": 47740,
-  "biodiversity</w>": 17428,
-  "biof": 45158,
-  "biographical</w>": 49232,
-  "biography</w>": 15423,
-  "biological</w>": 18821,
-  "biologist</w>": 35149,
-  "biology</w>": 9796,
-  "biom": 13010,
-  "biomar": 44549,
-  "biomass</w>": 36746,
-  "biome": 26218,
-  "biomed": 29280,
-  "biomedical</w>": 33117,
-  "bionic</w>": 46201,
-  "biop": 15009,
-  "biopic</w>": 27942,
-  "bios</w>": 48505,
-  "biotech</w>": 22514,
-  "biotechnology</w>": 40375,
-  "biotic</w>": 33773,
-  "biotics</w>": 41371,
-  "bious</w>": 31845,
-  "bipartisan</w>": 32266,
-  "bipolar</w>": 37097,
-  "bique</w>": 27809,
-  "bir": 921,
-  "bir</w>": 16284,
-  "birch": 31569,
-  "birch</w>": 22907,
-  "bird": 6908,
-  "bird</w>": 3329,
-  "birdie</w>": 29612,
-  "birdies</w>": 45618,
-  "birding</w>": 15851,
-  "birdman</w>": 41915,
-  "birdphotography</w>": 47999,
-  "birds": 41951,
-  "birds</w>": 4337,
-  "birdwatching</w>": 33497,
-  "birk": 48289,
-  "birken": 40661,
-  "birmin": 37482,
-  "birmingham": 38580,
-  "birmingham</w>": 7720,
-  "birth": 1128,
-  "birth</w>": 5397,
-  "birthday": 7381,
-  "birthday</w>": 1166,
-  "birthdays</w>": 17954,
-  "birthplace</w>": 31429,
-  "biryani</w>": 46489,
-  "bis": 5064,
-  "bis</w>": 14461,
-  "biscu": 11532,
-  "biscuit</w>": 18731,
-  "biscuits</w>": 18248,
-  "bisexual</w>": 36829,
-  "bish": 33690,
-  "bish</w>": 31461,
-  "bishop": 20625,
-  "bishop</w>": 8024,
-  "bishops</w>": 31579,
-  "bison</w>": 19741,
-  "bistro</w>": 21770,
-  "bit": 3010,
-  "bit</w>": 2010,
-  "bitcoin": 30848,
-  "bitcoin</w>": 6366,
-  "bite</w>": 41613,
-  "biting</w>": 23016,
-  "bits</w>": 7747,
-  "bitt</w>": 39251,
-  "bius</w>": 45525,
-  "bix": 46579,
-  "biz": 8212,
-  "biz</w>": 5431,
-  "biza</w>": 47013,
-  "bizar": 14886,
-  "bizarre</w>": 16965,
-  "bizhour</w>": 39462,
-  "bizitalk</w>": 34929,
-  "bj": 4592,
-  "bj</w>": 18229,
-  "bjj</w>": 27437,
-  "bjor": 26525,
-  "bjp": 37264,
-  "bjp</w>": 6178,
-  "bk": 15099,
-  "bk</w>": 14083,
-  "bkk</w>": 36433,
-  "bl": 833,
-  "bl</w>": 9467,
-  "bla": 2205,
-  "bla</w>": 19630,
-  "blac": 21008,
-  "black": 2025,
-  "black</w>": 1449,
-  "blackand": 12809,
-  "blackandwhite": 23688,
-  "blackandwhite</w>": 19506,
-  "blackandwhitephotography</w>": 27544,
-  "blackberry</w>": 16470,
-  "blackbird</w>": 38526,
-  "blackburn</w>": 23789,
-  "blackfish</w>": 42193,
-  "blackfriday</w>": 16445,
-  "blackgirl": 43591,
-  "blackhawks</w>": 19203,
-  "blackhistory</w>": 46982,
-  "blackhistorymonth</w>": 20135,
-  "blacklist</w>": 30295,
-  "blacklivesmatter</w>": 23467,
-  "blackmail</w>": 47295,
-  "blackops</w>": 43519,
-  "blackout</w>": 21733,
-  "blackpanther</w>": 36592,
-  "blackpink</w>": 20339,
-  "blackpool</w>": 21031,
-  "blacks</w>": 16351,
-  "blackwell</w>": 42642,
-  "blad</w>": 36635,
-  "bladder</w>": 33593,
-  "blade</w>": 10264,
-  "blades</w>": 16893,
-  "blah</w>": 29212,
-  "blaine</w>": 32457,
-  "blair": 31824,
-  "blair</w>": 14749,
-  "blake": 20229,
-  "blake</w>": 9579,
-  "blame</w>": 10695,
-  "blamed</w>": 32906,
-  "blames</w>": 27841,
-  "blaming</w>": 29287,
-  "blan": 4609,
-  "blanc": 30936,
-  "blanc</w>": 13301,
-  "blanca</w>": 40670,
-  "blanchard</w>": 40177,
-  "blanche</w>": 34875,
-  "blanchett</w>": 49378,
-  "blanco</w>": 26801,
-  "bland": 44372,
-  "bland</w>": 30799,
-  "blank</w>": 15134,
-  "blanket</w>": 12878,
-  "blankets</w>": 24042,
-  "blanks</w>": 48599,
-  "blasio</w>": 35553,
-  "blasphe": 36622,
-  "blast": 46349,
-  "blast</w>": 5964,
-  "blasted</w>": 38976,
-  "blaster</w>": 36341,
-  "blasting</w>": 26178,
-  "blasts</w>": 23067,
-  "blat": 22048,
-  "blatant</w>": 41391,
-  "blatt</w>": 39138,
-  "blau": 45307,
-  "blaz": 43413,
-  "blaze</w>": 15497,
-  "blazer</w>": 17606,
-  "blazers</w>": 16984,
-  "blazing</w>": 25267,
-  "bldg</w>": 22981,
-  "ble": 1447,
-  "ble</w>": 1059,
-  "bleach</w>": 27034,
-  "bleak</w>": 40355,
-  "bled</w>": 12006,
-  "bleed": 23027,
-  "bleed</w>": 24791,
-  "bleedblue</w>": 39160,
-  "bleeding</w>": 20311,
-  "bleeds</w>": 47339,
-  "blen": 25651,
-  "blend</w>": 10780,
-  "blended</w>": 25813,
-  "blender</w>": 25066,
-  "blending</w>": 34307,
-  "blends</w>": 28572,
-  "bler": 31305,
-  "bler</w>": 11979,
-  "blers</w>": 26930,
-  "bles</w>": 5763,
-  "bless": 9640,
-  "bless</w>": 5387,
-  "blessed</w>": 4411,
-  "blessing</w>": 10729,
-  "blessings</w>": 11185,
-  "bleu</w>": 30114,
-  "blew</w>": 18176,
-  "bley</w>": 43176,
-  "bli": 1450,
-  "bli</w>": 28051,
-  "blin": 9678,
-  "blin</w>": 5406,
-  "blind": 17248,
-  "blind</w>": 8351,
-  "blinded</w>": 49149,
-  "blindness</w>": 38812,
-  "blinds</w>": 32449,
-  "bling": 39764,
-  "bling</w>": 7097,
-  "blink</w>": 18976,
-  "bliss": 28531,
-  "bliss</w>": 12893,
-  "blissful</w>": 42145,
-  "blit": 39327,
-  "blitz": 42151,
-  "blitz</w>": 17548,
-  "blizz": 13075,
-  "blizzard</w>": 16111,
-  "blk": 42950,
-  "blk</w>": 22872,
-  "blm</w>": 30957,
-  "bln</w>": 47348,
-  "blo": 1204,
-  "blo</w>": 25505,
-  "blob</w>": 49312,
-  "bloc</w>": 30961,
-  "block": 4638,
-  "block</w>": 4593,
-  "blockade</w>": 33489,
-  "blockbuster</w>": 19939,
-  "blockchain</w>": 6653,
-  "blocked</w>": 9106,
-  "blocker</w>": 44767,
-  "blocking</w>": 12652,
-  "blocks</w>": 10113,
-  "blog": 16376,
-  "blog</w>": 2589,
-  "blogg": 33282,
-  "blogged</w>": 41380,
-  "blogger": 21352,
-  "blogger</w>": 7806,
-  "bloggerrt</w>": 48898,
-  "bloggers</w>": 11627,
-  "blogging</w>": 18090,
-  "blogpost</w>": 41842,
-  "blogs</w>": 16682,
-  "bloke</w>": 24384,
-  "blom": 48996,
-  "blon": 7958,
-  "blond</w>": 32426,
-  "blonde</w>": 10711,
-  "blondes</w>": 45130,
-  "blondie</w>": 39236,
-  "bloo": 2373,
-  "blood": 9231,
-  "blood</w>": 3590,
-  "blooded</w>": 41946,
-  "bloodh": 48480,
-  "bloods</w>": 39539,
-  "bloody": 38568,
-  "bloody</w>": 9468,
-  "bloom": 7311,
-  "bloom</w>": 10257,
-  "bloomberg": 43109,
-  "bloomberg</w>": 21238,
-  "bloomfield</w>": 40342,
-  "blooming": 45175,
-  "blooming</w>": 19266,
-  "bloomington</w>": 34731,
-  "blooms</w>": 21439,
-  "bloss": 10017,
-  "blossom</w>": 14472,
-  "blossoms</w>": 21916,
-  "blot</w>": 41710,
-  "blou": 44506,
-  "blouse</w>": 23525,
-  "blow": 15230,
-  "blow</w>": 10211,
-  "blower</w>": 25832,
-  "blowing</w>": 12087,
-  "blown</w>": 11848,
-  "blowout</w>": 34857,
-  "blows</w>": 21063,
-  "blr</w>": 47250,
-  "bls</w>": 39458,
-  "blu": 1263,
-  "blu</w>": 10273,
-  "blue": 3829,
-  "blue</w>": 1746,
-  "bluebells</w>": 47150,
-  "blueberries</w>": 29551,
-  "blueberry</w>": 18251,
-  "bluebird</w>": 40747,
-  "bluec": 43194,
-  "bluef": 41174,
-  "bluegrass</w>": 26241,
-  "bluejays</w>": 18684,
-  "blueprint</w>": 30594,
-  "blues": 17566,
-  "blues</w>": 5159,
-  "blueslyrix</w>": 47068,
-  "bluet": 13469,
-  "bluetooth</w>": 14052,
-  "bluewave</w>": 40025,
-  "bluff</w>": 27232,
-  "bluffs</w>": 48844,
-  "blum</w>": 34818,
-  "blumen": 38714,
-  "blun": 34472,
-  "blunt</w>": 19305,
-  "blur": 12102,
-  "blur</w>": 27976,
-  "bluray</w>": 36818,
-  "blurred</w>": 38013,
-  "blurry</w>": 21977,
-  "blush</w>": 22889,
-  "blvd</w>": 12578,
-  "bly": 20930,
-  "bly</w>": 4426,
-  "bm": 4773,
-  "bm</w>": 15916,
-  "bma</w>": 42573,
-  "bmc</w>": 27807,
-  "bmi</w>": 40642,
-  "bmo</w>": 39083,
-  "bms</w>": 34074,
-  "bmw": 26637,
-  "bmw</w>": 7869,
-  "bmx</w>": 22535,
-  "bn": 10496,
-  "bn</w>": 7992,
-  "bnb</w>": 20010,
-  "bnha</w>": 49336,
-  "bnp</w>": 47910,
-  "bnw</w>": 35903,
-  "bo": 647,
-  "bo</w>": 2525,
-  "boa</w>": 14732,
-  "boar": 7837,
-  "boar</w>": 35473,
-  "board": 10419,
-  "board</w>": 1972,
-  "boarded</w>": 43052,
-  "boarder</w>": 37414,
-  "boardgame</w>": 47829,
-  "boardgames</w>": 32646,
-  "boarding</w>": 10086,
-  "boardroom</w>": 47937,
-  "boards</w>": 7963,
-  "boardwalk</w>": 29043,
-  "boast</w>": 44467,
-  "boasts</w>": 30309,
-  "boat": 12426,
-  "boat</w>": 4440,
-  "boath": 45461,
-  "boating</w>": 21951,
-  "boats</w>": 10080,
-  "boatsales</w>": 46244,
-  "bob": 8444,
-  "bob</w>": 4423,
-  "boba</w>": 39948,
-  "bobb": 16891,
-  "bobble</w>": 38796,
-  "bobblehead</w>": 33451,
-  "bobby": 17847,
-  "bobby</w>": 7816,
-  "bobc": 26153,
-  "bobcat</w>": 37896,
-  "bobcats</w>": 27568,
-  "bobo</w>": 38939,
-  "bobs</w>": 45533,
-  "boc": 27307,
-  "boc</w>": 39042,
-  "boca</w>": 26094,
-  "bock</w>": 24961,
-  "bod": 17904,
-  "bod</w>": 26340,
-  "boda</w>": 42030,
-  "bode": 28452,
-  "bode</w>": 40429,
-  "bodega</w>": 47350,
-  "bodied</w>": 36892,
-  "bodies</w>": 9799,
-  "bodily</w>": 49119,
-  "body": 7132,
-  "body</w>": 1774,
-  "bodybuilding</w>": 24538,
-  "bodyguard</w>": 35565,
-  "boe": 23476,
-  "boe</w>": 21773,
-  "boeh": 38002,
-  "boehner</w>": 44599,
-  "boeing": 48135,
-  "boeing</w>": 11857,
-  "boer": 44889,
-  "boer</w>": 40768,
-  "bog": 23426,
-  "bog</w>": 28318,
-  "bogo</w>": 35769,
-  "bogota</w>": 47059,
-  "bogus</w>": 42907,
-  "boh": 43238,
-  "bohe": 40541,
-  "bohemi": 21552,
-  "bohemian</w>": 25753,
-  "boho</w>": 25444,
-  "boi": 37129,
-  "boi</w>": 12673,
-  "boil</w>": 31332,
-  "boiled</w>": 23886,
-  "boiler": 28212,
-  "boiler</w>": 25615,
-  "boiling</w>": 32019,
-  "bois": 47742,
-  "bois</w>": 21640,
-  "boise</w>": 23304,
-  "bok": 26671,
-  "bok</w>": 15289,
-  "boko</w>": 30929,
-  "boks</w>": 40216,
-  "bol": 2860,
-  "bol</w>": 8413,
-  "bola</w>": 12840,
-  "bold": 26975,
-  "bold</w>": 8911,
-  "boldand": 48413,
-  "boldly</w>": 44778,
-  "boli": 12722,
-  "bolic</w>": 27343,
-  "bolivia</w>": 28628,
-  "bollah</w>": 36336,
-  "bolly": 25302,
-  "bollywood": 32448,
-  "bollywood</w>": 9604,
-  "bolo</w>": 40236,
-  "bolog": 22818,
-  "bologna</w>": 27513,
-  "bolster</w>": 47304,
-  "bolt</w>": 13131,
-  "bolton": 48757,
-  "bolton</w>": 16598,
-  "bolts</w>": 26028,
-  "bom": 3012,
-  "bom</w>": 19469,
-  "bomb": 18091,
-  "bomb</w>": 6331,
-  "bombar": 25544,
-  "bombardier</w>": 42700,
-  "bombay": 48602,
-  "bombay</w>": 23890,
-  "bombed</w>": 24542,
-  "bomber</w>": 15436,
-  "bombers</w>": 21786,
-  "bombing</w>": 14475,
-  "bombings</w>": 43236,
-  "bombs</w>": 14410,
-  "bombshell</w>": 36340,
-  "bon": 1871,
-  "bon</w>": 4216,
-  "bona</w>": 33342,
-  "bonanza</w>": 40304,
-  "bond": 37022,
-  "bond</w>": 6826,
-  "bonded</w>": 37390,
-  "bondi</w>": 40092,
-  "bonding</w>": 19609,
-  "bonds</w>": 15786,
-  "bone": 22502,
-  "bone</w>": 6195,
-  "bones</w>": 9476,
-  "bonfire</w>": 23151,
-  "bongo</w>": 47519,
-  "boni": 32269,
-  "boni</w>": 46356,
-  "bonita</w>": 42896,
-  "bonjour</w>": 33176,
-  "bonkers</w>": 39865,
-  "bonn</w>": 38969,
-  "bonnar": 47191,
-  "bonnaroo</w>": 48777,
-  "bonne</w>": 25844,
-  "bonnet</w>": 30636,
-  "bonnie</w>": 18555,
-  "bono</w>": 24476,
-  "bons</w>": 42883,
-  "bonsai</w>": 44129,
-  "bonus</w>": 8164,
-  "bonuses</w>": 35144,
-  "boo": 824,
-  "boo</w>": 7317,
-  "boogie</w>": 22639,
-  "book": 2828,
-  "book</w>": 1116,
-  "bookboost</w>": 31257,
-  "bookclub</w>": 34438,
-  "bookday</w>": 26327,
-  "booked</w>": 12584,
-  "booker</w>": 21302,
-  "bookfest</w>": 39381,
-  "booking</w>": 10145,
-  "bookings</w>": 18345,
-  "booklet</w>": 27405,
-  "bookmark</w>": 33596,
-  "bookof": 45629,
-  "bookreview</w>": 27362,
-  "books": 44382,
-  "books</w>": 2161,
-  "bookshelf</w>": 34821,
-  "bookshop</w>": 24705,
-  "bookstore</w>": 17999,
-  "bookstores</w>": 46416,
-  "bookworm</w>": 20743,
-  "boom": 9609,
-  "boom</w>": 7121,
-  "boomer": 33819,
-  "boomer</w>": 31766,
-  "boomers</w>": 37988,
-  "booming</w>": 33487,
-  "boon": 24979,
-  "boon</w>": 35821,
-  "boone</w>": 23453,
-  "boop</w>": 45047,
-  "boost": 44639,
-  "boost</w>": 6260,
-  "boosted</w>": 37631,
-  "booster</w>": 20877,
-  "boosters</w>": 46859,
-  "boosting</w>": 28480,
-  "boosts</w>": 29247,
-  "boot": 10843,
-  "boot</w>": 8087,
-  "bootcamp</w>": 22051,
-  "booted</w>": 42564,
-  "booth": 47895,
-  "booth</w>": 3971,
-  "booths</w>": 32653,
-  "booties</w>": 46188,
-  "bootleg</w>": 38139,
-  "boots</w>": 7319,
-  "booze</w>": 24341,
-  "bop</w>": 19720,
-  "bor": 1141,
-  "bor</w>": 15093,
-  "bora</w>": 24736,
-  "bord</w>": 36891,
-  "bordeaux</w>": 22009,
-  "border": 16304,
-  "border</w>": 6177,
-  "borderlands</w>": 38676,
-  "borders</w>": 13900,
-  "bore": 14084,
-  "bore</w>": 24638,
-  "bored</w>": 8933,
-  "boredom</w>": 31460,
-  "boretum</w>": 38902,
-  "borg</w>": 14770,
-  "borgh": 17180,
-  "boring</w>": 12519,
-  "boris": 31212,
-  "boris</w>": 15704,
-  "borisjohnson</w>": 44481,
-  "born": 17695,
-  "born</w>": 2683,
-  "borne": 42910,
-  "borne</w>": 9328,
-  "borneo</w>": 33332,
-  "bornon": 41811,
-  "bornonthisday</w>": 42757,
-  "boro": 26796,
-  "boro</w>": 7974,
-  "borough": 22761,
-  "borough</w>": 6203,
-  "borrow</w>": 22293,
-  "borrowed</w>": 28224,
-  "borrowing</w>": 41045,
-  "borussia</w>": 36764,
-  "bos": 14885,
-  "bos</w>": 9644,
-  "bosa</w>": 46946,
-  "bosch": 42009,
-  "bosch</w>": 19466,
-  "bosco</w>": 36960,
-  "bose</w>": 23142,
-  "bosh</w>": 42244,
-  "bosni": 42924,
-  "bosnia</w>": 31396,
-  "boss": 17935,
-  "boss</w>": 4206,
-  "bosses</w>": 23906,
-  "boston": 11540,
-  "boston</w>": 4399,
-  "bostonmarathon</w>": 44533,
-  "bot": 4136,
-  "bot</w>": 6947,
-  "botan": 12554,
-  "botanic</w>": 32560,
-  "botanical</w>": 21026,
-  "botany</w>": 22612,
-  "botd</w>": 34451,
-  "both": 36575,
-  "both</w>": 2212,
-  "bother</w>": 21125,
-  "bothered</w>": 27997,
-  "botox</w>": 43449,
-  "bots</w>": 13721,
-  "botswana</w>": 27584,
-  "bott": 3520,
-  "bott</w>": 37225,
-  "bottle": 37306,
-  "bottle</w>": 5392,
-  "bottled</w>": 29331,
-  "bottlen": 46439,
-  "bottles</w>": 9754,
-  "bottling</w>": 42006,
-  "bottom": 32314,
-  "bottom</w>": 5931,
-  "bottoms</w>": 31524,
-  "bou": 3728,
-  "bou</w>": 23165,
-  "bouchard</w>": 47930,
-  "boudo": 48827,
-  "bought</w>": 4142,
-  "boul": 24830,
-  "boulder</w>": 18260,
-  "boule": 17652,
-  "boulevard</w>": 19504,
-  "boun": 5993,
-  "bounce</w>": 14316,
-  "bouncing</w>": 32060,
-  "bouncy</w>": 43415,
-  "bound": 15140,
-  "bound</w>": 4567,
-  "boundaries</w>": 18690,
-  "boundary</w>": 21344,
-  "bounds</w>": 37469,
-  "bounty</w>": 21142,
-  "bouquet</w>": 20961,
-  "bour": 2934,
-  "bour</w>": 35486,
-  "bourbon": 48118,
-  "bourbon</w>": 14652,
-  "bourdain</w>": 48095,
-  "bourg</w>": 20690,
-  "bourgeo": 45672,
-  "bourn</w>": 39143,
-  "bourne": 13789,
-  "bourne</w>": 5192,
-  "bournemouth</w>": 20911,
-  "bout": 19982,
-  "bout</w>": 8123,
-  "bouti": 10926,
-  "boutique</w>": 12179,
-  "bow": 2297,
-  "bow</w>": 4040,
-  "bowden</w>": 48538,
-  "bowed</w>": 49130,
-  "bowel</w>": 36880,
-  "bowen</w>": 25368,
-  "bower</w>": 40414,
-  "bowers</w>": 42238,
-  "bowie</w>": 13036,
-  "bowing</w>": 46398,
-  "bowl": 26719,
-  "bowl</w>": 3814,
-  "bowled</w>": 39987,
-  "bowler</w>": 25528,
-  "bowlers</w>": 42632,
-  "bowles</w>": 41611,
-  "bowling</w>": 10390,
-  "bowls</w>": 17787,
-  "bowman</w>": 22052,
-  "bows</w>": 17000,
-  "bowser</w>": 38234,
-  "bowski</w>": 48311,
-  "box": 2774,
-  "box</w>": 2063,
-  "boxed</w>": 24190,
-  "boxer": 40394,
-  "boxer</w>": 15363,
-  "boxers</w>": 31019,
-  "boxes</w>": 8350,
-  "boxing": 33669,
-  "boxing</w>": 5554,
-  "boy": 2927,
-  "boy</w>": 1876,
-  "boyband</w>": 31568,
-  "boyce</w>": 44480,
-  "boycot": 46208,
-  "boycott": 31615,
-  "boycott</w>": 19559,
-  "boyd</w>": 18295,
-  "boyfriend</w>": 7328,
-  "boyfriends</w>": 36541,
-  "boyle</w>": 22802,
-  "boys": 25223,
-  "boys</w>": 2034,
-  "boyz</w>": 16152,
-  "bp": 23410,
-  "bp</w>": 11558,
-  "bpa</w>": 43855,
-  "bpd</w>": 48587,
-  "bpl</w>": 28901,
-  "bpm</w>": 40338,
-  "bps</w>": 37794,
-  "br": 711,
-  "br</w>": 7532,
-  "bra": 1195,
-  "bra</w>": 5860,
-  "brac": 6663,
-  "brace": 8376,
-  "brace</w>": 9183,
-  "bracelet</w>": 8969,
-  "bracelets</w>": 20027,
-  "braces</w>": 19249,
-  "brack": 25676,
-  "bracket</w>": 14780,
-  "brackets</w>": 36183,
-  "brad": 4848,
-  "brad</w>": 9405,
-  "bradbury</w>": 45097,
-  "braden</w>": 46842,
-  "bradford</w>": 15062,
-  "bradley": 31905,
-  "bradley</w>": 10952,
-  "brador</w>": 24062,
-  "bradshaw</w>": 37556,
-  "brady": 42494,
-  "brady</w>": 11117,
-  "brae": 42874,
-  "brae</w>": 40040,
-  "brag</w>": 30110,
-  "bragg</w>": 38545,
-  "bragging</w>": 38199,
-  "brah": 20276,
-  "brahms</w>": 45114,
-  "brai": 25048,
-  "braid</w>": 31067,
-  "braided</w>": 39997,
-  "braids</w>": 34221,
-  "brain": 9454,
-  "brain</w>": 4812,
-  "brains</w>": 17129,
-  "brainstorming</w>": 36607,
-  "braised</w>": 28363,
-  "brake</w>": 14937,
-  "brakes</w>": 23456,
-  "bral</w>": 31309,
-  "bram": 14815,
-  "bram</w>": 39456,
-  "brampton</w>": 35124,
-  "bran": 3684,
-  "bran</w>": 28348,
-  "brance": 36072,
-  "brance</w>": 15413,
-  "branch</w>": 7998,
-  "branches</w>": 15843,
-  "brand": 3910,
-  "brand</w>": 2896,
-  "branded</w>": 18097,
-  "brandi</w>": 41003,
-  "branding</w>": 10841,
-  "brando</w>": 41892,
-  "brandon": 20423,
-  "brandon</w>": 9166,
-  "brands</w>": 8681,
-  "brandt</w>": 22552,
-  "brandy</w>": 26232,
-  "brane</w>": 32340,
-  "branson</w>": 28280,
-  "brant": 28951,
-  "brant</w>": 47592,
-  "braries</w>": 46377,
-  "brary</w>": 24520,
-  "bras</w>": 22611,
-  "brasil</w>": 18991,
-  "brass": 24348,
-  "brass</w>": 11655,
-  "brat": 26717,
-  "brat</w>": 26631,
-  "brate</w>": 41864,
-  "braun": 39129,
-  "braun</w>": 29309,
-  "brave": 25461,
-  "brave</w>": 7769,
-  "braved</w>": 47663,
-  "bravely</w>": 42303,
-  "bravery</w>": 25831,
-  "braves</w>": 14422,
-  "braving</w>": 43258,
-  "bravo": 38613,
-  "bravo</w>": 13006,
-  "braw": 37871,
-  "brawl</w>": 26066,
-  "braxton</w>": 37451,
-  "bray": 26256,
-  "bray</w>": 22993,
-  "braz": 4625,
-  "brazil": 47459,
-  "brazil</w>": 6305,
-  "brazili": 45697,
-  "brazilian</w>": 12111,
-  "brb</w>": 25316,
-  "brc</w>": 40393,
-  "bre": 887,
-  "bre</w>": 7782,
-  "brea": 7318,
-  "brea</w>": 46538,
-  "breach</w>": 21363,
-  "breaches</w>": 45173,
-  "bread": 18886,
-  "bread</w>": 5066,
-  "breads</w>": 43064,
-  "break": 2206,
-  "break</w>": 2568,
-  "breakable</w>": 30691,
-  "breakaway</w>": 42732,
-  "breakdown</w>": 14519,
-  "breaker</w>": 14814,
-  "breakers</w>": 22270,
-  "breakfa": 45931,
-  "breakfast": 30210,
-  "breakfast</w>": 3290,
-  "breaking": 14698,
-  "breaking</w>": 2755,
-  "breakingbad</w>": 38032,
-  "breakingnews</w>": 23837,
-  "breakout</w>": 16752,
-  "breaks</w>": 7263,
-  "breakthrough</w>": 18802,
-  "breakup</w>": 38931,
-  "breast": 12930,
-  "breast</w>": 9475,
-  "breastcancer": 40813,
-  "breastcancer</w>": 30065,
-  "breastfeeding</w>": 29033,
-  "breasts</w>": 37637,
-  "breath": 9508,
-  "breath</w>": 9576,
-  "breathe</w>": 11364,
-  "breathing</w>": 14959,
-  "breathtaking</w>": 14709,
-  "brecht</w>": 34622,
-  "breck": 44598,
-  "bred": 46929,
-  "bred</w>": 16008,
-  "bree": 7892,
-  "bree</w>": 37138,
-  "breed": 28030,
-  "breed</w>": 13791,
-  "breeders</w>": 37472,
-  "breeding</w>": 16544,
-  "breeds</w>": 29021,
-  "breen</w>": 48013,
-  "brees</w>": 46721,
-  "breeze</w>": 13125,
-  "breezy</w>": 21451,
-  "breit": 23864,
-  "breitbart</w>": 37926,
-  "brek": 35494,
-  "bremen</w>": 39861,
-  "bren": 5209,
-  "brenda</w>": 23786,
-  "brendan": 35134,
-  "brendan</w>": 15414,
-  "brendon</w>": 36756,
-  "brennan</w>": 22372,
-  "brenner</w>": 42941,
-  "brent": 31439,
-  "brent</w>": 16355,
-  "brentwood</w>": 33108,
-  "brero</w>": 47781,
-  "bres</w>": 32561,
-  "bret": 38020,
-  "bret</w>": 32548,
-  "brethren</w>": 43134,
-  "breton</w>": 32290,
-  "brett": 22591,
-  "brett</w>": 12394,
-  "brev</w>": 42882,
-  "brevi": 39475,
-  "brew": 5048,
-  "brew</w>": 7253,
-  "brewco</w>": 33582,
-  "brewed</w>": 23238,
-  "brewer</w>": 20756,
-  "breweries</w>": 35277,
-  "brewers</w>": 17618,
-  "brewery</w>": 8850,
-  "brewing</w>": 8275,
-  "brewingco</w>": 45155,
-  "brews</w>": 21663,
-  "brewster</w>": 40274,
-  "brex": 22726,
-  "brexit": 27666,
-  "brexit</w>": 5801,
-  "brgy</w>": 35983,
-  "bri": 1036,
-  "bri</w>": 18636,
-  "bria</w>": 35890,
-  "brian": 9824,
-  "brian</w>": 4989,
-  "brianna</w>": 32308,
-  "briar</w>": 46119,
-  "bribe</w>": 40042,
-  "bribery</w>": 41792,
-  "bric": 27055,
-  "brice</w>": 40190,
-  "brick": 13937,
-  "brick</w>": 9518,
-  "bricks</w>": 21029,
-  "brics</w>": 48196,
-  "brid": 16995,
-  "bridal": 36875,
-  "bridal</w>": 14284,
-  "bride": 18342,
-  "bride</w>": 8964,
-  "brides</w>": 18067,
-  "bridesma": 28356,
-  "bridesmaid</w>": 43399,
-  "bridesmaids</w>": 47754,
-  "bridg": 20623,
-  "bridge": 8647,
-  "bridge</w>": 2465,
-  "bridgeport</w>": 45201,
-  "bridges</w>": 11811,
-  "bridget</w>": 27073,
-  "bridgewater</w>": 38732,
-  "bridging</w>": 38109,
-  "brie</w>": 26622,
-  "brief": 9435,
-  "brief</w>": 8954,
-  "briefed</w>": 47326,
-  "briefing</w>": 12991,
-  "briefly</w>": 26980,
-  "briefs</w>": 29557,
-  "brien</w>": 13504,
-  "brier</w>": 43995,
-  "brig": 11081,
-  "briga": 46448,
-  "brigade</w>": 16032,
-  "briggs</w>": 28108,
-  "brigh": 6710,
-  "bright": 10383,
-  "bright</w>": 4852,
-  "brighten</w>": 18208,
-  "brightening</w>": 43929,
-  "brighter</w>": 18507,
-  "brightest</w>": 26159,
-  "brightly</w>": 36298,
-  "brightness</w>": 42280,
-  "brighton": 28416,
-  "brighton</w>": 9470,
-  "brigitte</w>": 44421,
-  "brill": 27342,
-  "brill</w>": 28601,
-  "brilli": 3821,
-  "brilliance</w>": 28146,
-  "brilliant</w>": 4106,
-  "brilliantly</w>": 26803,
-  "brin": 25620,
-  "bring": 11596,
-  "bring</w>": 2430,
-  "bringback": 28969,
-  "bringbackour": 45403,
-  "bringing</w>": 4777,
-  "brings</w>": 5138,
-  "brink": 39296,
-  "brink</w>": 28796,
-  "brioche</w>": 45818,
-  "bris": 9385,
-  "bris</w>": 15783,
-  "brisban": 30431,
-  "brisbane": 42932,
-  "brisbane</w>": 12407,
-  "brisk</w>": 43646,
-  "brisket</w>": 31920,
-  "bristol": 18159,
-  "bristol</w>": 8010,
-  "brit": 2318,
-  "brit</w>": 20066,
-  "britain": 40802,
-  "britain</w>": 6272,
-  "britanni": 31373,
-  "britannia</w>": 36188,
-  "brite</w>": 33827,
-  "briti": 8155,
-  "british": 8651,
-  "british</w>": 3504,
-  "britishmuseum</w>": 41858,
-  "britney": 37192,
-  "britney</w>": 21853,
-  "britneyspears</w>": 42990,
-  "brits</w>": 21832,
-  "britt": 10811,
-  "britt</w>": 25976,
-  "brittany": 38187,
-  "brittany</w>": 18818,
-  "britton</w>": 37422,
-  "brium</w>": 46079,
-  "brixton</w>": 30056,
-  "bro": 927,
-  "bro</w>": 4410,
-  "broad": 3491,
-  "broad</w>": 12623,
-  "broadband</w>": 21050,
-  "broadcast</w>": 8967,
-  "broadcaster</w>": 29005,
-  "broadcasting</w>": 14403,
-  "broadcasts</w>": 46742,
-  "broader</w>": 36029,
-  "broadway": 34599,
-  "broadway</w>": 9092,
-  "broc": 15587,
-  "broccoli</w>": 19094,
-  "broch": 21419,
-  "brochure</w>": 25275,
-  "brock": 14841,
-  "brock</w>": 16745,
-  "brodie</w>": 42150,
-  "brody</w>": 29608,
-  "broke": 42165,
-  "broke</w>": 6509,
-  "broken": 26126,
-  "broken</w>": 5107,
-  "broker": 34032,
-  "broker</w>": 20449,
-  "brokerage</w>": 41327,
-  "brokers</w>": 28271,
-  "brom": 18972,
-  "brom</w>": 33296,
-  "bromance</w>": 35353,
-  "bromley</w>": 35715,
-  "bron": 4011,
-  "bron</w>": 10243,
-  "bronco": 43488,
-  "bronco</w>": 34370,
-  "broncos</w>": 12516,
-  "bronson</w>": 37042,
-  "bronte</w>": 48936,
-  "bronx": 48310,
-  "bronx</w>": 17183,
-  "brony</w>": 21084,
-  "bronze</w>": 8459,
-  "broo": 5204,
-  "brooch</w>": 21207,
-  "brook": 4782,
-  "brook</w>": 7322,
-  "brooke": 28576,
-  "brooke</w>": 12549,
-  "brookes</w>": 39707,
-  "brooklyn": 23253,
-  "brooklyn</w>": 6983,
-  "brooks": 42779,
-  "brooks</w>": 9991,
-  "broom": 32046,
-  "broom</w>": 28008,
-  "broome</w>": 49335,
-  "bros</w>": 7776,
-  "broth</w>": 29994,
-  "brotha</w>": 33974,
-  "brother": 12697,
-  "brother</w>": 3157,
-  "brotherhood</w>": 19059,
-  "brothers</w>": 4548,
-  "brou": 27874,
-  "brough</w>": 21033,
-  "brought</w>": 4222,
-  "brov": 42881,
-  "brow": 6547,
-  "brow</w>": 15895,
-  "broward</w>": 34719,
-  "brown": 6315,
-  "brown</w>": 2866,
-  "browne</w>": 28440,
-  "brownie</w>": 23045,
-  "brownies</w>": 22312,
-  "browning</w>": 32241,
-  "browns</w>": 14051,
-  "brows</w>": 14998,
-  "browse</w>": 19060,
-  "browser</w>": 19768,
-  "browsing</w>": 29318,
-  "brox</w>": 43539,
-  "brs</w>": 47485,
-  "brt</w>": 46936,
-  "bru": 1698,
-  "bru</w>": 31028,
-  "bruce": 21223,
-  "bruce</w>": 7085,
-  "bruh</w>": 17575,
-  "bruins</w>": 14736,
-  "bruise</w>": 48048,
-  "bruised</w>": 46502,
-  "brum": 23862,
-  "brum</w>": 28078,
-  "brun": 6870,
-  "brunch</w>": 9113,
-  "brune": 29057,
-  "brunei</w>": 41898,
-  "brunette</w>": 35528,
-  "bruno</w>": 14568,
-  "brunomars</w>": 41156,
-  "brunswick</w>": 24012,
-  "brush": 27969,
-  "brush</w>": 8594,
-  "brushed</w>": 30298,
-  "brushes</w>": 21550,
-  "brushing</w>": 35072,
-  "brussels</w>": 11020,
-  "brut</w>": 39499,
-  "brutal": 42144,
-  "brutal</w>": 14556,
-  "brutality</w>": 31348,
-  "brutally</w>": 28132,
-  "brute</w>": 47552,
-  "brux": 49093,
-  "bry": 6587,
-  "bry</w>": 28228,
-  "bryan": 16134,
-  "bryan</w>": 10412,
-  "bryant</w>": 12256,
-  "bryce</w>": 19895,
-  "bryn": 36569,
-  "bryn</w>": 42877,
-  "bryson</w>": 38990,
-  "bs": 11783,
-  "bs</w>": 1329,
-  "bsa</w>": 46619,
-  "bsb</w>": 23070,
-  "bsbi": 41728,
-  "bsbibotany</w>": 42086,
-  "bsc</w>": 32031,
-  "bsd</w>": 41848,
-  "bse</w>": 46341,
-  "bsf</w>": 48314,
-  "bsgo</w>": 48474,
-  "bsp</w>": 47977,
-  "bst</w>": 19698,
-  "bsu</w>": 46385,
-  "bt": 3317,
-  "bt</w>": 4205,
-  "btc</w>": 10315,
-  "btcc</w>": 30759,
-  "btn</w>": 44681,
-  "bto</w>": 35516,
-  "btob</w>": 29379,
-  "btr</w>": 39767,
-  "bts": 15154,
-  "bts</w>": 4007,
-  "btsarmy</w>": 30302,
-  "btsbbmas</w>": 35297,
-  "btsx": 44971,
-  "btv</w>": 38541,
-  "btw</w>": 9520,
-  "btwn</w>": 28284,
-  "bu": 609,
-  "bu</w>": 5831,
-  "bub": 27704,
-  "bub</w>": 33158,
-  "bubb": 9739,
-  "bubba</w>": 28149,
-  "bubble": 28687,
-  "bubble</w>": 10799,
-  "bubblegum</w>": 48078,
-  "bubbles</w>": 17648,
-  "bubbly</w>": 31034,
-  "buc": 8207,
-  "buccane": 32830,
-  "buccaneers</w>": 38058,
-  "buch": 22623,
-  "bucha</w>": 43582,
-  "buchan": 27237,
-  "buchanan</w>": 28975,
-  "bucharest</w>": 37013,
-  "buck": 6061,
-  "buck</w>": 11433,
-  "bucket": 22596,
-  "bucket</w>": 10498,
-  "bucketlist</w>": 30778,
-  "buckets</w>": 27168,
-  "buckeye</w>": 34549,
-  "buckeyes</w>": 30741,
-  "buckingham</w>": 28736,
-  "buckle</w>": 21948,
-  "buckley</w>": 25905,
-  "bucks</w>": 6103,
-  "bucky</w>": 35916,
-  "bucs</w>": 20011,
-  "bud": 2942,
-  "bud</w>": 10737,
-  "buda": 18520,
-  "buda</w>": 49012,
-  "budapest</w>": 19202,
-  "budd": 7296,
-  "buddha</w>": 13981,
-  "buddhism</w>": 23744,
-  "buddhist</w>": 18697,
-  "buddies</w>": 14543,
-  "budding</w>": 31992,
-  "buddy": 40948,
-  "buddy</w>": 6557,
-  "budge": 32005,
-  "budget": 46758,
-  "budget</w>": 5639,
-  "budgeting</w>": 43789,
-  "budgets</w>": 36419,
-  "buds</w>": 14665,
-  "budweiser</w>": 40900,
-  "buen": 15640,
-  "buena</w>": 30876,
-  "buenas</w>": 48529,
-  "bueno</w>": 46202,
-  "buenos</w>": 26055,
-  "buf": 44417,
-  "buff": 5456,
-  "buff</w>": 21416,
-  "buffal": 25836,
-  "buffalo": 31231,
-  "buffalo</w>": 8054,
-  "buffalob": 38831,
-  "buffalobills</w>": 44352,
-  "buffe": 13724,
-  "buffer</w>": 33050,
-  "buffet</w>": 17829,
-  "buffett</w>": 34081,
-  "buffs</w>": 28906,
-  "buffy</w>": 33356,
-  "bug": 14453,
-  "bug</w>": 8162,
-  "bugatti</w>": 35451,
-  "buggy</w>": 28963,
-  "bugs</w>": 13850,
-  "buh</w>": 31406,
-  "buhari</w>": 14661,
-  "buick</w>": 22000,
-  "buil": 1354,
-  "build": 22739,
-  "build</w>": 3289,
-  "builder</w>": 14474,
-  "builders</w>": 17694,
-  "building": 21206,
-  "building</w>": 2307,
-  "buildings</w>": 8866,
-  "builds</w>": 16449,
-  "buildthe": 41497,
-  "built": 45824,
-  "built</w>": 3874,
-  "buk": 28084,
-  "buk</w>": 24317,
-  "buka</w>": 47778,
-  "bukit</w>": 39888,
-  "bul": 2572,
-  "bul</w>": 10200,
-  "bula</w>": 18726,
-  "bulaga</w>": 41575,
-  "bular</w>": 32187,
-  "bulb</w>": 22373,
-  "bulbs</w>": 24808,
-  "bulgar": 15424,
-  "bulgaria</w>": 20295,
-  "bulgarian</w>": 38693,
-  "bulge</w>": 47603,
-  "bulk</w>": 19643,
-  "bull": 4537,
-  "bull</w>": 6029,
-  "bulldo": 37675,
-  "bulldog": 34828,
-  "bulldog</w>": 15611,
-  "bulldogs</w>": 13916,
-  "bullet": 14340,
-  "bullet</w>": 12465,
-  "bulletin</w>": 19638,
-  "bulletproof</w>": 43212,
-  "bullets</w>": 22117,
-  "bullied</w>": 34689,
-  "bullies</w>": 39050,
-  "bullion</w>": 49114,
-  "bullish</w>": 22142,
-  "bullock</w>": 33198,
-  "bullpen</w>": 38081,
-  "bulls</w>": 10313,
-  "bully": 43111,
-  "bully</w>": 20190,
-  "bullying</w>": 13548,
-  "bum": 27683,
-  "bum</w>": 14226,
-  "bumble": 25585,
-  "bumble</w>": 39303,
-  "bumblebee</w>": 36911,
-  "bummed</w>": 48456,
-  "bump": 9783,
-  "bump</w>": 15877,
-  "bumped</w>": 22495,
-  "bumper</w>": 17881,
-  "bumping</w>": 40196,
-  "bumps</w>": 21115,
-  "bun": 2591,
-  "bun</w>": 13665,
-  "bunch</w>": 7796,
-  "bund</w>": 41905,
-  "bunde": 18841,
-  "bundesliga</w>": 21582,
-  "bundle</w>": 11793,
-  "bundled</w>": 47228,
-  "bundles</w>": 29834,
-  "bundy</w>": 37332,
-  "bung</w>": 44748,
-  "bungal": 29549,
-  "bungalow</w>": 33696,
-  "bunk</w>": 41236,
-  "bunker</w>": 23615,
-  "bunnies</w>": 28998,
-  "bunny": 34198,
-  "bunny</w>": 9258,
-  "buns</w>": 22235,
-  "bunting</w>": 30695,
-  "buon": 31350,
-  "buon</w>": 48498,
-  "bur": 1039,
-  "bur</w>": 17362,
-  "burbank</w>": 34862,
-  "burberry</w>": 30412,
-  "burch</w>": 44588,
-  "burden</w>": 18687,
-  "bure": 11902,
-  "bureau": 32098,
-  "bureau</w>": 15400,
-  "burg": 19505,
-  "burg</w>": 3499,
-  "burge": 20522,
-  "burger": 22356,
-  "burger</w>": 6548,
-  "burgers</w>": 13007,
-  "burgess</w>": 26211,
-  "burgh": 18141,
-  "burgh</w>": 4965,
-  "burgl": 25554,
-  "burglar</w>": 43365,
-  "burglary</w>": 32573,
-  "burgring</w>": 40823,
-  "burgundy</w>": 23650,
-  "buri": 46348,
-  "buri</w>": 42614,
-  "burial</w>": 22012,
-  "buried</w>": 14233,
-  "burk": 48822,
-  "burke</w>": 15340,
-  "burle": 27891,
-  "burlesque</w>": 33732,
-  "burlington</w>": 23370,
-  "burma</w>": 30305,
-  "burmese</w>": 47906,
-  "burn": 7934,
-  "burn</w>": 4285,
-  "burnaby</w>": 47541,
-  "burne</w>": 27246,
-  "burned</w>": 15022,
-  "burner</w>": 23243,
-  "burnett</w>": 28558,
-  "burnham</w>": 36111,
-  "burning": 46107,
-  "burning</w>": 8405,
-  "burnley</w>": 24653,
-  "burnout</w>": 36078,
-  "burns</w>": 10234,
-  "burnt</w>": 15185,
-  "burr</w>": 30879,
-  "burrell</w>": 49045,
-  "burrito</w>": 23473,
-  "burritos</w>": 47245,
-  "burroughs</w>": 41337,
-  "burrows</w>": 44846,
-  "burst</w>": 13005,
-  "bursting</w>": 32566,
-  "bursts</w>": 37026,
-  "burt</w>": 27162,
-  "burton": 42354,
-  "burton</w>": 12704,
-  "burundi</w>": 33595,
-  "bury": 12276,
-  "bury</w>": 3899,
-  "burys</w>": 32362,
-  "bus": 1319,
-  "bus</w>": 2840,
-  "busan</w>": 40172,
-  "busc": 35000,
-  "busch</w>": 20475,
-  "buses</w>": 12879,
-  "bush": 11191,
-  "bush</w>": 6867,
-  "bushes</w>": 37578,
-  "busiest</w>": 32764,
-  "busine": 4598,
-  "busines": 25364,
-  "business": 8346,
-  "business</w>": 1716,
-  "businesses</w>": 7287,
-  "businessman</w>": 25635,
-  "buss</w>": 47764,
-  "bust": 31299,
-  "bust</w>": 9959,
-  "busted</w>": 18643,
-  "buster": 37219,
-  "buster</w>": 12094,
-  "busters</w>": 16362,
-  "busting</w>": 29622,
-  "busy": 39332,
-  "busy</w>": 4354,
-  "but": 2201,
-  "but</w>": 767,
-  "butch</w>": 35102,
-  "butcher</w>": 18732,
-  "butchers</w>": 42334,
-  "bute</w>": 39240,
-  "butes</w>": 14630,
-  "butler": 35867,
-  "butler</w>": 10702,
-  "butt": 12500,
-  "butt</w>": 31523,
-  "butte</w>": 31678,
-  "butter": 5427,
-  "butter</w>": 6952,
-  "butterflies</w>": 16232,
-  "butterfly</w>": 9738,
-  "buttermilk</w>": 40180,
-  "butternut</w>": 36867,
-  "buttery</w>": 45535,
-  "button": 45480,
-  "button</w>": 8007,
-  "buttons</w>": 16188,
-  "butts</w>": 25309,
-  "buu": 42313,
-  "buuren</w>": 47752,
-  "buxton</w>": 41370,
-  "buy": 11632,
-  "buy</w>": 2131,
-  "buyer</w>": 14682,
-  "buyers</w>": 14663,
-  "buying</w>": 6566,
-  "buys</w>": 15560,
-  "buzz": 7866,
-  "buzz</w>": 8706,
-  "buzzard</w>": 47434,
-  "buzzer</w>": 38064,
-  "buzzfeed</w>": 26613,
-  "buzzing</w>": 18511,
-  "bv": 18958,
-  "bv</w>": 35861,
-  "bvb</w>": 22454,
-  "bw": 17672,
-  "bw</w>": 15120,
-  "bway</w>": 26652,
-  "bwfc</w>": 40918,
-  "bwo": 45902,
-  "bx</w>": 33633,
-  "by": 1713,
-  "by</w>": 638,
-  "bye": 20076,
-  "bye</w>": 4460,
-  "byes</w>": 47958,
-  "byl</w>": 34994,
-  "byn": 46917,
-  "byn</w>": 11890,
-  "byo": 28039,
-  "bypass</w>": 26530,
-  "byr": 15534,
-  "byrd</w>": 30369,
-  "byrne</w>": 19676,
-  "byron": 43504,
-  "byron</w>": 19775,
-  "bys</w>": 26740,
-  "bystand": 46138,
-  "byte</w>": 42798,
-  "bytes</w>": 39538,
-  "bythe": 36621,
-  "byu": 41072,
-  "byu</w>": 23770,
-  "byz": 35406,
-  "byzantine</w>": 44081,
-  "bz</w>": 13631,
-  "bé": 40365,
-  "bü": 38706,
-  "c": 66,
-  "c</w>": 322,
-  "ca": 772,
-  "ca</w>": 1684,
-  "caa</w>": 19316,
-  "cab": 3033,
-  "cab</w>": 11912,
-  "cabaret</w>": 26263,
-  "cabbage</w>": 18407,
-  "cabe</w>": 32731,
-  "cabello</w>": 34371,
-  "caber": 29062,
-  "cabernet</w>": 33730,
-  "cabin</w>": 14178,
-  "cabine": 23354,
-  "cabinet</w>": 9937,
-  "cabinets</w>": 33083,
-  "cabins</w>": 48455,
-  "cable</w>": 7925,
-  "cables</w>": 22408,
-  "cabo": 37318,
-  "cabo</w>": 28370,
-  "cabrera</w>": 42338,
-  "cabs</w>": 42048,
-  "cac": 8298,
-  "cac</w>": 23872,
-  "cacao</w>": 38022,
-  "cache</w>": 28993,
-  "caching</w>": 40655,
-  "cactus</w>": 19794,
-  "cad": 6297,
-  "cad</w>": 20166,
-  "caday</w>": 34187,
-  "cadbury</w>": 44698,
-  "caddy</w>": 41521,
-  "cade": 10497,
-  "cade</w>": 17306,
-  "cadet</w>": 22764,
-  "cadets</w>": 19160,
-  "cadillac</w>": 18156,
-  "cae</w>": 49264,
-  "caer": 28298,
-  "caes": 15740,
-  "caesar</w>": 21642,
-  "caesars</w>": 42162,
-  "caf": 3471,
-  "caf</w>": 20867,
-  "cafc</w>": 30748,
-  "cafe": 15201,
-  "cafe</w>": 4979,
-  "cafes</w>": 40166,
-  "cafeteria</w>": 32817,
-  "caffe": 18258,
-  "caffe</w>": 45416,
-  "caffeine</w>": 22487,
-  "café</w>": 15304,
-  "cag": 15714,
-  "cage</w>": 11838,
-  "cages</w>": 37939,
-  "cah</w>": 40519,
-  "cahill</w>": 33185,
-  "cai": 38971,
-  "cai</w>": 36116,
-  "cain</w>": 13747,
-  "caine</w>": 16799,
-  "cair": 15804,
-  "cair</w>": 46659,
-  "cairn": 31264,
-  "cairn</w>": 42467,
-  "cairngor": 44067,
-  "cairns</w>": 32941,
-  "cairo</w>": 19615,
-  "cait": 14116,
-  "caitlin": 47768,
-  "caitlin</w>": 26809,
-  "caitlyn</w>": 35763,
-  "cajun": 43425,
-  "cajun</w>": 33044,
-  "cak</w>": 42986,
-  "cake": 15295,
-  "cake</w>": 2972,
-  "cakeday</w>": 46207,
-  "cakes</w>": 5950,
-  "cal": 1198,
-  "cal</w>": 6372,
-  "cala</w>": 32133,
-  "calab": 31795,
-  "calais</w>": 39886,
-  "calam": 28841,
-  "calc</w>": 45055,
-  "calci": 22824,
-  "calcium</w>": 27815,
-  "calcu": 15328,
-  "calcul": 15734,
-  "calculate</w>": 37656,
-  "calculated</w>": 40688,
-  "calculations</w>": 44605,
-  "calculator</w>": 26093,
-  "calculus</w>": 35104,
-  "calcutta</w>": 42901,
-  "calder": 29372,
-  "calder</w>": 36817,
-  "caldwell</w>": 30484,
-  "cale</w>": 32674,
-  "caleb</w>": 19619,
-  "caled": 28421,
-  "calend": 6057,
-  "calendar</w>": 7122,
-  "calendars</w>": 17229,
-  "calf</w>": 17508,
-  "calgary": 27415,
-  "calgary</w>": 10797,
-  "calhoun</w>": 38929,
-  "cali": 2857,
-  "cali</w>": 16337,
-  "caliber</w>": 32820,
-  "calibr": 32597,
-  "calico</w>": 45379,
-  "calif</w>": 30839,
-  "califor": 3526,
-  "californi": 21303,
-  "california</w>": 3729,
-  "call": 7950,
-  "call</w>": 1620,
-  "calla": 20658,
-  "callahan</w>": 43313,
-  "callaway</w>": 42596,
-  "callback</w>": 44764,
-  "calle": 47699,
-  "calle</w>": 38144,
-  "called</w>": 2726,
-  "caller</w>": 30666,
-  "calli": 16338,
-  "callie</w>": 36512,
-  "calligraphy</w>": 27775,
-  "calling</w>": 4597,
-  "callister</w>": 49026,
-  "callme": 42449,
-  "callof": 41280,
-  "calls</w>": 4572,
-  "callum</w>": 23224,
-  "calm": 34990,
-  "calm</w>": 7011,
-  "calming</w>": 30690,
-  "calorie</w>": 32679,
-  "calories</w>": 18029,
-  "cals</w>": 47714,
-  "calum</w>": 16405,
-  "calvary</w>": 40169,
-  "calvert</w>": 47134,
-  "calves</w>": 31857,
-  "calvin": 27642,
-  "calvin</w>": 17345,
-  "caly": 10244,
-  "calyp": 29851,
-  "cam": 1004,
-  "cam</w>": 5982,
-  "camar": 31991,
-  "camber": 44362,
-  "cambo": 14662,
-  "cambodia</w>": 17347,
-  "cambridge": 24651,
-  "cambridge</w>": 9334,
-  "cambridgeshire</w>": 46139,
-  "camden": 38735,
-  "camden</w>": 17984,
-  "came</w>": 1986,
-  "camel": 27005,
-  "camel</w>": 21914,
-  "camels</w>": 41357,
-  "cameo</w>": 19492,
-  "camer": 4961,
-  "camera</w>": 3934,
-  "cameraman</w>": 43347,
-  "cameras</w>": 12172,
-  "camero": 20320,
-  "cameron": 19634,
-  "cameron</w>": 8057,
-  "camerondallas</w>": 40587,
-  "cameroon</w>": 24061,
-  "camil": 37745,
-  "camila</w>": 19919,
-  "camilla</w>": 38897,
-  "camille</w>": 26741,
-  "camino</w>": 28529,
-  "camo": 28702,
-  "camo</w>": 19716,
-  "camogie</w>": 39547,
-  "camou": 23588,
-  "camoufla": 23667,
-  "camouflage</w>": 29049,
-  "camp": 2854,
-  "camp</w>": 2877,
-  "campa": 2793,
-  "campaig": 9448,
-  "campaign": 44524,
-  "campaign</w>": 3193,
-  "campaigner</w>": 46364,
-  "campaigners</w>": 40272,
-  "campaigning</w>": 19594,
-  "campaigns</w>": 15669,
-  "campan": 31765,
-  "campbell": 29094,
-  "campbell</w>": 8806,
-  "campe": 16672,
-  "campeon": 49109,
-  "campeones</w>": 30105,
-  "camper": 41914,
-  "camper</w>": 24522,
-  "campers</w>": 26619,
-  "campfire</w>": 32530,
-  "campground</w>": 46969,
-  "camping</w>": 9982,
-  "campo</w>": 27600,
-  "campos</w>": 48077,
-  "camps</w>": 12806,
-  "campsite</w>": 44243,
-  "campu": 19687,
-  "campus</w>": 4560,
-  "campuses</w>": 31895,
-  "camra</w>": 46155,
-  "camry</w>": 46472,
-  "cams</w>": 32590,
-  "can": 950,
-  "can</w>": 753,
-  "cana</w>": 28341,
-  "canad": 13193,
-  "canada</w>": 2698,
-  "canadaday</w>": 39800,
-  "canadi": 4329,
-  "canadian": 22160,
-  "canadian</w>": 5255,
-  "canadians</w>": 18989,
-  "canadiens</w>": 40932,
-  "canal": 28585,
-  "canal</w>": 9535,
-  "canals</w>": 38483,
-  "canaria</w>": 47117,
-  "canary": 40409,
-  "canary</w>": 24523,
-  "canberra</w>": 16719,
-  "canc": 43189,
-  "cancel": 12026,
-  "cancel</w>": 21546,
-  "canceled</w>": 25874,
-  "cancell": 28027,
-  "cancellation</w>": 38765,
-  "cancelled</w>": 13270,
-  "cancels</w>": 34089,
-  "cancer": 12690,
-  "cancer</w>": 3148,
-  "cancers</w>": 33201,
-  "cancun</w>": 34721,
-  "cand": 4986,
-  "candace</w>": 45623,
-  "candel": 47834,
-  "candi": 6034,
-  "candice</w>": 30024,
-  "candid": 7884,
-  "candid</w>": 19206,
-  "candidacy</w>": 46248,
-  "candidate</w>": 6475,
-  "candidates</w>": 8619,
-  "candied</w>": 43982,
-  "candies</w>": 46305,
-  "candle": 18995,
-  "candle</w>": 12674,
-  "candlelight</w>": 34724,
-  "candles</w>": 15472,
-  "candy": 20741,
-  "candy</w>": 6417,
-  "cane": 23644,
-  "cane</w>": 14716,
-  "canelo</w>": 43210,
-  "canes</w>": 21902,
-  "cani": 35592,
-  "canine</w>": 27380,
-  "cann": 4139,
-  "cann</w>": 23709,
-  "cannab": 7577,
-  "cannabis": 31837,
-  "cannabis</w>": 8861,
-  "canne": 44252,
-  "canned</w>": 27290,
-  "cannes</w>": 13773,
-  "canni": 26389,
-  "canning</w>": 38621,
-  "cannon": 28771,
-  "cannon</w>": 15661,
-  "cannons</w>": 46269,
-  "cannot</w>": 4785,
-  "canny</w>": 26986,
-  "cano": 31668,
-  "cano</w>": 25937,
-  "canoe</w>": 23503,
-  "canola</w>": 40389,
-  "canon": 17749,
-  "canon</w>": 9310,
-  "canopy</w>": 26061,
-  "cans</w>": 13707,
-  "cant": 13395,
-  "cant</w>": 5784,
-  "canteen</w>": 39230,
-  "canter": 19301,
-  "canterbury</w>": 22271,
-  "canti": 42845,
-  "cantina</w>": 47472,
-  "canton": 37735,
-  "canton</w>": 25363,
-  "cantore</w>": 41769,
-  "cantwait</w>": 33760,
-  "canu": 20171,
-  "canucks</w>": 24321,
-  "canv": 30714,
-  "canvas": 22441,
-  "canvas</w>": 7483,
-  "canvass</w>": 40054,
-  "canvassing</w>": 33783,
-  "cany": 47674,
-  "canyon": 41246,
-  "canyon</w>": 9755,
-  "cao</w>": 29207,
-  "cap": 1289,
-  "cap</w>": 3938,
-  "capabilities</w>": 19512,
-  "capability</w>": 25885,
-  "capable</w>": 14742,
-  "capac": 24665,
-  "capacity</w>": 8970,
-  "capcom</w>": 28342,
-  "cape": 10288,
-  "cape</w>": 6631,
-  "capecod</w>": 41339,
-  "capes</w>": 38785,
-  "capetown</w>": 20059,
-  "capit": 6889,
-  "capita</w>": 41833,
-  "capital": 11198,
-  "capital</w>": 5439,
-  "capitalism</w>": 20068,
-  "capitalist</w>": 37015,
-  "capitals</w>": 29579,
-  "capitol": 43880,
-  "capitol</w>": 11375,
-  "capo</w>": 45477,
-  "capp": 16718,
-  "capped</w>": 24659,
-  "capping</w>": 42656,
-  "cappuccino</w>": 37402,
-  "capri": 48699,
-  "capri</w>": 30982,
-  "capric": 28667,
-  "capricorn</w>": 46314,
-  "caps</w>": 23185,
-  "capsu": 15608,
-  "capsul": 40341,
-  "capsule</w>": 20627,
-  "capsules</w>": 32870,
-  "capt": 45815,
-  "capt</w>": 17369,
-  "captain": 14958,
-  "captain</w>": 4621,
-  "captainamerica</w>": 46229,
-  "captainmarvel</w>": 48492,
-  "captains</w>": 18706,
-  "caption</w>": 11327,
-  "captions</w>": 41878,
-  "captiv": 19776,
-  "captivating</w>": 30580,
-  "captive</w>": 29038,
-  "captivity</w>": 41141,
-  "capture</w>": 8818,
-  "captured</w>": 8020,
-  "captures</w>": 15305,
-  "capturing</w>": 19548,
-  "capu": 44241,
-  "car": 811,
-  "car</w>": 1615,
-  "cara</w>": 20016,
-  "carab": 32251,
-  "carac": 30029,
-  "caracas</w>": 45854,
-  "caramel</w>": 14788,
-  "carameli": 41739,
-  "caramelized</w>": 43854,
-  "carat</w>": 32981,
-  "carav": 13814,
-  "caravan</w>": 18566,
-  "carb</w>": 21379,
-  "carbo": 43235,
-  "carbon": 14038,
-  "carbon</w>": 7549,
-  "carbs</w>": 29313,
-  "carcin": 31587,
-  "carcinoma</w>": 46810,
-  "card": 10793,
-  "card</w>": 2601,
-  "cardam": 49008,
-  "cardboard</w>": 19845,
-  "cardi": 6211,
-  "cardi</w>": 29677,
-  "cardiac</w>": 21256,
-  "cardiff": 22488,
-  "cardiff</w>": 9781,
-  "cardigan</w>": 30501,
-  "cardin": 8457,
-  "cardinal": 46310,
-  "cardinal</w>": 16472,
-  "cardinals</w>": 12837,
-  "cardio": 15003,
-  "cardio</w>": 23455,
-  "cardiology</w>": 37276,
-  "cardiovascular</w>": 29291,
-  "cardo</w>": 40625,
-  "cards</w>": 4094,
-  "care": 2050,
-  "care</w>": 1776,
-  "cared</w>": 27675,
-  "career": 20609,
-  "career</w>": 3061,
-  "careers</w>": 10090,
-  "careful</w>": 11999,
-  "carefully</w>": 15789,
-  "caregi": 22042,
-  "caregiver</w>": 46372,
-  "caregivers</w>": 35909,
-  "careless</w>": 47325,
-  "carers</w>": 26484,
-  "cares</w>": 10968,
-  "caretaker</w>": 48037,
-  "carey</w>": 14895,
-  "cargo</w>": 12490,
-  "cari": 18497,
-  "cari</w>": 37273,
-  "carib": 9757,
-  "caribbean</w>": 10368,
-  "caribou</w>": 42135,
-  "caric": 25337,
-  "caricature</w>": 38857,
-  "carina</w>": 44357,
-  "caring</w>": 13083,
-  "carl": 8273,
-  "carl</w>": 9482,
-  "carla</w>": 25552,
-  "carleton</w>": 46496,
-  "carlin</w>": 47559,
-  "carlisle</w>": 23276,
-  "carlo": 17861,
-  "carlo</w>": 15266,
-  "carlos</w>": 9538,
-  "carlow</w>": 44745,
-  "carls": 39635,
-  "carlson</w>": 24114,
-  "carlton</w>": 18934,
-  "carly": 23166,
-  "carly</w>": 22689,
-  "carlyle</w>": 46555,
-  "carmel": 30757,
-  "carmel</w>": 25601,
-  "carmen": 41427,
-  "carmen</w>": 18834,
-  "carmichael</w>": 41657,
-  "carn": 21597,
-  "carnage</w>": 31385,
-  "carnation</w>": 44577,
-  "carnaval</w>": 47238,
-  "carne": 17053,
-  "carne</w>": 42885,
-  "carnegie</w>": 25287,
-  "carney</w>": 34194,
-  "carni": 8438,
-  "carnival": 36708,
-  "carnival</w>": 10577,
-  "caro": 30317,
-  "caro</w>": 29344,
-  "carol": 4242,
-  "carol</w>": 11489,
-  "carole</w>": 31955,
-  "carolin": 26418,
-  "carolina</w>": 7027,
-  "caroline": 31064,
-  "caroline</w>": 12641,
-  "carols</w>": 33269,
-  "carolyn</w>": 25825,
-  "carou": 32224,
-  "carousel</w>": 36665,
-  "carp</w>": 26085,
-  "carpen": 15584,
-  "carpenter</w>": 18475,
-  "carpet</w>": 6922,
-  "carpets</w>": 34612,
-  "carr": 26951,
-  "carr</w>": 17136,
-  "carra": 32332,
-  "carre": 31114,
-  "carrera</w>": 32952,
-  "carri": 4739,
-  "carriage": 47885,
-  "carriage</w>": 21087,
-  "carrick</w>": 44052,
-  "carrie": 30334,
-  "carrie</w>": 15848,
-  "carried</w>": 12960,
-  "carrier</w>": 12308,
-  "carriers</w>": 26865,
-  "carries</w>": 17982,
-  "carrieunderwood</w>": 47338,
-  "carrington</w>": 48759,
-  "carroll": 41911,
-  "carroll</w>": 14893,
-  "carrot</w>": 15435,
-  "carrots</w>": 19299,
-  "carry": 31863,
-  "carry</w>": 6998,
-  "carrying</w>": 9920,
-  "cars</w>": 3346,
-  "carsforsale</w>": 45222,
-  "carson": 41766,
-  "carson</w>": 13171,
-  "cart": 27705,
-  "cart</w>": 13065,
-  "cartag": 45042,
-  "cartagena</w>": 47157,
-  "carte</w>": 44949,
-  "cartel</w>": 30529,
-  "carter": 27330,
-  "carter</w>": 7260,
-  "cartier</w>": 32951,
-  "carto": 5487,
-  "carton</w>": 41812,
-  "cartoon": 33082,
-  "cartoon</w>": 7651,
-  "cartoonist</w>": 30793,
-  "cartoons</w>": 17673,
-  "cartri": 47084,
-  "cartridge</w>": 29432,
-  "cartridges</w>": 49249,
-  "carts</w>": 27581,
-  "cartunesapp</w>": 32888,
-  "caruso</w>": 45192,
-  "carve</w>": 40152,
-  "carved</w>": 15127,
-  "carver</w>": 28850,
-  "carving</w>": 19428,
-  "carvings</w>": 48123,
-  "cary</w>": 22844,
-  "cas": 1671,
-  "cas</w>": 13831,
-  "casa</w>": 14643,
-  "casablanc": 36572,
-  "casablanca</w>": 41950,
-  "casc": 36714,
-  "casca": 43296,
-  "cascade</w>": 29065,
-  "cascades</w>": 46454,
-  "case": 17698,
-  "case</w>": 2068,
-  "cases</w>": 6888,
-  "casey": 24899,
-  "casey</w>": 12836,
-  "cash": 11050,
-  "cash</w>": 5131,
-  "cashback</w>": 36368,
-  "cashe": 32233,
-  "cashew</w>": 39531,
-  "cashi": 29517,
-  "cashier</w>": 34547,
-  "cashmere</w>": 34566,
-  "casi": 38350,
-  "casino</w>": 10473,
-  "casio</w>": 32261,
-  "cask</w>": 26299,
-  "casm</w>": 35198,
-  "casper</w>": 35892,
-  "cass</w>": 22556,
-  "cassandra</w>": 35289,
-  "casser": 31093,
-  "casserole</w>": 36045,
-  "cassette</w>": 19717,
-  "cassi": 14942,
-  "cassidy</w>": 21757,
-  "cassie</w>": 29323,
-  "cassini</w>": 46554,
-  "cast": 2509,
-  "cast</w>": 1970,
-  "caste</w>": 32693,
-  "casted</w>": 33838,
-  "castel": 43306,
-  "castell": 31792,
-  "caster": 32101,
-  "caster</w>": 8449,
-  "casters</w>": 29721,
-  "castic</w>": 47737,
-  "castillo</w>": 30813,
-  "casting</w>": 7087,
-  "castle": 12496,
-  "castle</w>": 3540,
-  "castles</w>": 24766,
-  "castro</w>": 16950,
-  "casts</w>": 10595,
-  "casu": 15345,
-  "casual</w>": 10129,
-  "casually</w>": 18840,
-  "casualties</w>": 30244,
-  "casualty</w>": 31222,
-  "cat": 1481,
-  "cat</w>": 2368,
-  "cata</w>": 42279,
-  "catal": 12792,
-  "catalan</w>": 30532,
-  "catalina</w>": 36576,
-  "catalo": 34740,
-  "catalog</w>": 20036,
-  "catalogue</w>": 20985,
-  "catalonia</w>": 27039,
-  "catalunya</w>": 44132,
-  "cataly": 15894,
-  "catalyst</w>": 25387,
-  "catan</w>": 45893,
-  "catap": 39514,
-  "catar": 35801,
-  "catastro": 22736,
-  "catastrophe</w>": 41422,
-  "catastrophic</w>": 34448,
-  "catch": 18901,
-  "catch</w>": 3042,
-  "catcher</w>": 15965,
-  "catchers</w>": 39060,
-  "catches</w>": 17213,
-  "catching</w>": 8617,
-  "catchy</w>": 37114,
-  "catday</w>": 32243,
-  "cate": 6357,
-  "cate</w>": 24510,
-  "cated</w>": 31823,
-  "categor": 17006,
-  "categori": 40117,
-  "categories</w>": 19971,
-  "category</w>": 9432,
-  "cater": 16634,
-  "cater</w>": 38101,
-  "catering</w>": 16697,
-  "caterpillar</w>": 27111,
-  "catfish</w>": 26077,
-  "cath": 9196,
-  "cath</w>": 30811,
-  "cathar": 43784,
-  "cathe": 7174,
-  "cathedr": 46370,
-  "cathedral</w>": 7865,
-  "catherine": 35035,
-  "catherine</w>": 12339,
-  "catho": 7595,
-  "cathol": 16315,
-  "catholic": 20382,
-  "catholic</w>": 7757,
-  "catholics</w>": 36808,
-  "cathy": 40326,
-  "cathy</w>": 22731,
-  "cation</w>": 21367,
-  "cato</w>": 33558,
-  "cats": 38800,
-  "cats</w>": 3989,
-  "catsofinstagram</w>": 39901,
-  "catsoftwitter</w>": 17273,
-  "catt": 37339,
-  "cattle": 48799,
-  "cattle</w>": 13644,
-  "caturday</w>": 20892,
-  "catwalk</w>": 36565,
-  "catwoman</w>": 47251,
-  "cau": 1121,
-  "cau</w>": 45529,
-  "caucus</w>": 18847,
-  "caught</w>": 4520,
-  "caul": 23460,
-  "cauley</w>": 41682,
-  "caulfield</w>": 44906,
-  "cauli": 20123,
-  "cauliflower</w>": 23802,
-  "cause": 18982,
-  "cause</w>": 1394,
-  "caused</w>": 8940,
-  "causes</w>": 9775,
-  "causeway</w>": 35034,
-  "causing</w>": 10779,
-  "caution</w>": 15656,
-  "cautious</w>": 36579,
-  "cav": 4942,
-  "cav</w>": 45935,
-  "cava</w>": 48682,
-  "caval": 24537,
-  "cavali": 20783,
-  "cavalier</w>": 44488,
-  "cavaliers</w>": 30194,
-  "cavalry</w>": 32467,
-  "cave": 25441,
-  "cave</w>": 9654,
-  "cavendish</w>": 42945,
-  "caver": 41487,
-  "caves</w>": 22096,
-  "cavi": 27360,
-  "caviar</w>": 31228,
-  "cavill</w>": 40492,
-  "cavity</w>": 43156,
-  "cavs</w>": 16800,
-  "caw": 38405,
-  "caw</w>": 43804,
-  "cawx</w>": 26739,
-  "cay": 11876,
-  "cay</w>": 37399,
-  "cayenne</w>": 43650,
-  "cayman</w>": 33737,
-  "caz": 48451,
-  "cb": 4034,
-  "cb</w>": 8830,
-  "cba</w>": 38472,
-  "cbb</w>": 31487,
-  "cbc": 14096,
-  "cbc</w>": 14523,
-  "cbd</w>": 13176,
-  "cbe</w>": 43639,
-  "cbi</w>": 30875,
-  "cbj</w>": 35608,
-  "cbn</w>": 26579,
-  "cbp</w>": 46723,
-  "cbr</w>": 28762,
-  "cbs": 16788,
-  "cbs</w>": 8009,
-  "cc": 2976,
-  "cc</w>": 2021,
-  "cca</w>": 17987,
-  "ccc</w>": 21856,
-  "ccd</w>": 48556,
-  "ccg</w>": 37755,
-  "cch": 21789,
-  "cchini</w>": 28467,
-  "cci": 32942,
-  "cci</w>": 8196,
-  "ccl</w>": 43773,
-  "ccm</w>": 40435,
-  "cco</w>": 28786,
-  "ccot</w>": 24950,
-  "ccp</w>": 43045,
-  "ccs</w>": 30400,
-  "cctv</w>": 23097,
-  "ccu</w>": 49023,
-  "cd": 4308,
-  "cd</w>": 4480,
-  "cda</w>": 45565,
-  "cdc": 41098,
-  "cdc</w>": 25779,
-  "cdn": 8886,
-  "cdn</w>": 26802,
-  "cdnpoli</w>": 11645,
-  "cdo</w>": 47187,
-  "cdp</w>": 39624,
-  "cds</w>": 20784,
-  "cdt</w>": 18455,
-  "ce": 685,
-  "ce</w>": 629,
-  "cea</w>": 28355,
-  "cean": 34409,
-  "cean</w>": 37295,
-  "cease": 32856,
-  "cease</w>": 25499,
-  "ceasefire</w>": 38291,
-  "cebu</w>": 20146,
-  "cec": 29694,
-  "cec</w>": 40029,
-  "cecil": 26987,
-  "cecil</w>": 27169,
-  "cecilia</w>": 35440,
-  "ced": 25634,
-  "ced</w>": 2323,
-  "cedar": 24167,
-  "cedar</w>": 13799,
-  "cedric</w>": 36608,
-  "cee": 45966,
-  "cee</w>": 15015,
-  "cees</w>": 47914,
-  "ceil": 27275,
-  "ceiling</w>": 12374,
-  "ceilings</w>": 33770,
-  "cek</w>": 45544,
-  "cel": 2269,
-  "cel</w>": 7597,
-  "cele": 1314,
-  "celeb": 38862,
-  "celeb</w>": 19393,
-  "celebr": 1372,
-  "celebrate": 31414,
-  "celebrate</w>": 2694,
-  "celebrated</w>": 9184,
-  "celebrates</w>": 7564,
-  "celebrating</w>": 3382,
-  "celebration</w>": 4615,
-  "celebrations</w>": 10825,
-  "celebratory</w>": 34115,
-  "celebrities</w>": 17071,
-  "celebrity": 23981,
-  "celebrity</w>": 7320,
-  "celebs</w>": 19803,
-  "celed</w>": 25741,
-  "celer": 9621,
-  "celery</w>": 30990,
-  "celeste</w>": 29364,
-  "celesti": 29497,
-  "celestial</w>": 32669,
-  "celi": 25567,
-  "celia</w>": 44489,
-  "celine</w>": 33644,
-  "cell": 9316,
-  "cell</w>": 5533,
-  "cellar</w>": 24282,
-  "cellars</w>": 44976,
-  "cellence</w>": 34687,
-  "cello</w>": 23013,
-  "cellphone</w>": 39029,
-  "cells</w>": 8890,
-  "cellu": 16791,
-  "cellular</w>": 23268,
-  "cels</w>": 24021,
-  "celsius</w>": 47057,
-  "celtic": 21897,
-  "celtic</w>": 10523,
-  "celticfc</w>": 38612,
-  "celtics</w>": 16226,
-  "cem</w>": 41435,
-  "ceme": 10517,
-  "cement</w>": 4369,
-  "cements</w>": 19448,
-  "cemetery</w>": 11660,
-  "cen": 1306,
-  "cen</w>": 30106,
-  "cena</w>": 21591,
-  "cence</w>": 24410,
-  "cency</w>": 41259,
-  "cene</w>": 30038,
-  "censor": 24230,
-  "censor</w>": 44709,
-  "censored</w>": 30951,
-  "censorship</w>": 27284,
-  "census</w>": 23677,
-  "cent": 1784,
-  "cent</w>": 3662,
-  "centenary</w>": 22422,
-  "centennial</w>": 20895,
-  "center": 16651,
-  "center</w>": 2119,
-  "centered</w>": 24584,
-  "centers</w>": 14494,
-  "centi": 48889,
-  "centime": 48687,
-  "centr": 2370,
-  "central": 13448,
-  "central</w>": 3339,
-  "centre": 26310,
-  "centre</w>": 2916,
-  "centred</w>": 47925,
-  "centres</w>": 19354,
-  "centri": 30872,
-  "centric</w>": 19297,
-  "centro</w>": 37178,
-  "cents</w>": 11934,
-  "centu": 16818,
-  "centuri": 36816,
-  "centuries</w>": 19014,
-  "century": 26134,
-  "century</w>": 4275,
-  "ceo": 46340,
-  "ceo</w>": 3559,
-  "ceos</w>": 28332,
-  "cep": 2632,
-  "cep</w>": 48714,
-  "ceph": 44343,
-  "cept</w>": 3678,
-  "ception</w>": 12346,
-  "cer": 1364,
-  "cer</w>": 1925,
-  "cera</w>": 34608,
-  "ceram": 10677,
-  "ceramic</w>": 15112,
-  "ceramics</w>": 22438,
-  "cere": 3984,
-  "cere</w>": 22085,
-  "cereal</w>": 17581,
-  "cereals</w>": 48618,
-  "cerebral</w>": 39073,
-  "ceremon": 15796,
-  "ceremonial</w>": 33281,
-  "ceremonies</w>": 21547,
-  "ceremony</w>": 5193,
-  "cern</w>": 44851,
-  "cers</w>": 13638,
-  "cert</w>": 27522,
-  "certain": 8526,
-  "certain</w>": 7883,
-  "certainly</w>": 10883,
-  "certainty</w>": 20054,
-  "certi": 4888,
-  "certific": 9443,
-  "certificate</w>": 11786,
-  "certificates</w>": 25281,
-  "certification</w>": 14735,
-  "certified</w>": 9288,
-  "cerv": 25738,
-  "cervical</w>": 35953,
-  "ces": 28715,
-  "ces</w>": 1604,
-  "cesar": 37025,
-  "cesar</w>": 28603,
-  "cess": 2314,
-  "cess</w>": 1554,
-  "cessna</w>": 36596,
-  "cest</w>": 27245,
-  "cester": 15769,
-  "cester</w>": 12718,
-  "cet</w>": 14960,
-  "cett</w>": 46708,
-  "ceu</w>": 37457,
-  "cevic": 48369,
-  "cey</w>": 20971,
-  "cf": 10189,
-  "cf</w>": 11171,
-  "cfa</w>": 34521,
-  "cfb</w>": 32931,
-  "cfc</w>": 11577,
-  "cfd</w>": 46171,
-  "cfl": 46320,
-  "cfl</w>": 22332,
-  "cfo</w>": 26937,
-  "cfp</w>": 40756,
-  "cfr</w>": 44033,
-  "cfs</w>": 32835,
-  "cg": 27118,
-  "cg</w>": 14740,
-  "cgc</w>": 38775,
-  "cgi</w>": 30520,
-  "ch": 540,
-  "ch</w>": 634,
-  "cha": 1587,
-  "cha</w>": 4541,
-  "chab": 26670,
-  "chad": 13095,
-  "chad</w>": 12923,
-  "chae": 9460,
-  "chaf": 38123,
-  "chag": 27989,
-  "chai": 31590,
-  "chai</w>": 18919,
-  "chain": 13898,
-  "chain</w>": 3946,
-  "chained</w>": 34402,
-  "chains</w>": 14438,
-  "chainsaw</w>": 37617,
-  "chainz</w>": 39687,
-  "chair": 4728,
-  "chair</w>": 4269,
-  "chaired</w>": 31664,
-  "chairing</w>": 42205,
-  "chairman</w>": 6901,
-  "chairperson</w>": 31584,
-  "chairs</w>": 12033,
-  "chak": 13702,
-  "chak</w>": 41713,
-  "chakra": 38304,
-  "chakra</w>": 33241,
-  "chal": 7397,
-  "chal</w>": 30809,
-  "chale</w>": 38099,
-  "chalet</w>": 37907,
-  "chalk": 31362,
-  "chalk</w>": 17846,
-  "chall": 2073,
-  "challeng": 4138,
-  "challenge": 29462,
-  "challenge</w>": 2836,
-  "challenged</w>": 17380,
-  "challenger</w>": 18228,
-  "challengers</w>": 46404,
-  "challenges</w>": 6280,
-  "challenging</w>": 11754,
-  "chalmers</w>": 47955,
-  "cham": 1290,
-  "cham</w>": 19951,
-  "chamber": 18983,
-  "chamber</w>": 7642,
-  "chamberlain</w>": 32756,
-  "chambers</w>": 16501,
-  "chamele": 34759,
-  "chameleon</w>": 41317,
-  "champ": 36813,
-  "champ</w>": 6602,
-  "champag": 10283,
-  "champagne</w>": 11007,
-  "champi": 1680,
-  "champion": 2643,
-  "champion</w>": 3950,
-  "champions</w>": 4227,
-  "championship</w>": 3429,
-  "championships</w>": 7047,
-  "championsleague</w>": 27638,
-  "champs</w>": 6240,
-  "chan": 1255,
-  "chan</w>": 6704,
-  "chana</w>": 48752,
-  "chanc": 13931,
-  "chance": 32940,
-  "chance</w>": 2594,
-  "chancellor</w>": 15886,
-  "chances</w>": 10870,
-  "chand": 7126,
-  "chand</w>": 41508,
-  "chandelier</w>": 30570,
-  "chandi": 12482,
-  "chandigarh</w>": 34106,
-  "chandler</w>": 17595,
-  "chandra": 27082,
-  "chandra</w>": 25348,
-  "chanel</w>": 16951,
-  "chang": 2233,
-  "chang</w>": 16461,
-  "change": 11608,
-  "change</w>": 1799,
-  "changeable</w>": 41335,
-  "changed</w>": 4907,
-  "changer</w>": 18406,
-  "changers</w>": 35185,
-  "changes</w>": 4938,
-  "changing": 40384,
-  "changing</w>": 5621,
-  "changmin</w>": 47410,
-  "chann": 8804,
-  "channel": 25837,
-  "channel</w>": 3847,
-  "channeling</w>": 28197,
-  "channels</w>": 13961,
-  "channing</w>": 37417,
-  "chant": 18165,
-  "chant</w>": 13521,
-  "chanting</w>": 32111,
-  "chants</w>": 22723,
-  "chanyeol</w>": 18805,
-  "chao</w>": 31815,
-  "chaos</w>": 10853,
-  "chaotic</w>": 33501,
-  "chap": 3825,
-  "chap</w>": 21939,
-  "chapel": 40859,
-  "chapel</w>": 10137,
-  "chaplain</w>": 38348,
-  "chaplin</w>": 32545,
-  "chapman</w>": 17968,
-  "chapp": 20634,
-  "chaps</w>": 36823,
-  "chapter</w>": 6014,
-  "chapters</w>": 22936,
-  "char": 1054,
-  "char</w>": 16017,
-  "chara</w>": 35668,
-  "charac": 2792,
-  "character": 10997,
-  "character</w>": 4009,
-  "characterdesign</w>": 38149,
-  "characteri": 20920,
-  "characteristic</w>": 44747,
-  "characteristics</w>": 26037,
-  "characters</w>": 6564,
-  "charan</w>": 31851,
-  "charcoal</w>": 19268,
-  "chard</w>": 17524,
-  "chardon": 26599,
-  "chardonnay</w>": 28161,
-  "charge": 25032,
-  "charge</w>": 5948,
-  "chargeable</w>": 35664,
-  "charged</w>": 7916,
-  "charger</w>": 13090,
-  "chargers</w>": 17352,
-  "charges</w>": 8962,
-  "charging</w>": 12514,
-  "chariot</w>": 38811,
-  "charis": 24449,
-  "charisma</w>": 45041,
-  "charismatic</w>": 37205,
-  "charitable</w>": 23256,
-  "charities</w>": 18493,
-  "charity": 20008,
-  "charity</w>": 4607,
-  "charitytuesday</w>": 42794,
-  "charl": 47736,
-  "charle": 10217,
-  "charles": 27983,
-  "charles</w>": 5127,
-  "charleston</w>": 15478,
-  "charley</w>": 38027,
-  "charli": 21784,
-  "charli</w>": 49392,
-  "charlie": 16764,
-  "charlie</w>": 6393,
-  "charlotte": 18445,
-  "charlotte</w>": 7871,
-  "charlottesville</w>": 32027,
-  "charlton</w>": 27048,
-  "charm</w>": 10876,
-  "charmed</w>": 39790,
-  "charming</w>": 12177,
-  "charms</w>": 21944,
-  "charred</w>": 44085,
-  "chart": 42685,
-  "chart</w>": 5053,
-  "charted</w>": 27939,
-  "charter": 42345,
-  "charter</w>": 13569,
-  "chartered</w>": 31298,
-  "charters</w>": 46626,
-  "charting</w>": 39841,
-  "charts</w>": 10728,
-  "chas": 10717,
-  "chas</w>": 29838,
-  "chase": 21503,
-  "chase</w>": 3859,
-  "chased</w>": 30342,
-  "chaser</w>": 29560,
-  "chasers</w>": 34158,
-  "chases</w>": 45011,
-  "chasing": 46909,
-  "chasing</w>": 13376,
-  "chassis</w>": 29188,
-  "chast": 42176,
-  "chasu": 41352,
-  "chat": 5355,
-  "chat</w>": 2402,
-  "chatbots</w>": 43994,
-  "chate": 30377,
-  "chateau": 44582,
-  "chateau</w>": 23520,
-  "chath": 46849,
-  "chatham</w>": 32030,
-  "chats</w>": 13263,
-  "chatt": 21618,
-  "chattanoo": 28009,
-  "chattanooga</w>": 29866,
-  "chatted</w>": 34124,
-  "chatter": 33473,
-  "chatter</w>": 41103,
-  "chatting</w>": 12401,
-  "chatur": 33839,
-  "chau": 11263,
-  "chau</w>": 37536,
-  "chauffe": 45440,
-  "chauhan</w>": 46663,
-  "chav": 28997,
-  "chavez</w>": 27480,
-  "chaw": 39639,
-  "chay": 45317,
-  "chaz": 47815,
-  "chc</w>": 36233,
-  "chd</w>": 41645,
-  "che": 983,
-  "che</w>": 3842,
-  "chea</w>": 39580,
-  "chead": 48358,
-  "cheap": 27036,
-  "cheap</w>": 8678,
-  "cheape": 26164,
-  "cheaper</w>": 17776,
-  "cheapest</w>": 26640,
-  "cheat</w>": 18180,
-  "cheated</w>": 34285,
-  "cheating</w>": 19722,
-  "chec": 1113,
-  "check": 7672,
-  "check</w>": 1217,
-  "checked</w>": 10387,
-  "checker</w>": 45883,
-  "checkers</w>": 48181,
-  "checking</w>": 7441,
-  "checklist</w>": 26989,
-  "checkout</w>": 13101,
-  "checkpoint</w>": 27531,
-  "checks</w>": 13737,
-  "ched": 11341,
-  "ched</w>": 2146,
-  "cheddar</w>": 20551,
-  "chee": 5326,
-  "chee</w>": 20944,
-  "cheek": 40000,
-  "cheek</w>": 21227,
-  "cheeks</w>": 23019,
-  "cheeky</w>": 15068,
-  "cheer": 9733,
-  "cheer</w>": 6918,
-  "cheered</w>": 38111,
-  "cheerful</w>": 28882,
-  "cheering</w>": 14289,
-  "cheerleader</w>": 29072,
-  "cheerleaders</w>": 22343,
-  "cheerleading</w>": 36366,
-  "cheers</w>": 6562,
-  "chees": 15182,
-  "cheese": 10738,
-  "cheese</w>": 4108,
-  "cheeseburger</w>": 41200,
-  "cheesecake</w>": 17803,
-  "cheeses</w>": 36076,
-  "cheesy</w>": 22093,
-  "cheetah</w>": 27431,
-  "chef": 12137,
-  "chef</w>": 4895,
-  "chefs</w>": 14486,
-  "chek</w>": 43745,
-  "chel": 3084,
-  "chel</w>": 25970,
-  "chell</w>": 46854,
-  "chelle</w>": 30141,
-  "chelms": 34936,
-  "chelmsford</w>": 39890,
-  "chelse": 19071,
-  "chelsea</w>": 6031,
-  "chelseafc</w>": 25927,
-  "chelten": 18889,
-  "cheltenham</w>": 21589,
-  "chem": 5667,
-  "chem</w>": 13698,
-  "chemi": 7179,
-  "chemical": 39376,
-  "chemical</w>": 9208,
-  "chemicals</w>": 17426,
-  "chemist</w>": 23138,
-  "chemistry</w>": 8841,
-  "chemo": 33095,
-  "chemo</w>": 36348,
-  "chemotherapy</w>": 41412,
-  "chemtrails</w>": 46015,
-  "chen": 5907,
-  "chen</w>": 8983,
-  "cheney</w>": 43522,
-  "cheng": 32512,
-  "cheng</w>": 30190,
-  "chenko</w>": 29073,
-  "chennai": 28948,
-  "chennai</w>": 12791,
-  "cheon</w>": 11498,
-  "cheque</w>": 28168,
-  "cher": 3597,
-  "cher</w>": 3466,
-  "cheri": 26471,
-  "cherish</w>": 20053,
-  "cherished</w>": 42325,
-  "cherno": 35376,
-  "chernobyl</w>": 40554,
-  "chero": 19844,
-  "cherokee</w>": 22860,
-  "cherries</w>": 27248,
-  "cherry": 21470,
-  "cherry</w>": 7325,
-  "chers</w>": 5789,
-  "chery</w>": 38478,
-  "cheryl": 37784,
-  "cheryl</w>": 20600,
-  "ches": 18346,
-  "ches</w>": 1910,
-  "chesa": 28349,
-  "chesapeake</w>": 32909,
-  "cheshire</w>": 17130,
-  "chesney</w>": 48747,
-  "chess": 27170,
-  "chess</w>": 8397,
-  "chest": 18217,
-  "chest</w>": 10563,
-  "chester": 10466,
-  "chester</w>": 3343,
-  "chesterfield</w>": 32975,
-  "chestnut</w>": 21834,
-  "chet</w>": 9663,
-  "chett</w>": 24695,
-  "chev": 7152,
-  "chev</w>": 41145,
-  "chevro": 12850,
-  "chevrolet</w>": 13240,
-  "chevron</w>": 33792,
-  "chevy</w>": 16581,
-  "chew": 32645,
-  "chew</w>": 22642,
-  "chewan</w>": 23689,
-  "chewbacca</w>": 49355,
-  "chewing</w>": 31486,
-  "chewy</w>": 42940,
-  "chey": 26968,
-  "chey</w>": 31208,
-  "cheyenne</w>": 34805,
-  "chez": 49183,
-  "chez</w>": 10556,
-  "chf</w>": 33021,
-  "chfield</w>": 41619,
-  "chhat": 34127,
-  "chhattisgarh</w>": 44246,
-  "chi": 1337,
-  "chi</w>": 4039,
-  "chia</w>": 19147,
-  "chiang</w>": 33764,
-  "chibi</w>": 22306,
-  "chic": 2627,
-  "chic</w>": 9091,
-  "chica</w>": 44190,
-  "chicag": 16778,
-  "chicago": 15038,
-  "chicago</w>": 3530,
-  "chicagof": 40638,
-  "chicagofire</w>": 46576,
-  "chicas</w>": 40664,
-  "chichester</w>": 43823,
-  "chick": 3170,
-  "chick</w>": 11238,
-  "chicken": 26322,
-  "chicken</w>": 3717,
-  "chickens</w>": 21658,
-  "chickpea</w>": 48109,
-  "chicks</w>": 17810,
-  "chico</w>": 30379,
-  "chie": 40046,
-  "chie</w>": 12388,
-  "chief": 16830,
-  "chief</w>": 3455,
-  "chiefs</w>": 11419,
-  "chiev": 47761,
-  "chiff": 27407,
-  "chiffon</w>": 31817,
-  "chig": 42952,
-  "chihu": 22857,
-  "chihuahu": 25437,
-  "chihuahua</w>": 30181,
-  "chik</w>": 45455,
-  "chil": 1333,
-  "child": 4392,
-  "child</w>": 2913,
-  "childcare</w>": 31133,
-  "childhood": 34772,
-  "childhood</w>": 7551,
-  "childish</w>": 31939,
-  "childre": 2135,
-  "children": 11101,
-  "children</w>": 2153,
-  "childrens": 31551,
-  "childrens</w>": 21553,
-  "childs</w>": 39521,
-  "chile</w>": 10022,
-  "chilean</w>": 33186,
-  "chili</w>": 13033,
-  "chill": 6498,
-  "chill</w>": 6382,
-  "chilled</w>": 23540,
-  "chillen</w>": 45160,
-  "chilli": 26787,
-  "chilli</w>": 17067,
-  "chillin</w>": 10347,
-  "chilling</w>": 10179,
-  "chillout</w>": 39842,
-  "chills</w>": 25460,
-  "chilly</w>": 14450,
-  "chim": 10543,
-  "chimney</w>": 26821,
-  "chimp</w>": 44374,
-  "chin": 6555,
-  "chin</w>": 8979,
-  "china": 38943,
-  "china</w>": 2817,
-  "chinatown</w>": 28582,
-  "chine": 4013,
-  "chinese": 30568,
-  "chinese</w>": 4271,
-  "ching": 34621,
-  "ching</w>": 1439,
-  "chino": 47181,
-  "chino</w>": 27440,
-  "chinook</w>": 41577,
-  "chinson</w>": 33786,
-  "chio</w>": 19650,
-  "chip": 19271,
-  "chip</w>": 8730,
-  "chipmun": 46384,
-  "chipot": 17702,
-  "chipotle</w>": 19284,
-  "chipp": 39854,
-  "chippe": 46541,
-  "chipped</w>": 39892,
-  "chipping</w>": 40323,
-  "chips</w>": 8855,
-  "chir": 15564,
-  "chiro": 23413,
-  "chiroprac": 25987,
-  "chiropractic</w>": 34437,
-  "chis": 19920,
-  "chistan</w>": 20523,
-  "chiswick</w>": 47290,
-  "chit": 13515,
-  "chit</w>": 45626,
-  "chita</w>": 49184,
-  "chitec": 39862,
-  "chive</w>": 29222,
-  "chives</w>": 34921,
-  "chk</w>": 47424,
-  "chl</w>": 38592,
-  "chley</w>": 47748,
-  "chlo": 10374,
-  "chloe": 39966,
-  "chloe</w>": 13992,
-  "chlor": 23135,
-  "chman</w>": 35835,
-  "chment</w>": 20848,
-  "chner</w>": 48277,
-  "cho": 1327,
-  "cho</w>": 5150,
-  "choa</w>": 43077,
-  "choc": 32772,
-  "choc</w>": 21983,
-  "choco": 46285,
-  "choco</w>": 32692,
-  "chocol": 3443,
-  "chocolat</w>": 44631,
-  "chocolate": 29389,
-  "chocolate</w>": 3820,
-  "chocolates</w>": 24120,
-  "choi</w>": 23749,
-  "choic": 35606,
-  "choice": 23857,
-  "choice</w>": 4051,
-  "choices</w>": 11016,
-  "choir</w>": 9214,
-  "choirs</w>": 43277,
-  "choke</w>": 30231,
-  "choked</w>": 43521,
-  "choker</w>": 39642,
-  "choking</w>": 39993,
-  "chol": 19802,
-  "cholera</w>": 45999,
-  "cholester": 26861,
-  "cholesterol</w>": 27982,
-  "chom": 25151,
-  "chon": 20416,
-  "chon</w>": 21601,
-  "chondri": 37379,
-  "chong</w>": 26220,
-  "choo": 3869,
-  "choo</w>": 24437,
-  "chool</w>": 29578,
-  "chools</w>": 41958,
-  "choose": 22756,
-  "choose</w>": 5073,
-  "chooses</w>": 29923,
-  "choosing</w>": 13475,
-  "chop": 10458,
-  "chop</w>": 16663,
-  "chopin</w>": 42256,
-  "chopped</w>": 22580,
-  "chopper</w>": 24011,
-  "chopping</w>": 35375,
-  "chopra</w>": 24258,
-  "chops</w>": 26321,
-  "chor": 7567,
-  "chor</w>": 47795,
-  "choral</w>": 26684,
-  "chord</w>": 33005,
-  "chords</w>": 36152,
-  "choreo": 17443,
-  "choreographer</w>": 35952,
-  "choreography</w>": 32749,
-  "chores</w>": 40483,
-  "chori": 25718,
-  "chorizo</w>": 30802,
-  "chorus</w>": 20869,
-  "chos</w>": 26559,
-  "chose</w>": 11090,
-  "chosen</w>": 10044,
-  "chou": 16960,
-  "chou</w>": 42917,
-  "choudhary</w>": 45503,
-  "chow": 20257,
-  "chow</w>": 21657,
-  "chowder</w>": 37886,
-  "chp</w>": 35896,
-  "chr</w>": 36918,
-  "chri": 1135,
-  "chris": 9907,
-  "chris</w>": 2978,
-  "chrisbrown</w>": 41035,
-  "chriss": 46745,
-  "chrissy": 44762,
-  "chrissy</w>": 40485,
-  "christ": 1403,
-  "christ</w>": 6703,
-  "christchurch</w>": 27100,
-  "christen": 31956,
-  "christensen</w>": 42226,
-  "christi": 3328,
-  "christi</w>": 33213,
-  "christian": 11792,
-  "christian</w>": 4729,
-  "christianity</w>": 20000,
-  "christians</w>": 14842,
-  "christie</w>": 16084,
-  "christin": 30189,
-  "christina</w>": 15925,
-  "christine": 42610,
-  "christine</w>": 14712,
-  "christma": 12039,
-  "christmas": 18174,
-  "christmas</w>": 1677,
-  "christmaseve</w>": 44381,
-  "christmass": 44873,
-  "christop": 7917,
-  "christoph</w>": 47844,
-  "christophe</w>": 45486,
-  "christopher": 33349,
-  "christopher</w>": 9630,
-  "christy</w>": 28331,
-  "chro": 13207,
-  "chromatic</w>": 44207,
-  "chrome": 24843,
-  "chrome</w>": 9529,
-  "chromo": 35809,
-  "chron": 5577,
-  "chron</w>": 39781,
-  "chronic": 10115,
-  "chronic</w>": 13677,
-  "chronicle</w>": 20034,
-  "chronicles</w>": 18905,
-  "chrono": 29387,
-  "chronograph</w>": 38397,
-  "chry": 13508,
-  "chrysler</w>": 20078,
-  "chs": 40277,
-  "chs</w>": 8391,
-  "chsnews</w>": 44919,
-  "cht</w>": 11384,
-  "chter</w>": 47811,
-  "chu": 3799,
-  "chu</w>": 13622,
-  "chubby</w>": 29109,
-  "chuck": 13211,
-  "chuck</w>": 9894,
-  "chuckle</w>": 35733,
-  "chucky</w>": 42026,
-  "chuffed</w>": 27233,
-  "chuk": 25878,
-  "chuk</w>": 27221,
-  "chul</w>": 33001,
-  "chum": 46869,
-  "chum</w>": 41767,
-  "chun": 14693,
-  "chun</w>": 25391,
-  "chung</w>": 28418,
-  "chunk</w>": 30275,
-  "chunks</w>": 45538,
-  "chunky</w>": 27978,
-  "chups</w>": 46331,
-  "chur": 2309,
-  "church": 14956,
-  "church</w>": 2735,
-  "churches</w>": 15539,
-  "churchill</w>": 17527,
-  "chus</w>": 36246,
-  "chut": 28788,
-  "chutney</w>": 36261,
-  "chy": 15131,
-  "chy</w>": 8096,
-  "chyna</w>": 43398,
-  "châ": 48669,
-  "ci": 698,
-  "ci</w>": 5798,
-  "cia</w>": 4019,
-  "cial</w>": 1143,
-  "cian</w>": 32323,
-  "ciao</w>": 37677,
-  "ciara</w>": 31369,
-  "cible</w>": 28873,
-  "cic": 14539,
-  "cic</w>": 21517,
-  "cid</w>": 27359,
-  "cide</w>": 34178,
-  "cider</w>": 13547,
-  "cides</w>": 41326,
-  "cie</w>": 19730,
-  "cier": 24067,
-  "cies</w>": 6785,
-  "cif</w>": 35698,
-  "cigar": 26031,
-  "cigar</w>": 16525,
-  "cigare": 13044,
-  "cigarette</w>": 18548,
-  "cigarettes</w>": 22750,
-  "cigars</w>": 20750,
-  "cii</w>": 42408,
-  "cil": 9217,
-  "cil</w>": 2998,
-  "cilan": 33998,
-  "cilantro</w>": 34568,
-  "cili": 18977,
-  "ciliation</w>": 25294,
-  "cim</w>": 30021,
-  "cin": 2396,
-  "cin</w>": 25367,
-  "cina</w>": 39467,
-  "cincin": 13291,
-  "cincinnati</w>": 14197,
-  "cinco</w>": 25131,
-  "cincode": 40930,
-  "cincodemayo</w>": 42542,
-  "cincy": 30015,
-  "cincy</w>": 30286,
-  "cinde": 20660,
-  "cinderella</w>": 21515,
-  "cindy": 34439,
-  "cindy</w>": 18532,
-  "cine": 4015,
-  "cine</w>": 27451,
-  "cinema": 38251,
-  "cinema</w>": 6443,
-  "cinemas</w>": 14845,
-  "cinematic</w>": 25602,
-  "cinemato": 21919,
-  "cinematographer</w>": 39059,
-  "cinematography</w>": 33802,
-  "ciner": 39882,
-  "cing</w>": 4014,
-  "cini</w>": 25699,
-  "cinnam": 12768,
-  "cinnamon</w>": 13460,
-  "cino</w>": 18616,
-  "cio": 44584,
-  "cio</w>": 9954,
-  "cion</w>": 22024,
-  "ciones</w>": 37155,
-  "cious</w>": 38466,
-  "cip": 32884,
-  "cir": 2459,
-  "cir</w>": 41135,
-  "circa</w>": 10411,
-  "circle": 33574,
-  "circle</w>": 7117,
-  "circles</w>": 19411,
-  "circling</w>": 46036,
-  "circu": 5143,
-  "circuit": 35583,
-  "circuit</w>": 9801,
-  "circuits</w>": 33260,
-  "circul": 16618,
-  "circular</w>": 19733,
-  "circulare": 39525,
-  "circulareconomy</w>": 39878,
-  "circulated</w>": 46258,
-  "circulating</w>": 42980,
-  "circulation</w>": 27880,
-  "circum": 13406,
-  "circumstances</w>": 18786,
-  "circus</w>": 11833,
-  "cirque</w>": 36049,
-  "cis": 9459,
-  "cis</w>": 23513,
-  "cisco": 36689,
-  "cisco</w>": 19290,
-  "cise</w>": 19657,
-  "cisely</w>": 33434,
-  "cision</w>": 41957,
-  "cism</w>": 24166,
-  "cist</w>": 40906,
-  "cit": 4420,
-  "cit</w>": 31294,
-  "citadel</w>": 38036,
-  "citation</w>": 33581,
-  "cite</w>": 32641,
-  "cited</w>": 25069,
-  "cites</w>": 34490,
-  "citi": 4280,
-  "citi</w>": 30270,
-  "cities</w>": 5441,
-  "citing</w>": 29088,
-  "citiz": 5816,
-  "citizen": 11720,
-  "citizen</w>": 9814,
-  "citizens</w>": 7949,
-  "citizenship</w>": 17386,
-  "cito</w>": 42636,
-  "citro": 27941,
-  "citroen</w>": 35805,
-  "citrus</w>": 17379,
-  "city": 5002,
-  "city</w>": 1305,
-  "cityfc</w>": 28751,
-  "cityo": 25709,
-  "cityof": 11595,
-  "cityscape</w>": 40808,
-  "ciu": 39693,
-  "cius</w>": 42559,
-  "civ": 40039,
-  "civic": 32240,
-  "civic</w>": 11888,
-  "civil": 6923,
-  "civil</w>": 6450,
-  "civilian</w>": 21187,
-  "civilians</w>": 18076,
-  "civilization</w>": 22503,
-  "civilwar</w>": 34524,
-  "ción</w>": 44700,
-  "cj": 15238,
-  "cj</w>": 15205,
-  "ck": 916,
-  "ck</w>": 868,
-  "cke": 25224,
-  "cke</w>": 40989,
-  "cked</w>": 3441,
-  "cken": 25566,
-  "cker": 15509,
-  "cker</w>": 4744,
-  "ckers</w>": 37073,
-  "cket</w>": 5525,
-  "ckett</w>": 33899,
-  "ckey": 15029,
-  "ckey</w>": 3657,
-  "cki": 36916,
-  "cki</w>": 41055,
-  "cking</w>": 4805,
-  "cko</w>": 28818,
-  "cks</w>": 2031,
-  "cky": 26229,
-  "cky</w>": 3083,
-  "cl": 969,
-  "cl</w>": 6482,
-  "cla": 940,
-  "cla</w>": 20636,
-  "clad</w>": 31606,
-  "cladding</w>": 46411,
-  "clai": 29459,
-  "claim": 4290,
-  "claim</w>": 6607,
-  "claimed</w>": 9010,
-  "claiming</w>": 15286,
-  "claims</w>": 6852,
-  "clair": 31441,
-  "clair</w>": 14039,
-  "claire": 20410,
-  "claire</w>": 10460,
-  "clam": 13588,
-  "clam</w>": 32598,
-  "clamation</w>": 21793,
-  "clamp</w>": 41501,
-  "clams</w>": 38849,
-  "clan": 29252,
-  "clan</w>": 14114,
-  "clancy</w>": 37227,
-  "clans</w>": 38279,
-  "clap": 30037,
-  "clap</w>": 25546,
-  "clapham</w>": 43619,
-  "clapton</w>": 37683,
-  "clar": 3617,
-  "clara</w>": 19468,
-  "clare": 18948,
-  "clare</w>": 15927,
-  "claremont</w>": 47789,
-  "clarence</w>": 29320,
-  "clari": 15175,
-  "clarify</w>": 37004,
-  "clarinet</w>": 41178,
-  "clarity</w>": 21323,
-  "clark": 13340,
-  "clark</w>": 7521,
-  "clarke</w>": 11548,
-  "clarkson</w>": 25706,
-  "clas": 32003,
-  "clash": 38367,
-  "clash</w>": 9359,
-  "clashes</w>": 25193,
-  "clasico</w>": 43567,
-  "class": 2876,
-  "class</w>": 1874,
-  "classes</w>": 6919,
-  "classi": 2507,
-  "classic": 9353,
-  "classic</w>": 2713,
-  "classical": 22179,
-  "classical</w>": 11355,
-  "classicalmusic</w>": 27806,
-  "classiccar</w>": 46906,
-  "classiccars</w>": 21064,
-  "classics</w>": 10634,
-  "classification</w>": 26612,
-  "classified</w>": 22056,
-  "classmate</w>": 37090,
-  "classmates</w>": 30062,
-  "classof</w>": 25345,
-  "classroom</w>": 9001,
-  "classrooms</w>": 25768,
-  "classy</w>": 11615,
-  "clau": 7526,
-  "claude</w>": 17461,
-  "claudi": 39439,
-  "claudia</w>": 21893,
-  "claudio</w>": 31230,
-  "claus</w>": 23317,
-  "clause</w>": 26151,
-  "clave</w>": 24111,
-  "claw": 49230,
-  "claw</w>": 19106,
-  "claws</w>": 29161,
-  "clay": 10402,
-  "clay</w>": 8823,
-  "clays</w>": 26128,
-  "clayton": 46445,
-  "clayton</w>": 19413,
-  "clc</w>": 31380,
-  "cle": 1321,
-  "cle</w>": 2537,
-  "clean": 3572,
-  "clean</w>": 3772,
-  "cleaned</w>": 17468,
-  "cleanenergy</w>": 43538,
-  "cleaner</w>": 15619,
-  "cleaners</w>": 33258,
-  "cleaning</w>": 7210,
-  "cleanliness</w>": 47886,
-  "cleans</w>": 40827,
-  "cleanse</w>": 28717,
-  "cleanser</w>": 44170,
-  "cleansing</w>": 25931,
-  "cleanup</w>": 22353,
-  "clear": 4631,
-  "clear</w>": 3143,
-  "clearance</w>": 17959,
-  "cleared</w>": 14880,
-  "clearer</w>": 37031,
-  "clearing</w>": 15481,
-  "clearly</w>": 7767,
-  "clears</w>": 29092,
-  "clearwater</w>": 32124,
-  "cleary</w>": 44342,
-  "cleats</w>": 33486,
-  "cleavage</w>": 44165,
-  "cled</w>": 12827,
-  "clegg</w>": 42915,
-  "clemens</w>": 45896,
-  "clement": 22592,
-  "clement</w>": 24714,
-  "clemente</w>": 42461,
-  "clementine</w>": 47112,
-  "clements</w>": 49175,
-  "clemson": 38170,
-  "clemson</w>": 19537,
-  "clen": 35547,
-  "cleo</w>": 40344,
-  "cleop": 36287,
-  "cleopatra</w>": 41212,
-  "cler": 11828,
-  "clergy</w>": 42635,
-  "cleric</w>": 43748,
-  "clerk</w>": 22230,
-  "clermont</w>": 47529,
-  "cles</w>": 8077,
-  "cleve": 37599,
-  "clevel": 7701,
-  "cleveland": 30716,
-  "cleveland</w>": 8430,
-  "clever": 30977,
-  "clever</w>": 13385,
-  "clg</w>": 47546,
-  "cli": 1503,
-  "clich": 44407,
-  "click": 16676,
-  "click</w>": 3585,
-  "clicked</w>": 29015,
-  "clicking</w>": 26542,
-  "clicks</w>": 31250,
-  "client": 48528,
-  "client</w>": 7467,
-  "clients</w>": 8114,
-  "clif": 13182,
-  "cliff": 23827,
-  "cliff</w>": 10625,
-  "cliffe</w>": 15170,
-  "clifford</w>": 24226,
-  "cliffs</w>": 20953,
-  "clifton</w>": 23878,
-  "climat": 37283,
-  "climate": 7854,
-  "climate</w>": 4589,
-  "climateaction</w>": 31622,
-  "climatechange</w>": 11055,
-  "climates</w>": 46022,
-  "climax</w>": 37033,
-  "climb": 7421,
-  "climb</w>": 10649,
-  "climbed</w>": 22528,
-  "climber</w>": 36910,
-  "climbers</w>": 47648,
-  "climbing</w>": 9877,
-  "climbs</w>": 29098,
-  "clin": 2879,
-  "clinch</w>": 30404,
-  "clinched</w>": 44064,
-  "cline</w>": 37460,
-  "cling": 37068,
-  "cling</w>": 4760,
-  "clinic</w>": 7926,
-  "clinical": 35133,
-  "clinical</w>": 9148,
-  "clinicians</w>": 45866,
-  "clinics</w>": 23330,
-  "clint": 37542,
-  "clint</w>": 21160,
-  "clinton": 34403,
-  "clinton</w>": 5820,
-  "clio</w>": 46889,
-  "clip": 39712,
-  "clip</w>": 9289,
-  "clipped</w>": 45524,
-  "clipper</w>": 42245,
-  "clippers</w>": 23319,
-  "clipping</w>": 47484,
-  "clips</w>": 16594,
-  "clique</w>": 34983,
-  "clive": 36086,
-  "clive</w>": 21509,
-  "cll": 46091,
-  "cllr": 45743,
-  "cllr</w>": 23034,
-  "clo": 1194,
-  "cloak</w>": 36528,
-  "clock": 19878,
-  "clock</w>": 6716,
-  "clocked</w>": 49049,
-  "clocks</w>": 25895,
-  "clockwise</w>": 46150,
-  "clockwork</w>": 42297,
-  "clon": 24477,
-  "clone</w>": 22854,
-  "clones</w>": 48047,
-  "clooney</w>": 33161,
-  "clos</w>": 48821,
-  "close": 10603,
-  "close</w>": 2660,
-  "closed</w>": 4552,
-  "closely</w>": 13478,
-  "closer</w>": 6377,
-  "closes</w>": 11354,
-  "closest</w>": 14975,
-  "closet</w>": 14221,
-  "closeup</w>": 35439,
-  "closing</w>": 7101,
-  "closure</w>": 13249,
-  "closures</w>": 22923,
-  "cloth</w>": 14559,
-  "clothes</w>": 7080,
-  "clothing</w>": 7425,
-  "clou": 4069,
-  "cloud": 12965,
-  "cloud</w>": 3887,
-  "cloudcomputing</w>": 41390,
-  "clouds</w>": 6244,
-  "cloudy</w>": 13106,
-  "clough</w>": 42909,
-  "clover": 39574,
-  "clover</w>": 22812,
-  "clow": 18386,
-  "clown</w>": 15329,
-  "clowns</w>": 30820,
-  "cls</w>": 44251,
-  "clt": 29651,
-  "clt</w>": 24236,
-  "clu": 996,
-  "club": 9642,
-  "club</w>": 1736,
-  "clubbing</w>": 48128,
-  "clubhouse</w>": 26553,
-  "clubs</w>": 9437,
-  "clue</w>": 14994,
-  "clueless</w>": 35350,
-  "clues</w>": 23764,
-  "clusive</w>": 41362,
-  "cluster</w>": 15595,
-  "clusters</w>": 33217,
-  "clut": 28507,
-  "clutch</w>": 13953,
-  "clutter</w>": 40804,
-  "cly": 12037,
-  "clyde": 39557,
-  "clyde</w>": 18469,
-  "cm": 10190,
-  "cm</w>": 3741,
-  "cma": 30554,
-  "cma</w>": 31388,
-  "cmc</w>": 45839,
-  "cmdr</w>": 48250,
-  "cme</w>": 34946,
-  "cmo</w>": 24589,
-  "cmon</w>": 42904,
-  "cmp": 46355,
-  "cms</w>": 22520,
-  "cmt</w>": 42727,
-  "cmu</w>": 43046,
-  "cn": 3886,
-  "cn</w>": 16200,
-  "cna</w>": 48287,
-  "cnbc": 41242,
-  "cnbc</w>": 24371,
-  "cnblue</w>": 36018,
-  "cnc</w>": 20571,
-  "cnet</w>": 47487,
-  "cnews</w>": 24319,
-  "cng</w>": 41496,
-  "cnn": 22405,
-  "cnn</w>": 8259,
-  "cns</w>": 46095,
-  "cny</w>": 31614,
-  "co": 622,
-  "co</w>": 1320,
-  "coa</w>": 29167,
-  "coach": 3275,
-  "coach</w>": 2312,
-  "coached</w>": 30228,
-  "coachella</w>": 20222,
-  "coaches</w>": 6924,
-  "coaching</w>": 7766,
-  "coal": 10227,
-  "coal</w>": 7919,
-  "coalition</w>": 12920,
-  "coast": 6398,
-  "coast</w>": 3720,
-  "coastal": 38246,
-  "coastal</w>": 10852,
-  "coaster</w>": 15944,
-  "coasters</w>": 31548,
-  "coastguard</w>": 40601,
-  "coastline</w>": 27959,
-  "coasts</w>": 42225,
-  "coat": 28869,
-  "coat</w>": 7356,
-  "coated</w>": 23401,
-  "coates</w>": 36899,
-  "coating</w>": 25369,
-  "coatings</w>": 48706,
-  "coats</w>": 18075,
-  "cob": 20140,
-  "cob</w>": 32863,
-  "cobain</w>": 36866,
-  "cobalt</w>": 30896,
-  "cobb</w>": 22719,
-  "cobble": 47894,
-  "cobra</w>": 21574,
-  "coc": 23036,
-  "coc</w>": 39498,
-  "coca</w>": 21197,
-  "cocac": 26393,
-  "cocacola</w>": 31248,
-  "cocaine</w>": 20534,
-  "coch": 18599,
-  "cochran</w>": 48798,
-  "cochrane</w>": 41752,
-  "coco": 11850,
-  "coco</w>": 13316,
-  "cocoa</w>": 18074,
-  "cocon": 8597,
-  "coconut</w>": 9581,
-  "cod": 16132,
-  "cod</w>": 11915,
-  "code": 11582,
-  "code</w>": 3217,
-  "coded</w>": 33703,
-  "coden": 43914,
-  "coder</w>": 41561,
-  "codes</w>": 14566,
-  "codi": 39711,
-  "coding</w>": 12647,
-  "cody": 23222,
-  "cody</w>": 12666,
-  "coe</w>": 15386,
-  "coed</w>": 41028,
-  "coel": 45633,
-  "coer": 41198,
-  "coeur</w>": 44986,
-  "coffe": 2255,
-  "coffee": 12898,
-  "coffee</w>": 2453,
-  "coffees</w>": 41184,
-  "coffey</w>": 48066,
-  "cofficial</w>": 18757,
-  "coffin</w>": 29907,
-  "cog": 26362,
-  "cog</w>": 35960,
-  "cogn": 12210,
-  "cognac</w>": 44361,
-  "cognition</w>": 46825,
-  "cognitive</w>": 16584,
-  "cohe": 20669,
-  "cohen</w>": 13381,
-  "coherent</w>": 48450,
-  "cohort</w>": 22782,
-  "coil</w>": 25307,
-  "coim": 41528,
-  "coin": 14651,
-  "coin</w>": 4170,
-  "coinci": 14015,
-  "coincidence</w>": 19807,
-  "coins</w>": 10530,
-  "coke": 39602,
-  "coke</w>": 14035,
-  "col": 754,
-  "col</w>": 9371,
-  "cola</w>": 15444,
-  "colbert</w>": 31647,
-  "colby</w>": 32068,
-  "colchester</w>": 31715,
-  "cold": 11146,
-  "cold</w>": 3153,
-  "colder</w>": 23859,
-  "coldest</w>": 31438,
-  "coldplay</w>": 27770,
-  "cole": 9305,
-  "cole</w>": 8166,
-  "coleman</w>": 15774,
-  "coles": 40265,
-  "coles</w>": 30398,
-  "coli": 18877,
-  "coli</w>": 15910,
-  "colin": 20989,
-  "colin</w>": 10238,
-  "coliseum</w>": 21836,
-  "coll": 25982,
-  "coll</w>": 23898,
-  "colla": 2929,
-  "collab</w>": 14013,
-  "collabor": 4437,
-  "collaborate</w>": 21271,
-  "collaborated</w>": 42265,
-  "collaborating</w>": 25545,
-  "collaboration</w>": 6642,
-  "collaborations</w>": 36520,
-  "collaborative</w>": 15841,
-  "collaborator</w>": 48186,
-  "collaborators</w>": 45901,
-  "collage</w>": 11258,
-  "collagen</w>": 36120,
-  "collap": 16881,
-  "collapse</w>": 16520,
-  "collapsed</w>": 25037,
-  "collapses</w>": 43601,
-  "collar": 39662,
-  "collar</w>": 13497,
-  "collateral</w>": 44512,
-  "colle": 1801,
-  "colleague</w>": 13067,
-  "colleagues</w>": 8203,
-  "collec": 1733,
-  "collect</w>": 10186,
-  "collected</w>": 11980,
-  "collecti": 18530,
-  "collectible</w>": 25680,
-  "collectibles</w>": 21519,
-  "collecting</w>": 10325,
-  "collection</w>": 2548,
-  "collections</w>": 12760,
-  "collective</w>": 10162,
-  "collectively</w>": 40687,
-  "collector</w>": 13522,
-  "collectors</w>": 20540,
-  "collects</w>": 31576,
-  "colleen</w>": 31020,
-  "college": 13512,
-  "college</w>": 2229,
-  "colleges</w>": 17357,
-  "collegi": 16311,
-  "collegiate</w>": 18068,
-  "colli": 8262,
-  "collide</w>": 27214,
-  "collie</w>": 30611,
-  "collier</w>": 35748,
-  "collin": 24056,
-  "collin</w>": 32116,
-  "colling": 32319,
-  "collingwood</w>": 45873,
-  "collins</w>": 8684,
-  "collision</w>": 15407,
-  "collo": 25115,
-  "colloqui": 37243,
-  "colloquium</w>": 46514,
-  "collu": 25658,
-  "collusion</w>": 33864,
-  "colo": 7300,
-  "colo</w>": 27288,
-  "cologne</w>": 22216,
-  "cology</w>": 19187,
-  "colom": 8987,
-  "colombia</w>": 12901,
-  "colombian</w>": 28701,
-  "colombo</w>": 33207,
-  "colon": 8280,
-  "colon</w>": 29050,
-  "colonel</w>": 22674,
-  "coloni": 22667,
-  "colonial</w>": 16530,
-  "colonialism</w>": 43385,
-  "colonies</w>": 38738,
-  "colony</w>": 18767,
-  "color": 4036,
-  "color</w>": 3140,
-  "colorado": 34580,
-  "colorado</w>": 6742,
-  "colorec": 41171,
-  "colored</w>": 11775,
-  "colorful</w>": 11444,
-  "colori": 28764,
-  "coloring</w>": 17696,
-  "colorized</w>": 46730,
-  "colors</w>": 5389,
-  "colorstv</w>": 28195,
-  "colorway</w>": 44576,
-  "colossal</w>": 40258,
-  "colosse": 48142,
-  "colossus</w>": 34022,
-  "colour": 10240,
-  "colour</w>": 4769,
-  "coloured</w>": 17111,
-  "colourful</w>": 15562,
-  "colouring</w>": 31803,
-  "colours</w>": 7626,
-  "cols</w>": 35726,
-  "colt</w>": 19726,
-  "colton</w>": 32249,
-  "coltrane</w>": 42333,
-  "colts</w>": 16135,
-  "colum": 4164,
-  "columb": 31043,
-  "columbi": 25947,
-  "columbia</w>": 9410,
-  "columbus</w>": 11273,
-  "column</w>": 10593,
-  "columnist</w>": 28958,
-  "columns</w>": 29056,
-  "com": 610,
-  "com</w>": 2464,
-  "coma</w>": 19620,
-  "comb": 3587,
-  "comb</w>": 16380,
-  "combat": 35083,
-  "combat</w>": 9275,
-  "combating</w>": 46121,
-  "combe</w>": 14363,
-  "combin": 25112,
-  "combination</w>": 11312,
-  "combinations</w>": 34950,
-  "combine</w>": 12919,
-  "combined</w>": 10427,
-  "combines</w>": 22991,
-  "combining</w>": 23561,
-  "combo</w>": 10155,
-  "combos</w>": 48117,
-  "combs</w>": 30694,
-  "combu": 35629,
-  "combustion</w>": 44654,
-  "comcast</w>": 30043,
-  "come": 4225,
-  "come</w>": 891,
-  "comeback</w>": 8234,
-  "comedian</w>": 13848,
-  "comedians</w>": 33758,
-  "comedic</w>": 43360,
-  "comedy": 19346,
-  "comedy</w>": 4749,
-  "comer": 42997,
-  "comer</w>": 20916,
-  "comers</w>": 34436,
-  "comes</w>": 2091,
-  "comet</w>": 21405,
-  "comets</w>": 40636,
-  "comey</w>": 22957,
-  "comfor": 6563,
-  "comfort": 44000,
-  "comfort</w>": 7808,
-  "comfortable</w>": 8652,
-  "comfortably</w>": 30392,
-  "comforting</w>": 33835,
-  "comforts</w>": 42243,
-  "comfy</w>": 15736,
-  "comi": 40781,
-  "comic": 7729,
-  "comic</w>": 4962,
-  "comicart</w>": 46018,
-  "comicbook</w>": 46564,
-  "comicbooks</w>": 22018,
-  "comiccon</w>": 18379,
-  "comicon</w>": 43820,
-  "comics</w>": 4256,
-  "comin</w>": 18164,
-  "coming": 14916,
-  "coming</w>": 1171,
-  "comingsoon</w>": 19894,
-  "comm": 965,
-  "comm</w>": 11413,
-  "comman": 39780,
-  "command": 18391,
-  "command</w>": 11350,
-  "commander</w>": 11265,
-  "commanders</w>": 41667,
-  "commanding</w>": 36933,
-  "commandments</w>": 43409,
-  "commando</w>": 31361,
-  "commands</w>": 38163,
-  "comme</w>": 29692,
-  "commemor": 9495,
-  "commemorate</w>": 21242,
-  "commemorates</w>": 45149,
-  "commemorating</w>": 28734,
-  "commemoration</w>": 29288,
-  "commemorative</w>": 24623,
-  "commen": 15795,
-  "commence</w>": 25059,
-  "commenced</w>": 43908,
-  "commencement</w>": 21666,
-  "commences</w>": 48551,
-  "commend": 37555,
-  "commended</w>": 40702,
-  "comment": 20035,
-  "comment</w>": 5761,
-  "commentary</w>": 14146,
-  "commentator</w>": 32016,
-  "commented</w>": 28328,
-  "commenting</w>": 37292,
-  "comments</w>": 6606,
-  "commer": 4028,
-  "commerce</w>": 8333,
-  "commerci": 15601,
-  "commercial": 31802,
-  "commercial</w>": 6287,
-  "commercials</w>": 30724,
-  "commish</w>": 45399,
-  "commissi": 6000,
-  "commission</w>": 5292,
-  "commissioned</w>": 16565,
-  "commissioner</w>": 10221,
-  "commissioners</w>": 30702,
-  "commissioning</w>": 29585,
-  "commissions</w>": 20668,
-  "commit": 3041,
-  "commit</w>": 11797,
-  "commitment</w>": 7770,
-  "commitments</w>": 32136,
-  "commits</w>": 20241,
-  "committed</w>": 7907,
-  "committee</w>": 5636,
-  "committees</w>": 40504,
-  "committing</w>": 21937,
-  "commod": 9496,
-  "commodities</w>": 30350,
-  "commodity</w>": 29041,
-  "commodore</w>": 31129,
-  "common": 8414,
-  "common</w>": 4176,
-  "commonly</w>": 20344,
-  "commons</w>": 16653,
-  "commonwealth</w>": 16569,
-  "comms</w>": 18832,
-  "commu": 9561,
-  "commun": 1515,
-  "communal</w>": 32809,
-  "communi": 16164,
-  "communic": 4784,
-  "communicate</w>": 19809,
-  "communication</w>": 7999,
-  "communications</w>": 10052,
-  "communion</w>": 28579,
-  "communism</w>": 35387,
-  "communist</w>": 18602,
-  "communities</w>": 6361,
-  "community": 14784,
-  "community</w>": 1927,
-  "commute</w>": 15898,
-  "commuter</w>": 27782,
-  "commuters</w>": 30823,
-  "commuting</w>": 43503,
-  "como</w>": 16236,
-  "comp": 2561,
-  "comp</w>": 11679,
-  "compac": 40014,
-  "compact</w>": 13690,
-  "compan": 1995,
-  "companies</w>": 5361,
-  "companion</w>": 14963,
-  "companions</w>": 37124,
-  "company</w>": 2634,
-  "compar": 7580,
-  "comparable</w>": 27092,
-  "comparative</w>": 33388,
-  "compare</w>": 13771,
-  "compared</w>": 10544,
-  "compares</w>": 25104,
-  "comparing</w>": 20564,
-  "comparison</w>": 14186,
-  "comparisons</w>": 40870,
-  "compart": 30072,
-  "compartment</w>": 40383,
-  "compass</w>": 19438,
-  "compassion</w>": 14463,
-  "compassionate</w>": 30193,
-  "compati": 17295,
-  "compatibility</w>": 41614,
-  "compatible</w>": 21286,
-  "compe": 5254,
-  "compelled</w>": 49375,
-  "compelling</w>": 21766,
-  "compen": 42079,
-  "compens": 15172,
-  "compensation</w>": 18663,
-  "compet": 2932,
-  "compete</w>": 10038,
-  "competed</w>": 27767,
-  "competen": 31853,
-  "competence</w>": 31165,
-  "competency</w>": 49293,
-  "competent</w>": 28113,
-  "competes</w>": 39826,
-  "competing</w>": 13068,
-  "competit": 15892,
-  "competiti": 32581,
-  "competition</w>": 3742,
-  "competitions</w>": 23259,
-  "competitive</w>": 10687,
-  "competitiveness</w>": 43209,
-  "competitor</w>": 26633,
-  "competitors</w>": 23638,
-  "compilation</w>": 20446,
-  "compiled</w>": 34579,
-  "compla": 7428,
-  "complain</w>": 19292,
-  "complained</w>": 42029,
-  "complaining</w>": 20812,
-  "complains</w>": 46363,
-  "complaint</w>": 20391,
-  "complaints</w>": 20020,
-  "comple": 1730,
-  "complement</w>": 36624,
-  "complementary</w>": 48953,
-  "complete</w>": 3263,
-  "completed</w>": 5976,
-  "completely</w>": 5989,
-  "completes</w>": 19321,
-  "completing</w>": 14949,
-  "completion</w>": 15915,
-  "complex": 16099,
-  "complex</w>": 6324,
-  "complexes</w>": 47870,
-  "complexion</w>": 47732,
-  "complexity</w>": 24815,
-  "compli": 5270,
-  "compliance</w>": 14658,
-  "compliant</w>": 29893,
-  "complic": 11460,
-  "complicated</w>": 16621,
-  "complications</w>": 29936,
-  "compliment</w>": 25116,
-  "complimentary</w>": 20948,
-  "compliments</w>": 25477,
-  "comply</w>": 36281,
-  "component</w>": 21284,
-  "components</w>": 16816,
-  "compos": 7783,
-  "compose</w>": 43659,
-  "composed</w>": 19916,
-  "composer</w>": 12104,
-  "composers</w>": 33314,
-  "composing</w>": 40412,
-  "composite</w>": 21606,
-  "composites</w>": 45395,
-  "composition</w>": 17510,
-  "compositions</w>": 44652,
-  "compost": 46002,
-  "compost</w>": 33307,
-  "compound</w>": 19980,
-  "compounds</w>": 33991,
-  "compre": 8483,
-  "compreh": 42976,
-  "comprehen": 12050,
-  "comprehend</w>": 48230,
-  "comprehensive</w>": 13854,
-  "compress": 33353,
-  "compressed</w>": 42359,
-  "compression</w>": 25638,
-  "compressor</w>": 39607,
-  "compri": 29445,
-  "compromise</w>": 26611,
-  "compromised</w>": 38576,
-  "compromising</w>": 45436,
-  "comps</w>": 48665,
-  "compton</w>": 28364,
-  "compu": 11639,
-  "compul": 25869,
-  "compulsory</w>": 39345,
-  "computing</w>": 12732,
-  "comra": 25553,
-  "comrade</w>": 30844,
-  "comrades</w>": 29282,
-  "coms</w>": 30493,
-  "con": 616,
-  "con</w>": 2457,
-  "cona</w>": 30605,
-  "conan</w>": 24750,
-  "conce": 9145,
-  "concealed</w>": 35419,
-  "conceded</w>": 37895,
-  "conceived</w>": 39725,
-  "concentr": 11085,
-  "concentrate</w>": 30846,
-  "concentrated</w>": 36776,
-  "concentration</w>": 18565,
-  "concep": 8389,
-  "concepcion</w>": 47035,
-  "concept</w>": 6353,
-  "conceptart</w>": 31162,
-  "conception</w>": 30510,
-  "conceptions</w>": 40307,
-  "concepts</w>": 16763,
-  "conceptu": 42745,
-  "conceptual</w>": 34070,
-  "concer": 2228,
-  "concern</w>": 12928,
-  "concerned</w>": 12020,
-  "concerning</w>": 21772,
-  "concerns</w>": 11134,
-  "concert": 32180,
-  "concert</w>": 3066,
-  "concerto</w>": 24710,
-  "concerts</w>": 14418,
-  "concession</w>": 38117,
-  "concessions</w>": 43981,
-  "concier": 28859,
-  "concierge</w>": 39850,
-  "conclave</w>": 38098,
-  "conclu": 9627,
-  "conclude</w>": 37525,
-  "concluded</w>": 27825,
-  "concludes</w>": 30634,
-  "conclusion</w>": 20932,
-  "conclusions</w>": 39507,
-  "conco": 43034,
-  "concor": 19913,
-  "concord</w>": 26448,
-  "concordia</w>": 35492,
-  "concours</w>": 36282,
-  "concourse</w>": 37793,
-  "concre": 43658,
-  "concrete</w>": 9637,
-  "concussion</w>": 28321,
-  "condem": 13287,
-  "condemn</w>": 27212,
-  "condemned</w>": 35145,
-  "condemns</w>": 32092,
-  "conden": 24816,
-  "conditi": 11170,
-  "condition": 36978,
-  "condition</w>": 7336,
-  "conditional</w>": 24671,
-  "conditioned</w>": 37014,
-  "conditioner</w>": 31239,
-  "conditioning</w>": 18181,
-  "conditions</w>": 5892,
-  "condo</w>": 19952,
-  "condol": 18661,
-  "condolences</w>": 20836,
-  "condom</w>": 39021,
-  "condomin": 42589,
-  "condoms</w>": 37878,
-  "condor</w>": 47643,
-  "condos</w>": 42342,
-  "condu": 40772,
-  "conduc": 5379,
-  "conduct</w>": 11647,
-  "conducted</w>": 13080,
-  "conducting</w>": 16787,
-  "conductor</w>": 22317,
-  "conducts</w>": 32084,
-  "cone": 39279,
-  "cone</w>": 10266,
-  "cones</w>": 26718,
-  "coney</w>": 41837,
-  "conf</w>": 6477,
-  "confe": 1968,
-  "confeder": 17104,
-  "confederate</w>": 24864,
-  "confederation</w>": 43484,
-  "conferen": 37961,
-  "conference</w>": 2230,
-  "conferences</w>": 22811,
-  "conferencing</w>": 47320,
-  "confess</w>": 38860,
-  "confession</w>": 22572,
-  "confessions</w>": 29404,
-  "confetti</w>": 37923,
-  "confi": 5005,
-  "confidence</w>": 8510,
-  "confident</w>": 12365,
-  "confidential</w>": 28712,
-  "configu": 46746,
-  "configur": 26950,
-  "configuration</w>": 33378,
-  "confin": 45316,
-  "confined</w>": 40973,
-  "confir": 3930,
-  "confirm</w>": 12130,
-  "confirmation</w>": 19645,
-  "confirmed</w>": 6346,
-  "confirming</w>": 38433,
-  "confirms</w>": 11803,
-  "confis": 36285,
-  "confit</w>": 42241,
-  "confl": 8173,
-  "conflic": 19029,
-  "conflict</w>": 10397,
-  "conflicting</w>": 43894,
-  "conflicts</w>": 28713,
-  "confor": 40933,
-  "confron": 20033,
-  "confront</w>": 38382,
-  "confrontation</w>": 41478,
-  "confu": 6890,
-  "confuse</w>": 37503,
-  "confused</w>": 10946,
-  "confusing</w>": 24683,
-  "confusion</w>": 20493,
-  "cong</w>": 24407,
-  "conge": 20013,
-  "congestion</w>": 24432,
-  "congo</w>": 20334,
-  "congr": 1227,
-  "congrats</w>": 1887,
-  "congratul": 1750,
-  "congratulate</w>": 16633,
-  "congratulated</w>": 42004,
-  "congratulates</w>": 24580,
-  "congratulating</w>": 30967,
-  "congratulation</w>": 24751,
-  "congratulations</w>": 1864,
-  "congre": 7947,
-  "congreg": 40727,
-  "congregation</w>": 32618,
-  "congress": 12452,
-  "congress</w>": 4599,
-  "congressional</w>": 15239,
-  "congressman</w>": 17145,
-  "congresswoman</w>": 37317,
-  "coni": 39031,
-  "coni</w>": 36651,
-  "conj": 41543,
-  "conju": 33821,
-  "conjunction</w>": 34226,
-  "conley</w>": 44536,
-  "conline</w>": 37593,
-  "conn": 41836,
-  "conn</w>": 20329,
-  "conne": 8437,
-  "connec": 29933,
-  "connect</w>": 19969,
-  "connected</w>": 27506,
-  "connecting</w>": 41429,
-  "connection</w>": 26840,
-  "connections</w>": 37161,
-  "connie</w>": 25739,
-  "connoisse": 46012,
-  "connol": 27739,
-  "connolly</w>": 29537,
-  "connor": 21984,
-  "connor</w>": 10218,
-  "conom": 2664,
-  "conomy</w>": 22529,
-  "conor": 29955,
-  "conor</w>": 19478,
-  "conqu": 13382,
-  "conquer": 38585,
-  "conquer</w>": 19821,
-  "conquered</w>": 27099,
-  "conquering</w>": 43778,
-  "conquest</w>": 35367,
-  "conrad</w>": 22073,
-  "cons</w>": 10311,
-  "consci": 9427,
-  "conscience</w>": 27310,
-  "conscious</w>": 14914,
-  "consciously</w>": 46755,
-  "consciousness</w>": 17894,
-  "conse": 34887,
-  "consecu": 12084,
-  "consecutive</w>": 12413,
-  "consen": 23110,
-  "consensus</w>": 25071,
-  "consent</w>": 21922,
-  "consequ": 13003,
-  "consequence</w>": 42262,
-  "consequences</w>": 15682,
-  "conserv": 4649,
-  "conservancy</w>": 46729,
-  "conservation": 37616,
-  "conservation</w>": 8322,
-  "conservative</w>": 11421,
-  "conservatives</w>": 17631,
-  "conservatory</w>": 32140,
-  "conserve</w>": 34231,
-  "consi": 2899,
-  "consider": 12471,
-  "consider</w>": 6734,
-  "considerable</w>": 38256,
-  "considerably</w>": 38510,
-  "consideration</w>": 24310,
-  "considerations</w>": 33700,
-  "considered</w>": 9487,
-  "considering</w>": 10761,
-  "considers</w>": 24691,
-  "consist": 10410,
-  "consist</w>": 33735,
-  "consisted</w>": 49354,
-  "consistency</w>": 25683,
-  "consistent</w>": 16439,
-  "consistently</w>": 23799,
-  "consisting</w>": 39241,
-  "consists</w>": 23458,
-  "consol": 27869,
-  "consolation</w>": 38888,
-  "console</w>": 13403,
-  "consoles</w>": 33136,
-  "consoli": 21586,
-  "consolidation</w>": 41111,
-  "consor": 27108,
-  "consortium</w>": 29988,
-  "conspir": 12680,
-  "conspiracy</w>": 15236,
-  "const": 3826,
-  "constable</w>": 29179,
-  "constan": 38718,
-  "constance</w>": 40682,
-  "constant": 32000,
-  "constant</w>": 13111,
-  "constantine</w>": 30640,
-  "constantly</w>": 14336,
-  "constell": 21913,
-  "constellation</w>": 25991,
-  "constitu": 6299,
-  "constituency</w>": 22464,
-  "constituents</w>": 32075,
-  "constitution</w>": 12157,
-  "constitutional</w>": 16091,
-  "constra": 28973,
-  "constraints</w>": 41910,
-  "constru": 3983,
-  "construc": 13321,
-  "construct</w>": 24467,
-  "constructed</w>": 16876,
-  "constructing</w>": 33653,
-  "construction": 48873,
-  "construction</w>": 4585,
-  "constructive</w>": 31810,
-  "consu": 4689,
-  "consul": 5295,
-  "consul</w>": 33630,
-  "consulate</w>": 34341,
-  "consult": 9438,
-  "consult</w>": 26727,
-  "consultancy</w>": 31735,
-  "consultant</w>": 14196,
-  "consultants</w>": 27203,
-  "consultation</w>": 15777,
-  "consultations</w>": 43424,
-  "consulting</w>": 15883,
-  "consume</w>": 28919,
-  "consumed</w>": 29653,
-  "consumer": 34408,
-  "consumer</w>": 10422,
-  "consumers</w>": 14014,
-  "consuming</w>": 30607,
-  "consumption</w>": 14904,
-  "cont": 2036,
-  "cont</w>": 21425,
-  "contact": 39367,
-  "contact</w>": 3523,
-  "contacted</w>": 37331,
-  "contacts</w>": 22789,
-  "contag": 29259,
-  "contagious</w>": 33984,
-  "contain": 9948,
-  "contain</w>": 15187,
-  "contained</w>": 23836,
-  "container</w>": 14913,
-  "containers</w>": 20448,
-  "containing</w>": 20281,
-  "contains</w>": 12844,
-  "contamin": 24662,
-  "contaminated</w>": 35773,
-  "contamination</w>": 31770,
-  "conte": 15402,
-  "conte</w>": 26882,
-  "contempl": 21924,
-  "contemplating</w>": 33854,
-  "contempor": 14538,
-  "contemporary": 16607,
-  "contemporary</w>": 8859,
-  "contemporaryart</w>": 20212,
-  "contempt</w>": 39293,
-  "conten": 42201,
-  "contender</w>": 23573,
-  "contenders</w>": 29711,
-  "content": 15526,
-  "content</w>": 4750,
-  "contentmarketing</w>": 20429,
-  "contents</w>": 14850,
-  "contest": 23103,
-  "contest</w>": 4576,
-  "contestalert</w>": 27313,
-  "contestant</w>": 25682,
-  "contestants</w>": 28062,
-  "contested</w>": 37845,
-  "contests</w>": 32210,
-  "contex": 42015,
-  "context</w>": 13089,
-  "conti": 46431,
-  "conti</w>": 40842,
-  "contin": 1918,
-  "continent</w>": 19623,
-  "continental</w>": 14089,
-  "continents</w>": 38642,
-  "conting": 27104,
-  "contingent</w>": 36467,
-  "continu": 4688,
-  "continually</w>": 34086,
-  "continuation</w>": 38964,
-  "continue</w>": 3942,
-  "continued</w>": 10150,
-  "continues</w>": 4305,
-  "continuing</w>": 11009,
-  "continuity</w>": 34035,
-  "continuous</w>": 17033,
-  "continuously</w>": 29634,
-  "continuum</w>": 44978,
-  "contour</w>": 34733,
-  "contr": 22871,
-  "contra": 9880,
-  "contra</w>": 38620,
-  "contrac": 7581,
-  "contracep": 35109,
-  "contract</w>": 6120,
-  "contracting</w>": 39091,
-  "contractor</w>": 21429,
-  "contractors</w>": 22427,
-  "contracts</w>": 16563,
-  "contradic": 27957,
-  "contrary</w>": 32805,
-  "contrast</w>": 18501,
-  "contrasting</w>": 40758,
-  "contribu": 4753,
-  "contribute</w>": 14112,
-  "contributed</w>": 19397,
-  "contributes</w>": 34203,
-  "contributing</w>": 21762,
-  "contribution</w>": 11116,
-  "contributions</w>": 14465,
-  "contributor</w>": 24553,
-  "contributors</w>": 32908,
-  "contro": 2372,
-  "control": 9963,
-  "control</w>": 3366,
-  "controlled</w>": 14140,
-  "controller</w>": 12929,
-  "controllers</w>": 30374,
-  "controlling</w>": 26427,
-  "controls</w>": 15746,
-  "controversi": 13674,
-  "controversial</w>": 14617,
-  "controversy</w>": 18659,
-  "conv</w>": 48382,
-  "conve": 18421,
-  "conven": 7283,
-  "conveni": 33278,
-  "convenience</w>": 17859,
-  "convenient</w>": 18978,
-  "conveniently</w>": 40844,
-  "convention</w>": 6752,
-  "conventional</w>": 20835,
-  "conventions</w>": 41404,
-  "conver": 6336,
-  "convergence</w>": 35381,
-  "convers": 4577,
-  "conversation</w>": 5690,
-  "conversations</w>": 12326,
-  "converse</w>": 24149,
-  "conversion</w>": 15111,
-  "conversions</w>": 44137,
-  "convert</w>": 20074,
-  "converted</w>": 20808,
-  "converter</w>": 34611,
-  "convertible</w>": 19608,
-  "converting</w>": 34674,
-  "converts</w>": 42470,
-  "convey</w>": 38342,
-  "convic": 11150,
-  "convicted</w>": 18668,
-  "conviction</w>": 24967,
-  "convictions</w>": 44366,
-  "convin": 12889,
-  "convince</w>": 20351,
-  "convinced</w>": 17388,
-  "convincing</w>": 27742,
-  "convo</w>": 19372,
-  "convocation</w>": 30674,
-  "convos</w>": 44842,
-  "convoy</w>": 30292,
-  "conway</w>": 21410,
-  "conwy</w>": 48971,
-  "cony</w>": 14501,
-  "coo": 1664,
-  "coo</w>": 21691,
-  "coogs</w>": 47624,
-  "cook": 9726,
-  "cook</w>": 5977,
-  "cookbook</w>": 21086,
-  "cooke</w>": 29979,
-  "cooked</w>": 11452,
-  "cooker</w>": 23806,
-  "cookery</w>": 38779,
-  "cookie</w>": 9367,
-  "cookies</w>": 8320,
-  "cookin</w>": 46610,
-  "cooking": 39248,
-  "cooking</w>": 6283,
-  "cookout</w>": 39743,
-  "cooks</w>": 24256,
-  "cool": 5594,
-  "cool</w>": 2077,
-  "cooled</w>": 37170,
-  "cooler</w>": 11078,
-  "coolest</w>": 10566,
-  "cooling</w>": 15291,
-  "coom": 41726,
-  "coon": 34260,
-  "coon</w>": 16958,
-  "coop": 39917,
-  "coop</w>": 18910,
-  "cooper": 7264,
-  "cooper</w>": 8133,
-  "cooperate</w>": 42936,
-  "cooperation</w>": 11785,
-  "cooperative</w>": 24517,
-  "coops</w>": 48531,
-  "coordin": 8187,
-  "coordinate</w>": 38250,
-  "coordinated</w>": 32540,
-  "coordinating</w>": 40075,
-  "coordination</w>": 25611,
-  "coordinator</w>": 13967,
-  "coors</w>": 36025,
-  "cop": 3196,
-  "cop</w>": 7070,
-  "copa</w>": 22749,
-  "copd</w>": 45876,
-  "cope": 47635,
-  "cope</w>": 12564,
-  "copeland</w>": 37604,
-  "copen": 15637,
-  "copenhagen</w>": 17390,
-  "coper": 41891,
-  "copernic": 45519,
-  "copied</w>": 36770,
-  "copies</w>": 9851,
-  "coping</w>": 30545,
-  "copolitics</w>": 45846,
-  "copp": 20937,
-  "copped</w>": 42229,
-  "copper": 24741,
-  "copper</w>": 10333,
-  "coppola</w>": 47427,
-  "cops</w>": 10719,
-  "copter</w>": 28049,
-  "copy": 11376,
-  "copy</w>": 4509,
-  "copying</w>": 38925,
-  "copyright</w>": 15778,
-  "cor": 851,
-  "cor</w>": 18559,
-  "cora</w>": 34953,
-  "coral": 31220,
-  "coral</w>": 12054,
-  "corbett</w>": 35699,
-  "corbin</w>": 35578,
-  "corbyn</w>": 14026,
-  "cord": 40893,
-  "cord</w>": 11181,
-  "corden</w>": 41999,
-  "cordi": 41681,
-  "cordless</w>": 44412,
-  "cords</w>": 22164,
-  "core": 19622,
-  "core</w>": 5000,
-  "cores</w>": 37874,
-  "corey": 31279,
-  "corey</w>": 15288,
-  "corgi</w>": 31320,
-  "cori": 26508,
-  "coriander</w>": 37491,
-  "corin": 17716,
-  "corinthians</w>": 34471,
-  "cork": 18148,
-  "cork</w>": 10376,
-  "corn": 5202,
-  "corn</w>": 5894,
-  "cornelius</w>": 45865,
-  "cornell": 38689,
-  "cornell</w>": 20859,
-  "corner": 18509,
-  "corner</w>": 5253,
-  "corners</w>": 19584,
-  "cornerstone</w>": 36280,
-  "cornish</w>": 23774,
-  "cornwall": 37903,
-  "cornwall</w>": 10777,
-  "coron": 13210,
-  "corona</w>": 25564,
-  "coronado</w>": 43946,
-  "coronary</w>": 45955,
-  "coronation</w>": 25014,
-  "coroner</w>": 47241,
-  "corp": 29203,
-  "corp</w>": 10918,
-  "corpor": 4258,
-  "corporal</w>": 42445,
-  "corporate": 33877,
-  "corporate</w>": 6838,
-  "corporation</w>": 11282,
-  "corporations</w>": 25482,
-  "corps</w>": 11330,
-  "corpse</w>": 29408,
-  "corpus</w>": 31672,
-  "correc": 5011,
-  "correct</w>": 8340,
-  "corrected</w>": 35628,
-  "correction</w>": 20843,
-  "correctional</w>": 38030,
-  "corrections</w>": 37507,
-  "correctly</w>": 15359,
-  "correlation</w>": 29218,
-  "correspon": 20203,
-  "correspondent</w>": 29996,
-  "corri": 12974,
-  "corridor</w>": 20592,
-  "corrie</w>": 23961,
-  "corro": 24936,
-  "corro</w>": 42033,
-  "corrosion</w>": 39191,
-  "corru": 6501,
-  "corrup": 30429,
-  "corrupt</w>": 15194,
-  "corruption</w>": 9141,
-  "corsa</w>": 47670,
-  "corsair</w>": 42367,
-  "corset</w>": 40408,
-  "cortex</w>": 40109,
-  "cortez</w>": 30461,
-  "corvette</w>": 24367,
-  "cory": 23221,
-  "cory</w>": 18329,
-  "cos": 5865,
-  "cos</w>": 5700,
-  "cosby</w>": 30324,
-  "cosc": 45944,
-  "coscino</w>": 47909,
-  "cose</w>": 26495,
-  "cosm": 37486,
-  "cosme": 9628,
-  "cosmetic</w>": 23918,
-  "cosmetics</w>": 12896,
-  "cosmic": 47398,
-  "cosmic</w>": 18304,
-  "cosmo": 12829,
-  "cosmo</w>": 32072,
-  "cosmopolitan</w>": 35518,
-  "cosmos</w>": 22151,
-  "cospla": 15149,
-  "cosplay": 42401,
-  "cosplay</w>": 6435,
-  "cosplayer</w>": 30215,
-  "cosplaying</w>": 46701,
-  "cost": 11360,
-  "cost</w>": 4713,
-  "costa</w>": 10480,
-  "costar": 28659,
-  "costarica</w>": 31272,
-  "costco</w>": 31045,
-  "costello</w>": 30667,
-  "costing</w>": 39193,
-  "costly</w>": 30170,
-  "costs</w>": 7628,
-  "costu": 5786,
-  "costume</w>": 7235,
-  "costumes</w>": 15150,
-  "cosy</w>": 22848,
-  "cot": 4718,
-  "cot</w>": 5871,
-  "cote": 44234,
-  "cote</w>": 20751,
-  "cotland</w>": 32576,
-  "cotsw": 23303,
-  "cotswolds</w>": 35546,
-  "cott": 8211,
-  "cott</w>": 11349,
-  "cottage</w>": 12155,
-  "cottages</w>": 34405,
-  "cotton": 22218,
-  "cotton</w>": 7050,
-  "cou": 1368,
-  "couch</w>": 12724,
-  "cougar": 35028,
-  "cougar</w>": 27042,
-  "cougars</w>": 20425,
-  "cough": 35631,
-  "cough</w>": 18498,
-  "cougs</w>": 28482,
-  "coul": 22483,
-  "could": 44812,
-  "could</w>": 1510,
-  "couldn</w>": 4072,
-  "couldnt</w>": 29042,
-  "coulter</w>": 42291,
-  "coun": 939,
-  "counc": 12927,
-  "council": 18187,
-  "council</w>": 3620,
-  "councill": 15732,
-  "councillor</w>": 21179,
-  "councillors</w>": 29695,
-  "councilman</w>": 40833,
-  "councils</w>": 29938,
-  "counsel": 13780,
-  "counsel</w>": 19814,
-  "counseling</w>": 25000,
-  "counsell": 47510,
-  "counselling</w>": 40581,
-  "counselor</w>": 26148,
-  "counselors</w>": 38688,
-  "count": 6073,
-  "count</w>": 5887,
-  "countdown": 39559,
-  "countdown</w>": 7500,
-  "counted</w>": 23149,
-  "counter": 10134,
-  "counter</w>": 7352,
-  "counterfe": 33067,
-  "counterfeit</w>": 44242,
-  "counterpart</w>": 39216,
-  "counterparts</w>": 42106,
-  "counters</w>": 46170,
-  "countess</w>": 46276,
-  "counties</w>": 12338,
-  "counting</w>": 9723,
-  "countless</w>": 21819,
-  "countries</w>": 5489,
-  "country": 7896,
-  "country</w>": 2157,
-  "countryfile</w>": 47023,
-  "countrymusic</w>": 30372,
-  "countryside</w>": 16303,
-  "counts</w>": 12264,
-  "county": 18734,
-  "county</w>": 2116,
-  "coup": 9871,
-  "coup</w>": 16479,
-  "coupe</w>": 16773,
-  "couple": 40136,
-  "couple</w>": 3377,
-  "coupled</w>": 37153,
-  "couples</w>": 14752,
-  "coupling</w>": 45595,
-  "coupon</w>": 14019,
-  "coupons</w>": 23945,
-  "cour": 1391,
-  "coura": 4436,
-  "courage</w>": 9828,
-  "courageous</w>": 25005,
-  "courier</w>": 27217,
-  "cours</w>": 21493,
-  "course": 43225,
-  "course</w>": 2613,
-  "courses</w>": 9464,
-  "court": 16837,
-  "court</w>": 2908,
-  "courte": 5088,
-  "courtesy</w>": 5228,
-  "courthouse</w>": 22205,
-  "courtney": 33601,
-  "courtney</w>": 15990,
-  "courtroom</w>": 41071,
-  "courts</w>": 13514,
-  "courty": 20121,
-  "courtyard</w>": 21900,
-  "cous</w>": 48397,
-  "cousin</w>": 7780,
-  "cousins</w>": 14073,
-  "cout": 29118,
-  "coutinho</w>": 35530,
-  "couture</w>": 14808,
-  "cov": 19384,
-  "cov</w>": 48385,
-  "cove": 21700,
-  "cove</w>": 14708,
-  "coven": 12483,
-  "covenant</w>": 29647,
-  "coventry</w>": 18007,
-  "cover": 13534,
-  "cover</w>": 2202,
-  "coverage</w>": 6810,
-  "covered</w>": 5603,
-  "covering</w>": 9462,
-  "covers</w>": 7745,
-  "covert</w>": 40134,
-  "coveted</w>": 36119,
-  "covington</w>": 43196,
-  "cow": 5076,
-  "cow</w>": 9706,
-  "cowan</w>": 42699,
-  "coward</w>": 33729,
-  "cowards</w>": 48972,
-  "cowboy": 25833,
-  "cowboy</w>": 13657,
-  "cowboys</w>": 11864,
-  "cowboysnation</w>": 43082,
-  "cowell</w>": 39015,
-  "cowgirl</w>": 47090,
-  "coworker</w>": 30727,
-  "coworkers</w>": 30821,
-  "coworking</w>": 36034,
-  "cows</w>": 15204,
-  "cowx</w>": 23831,
-  "cox": 25784,
-  "cox</w>": 11597,
-  "coy": 12765,
-  "coy</w>": 15742,
-  "coyi</w>": 48407,
-  "coyle</w>": 45348,
-  "coyne</w>": 44729,
-  "coyo": 16614,
-  "coyote</w>": 26586,
-  "coyotes</w>": 30423,
-  "coys</w>": 19736,
-  "coz": 39922,
-  "coz</w>": 14282,
-  "cozy</w>": 14873,
-  "cp": 7905,
-  "cp</w>": 9130,
-  "cpa</w>": 30095,
-  "cpac</w>": 45731,
-  "cpc</w>": 26125,
-  "cpd</w>": 23402,
-  "cpec</w>": 48007,
-  "cpfc</w>": 27553,
-  "cpi</w>": 41795,
-  "cpl</w>": 26852,
-  "cpr</w>": 25134,
-  "cps</w>": 27078,
-  "cpt</w>": 32892,
-  "cpu</w>": 27700,
-  "cq": 48910,
-  "cq</w>": 48417,
-  "cr": 1075,
-  "cr</w>": 3483,
-  "cra": 1184,
-  "cra</w>": 18362,
-  "crab": 27382,
-  "crab</w>": 11574,
-  "crabs</w>": 30908,
-  "crack": 11222,
-  "crack</w>": 10334,
-  "crackdown</w>": 29527,
-  "cracked</w>": 19826,
-  "cracker</w>": 16298,
-  "crackers</w>": 26200,
-  "cracking</w>": 13008,
-  "cracks</w>": 21426,
-  "cracy</w>": 24749,
-  "cradle</w>": 29384,
-  "crae</w>": 40438,
-  "craf": 10873,
-  "craft": 7717,
-  "craft</w>": 3588,
-  "craftbeer</w>": 12371,
-  "crafted</w>": 12424,
-  "crafthour</w>": 42324,
-  "crafting</w>": 26886,
-  "crafts": 33276,
-  "crafts</w>": 13383,
-  "craftsman</w>": 39528,
-  "craftsmanship</w>": 36682,
-  "crafty</w>": 32317,
-  "craic</w>": 46962,
-  "craig": 14042,
-  "craig</w>": 8061,
-  "craigslist</w>": 43865,
-  "cram": 29809,
-  "cramer</w>": 44592,
-  "cramps</w>": 46106,
-  "cran": 7761,
-  "cranberries</w>": 49361,
-  "cranberry</w>": 23824,
-  "crane</w>": 14626,
-  "cranes</w>": 26979,
-  "crani": 45674,
-  "crank": 46246,
-  "crank</w>": 32283,
-  "cranston</w>": 44340,
-  "crap</w>": 11899,
-  "crappy</w>": 30475,
-  "crash": 37150,
-  "crash</w>": 5033,
-  "crashed</w>": 16638,
-  "crashes</w>": 17013,
-  "crashing</w>": 24991,
-  "crat</w>": 46696,
-  "crate</w>": 24756,
-  "crater</w>": 22663,
-  "crates</w>": 30172,
-  "cratic</w>": 32175,
-  "crative</w>": 39999,
-  "crats</w>": 43056,
-  "crave</w>": 33397,
-  "craven</w>": 33625,
-  "craving</w>": 18344,
-  "cravings</w>": 34476,
-  "craw": 7400,
-  "crawfish</w>": 42772,
-  "crawford</w>": 15918,
-  "crawl</w>": 20106,
-  "crawler</w>": 41012,
-  "crawley</w>": 42316,
-  "crawling</w>": 37066,
-  "cray": 24184,
-  "cray</w>": 27032,
-  "crayon</w>": 41801,
-  "crayons</w>": 43508,
-  "craz": 25776,
-  "craze</w>": 30637,
-  "craziest</w>": 32690,
-  "craziness</w>": 46436,
-  "crazy": 17540,
-  "crazy</w>": 3578,
-  "crc</w>": 25618,
-  "cre": 798,
-  "cre</w>": 17762,
-  "cream": 23184,
-  "cream</w>": 3867,
-  "creams</w>": 41447,
-  "creamy</w>": 17206,
-  "crease</w>": 48441,
-  "create": 30949,
-  "create</w>": 3380,
-  "created</w>": 4080,
-  "creates</w>": 10361,
-  "creati": 6714,
-  "creating</w>": 5524,
-  "creation": 38293,
-  "creation</w>": 6900,
-  "creations</w>": 17411,
-  "creative": 15237,
-  "creative</w>": 4450,
-  "creatives</w>": 29352,
-  "creativity</w>": 9636,
-  "creator</w>": 10173,
-  "creators</w>": 17981,
-  "creature</w>": 14317,
-  "creatures</w>": 13938,
-  "cred": 7314,
-  "cred</w>": 22377,
-  "credenti": 29487,
-  "credentials</w>": 33422,
-  "credi": 21097,
-  "credibility</w>": 34984,
-  "credible</w>": 32983,
-  "credit": 21467,
-  "credit</w>": 3900,
-  "credited</w>": 32480,
-  "credits</w>": 10654,
-  "creds</w>": 43462,
-  "cree": 33961,
-  "cree</w>": 36014,
-  "creed</w>": 18845,
-  "creek": 26120,
-  "creek</w>": 5526,
-  "creep": 8153,
-  "creep</w>": 26084,
-  "creeper</w>": 38662,
-  "creeping</w>": 29697,
-  "creeps</w>": 45135,
-  "creepy</w>": 11943,
-  "creighton</w>": 42823,
-  "creme</w>": 22681,
-  "creole</w>": 45632,
-  "crepe</w>": 38611,
-  "crescent</w>": 18211,
-  "cress</w>": 39124,
-  "crest": 35985,
-  "crest</w>": 15760,
-  "crested</w>": 36656,
-  "crete</w>": 8584,
-  "crew": 21560,
-  "crew</w>": 3462,
-  "crewe</w>": 43284,
-  "crews</w>": 10463,
-  "cri": 1621,
-  "cri</w>": 38962,
-  "crib</w>": 23271,
-  "cric": 4328,
-  "cricke": 19098,
-  "cricket": 21859,
-  "cricket</w>": 5373,
-  "cricketer</w>": 28439,
-  "cricketers</w>": 43986,
-  "cried</w>": 15290,
-  "cries</w>": 19769,
-  "crime": 13872,
-  "crime</w>": 4896,
-  "crimea</w>": 28614,
-  "crimes</w>": 11827,
-  "crimin": 5874,
-  "criminal": 30197,
-  "criminal</w>": 8255,
-  "criminals</w>": 18783,
-  "crimson</w>": 19437,
-  "cringe</w>": 42588,
-  "cripp": 33588,
-  "cris</w>": 37818,
-  "crises</w>": 36403,
-  "crisis</w>": 5712,
-  "crisp</w>": 15145,
-  "crispr</w>": 39784,
-  "crisps</w>": 35744,
-  "crispy</w>": 16458,
-  "criss</w>": 29708,
-  "cristi": 12699,
-  "cristian</w>": 48808,
-  "cristiano</w>": 14807,
-  "cristina</w>": 33395,
-  "cristo</w>": 38315,
-  "crit": 3613,
-  "crit</w>": 48130,
-  "criteri": 33627,
-  "criteria</w>": 24849,
-  "criterion</w>": 43841,
-  "criti": 25333,
-  "critic": 12417,
-  "critic</w>": 19361,
-  "critical": 15314,
-  "critical</w>": 6808,
-  "critically</w>": 21570,
-  "criticalrole": 33606,
-  "criticalrole</w>": 22742,
-  "criticalrolefanart</w>": 43663,
-  "critici": 20333,
-  "criticism</w>": 17405,
-  "criticize</w>": 46081,
-  "criticized</w>": 41557,
-  "critics</w>": 16946,
-  "critique</w>": 32982,
-  "critters</w>": 35423,
-  "crm</w>": 22610,
-  "cro": 1192,
-  "cro</w>": 22522,
-  "croati": 28072,
-  "croatia</w>": 13323,
-  "croatian</w>": 34795,
-  "croc</w>": 43350,
-  "croche": 35352,
-  "crochet</w>": 17554,
-  "crock": 41685,
-  "crocker</w>": 47843,
-  "crockett</w>": 48313,
-  "crocod": 24519,
-  "crocodile</w>": 24757,
-  "crocs</w>": 38988,
-  "croft</w>": 16657,
-  "croissant</w>": 46011,
-  "croix</w>": 44735,
-  "crom": 25082,
-  "crombie</w>": 46162,
-  "cromwell</w>": 45345,
-  "cron": 17361,
-  "croo": 16443,
-  "crook</w>": 43744,
-  "crooked": 48473,
-  "crooked</w>": 25644,
-  "crooks</w>": 44226,
-  "crop": 40751,
-  "crop</w>": 9955,
-  "cropped</w>": 31139,
-  "crops</w>": 16290,
-  "crore</w>": 18274,
-  "crores</w>": 37281,
-  "cros": 16670,
-  "crosby</w>": 21095,
-  "cross": 5266,
-  "cross</w>": 3417,
-  "crossed</w>": 11731,
-  "crosses</w>": 20473,
-  "crossfit": 47214,
-  "crossfit</w>": 20395,
-  "crossing</w>": 8673,
-  "crossings</w>": 43517,
-  "crossover</w>": 17194,
-  "crossroads</w>": 27427,
-  "crossword</w>": 32945,
-  "crou": 31206,
-  "crouch</w>": 36506,
-  "crow": 3138,
-  "crow</w>": 16019,
-  "crowd": 12036,
-  "crowd</w>": 4570,
-  "crowded</w>": 20182,
-  "crowdfunding</w>": 17971,
-  "crowds</w>": 16092,
-  "crowe</w>": 33560,
-  "crowley</w>": 32287,
-  "crown": 22190,
-  "crown</w>": 6902,
-  "crowned</w>": 16109,
-  "crowns</w>": 33229,
-  "crows</w>": 27134,
-  "croy": 21676,
-  "croydon</w>": 27116,
-  "crs</w>": 28449,
-  "crt</w>": 43877,
-  "cru": 1815,
-  "cru</w>": 29788,
-  "cruci": 18499,
-  "crucial</w>": 12396,
-  "crude</w>": 20677,
-  "cruel": 16073,
-  "cruel</w>": 17573,
-  "cruelty</w>": 20675,
-  "cruis": 27721,
-  "cruise": 36425,
-  "cruise</w>": 6764,
-  "cruiser</w>": 21394,
-  "cruises</w>": 19214,
-  "cruising</w>": 19743,
-  "crum": 43268,
-  "crumb": 48327,
-  "crumb</w>": 39909,
-  "crumble</w>": 36595,
-  "crumbs</w>": 35893,
-  "crun": 17407,
-  "crunch</w>": 16620,
-  "crunchy</w>": 31366,
-  "crusad": 19133,
-  "crusade</w>": 36846,
-  "crusader</w>": 40171,
-  "crusaders</w>": 31319,
-  "crush": 22296,
-  "crush</w>": 7610,
-  "crushed</w>": 18270,
-  "crusher</w>": 44923,
-  "crushes</w>": 35844,
-  "crushing</w>": 20790,
-  "crust</w>": 23136,
-  "crusted</w>": 37314,
-  "cruz": 33689,
-  "cruz</w>": 8403,
-  "cry": 2837,
-  "cry</w>": 6290,
-  "crying</w>": 6828,
-  "cryo": 32215,
-  "cryp": 4865,
-  "crypt</w>": 37814,
-  "cryptic</w>": 46925,
-  "crypto": 8080,
-  "crypto</w>": 9608,
-  "cryptocurrencies</w>": 33329,
-  "cryptocurrency</w>": 12070,
-  "cryst": 15891,
-  "crystal": 17387,
-  "crystal</w>": 6517,
-  "crystalli": 47551,
-  "crystals</w>": 18350,
-  "cs": 11978,
-  "cs</w>": 2804,
-  "csa</w>": 26355,
-  "csc": 41727,
-  "csc</w>": 37266,
-  "csd</w>": 36913,
-  "cse</w>": 41659,
-  "csg</w>": 47085,
-  "csgo</w>": 28928,
-  "csi": 41750,
-  "csi</w>": 28070,
-  "csk</w>": 43036,
-  "csm</w>": 40061,
-  "csn</w>": 46329,
-  "cso</w>": 43864,
-  "csp</w>": 39243,
-  "csr": 32105,
-  "csr</w>": 24598,
-  "csrracing</w>": 44193,
-  "css": 41418,
-  "css</w>": 19846,
-  "cst</w>": 17016,
-  "csu": 35948,
-  "csu</w>": 31261,
-  "csw</w>": 41031,
-  "ct": 3381,
-  "ct</w>": 1122,
-  "cta</w>": 28397,
-  "ctar</w>": 27842,
-  "ctc</w>": 34123,
-  "cte</w>": 31410,
-  "cted</w>": 2910,
-  "ctf</w>": 35250,
-  "cthulhu</w>": 41064,
-  "cting</w>": 7985,
-  "ction": 17578,
-  "ction</w>": 1569,
-  "ctions</w>": 7021,
-  "ctive</w>": 9313,
-  "cto</w>": 17445,
-  "ctor</w>": 8108,
-  "ctr": 35602,
-  "ctr</w>": 18481,
-  "cts</w>": 6936,
-  "ctto</w>": 25118,
-  "ctu": 20834,
-  "cture</w>": 17668,
-  "ctv": 21213,
-  "ctv</w>": 27590,
-  "cu": 729,
-  "cu</w>": 11224,
-  "cuando</w>": 40388,
-  "cub": 16938,
-  "cub</w>": 19972,
-  "cuba</w>": 11576,
-  "cuban</w>": 15536,
-  "cube": 47753,
-  "cube</w>": 11353,
-  "cubes</w>": 31413,
-  "cubic": 48159,
-  "cubic</w>": 29614,
-  "cubs</w>": 9858,
-  "cuck": 26364,
-  "cuckoo</w>": 38062,
-  "cucu": 16705,
-  "cucumber</w>": 19787,
-  "cucumbers</w>": 48065,
-  "cud": 42684,
-  "cudd": 12820,
-  "cuddle</w>": 19568,
-  "cuddles</w>": 24001,
-  "cuddling</w>": 29696,
-  "cuddly</w>": 36208,
-  "cudi</w>": 48713,
-  "cue</w>": 13424,
-  "cuer": 39506,
-  "cues</w>": 35719,
-  "cuff": 34693,
-  "cuff</w>": 22414,
-  "cufflinks</w>": 43938,
-  "cuffs</w>": 37221,
-  "cuis": 9938,
-  "cuisine</w>": 10605,
-  "cuk</w>": 34838,
-  "cul": 1877,
-  "cula</w>": 35935,
-  "cular</w>": 10940,
-  "culars</w>": 45719,
-  "cule</w>": 31066,
-  "cules</w>": 18984,
-  "culin": 14772,
-  "culinary</w>": 16466,
-  "cull": 21880,
-  "cull</w>": 42061,
-  "cullen</w>": 25973,
-  "culmin": 33778,
-  "culo": 36305,
-  "culprit</w>": 41593,
-  "cult</w>": 11965,
-  "cultiv": 16781,
-  "cultivate</w>": 42983,
-  "cultivated</w>": 48901,
-  "cultivation</w>": 41539,
-  "cultur": 20780,
-  "cultural": 34908,
-  "cultural</w>": 6753,
-  "culturally</w>": 36783,
-  "culture": 20197,
-  "culture</w>": 3673,
-  "cultured</w>": 40176,
-  "cultures</w>": 19552,
-  "culver</w>": 42103,
-  "cum": 20142,
-  "cum</w>": 27119,
-  "cumb": 10858,
-  "cumber": 15309,
-  "cumberbatch</w>": 27541,
-  "cumberland</w>": 28747,
-  "cumbri": 32010,
-  "cumbria</w>": 17953,
-  "cumin</w>": 42285,
-  "cumple</w>": 47050,
-  "cumul": 42961,
-  "cumulative</w>": 47610,
-  "cumulus</w>": 46313,
-  "cun": 12423,
-  "cun</w>": 29532,
-  "cunningham</w>": 25321,
-  "cuomo</w>": 25681,
-  "cup": 5059,
-  "cup</w>": 1937,
-  "cupboard</w>": 32074,
-  "cupcake</w>": 17025,
-  "cupcakes</w>": 12747,
-  "cupid</w>": 34885,
-  "cuppa</w>": 28077,
-  "cups</w>": 11463,
-  "cur": 1092,
-  "cur</w>": 33073,
-  "curated</w>": 20341,
-  "curator</w>": 20753,
-  "curb</w>": 21931,
-  "curd</w>": 38881,
-  "cure": 36758,
-  "cure</w>": 9088,
-  "cured</w>": 26248,
-  "cures</w>": 38204,
-  "curfew</w>": 48826,
-  "curi": 12640,
-  "curing</w>": 44169,
-  "curiosity</w>": 21583,
-  "curious</w>": 9865,
-  "curl</w>": 24306,
-  "curled</w>": 43734,
-  "curling</w>": 18543,
-  "curls</w>": 24340,
-  "curly</w>": 20795,
-  "curran</w>": 40999,
-  "currant</w>": 43501,
-  "curren": 6142,
-  "currencies</w>": 23530,
-  "currency</w>": 7853,
-  "current</w>": 3653,
-  "currently</w>": 3792,
-  "currents</w>": 35450,
-  "curric": 16201,
-  "curriculum</w>": 17947,
-  "currie</w>": 39385,
-  "curry": 49285,
-  "curry</w>": 8051,
-  "curse</w>": 18479,
-  "cursed</w>": 26408,
-  "cursor</w>": 46546,
-  "curt</w>": 38137,
-  "curtain</w>": 17223,
-  "curtains</w>": 30223,
-  "curti": 39925,
-  "curtis</w>": 13808,
-  "curve</w>": 15792,
-  "curved</w>": 25789,
-  "curves</w>": 22814,
-  "curvy</w>": 45788,
-  "cus</w>": 2736,
-  "cusa</w>": 47414,
-  "cuse</w>": 37950,
-  "cush": 43731,
-  "cushi": 15333,
-  "cushion</w>": 20853,
-  "cushions</w>": 34163,
-  "cussion</w>": 16658,
-  "cussions</w>": 46853,
-  "cust": 20900,
-  "custard</w>": 26516,
-  "custo": 4376,
-  "custody</w>": 16176,
-  "custom": 2662,
-  "custom</w>": 4996,
-  "custome": 41323,
-  "customer": 24035,
-  "customer</w>": 5102,
-  "customerexperience</w>": 45167,
-  "customers</w>": 5528,
-  "customerservice</w>": 40611,
-  "customiz": 41793,
-  "customizable</w>": 48253,
-  "customization</w>": 48244,
-  "customize</w>": 32179,
-  "customized</w>": 23229,
-  "customs</w>": 16880,
-  "cut": 10511,
-  "cut</w>": 3032,
-  "cute": 16031,
-  "cute</w>": 2242,
-  "cuteness</w>": 19342,
-  "cuter</w>": 27151,
-  "cutest</w>": 8032,
-  "cuth": 44328,
-  "cutie</w>": 10733,
-  "cuties": 40939,
-  "cuties</w>": 23420,
-  "cutiesaturday</w>": 41883,
-  "cutler</w>": 40428,
-  "cutlery</w>": 49073,
-  "cutout</w>": 45016,
-  "cuts</w>": 7435,
-  "cutt": 27338,
-  "cutt</w>": 47647,
-  "cutter</w>": 19719,
-  "cutters</w>": 44783,
-  "cutting</w>": 7266,
-  "cuz</w>": 9215,
-  "cv": 13531,
-  "cv</w>": 13947,
-  "cvs</w>": 29603,
-  "cw": 10652,
-  "cw</w>": 11065,
-  "cwc</w>": 19179,
-  "cwgc</w>": 48527,
-  "cws</w>": 45186,
-  "cx": 44457,
-  "cx</w>": 14283,
-  "cy": 1470,
-  "cy</w>": 1678,
-  "cyber": 5830,
-  "cyber</w>": 10210,
-  "cybercrime</w>": 41772,
-  "cybermonday</w>": 36578,
-  "cyberpunk</w>": 36896,
-  "cybersecurity</w>": 10581,
-  "cyborg</w>": 36650,
-  "cycl": 9791,
-  "cycle": 19083,
-  "cycle</w>": 5072,
-  "cycled</w>": 31055,
-  "cycles</w>": 14605,
-  "cycli": 12201,
-  "cycling": 26353,
-  "cycling</w>": 6321,
-  "cyclist</w>": 20686,
-  "cyclists</w>": 20303,
-  "cyclo": 18122,
-  "cyclone": 48094,
-  "cyclone</w>": 20917,
-  "cyclones</w>": 34669,
-  "cylin": 18569,
-  "cylinder</w>": 22092,
-  "cylinders</w>": 48888,
-  "cymb": 36677,
-  "cymru</w>": 24005,
-  "cyn": 14324,
-  "cynthi": 41994,
-  "cynthia</w>": 23748,
-  "cyp": 14809,
-  "cypress</w>": 25347,
-  "cypri": 36481,
-  "cyprus</w>": 15263,
-  "cyril</w>": 36028,
-  "cyrus</w>": 14204,
-  "cystic</w>": 46131,
-  "cyto": 31864,
-  "cz": 22898,
-  "cz</w>": 22921,
-  "cze": 12152,
-  "czech": 43151,
-  "czech</w>": 16141,
-  "cé": 36454,
-  "cé</w>": 18317,
-  "d": 67,
-  "d</w>": 323,
-  "da": 925,
-  "da</w>": 1140,
-  "daa</w>": 32642,
-  "daan</w>": 44814,
-  "dab": 10413,
-  "dab</w>": 22900,
-  "dac": 16222,
-  "dac</w>": 27478,
-  "daca</w>": 28477,
-  "dach": 34166,
-  "dachsh": 41641,
-  "dachshund</w>": 42720,
-  "dad": 4346,
-  "dad</w>": 2639,
-  "dada</w>": 31325,
-  "daddy": 29466,
-  "daddy</w>": 6546,
-  "dade</w>": 23299,
-  "dades</w>": 28289,
-  "dads</w>": 12741,
-  "dae": 23358,
-  "dae</w>": 15422,
-  "daener": 46934,
-  "daes": 47282,
-  "daesh</w>": 35047,
-  "daf": 9972,
-  "daf</w>": 36704,
-  "daffodils</w>": 44769,
-  "daft</w>": 36347,
-  "dag": 11434,
-  "dag</w>": 25650,
-  "dagger</w>": 34251,
-  "dah": 16976,
-  "dah</w>": 11776,
-  "dahl": 45816,
-  "dahl</w>": 22621,
-  "dahlia</w>": 41768,
-  "dai": 13559,
-  "dai</w>": 10632,
-  "dail": 14676,
-  "dailies</w>": 21260,
-  "daily": 6689,
-  "daily</w>": 2873,
-  "dailynews</w>": 43466,
-  "dailys": 43160,
-  "dailysketch</w>": 46738,
-  "daim": 40421,
-  "dain": 32222,
-  "dain</w>": 28315,
-  "daipur</w>": 47631,
-  "dair": 19998,
-  "dair</w>": 42078,
-  "dairy": 25243,
-  "dairy</w>": 10302,
-  "dairyfree</w>": 49366,
-  "dais": 10502,
-  "daisi": 39947,
-  "daisies</w>": 40654,
-  "daisy": 39310,
-  "daisy</w>": 12865,
-  "dak": 6999,
-  "dak</w>": 16095,
-  "dakar</w>": 31137,
-  "dakota": 38522,
-  "dakota</w>": 12358,
-  "dal": 2476,
-  "dal</w>": 5601,
-  "dala</w>": 42675,
-  "dalai</w>": 41222,
-  "dalail": 35169,
-  "dalailama</w>": 35849,
-  "dale": 11533,
-  "dale</w>": 4677,
-  "dalejr</w>": 38207,
-  "dales</w>": 29031,
-  "daley</w>": 28544,
-  "dalgo</w>": 43614,
-  "dali": 36735,
-  "dali</w>": 25703,
-  "dalit</w>": 45432,
-  "dall</w>": 43631,
-  "dalla": 16772,
-  "dallas": 27414,
-  "dallas</w>": 5759,
-  "dallascowboys</w>": 33016,
-  "dalmati": 44275,
-  "dalton</w>": 21488,
-  "daly</w>": 24873,
-  "dam": 1880,
-  "dam</w>": 4926,
-  "damage</w>": 6822,
-  "damaged</w>": 13568,
-  "damages</w>": 28842,
-  "damaging</w>": 20610,
-  "damas": 23345,
-  "damascus</w>": 25396,
-  "dame</w>": 10069,
-  "dames</w>": 44548,
-  "dami": 17783,
-  "damian": 43307,
-  "damian</w>": 25375,
-  "damien</w>": 25090,
-  "dammit</w>": 31057,
-  "damn": 37409,
-  "damn</w>": 4451,
-  "damned</w>": 28428,
-  "damon": 48503,
-  "damon</w>": 18244,
-  "damp</w>": 26520,
-  "dams</w>": 37680,
-  "dan": 2257,
-  "dan</w>": 2284,
-  "dana": 44834,
-  "dana</w>": 13777,
-  "danao</w>": 38598,
-  "danc": 3945,
-  "dance": 10619,
-  "dance</w>": 2724,
-  "danced</w>": 32891,
-  "dancehall</w>": 33300,
-  "dancer</w>": 11400,
-  "dancers</w>": 13153,
-  "dances</w>": 24083,
-  "dancing": 33280,
-  "dancing</w>": 6226,
-  "dand": 12593,
-  "dandelion</w>": 38903,
-  "dandy</w>": 31932,
-  "dane</w>": 19330,
-  "danes</w>": 47477,
-  "dang": 4283,
-  "dang</w>": 14992,
-  "danger": 20083,
-  "danger</w>": 11212,
-  "dangerous</w>": 7350,
-  "dangerously</w>": 35012,
-  "dangers</w>": 23726,
-  "dangle</w>": 39907,
-  "dani": 3001,
-  "dani</w>": 17009,
-  "daniel": 7859,
-  "daniel</w>": 4981,
-  "daniela</w>": 44466,
-  "danielle": 30396,
-  "danielle</w>": 15292,
-  "danielpadilla</w>": 34702,
-  "daniels</w>": 16146,
-  "danish</w>": 15467,
-  "dank</w>": 31849,
-  "dann": 11951,
-  "danny": 14950,
-  "danny</w>": 7621,
-  "dano</w>": 29703,
-  "dans</w>": 16241,
-  "dant": 48097,
-  "dant</w>": 28237,
-  "dante</w>": 21911,
-  "danube</w>": 44594,
-  "dany</w>": 47816,
-  "dao</w>": 36099,
-  "dap": 12149,
-  "dap</w>": 38034,
-  "daph": 24591,
-  "daphne</w>": 31687,
-  "dapl</w>": 34478,
-  "dapp": 46857,
-  "dapper</w>": 26071,
-  "daq</w>": 25381,
-  "dar": 1377,
-  "dar</w>": 6242,
-  "dara</w>": 17064,
-  "darby</w>": 34366,
-  "darcy</w>": 32916,
-  "dare": 14833,
-  "dare</w>": 9863,
-  "daredevil</w>": 28849,
-  "dares</w>": 42973,
-  "dareto": 46794,
-  "dari": 16292,
-  "dari</w>": 14552,
-  "daria</w>": 45622,
-  "daries</w>": 18184,
-  "daring</w>": 28166,
-  "dario</w>": 33918,
-  "darius</w>": 32606,
-  "darje": 49089,
-  "dark": 5724,
-  "dark</w>": 3144,
-  "darker</w>": 18737,
-  "darkest</w>": 25898,
-  "darkness</w>": 10521,
-  "darling</w>": 13048,
-  "darlings</w>": 39961,
-  "darlington</w>": 34565,
-  "darn</w>": 26059,
-  "darrell</w>": 33522,
-  "darren": 20263,
-  "darren</w>": 12275,
-  "darry": 29200,
-  "darryl</w>": 35359,
-  "darshan</w>": 34564,
-  "dart": 14001,
-  "dart</w>": 19841,
-  "darth": 41304,
-  "darth</w>": 23164,
-  "dartmoor</w>": 31477,
-  "dartmouth</w>": 29667,
-  "darts</w>": 15246,
-  "darwin": 43013,
-  "darwin</w>": 20926,
-  "daryl": 45607,
-  "daryl</w>": 24532,
-  "das": 9940,
-  "das</w>": 7359,
-  "dash": 13858,
-  "dash</w>": 10206,
-  "dashboard</w>": 27679,
-  "dashi": 12876,
-  "dashing</w>": 33825,
-  "dat": 1717,
-  "dat</w>": 9445,
-  "data": 14876,
-  "data</w>": 2281,
-  "datab": 11941,
-  "database</w>": 14678,
-  "databases</w>": 48384,
-  "datac": 27329,
-  "datacenter</w>": 40133,
-  "datasci": 14496,
-  "datascience</w>": 15748,
-  "dataviz</w>": 28138,
-  "date": 34300,
-  "date</w>": 1524,
-  "dated</w>": 13564,
-  "dates</w>": 7228,
-  "dating</w>": 8534,
-  "dation</w>": 15311,
-  "datlantic": 34270,
-  "dato</w>": 36075,
-  "dats</w>": 48674,
-  "dau": 3162,
-  "dau</w>": 33828,
-  "daugh": 42523,
-  "daughter</w>": 3944,
-  "daughters</w>": 13585,
-  "daun": 29470,
-  "dav": 3700,
-  "dav</w>": 46488,
-  "davao</w>": 31502,
-  "dave": 10089,
-  "dave</w>": 5077,
-  "daven": 28350,
-  "davenport</w>": 34624,
-  "davey</w>": 33391,
-  "davi": 1732,
-  "david": 4640,
-  "david</w>": 2259,
-  "davidbowie</w>": 44448,
-  "davido</w>": 35989,
-  "davids</w>": 46695,
-  "davidson</w>": 13166,
-  "davies</w>": 13120,
-  "davin": 43187,
-  "davis": 24426,
-  "davis</w>": 5536,
-  "davison</w>": 43725,
-  "davos</w>": 31887,
-  "davy</w>": 41565,
-  "daw": 5971,
-  "daw</w>": 24404,
-  "dawg</w>": 18660,
-  "dawgs</w>": 26431,
-  "dawn": 30590,
-  "dawn</w>": 7689,
-  "dawson</w>": 18611,
-  "dax</w>": 29458,
-  "day": 1405,
-  "day</w>": 575,
-  "daya</w>": 38165,
-  "daybreak</w>": 33862,
-  "daycare</w>": 36363,
-  "daydream</w>": 41587,
-  "dayin": 20332,
-  "daylight</w>": 20809,
-  "dayo": 29856,
-  "dayo</w>": 46605,
-  "dayof": 16272,
-  "dayofthe": 38043,
-  "days</w>": 1161,
-  "daysof": 12379,
-  "daysofcode</w>": 36537,
-  "daysto": 29886,
-  "daystogo</w>": 42198,
-  "dayswild</w>": 42052,
-  "daytime</w>": 22830,
-  "dayton": 35729,
-  "dayton</w>": 20262,
-  "daytona</w>": 16335,
-  "dayweekend</w>": 44526,
-  "dayz</w>": 35949,
-  "daz": 15449,
-  "daz</w>": 43844,
-  "daze</w>": 33591,
-  "dazz": 17149,
-  "dazzle</w>": 41164,
-  "dazzling</w>": 28821,
-  "db": 19100,
-  "db</w>": 8128,
-  "dbacks</w>": 31175,
-  "dbs</w>": 40558,
-  "dbz</w>": 49226,
-  "dc": 5074,
-  "dc</w>": 2743,
-  "dca</w>": 49107,
-  "dcc</w>": 33747,
-  "dccomics</w>": 17610,
-  "dcfc</w>": 35526,
-  "dci</w>": 35336,
-  "dcs</w>": 42878,
-  "dcu</w>": 42647,
-  "dd": 1353,
-  "dd</w>": 3766,
-  "dda</w>": 35202,
-  "ddad</w>": 39049,
-  "dday": 32689,
-  "dday</w>": 26243,
-  "ddc</w>": 48513,
-  "ddd</w>": 24183,
-  "dddd</w>": 35362,
-  "dden</w>": 5013,
-  "dder</w>": 9300,
-  "dders</w>": 24827,
-  "ddi</w>": 44450,
-  "ddin</w>": 17175,
-  "dding": 48101,
-  "dding</w>": 8974,
-  "ddings</w>": 49106,
-  "ddington</w>": 29238,
-  "ddle": 17633,
-  "ddle</w>": 8357,
-  "ddled</w>": 38392,
-  "ddles</w>": 33901,
-  "ddleston</w>": 25647,
-  "ddling</w>": 30981,
-  "ddlovato</w>": 28244,
-  "ddos</w>": 46463,
-  "ddr</w>": 26027,
-  "dds</w>": 48334,
-  "ddu</w>": 43836,
-  "ddy": 14981,
-  "ddy</w>": 7876,
-  "de": 561,
-  "de</w>": 654,
-  "dea</w>": 18477,
-  "deacon</w>": 29155,
-  "dead": 3906,
-  "dead</w>": 2747,
-  "deadliest</w>": 40811,
-  "deadline": 47209,
-  "deadline</w>": 8458,
-  "deadlines</w>": 44959,
-  "deadly</w>": 10756,
-  "deadpool</w>": 21471,
-  "deaf": 28229,
-  "deaf</w>": 18358,
-  "deal": 7249,
-  "deal</w>": 2696,
-  "dealer</w>": 15218,
-  "dealers</w>": 21697,
-  "dealership</w>": 32096,
-  "dealing</w>": 13138,
-  "deals</w>": 4469,
-  "dealt</w>": 30101,
-  "dean": 13807,
-  "dean</w>": 5828,
-  "deandre</w>": 43635,
-  "deans</w>": 46852,
-  "dear": 15696,
-  "dear</w>": 3817,
-  "dearest</w>": 24880,
-  "dearly</w>": 31880,
-  "deas</w>": 34715,
-  "death": 7163,
-  "death</w>": 2767,
-  "deaths</w>": 12253,
-  "deau</w>": 12399,
-  "deaux</w>": 19883,
-  "deb": 2987,
-  "deb</w>": 25687,
-  "debat": 32082,
-  "debate</w>": 5196,
-  "debates</w>": 19239,
-  "debating</w>": 23472,
-  "debbie": 47186,
-  "debbie</w>": 16735,
-  "debit</w>": 32410,
-  "debor": 16738,
-  "deborah": 40997,
-  "deborah</w>": 22150,
-  "debra</w>": 33233,
-  "debris</w>": 19208,
-  "debt</w>": 8932,
-  "debts</w>": 38770,
-  "debu": 9790,
-  "debun": 33123,
-  "debut": 42608,
-  "debut</w>": 4085,
-  "debuted</w>": 25215,
-  "debuting</w>": 34817,
-  "debuts</w>": 17044,
-  "dec": 3063,
-  "dec</w>": 4628,
-  "deca</w>": 33428,
-  "decad": 29914,
-  "decade</w>": 11099,
-  "decadent</w>": 41716,
-  "decades</w>": 10488,
-  "decal</w>": 26678,
-  "decals</w>": 37606,
-  "decan": 40677,
-  "decat": 35334,
-  "decath": 47455,
-  "decatur</w>": 38540,
-  "decay</w>": 22703,
-  "dece": 3534,
-  "deceased</w>": 30035,
-  "december</w>": 3864,
-  "decent</w>": 10698,
-  "decentr": 28960,
-  "decentralized</w>": 38485,
-  "decep": 33529,
-  "deception</w>": 33046,
-  "deci": 2262,
-  "decide</w>": 8447,
-  "decided</w>": 4939,
-  "decides</w>": 17269,
-  "deciding</w>": 22513,
-  "decision</w>": 5575,
-  "decisions</w>": 9903,
-  "decisive</w>": 28690,
-  "deck": 24885,
-  "deck</w>": 6943,
-  "decked</w>": 39096,
-  "decker</w>": 21449,
-  "decks</w>": 23968,
-  "decl": 7091,
-  "decla": 10739,
-  "declan</w>": 42341,
-  "declar": 18040,
-  "declaration</w>": 19714,
-  "declare</w>": 19856,
-  "declared</w>": 13845,
-  "declares</w>": 23641,
-  "declaring</w>": 33273,
-  "decline</w>": 15084,
-  "declined</w>": 28911,
-  "declines</w>": 40478,
-  "declining</w>": 29221,
-  "deco": 26412,
-  "deco</w>": 16422,
-  "decor": 5148,
-  "decor</w>": 6928,
-  "decorate</w>": 23651,
-  "decorated</w>": 15917,
-  "decorating</w>": 16968,
-  "decoration</w>": 16029,
-  "decorations</w>": 19158,
-  "decorative</w>": 19289,
-  "decre": 12284,
-  "decrease</w>": 24703,
-  "decreased</w>": 33913,
-  "decreasing</w>": 43763,
-  "decree</w>": 43327,
-  "ded": 16744,
-  "ded</w>": 1241,
-  "dedic": 4701,
-  "dedicate</w>": 27610,
-  "dedicated</w>": 6770,
-  "dedication</w>": 10188,
-  "dedly</w>": 36204,
-  "deduc": 22799,
-  "dee": 5268,
-  "dee</w>": 6705,
-  "deed</w>": 30260,
-  "deeds</w>": 24516,
-  "deejay": 48304,
-  "deejay</w>": 44511,
-  "deemed</w>": 28102,
-  "deen": 26456,
-  "deen</w>": 12912,
-  "deep": 5462,
-  "deep</w>": 3383,
-  "deepak</w>": 45528,
-  "deeper</w>": 15224,
-  "deepest</w>": 22245,
-  "deephouse</w>": 35684,
-  "deepi": 19371,
-  "deepika</w>": 34120,
-  "deepikap": 29903,
-  "deepikapadukone</w>": 30646,
-  "deeplear": 22181,
-  "deeplearning</w>": 24362,
-  "deeply</w>": 11449,
-  "deer": 19454,
-  "deer</w>": 8700,
-  "deere</w>": 32901,
-  "dees</w>": 12547,
-  "deets</w>": 35537,
-  "def": 2044,
-  "def</w>": 11649,
-  "defam": 35670,
-  "defamation</w>": 42741,
-  "default</w>": 21650,
-  "defe": 4148,
-  "defeat</w>": 8477,
-  "defeated</w>": 8927,
-  "defeating</w>": 22594,
-  "defeats</w>": 16317,
-  "defect</w>": 44013,
-  "defects</w>": 37485,
-  "defen": 3619,
-  "defence": 30307,
-  "defence</w>": 9659,
-  "defend": 21970,
-  "defend</w>": 11397,
-  "defended</w>": 27161,
-  "defender</w>": 10618,
-  "defenders</w>": 20063,
-  "defending</w>": 13098,
-  "defends</w>": 20134,
-  "defense": 45875,
-  "defense</w>": 6021,
-  "defenseman</w>": 43714,
-  "defenses</w>": 49198,
-  "defensive</w>": 10824,
-  "defi": 17244,
-  "defiance</w>": 36186,
-  "defiant</w>": 47597,
-  "defibrill": 47684,
-  "defic": 18022,
-  "defici": 23387,
-  "deficiency</w>": 30685,
-  "deficit</w>": 20156,
-  "defin": 3188,
-  "define</w>": 14919,
-  "defined</w>": 15278,
-  "defines</w>": 28218,
-  "defining</w>": 20504,
-  "definite</w>": 40793,
-  "definitely</w>": 4824,
-  "definition</w>": 11405,
-  "definitive</w>": 25298,
-  "defl": 31467,
-  "deforestation</w>": 41330,
-  "defstar</w>": 36427,
-  "defy</w>": 39148,
-  "defying</w>": 38496,
-  "deg</w>": 38498,
-  "degra": 28939,
-  "degradation</w>": 44468,
-  "degre": 4653,
-  "degree</w>": 7119,
-  "degrees</w>": 8000,
-  "deh</w>": 35582,
-  "dei": 33833,
-  "dei</w>": 23279,
-  "deir": 42948,
-  "deity</w>": 42574,
-  "deja</w>": 46902,
-  "dek</w>": 23901,
-  "dekalb</w>": 37775,
-  "del": 1233,
-  "del</w>": 2003,
-  "dela</w>": 37986,
-  "delaney</w>": 31528,
-  "delav": 23706,
-  "delavin": 40477,
-  "delavin</w>": 40776,
-  "delavinkisses</w>": 40631,
-  "delaware</w>": 17547,
-  "delay": 12955,
-  "delay</w>": 10934,
-  "delayed</w>": 14567,
-  "delaying</w>": 43781,
-  "delays</w>": 11232,
-  "dele": 7922,
-  "dele</w>": 33431,
-  "delec": 38615,
-  "delectable</w>": 45500,
-  "deleg": 8046,
-  "delegate</w>": 27259,
-  "delegates</w>": 14623,
-  "delegation</w>": 14632,
-  "delete</w>": 19204,
-  "deleted</w>": 16588,
-  "deleting</w>": 41857,
-  "delft</w>": 42749,
-  "delgado</w>": 49182,
-  "delhi": 26723,
-  "delhi</w>": 5717,
-  "deli": 1932,
-  "deli</w>": 18601,
-  "delia</w>": 33193,
-  "deliber": 18316,
-  "deliberate</w>": 38271,
-  "deliberately</w>": 35163,
-  "delic": 13366,
-  "delicacy</w>": 49181,
-  "delicate</w>": 18768,
-  "delici": 19993,
-  "delicious</w>": 3959,
-  "deliciously</w>": 39589,
-  "deliciousness</w>": 42819,
-  "delight": 46165,
-  "delight</w>": 13073,
-  "delighted</w>": 5943,
-  "delightful</w>": 15513,
-  "delights</w>": 25330,
-  "deline</w>": 18797,
-  "delines</w>": 13562,
-  "delish</w>": 25093,
-  "deliver": 19561,
-  "deliver</w>": 7396,
-  "delivered</w>": 7278,
-  "deliveries</w>": 29336,
-  "delivering</w>": 9943,
-  "delivers</w>": 11753,
-  "delivery</w>": 5619,
-  "dell": 24381,
-  "dell</w>": 10242,
-  "della</w>": 22986,
-  "delle</w>": 35963,
-  "deloit": 29428,
-  "deloitte</w>": 38667,
-  "dels</w>": 48636,
-  "delta": 32250,
-  "delta</w>": 8768,
-  "delu": 18779,
-  "delusional</w>": 48059,
-  "delux": 13709,
-  "deluxe</w>": 14056,
-  "delve</w>": 46008,
-  "dely</w>": 15040,
-  "dem": 3251,
-  "dem</w>": 7825,
-  "dema": 40268,
-  "dema</w>": 45046,
-  "deman</w>": 48366,
-  "demand": 13072,
-  "demand</w>": 5650,
-  "demanded</w>": 33699,
-  "demanding</w>": 17099,
-  "demands</w>": 14241,
-  "demar</w>": 46566,
-  "demarcus</w>": 47873,
-  "demb": 35930,
-  "demdebate</w>": 43973,
-  "deme": 25143,
-  "demean": 37376,
-  "demen": 12604,
-  "dementi": 46028,
-  "dementia</w>": 14047,
-  "demetri": 39553,
-  "demi": 32879,
-  "demi</w>": 14480,
-  "demise</w>": 28756,
-  "demo": 2930,
-  "demo</w>": 7380,
-  "democr": 3573,
-  "democracy</w>": 7758,
-  "democrat</w>": 15431,
-  "democratic</w>": 9149,
-  "democrats</w>": 8865,
-  "demographic</w>": 31308,
-  "demol": 19382,
-  "demolished</w>": 26537,
-  "demolition</w>": 22237,
-  "demon": 5635,
-  "demon</w>": 12085,
-  "demonetisation</w>": 41338,
-  "demonic</w>": 46920,
-  "demons</w>": 18388,
-  "demonstr": 8579,
-  "demonstrate</w>": 22231,
-  "demonstrated</w>": 29477,
-  "demonstrates</w>": 24806,
-  "demonstrating</w>": 22107,
-  "demonstration</w>": 16722,
-  "demonstrations</w>": 33964,
-  "demonstrators</w>": 46450,
-  "demos</w>": 19304,
-  "demp": 22490,
-  "dempsey</w>": 30188,
-  "dems</w>": 10989,
-  "demsin": 42664,
-  "demsinphilly</w>": 43091,
-  "den": 1177,
-  "den</w>": 1181,
-  "dena</w>": 32431,
-  "denali</w>": 48076,
-  "dence</w>": 3370,
-  "dency</w>": 11659,
-  "dend": 37447,
-  "dends</w>": 43985,
-  "dene</w>": 45128,
-  "dened</w>": 19571,
-  "deng": 43098,
-  "deng</w>": 41788,
-  "dengue</w>": 41932,
-  "denham</w>": 39180,
-  "deni": 21995,
-  "denial</w>": 25716,
-  "denied</w>": 15780,
-  "denies</w>": 19565,
-  "denim</w>": 13606,
-  "denis": 47630,
-  "denis</w>": 18750,
-  "denise": 45900,
-  "denise</w>": 20899,
-  "denmark</w>": 13268,
-  "dennis": 32738,
-  "dennis</w>": 10534,
-  "denny</w>": 26808,
-  "denomin": 41016,
-  "dens</w>": 16533,
-  "dense</w>": 19353,
-  "density</w>": 22431,
-  "dent": 3593,
-  "dent</w>": 1258,
-  "dental": 24635,
-  "dental</w>": 8382,
-  "dentally</w>": 10346,
-  "dented</w>": 21923,
-  "denti": 4418,
-  "dential</w>": 5459,
-  "dentist</w>": 17816,
-  "dentistry</w>": 25754,
-  "dently</w>": 28817,
-  "denton</w>": 23567,
-  "dents</w>": 1517,
-  "denver": 27847,
-  "denver</w>": 8569,
-  "deny</w>": 18679,
-  "denying</w>": 32771,
-  "denzel</w>": 42503,
-  "deo": 26406,
-  "deo</w>": 12121,
-  "deodor": 47639,
-  "deol</w>": 41902,
-  "deon": 31466,
-  "deon</w>": 16079,
-  "dep": 6079,
-  "dep</w>": 24370,
-  "depar": 10794,
-  "depart": 5343,
-  "depart</w>": 30649,
-  "departed</w>": 32541,
-  "departing</w>": 26902,
-  "department</w>": 5744,
-  "departments</w>": 29523,
-  "departs</w>": 38998,
-  "departure</w>": 17850,
-  "depe": 36118,
-  "depend": 13894,
-  "depend</w>": 27371,
-  "dependence</w>": 40243,
-  "dependent</w>": 23280,
-  "depending</w>": 23673,
-  "depends</w>": 20497,
-  "depic": 11307,
-  "depicted</w>": 34637,
-  "depicting</w>": 24970,
-  "depiction</w>": 31071,
-  "depicts</w>": 29340,
-  "deple": 38504,
-  "deplo": 9356,
-  "deplor": 39232,
-  "deploy</w>": 26944,
-  "deployed</w>": 20009,
-  "deploying</w>": 42212,
-  "deployment</w>": 20183,
-  "depo": 14276,
-  "depor": 36110,
-  "deport": 23389,
-  "deportation</w>": 36617,
-  "deported</w>": 39320,
-  "deportes</w>": 47878,
-  "depos": 21266,
-  "deposit</w>": 16775,
-  "deposits</w>": 30740,
-  "depot</w>": 12589,
-  "depp</w>": 24941,
-  "depre": 7107,
-  "depress": 38869,
-  "depressed</w>": 23269,
-  "depressing</w>": 29235,
-  "depression</w>": 10023,
-  "depri": 28587,
-  "depriv": 45809,
-  "deprivation</w>": 47810,
-  "deprived</w>": 39140,
-  "dept</w>": 9201,
-  "depth</w>": 10350,
-  "depths</w>": 28855,
-  "depu": 6912,
-  "deputies</w>": 24914,
-  "deputy</w>": 7932,
-  "der": 839,
-  "der</w>": 801,
-  "dera</w>": 20696,
-  "derail": 48502,
-  "derby": 13904,
-  "derby</w>": 7177,
-  "derbyshire</w>": 22147,
-  "derdale</w>": 21513,
-  "dere": 5701,
-  "dere</w>": 44194,
-  "dered</w>": 3776,
-  "derek": 22461,
-  "derek</w>": 11205,
-  "derel": 46728,
-  "derer</w>": 11289,
-  "derers</w>": 20882,
-  "deri": 34573,
-  "derick</w>": 33908,
-  "dering</w>": 6076,
-  "deriv": 33458,
-  "derived</w>": 26461,
-  "derland</w>": 35488,
-  "derman</w>": 29740,
-  "dermatology</w>": 48051,
-  "dern</w>": 30086,
-  "dero": 37203,
-  "dero</w>": 34026,
-  "derrick</w>": 21798,
-  "derry": 45777,
-  "derry</w>": 20535,
-  "ders": 37307,
-  "ders</w>": 1923,
-  "derson</w>": 12677,
-  "dery</w>": 17172,
-  "des": 6797,
-  "des</w>": 1437,
-  "desai</w>": 35316,
-  "desc": 13866,
-  "descen": 32318,
-  "descend": 26004,
-  "descend</w>": 46241,
-  "descendants</w>": 36323,
-  "descending</w>": 36620,
-  "descent</w>": 19375,
-  "desch": 49209,
-  "descri": 4637,
-  "describe</w>": 10967,
-  "described</w>": 14671,
-  "describes</w>": 13678,
-  "describing</w>": 24239,
-  "descrip": 41832,
-  "description</w>": 13951,
-  "descriptions</w>": 40653,
-  "desde</w>": 42218,
-  "dese": 27195,
-  "deser": 3659,
-  "desert": 45776,
-  "desert</w>": 7301,
-  "deserted</w>": 41560,
-  "deserve</w>": 7043,
-  "deserved</w>": 10061,
-  "deserves</w>": 9079,
-  "deserving</w>": 26615,
-  "desh": 25320,
-  "desh</w>": 7448,
-  "deshi</w>": 42769,
-  "desi": 6772,
-  "desi</w>": 26635,
-  "desig": 1250,
-  "design": 8359,
-  "design</w>": 1681,
-  "designated</w>": 24119,
-  "designation</w>": 41155,
-  "designed</w>": 4486,
-  "designer": 35640,
-  "designer</w>": 5728,
-  "designers</w>": 12720,
-  "designing</w>": 13467,
-  "designs</w>": 6747,
-  "designthinking</w>": 32450,
-  "desirable</w>": 32368,
-  "desire</w>": 11858,
-  "desired</w>": 28631,
-  "desires</w>": 27598,
-  "desk": 11937,
-  "desk</w>": 6550,
-  "desks</w>": 41014,
-  "desktop</w>": 14345,
-  "desmond</w>": 27821,
-  "desol": 41258,
-  "desp": 3642,
-  "despair</w>": 28097,
-  "desper": 10144,
-  "desperate</w>": 15072,
-  "desperately</w>": 21993,
-  "despic": 32442,
-  "despicable</w>": 37158,
-  "despite</w>": 5325,
-  "dess": 7096,
-  "dess</w>": 10001,
-  "dessert</w>": 9753,
-  "desserts</w>": 22948,
-  "desses</w>": 43913,
-  "dest": 6540,
-  "dest</w>": 4549,
-  "destin": 4934,
-  "destination": 32191,
-  "destination</w>": 9179,
-  "destinations</w>": 16981,
-  "destined</w>": 28525,
-  "destiny": 39875,
-  "destiny</w>": 10867,
-  "destro": 8287,
-  "destroy": 8308,
-  "destroy</w>": 11930,
-  "destroyed</w>": 9965,
-  "destroyer</w>": 25291,
-  "destroying</w>": 19613,
-  "destroys</w>": 27634,
-  "destruc": 22945,
-  "destruction</w>": 14281,
-  "destructive</w>": 29591,
-  "det": 28966,
-  "det</w>": 15366,
-  "deta": 1914,
-  "detached</w>": 26252,
-  "detail</w>": 7657,
-  "detailed</w>": 12609,
-  "detailing</w>": 23163,
-  "details</w>": 2353,
-  "detained</w>": 20260,
-  "dete": 5606,
-  "detec": 17991,
-  "detect</w>": 22744,
-  "detected</w>": 26988,
-  "detecting</w>": 41290,
-  "detection</w>": 16220,
-  "detective</w>": 13672,
-  "detectives</w>": 27994,
-  "detector</w>": 27689,
-  "detectors</w>": 45063,
-  "detention</w>": 16908,
-  "deter": 10742,
-  "deter</w>": 47458,
-  "detergent</w>": 46726,
-  "deterior": 28512,
-  "determin": 8325,
-  "determination</w>": 17410,
-  "determine</w>": 16768,
-  "determined</w>": 14371,
-  "determines</w>": 42192,
-  "determining</w>": 39884,
-  "deth</w>": 38375,
-  "deto": 39710,
-  "deton": 39335,
-  "detour</w>": 31211,
-  "detox</w>": 22459,
-  "detri": 47951,
-  "detro": 6210,
-  "detroit": 19404,
-  "detroit</w>": 7073,
-  "detta</w>": 45438,
-  "dette</w>": 35750,
-  "deu": 21457,
-  "deuce</w>": 45332,
-  "deus</w>": 37625,
-  "deut": 14970,
-  "deutsch": 30389,
-  "deutsche</w>": 32760,
-  "deutschland</w>": 36878,
-  "deux</w>": 47089,
-  "dev": 2797,
-  "dev</w>": 3670,
-  "deva</w>": 45179,
-  "devan": 37072,
-  "devast": 12913,
-  "devastated</w>": 29865,
-  "devastating</w>": 19280,
-  "devastation</w>": 42452,
-  "devel": 1820,
-  "develop": 1966,
-  "develop</w>": 7708,
-  "developed</w>": 8763,
-  "developer</w>": 10929,
-  "developers</w>": 13248,
-  "developing</w>": 8131,
-  "development</w>": 2855,
-  "developmental</w>": 29347,
-  "developments</w>": 17393,
-  "develops</w>": 29895,
-  "deven": 45537,
-  "devgn</w>": 29871,
-  "devi": 12926,
-  "devi</w>": 20717,
-  "deviant": 25593,
-  "deviantart</w>": 26046,
-  "device</w>": 8163,
-  "devices</w>": 9067,
-  "devil": 8894,
-  "devil</w>": 8043,
-  "deville</w>": 34329,
-  "devils</w>": 11683,
-  "devin": 31193,
-  "devin</w>": 20996,
-  "devine</w>": 33019,
-  "devlin</w>": 48040,
-  "devo": 11861,
-  "devo</w>": 43444,
-  "devon": 16205,
-  "devon</w>": 10046,
-  "devops</w>": 21504,
-  "devos</w>": 40646,
-  "devote": 37777,
-  "devoted</w>": 24561,
-  "devotees</w>": 39759,
-  "devotion</w>": 25821,
-  "devotional</w>": 35456,
-  "devs</w>": 27374,
-  "dew": 31952,
-  "dew</w>": 16358,
-  "dewey</w>": 40399,
-  "dex": 10030,
-  "dex</w>": 13790,
-  "dexpo</w>": 42502,
-  "dexter": 45049,
-  "dexter</w>": 22781,
-  "dey</w>": 11829,
-  "dez": 23190,
-  "dez</w>": 8122,
-  "df": 12908,
-  "df</w>": 10468,
-  "dfc</w>": 41903,
-  "dfs</w>": 32880,
-  "dfw</w>": 20439,
-  "dg": 2394,
-  "dg</w>": 9742,
-  "dgate</w>": 41684,
-  "dge": 4016,
-  "dge</w>": 1360,
-  "dged</w>": 11830,
-  "dgeon</w>": 45655,
-  "dgers</w>": 8733,
-  "dges</w>": 5432,
-  "dging</w>": 9565,
-  "dh": 6669,
-  "dh</w>": 9960,
-  "dha": 11629,
-  "dha</w>": 27377,
-  "dhabi</w>": 22349,
-  "dhaka</w>": 32877,
-  "dham": 29635,
-  "dham</w>": 30838,
-  "dhan": 12542,
-  "dhan</w>": 28569,
-  "dhanush": 26162,
-  "dhanush</w>": 36200,
-  "dhanushkraja</w>": 29266,
-  "dhar": 12397,
-  "dharma</w>": 30536,
-  "dhary</w>": 28706,
-  "dhawan</w>": 44699,
-  "dhe": 29706,
-  "dheim</w>": 44280,
-  "dhi": 31553,
-  "dhi</w>": 26166,
-  "dho": 37834,
-  "dhoni</w>": 25698,
-  "dhru": 40257,
-  "dhry</w>": 39960,
-  "dhs</w>": 26849,
-  "dhu": 32387,
-  "di": 570,
-  "di</w>": 1618,
-  "dia": 7351,
-  "dia</w>": 3357,
-  "diab": 15954,
-  "diabe": 19167,
-  "diabete": 43826,
-  "diabetes</w>": 10319,
-  "diabetic</w>": 30230,
-  "diablo</w>": 23931,
-  "diag": 6851,
-  "diagno": 7736,
-  "diagnose</w>": 44429,
-  "diagnosed</w>": 16979,
-  "diagnosis</w>": 15715,
-  "diagnostic</w>": 26351,
-  "diagnostics</w>": 37723,
-  "diagram</w>": 22697,
-  "dial": 18416,
-  "dial</w>": 11381,
-  "dialo": 30709,
-  "dialog</w>": 48945,
-  "dialogue</w>": 11288,
-  "dialogues</w>": 40330,
-  "dialysis</w>": 44798,
-  "diam": 4347,
-  "diameter</w>": 27189,
-  "diamon": 8873,
-  "diamond": 18535,
-  "diamond</w>": 6235,
-  "diamonds</w>": 12687,
-  "dian": 16021,
-  "dian</w>": 4998,
-  "diana</w>": 12803,
-  "diane</w>": 15855,
-  "dianne</w>": 42299,
-  "dians</w>": 21041,
-  "diaper</w>": 34382,
-  "diapers</w>": 39659,
-  "diar": 25932,
-  "diaries</w>": 15541,
-  "diary</w>": 10380,
-  "dias": 22137,
-  "dias</w>": 29354,
-  "diaspora</w>": 28390,
-  "diaz</w>": 17688,
-  "dic": 1404,
-  "dic</w>": 6717,
-  "dicap": 30023,
-  "dicaprio</w>": 30755,
-  "dice</w>": 14406,
-  "dick": 14413,
-  "dick</w>": 9554,
-  "dickens</w>": 33421,
-  "dict": 45360,
-  "dict</w>": 15159,
-  "dictat": 26156,
-  "dictator</w>": 27399,
-  "dictatorship</w>": 37989,
-  "dictionary</w>": 19699,
-  "did": 1861,
-  "did</w>": 1335,
-  "diddy</w>": 33527,
-  "didi</w>": 34396,
-  "didier</w>": 45614,
-  "didn</w>": 2376,
-  "didnt</w>": 13057,
-  "dido</w>": 31725,
-  "didyou": 12295,
-  "didyouknow</w>": 12506,
-  "die": 3150,
-  "die</w>": 2082,
-  "diec": 27729,
-  "diecast</w>": 37936,
-  "died</w>": 3622,
-  "diego": 30940,
-  "diego</w>": 6306,
-  "diem</w>": 45571,
-  "dience</w>": 33686,
-  "dient</w>": 27231,
-  "dier": 29702,
-  "dier</w>": 16394,
-  "dies": 20104,
-  "dies</w>": 1862,
-  "diesel": 46312,
-  "diesel</w>": 10591,
-  "diest</w>": 45739,
-  "diet": 21295,
-  "diet</w>": 6582,
-  "dietary</w>": 29009,
-  "dietrich</w>": 47005,
-  "diets</w>": 35173,
-  "dif": 18656,
-  "dif</w>": 48731,
-  "diff": 44073,
-  "diff</w>": 20331,
-  "diffe": 1967,
-  "differ</w>": 34620,
-  "differen": 14903,
-  "difference</w>": 4731,
-  "differences</w>": 14003,
-  "different</w>": 2731,
-  "differenti": 21729,
-  "differential</w>": 34027,
-  "differentiate</w>": 49032,
-  "differently</w>": 18325,
-  "diffic": 6140,
-  "difficult</w>": 7405,
-  "difficulties</w>": 23468,
-  "difficulty</w>": 25245,
-  "diffu": 31603,
-  "diffuser</w>": 49400,
-  "dig": 1831,
-  "dig</w>": 9887,
-  "dige": 17820,
-  "digest</w>": 20413,
-  "digestion</w>": 40533,
-  "digestive</w>": 32304,
-  "digg": 43240,
-  "digger</w>": 35919,
-  "diggin</w>": 48466,
-  "digging</w>": 14971,
-  "digi": 15627,
-  "digi</w>": 39361,
-  "digimon</w>": 44181,
-  "digit": 14899,
-  "digit</w>": 27472,
-  "digital": 4704,
-  "digital</w>": 2794,
-  "digitalart</w>": 16987,
-  "digitalhealth</w>": 32190,
-  "digitalindia</w>": 46630,
-  "digitally</w>": 27543,
-  "digitalmarketing</w>": 15299,
-  "digitaltransformation</w>": 20047,
-  "digiti": 25935,
-  "digits</w>": 31710,
-  "digni": 45532,
-  "dignit": 39497,
-  "dignity</w>": 17744,
-  "digo</w>": 35701,
-  "digs</w>": 26877,
-  "dih</w>": 43089,
-  "dii</w>": 32755,
-  "dijk</w>": 44444,
-  "dik": 38854,
-  "dik</w>": 37747,
-  "dike</w>": 42683,
-  "dil": 7643,
-  "dil</w>": 17942,
-  "dile": 25428,
-  "dilemma</w>": 29787,
-  "dilig": 30664,
-  "dill": 12318,
-  "dill</w>": 27206,
-  "dillon</w>": 21056,
-  "dilu": 45242,
-  "dim": 19576,
-  "dim</w>": 17523,
-  "dime</w>": 24443,
-  "dimen": 10935,
-  "dimension</w>": 20479,
-  "dimensional</w>": 25252,
-  "dimensions</w>": 25086,
-  "diment</w>": 43500,
-  "dimes</w>": 44888,
-  "dimini": 37459,
-  "dimit": 22250,
-  "dimitri</w>": 48840,
-  "dimp": 38853,
-  "din": 1462,
-  "din</w>": 5673,
-  "dina</w>": 36815,
-  "dinah</w>": 30903,
-  "dine": 20951,
-  "dine</w>": 12989,
-  "diner</w>": 16963,
-  "dinesh</w>": 48341,
-  "ding": 7545,
-  "ding</w>": 796,
-  "dinger</w>": 45580,
-  "dingh": 48064,
-  "dings</w>": 5473,
-  "dington</w>": 24804,
-  "dinho</w>": 47370,
-  "dini</w>": 20196,
-  "dining</w>": 8658,
-  "dinner": 27548,
-  "dinner</w>": 2571,
-  "dinners</w>": 33570,
-  "dino": 9692,
-  "dino</w>": 14077,
-  "dinosa": 18955,
-  "dinosaur</w>": 15095,
-  "dinosaurs</w>": 20387,
-  "dio": 3779,
-  "dio</w>": 1521,
-  "dioce": 20763,
-  "diocese</w>": 27091,
-  "dion": 42899,
-  "dion</w>": 16250,
-  "dior</w>": 23655,
-  "dios</w>": 37563,
-  "dious</w>": 27417,
-  "dioxide</w>": 38102,
-  "dip": 19918,
-  "dip</w>": 11343,
-  "dipl": 8490,
-  "diplo</w>": 38115,
-  "diplom": 11169,
-  "diploma</w>": 21251,
-  "diplomacy</w>": 23798,
-  "diplomat</w>": 32828,
-  "diplomatic</w>": 23782,
-  "diplomats</w>": 44126,
-  "dipped</w>": 30610,
-  "dipper</w>": 49317,
-  "dipping</w>": 33544,
-  "dips</w>": 37522,
-  "dir": 4251,
-  "dir</w>": 8478,
-  "dire": 38355,
-  "dire</w>": 25664,
-  "direc": 1534,
-  "direct": 43224,
-  "direct</w>": 6016,
-  "directed</w>": 8392,
-  "directing</w>": 21817,
-  "direction": 15923,
-  "direction</w>": 5407,
-  "directional</w>": 38687,
-  "directioner</w>": 48042,
-  "directioners</w>": 22055,
-  "directions</w>": 16440,
-  "directive</w>": 40630,
-  "directly</w>": 9701,
-  "director": 20337,
-  "director</w>": 2681,
-  "directorial</w>": 45327,
-  "directors</w>": 11940,
-  "directory</w>": 25272,
-  "directs</w>": 34349,
-  "directv</w>": 48652,
-  "dirk</w>": 28171,
-  "dirt": 31415,
-  "dirt</w>": 11795,
-  "dirty": 20127,
-  "dirty</w>": 7615,
-  "dis": 1518,
-  "dis</w>": 6112,
-  "disa": 3882,
-  "disab": 47380,
-  "disabilities</w>": 17350,
-  "disability": 48986,
-  "disability</w>": 13261,
-  "disabled</w>": 13613,
-  "disadvantaged</w>": 40577,
-  "disagree</w>": 23199,
-  "disapp": 5384,
-  "disappear": 21148,
-  "disappear</w>": 25173,
-  "disappearance</w>": 35929,
-  "disappeared</w>": 23139,
-  "disappearing</w>": 35819,
-  "disappears</w>": 44406,
-  "disappo": 7605,
-  "disappoint</w>": 25446,
-  "disappointed</w>": 13794,
-  "disappointing</w>": 21941,
-  "disappointment</w>": 23884,
-  "disappoints</w>": 48545,
-  "disappro": 48276,
-  "disar": 42971,
-  "disaster</w>": 9072,
-  "disasters</w>": 26976,
-  "disastrous</w>": 35790,
-  "disc": 1472,
-  "disc</w>": 10712,
-  "discar": 40532,
-  "discarded</w>": 45197,
-  "discer": 49140,
-  "dischar": 22671,
-  "discharge</w>": 32485,
-  "disci": 9559,
-  "discip": 38951,
-  "discipl": 10467,
-  "disciples</w>": 39366,
-  "disciplinary</w>": 20232,
-  "discipline</w>": 18903,
-  "disciplines</w>": 42032,
-  "discla": 40248,
-  "disclaimer</w>": 46465,
-  "disclo": 17481,
-  "disclose</w>": 46379,
-  "disclosed</w>": 30905,
-  "disclosure</w>": 26502,
-  "disco": 2475,
-  "disco</w>": 11964,
-  "discography</w>": 47545,
-  "discomfort</w>": 48054,
-  "discord</w>": 23582,
-  "discoun": 18515,
-  "discount</w>": 7638,
-  "discounted</w>": 20993,
-  "discounts</w>": 18186,
-  "discoura": 45850,
-  "discourse</w>": 29441,
-  "discover": 10539,
-  "discover</w>": 4834,
-  "discovered</w>": 6986,
-  "discoveries</w>": 29308,
-  "discovering</w>": 17967,
-  "discovers</w>": 29719,
-  "discovery": 40491,
-  "discovery</w>": 8027,
-  "discre": 20616,
-  "discrimin": 11721,
-  "discrimination</w>": 14775,
-  "discs</w>": 29270,
-  "discu": 1984,
-  "discus</w>": 41828,
-  "discuss</w>": 4312,
-  "discussed</w>": 11300,
-  "discusses</w>": 8116,
-  "discussing</w>": 5900,
-  "discussion</w>": 5060,
-  "discussions</w>": 13806,
-  "dise": 4262,
-  "disease</w>": 5336,
-  "diseases</w>": 12035,
-  "disen": 46468,
-  "disgrace</w>": 29877,
-  "disgraceful</w>": 44146,
-  "disgu": 9793,
-  "disguise</w>": 27803,
-  "disguised</w>": 37149,
-  "disgusted</w>": 41977,
-  "disgusting</w>": 16218,
-  "dish": 11039,
-  "dish</w>": 4531,
-  "disha</w>": 42498,
-  "dishes</w>": 11412,
-  "dishon": 30777,
-  "dishu</w>": 44728,
-  "dishwasher</w>": 40524,
-  "disin": 19484,
-  "disinfe": 48050,
-  "disintegr": 49275,
-  "disk</w>": 17970,
-  "dislike</w>": 30796,
-  "dism": 30836,
-  "dism</w>": 38821,
-  "dismant": 36557,
-  "dismiss</w>": 43287,
-  "dismissal</w>": 42068,
-  "dismissed</w>": 30087,
-  "dismisses</w>": 45238,
-  "disney": 6729,
-  "disney</w>": 4696,
-  "disneyland": 39481,
-  "disneyland</w>": 13661,
-  "disneyworld</w>": 28469,
-  "diso": 26305,
-  "disobe": 42841,
-  "dison</w>": 19310,
-  "disorder</w>": 12635,
-  "disorders</w>": 17114,
-  "disp": 11073,
-  "dispar": 24633,
-  "disparities</w>": 45122,
-  "dispat": 28652,
-  "dispatch</w>": 26306,
-  "dispen": 19077,
-  "dispenser</w>": 40116,
-  "disper": 34499,
-  "displa": 9326,
-  "displac": 17718,
-  "displaced</w>": 22817,
-  "displacement</w>": 37931,
-  "display</w>": 4456,
-  "displayed</w>": 18967,
-  "displaying</w>": 26468,
-  "displays</w>": 15648,
-  "dispo": 13651,
-  "dispon": 38872,
-  "disponible</w>": 46130,
-  "dispos": 45177,
-  "disposable</w>": 37275,
-  "disposal</w>": 28231,
-  "dispro": 32927,
-  "dispropor": 40354,
-  "disproportion": 45492,
-  "disregard</w>": 43869,
-  "disrespect</w>": 34055,
-  "disrespectful</w>": 41723,
-  "disru": 13763,
-  "disrup": 14641,
-  "disrupt</w>": 25214,
-  "disrupted</w>": 46674,
-  "disrupting</w>": 42419,
-  "disruption</w>": 19635,
-  "disruptive</w>": 31554,
-  "diss": 10766,
-  "diss</w>": 35688,
-  "dissec": 43879,
-  "dissemin": 40463,
-  "dissent</w>": 45154,
-  "disser": 25560,
-  "dissertation</w>": 29448,
-  "dissi": 25088,
-  "dissol": 27398,
-  "dissuper</w>": 33461,
-  "dist": 5479,
-  "dist</w>": 12116,
-  "distance</w>": 7964,
-  "distances</w>": 37078,
-  "distant</w>": 18949,
-  "distill": 41586,
-  "distilled</w>": 49179,
-  "distillery</w>": 22200,
-  "distin": 11892,
-  "distinct</w>": 25056,
-  "distinction</w>": 28183,
-  "distinctive</w>": 25486,
-  "distingui": 15053,
-  "distinguish</w>": 45418,
-  "distinguished</w>": 16513,
-  "distor": 23781,
-  "distortion</w>": 43690,
-  "distr": 11885,
-  "distract</w>": 39309,
-  "distracted</w>": 24049,
-  "distraction</w>": 32039,
-  "distress</w>": 26866,
-  "distressed</w>": 37515,
-  "distri": 5987,
-  "distribu": 6138,
-  "distribute</w>": 32313,
-  "distributed</w>": 16419,
-  "distributing</w>": 35216,
-  "distribution</w>": 10484,
-  "distributor</w>": 28354,
-  "distributors</w>": 44240,
-  "distric": 3208,
-  "district": 46683,
-  "district</w>": 3506,
-  "districts</w>": 17565,
-  "distur": 11732,
-  "disturb": 33018,
-  "disturb</w>": 39449,
-  "disturbance</w>": 42416,
-  "disturbed</w>": 29967,
-  "disturbing</w>": 21476,
-  "disupdates</w>": 45667,
-  "dit": 5752,
-  "dit</w>": 2524,
-  "dita</w>": 47965,
-  "ditch": 43715,
-  "ditch</w>": 19291,
-  "dited</w>": 40392,
-  "diti": 2363,
-  "dition": 16452,
-  "dition</w>": 3015,
-  "ditional</w>": 4322,
-  "ditions</w>": 4503,
-  "dito</w>": 43705,
-  "dits</w>": 49374,
-  "dity</w>": 16436,
-  "dium</w>": 2903,
-  "div": 5293,
-  "div</w>": 14869,
-  "diva</w>": 13605,
-  "divas</w>": 23534,
-  "dive": 26042,
-  "dive</w>": 9058,
-  "diver": 13119,
-  "diver</w>": 22094,
-  "divergence</w>": 48735,
-  "divergent</w>": 36132,
-  "divers": 30241,
-  "divers</w>": 27038,
-  "diverse</w>": 11464,
-  "diversi": 24475,
-  "diversion</w>": 38457,
-  "diversity": 35634,
-  "diversity</w>": 6257,
-  "diverted</w>": 41049,
-  "dives</w>": 13893,
-  "divi": 8375,
-  "divid": 31337,
-  "divide</w>": 18842,
-  "divided</w>": 18689,
-  "dividend</w>": 32067,
-  "dividends</w>": 45146,
-  "dividing</w>": 45605,
-  "divin": 21838,
-  "divine": 46919,
-  "divine</w>": 10976,
-  "diving</w>": 9886,
-  "divinity</w>": 39754,
-  "divisi": 39196,
-  "division</w>": 5378,
-  "divisional</w>": 40912,
-  "divisions</w>": 33715,
-  "divor": 13543,
-  "divorce</w>": 17060,
-  "divorced</w>": 39437,
-  "divya</w>": 47767,
-  "diwali</w>": 18218,
-  "dix": 45838,
-  "dix</w>": 27620,
-  "dixie</w>": 24484,
-  "dixit</w>": 28279,
-  "dixon</w>": 16086,
-  "diy": 28472,
-  "diy</w>": 7845,
-  "diya</w>": 36459,
-  "diz</w>": 32740,
-  "dized</w>": 36232,
-  "dizz": 40239,
-  "dizzy</w>": 35464,
-  "dj": 3761,
-  "dj</w>": 3723,
-  "djan": 35338,
-  "django</w>": 46498,
-  "dji": 35284,
-  "dji</w>": 28379,
-  "djing</w>": 36113,
-  "djo": 19432,
-  "djoker": 42721,
-  "djokernole</w>": 42830,
-  "djokovic</w>": 27944,
-  "djs</w>": 18117,
-  "dk": 20702,
-  "dk</w>": 16196,
-  "dl": 12558,
-  "dl</w>": 9373,
-  "dlc</w>": 19079,
-  "dle": 11057,
-  "dle</w>": 3287,
-  "dled</w>": 23494,
-  "dler</w>": 40279,
-  "dles</w>": 7890,
-  "dless</w>": 14997,
-  "dley</w>": 12808,
-  "dling</w>": 18221,
-  "dly</w>": 3069,
-  "dm": 19070,
-  "dm</w>": 4667,
-  "dma</w>": 42903,
-  "dman</w>": 18826,
-  "dmc</w>": 28991,
-  "dmit": 31607,
-  "dmitry</w>": 48326,
-  "dms</w>": 19955,
-  "dmv</w>": 27508,
-  "dmx</w>": 45255,
-  "dn": 11552,
-  "dn</w>": 7459,
-  "dna</w>": 8790,
-  "dnb</w>": 35422,
-  "dnc</w>": 20237,
-  "dnd</w>": 11678,
-  "dnr</w>": 37051,
-  "dns</w>": 39245,
-  "dnt</w>": 26795,
-  "do": 639,
-  "do</w>": 818,
-  "doa</w>": 48332,
-  "dob": 29640,
-  "doba</w>": 35605,
-  "dobbs</w>": 43006,
-  "dobson</w>": 46888,
-  "doc": 3009,
-  "doc</w>": 7251,
-  "doch</w>": 25101,
-  "dock": 17311,
-  "dock</w>": 8997,
-  "docked</w>": 46784,
-  "docker</w>": 31152,
-  "docking</w>": 40845,
-  "docks</w>": 24091,
-  "docs</w>": 15157,
-  "doctor": 7872,
-  "doctor</w>": 5547,
-  "doctoral</w>": 23649,
-  "doctorate</w>": 39134,
-  "doctors</w>": 9705,
-  "doctorwho</w>": 12996,
-  "doctr": 28497,
-  "doctrine</w>": 35612,
-  "docu": 4433,
-  "document": 29293,
-  "document</w>": 15121,
-  "documentaries</w>": 44209,
-  "documentary</w>": 7881,
-  "documentation</w>": 31560,
-  "documented</w>": 22310,
-  "documenting</w>": 37876,
-  "documents</w>": 14105,
-  "dod": 13847,
-  "dod</w>": 30187,
-  "dodd</w>": 36748,
-  "dodge": 31263,
-  "dodge</w>": 12093,
-  "dodgeball</w>": 43244,
-  "dodger</w>": 31641,
-  "dodgers</w>": 12422,
-  "dodgy</w>": 37727,
-  "doe</w>": 13296,
-  "does": 2397,
-  "does</w>": 1897,
-  "doesn</w>": 2503,
-  "doesnt</w>": 17937,
-  "dof": 8277,
-  "doff</w>": 20193,
-  "dofficial</w>": 42516,
-  "dog": 4326,
-  "dog</w>": 1929,
-  "dogcelebration</w>": 41819,
-  "dogday</w>": 27475,
-  "doge</w>": 42187,
-  "dogg</w>": 20749,
-  "doggie</w>": 32237,
-  "doggo</w>": 42155,
-  "doggy</w>": 26359,
-  "doglo": 40733,
-  "dogre": 40030,
-  "dogrescue</w>": 44158,
-  "dogs": 42182,
-  "dogs</w>": 3255,
-  "dogsoftwitter</w>": 19415,
-  "doh</w>": 23581,
-  "doha</w>": 20908,
-  "doherty</w>": 31774,
-  "doi</w>": 36361,
-  "doin</w>": 15412,
-  "doing": 37408,
-  "doing</w>": 1960,
-  "doit": 32272,
-  "doit</w>": 28109,
-  "doj</w>": 25700,
-  "dojo</w>": 35901,
-  "dok": 40547,
-  "dok</w>": 41034,
-  "doka</w>": 46528,
-  "dol": 2287,
-  "dol</w>": 19170,
-  "dola</w>": 38005,
-  "dolan</w>": 27200,
-  "dolby</w>": 42414,
-  "dolce": 30033,
-  "dolce</w>": 30661,
-  "dole</w>": 41040,
-  "doll": 27031,
-  "doll</w>": 9286,
-  "dollar": 35092,
-  "dollar</w>": 7474,
-  "dollars</w>": 10669,
-  "dolls</w>": 15090,
-  "dolly": 43281,
-  "dolly</w>": 23821,
-  "dolom": 37137,
-  "dolores</w>": 40741,
-  "dolph": 8900,
-  "dolph</w>": 22257,
-  "dolphin": 42963,
-  "dolphin</w>": 16464,
-  "dolphins</w>": 14002,
-  "dom": 2164,
-  "dom</w>": 1919,
-  "domain</w>": 15492,
-  "domaine</w>": 48744,
-  "domains</w>": 36358,
-  "dome": 8515,
-  "dome</w>": 9827,
-  "domen": 37584,
-  "domest": 21936,
-  "domestic": 28189,
-  "domestic</w>": 9043,
-  "domin": 4361,
-  "dominance</w>": 30546,
-  "dominant</w>": 20565,
-  "dominate</w>": 21431,
-  "dominated</w>": 23048,
-  "dominates</w>": 34043,
-  "dominating</w>": 29303,
-  "domination</w>": 30919,
-  "domingo</w>": 24882,
-  "dominic": 39007,
-  "dominic</w>": 19095,
-  "dominican</w>": 22934,
-  "dominion</w>": 27155,
-  "domino</w>": 30752,
-  "dominos</w>": 39770,
-  "domo</w>": 44293,
-  "doms</w>": 30126,
-  "don": 1067,
-  "don</w>": 847,
-  "dona</w>": 26789,
-  "donal": 42375,
-  "donald": 5990,
-  "donald</w>": 4335,
-  "donaldson</w>": 37783,
-  "donaldtrump</w>": 6652,
-  "donat": 36384,
-  "donate</w>": 6429,
-  "donated</w>": 8705,
-  "donates</w>": 26960,
-  "donating</w>": 12621,
-  "donation</w>": 7924,
-  "donations</w>": 9928,
-  "doncaster": 38008,
-  "doncaster</w>": 25352,
-  "doncasterisgreat</w>": 47333,
-  "done": 5136,
-  "done</w>": 1700,
-  "donegal</w>": 24172,
-  "donesia</w>": 41281,
-  "donet": 33724,
-  "donetsk</w>": 33999,
-  "dong": 26242,
-  "dong</w>": 31478,
-  "dongha": 28365,
-  "donghae</w>": 28945,
-  "donia</w>": 24014,
-  "donkey</w>": 21415,
-  "donkeys</w>": 44644,
-  "donna</w>": 9158,
-  "donne": 30897,
-  "donnein": 38308,
-  "donneinarte</w>": 40193,
-  "donnell</w>": 35118,
-  "donnelly</w>": 39070,
-  "donnie": 47058,
-  "donnie</w>": 30609,
-  "donny": 37291,
-  "donny</w>": 32887,
-  "dono": 14840,
-  "donor</w>": 18013,
-  "donors</w>": 17887,
-  "donovan</w>": 21499,
-  "dons</w>": 22127,
-  "dont": 8094,
-  "dont</w>": 4632,
-  "donut</w>": 18471,
-  "donuts</w>": 13970,
-  "doo": 4543,
-  "doo</w>": 11643,
-  "doodle</w>": 9388,
-  "doodled</w>": 41030,
-  "doodles</w>": 22156,
-  "doodling</w>": 37548,
-  "dooley</w>": 47609,
-  "doom": 23263,
-  "doom</w>": 14344,
-  "doomed</w>": 33251,
-  "doomsday</w>": 41791,
-  "doon</w>": 36612,
-  "doop</w>": 33886,
-  "door": 7188,
-  "door</w>": 2489,
-  "doors</w>": 4228,
-  "doorstep</w>": 19533,
-  "doorway</w>": 46575,
-  "dop": 42381,
-  "dop</w>": 31722,
-  "dope": 42587,
-  "dope</w>": 10094,
-  "doping</w>": 30285,
-  "dopp": 21774,
-  "doppelg": 45216,
-  "doppler</w>": 42540,
-  "dor": 2766,
-  "dor</w>": 8695,
-  "dora</w>": 18104,
-  "dorado</w>": 32350,
-  "dorchester</w>": 32656,
-  "dore</w>": 39423,
-  "dores</w>": 34323,
-  "dorf</w>": 17296,
-  "dori</w>": 49270,
-  "doria</w>": 43186,
-  "dorian</w>": 44016,
-  "doris</w>": 24285,
-  "dork</w>": 36206,
-  "dorm</w>": 24263,
-  "doro": 15498,
-  "doro</w>": 37389,
-  "dorothy</w>": 20805,
-  "dors</w>": 31240,
-  "dorset": 42109,
-  "dorset</w>": 16047,
-  "dorsey</w>": 41607,
-  "dortmund</w>": 24290,
-  "dory</w>": 36135,
-  "dos": 44258,
-  "dos</w>": 5474,
-  "dose</w>": 11497,
-  "doses</w>": 37873,
-  "dossier</w>": 46042,
-  "dost</w>": 44222,
-  "dot": 7473,
-  "dot</w>": 7004,
-  "dota</w>": 23085,
-  "dotcom</w>": 12443,
-  "dote</w>": 31202,
-  "dothis</w>": 47864,
-  "dotnet</w>": 43124,
-  "dotorg</w>": 46587,
-  "dots</w>": 19019,
-  "dotted</w>": 47950,
-  "dou": 1756,
-  "dou</w>": 23608,
-  "doub": 19631,
-  "double": 13013,
-  "double</w>": 3200,
-  "doubled</w>": 24948,
-  "doubleheader</w>": 34668,
-  "doubles</w>": 12539,
-  "doubling</w>": 36850,
-  "doubt": 37071,
-  "doubt</w>": 8671,
-  "doubts</w>": 30894,
-  "douche</w>": 44292,
-  "doug": 20271,
-  "doug</w>": 10758,
-  "dough": 15785,
-  "dough</w>": 14983,
-  "doughnut</w>": 32555,
-  "doughnuts</w>": 31124,
-  "dougie</w>": 46317,
-  "dougla": 9140,
-  "douglas</w>": 10065,
-  "douglass</w>": 45692,
-  "doun</w>": 44785,
-  "dov</w>": 38856,
-  "dova</w>": 26551,
-  "dove": 27511,
-  "dove</w>": 18281,
-  "dover": 43019,
-  "dover</w>": 14683,
-  "doves</w>": 47067,
-  "dow": 8022,
-  "dow</w>": 10688,
-  "dowell</w>": 27344,
-  "down": 1833,
-  "down</w>": 1136,
-  "downe</w>": 46501,
-  "downed</w>": 35814,
-  "downer</w>": 42522,
-  "downers</w>": 43739,
-  "downey</w>": 29429,
-  "downfall</w>": 48702,
-  "downhill</w>": 27387,
-  "downing</w>": 28140,
-  "download": 35076,
-  "download</w>": 3794,
-  "downloadable</w>": 49105,
-  "downloaded</w>": 22961,
-  "downloading</w>": 30519,
-  "downloads</w>": 26481,
-  "downpour</w>": 39034,
-  "downpours</w>": 40160,
-  "downs</w>": 10706,
-  "downside</w>": 41937,
-  "downstairs</w>": 28174,
-  "downstream</w>": 43822,
-  "downtime</w>": 41964,
-  "downton": 45023,
-  "downton</w>": 42668,
-  "downtown": 18230,
-  "downtown</w>": 5061,
-  "downward</w>": 37430,
-  "dowski</w>": 43556,
-  "dox": 44786,
-  "dox</w>": 14510,
-  "doyle</w>": 17728,
-  "doyou": 27256,
-  "doz</w>": 31106,
-  "dozen</w>": 16401,
-  "dozens</w>": 17883,
-  "dp": 23820,
-  "dp</w>": 6465,
-  "dprint</w>": 46644,
-  "dprinting</w>": 16194,
-  "dprk</w>": 47920,
-  "dps</w>": 34288,
-  "dq</w>": 28741,
-  "dr": 1084,
-  "dr</w>": 1701,
-  "dra": 1114,
-  "dra</w>": 7402,
-  "drac": 20168,
-  "dracing</w>": 41253,
-  "dracula</w>": 25405,
-  "draf": 37426,
-  "draft": 30624,
-  "draft</w>": 5198,
-  "drafted</w>": 19129,
-  "drafting</w>": 33528,
-  "drafts</w>": 29194,
-  "drag": 8452,
-  "drag</w>": 12463,
-  "dragged</w>": 27884,
-  "dragging</w>": 37069,
-  "dragon": 9187,
-  "dragon</w>": 5471,
-  "dragonball": 40959,
-  "dragoncon</w>": 47802,
-  "dragonfly</w>": 32824,
-  "dragons</w>": 10203,
-  "dragrace</w>": 40762,
-  "drags</w>": 45368,
-  "drain": 23347,
-  "drain</w>": 19467,
-  "drainage</w>": 25953,
-  "drained</w>": 44630,
-  "drains</w>": 43638,
-  "drainthe": 47337,
-  "drake": 32504,
-  "drake</w>": 8958,
-  "dral</w>": 7503,
-  "dram": 6937,
-  "dram</w>": 32170,
-  "drama</w>": 5055,
-  "dramas</w>": 33467,
-  "dramati": 43512,
-  "dramatic</w>": 11240,
-  "dramatically</w>": 24495,
-  "drank</w>": 21712,
-  "draped</w>": 49113,
-  "drastic</w>": 43159,
-  "drastically</w>": 35478,
-  "drau": 18621,
-  "draw": 17675,
-  "draw</w>": 4001,
-  "drawer</w>": 23219,
-  "drawers</w>": 38975,
-  "drawing": 36996,
-  "drawing</w>": 3610,
-  "drawings</w>": 13397,
-  "drawn</w>": 8893,
-  "draws</w>": 12043,
-  "dray": 25562,
-  "drayton</w>": 49044,
-  "drc</w>": 21434,
-  "dre": 960,
-  "dre</w>": 14584,
-  "dread": 17412,
-  "dread</w>": 31403,
-  "dreaded</w>": 47227,
-  "dreadful</w>": 35846,
-  "dreality</w>": 48367,
-  "dream": 4595,
-  "dream</w>": 2984,
-  "dreambig</w>": 46495,
-  "dreamcast</w>": 47226,
-  "dreamed</w>": 27984,
-  "dreamer</w>": 25692,
-  "dreamers</w>": 27194,
-  "dreaming</w>": 11662,
-  "dreamliner</w>": 49143,
-  "dreams</w>": 4405,
-  "dreamt</w>": 43743,
-  "dreamteam</w>": 40090,
-  "dreamy</w>": 23517,
-  "dred</w>": 10903,
-  "dredge</w>": 48783,
-  "dren": 29068,
-  "dren</w>": 47309,
-  "drenched</w>": 46378,
-  "dres": 48852,
-  "dres</w>": 44697,
-  "dresden</w>": 34836,
-  "dress": 12622,
-  "dress</w>": 2595,
-  "dressage</w>": 36144,
-  "dressed</w>": 6559,
-  "dresser</w>": 26346,
-  "dresses</w>": 8184,
-  "dressing</w>": 6348,
-  "drew": 18792,
-  "drew</w>": 5281,
-  "drex": 33985,
-  "drey": 48271,
-  "dri": 1203,
-  "dri</w>": 28833,
-  "drian</w>": 36870,
-  "dribb": 42153,
-  "dric</w>": 23448,
-  "dridge</w>": 22956,
-  "drie</w>": 40170,
-  "dried</w>": 16037,
-  "drier</w>": 39877,
-  "dries</w>": 33857,
-  "drif": 33585,
-  "drift</w>": 18194,
-  "drifting</w>": 30276,
-  "drill</w>": 11626,
-  "drilled</w>": 46338,
-  "drilling</w>": 18634,
-  "drills</w>": 24378,
-  "drin": 3375,
-  "drin</w>": 47133,
-  "drink": 14131,
-  "drink</w>": 3979,
-  "drinking</w>": 5778,
-  "drinklocal</w>": 45998,
-  "drinks</w>": 6732,
-  "drip</w>": 24050,
-  "dripping</w>": 38787,
-  "dris</w>": 35804,
-  "drive": 11402,
-  "drive</w>": 2620,
-  "driven</w>": 9314,
-  "driver": 27563,
-  "driver</w>": 4383,
-  "driverless</w>": 46769,
-  "drivers</w>": 7384,
-  "drives</w>": 11441,
-  "driveway</w>": 26273,
-  "driving": 37800,
-  "driving</w>": 4161,
-  "drizzle</w>": 28240,
-  "drm</w>": 39674,
-  "dro": 1494,
-  "dro</w>": 12442,
-  "drogba</w>": 49199,
-  "droid</w>": 38016,
-  "drome</w>": 9157,
-  "dron": 43898,
-  "dron</w>": 23360,
-  "drone": 33557,
-  "drone</w>": 9397,
-  "drones</w>": 14006,
-  "droo": 30715,
-  "drool</w>": 41554,
-  "drooling</w>": 44360,
-  "drop": 16407,
-  "drop</w>": 3387,
-  "dropbox</w>": 47216,
-  "dropped</w>": 6792,
-  "dropping</w>": 8339,
-  "drops</w>": 6437,
-  "dros</w>": 47033,
-  "drou": 38558,
-  "drought</w>": 13935,
-  "drove</w>": 13753,
-  "drow": 21159,
-  "drown</w>": 28571,
-  "drowned</w>": 34005,
-  "drowning</w>": 24618,
-  "drs</w>": 21257,
-  "dru": 2275,
-  "dru</w>": 49048,
-  "drug": 20601,
-  "drug</w>": 5600,
-  "drugs</w>": 8021,
-  "druid</w>": 40297,
-  "drum": 13353,
-  "drum</w>": 8698,
-  "drummer</w>": 13618,
-  "drummers</w>": 46191,
-  "drumming</w>": 35480,
-  "drummond</w>": 42213,
-  "drums</w>": 11690,
-  "drun": 15488,
-  "drunk": 37398,
-  "drunk</w>": 8232,
-  "drunken</w>": 28196,
-  "drupal</w>": 46481,
-  "drush</w>": 43009,
-  "drwho</w>": 48342,
-  "dry": 13544,
-  "dry</w>": 4501,
-  "dryer</w>": 24425,
-  "drying</w>": 23203,
-  "ds": 3361,
-  "ds</w>": 646,
-  "dsa</w>": 47607,
-  "dsb": 47168,
-  "dsb</w>": 14257,
-  "dsburg</w>": 47237,
-  "dsc</w>": 37240,
-  "dsd</w>": 45383,
-  "dsley</w>": 40740,
-  "dslr</w>": 33740,
-  "dsm</w>": 39502,
-  "dson</w>": 40310,
-  "dsp</w>": 45291,
-  "dss</w>": 41580,
-  "dstv</w>": 35027,
-  "dt": 13104,
-  "dt</w>": 7427,
-  "dthe": 13863,
-  "dtla</w>": 31885,
-  "dtm</w>": 42407,
-  "dts</w>": 46233,
-  "du": 691,
-  "du</w>": 3686,
-  "dua</w>": 25244,
-  "dual": 39739,
-  "dual</w>": 5347,
-  "duane</w>": 38946,
-  "dub": 14526,
-  "dub</w>": 13144,
-  "duba": 5485,
-  "dubai": 32599,
-  "dubai</w>": 5985,
-  "dubbed</w>": 27740,
-  "dublin": 20707,
-  "dublin</w>": 6145,
-  "dubnation</w>": 47329,
-  "dubois</w>": 48046,
-  "dubrov": 46709,
-  "dubrovnik</w>": 48724,
-  "dubs</w>": 27013,
-  "dubstep</w>": 38303,
-  "dubu": 43257,
-  "duc": 979,
-  "duc</w>": 36446,
-  "ducati</w>": 28570,
-  "ducation</w>": 17197,
-  "duce</w>": 3660,
-  "duchess</w>": 21713,
-  "duck": 12708,
-  "duck</w>": 6910,
-  "ducks</w>": 11202,
-  "duct</w>": 26829,
-  "dude": 48087,
-  "dude</w>": 5710,
-  "dudes</w>": 14449,
-  "dudley</w>": 27324,
-  "due</w>": 2887,
-  "duel</w>": 27143,
-  "dues</w>": 37646,
-  "duet</w>": 25457,
-  "duf": 38713,
-  "duff": 38071,
-  "duff</w>": 21934,
-  "duffy</w>": 23599,
-  "dug": 22743,
-  "dug</w>": 21000,
-  "dugg": 40523,
-  "duggan</w>": 46169,
-  "dugout</w>": 36831,
-  "duh</w>": 26716,
-  "dui</w>": 29693,
-  "duk</w>": 14160,
-  "duke": 18402,
-  "duke</w>": 7732,
-  "dukes</w>": 27914,
-  "dul": 6738,
-  "dulce</w>": 44872,
-  "dulil": 32565,
-  "dulkar</w>": 47980,
-  "dull</w>": 19433,
-  "dulu": 28865,
-  "duluth</w>": 32109,
-  "dulwich</w>": 47343,
-  "dum": 13400,
-  "dum</w>": 11564,
-  "dumb": 15901,
-  "dumb</w>": 12464,
-  "dumbass</w>": 38980,
-  "dummies</w>": 40899,
-  "dummy</w>": 34246,
-  "dump": 12655,
-  "dump</w>": 17146,
-  "dumped</w>": 23768,
-  "dumping</w>": 31707,
-  "dumplings</w>": 35495,
-  "dumps</w>": 45804,
-  "dumpster</w>": 45467,
-  "dun": 2616,
-  "dun</w>": 18284,
-  "dunbar</w>": 41453,
-  "duncan": 31084,
-  "duncan</w>": 13502,
-  "dundal": 38185,
-  "dundas</w>": 39300,
-  "dundee</w>": 18619,
-  "dune": 32833,
-  "dune</w>": 28208,
-  "dunedin</w>": 40121,
-  "dunes</w>": 23526,
-  "dung</w>": 33712,
-  "dungeon": 28812,
-  "dungeon</w>": 22931,
-  "dungeons</w>": 42572,
-  "dungeonsand": 34970,
-  "dungeonsanddragons</w>": 35497,
-  "dunham</w>": 42501,
-  "duni</w>": 43454,
-  "dunk</w>": 17222,
-  "dunkin": 48022,
-  "dunkin</w>": 36415,
-  "dunkirk</w>": 46928,
-  "dunks</w>": 48977,
-  "dunlop</w>": 34753,
-  "dunn</w>": 19185,
-  "dunne</w>": 38538,
-  "dunno</w>": 24502,
-  "duo</w>": 8696,
-  "dup": 36805,
-  "dup</w>": 10445,
-  "duper</w>": 44850,
-  "duplex</w>": 41186,
-  "duplic": 28992,
-  "dupont</w>": 35994,
-  "dur": 4355,
-  "dur</w>": 23230,
-  "dura": 28173,
-  "dura</w>": 47382,
-  "durability</w>": 43671,
-  "durable</w>": 22285,
-  "duran</w>": 28185,
-  "durango</w>": 44443,
-  "durant</w>": 24861,
-  "duras</w>": 27518,
-  "duration</w>": 31663,
-  "durban</w>": 24474,
-  "dure</w>": 19108,
-  "durga</w>": 38456,
-  "durham": 26765,
-  "durham</w>": 14335,
-  "during</w>": 1590,
-  "dus</w>": 9931,
-  "dusa</w>": 28546,
-  "dusk</w>": 19708,
-  "dust": 29723,
-  "dust</w>": 8349,
-  "dusted</w>": 38274,
-  "duster</w>": 46280,
-  "dustin": 42423,
-  "dustin</w>": 21235,
-  "dusting</w>": 41756,
-  "dusty</w>": 22029,
-  "dut": 32625,
-  "dutch": 22277,
-  "dutch</w>": 7991,
-  "duter": 21624,
-  "duterte</w>": 22371,
-  "duties</w>": 19603,
-  "dutt</w>": 30081,
-  "dutton</w>": 42771,
-  "duty</w>": 6458,
-  "duval</w>": 42459,
-  "duvet</w>": 48006,
-  "dux</w>": 28562,
-  "dv": 4288,
-  "dv</w>": 26265,
-  "dvd</w>": 7170,
-  "dvds</w>": 36655,
-  "dvn</w>": 29811,
-  "dvr</w>": 29210,
-  "dw": 8455,
-  "dw</w>": 19997,
-  "dwar": 13487,
-  "dwarf</w>": 22643,
-  "dwayne</w>": 31395,
-  "dwell": 27549,
-  "dwell</w>": 18755,
-  "dwelling</w>": 37098,
-  "dwight</w>": 22473,
-  "dwp</w>": 46976,
-  "dwts</w>": 30220,
-  "dwyer</w>": 43878,
-  "dx": 22717,
-  "dx</w>": 15679,
-  "dy": 1444,
-  "dy</w>": 907,
-  "dyce</w>": 48325,
-  "dye": 37159,
-  "dye</w>": 15997,
-  "dyed</w>": 24906,
-  "dyer</w>": 29495,
-  "dyes</w>": 39874,
-  "dying</w>": 5115,
-  "dyk</w>": 12142,
-  "dyke</w>": 32632,
-  "dylan": 21004,
-  "dylan</w>": 9900,
-  "dyn": 44289,
-  "dyn</w>": 30669,
-  "dynam": 5735,
-  "dynamic</w>": 10057,
-  "dynamics</w>": 14329,
-  "dynamite</w>": 29003,
-  "dynamo</w>": 28281,
-  "dynasty</w>": 14593,
-  "dyne</w>": 42756,
-  "dyou": 11484,
-  "dyour": 22525,
-  "dys": 11022,
-  "dys</w>": 38384,
-  "dysfunction</w>": 36865,
-  "dysfunctional</w>": 40757,
-  "dysle": 33681,
-  "dyslexia</w>": 43199,
-  "dyson</w>": 34475,
-  "dyssey</w>": 17435,
-  "dystop": 28276,
-  "dystopian</w>": 38915,
-  "dz": 24421,
-  "dz</w>": 22913,
-  "dé": 25466,
-  "dü": 46948,
-  "dÃŃ": 46988,
-  "e": 68,
-  "e</w>": 324,
-  "ea": 2150,
-  "ea</w>": 8100,
-  "eable</w>": 20693,
-  "each": 31442,
-  "each</w>": 2416,
-  "eachother</w>": 40792,
-  "ead": 42556,
-  "ead</w>": 45523,
-  "eae</w>": 27446,
-  "eag": 3743,
-  "eager</w>": 21551,
-  "eagerly</w>": 30094,
-  "eagle": 20207,
-  "eagle</w>": 7517,
-  "eagles</w>": 6920,
-  "eal": 48872,
-  "ealing</w>": 40484,
-  "eames</w>": 49072,
-  "eamon": 45954,
-  "ean</w>": 13327,
-  "ear": 1055,
-  "ear</w>": 8373,
-  "earbuds</w>": 47807,
-  "eared</w>": 9127,
-  "earl": 30573,
-  "earl</w>": 14235,
-  "earle</w>": 40292,
-  "earlier</w>": 4297,
-  "earliest</w>": 22097,
-  "early": 15840,
-  "early</w>": 2090,
-  "earn": 33977,
-  "earn</w>": 8465,
-  "earned</w>": 8898,
-  "earnest</w>": 45422,
-  "earning</w>": 14550,
-  "earnings</w>": 15912,
-  "earns</w>": 16760,
-  "earp</w>": 35296,
-  "earphones</w>": 44905,
-  "earring</w>": 28664,
-  "earrings</w>": 9136,
-  "ears</w>": 9861,
-  "eart": 7086,
-  "earth": 5184,
-  "earth</w>": 3475,
-  "earthand": 34229,
-  "earthandclouds</w>": 34480,
-  "earthday</w>": 19481,
-  "earthquake</w>": 10060,
-  "earthquakes</w>": 32895,
-  "earthy</w>": 47139,
-  "earts</w>": 38824,
-  "eas": 5740,
-  "ease</w>": 13574,
-  "easier</w>": 8817,
-  "easiest</w>": 26314,
-  "easily</w>": 8197,
-  "easing</w>": 44825,
-  "easport": 42251,
-  "east": 5022,
-  "east</w>": 2602,
-  "eastbound</w>": 28827,
-  "eastbourne</w>": 38455,
-  "eastenders</w>": 23545,
-  "easter": 14783,
-  "easter</w>": 4811,
-  "eastern": 34522,
-  "eastern</w>": 6311,
-  "eastman</w>": 48280,
-  "easton</w>": 29619,
-  "eastside</w>": 42650,
-  "eastwood</w>": 28270,
-  "easy": 18308,
-  "easy</w>": 3176,
-  "eat": 5418,
-  "eat</w>": 3384,
-  "eaten</w>": 16750,
-  "eater</w>": 24060,
-  "eaters</w>": 37645,
-  "eatery</w>": 46559,
-  "eating</w>": 4371,
-  "eatlocal</w>": 42868,
-  "eaton</w>": 28462,
-  "eats</w>": 13188,
-  "eau</w>": 17608,
-  "eazy</w>": 36536,
-  "eb": 12283,
-  "eb</w>": 8677,
-  "eba</w>": 40889,
-  "ebay": 34412,
-  "ebay</w>": 4099,
-  "eber": 34020,
-  "ebo</w>": 46635,
-  "ebola</w>": 15864,
-  "ebon": 22013,
-  "ebony</w>": 30651,
-  "ebook</w>": 13122,
-  "ebooks</w>": 25774,
-  "ec": 747,
-  "ec</w>": 10879,
-  "eca</w>": 18465,
-  "ecar": 34500,
-  "ecb</w>": 26205,
-  "ecc</w>": 33128,
-  "eccc</w>": 47401,
-  "eccentric</w>": 43228,
-  "eccle": 27494,
-  "ece</w>": 2163,
-  "eces</w>": 5905,
-  "ecg</w>": 45983,
-  "ech": 15797,
-  "ech</w>": 31147,
-  "echel": 41233,
-  "echo": 17366,
-  "echo</w>": 13989,
-  "echoes</w>": 32564,
-  "eci": 31936,
-  "eck": 25866,
-  "eck</w>": 15969,
-  "ecker": 39661,
-  "ecker</w>": 40890,
-  "ecla": 47806,
-  "eclec": 25114,
-  "eclectic</w>": 28382,
-  "eclip": 30841,
-  "eclipse</w>": 11505,
-  "eclub</w>": 38983,
-  "eco": 5106,
-  "eco</w>": 10077,
-  "ecofriendly</w>": 43412,
-  "ecol": 22706,
-  "ecological</w>": 25127,
-  "ecology</w>": 18578,
-  "ecommerce</w>": 15529,
-  "econ": 26755,
-  "econ</w>": 21158,
-  "econom": 2768,
-  "economic": 36649,
-  "economic</w>": 5259,
-  "economical</w>": 48782,
-  "economically</w>": 39406,
-  "economics</w>": 12625,
-  "economies</w>": 27136,
-  "economist</w>": 18836,
-  "economists</w>": 43701,
-  "economy</w>": 5644,
-  "ecor": 28962,
-  "ecosystem</w>": 15788,
-  "ecosystems</w>": 28725,
-  "ecoun": 27924,
-  "ecr</w>": 48572,
-  "ecraft</w>": 11439,
-  "ecs</w>": 23485,
-  "ecstasy</w>": 47286,
-  "ecstatic</w>": 36244,
-  "ect</w>": 25168,
-  "ecu": 13087,
-  "ecu</w>": 32919,
-  "ecuador</w>": 19813,
-  "ecz": 43530,
-  "ed": 843,
-  "ed</w>": 538,
-  "eda</w>": 10804,
-  "edad</w>": 44724,
-  "eday": 39258,
-  "edc</w>": 21245,
-  "edchat</w>": 14702,
-  "edd</w>": 35431,
-  "eddi": 42930,
-  "eddie": 22748,
-  "eddie</w>": 9517,
-  "eddy</w>": 25959,
-  "ede": 29632,
-  "eded</w>": 19555,
-  "edel": 20460,
-  "edelman</w>": 48139,
-  "eden": 23621,
-  "eden</w>": 13741,
-  "eder</w>": 16249,
-  "edes</w>": 36247,
-  "edfringe</w>": 27402,
-  "edg": 35955,
-  "edgar": 33543,
-  "edgar</w>": 17914,
-  "edge": 16914,
-  "edge</w>": 5461,
-  "edged</w>": 39188,
-  "edges</w>": 20938,
-  "edgy</w>": 35393,
-  "edi": 8750,
-  "edi</w>": 27148,
-  "edible</w>": 19795,
-  "edic": 25184,
-  "edics</w>": 30641,
-  "edin": 6524,
-  "edinburgh": 27574,
-  "edinburgh</w>": 8068,
-  "eding</w>": 5742,
-  "edison</w>": 25846,
-  "edit": 8239,
-  "edit</w>": 8013,
-  "edited</w>": 13945,
-  "edith</w>": 28597,
-  "editing</w>": 10178,
-  "edition</w>": 3062,
-  "editions</w>": 21664,
-  "editor</w>": 7661,
-  "editorial</w>": 12325,
-  "editors</w>": 19486,
-  "edits</w>": 24945,
-  "edm": 37843,
-  "edm</w>": 13539,
-  "edmon": 11275,
-  "edmond</w>": 41581,
-  "edmonds</w>": 46520,
-  "edmonton": 37311,
-  "edmonton</w>": 15058,
-  "edmun": 36561,
-  "edmund</w>": 27567,
-  "edna</w>": 39002,
-  "edo": 29145,
-  "edo</w>": 18096,
-  "edon</w>": 41467,
-  "edor": 30184,
-  "edou": 47678,
-  "edp</w>": 46066,
-  "eds</w>": 1941,
-  "edsheeran</w>": 30386,
-  "edt</w>": 15071,
-  "edtech": 41825,
-  "edtech</w>": 15262,
-  "edu": 11757,
-  "edu</w>": 11799,
-  "eduardo</w>": 30604,
-  "educ": 2200,
-  "educate</w>": 17563,
-  "educated</w>": 21447,
-  "education": 22358,
-  "education</w>": 2806,
-  "educational</w>": 10400,
-  "educator</w>": 19875,
-  "educators</w>": 15420,
-  "edwar": 27586,
-  "edward": 26184,
-  "edward</w>": 7450,
-  "edwards</w>": 12627,
-  "edwin": 48718,
-  "edwin</w>": 22471,
-  "edy": 17072,
-  "edy</w>": 4144,
-  "ee": 2644,
-  "ee</w>": 4708,
-  "eed</w>": 17513,
-  "eee": 24632,
-  "eee</w>": 9361,
-  "eeee": 11696,
-  "eeee</w>": 17570,
-  "eeeee</w>": 26938,
-  "eeeeee</w>": 41407,
-  "eek</w>": 46591,
-  "eel</w>": 27462,
-  "eels</w>": 44416,
-  "eem</w>": 27236,
-  "een": 47490,
-  "een</w>": 21230,
-  "eer": 35409,
-  "eer</w>": 31846,
-  "eera</w>": 36664,
-  "eerie</w>": 33846,
-  "ees</w>": 40308,
-  "eet</w>": 48935,
-  "eez</w>": 39033,
-  "ef": 1490,
-  "ef</w>": 1829,
-  "efa</w>": 16999,
-  "eface</w>": 48804,
-  "efan": 33556,
-  "efc</w>": 22065,
-  "efcc</w>": 46087,
-  "efer</w>": 26199,
-  "eff": 20548,
-  "eff</w>": 21715,
-  "effe": 2808,
-  "effec": 3943,
-  "effect</w>": 5436,
-  "effective</w>": 6837,
-  "effectively</w>": 17516,
-  "effectiveness</w>": 26847,
-  "effects</w>": 7331,
-  "effic": 36004,
-  "efficacy</w>": 39937,
-  "effici": 6670,
-  "efficiency</w>": 11823,
-  "efficient</w>": 11334,
-  "efficiently</w>": 32915,
-  "effor": 6356,
-  "effort": 40078,
-  "effort</w>": 6255,
-  "effortless</w>": 41639,
-  "effortlessly</w>": 42320,
-  "efforts</w>": 6847,
-  "efish</w>": 35813,
-  "efl</w>": 27172,
-  "efron</w>": 48111,
-  "efs</w>": 7389,
-  "eg": 8053,
-  "eg</w>": 14599,
-  "ega</w>": 41193,
-  "egan</w>": 42943,
-  "eger": 46704,
-  "eger</w>": 22767,
-  "egg": 13778,
-  "egg</w>": 5911,
-  "eggplant</w>": 34906,
-  "eggs</w>": 7099,
-  "ego": 34712,
-  "ego</w>": 14250,
-  "egos</w>": 43992,
-  "egre": 27044,
-  "egret</w>": 42002,
-  "egy": 5224,
-  "egyp": 10250,
-  "egypt</w>": 7267,
-  "egyptian</w>": 12428,
-  "eh": 9277,
-  "eh</w>": 9135,
-  "eha</w>": 48563,
-  "ehealth</w>": 48617,
-  "ehr": 45271,
-  "ehs</w>": 44648,
-  "ei": 4006,
-  "ei</w>": 18264,
-  "eic": 40251,
-  "eid": 28038,
-  "eid</w>": 13979,
-  "eidmubarak</w>": 46275,
-  "eiffel</w>": 29720,
-  "eigh": 13468,
-  "eight</w>": 7910,
-  "eighteen</w>": 49316,
-  "eighth</w>": 21237,
-  "eighty</w>": 47449,
-  "eil": 29457,
-  "eileen</w>": 31468,
-  "ein": 29944,
-  "ein</w>": 24524,
-  "eindhoven</w>": 47172,
-  "eing</w>": 7702,
-  "einstein</w>": 20587,
-  "eira</w>": 47708,
-  "eis": 13802,
-  "eisen": 25273,
-  "eisenhower</w>": 35562,
-  "either</w>": 6036,
-  "ej": 19887,
-  "ej</w>": 25009,
-  "ejec": 29771,
-  "ek": 4212,
-  "ek</w>": 2092,
-  "el": 544,
-  "el</w>": 832,
-  "ela": 11284,
-  "ela</w>": 3787,
-  "elab</w>": 38866,
-  "elabor": 26034,
-  "elaborate</w>": 33855,
-  "elaine</w>": 22523,
-  "elan": 17763,
-  "elan</w>": 18399,
-  "eland": 24930,
-  "eland</w>": 6275,
-  "elas</w>": 41078,
-  "elast": 27479,
-  "elastic</w>": 30282,
-  "elba</w>": 48598,
-  "elbow</w>": 21965,
-  "eld</w>": 5684,
-  "elder": 11791,
-  "elder</w>": 14416,
-  "elderly</w>": 15455,
-  "elders</w>": 28617,
-  "eldest</w>": 33503,
-  "elding</w>": 28223,
-  "elds</w>": 13466,
-  "ele": 2084,
-  "ele</w>": 9766,
-  "eleague</w>": 36577,
-  "eleanor</w>": 18604,
-  "elearning</w>": 29969,
-  "elec": 1564,
-  "elec</w>": 38768,
-  "elect</w>": 15336,
-  "elected</w>": 8828,
-  "election": 19312,
-  "election</w>": 4247,
-  "electionday</w>": 40540,
-  "elections</w>": 6949,
-  "elector": 16465,
-  "electoral</w>": 19544,
-  "electr": 3654,
-  "electra</w>": 48959,
-  "electri": 23927,
-  "electric": 19547,
-  "electric</w>": 5031,
-  "electrical</w>": 12176,
-  "electrician</w>": 46422,
-  "electricity</w>": 10950,
-  "electrifying</w>": 48843,
-  "electro": 11648,
-  "electro</w>": 23244,
-  "electromagnetic</w>": 46530,
-  "electron</w>": 33396,
-  "electronic": 33865,
-  "electronic</w>": 9273,
-  "electronica</w>": 43119,
-  "electronics</w>": 13081,
-  "eled</w>": 20357,
-  "elee</w>": 44112,
-  "eleg": 8075,
-  "elegance</w>": 19146,
-  "elegant</w>": 11124,
-  "elek": 34559,
-  "elem</w>": 25406,
-  "element</w>": 14909,
-  "elementary</w>": 8143,
-  "elements</w>": 10925,
-  "elen": 30654,
-  "elen</w>": 39164,
-  "elena</w>": 19421,
-  "eleng": 48180,
-  "eleph": 7554,
-  "elephant</w>": 10299,
-  "elephants</w>": 16871,
-  "eler</w>": 24646,
-  "eless": 15244,
-  "eless</w>": 30837,
-  "elets</w>": 19400,
-  "elev": 7921,
-  "elevate</w>": 26736,
-  "elevated</w>": 23967,
-  "elevation</w>": 23826,
-  "elevator</w>": 19021,
-  "eleven": 31617,
-  "eleven</w>": 17795,
-  "elf": 45961,
-  "elf</w>": 11924,
-  "elfie</w>": 39955,
-  "elg": 28790,
-  "elgin</w>": 31868,
-  "eli": 1018,
-  "eli</w>": 6292,
-  "elia</w>": 10956,
-  "elian</w>": 42508,
-  "elias": 47274,
-  "elias</w>": 29902,
-  "elic": 34743,
-  "elic</w>": 13492,
-  "elie": 38677,
-  "elie</w>": 26501,
-  "elier</w>": 14634,
-  "elife": 37429,
-  "elife</w>": 12719,
-  "eligibility</w>": 34937,
-  "eligible</w>": 16978,
-  "elijah</w>": 26065,
-  "elike": 48913,
-  "elim": 9296,
-  "elimin": 11386,
-  "eliminate</w>": 19655,
-  "eliminated</w>": 29075,
-  "eliminating</w>": 36619,
-  "elimination</w>": 24176,
-  "elin": 25353,
-  "elin</w>": 13458,
-  "eline": 46199,
-  "eline</w>": 7153,
-  "eling</w>": 9990,
-  "elio</w>": 47943,
-  "elion</w>": 30682,
-  "elions</w>": 44159,
-  "eliot</w>": 33326,
-  "elis": 23411,
-  "elis</w>": 48021,
-  "elisa": 25610,
-  "elisa</w>": 44051,
-  "elisabeth</w>": 33127,
-  "elise</w>": 27124,
-  "elit": 40882,
-  "elite": 32277,
-  "elite</w>": 6553,
-  "elited": 43943,
-  "elitedangerous</w>": 47138,
-  "elites</w>": 35975,
-  "elius</w>": 35623,
-  "elive": 49338,
-  "elive</w>": 23505,
-  "elives</w>": 49174,
-  "elix": 32926,
-  "elixir</w>": 42887,
-  "eliz": 42844,
-  "eliza": 6132,
-  "eliza</w>": 29992,
-  "elizabeth": 22397,
-  "elizabeth</w>": 7026,
-  "elk": 34013,
-  "elk</w>": 21896,
-  "ell": 826,
-  "ell</w>": 812,
-  "ella": 20692,
-  "ella</w>": 2957,
-  "elland</w>": 43326,
-  "ellar</w>": 38443,
-  "ellas</w>": 37053,
-  "elle": 12818,
-  "elle</w>": 4765,
-  "elled</w>": 13146,
-  "ellen": 14007,
-  "ellen</w>": 12312,
-  "ellenshow</w>": 34812,
-  "eller": 20927,
-  "eller</w>": 4465,
-  "ellers</w>": 19010,
-  "elles</w>": 24431,
-  "elli": 3367,
-  "elli</w>": 6673,
-  "ellic": 38905,
-  "ellie</w>": 16769,
-  "ellier</w>": 44054,
-  "ellin</w>": 40374,
-  "elling</w>": 2220,
-  "ellington</w>": 34477,
-  "ellini</w>": 43256,
-  "elliot</w>": 20761,
-  "elliott": 44456,
-  "elliott</w>": 13788,
-  "ellip": 44816,
-  "ellis</w>": 11553,
-  "ellison</w>": 32295,
-  "ello</w>": 2512,
-  "ellor</w>": 14594,
-  "ells</w>": 2433,
-  "ellu": 35560,
-  "elly": 8041,
-  "elly</w>": 20355,
-  "elm": 25199,
-  "elm</w>": 22082,
-  "elman</w>": 33622,
-  "elmer</w>": 45958,
-  "elmo</w>": 32150,
-  "elo": 6170,
-  "elo</w>": 13490,
-  "elon": 26381,
-  "elon</w>": 20406,
-  "elondon</w>": 47377,
-  "elong": 44363,
-  "elonmusk</w>": 37076,
-  "elope</w>": 23367,
-  "eloqu": 37795,
-  "elos</w>": 44733,
-  "elot</w>": 43490,
-  "elove": 43319,
-  "elove</w>": 19165,
-  "elover</w>": 21732,
-  "elovers</w>": 33946,
-  "els": 35958,
-  "els</w>": 1645,
-  "elsa</w>": 22050,
-  "else": 18857,
-  "else</w>": 3344,
-  "elsewhere</w>": 22906,
-  "elson</w>": 19624,
-  "elt</w>": 18692,
-  "elton</w>": 20758,
-  "elu": 14208,
-  "elusive</w>": 28903,
-  "elves</w>": 29111,
-  "elvi": 47008,
-  "elvis": 47359,
-  "elvis</w>": 14498,
-  "elxn</w>": 37726,
-  "ely": 12189,
-  "ely</w>": 1273,
-  "elyn": 29691,
-  "elyn</w>": 18126,
-  "em": 908,
-  "em</w>": 2270,
-  "ema": 7002,
-  "ema</w>": 11131,
-  "emabiggest": 23101,
-  "emabiggestfans</w>": 29587,
-  "email": 33537,
-  "email</w>": 4462,
-  "emailed</w>": 40470,
-  "emailmarketing</w>": 40188,
-  "emails</w>": 12871,
-  "eman": 24416,
-  "eman</w>": 36868,
-  "emancip": 42996,
-  "emanuel</w>": 35232,
-  "emb": 3692,
-  "embar": 8266,
-  "embaras": 48019,
-  "embark</w>": 33953,
-  "embarra": 11382,
-  "embarrass": 27183,
-  "embarrassed</w>": 28217,
-  "embarrassing</w>": 19653,
-  "embarrassment</w>": 41346,
-  "embassy</w>": 13598,
-  "embe": 46041,
-  "embed": 19703,
-  "embedded</w>": 22046,
-  "embelli": 32144,
-  "embellished</w>": 46992,
-  "ember</w>": 47049,
-  "emblem</w>": 21163,
-  "embo": 23065,
-  "embr": 35267,
-  "embrac": 16928,
-  "embrace</w>": 12118,
-  "embraced</w>": 35739,
-  "embraces</w>": 38404,
-  "embracing</w>": 22196,
-  "embro": 12550,
-  "embroi": 18667,
-  "embroide": 21530,
-  "embroidered</w>": 22381,
-  "embroidery</w>": 20823,
-  "emc": 20897,
-  "emc</w>": 31602,
-  "emcee</w>": 42038,
-  "eme": 22910,
-  "eme</w>": 21548,
-  "emea</w>": 40352,
-  "emed</w>": 11028,
-  "emen</w>": 22033,
-  "ement": 40841,
-  "ement</w>": 2057,
-  "ements</w>": 11058,
-  "emer": 3132,
-  "emer</w>": 25727,
-  "emerald": 46878,
-  "emerald</w>": 16980,
-  "emerge</w>": 22182,
-  "emerged</w>": 26425,
-  "emergen": 24096,
-  "emergence</w>": 39867,
-  "emergencies</w>": 35759,
-  "emergency": 44038,
-  "emergency</w>": 5897,
-  "emerges</w>": 30801,
-  "emerging": 38174,
-  "emerging</w>": 11113,
-  "emeritus</w>": 35333,
-  "emerson</w>": 24147,
-  "emery</w>": 32678,
-  "emi": 44327,
-  "emi</w>": 18525,
-  "emil": 26794,
-  "emil</w>": 40624,
-  "emile</w>": 43926,
-  "emili": 20709,
-  "emilia</w>": 34238,
-  "emilio</w>": 39722,
-  "emily": 14545,
-  "emily</w>": 7640,
-  "emin": 17227,
-  "emin</w>": 23995,
-  "eminem</w>": 22129,
-  "eminent</w>": 33779,
-  "eming</w>": 40398,
-  "emir": 13337,
-  "emir</w>": 47613,
-  "emirates": 47244,
-  "emirates</w>": 17867,
-  "emission</w>": 27761,
-  "emissions</w>": 14172,
-  "emit</w>": 49043,
-  "emma": 18177,
-  "emma</w>": 7445,
-  "emmanuel": 48045,
-  "emmanuel</w>": 20411,
-  "emmett</w>": 45779,
-  "emmy": 35625,
-  "emmy</w>": 17089,
-  "emmys</w>": 21875,
-  "emo": 3738,
-  "emo</w>": 19381,
-  "emoji</w>": 16327,
-  "emojis</w>": 27870,
-  "emon</w>": 34406,
-  "emor": 45034,
-  "emory</w>": 44274,
-  "emotion</w>": 17464,
-  "emotional</w>": 7357,
-  "emotionally</w>": 24088,
-  "emotions</w>": 12904,
-  "emp": 3831,
-  "emp</w>": 41004,
-  "empathy</w>": 22420,
-  "emper": 12522,
-  "emperor</w>": 13828,
-  "empha": 16237,
-  "emphasi": 47176,
-  "emphasis</w>": 29588,
-  "empire": 26212,
-  "empire</w>": 7614,
-  "empires</w>": 46510,
-  "emplo": 3409,
-  "employ": 37290,
-  "employ</w>": 39626,
-  "employe": 5037,
-  "employed</w>": 26567,
-  "employee": 36631,
-  "employee</w>": 9560,
-  "employees</w>": 7377,
-  "employer</w>": 21296,
-  "employers</w>": 17647,
-  "employment</w>": 10959,
-  "empor": 27386,
-  "emporium</w>": 48541,
-  "empower": 13612,
-  "empower</w>": 17230,
-  "empowered</w>": 29087,
-  "empowering</w>": 20086,
-  "empowerment</w>": 15747,
-  "empowers</w>": 46206,
-  "empress</w>": 26656,
-  "empty": 41203,
-  "empty</w>": 7893,
-  "emra": 39259,
-  "ems</w>": 2858,
-  "emt</w>": 46360,
-  "emu": 48149,
-  "emu</w>": 29296,
-  "emul": 23272,
-  "emy": 31076,
-  "en": 524,
-  "en</w>": 576,
-  "ena</w>": 3452,
-  "enab": 17308,
-  "enable</w>": 15642,
-  "enabled</w>": 23666,
-  "enables</w>": 23417,
-  "enabling</w>": 23590,
-  "enam": 41486,
-  "enamel</w>": 22746,
-  "enary</w>": 13132,
-  "enas</w>": 34536,
-  "enation</w>": 20860,
-  "enberg</w>": 15658,
-  "enburg</w>": 28430,
-  "enc</w>": 33169,
-  "enca</w>": 37774,
-  "encan": 30345,
-  "encapsul": 40874,
-  "ence": 6495,
-  "ence</w>": 954,
-  "enced</w>": 6549,
-  "ences</w>": 3777,
-  "enchan": 17290,
-  "enchanted</w>": 28258,
-  "enchanting</w>": 32531,
-  "enchil": 47396,
-  "enci": 32207,
-  "encia</w>": 30068,
-  "encies</w>": 18729,
-  "encing</w>": 10326,
-  "enclosed</w>": 43243,
-  "enclosure</w>": 37419,
-  "encom": 44026,
-  "encore</w>": 20549,
-  "encoun": 17309,
-  "encounter</w>": 13164,
-  "encountered</w>": 32492,
-  "encounters</w>": 25399,
-  "encoura": 6169,
-  "encourage</w>": 12090,
-  "encouraged</w>": 20299,
-  "encouragement</w>": 24959,
-  "encourages</w>": 23848,
-  "encouraging</w>": 15875,
-  "encro": 45822,
-  "encry": 28600,
-  "encryp": 42928,
-  "encrypted</w>": 48710,
-  "encryption</w>": 31423,
-  "ency</w>": 3484,
-  "encyclo": 32104,
-  "encyclopedia</w>": 38376,
-  "end": 945,
-  "end</w>": 806,
-  "enda</w>": 6735,
-  "endale</w>": 20290,
-  "endange": 13990,
-  "endangered</w>": 14931,
-  "ende": 11373,
-  "ende</w>": 40306,
-  "endeav": 18134,
-  "endeavor</w>": 40502,
-  "endeavors</w>": 44394,
-  "endeavour</w>": 38035,
-  "ended</w>": 2622,
-  "endemic</w>": 41241,
-  "endent</w>": 16265,
-  "ender": 48106,
-  "ender</w>": 12383,
-  "enders</w>": 7418,
-  "endez</w>": 43850,
-  "endgame</w>": 23042,
-  "endi</w>": 31359,
-  "ending</w>": 2695,
-  "endings</w>": 36516,
-  "endish</w>": 38841,
-  "endless</w>": 12688,
-  "endlessly</w>": 45145,
-  "endment</w>": 45894,
-  "endo": 13476,
-  "endo</w>": 15830,
-  "endocr": 36486,
-  "endof": 40786,
-  "endome": 46996,
-  "endon</w>": 48018,
-  "endor": 8092,
-  "endorf</w>": 37249,
-  "endorse</w>": 28819,
-  "endorsed</w>": 24307,
-  "endorsement</w>": 21205,
-  "endorses</w>": 34603,
-  "endorsing</w>": 46779,
-  "endow": 45895,
-  "endra</w>": 22321,
-  "ends</w>": 1339,
-  "endthe": 46256,
-  "endu": 26032,
-  "endur": 19557,
-  "endurance</w>": 21027,
-  "endure</w>": 32419,
-  "enduring</w>": 30851,
-  "enduro</w>": 47042,
-  "ene": 3297,
-  "ene</w>": 6049,
-  "ened</w>": 2494,
-  "eneed": 45137,
-  "enegger</w>": 33235,
-  "enei</w>": 48906,
-  "enemies</w>": 15824,
-  "enemy</w>": 10310,
-  "enen</w>": 45113,
-  "ener": 2244,
-  "ener</w>": 13600,
-  "energ": 39451,
-  "energetic</w>": 24197,
-  "energi": 23044,
-  "energies</w>": 42374,
-  "energized</w>": 48635,
-  "energy": 14974,
-  "energy</w>": 2650,
-  "energye": 32271,
-  "energyefficiency</w>": 40586,
-  "eners</w>": 48208,
-  "enes</w>": 42066,
-  "eness</w>": 11806,
-  "enet</w>": 46336,
-  "enew": 29672,
-  "enews</w>": 13442,
-  "eney</w>": 20706,
-  "enez</w>": 33110,
-  "enf": 38167,
-  "enfield</w>": 27808,
-  "enfor": 10592,
-  "enforce</w>": 40224,
-  "enforced</w>": 44597,
-  "enforcement</w>": 12460,
-  "eng": 1035,
-  "eng</w>": 6730,
-  "enga</w>": 22297,
-  "engag": 6793,
-  "engage</w>": 11089,
-  "engaged</w>": 11475,
-  "engagement</w>": 7281,
-  "engaging</w>": 13060,
-  "enge": 26279,
-  "enge</w>": 2742,
-  "engel": 38265,
-  "engen</w>": 48286,
-  "enger</w>": 6618,
-  "engers</w>": 7533,
-  "engine": 3355,
-  "engine</w>": 5857,
-  "engineer": 40151,
-  "engineer</w>": 8517,
-  "engineered</w>": 26580,
-  "engineering</w>": 5273,
-  "engineers</w>": 11494,
-  "engines</w>": 14487,
-  "england": 20904,
-  "england</w>": 3595,
-  "english": 15942,
-  "english</w>": 3469,
-  "engra": 17560,
-  "engraved</w>": 29421,
-  "engraving</w>": 33309,
-  "engul": 43655,
-  "engv": 28401,
-  "enh": 7449,
-  "enhall</w>": 48781,
-  "enham</w>": 24592,
-  "enhan": 26827,
-  "enhance</w>": 13993,
-  "enhanced</w>": 16070,
-  "enhancement</w>": 35601,
-  "enhances</w>": 38259,
-  "enhancing</w>": 25986,
-  "eni": 4395,
-  "eni</w>": 17538,
-  "enic": 46780,
-  "enic</w>": 28292,
-  "enig": 19754,
-  "enig</w>": 48730,
-  "enight": 32848,
-  "enight</w>": 20640,
-  "enigma</w>": 34998,
-  "ening</w>": 1133,
-  "enium</w>": 34380,
-  "enix</w>": 25720,
-  "enjo": 1498,
-  "enjoy": 12981,
-  "enjoy</w>": 2218,
-  "enjoyable</w>": 17444,
-  "enjoyed</w>": 5045,
-  "enjoying</w>": 3603,
-  "enjoyment</w>": 34905,
-  "enjoys</w>": 17024,
-  "enka</w>": 43942,
-  "enko</w>": 25312,
-  "enlar": 38136,
-  "enligh": 21364,
-  "enlighten": 28200,
-  "enlightened</w>": 44032,
-  "enlightening</w>": 44005,
-  "enlightenment</w>": 29255,
-  "enlisted</w>": 43555,
-  "enly</w>": 43023,
-  "enn</w>": 43563,
-  "enna</w>": 8095,
-  "enne": 21176,
-  "enne</w>": 11518,
-  "ennedy</w>": 46266,
-  "ennes</w>": 43613,
-  "enni": 7049,
-  "ennial</w>": 14220,
-  "ennis": 48923,
-  "ennis</w>": 26309,
-  "eno": 9429,
-  "eno</w>": 12843,
-  "enoch</w>": 47917,
-  "enor": 13955,
-  "enormous</w>": 20129,
-  "enos</w>": 44759,
-  "enote</w>": 44955,
-  "enough</w>": 2744,
-  "enow</w>": 26876,
-  "enqu": 28417,
-  "enqui": 22810,
-  "enquire</w>": 46658,
-  "enquiries</w>": 31901,
-  "enquiry</w>": 45141,
-  "enri": 18915,
-  "enrich": 20058,
-  "enrich</w>": 45504,
-  "enriched</w>": 45166,
-  "enrichment</w>": 32903,
-  "enrique</w>": 25489,
-  "enrol": 44279,
-  "enroll": 23739,
-  "enroll</w>": 30366,
-  "enrolled</w>": 36853,
-  "enrollment</w>": 24875,
-  "enroute</w>": 40548,
-  "ens": 41799,
-  "ens</w>": 1323,
-  "ense": 12657,
-  "ense</w>": 27658,
-  "ensemble</w>": 14843,
-  "ensis</w>": 32842,
-  "ensla": 37535,
-  "enslaved</w>": 48675,
-  "ensure</w>": 7492,
-  "ensures</w>": 29707,
-  "ensuring</w>": 19403,
-  "ent": 724,
-  "ent</w>": 621,
-  "enta</w>": 17681,
-  "ental": 32342,
-  "ental</w>": 6168,
-  "entary</w>": 9833,
-  "entation</w>": 37412,
-  "ente": 17433,
-  "ente</w>": 9935,
-  "ented</w>": 3800,
-  "entennial</w>": 43088,
-  "enter": 2963,
-  "enter</w>": 3819,
-  "entered</w>": 10679,
-  "entering</w>": 12580,
-  "enterpri": 7339,
-  "enterprise</w>": 9220,
-  "enterprises</w>": 21219,
-  "enters</w>": 15287,
-  "entertain": 5566,
-  "entertain</w>": 23510,
-  "entertained</w>": 30631,
-  "entertainer</w>": 28674,
-  "entertaining</w>": 13897,
-  "entertainment</w>": 6166,
-  "entes</w>": 24213,
-  "enthr": 36202,
-  "enthusi": 9631,
-  "enthusiasm</w>": 20525,
-  "enthusiast</w>": 27153,
-  "enthusiastic</w>": 22068,
-  "enthusiasts</w>": 27514,
-  "enti": 1938,
-  "ential</w>": 5194,
-  "entially</w>": 37695,
-  "entic</w>": 10340,
-  "entine</w>": 49212,
-  "enting</w>": 20526,
-  "entire</w>": 4709,
-  "entirely</w>": 13911,
-  "entirety</w>": 43242,
-  "entit": 15209,
-  "entities</w>": 38134,
-  "entitled</w>": 18680,
-  "entity</w>": 28455,
-  "ently</w>": 2922,
-  "ento": 21917,
-  "ento</w>": 8762,
-  "entom": 31676,
-  "entourage</w>": 47893,
-  "entr": 7129,
-  "entrance</w>": 9129,
-  "entrata</w>": 27304,
-  "entre": 34188,
-  "entre</w>": 19600,
-  "entren": 46959,
-  "entrepre": 4583,
-  "entreprene": 4789,
-  "entrepreneu": 26784,
-  "entrepreneur": 12119,
-  "entrepreneur</w>": 8033,
-  "entrepreneurial</w>": 28261,
-  "entrepreneurs</w>": 11054,
-  "entrepreneurship</w>": 12858,
-  "entries</w>": 13766,
-  "entry</w>": 5362,
-  "ents</w>": 870,
-  "entu": 6650,
-  "enty</w>": 5657,
-  "enu": 23430,
-  "env": 32280,
-  "env</w>": 39207,
-  "envel": 20052,
-  "envelope</w>": 27358,
-  "envir": 3512,
-  "enviro</w>": 46200,
-  "environ": 3599,
-  "environment": 33039,
-  "environment</w>": 5501,
-  "environmental</w>": 7831,
-  "environmentally</w>": 32855,
-  "environments</w>": 19577,
-  "envision</w>": 49031,
-  "envoy</w>": 29263,
-  "envy</w>": 21017,
-  "eny</w>": 20482,
-  "enya</w>": 36509,
-  "enyc</w>": 39520,
-  "enz": 25805,
-  "enz</w>": 31873,
-  "enza</w>": 25239,
-  "enzie</w>": 14839,
-  "enzo</w>": 31543,
-  "enzyme</w>": 40348,
-  "enzymes</w>": 47465,
-  "eo": 16054,
-  "eo</w>": 11712,
-  "eoin</w>": 48634,
-  "eon</w>": 31915,
-  "eos</w>": 17805,
-  "ep": 1178,
-  "ep</w>": 1117,
-  "epa</w>": 15866,
-  "epage</w>": 26931,
-  "epaper</w>": 33584,
-  "epcot</w>": 32524,
-  "eper</w>": 43071,
-  "eph": 45752,
-  "eph</w>": 41240,
-  "ephe": 25129,
-  "epi": 7219,
-  "epi</w>": 34641,
-  "epic": 12683,
-  "epic</w>": 4991,
-  "epiconetsy</w>": 49222,
-  "epide": 17382,
-  "epidemi": 44447,
-  "epidemic</w>": 21522,
-  "epile": 23150,
-  "epilepsy</w>": 29547,
-  "epilo": 31291,
-  "epilots</w>": 39766,
-  "epiph": 40561,
-  "epiphany</w>": 43251,
-  "epis": 24616,
-  "episcop": 28037,
-  "episcopal</w>": 31221,
-  "episo": 2708,
-  "episode</w>": 2965,
-  "episodes</w>": 11837,
-  "epit": 21967,
-  "epitome</w>": 35114,
-  "epl</w>": 25950,
-  "epo": 25810,
-  "epp": 39054,
-  "epp</w>": 39593,
-  "eps</w>": 4090,
-  "epsilon</w>": 40019,
-  "epsom</w>": 40364,
-  "epstein</w>": 34688,
-  "eq": 39331,
-  "eq</w>": 33692,
-  "equ": 2563,
-  "equal": 17373,
-  "equal</w>": 10433,
-  "equality": 48981,
-  "equality</w>": 9578,
-  "equally</w>": 18172,
-  "equals</w>": 30278,
-  "equation</w>": 28591,
-  "equations</w>": 38225,
-  "eque": 19518,
-  "equestrian</w>": 24728,
-  "equi": 8752,
-  "equili": 43262,
-  "equine</w>": 33801,
-  "equinox</w>": 32652,
-  "equip": 6526,
-  "equip</w>": 36979,
-  "equipment</w>": 6893,
-  "equipo</w>": 45688,
-  "equipped</w>": 18331,
-  "equitable</w>": 44717,
-  "equities</w>": 44015,
-  "equity</w>": 11293,
-  "equivalent</w>": 19489,
-  "er": 517,
-  "er</w>": 528,
-  "era": 30548,
-  "era</w>": 2072,
-  "erable</w>": 18801,
-  "erad": 24194,
-  "eradic": 36346,
-  "eradicate</w>": 46164,
-  "eral</w>": 6222,
-  "eran</w>": 13069,
-  "eras": 19325,
-  "eras</w>": 39090,
-  "erase</w>": 33893,
-  "erased</w>": 46762,
-  "erasmus</w>": 38935,
-  "erc": 5360,
-  "erc</w>": 32382,
-  "erd</w>": 25645,
-  "erdo": 21112,
-  "erdogan</w>": 24453,
-  "ere": 17907,
-  "ere</w>": 642,
-  "erec": 21526,
-  "erected</w>": 39365,
-  "ered</w>": 9097,
-  "eres</w>": 15751,
-  "ergon": 38120,
-  "ergy</w>": 19550,
-  "eri": 2769,
-  "eri</w>": 9509,
-  "eria</w>": 11634,
-  "erial</w>": 5409,
-  "eric": 1206,
-  "eric</w>": 5396,
-  "erica</w>": 13208,
-  "erich</w>": 26070,
-  "erick": 27434,
-  "erick</w>": 36959,
-  "erickson</w>": 45286,
-  "ericsson</w>": 39645,
-  "eridge</w>": 45408,
-  "erie</w>": 7005,
-  "eries</w>": 9099,
-  "erik": 22805,
-  "erik</w>": 16532,
-  "erika</w>": 25531,
-  "erin": 17532,
-  "erin</w>": 11333,
-  "erina</w>": 25176,
-  "ering</w>": 1785,
-  "erit": 23335,
-  "eritrea</w>": 30738,
-  "erjee</w>": 41665,
-  "erly</w>": 14380,
-  "erm</w>": 31649,
-  "erman</w>": 17990,
-  "ern": 6992,
-  "ern</w>": 12140,
-  "ernal</w>": 20868,
-  "ernan</w>": 34617,
-  "ernation</w>": 48796,
-  "erne": 33930,
-  "ernest</w>": 23006,
-  "ernie</w>": 23636,
-  "ernity</w>": 14653,
-  "erno</w>": 40812,
-  "ernst</w>": 30099,
-  "ero": 3211,
-  "ero</w>": 3732,
-  "erock</w>": 38206,
-  "eron</w>": 32837,
-  "eroom</w>": 46690,
-  "eros</w>": 30597,
-  "erose</w>": 48657,
-  "erosion</w>": 30174,
-  "erotic</w>": 30708,
-  "erotica</w>": 39126,
-  "erous</w>": 6384,
-  "eroy</w>": 36461,
-  "erp</w>": 28268,
-  "err": 22479,
-  "err</w>": 25346,
-  "erra</w>": 48446,
-  "errands</w>": 45485,
-  "error</w>": 12097,
-  "errors</w>": 21195,
-  "erry": 45236,
-  "erry</w>": 24124,
-  "ers": 4840,
-  "ers</w>": 612,
-  "ersfc</w>": 37925,
-  "ership</w>": 2884,
-  "erson": 25780,
-  "erson</w>": 6811,
-  "ert": 40325,
-  "ert</w>": 3112,
-  "erta</w>": 32007,
-  "erton</w>": 26245,
-  "erts</w>": 12921,
-  "eru": 36068,
-  "erun</w>": 41642,
-  "erup": 17093,
-  "erupted</w>": 48862,
-  "eruption</w>": 33705,
-  "erville</w>": 37557,
-  "erwin</w>": 43724,
-  "ery": 12467,
-  "ery</w>": 1692,
-  "erz</w>": 38711,
-  "es": 957,
-  "es</w>": 542,
-  "esa": 46834,
-  "esa</w>": 12489,
-  "esanders</w>": 23099,
-  "esc": 3330,
-  "esc</w>": 28420,
-  "escal": 15902,
-  "escap": 11499,
-  "escape": 32484,
-  "escape</w>": 7568,
-  "escaped</w>": 18707,
-  "escapes</w>": 29916,
-  "escaping</w>": 21767,
-  "escar": 39229,
-  "escence</w>": 37972,
-  "esch": 46760,
-  "esch</w>": 41945,
-  "esco": 32482,
-  "escobar</w>": 48807,
-  "escor": 24360,
-  "escort</w>": 24976,
-  "escorted</w>": 47667,
-  "escorts</w>": 48574,
-  "escu": 36517,
-  "esday</w>": 19553,
-  "ese": 18766,
-  "ese</w>": 2260,
-  "esg</w>": 41674,
-  "esh": 17119,
-  "esh</w>": 13407,
-  "esha</w>": 28799,
-  "eshop": 38451,
-  "eshop</w>": 45570,
-  "eshopsuk</w>": 39349,
-  "esi</w>": 30064,
-  "esis</w>": 12414,
-  "esk": 19359,
-  "esl</w>": 26201,
-  "eso": 29890,
-  "eso</w>": 28921,
-  "esof": 17047,
-  "eson": 46845,
-  "esp": 3849,
-  "esp</w>": 13870,
-  "espa": 37301,
-  "espan": 41731,
-  "españa</w>": 41118,
-  "especially</w>": 4878,
-  "esper": 29216,
-  "espino": 46633,
-  "espionage</w>": 43498,
-  "espn": 22917,
-  "espn</w>": 7540,
-  "espnu</w>": 47747,
-  "espo": 34381,
-  "esports</w>": 16035,
-  "espresso</w>": 17098,
-  "esq</w>": 47352,
-  "esqu": 34616,
-  "esque</w>": 25877,
-  "ess": 3118,
-  "ess</w>": 9764,
-  "essa</w>": 39125,
-  "essay</w>": 12751,
-  "essays</w>": 27328,
-  "esse</w>": 22305,
-  "essen</w>": 30489,
-  "essence</w>": 17830,
-  "essenti": 11163,
-  "essential": 47264,
-  "essential</w>": 6895,
-  "essentially</w>": 30042,
-  "essentials</w>": 16191,
-  "essex": 30563,
-  "essex</w>": 11623,
-  "est": 2291,
-  "est</w>": 1509,
-  "esta": 41449,
-  "esta</w>": 10135,
-  "estab": 7010,
-  "establi": 8412,
-  "establish</w>": 19709,
-  "established</w>": 13143,
-  "establishing</w>": 29420,
-  "establishment</w>": 20213,
-  "estas</w>": 39072,
-  "estate": 47130,
-  "estate</w>": 6159,
-  "estates</w>": 26054,
-  "este": 12968,
-  "este</w>": 20579,
-  "esteban</w>": 48381,
-  "esteem</w>": 31541,
-  "esteemed</w>": 36293,
-  "ester</w>": 45808,
-  "esthe": 18468,
-  "esther</w>": 24393,
-  "estim": 8904,
-  "estimate</w>": 21883,
-  "estimated</w>": 16665,
-  "estimates</w>": 21957,
-  "esto": 31589,
-  "esto</w>": 23958,
-  "estonia</w>": 26260,
-  "estonian</w>": 48895,
-  "estrada</w>": 48116,
-  "estre": 31271,
-  "estu": 26272,
-  "estuary</w>": 35269,
-  "esur": 35758,
-  "esville</w>": 39187,
-  "esy": 46268,
-  "et": 1169,
-  "et</w>": 875,
-  "eta</w>": 8761,
-  "etal</w>": 25221,
-  "etary</w>": 13074,
-  "etc</w>": 5353,
-  "etched</w>": 40411,
-  "etching</w>": 41375,
-  "ete": 38820,
-  "ete</w>": 40245,
-  "eter": 8587,
-  "eter</w>": 17007,
-  "eternal</w>": 13732,
-  "eternally</w>": 48486,
-  "eternity</w>": 23832,
-  "eters</w>": 18392,
-  "etf</w>": 31661,
-  "eth": 4819,
-  "eth</w>": 5927,
-  "ethan": 24245,
-  "ethan</w>": 15958,
-  "ethanol</w>": 38166,
-  "ethe": 21312,
-  "ethel</w>": 45921,
-  "ether": 23349,
-  "ethere": 18705,
-  "ethereal</w>": 40925,
-  "ethereum</w>": 19612,
-  "ethernet</w>": 35026,
-  "ethi": 10327,
-  "ethic</w>": 39104,
-  "ethical": 47041,
-  "ethical</w>": 17679,
-  "ethics</w>": 13355,
-  "ethiop": 10897,
-  "ethiopia</w>": 13920,
-  "ethiopian</w>": 24507,
-  "ethnic": 30522,
-  "ethnic</w>": 16344,
-  "ethnicity</w>": 46787,
-  "ethno": 34225,
-  "ethos</w>": 48768,
-  "eti": 11188,
-  "eti</w>": 30394,
-  "etienne</w>": 46118,
-  "eties</w>": 15137,
-  "etihad</w>": 38489,
-  "etiquette</w>": 37957,
-  "etis": 38216,
-  "etisation</w>": 39733,
-  "etna</w>": 41940,
-  "eto": 27829,
-  "eto</w>": 33837,
-  "eton</w>": 44339,
-  "etour</w>": 41462,
-  "etr": 23012,
-  "etres</w>": 42838,
-  "ets</w>": 3442,
-  "etsy": 13237,
-  "etsy</w>": 6282,
-  "etsym": 22902,
-  "etsymntt</w>": 25416,
-  "etsyshop</w>": 44643,
-  "ett": 32729,
-  "ett</w>": 24998,
-  "etta</w>": 30466,
-  "ette": 19981,
-  "ette</w>": 5212,
-  "ettes</w>": 35326,
-  "etto</w>": 44219,
-  "etty</w>": 40759,
-  "etu": 36593,
-  "etv": 49155,
-  "etv</w>": 20325,
-  "etwork</w>": 20585,
-  "ety": 25920,
-  "ety</w>": 2746,
-  "etz": 36181,
-  "etz</w>": 25301,
-  "eu": 1506,
-  "eu</w>": 3238,
-  "eucalyp": 41068,
-  "eucalyptus</w>": 42351,
-  "euchar": 38362,
-  "eugen": 30678,
-  "eugene</w>": 17760,
-  "eul": 46749,
-  "eun": 16431,
-  "eun</w>": 26219,
-  "eunhyuk</w>": 47526,
-  "eup": 44435,
-  "euph": 21386,
-  "euphoria</w>": 41051,
-  "eur": 18343,
-  "eur</w>": 12018,
-  "eura": 32605,
-  "eure": 25311,
-  "euref</w>": 48017,
-  "eureka</w>": 31686,
-  "euro": 2039,
-  "euro</w>": 8463,
-  "euroleague</w>": 46821,
-  "europa</w>": 18290,
-  "europale": 42473,
-  "europaleague</w>": 44029,
-  "europarl</w>": 44922,
-  "europe": 4198,
-  "europe</w>": 3848,
-  "european": 26712,
-  "european</w>": 4759,
-  "europeans</w>": 37082,
-  "euros</w>": 22274,
-  "eurovision</w>": 17593,
-  "eurozone</w>": 42555,
-  "eurusd</w>": 40895,
-  "eus</w>": 44214,
-  "euston</w>": 46905,
-  "euthan": 43280,
-  "euve</w>": 40652,
-  "eux</w>": 25019,
-  "ev": 776,
-  "ev</w>": 10133,
-  "eva</w>": 6845,
-  "evacu": 13187,
-  "evacuated</w>": 26806,
-  "evacuation</w>": 27353,
-  "eval": 25139,
-  "eval</w>": 9703,
-  "evalu": 10314,
-  "evaluate</w>": 27174,
-  "evaluating</w>": 34541,
-  "evaluation</w>": 17640,
-  "evan": 12821,
-  "evan</w>": 12847,
-  "evangel": 20518,
-  "evangeli": 21372,
-  "evangelical</w>": 36151,
-  "evangelist</w>": 42275,
-  "evankirstel</w>": 46581,
-  "evans</w>": 8836,
-  "evansville</w>": 44782,
-  "evapor": 33352,
-  "evasion</w>": 48795,
-  "eve": 5732,
-  "eve</w>": 1866,
-  "eved</w>": 19820,
-  "evel": 39315,
-  "evelyn</w>": 26687,
-  "evement</w>": 8210,
-  "even": 6359,
-  "even</w>": 1427,
-  "evening": 34487,
-  "evening</w>": 2285,
-  "evenings</w>": 19994,
-  "evenly</w>": 45974,
-  "event": 10612,
-  "event</w>": 1655,
-  "eventful</w>": 45628,
-  "evento</w>": 38155,
-  "eventprofs</w>": 24980,
-  "events</w>": 3667,
-  "eventu": 14055,
-  "eventual</w>": 45321,
-  "eventually</w>": 14397,
-  "ever": 888,
-  "ever</w>": 1247,
-  "everest</w>": 21722,
-  "everett</w>": 25456,
-  "everglades</w>": 46294,
-  "evergreen</w>": 23852,
-  "everlasting</w>": 32849,
-  "evers</w>": 31914,
-  "everton</w>": 13315,
-  "every": 1091,
-  "every</w>": 1505,
-  "everybody</w>": 5901,
-  "everyday": 25049,
-  "everyday</w>": 5160,
-  "everyone</w>": 1584,
-  "everything": 36376,
-  "everything</w>": 2410,
-  "everytime</w>": 16911,
-  "everywhere</w>": 6364,
-  "eves</w>": 7323,
-  "evi": 5348,
-  "evi</w>": 36989,
-  "evic": 21336,
-  "eviction</w>": 37111,
-  "eviden": 46220,
-  "evidence</w>": 6439,
-  "evident</w>": 34529,
-  "evie</w>": 47195,
-  "evil": 23218,
-  "evil</w>": 6006,
-  "eville</w>": 16143,
-  "eving</w>": 24729,
-  "evo": 17962,
-  "evo</w>": 13169,
-  "evoc": 43133,
-  "evol": 5350,
-  "evolu": 7725,
-  "evolution</w>": 8902,
-  "evolutionary</w>": 30629,
-  "evolve</w>": 23406,
-  "evolved</w>": 22613,
-  "evolving</w>": 23675,
-  "evp</w>": 46154,
-  "evs</w>": 33576,
-  "ew": 11942,
-  "ew</w>": 15428,
-  "ewan</w>": 40247,
-  "ewe</w>": 48438,
-  "ewing</w>": 38873,
-  "ews</w>": 9878,
-  "ex": 659,
-  "ex</w>": 4118,
-  "exac": 5460,
-  "exact</w>": 12651,
-  "exactly</w>": 5840,
-  "exagger": 29766,
-  "exal": 49324,
-  "exam": 4428,
-  "exam</w>": 8785,
-  "examination</w>": 20970,
-  "examine</w>": 25728,
-  "examined</w>": 44004,
-  "examiner</w>": 29149,
-  "examines</w>": 28160,
-  "examining</w>": 30616,
-  "example</w>": 6228,
-  "examples</w>": 14790,
-  "exams</w>": 14028,
-  "exas</w>": 47536,
-  "exc": 1302,
-  "excav": 20733,
-  "excavation</w>": 45909,
-  "exce": 10999,
-  "exceed</w>": 32521,
-  "exceeded</w>": 36221,
-  "exceeding</w>": 47213,
-  "exceeds</w>": 49353,
-  "excel": 28351,
-  "excel</w>": 18754,
-  "excell": 3298,
-  "excellence</w>": 8171,
-  "excellency</w>": 36503,
-  "excellent</w>": 4239,
-  "excelsi": 47315,
-  "excep": 8882,
-  "except</w>": 8541,
-  "exception</w>": 25018,
-  "exceptional</w>": 13425,
-  "exceptionally</w>": 29306,
-  "excer": 17737,
-  "excerpt</w>": 20586,
-  "excess</w>": 22491,
-  "excessive</w>": 21332,
-  "exchange</w>": 6616,
-  "exchanged</w>": 48919,
-  "exchanges</w>": 29730,
-  "exchanging</w>": 47760,
-  "excit": 10510,
-  "excite</w>": 47711,
-  "excited</w>": 1889,
-  "excitement</w>": 11407,
-  "exciting</w>": 4300,
-  "exclu": 3114,
-  "exclude</w>": 49235,
-  "excluded</w>": 46216,
-  "excluding</w>": 44326,
-  "exclusion</w>": 40219,
-  "exclusive</w>": 3747,
-  "exclusively</w>": 13565,
-  "exclusives</w>": 47149,
-  "excu": 7324,
-  "excur": 27533,
-  "excursion</w>": 34869,
-  "excuse</w>": 9266,
-  "excuses</w>": 19388,
-  "exe": 3554,
-  "exe</w>": 48027,
-  "exec</w>": 15052,
-  "execs</w>": 35728,
-  "execu": 4360,
-  "execute</w>": 36405,
-  "executed</w>": 20432,
-  "execution</w>": 18085,
-  "executive</w>": 5944,
-  "executives</w>": 24357,
-  "exem": 19753,
-  "exemp": 28602,
-  "exempl": 36371,
-  "exemplary</w>": 39123,
-  "exempli": 41934,
-  "exempt</w>": 44278,
-  "exemption</w>": 47481,
-  "exer": 40295,
-  "exerc": 5932,
-  "exercise</w>": 7016,
-  "exercises</w>": 19669,
-  "exercising</w>": 39036,
-  "exeter": 32137,
-  "exeter</w>": 18837,
-  "exfoli": 38823,
-  "exhau": 11154,
-  "exhaust</w>": 21812,
-  "exhausted</w>": 21741,
-  "exhausting</w>": 40035,
-  "exhaustion</w>": 49221,
-  "exhi": 3022,
-  "exhib": 3783,
-  "exhibit": 24992,
-  "exhibit</w>": 8209,
-  "exhibiting</w>": 23889,
-  "exhibition</w>": 4219,
-  "exhibitions</w>": 28311,
-  "exhibitor</w>": 44192,
-  "exhibitors</w>": 38542,
-  "exhibits</w>": 30093,
-  "exhilar": 40262,
-  "exhilarating</w>": 49289,
-  "exi": 5297,
-  "exico</w>": 38712,
-  "exile</w>": 28566,
-  "exist": 10899,
-  "exist</w>": 9645,
-  "existed</w>": 23198,
-  "existence</w>": 13832,
-  "existent</w>": 43541,
-  "existential</w>": 38752,
-  "existing</w>": 12886,
-  "exists</w>": 14608,
-  "exit</w>": 9374,
-  "exited</w>": 37581,
-  "exiting</w>": 39577,
-  "exits</w>": 34943,
-  "exmoor</w>": 48260,
-  "exo": 15600,
-  "exo</w>": 5842,
-  "exodus</w>": 30098,
-  "exol</w>": 42856,
-  "exop": 35288,
-  "exoplan": 37980,
-  "exor": 24506,
-  "exorcist</w>": 46309,
-  "exotic</w>": 15639,
-  "exp": 9923,
-  "exp</w>": 19066,
-  "expan": 7512,
-  "expand": 10382,
-  "expand</w>": 13141,
-  "expanded</w>": 18390,
-  "expanding</w>": 15755,
-  "expands</w>": 22223,
-  "expanse</w>": 46886,
-  "expansion</w>": 10138,
-  "expansive</w>": 49261,
-  "expat</w>": 43900,
-  "expe": 2560,
-  "expect": 9802,
-  "expect</w>": 5716,
-  "expectation</w>": 34273,
-  "expectations</w>": 12529,
-  "expected</w>": 5573,
-  "expecting</w>": 12525,
-  "expects</w>": 24536,
-  "expedition</w>": 16761,
-  "expeditions</w>": 49327,
-  "expelled</w>": 48834,
-  "expen": 7216,
-  "expend": 29302,
-  "expenditure</w>": 47044,
-  "expense</w>": 28473,
-  "expenses</w>": 21797,
-  "expensive</w>": 9649,
-  "exper": 1533,
-  "experi": 4723,
-  "experience": 31867,
-  "experience</w>": 2415,
-  "experienced</w>": 10417,
-  "experiences</w>": 8233,
-  "experiencing</w>": 16643,
-  "experiential</w>": 44952,
-  "experim": 6697,
-  "experiment</w>": 13079,
-  "experimental</w>": 16539,
-  "experimenting</w>": 28263,
-  "experiments</w>": 21077,
-  "expert</w>": 6284,
-  "expertise</w>": 16555,
-  "experts</w>": 6960,
-  "expi": 26850,
-  "expir": 35077,
-  "expire</w>": 49315,
-  "expired</w>": 30200,
-  "expires</w>": 34739,
-  "expl": 3261,
-  "expla": 3517,
-  "explain": 48918,
-  "explain</w>": 7304,
-  "explained</w>": 14229,
-  "explaining</w>": 13136,
-  "explains</w>": 6655,
-  "explan": 13294,
-  "explanation</w>": 16577,
-  "explanations</w>": 34383,
-  "explic": 21011,
-  "explicit</w>": 33228,
-  "explo": 3586,
-  "explode</w>": 31262,
-  "exploded</w>": 28947,
-  "explodes</w>": 38119,
-  "exploding</w>": 34683,
-  "exploit</w>": 36953,
-  "exploited</w>": 48554,
-  "explor": 11958,
-  "exploration</w>": 14043,
-  "explore": 10405,
-  "explore</w>": 5147,
-  "explorebc</w>": 38754,
-  "explorecanada</w>": 36600,
-  "explored</w>": 25016,
-  "explorer</w>": 15776,
-  "explorers</w>": 28491,
-  "explores</w>": 13996,
-  "exploring</w>": 7584,
-  "explosion</w>": 13785,
-  "explosions</w>": 38646,
-  "explosive</w>": 18888,
-  "explosives</w>": 44705,
-  "expo": 7820,
-  "expo</w>": 6344,
-  "expon": 27905,
-  "export</w>": 14444,
-  "exporting</w>": 47433,
-  "exports</w>": 20088,
-  "expose</w>": 23181,
-  "exposed</w>": 12180,
-  "exposes</w>": 33575,
-  "exposing</w>": 28362,
-  "exposition</w>": 36943,
-  "exposure</w>": 11903,
-  "expre": 6085,
-  "express": 18553,
-  "express</w>": 5642,
-  "expressed</w>": 20777,
-  "expresses</w>": 31931,
-  "expressing</w>": 30207,
-  "expression</w>": 11357,
-  "expressions</w>": 20314,
-  "expressive</w>": 42060,
-  "expressway</w>": 31658,
-  "exquis": 16575,
-  "exquisite</w>": 17958,
-  "ext": 5711,
-  "ext</w>": 20072,
-  "exten": 5555,
-  "extend</w>": 14492,
-  "extended</w>": 9614,
-  "extending</w>": 25652,
-  "extends</w>": 20688,
-  "extension</w>": 10275,
-  "extensions</w>": 24525,
-  "extensive</w>": 16870,
-  "extensively</w>": 47365,
-  "extent</w>": 24913,
-  "exter": 9797,
-  "exterior</w>": 19352,
-  "extermin": 41671,
-  "external</w>": 15028,
-  "extin": 13553,
-  "extinct</w>": 24488,
-  "extinction</w>": 21186,
-  "extingui": 38567,
-  "extor": 35620,
-  "extr": 29082,
-  "extra": 6416,
-  "extra</w>": 4231,
-  "extrac": 18550,
-  "extract</w>": 18962,
-  "extraction</w>": 28789,
-  "extracts</w>": 45576,
-  "extraordin": 23628,
-  "extraordinaire</w>": 30909,
-  "extraordinary</w>": 10982,
-  "extras</w>": 29817,
-  "extravag": 22299,
-  "extravaganza</w>": 29461,
-  "extre": 3978,
-  "extreme": 38357,
-  "extreme</w>": 8331,
-  "extremely</w>": 6519,
-  "extremism</w>": 31493,
-  "extremist</w>": 36383,
-  "extremists</w>": 41425,
-  "extru": 43010,
-  "ey": 1541,
-  "ey</w>": 1477,
-  "eyang</w>": 28915,
-  "eye": 5034,
-  "eye</w>": 3272,
-  "eyebrow</w>": 34250,
-  "eyebrows</w>": 19923,
-  "eyed</w>": 15512,
-  "eyeing</w>": 34916,
-  "eyel": 17075,
-  "eyelashes</w>": 42074,
-  "eyeliner</w>": 33354,
-  "eyeon</w>": 25126,
-  "eyes</w>": 3095,
-  "eyeshadow</w>": 35213,
-  "eyewear</w>": 30165,
-  "eyewitness</w>": 36258,
-  "eyou": 31996,
-  "eyour": 40229,
-  "eyre</w>": 44115,
-  "ez": 10082,
-  "ez</w>": 8387,
-  "eze": 25993,
-  "eze</w>": 27229,
-  "ezekiel</w>": 41428,
-  "ezra</w>": 27552,
-  "f": 69,
-  "f</w>": 325,
-  "fa": 778,
-  "fa</w>": 2800,
-  "faa</w>": 27577,
-  "fab": 2833,
-  "fab</w>": 5492,
-  "faber": 43461,
-  "faber</w>": 42488,
-  "fabi": 29425,
-  "fabian</w>": 34539,
-  "fabio</w>": 31666,
-  "fabric": 16217,
-  "fabric</w>": 10033,
-  "fabricated</w>": 40851,
-  "fabrication</w>": 33476,
-  "fabrics</w>": 23159,
-  "fabulous</w>": 5189,
-  "fac": 1053,
-  "fac</w>": 35438,
-  "facade</w>": 29217,
-  "face": 2545,
-  "face</w>": 1710,
-  "facebook": 36156,
-  "facebook</w>": 2943,
-  "faced</w>": 10941,
-  "faceli": 32023,
-  "facelift</w>": 36380,
-  "faceoff</w>": 42710,
-  "facep": 45285,
-  "faces</w>": 4905,
-  "faceted</w>": 43435,
-  "facetime</w>": 24076,
-  "facial</w>": 11909,
-  "facil": 39973,
-  "facilit": 13567,
-  "facilitate</w>": 26733,
-  "facilitated</w>": 43853,
-  "facilitating</w>": 34796,
-  "facilities</w>": 10388,
-  "facility</w>": 8165,
-  "facing</w>": 7619,
-  "fact": 17189,
-  "fact</w>": 3598,
-  "factfriday</w>": 27953,
-  "faction</w>": 14629,
-  "factor": 21082,
-  "factor</w>": 8124,
-  "factories</w>": 36492,
-  "factors</w>": 12733,
-  "factory": 42483,
-  "factory</w>": 6072,
-  "facts</w>": 5085,
-  "factual</w>": 45471,
-  "faculty</w>": 9504,
-  "facup</w>": 25283,
-  "fad": 12632,
-  "fad</w>": 47669,
-  "fade</w>": 20486,
-  "faded</w>": 26051,
-  "fades</w>": 40441,
-  "fading</w>": 32882,
-  "fadnavis</w>": 38945,
-  "faf": 31052,
-  "faf</w>": 43903,
-  "fag": 25617,
-  "fag</w>": 39305,
-  "fah": 25495,
-  "fah</w>": 35429,
-  "fahren": 45527,
-  "fai": 20519,
-  "fai</w>": 26384,
-  "fail": 7105,
-  "fail</w>": 6801,
-  "failed</w>": 8314,
-  "failing</w>": 15757,
-  "fails</w>": 13388,
-  "failure</w>": 8732,
-  "failures</w>": 25442,
-  "faint</w>": 30807,
-  "fair": 3031,
-  "fair</w>": 2849,
-  "fairbanks</w>": 43962,
-  "faire": 34745,
-  "faire</w>": 20798,
-  "fairfax</w>": 29368,
-  "fairfield</w>": 29664,
-  "fairgrounds</w>": 38325,
-  "fairi": 28884,
-  "fairies</w>": 33590,
-  "fairly</w>": 14961,
-  "fairmont</w>": 41547,
-  "fairness</w>": 29388,
-  "fairs</w>": 8655,
-  "fairtrade</w>": 33361,
-  "fairview</w>": 43479,
-  "fairway</w>": 44022,
-  "fairy": 17021,
-  "fairy</w>": 10444,
-  "fairytale</w>": 28944,
-  "fais": 23542,
-  "faisal</w>": 35459,
-  "fait</w>": 20567,
-  "faith": 10653,
-  "faith</w>": 5080,
-  "faithful</w>": 15511,
-  "faiz": 41775,
-  "fake": 18794,
-  "fake</w>": 5777,
-  "faken": 22853,
-  "fakenews</w>": 26943,
-  "fakespeare</w>": 49095,
-  "fal": 2778,
-  "fal</w>": 40494,
-  "fala": 47120,
-  "falcon": 22498,
-  "falcon</w>": 13571,
-  "falcons</w>": 13834,
-  "falk": 34648,
-  "falkirk</w>": 44080,
-  "fall": 6489,
-  "fall</w>": 2359,
-  "fallen</w>": 8688,
-  "falling": 48709,
-  "falling</w>": 7293,
-  "fallon": 39596,
-  "fallon</w>": 21281,
-  "fallontonight</w>": 44627,
-  "fallout": 49365,
-  "fallout</w>": 16009,
-  "falls</w>": 4778,
-  "falmouth</w>": 38261,
-  "false": 38948,
-  "false</w>": 9078,
-  "falsely</w>": 42321,
-  "fam": 1058,
-  "fam</w>": 5128,
-  "fame</w>": 6573,
-  "famed</w>": 23302,
-  "famer</w>": 24554,
-  "famil": 3395,
-  "famili": 8488,
-  "familia</w>": 25622,
-  "familiar</w>": 10020,
-  "families</w>": 4612,
-  "family": 8137,
-  "family</w>": 1315,
-  "familyfun</w>": 46308,
-  "familytime</w>": 47236,
-  "familytravel</w>": 38222,
-  "famine</w>": 35847,
-  "famous": 44811,
-  "famous</w>": 4096,
-  "famously</w>": 44505,
-  "fan": 1675,
-  "fan</w>": 2261,
-  "fanart": 41059,
-  "fanart</w>": 7855,
-  "fanartfriday</w>": 45346,
-  "fanatic</w>": 36643,
-  "fanatics</w>": 39610,
-  "fanbase</w>": 36921,
-  "fanboy</w>": 43369,
-  "fanc": 29017,
-  "fancafe</w>": 45080,
-  "fanci": 35908,
-  "fanclub</w>": 31530,
-  "fancy": 47622,
-  "fancy</w>": 6733,
-  "fand": 19684,
-  "fandom": 47634,
-  "fandom</w>": 11534,
-  "fanfest</w>": 42916,
-  "fanfic</w>": 47243,
-  "fang": 14269,
-  "fang</w>": 27428,
-  "fangirl</w>": 28813,
-  "fangirling</w>": 39463,
-  "fanning</w>": 37282,
-  "fanny</w>": 30401,
-  "fans": 32454,
-  "fans</w>": 1840,
-  "fansign</w>": 25288,
-  "fant": 4467,
-  "fanta": 2703,
-  "fantaken</w>": 39412,
-  "fantasia</w>": 49306,
-  "fantastic": 31289,
-  "fantastic</w>": 2935,
-  "fantasy": 15124,
-  "fantasy</w>": 5267,
-  "fantasyfootball</w>": 35713,
-  "fao</w>": 31155,
-  "faq</w>": 28533,
-  "far": 1578,
-  "far</w>": 2384,
-  "fara</w>": 48562,
-  "farage</w>": 28340,
-  "farah</w>": 31547,
-  "fare": 8620,
-  "fare</w>": 6461,
-  "fares</w>": 27525,
-  "farewell</w>": 10734,
-  "fargo</w>": 18870,
-  "fari": 26197,
-  "farley</w>": 43761,
-  "farm": 9066,
-  "farm</w>": 3985,
-  "farmer": 19735,
-  "farmer</w>": 10474,
-  "farmers": 29752,
-  "farmers</w>": 6402,
-  "farmersmarket</w>": 41808,
-  "farmhouse</w>": 26293,
-  "farming</w>": 10399,
-  "farmington</w>": 49305,
-  "farmland</w>": 45258,
-  "farms</w>": 11277,
-  "farn": 27527,
-  "faroo": 39147,
-  "farra": 33657,
-  "farrakhan</w>": 46293,
-  "farrell</w>": 24234,
-  "fart</w>": 34664,
-  "farther</w>": 42233,
-  "fas": 4830,
-  "fas</w>": 42995,
-  "fasci": 17191,
-  "fascin": 7327,
-  "fascinated</w>": 32964,
-  "fascinating</w>": 8640,
-  "fascism</w>": 28213,
-  "fascist</w>": 23870,
-  "fascists</w>": 43598,
-  "fash": 42682,
-  "fashi": 2099,
-  "fashion": 6976,
-  "fashion</w>": 2444,
-  "fashionable</w>": 24597,
-  "fashionblogger</w>": 31726,
-  "fashioned</w>": 21563,
-  "fashioni": 26062,
-  "fashionista</w>": 30415,
-  "fashions</w>": 37601,
-  "fashionshow</w>": 45653,
-  "fashionweek</w>": 28684,
-  "fass": 42398,
-  "fast": 8509,
-  "fast</w>": 1953,
-  "fasten": 44990,
-  "faster</w>": 8835,
-  "fastest</w>": 9808,
-  "fasting</w>": 24656,
-  "fat": 4751,
-  "fat</w>": 5484,
-  "fatal</w>": 12124,
-  "fatalities</w>": 44168,
-  "fatally</w>": 34069,
-  "fate": 26315,
-  "fate</w>": 11734,
-  "father": 11607,
-  "father</w>": 3224,
-  "fathers</w>": 12780,
-  "fathersday</w>": 16731,
-  "fati": 13430,
-  "fatigue</w>": 23747,
-  "fatima</w>": 28202,
-  "fats</w>": 30151,
-  "fatt": 44131,
-  "fatty</w>": 22953,
-  "fau": 5571,
-  "fau</w>": 31381,
-  "faucet</w>": 44273,
-  "faul": 16230,
-  "faulkner</w>": 37840,
-  "fault</w>": 13862,
-  "faults</w>": 42752,
-  "faulty</w>": 47103,
-  "fauna</w>": 30808,
-  "faust</w>": 44772,
-  "faux</w>": 19429,
-  "fav": 1355,
-  "fav</w>": 5426,
-  "fave</w>": 7272,
-  "faves</w>": 18003,
-  "favor": 1766,
-  "favor</w>": 12160,
-  "favorable</w>": 35392,
-  "favored</w>": 46640,
-  "favorite": 35262,
-  "favorite</w>": 1916,
-  "favorited</w>": 36926,
-  "favorites</w>": 10564,
-  "favors</w>": 36085,
-  "favour": 3111,
-  "favour</w>": 20469,
-  "favourite</w>": 3342,
-  "favourites</w>": 16585,
-  "favs</w>": 18879,
-  "faw": 21800,
-  "fawad": 46425,
-  "fawn</w>": 48624,
-  "fax": 32535,
-  "fax</w>": 9337,
-  "fay": 8939,
-  "fay</w>": 40074,
-  "faye</w>": 30257,
-  "fayette": 32043,
-  "fayette</w>": 19782,
-  "fayetteville</w>": 37771,
-  "fayre</w>": 34982,
-  "faz": 26238,
-  "faze</w>": 44880,
-  "fb": 22637,
-  "fb</w>": 3307,
-  "fball</w>": 29663,
-  "fbf</w>": 20004,
-  "fbi</w>": 10293,
-  "fbloggers</w>": 41389,
-  "fbs</w>": 48454,
-  "fc": 4278,
-  "fc</w>": 1399,
-  "fca</w>": 24540,
-  "fcb": 26639,
-  "fcb</w>": 25045,
-  "fcbarcelona</w>": 32174,
-  "fcbayern</w>": 35033,
-  "fcblive</w>": 44608,
-  "fcc</w>": 21240,
-  "fck": 40080,
-  "fck</w>": 49263,
-  "fcofficial</w>": 27805,
-  "fcs</w>": 32095,
-  "fcu</w>": 47898,
-  "fd": 16972,
-  "fd</w>": 11525,
-  "fda</w>": 17823,
-  "fdi</w>": 45579,
-  "fdn</w>": 18563,
-  "fdny</w>": 41084,
-  "fdr</w>": 42298,
-  "fe": 623,
-  "fe</w>": 873,
-  "fear": 8744,
-  "fear</w>": 5402,
-  "feared</w>": 31154,
-  "fearless</w>": 17470,
-  "fears</w>": 13867,
-  "fearthe": 33449,
-  "feasi": 34977,
-  "feast": 37963,
-  "feast</w>": 9564,
-  "feat": 1703,
-  "feat</w>": 5611,
-  "feather": 24905,
-  "feather</w>": 17871,
-  "feathers</w>": 21138,
-  "featherweight</w>": 44939,
-  "feature": 30413,
-  "feature</w>": 4527,
-  "featured</w>": 4743,
-  "features</w>": 4643,
-  "featuring</w>": 3706,
-  "feb</w>": 4317,
-  "febru": 4202,
-  "february</w>": 4248,
-  "fect</w>": 31293,
-  "fed": 22518,
-  "fed</w>": 7035,
-  "feder": 4737,
-  "federal</w>": 6369,
-  "federation</w>": 15530,
-  "federer</w>": 18246,
-  "federico</w>": 40539,
-  "fedex</w>": 32603,
-  "fedora</w>": 45111,
-  "feds</w>": 30593,
-  "fee": 28242,
-  "fee</w>": 9224,
-  "feed": 6662,
-  "feed</w>": 5839,
-  "feedback</w>": 8683,
-  "feeder</w>": 24482,
-  "feeders</w>": 44523,
-  "feeding</w>": 9879,
-  "feeds</w>": 21788,
-  "feel": 2408,
-  "feel</w>": 2051,
-  "feelin</w>": 19903,
-  "feeling": 33087,
-  "feeling</w>": 3045,
-  "feelings</w>": 9452,
-  "feels</w>": 4808,
-  "feelthe": 22322,
-  "feelthebern</w>": 27743,
-  "fees</w>": 11765,
-  "feet</w>": 4804,
-  "fei": 23441,
-  "fei</w>": 34217,
-  "fein": 46707,
-  "feinstein</w>": 41313,
-  "fel": 2081,
-  "fel</w>": 20304,
-  "feld": 45913,
-  "feld</w>": 14219,
-  "feldman</w>": 41942,
-  "feli": 7498,
-  "felic": 25845,
-  "felici": 23379,
-  "felicia</w>": 41139,
-  "felicidades</w>": 41648,
-  "felicity</w>": 35123,
-  "feline</w>": 29471,
-  "felipe</w>": 27681,
-  "felix": 33455,
-  "felix</w>": 16514,
-  "feliz": 26104,
-  "feliz</w>": 20221,
-  "fell": 33540,
-  "fell</w>": 6266,
-  "fella</w>": 17586,
-  "fellas</w>": 18787,
-  "feller</w>": 29226,
-  "fellow": 12099,
-  "fellow</w>": 5242,
-  "fellows</w>": 15766,
-  "fellowship</w>": 13857,
-  "felony</w>": 31068,
-  "felt</w>": 5413,
-  "fem": 24574,
-  "fem</w>": 36615,
-  "fema</w>": 41721,
-  "female": 22062,
-  "female</w>": 3970,
-  "females</w>": 21028,
-  "femi</w>": 38607,
-  "femin": 11423,
-  "femini": 11894,
-  "feminine</w>": 24911,
-  "feminism</w>": 18784,
-  "feminist</w>": 14921,
-  "feminists</w>": 38809,
-  "femme</w>": 31331,
-  "fen": 5509,
-  "fen</w>": 25024,
-  "fence</w>": 12679,
-  "fences</w>": 34312,
-  "fencing</w>": 23489,
-  "fender</w>": 17117,
-  "fener": 41208,
-  "fenerbah": 46652,
-  "feng</w>": 33291,
-  "fennel</w>": 28689,
-  "fent": 26395,
-  "fenton</w>": 47265,
-  "fenway</w>": 29206,
-  "fer": 1765,
-  "fer</w>": 2897,
-  "fera</w>": 37705,
-  "feral</w>": 29972,
-  "ferdin": 25541,
-  "ferdinand</w>": 27591,
-  "fere</w>": 43144,
-  "feren": 35652,
-  "ference</w>": 19984,
-  "ferg</w>": 44938,
-  "fergie</w>": 39119,
-  "fergu": 10988,
-  "fergus</w>": 42041,
-  "ferguson</w>": 11904,
-  "fermentation</w>": 45817,
-  "fermented</w>": 36886,
-  "fern": 10747,
-  "fern</w>": 21685,
-  "fernandes</w>": 44391,
-  "fernandez</w>": 23436,
-  "fernando</w>": 17140,
-  "ferns</w>": 38277,
-  "feroci": 45652,
-  "ferr": 7256,
-  "ferra": 47911,
-  "ferrari</w>": 9606,
-  "ferre": 29626,
-  "ferred</w>": 10432,
-  "ferreira</w>": 48686,
-  "ferrell</w>": 41112,
-  "ferrer</w>": 38904,
-  "ferri": 42008,
-  "ferries</w>": 28489,
-  "ferris</w>": 27532,
-  "ferry": 38936,
-  "ferry</w>": 10278,
-  "fers</w>": 12378,
-  "fert": 14925,
-  "fert</w>": 43662,
-  "fertil": 41987,
-  "fertile</w>": 44837,
-  "fertili": 23912,
-  "fertility</w>": 23528,
-  "fertilizer</w>": 36786,
-  "fery</w>": 47448,
-  "fes</w>": 32300,
-  "fest": 17383,
-  "fest</w>": 2590,
-  "festa</w>": 42124,
-  "festi": 1943,
-  "festiv": 19222,
-  "festival": 20946,
-  "festival</w>": 2240,
-  "festivals</w>": 17834,
-  "festive</w>": 9533,
-  "festivities</w>": 21020,
-  "fet": 21409,
-  "feta</w>": 31705,
-  "fetal</w>": 42031,
-  "fetch</w>": 30271,
-  "fete</w>": 34629,
-  "fett</w>": 37979,
-  "fetus</w>": 26768,
-  "feu": 24912,
-  "feu</w>": 32990,
-  "feud</w>": 27365,
-  "fever": 40896,
-  "fever</w>": 9989,
-  "fevre</w>": 43861,
-  "few</w>": 1939,
-  "fewer</w>": 19128,
-  "fex": 41584,
-  "fex</w>": 26392,
-  "fey": 39069,
-  "fey</w>": 23298,
-  "fez</w>": 43081,
-  "ff": 1021,
-  "ff</w>": 1304,
-  "ffa</w>": 15355,
-  "ffame</w>": 42873,
-  "ffc</w>": 19832,
-  "ffe": 1138,
-  "ffe</w>": 8631,
-  "ffect</w>": 29151,
-  "ffed</w>": 8448,
-  "ffee</w>": 26377,
-  "ffel</w>": 22656,
-  "ffen</w>": 46537,
-  "ffer": 27369,
-  "ffer</w>": 11636,
-  "ffers</w>": 32163,
-  "fferty</w>": 44771,
-  "ffes</w>": 46441,
-  "ffey</w>": 30138,
-  "fff</w>": 28106,
-  "ffi": 19961,
-  "ffic": 4762,
-  "ffice</w>": 26044,
-  "ffici": 3639,
-  "fficial": 39818,
-  "fficial</w>": 6463,
-  "fficiency</w>": 27800,
-  "fficient</w>": 20424,
-  "ffin": 12779,
-  "ffin</w>": 7367,
-  "ffing</w>": 16592,
-  "ffins</w>": 17898,
-  "ffl</w>": 39490,
-  "ffle</w>": 7749,
-  "ffler</w>": 39819,
-  "ffles</w>": 19344,
-  "ffman</w>": 15823,
-  "ffo</w>": 42264,
-  "ffs</w>": 4424,
-  "ffxiv</w>": 26569,
-  "ffxv</w>": 46786,
-  "ffy": 26404,
-  "ffy</w>": 7795,
-  "fg": 45977,
-  "fg</w>": 6823,
-  "fgm</w>": 32178,
-  "fgo</w>": 46113,
-  "fh": 21649,
-  "fh</w>": 21010,
-  "fhs</w>": 45094,
-  "fi": 701,
-  "fi</w>": 3589,
-  "fia</w>": 8827,
-  "fiable</w>": 34373,
-  "fianc": 27752,
-  "fiance</w>": 44114,
-  "fiancé</w>": 34039,
-  "fiasco</w>": 40944,
-  "fiat</w>": 16740,
-  "fiawec</w>": 39485,
-  "fib</w>": 40594,
-  "fiba</w>": 34993,
-  "fiber": 35074,
-  "fiber</w>": 12612,
-  "fibers</w>": 44587,
-  "fibre</w>": 21401,
-  "fibro": 21294,
-  "fibrosis</w>": 36307,
-  "fic": 1788,
-  "fic</w>": 2059,
-  "fica</w>": 26952,
-  "fically</w>": 14854,
-  "fication</w>": 4523,
-  "fications</w>": 12512,
-  "ficial</w>": 48192,
-  "fics</w>": 42505,
-  "fiction</w>": 6218,
-  "fictional</w>": 25570,
-  "fid": 34197,
-  "fid</w>": 23966,
-  "fidd": 25218,
-  "fiddle</w>": 35968,
-  "fide</w>": 45375,
-  "fidel": 21740,
-  "fidel</w>": 36837,
-  "fidelity</w>": 30109,
-  "fidget</w>": 48664,
-  "fie": 28487,
-  "fie</w>": 10348,
-  "fied": 29642,
-  "fied</w>": 2853,
-  "fiel": 1361,
-  "field": 7571,
-  "field</w>": 1570,
-  "fielder</w>": 11046,
-  "fieldhouse</w>": 37969,
-  "fielding</w>": 30465,
-  "fields</w>": 6494,
-  "fieldwork</w>": 33155,
-  "fiends</w>": 37869,
-  "fier": 11167,
-  "fier</w>": 10598,
-  "fierc": 48609,
-  "fierce</w>": 13896,
-  "fiercely</w>": 49039,
-  "fiers</w>": 16113,
-  "fiery</w>": 24557,
-  "fies</w>": 9537,
-  "fiesta</w>": 14580,
-  "fif": 5309,
-  "fifa": 21976,
-  "fifa</w>": 8516,
-  "fifaworldcup</w>": 38819,
-  "fifawwc</w>": 41329,
-  "fife</w>": 24374,
-  "fifteen</w>": 29504,
-  "fifth": 25515,
-  "fifth</w>": 8772,
-  "fifthharmony</w>": 31075,
-  "fifty": 24456,
-  "fifty</w>": 15978,
-  "fig": 4814,
-  "fig</w>": 20719,
-  "figaro</w>": 48044,
-  "figh": 23274,
-  "fight": 5262,
-  "fight</w>": 2757,
-  "fighter": 35884,
-  "fighter</w>": 6438,
-  "fighters</w>": 7371,
-  "fightfor": 48909,
-  "fightfor</w>": 35740,
-  "fighting": 38625,
-  "fighting</w>": 4652,
-  "fighton</w>": 45578,
-  "fights</w>": 12132,
-  "figs</w>": 38882,
-  "figu": 6390,
-  "figur": 16948,
-  "figurative</w>": 44042,
-  "figure": 48820,
-  "figure</w>": 5274,
-  "figured</w>": 15630,
-  "figures</w>": 8739,
-  "figurine</w>": 33306,
-  "figuring</w>": 31513,
-  "fiji": 48270,
-  "fiji</w>": 18285,
-  "fik</w>": 46589,
-  "fil": 1142,
-  "fil</w>": 14915,
-  "fila</w>": 30992,
-  "filament</w>": 49252,
-  "file": 12545,
-  "file</w>": 4512,
-  "filed</w>": 13864,
-  "files</w>": 7850,
-  "filet</w>": 43155,
-  "fili": 9590,
-  "filing</w>": 16576,
-  "filip": 14368,
-  "filipino</w>": 19153,
-  "fill": 15904,
-  "fill</w>": 6277,
-  "filled</w>": 5589,
-  "filler</w>": 32816,
-  "fillers</w>": 45005,
-  "fillet</w>": 39276,
-  "filling</w>": 9736,
-  "fillion</w>": 38048,
-  "fillmore</w>": 43922,
-  "fills</w>": 21750,
-  "filly</w>": 27690,
-  "film": 5117,
-  "film</w>": 1860,
-  "filmed</w>": 15801,
-  "filmfare</w>": 42224,
-  "filmfest</w>": 24508,
-  "filmfestival</w>": 28066,
-  "filming</w>": 6866,
-  "filmmaker</w>": 17202,
-  "filmmakers</w>": 24896,
-  "filmmaking</w>": 18226,
-  "films</w>": 5370,
-  "fils</w>": 40271,
-  "filter</w>": 7541,
-  "filtered</w>": 29926,
-  "filtering</w>": 47770,
-  "filters</w>": 18385,
-  "filth</w>": 39713,
-  "filthy</w>": 26899,
-  "filtr": 21408,
-  "filtration</w>": 42036,
-  "fim</w>": 47525,
-  "fin": 735,
-  "fin</w>": 10663,
-  "fina</w>": 34497,
-  "final": 11968,
-  "final</w>": 1755,
-  "finale</w>": 7844,
-  "finalfantasy</w>": 44543,
-  "finalfour</w>": 46999,
-  "finalist</w>": 12620,
-  "finalists</w>": 13422,
-  "finalized</w>": 48930,
-  "finally</w>": 1992,
-  "finals</w>": 4536,
-  "finan": 4807,
-  "finance</w>": 6117,
-  "finances</w>": 28767,
-  "financi": 12846,
-  "financial": 19783,
-  "financial</w>": 4930,
-  "financially</w>": 28124,
-  "financing</w>": 18375,
-  "finch</w>": 18523,
-  "find": 18638,
-  "find</w>": 1416,
-  "finder</w>": 15045,
-  "finders</w>": 43884,
-  "findia</w>": 47064,
-  "finding": 37455,
-  "finding</w>": 6002,
-  "findings</w>": 16529,
-  "findlay</w>": 48227,
-  "findom</w>": 36463,
-  "finds</w>": 6680,
-  "findyour": 25936,
-  "findyourpark</w>": 38924,
-  "fine": 12042,
-  "fine</w>": 3797,
-  "fineart": 7484,
-  "fineart</w>": 16005,
-  "fineartamerica</w>": 7724,
-  "fined</w>": 20094,
-  "finely</w>": 46120,
-  "finer</w>": 36681,
-  "fines</w>": 25053,
-  "finesse</w>": 46047,
-  "finest</w>": 7707,
-  "fing": 6485,
-  "fing</w>": 17955,
-  "finger": 13480,
-  "finger</w>": 8895,
-  "fingerprint</w>": 39579,
-  "fingers</w>": 9690,
-  "fini": 2405,
-  "finish": 42178,
-  "finish</w>": 3958,
-  "finished</w>": 3078,
-  "finisher</w>": 38636,
-  "finishers</w>": 48661,
-  "finishes</w>": 13078,
-  "finishing</w>": 7912,
-  "finite</w>": 48312,
-  "finity": 41463,
-  "finity</w>": 21273,
-  "fink</w>": 40158,
-  "finland</w>": 10775,
-  "finley</w>": 41652,
-  "finn": 28479,
-  "finn</w>": 16925,
-  "finna</w>": 35180,
-  "finnish</w>": 19616,
-  "fino</w>": 30083,
-  "fins</w>": 32810,
-  "fintech": 48929,
-  "fintech</w>": 8899,
-  "fion": 27476,
-  "fiona</w>": 20099,
-  "fior": 37086,
-  "fiore</w>": 44997,
-  "fioren": 33188,
-  "fiorentina</w>": 43713,
-  "fios</w>": 42521,
-  "fir": 770,
-  "fir</w>": 16233,
-  "fire": 2951,
-  "fire</w>": 1769,
-  "firearm</w>": 40311,
-  "firearms</w>": 23960,
-  "fireball</w>": 40543,
-  "firec": 42806,
-  "fired</w>": 8846,
-  "firefighter</w>": 20498,
-  "firefighters</w>": 12600,
-  "firefly</w>": 33997,
-  "firefox</w>": 35372,
-  "fireman</w>": 46085,
-  "firen": 34752,
-  "firenze</w>": 38445,
-  "fireplace</w>": 23050,
-  "fires</w>": 8749,
-  "fireside</w>": 36185,
-  "firework</w>": 40750,
-  "fireworks</w>": 10641,
-  "firing</w>": 15105,
-  "firm": 16936,
-  "firm</w>": 7705,
-  "firmly</w>": 29156,
-  "firms</w>": 13655,
-  "firmware</w>": 42691,
-  "first": 6853,
-  "first</w>": 874,
-  "firstdayof": 44297,
-  "firsth": 48512,
-  "firsts</w>": 47884,
-  "firth</w>": 26078,
-  "fis": 7846,
-  "fis</w>": 47683,
-  "fiscal</w>": 20825,
-  "fischer</w>": 26532,
-  "fish": 6431,
-  "fish</w>": 2759,
-  "fisher": 11175,
-  "fisher</w>": 9176,
-  "fisheries</w>": 24612,
-  "fisherman</w>": 25055,
-  "fishermen</w>": 28547,
-  "fishers</w>": 42065,
-  "fishery</w>": 49057,
-  "fishes</w>": 35470,
-  "fishing": 31703,
-  "fishing</w>": 4935,
-  "fishy</w>": 35665,
-  "fist": 48340,
-  "fist</w>": 17085,
-  "fit": 2366,
-  "fit</w>": 2478,
-  "fitbit</w>": 33768,
-  "fitch</w>": 44614,
-  "fitfam</w>": 20662,
-  "fitnes": 47285,
-  "fitness": 20044,
-  "fitness</w>": 4838,
-  "fits</w>": 6401,
-  "fitt": 32994,
-  "fitted</w>": 14863,
-  "fitter</w>": 42096,
-  "fitters</w>": 32364,
-  "fitting</w>": 11769,
-  "fittings</w>": 45787,
-  "fitz": 11120,
-  "fitz</w>": 25913,
-  "fitzgerald</w>": 20606,
-  "fitzpatrick</w>": 37141,
-  "fiu</w>": 38374,
-  "five": 19508,
-  "five</w>": 3127,
-  "fives</w>": 44066,
-  "fix": 4596,
-  "fix</w>": 6028,
-  "fixed</w>": 9393,
-  "fixes</w>": 25473,
-  "fixing</w>": 17423,
-  "fixture</w>": 17317,
-  "fixtures</w>": 19904,
-  "fizz</w>": 31242,
-  "fj": 43183,
-  "fj</w>": 46447,
-  "fjor": 31260,
-  "fk</w>": 12410,
-  "fl": 1082,
-  "fl</w>": 2685,
-  "fla": 1577,
-  "fla</w>": 20292,
-  "flag": 11536,
-  "flag</w>": 4859,
-  "flagged</w>": 45012,
-  "flags</w>": 12221,
-  "flagship</w>": 19779,
-  "flagstaff</w>": 40406,
-  "flair</w>": 24938,
-  "flake</w>": 21221,
-  "flakes</w>": 20934,
-  "flam": 10559,
-  "flame": 40351,
-  "flame</w>": 13484,
-  "flamen": 28826,
-  "flamenco</w>": 37362,
-  "flames</w>": 13441,
-  "flamin": 42693,
-  "flaming</w>": 34782,
-  "flamingo</w>": 30323,
-  "flan": 14572,
-  "flanagan</w>": 28641,
-  "flanders</w>": 34837,
-  "flank</w>": 44553,
-  "flann": 39510,
-  "flannel</w>": 37807,
-  "flap</w>": 35253,
-  "flappy</w>": 40241,
-  "flare</w>": 21185,
-  "flares</w>": 46088,
-  "flash": 6089,
-  "flash</w>": 5815,
-  "flashback": 14616,
-  "flashback</w>": 11988,
-  "flashbackfriday</w>": 15014,
-  "flashbacks</w>": 47056,
-  "flashes</w>": 31259,
-  "flashing</w>": 31764,
-  "flashlight</w>": 37256,
-  "flask</w>": 36194,
-  "flat": 8986,
-  "flat</w>": 6313,
-  "flats</w>": 17228,
-  "flatt": 45498,
-  "flattering</w>": 43267,
-  "flaun": 41421,
-  "flav": 7191,
-  "flavo": 28895,
-  "flavor": 31835,
-  "flavor</w>": 11818,
-  "flavored</w>": 29350,
-  "flavorful</w>": 49135,
-  "flavors</w>": 16930,
-  "flavour</w>": 17026,
-  "flavoured</w>": 42397,
-  "flavours</w>": 21083,
-  "flaw": 14268,
-  "flaw</w>": 34978,
-  "flawed</w>": 35136,
-  "flawless</w>": 15531,
-  "flaws</w>": 30492,
-  "flax</w>": 43443,
-  "fle": 2428,
-  "fle</w>": 44964,
-  "flea</w>": 24883,
-  "fleck</w>": 28143,
-  "fled</w>": 26731,
-  "flee": 19427,
-  "flee</w>": 30167,
-  "fleece</w>": 25038,
-  "fleeing</w>": 30543,
-  "fleek</w>": 43513,
-  "fleet": 35922,
-  "fleet</w>": 9147,
-  "fleetwood</w>": 28883,
-  "fleming</w>": 25769,
-  "fler</w>": 48789,
-  "flesh</w>": 17495,
-  "flet": 16102,
-  "fletcher</w>": 19810,
-  "fleur</w>": 28593,
-  "flew</w>": 13768,
-  "flex": 16426,
-  "flex</w>": 12038,
-  "flexi": 10032,
-  "flexibility</w>": 22547,
-  "flexible</w>": 14502,
-  "flexing</w>": 48483,
-  "fli": 2472,
-  "flick": 13746,
-  "flick</w>": 23414,
-  "flickr</w>": 17755,
-  "flies</w>": 8070,
-  "flight": 24701,
-  "flight</w>": 3795,
-  "flights</w>": 10515,
-  "flin": 24730,
-  "flin</w>": 43816,
-  "flinders</w>": 44647,
-  "fling</w>": 22768,
-  "flint": 28306,
-  "flint</w>": 18324,
-  "flip": 20385,
-  "flip</w>": 11035,
-  "flipk": 30829,
-  "flipkart</w>": 33154,
-  "flipped</w>": 28144,
-  "flipping</w>": 25881,
-  "flips</w>": 35089,
-  "flir": 24330,
-  "flirt</w>": 38352,
-  "flirting</w>": 35243,
-  "flix</w>": 40663,
-  "flo": 1945,
-  "flo</w>": 20711,
-  "float</w>": 16123,
-  "floating</w>": 12619,
-  "floats</w>": 33272,
-  "flock": 36297,
-  "flock</w>": 21822,
-  "flondon</w>": 47366,
-  "floo": 4062,
-  "flood": 23793,
-  "flood</w>": 7148,
-  "flooded</w>": 19706,
-  "flooding</w>": 10204,
-  "floods</w>": 16369,
-  "floor": 23657,
-  "floor</w>": 4125,
-  "flooring</w>": 19227,
-  "floors</w>": 15671,
-  "flop</w>": 22994,
-  "floppy</w>": 38267,
-  "flops</w>": 29146,
-  "flor": 15784,
-  "flor</w>": 41669,
-  "flora</w>": 18906,
-  "floral</w>": 10732,
-  "florals</w>": 48331,
-  "floren": 37706,
-  "florence</w>": 11617,
-  "flores</w>": 21537,
-  "flori": 3482,
-  "florian</w>": 41861,
-  "florida": 34264,
-  "florida</w>": 3966,
-  "florist</w>": 38403,
-  "floss</w>": 36453,
-  "flotus</w>": 35181,
-  "flour</w>": 18592,
-  "flouri": 23239,
-  "flourish</w>": 36038,
-  "flow": 2180,
-  "flow</w>": 5608,
-  "flower": 12772,
-  "flower</w>": 4055,
-  "flowering</w>": 19953,
-  "flowers</w>": 4023,
-  "flowing</w>": 14922,
-  "flown</w>": 25659,
-  "flows</w>": 16715,
-  "floyd": 46369,
-  "floyd</w>": 13656,
-  "flu": 3698,
-  "flu</w>": 13528,
-  "fluctu": 40181,
-  "fluence</w>": 38169,
-  "fluent</w>": 30025,
-  "fluff</w>": 31174,
-  "fluffy": 40346,
-  "fluffy</w>": 17054,
-  "fluid": 43803,
-  "fluid</w>": 16717,
-  "fluids</w>": 41490,
-  "fluor": 45127,
-  "fluore": 26974,
-  "fluorescent</w>": 35036,
-  "fluori": 45611,
-  "flur": 31591,
-  "flush</w>": 25777,
-  "flushing</w>": 43754,
-  "flute</w>": 23746,
-  "flux</w>": 25249,
-  "flwx</w>": 30907,
-  "fly": 5666,
-  "fly</w>": 3228,
-  "flye": 30873,
-  "flyeagles": 39927,
-  "flyeaglesfly</w>": 39931,
-  "flyer</w>": 11875,
-  "flyers</w>": 14181,
-  "flyfishing</w>": 31800,
-  "flying": 20782,
-  "flying</w>": 4610,
-  "flyn": 40676,
-  "flynn</w>": 15721,
-  "flyo": 33506,
-  "flyover</w>": 38083,
-  "fm": 13715,
-  "fm</w>": 3689,
-  "fman</w>": 25152,
-  "fml</w>": 26730,
-  "fmr</w>": 32875,
-  "fn": 22773,
-  "fn</w>": 21763,
-  "fnc</w>": 46506,
-  "fo": 898,
-  "fo</w>": 6157,
-  "foal</w>": 40386,
-  "foam": 30039,
-  "foam</w>": 14587,
-  "foamed</w>": 26711,
-  "fob</w>": 40315,
-  "focal</w>": 30934,
-  "focu": 5827,
-  "focus</w>": 4353,
-  "focused</w>": 9319,
-  "focuses</w>": 20093,
-  "focusing</w>": 15551,
-  "fod": 31015,
-  "fod</w>": 43299,
-  "fodils</w>": 44411,
-  "foe</w>": 22952,
-  "foes</w>": 46279,
-  "fog</w>": 9417,
-  "foggy</w>": 19770,
-  "foil</w>": 17302,
-  "fol": 1106,
-  "fol</w>": 48616,
-  "fold": 35201,
-  "fold</w>": 11021,
-  "foldable</w>": 48307,
-  "folded</w>": 25233,
-  "folder</w>": 25717,
-  "folding</w>": 15464,
-  "folds</w>": 24266,
-  "foley</w>": 22850,
-  "foli": 7713,
-  "folia</w>": 48964,
-  "foliage</w>": 26350,
-  "folio</w>": 10772,
-  "folk": 10665,
-  "folk</w>": 6032,
-  "folke": 47190,
-  "folkl": 27273,
-  "folklore": 22133,
-  "folklore</w>": 28620,
-  "folklorethursday</w>": 23270,
-  "folks</w>": 5422,
-  "follo": 41417,
-  "follow": 1964,
-  "follow</w>": 1979,
-  "followart</w>": 40957,
-  "followback</w>": 33863,
-  "followed</w>": 6499,
-  "follower</w>": 17039,
-  "followers</w>": 4856,
-  "following</w>": 3473,
-  "followme</w>": 29668,
-  "followparty</w>": 44757,
-  "follows</w>": 11287,
-  "followthe": 30747,
-  "folly</w>": 41408,
-  "folsom</w>": 42108,
-  "fom": 34540,
-  "fon": 5017,
-  "fon</w>": 38318,
-  "fond</w>": 19964,
-  "fonda</w>": 44609,
-  "fondue</w>": 48321,
-  "fone</w>": 40672,
-  "font": 37610,
-  "font</w>": 16248,
-  "fontaine</w>": 37864,
-  "fontana</w>": 43643,
-  "fontein</w>": 45062,
-  "fonts</w>": 32801,
-  "foo": 1183,
-  "foo</w>": 23435,
-  "food": 4586,
-  "food</w>": 1559,
-  "foodand": 38317,
-  "foodbank</w>": 31926,
-  "foodie": 30762,
-  "foodie</w>": 9847,
-  "foodies</w>": 22416,
-  "foodnetwork</w>": 46793,
-  "foods</w>": 7057,
-  "foodsecurity</w>": 49329,
-  "foodtruck</w>": 47682,
-  "fool": 23959,
-  "fool</w>": 12212,
-  "fooled</w>": 28761,
-  "fooling</w>": 47964,
-  "foolish</w>": 33824,
-  "fools</w>": 15946,
-  "foot": 6702,
-  "foot</w>": 4738,
-  "footage</w>": 11130,
-  "footb": 33466,
-  "football": 9376,
-  "football</w>": 1882,
-  "footballer</w>": 20646,
-  "footballers</w>": 30269,
-  "footed</w>": 38040,
-  "footh": 25951,
-  "foothills</w>": 37020,
-  "footpath</w>": 48858,
-  "footprint</w>": 23206,
-  "footprints</w>": 39640,
-  "footsteps</w>": 27289,
-  "footwear</w>": 22772,
-  "footy": 39866,
-  "footy</w>": 18922,
-  "for": 645,
-  "for</w>": 556,
-  "forage</w>": 46871,
-  "foraging</w>": 39056,
-  "forall</w>": 17824,
-  "forbe": 49098,
-  "forbes</w>": 13925,
-  "forbi": 24754,
-  "forbidden</w>": 25164,
-  "force": 12068,
-  "force</w>": 2869,
-  "forced</w>": 8201,
-  "forces</w>": 5381,
-  "forchange</w>": 35848,
-  "forcing</w>": 21573,
-  "ford": 3751,
-  "ford</w>": 1623,
-  "fordfc</w>": 28581,
-  "fordham</w>": 48792,
-  "fords</w>": 29351,
-  "fordshire</w>": 14645,
-  "fore": 1484,
-  "fore</w>": 1332,
-  "forec": 34155,
-  "forecast</w>": 7361,
-  "forecasting</w>": 38133,
-  "forecasts</w>": 27696,
-  "foreclo": 44916,
-  "forefront</w>": 37679,
-  "foreground</w>": 35186,
-  "forehead</w>": 25394,
-  "foreig": 26497,
-  "foreign": 42255,
-  "foreign</w>": 6046,
-  "foreigners</w>": 38549,
-  "foreman</w>": 36174,
-  "foremost</w>": 42128,
-  "foren": 16526,
-  "forensic</w>": 23158,
-  "forensics</w>": 38763,
-  "forest": 18760,
-  "forest</w>": 4167,
-  "forestation</w>": 33939,
-  "forestry</w>": 26281,
-  "forests</w>": 14095,
-  "forever": 14748,
-  "forever</w>": 3225,
-  "forevery": 40605,
-  "forex": 40200,
-  "forex</w>": 17395,
-  "forfe": 44871,
-  "forge</w>": 19232,
-  "forged</w>": 28105,
-  "forget": 46153,
-  "forget</w>": 2678,
-  "forgets</w>": 35613,
-  "forgetting</w>": 25452,
-  "forgi": 22080,
-  "forgive</w>": 15332,
-  "forgiven</w>": 44894,
-  "forgiveness</w>": 23585,
-  "forgood</w>": 39169,
-  "forgot</w>": 6483,
-  "forgotten</w>": 7994,
-  "fork": 24501,
-  "fork</w>": 13700,
-  "forkids</w>": 48571,
-  "forklift</w>": 43202,
-  "forks</w>": 28769,
-  "forlife</w>": 17624,
-  "form": 1157,
-  "form</w>": 1907,
-  "forma</w>": 38829,
-  "formal</w>": 12978,
-  "formally</w>": 24867,
-  "format": 16252,
-  "format</w>": 11874,
-  "formation</w>": 2510,
-  "formations</w>": 37715,
-  "formative</w>": 48882,
-  "formats</w>": 32085,
-  "forme</w>": 42085,
-  "formed</w>": 6528,
-  "former</w>": 2276,
-  "formerly</w>": 20866,
-  "formid": 38599,
-  "formidable</w>": 39834,
-  "forming</w>": 15443,
-  "formity</w>": 42290,
-  "forms</w>": 5161,
-  "formu": 8689,
-  "formul": 23923,
-  "formula": 24485,
-  "formula</w>": 10776,
-  "formulae</w>": 34586,
-  "formulated</w>": 45066,
-  "forre": 38876,
-  "forrest</w>": 25205,
-  "forrester</w>": 45338,
-  "forsa": 48958,
-  "forsale</w>": 13303,
-  "forster</w>": 42923,
-  "forsy": 29629,
-  "forsyth</w>": 40952,
-  "fort": 12300,
-  "fort</w>": 2921,
-  "forte": 44350,
-  "forte</w>": 27367,
-  "forth": 17068,
-  "forth</w>": 11932,
-  "forthcoming</w>": 19989,
-  "forthe": 12521,
-  "forti": 26984,
-  "fortified</w>": 46486,
-  "fortn": 14428,
-  "fortnight</w>": 39235,
-  "fortnite": 38734,
-  "fortnite</w>": 17890,
-  "fortress</w>": 19988,
-  "fortun": 6950,
-  "fortunate</w>": 19898,
-  "fortunately</w>": 34358,
-  "fortune": 40931,
-  "fortune</w>": 11451,
-  "fortunes</w>": 41989,
-  "forty</w>": 24399,
-  "forum": 37851,
-  "forum</w>": 4538,
-  "forums</w>": 31518,
-  "forwar": 34364,
-  "forward": 47031,
-  "forward</w>": 2342,
-  "forwards</w>": 38974,
-  "foryou</w>": 35150,
-  "forz": 46056,
-  "forza": 33293,
-  "forza</w>": 28089,
-  "fos": 36925,
-  "fos</w>": 22081,
-  "foss": 14240,
-  "foss</w>": 37911,
-  "fossil": 20419,
-  "fossil</w>": 15202,
-  "fossilfriday</w>": 26079,
-  "fossils</w>": 30652,
-  "foster": 26778,
-  "foster</w>": 8139,
-  "fostering</w>": 35996,
-  "fosters</w>": 37644,
-  "foto": 15908,
-  "foto</w>": 12823,
-  "fotogra": 23687,
-  "fotografia</w>": 40256,
-  "fotos</w>": 26124,
-  "fou": 14516,
-  "fought</w>": 10844,
-  "foul</w>": 19784,
-  "foun": 3154,
-  "found": 3454,
-  "found</w>": 1546,
-  "foundation</w>": 4058,
-  "foundations</w>": 25219,
-  "founded</w>": 12240,
-  "founder</w>": 5145,
-  "founders</w>": 14602,
-  "founding</w>": 15317,
-  "foundry</w>": 31426,
-  "fountain": 44863,
-  "fountain</w>": 13405,
-  "fountains</w>": 37411,
-  "four": 5113,
-  "four</w>": 2721,
-  "foursquare</w>": 34484,
-  "fourteen</w>": 46255,
-  "fourth</w>": 7516,
-  "fourthofjuly</w>": 47805,
-  "fow": 17084,
-  "fowl</w>": 31685,
-  "fowler</w>": 20980,
-  "fox": 5007,
-  "fox</w>": 3240,
-  "foxandfriends</w>": 45841,
-  "foxes</w>": 24145,
-  "foxnews</w>": 18830,
-  "foxsports</w>": 39267,
-  "foxtv</w>": 49396,
-  "foxx</w>": 32993,
-  "foxy</w>": 27945,
-  "foy</w>": 30284,
-  "foyer</w>": 38011,
-  "foyle</w>": 47902,
-  "fp": 28058,
-  "fp</w>": 8941,
-  "fpl</w>": 27970,
-  "fpp</w>": 36464,
-  "fps</w>": 25300,
-  "fpv</w>": 43175,
-  "fr": 936,
-  "fr</w>": 5512,
-  "fra": 3368,
-  "fra</w>": 15644,
-  "frac": 15607,
-  "fracking</w>": 21894,
-  "fractal</w>": 46471,
-  "fraction</w>": 26788,
-  "fractu": 25847,
-  "fracture</w>": 28995,
-  "fractured</w>": 37421,
-  "fractures</w>": 46213,
-  "frag": 13093,
-  "fragile</w>": 23579,
-  "fragment</w>": 39209,
-  "fragments</w>": 41424,
-  "fragr": 15403,
-  "fragrance</w>": 17874,
-  "fragrances</w>": 44567,
-  "fragrant</w>": 37030,
-  "fram": 27987,
-  "frame": 11029,
-  "frame</w>": 6481,
-  "framed</w>": 13135,
-  "frames</w>": 15479,
-  "framework</w>": 13195,
-  "frameworks</w>": 43136,
-  "framing</w>": 24539,
-  "frampton</w>": 41733,
-  "fran": 2118,
-  "fran</w>": 18878,
-  "franc": 3872,
-  "franc</w>": 42340,
-  "franca": 48952,
-  "france": 12045,
-  "france</w>": 3552,
-  "frances</w>": 20803,
-  "francesca</w>": 32327,
-  "francesco</w>": 25816,
-  "franch": 11756,
-  "franchi": 46438,
-  "franchise</w>": 13664,
-  "franci": 46458,
-  "francis": 22187,
-  "francis</w>": 7660,
-  "francisco</w>": 6887,
-  "franco": 17934,
-  "franco</w>": 17052,
-  "francois</w>": 29317,
-  "frank": 5390,
-  "frank</w>": 5229,
-  "franken": 20487,
-  "franken</w>": 48252,
-  "frankenstein</w>": 26410,
-  "frankfur": 17442,
-  "frankfurt</w>": 18598,
-  "franki": 39227,
-  "frankie": 38373,
-  "frankie</w>": 16215,
-  "franklin": 40935,
-  "franklin</w>": 9999,
-  "frankly</w>": 38015,
-  "franks</w>": 42855,
-  "frans</w>": 47892,
-  "franz</w>": 25449,
-  "franç": 38381,
-  "fraser": 39082,
-  "fraser</w>": 16754,
-  "frat": 15225,
-  "frat</w>": 39292,
-  "fraternity</w>": 24433,
-  "frau": 23063,
-  "fraud": 40647,
-  "fraud</w>": 9961,
-  "fraudul": 42655,
-  "fraudulent</w>": 47408,
-  "fray</w>": 41154,
-  "frazier</w>": 32841,
-  "frc</w>": 41507,
-  "fre": 821,
-  "fre</w>": 43165,
-  "freak": 20352,
-  "freak</w>": 13701,
-  "freaked</w>": 43511,
-  "freakin</w>": 23900,
-  "freaking</w>": 11992,
-  "freaks</w>": 27009,
-  "freaky</w>": 31583,
-  "freck": 33328,
-  "freckles</w>": 48036,
-  "fred": 9486,
-  "fred</w>": 6678,
-  "freddie": 41890,
-  "freddie</w>": 17014,
-  "freddy</w>": 24394,
-  "freder": 10745,
-  "frederic</w>": 41165,
-  "frederick": 37103,
-  "frederick</w>": 18570,
-  "fredo</w>": 48241,
-  "free": 2065,
-  "free</w>": 1139,
-  "freebie</w>": 35865,
-  "freebies</w>": 28630,
-  "freec": 46569,
-  "freed": 12585,
-  "freed</w>": 23392,
-  "freedom": 17992,
-  "freedom</w>": 4511,
-  "freedoms</w>": 32500,
-  "freef": 48678,
-  "freel": 14174,
-  "freelance</w>": 21942,
-  "freely</w>": 24436,
-  "freeman</w>": 16450,
-  "freep": 32499,
-  "freepalestine</w>": 39242,
-  "freer": 44676,
-  "frees": 27455,
-  "freestyle</w>": 15594,
-  "freeway</w>": 24927,
-  "freeze</w>": 14187,
-  "freezer</w>": 25390,
-  "freezing</w>": 12499,
-  "frei": 30183,
-  "freight</w>": 17023,
-  "fremantle</w>": 48012,
-  "fremont</w>": 34578,
-  "fren": 2919,
-  "french": 13118,
-  "french</w>": 3461,
-  "frenzy</w>": 30084,
-  "frequ": 9211,
-  "frequencies</w>": 45319,
-  "frequency</w>": 18825,
-  "frequent</w>": 19836,
-  "frequently</w>": 22434,
-  "fresco</w>": 31609,
-  "fresh": 4065,
-  "fresh</w>": 2975,
-  "fresher</w>": 49284,
-  "freshers</w>": 35810,
-  "freshest</w>": 46809,
-  "freshly</w>": 16081,
-  "freshman</w>": 9381,
-  "freshmen</w>": 21292,
-  "freshness</w>": 45872,
-  "freshwater</w>": 24803,
-  "fresno": 40879,
-  "fresno</w>": 20995,
-  "fret</w>": 40510,
-  "freud</w>": 40787,
-  "frey": 22136,
-  "frey</w>": 9082,
-  "fri": 815,
-  "fri</w>": 6882,
-  "friars</w>": 30513,
-  "fric": 18981,
-  "frick</w>": 46304,
-  "friction</w>": 38563,
-  "frid</w>": 46388,
-  "frida</w>": 36001,
-  "friday": 6350,
-  "friday</w>": 1461,
-  "fridayfeeling</w>": 11952,
-  "fridaymotivation</w>": 38544,
-  "fridaynight": 44858,
-  "fridayreads</w>": 37736,
-  "fridays</w>": 15589,
-  "fridaythe</w>": 47642,
-  "fridge</w>": 13491,
-  "fridges</w>": 40734,
-  "frie": 36999,
-  "fried": 13743,
-  "fried</w>": 7310,
-  "friedman</w>": 29402,
-  "friedrich</w>": 34171,
-  "friend": 3017,
-  "friend</w>": 1625,
-  "friendly": 44612,
-  "friendly</w>": 4681,
-  "friends": 38875,
-  "friends</w>": 1574,
-  "friendship": 42674,
-  "friendship</w>": 7679,
-  "friendships</w>": 28840,
-  "fries</w>": 11369,
-  "frifotos</w>": 40493,
-  "friger": 20785,
-  "friggin</w>": 48300,
-  "frigh": 34831,
-  "fright": 24277,
-  "fright</w>": 40207,
-  "frightened</w>": 47136,
-  "frightening</w>": 39290,
-  "fringe</w>": 10640,
-  "fris": 37252,
-  "frisbee</w>": 45768,
-  "frisco</w>": 35945,
-  "frit": 34614,
-  "fritz</w>": 29860,
-  "friyay</w>": 38887,
-  "frm</w>": 12951,
-  "fro": 626,
-  "fro</w>": 26603,
-  "frock</w>": 45306,
-  "frog": 26494,
-  "frog</w>": 11438,
-  "frogs</w>": 20781,
-  "from": 8330,
-  "from</w>": 633,
-  "frome</w>": 48691,
-  "fromhome</w>": 41477,
-  "fromthe": 18756,
-  "fron": 1847,
-  "fron</w>": 18036,
-  "front": 10996,
-  "front</w>": 2184,
-  "frontal</w>": 35794,
-  "frontier</w>": 18253,
-  "frontiers</w>": 38396,
-  "frontline</w>": 29589,
-  "frontman</w>": 36775,
-  "fronts</w>": 26846,
-  "froome</w>": 48560,
-  "frosh</w>": 47069,
-  "frost": 39420,
-  "frost</w>": 11619,
-  "frosted</w>": 35988,
-  "frosting</w>": 33872,
-  "frosty</w>": 22760,
-  "froze</w>": 47788,
-  "frozen": 42464,
-  "frozen</w>": 8507,
-  "frs</w>": 26216,
-  "fru": 3248,
-  "fruit": 16771,
-  "fruit</w>": 5190,
-  "fruitful</w>": 31494,
-  "fruits</w>": 13282,
-  "fruity</w>": 22320,
-  "frustr": 16046,
-  "frustrated</w>": 25111,
-  "frustrating</w>": 31342,
-  "frustration</w>": 30535,
-  "fry": 33914,
-  "fry</w>": 13686,
-  "fryer</w>": 49217,
-  "frying</w>": 38516,
-  "fs": 23699,
-  "fs</w>": 3854,
-  "fsa</w>": 33373,
-  "fsu": 44185,
-  "fsu</w>": 19317,
-  "ft": 3391,
-  "ft</w>": 981,
-  "fta</w>": 41975,
-  "ftc</w>": 33752,
-  "fted</w>": 5612,
-  "fter</w>": 25063,
-  "fthe": 22886,
-  "ftheday</w>": 9823,
-  "fting</w>": 6174,
-  "fton</w>": 26605,
-  "ftp</w>": 42649,
-  "fts</w>": 3767,
-  "ftse</w>": 46717,
-  "ftw</w>": 19298,
-  "fty</w>": 17494,
-  "fu": 665,
-  "fu</w>": 9098,
-  "fuch": 42617,
-  "fudge</w>": 24270,
-  "fue</w>": 43723,
-  "fuego</w>": 41500,
-  "fuel": 21113,
-  "fuel</w>": 5945,
-  "fueled</w>": 28792,
-  "fueling</w>": 38793,
-  "fuelled</w>": 48357,
-  "fuels</w>": 19365,
-  "fuentes</w>": 44393,
-  "fuer": 29645,
-  "fug": 29227,
-  "fugitive</w>": 39257,
-  "fuji": 15573,
-  "fuji</w>": 21634,
-  "fujifilm</w>": 24765,
-  "fuk</w>": 31051,
-  "fuku": 20728,
-  "fukushima</w>": 33929,
-  "ful": 1814,
-  "ful</w>": 857,
-  "fulbright</w>": 41834,
-  "fulfill": 43675,
-  "fulfill</w>": 27467,
-  "fulfilled</w>": 29919,
-  "fulfilling</w>": 30621,
-  "fulfillment</w>": 45573,
-  "fulham</w>": 25574,
-  "full": 9407,
-  "full</w>": 1476,
-  "fuller</w>": 20225,
-  "fullerton</w>": 42822,
-  "fullest</w>": 35603,
-  "fully": 39142,
-  "fully</w>": 2401,
-  "fulness</w>": 10526,
-  "fuls</w>": 41606,
-  "fulton</w>": 26725,
-  "fum</w>": 38393,
-  "fumble</w>": 49373,
-  "fun": 1229,
-  "fun</w>": 1499,
-  "func": 8679,
-  "function</w>": 8093,
-  "functional</w>": 12885,
-  "functionality</w>": 33316,
-  "functioning</w>": 25479,
-  "functions</w>": 18001,
-  "fund": 19089,
-  "fund</w>": 4877,
-  "fundam": 11670,
-  "fundament": 18852,
-  "fundamental</w>": 17627,
-  "fundamentally</w>": 45378,
-  "fundamentals</w>": 27887,
-  "funday</w>": 15439,
-  "funded</w>": 10588,
-  "funding</w>": 5588,
-  "fundra": 6201,
-  "fundraiser</w>": 10049,
-  "fundraising</w>": 10755,
-  "funds</w>": 7066,
-  "funer": 40693,
-  "funeral</w>": 10606,
-  "funfact</w>": 31596,
-  "funfactfriday</w>": 40710,
-  "fungal</w>": 38838,
-  "fungi</w>": 27837,
-  "fungus</w>": 30677,
-  "funk": 37353,
-  "funk</w>": 13372,
-  "funko": 49402,
-  "funko</w>": 23697,
-  "funky</w>": 16492,
-  "funnel</w>": 27862,
-  "funnier</w>": 42232,
-  "funniest</w>": 15557,
-  "funny": 19124,
-  "funny</w>": 3789,
-  "funrun</w>": 34185,
-  "fur": 2395,
-  "fur</w>": 9686,
-  "furi": 40816,
-  "furious</w>": 17522,
-  "furman</w>": 49238,
-  "furn": 21348,
-  "furnace</w>": 31913,
-  "furnished</w>": 37388,
-  "furnitu": 45696,
-  "furniture</w>": 7993,
-  "furry": 33414,
-  "furry</w>": 15351,
-  "fursuit": 25306,
-  "fursuit</w>": 43083,
-  "fursuitfriday</w>": 27917,
-  "further</w>": 5583,
-  "fury</w>": 14404,
-  "fus</w>": 18419,
-  "fuse</w>": 23386,
-  "fused</w>": 38994,
-  "fusion": 44661,
-  "fusion</w>": 9364,
-  "fuss</w>": 26331,
-  "fut": 21460,
-  "fut</w>": 34049,
-  "futbol</w>": 33014,
-  "futsal</w>": 20558,
-  "futu": 33454,
-  "futur": 38840,
-  "future": 7959,
-  "future</w>": 1904,
-  "futureof": 22599,
-  "futureofwork</w>": 33202,
-  "futures</w>": 13488,
-  "futuri": 19068,
-  "futurism</w>": 48435,
-  "futurist</w>": 48086,
-  "futuristic</w>": 30987,
-  "fuzz": 47128,
-  "fuzz</w>": 40443,
-  "fuzzy</w>": 25876,
-  "fv": 29795,
-  "fw": 23934,
-  "fw</w>": 5277,
-  "fwd</w>": 27052,
-  "fx": 17807,
-  "fx</w>": 9025,
-  "fy": 8440,
-  "fy</w>": 2702,
-  "fyi</w>": 16014,
-  "fying</w>": 5294,
-  "fz</w>": 46400,
-  "fé": 34072,
-  "g": 70,
-  "g</w>": 326,
-  "ga": 1275,
-  "ga</w>": 1531,
-  "gaa</w>": 10715,
-  "gaal</w>": 40867,
-  "gaard</w>": 24645,
-  "gab": 3927,
-  "gab</w>": 37382,
-  "gabbana</w>": 36272,
-  "gabby": 48115,
-  "gabby</w>": 24567,
-  "gabe</w>": 18916,
-  "gabi</w>": 41931,
-  "gable</w>": 33387,
-  "gables</w>": 40928,
-  "gabri": 8311,
-  "gabriel": 31684,
-  "gabriel</w>": 13244,
-  "gabrielle</w>": 33572,
-  "gaby</w>": 46420,
-  "gac</w>": 32520,
-  "gad": 7786,
-  "gad</w>": 44651,
-  "gadget</w>": 25525,
-  "gadgets</w>": 22840,
-  "gado</w>": 29489,
-  "gae</w>": 22003,
-  "gael</w>": 35663,
-  "gaelic</w>": 31173,
-  "gaf": 21354,
-  "gaf</w>": 32670,
-  "gag": 14121,
-  "gag</w>": 18844,
-  "gaga</w>": 9782,
-  "gage</w>": 21081,
-  "gah</w>": 27750,
-  "gai": 24214,
-  "gai</w>": 25153,
-  "gaia</w>": 41269,
-  "gail": 41160,
-  "gail</w>": 27676,
-  "gain": 21536,
-  "gain</w>": 6202,
-  "gaine": 35747,
-  "gained</w>": 14489,
-  "gaines</w>": 49225,
-  "gainesville</w>": 40427,
-  "gaining</w>": 15260,
-  "gains": 42751,
-  "gains</w>": 12107,
-  "gal": 2001,
-  "gal</w>": 4488,
-  "gala</w>": 7211,
-  "galac": 18864,
-  "galactic</w>": 25514,
-  "galap": 41115,
-  "galapagos</w>": 44057,
-  "galat": 39853,
-  "galatasar": 42413,
-  "galatasaray</w>": 47787,
-  "galax": 5647,
-  "galaxies</w>": 32435,
-  "galaxy": 32130,
-  "galaxy</w>": 6545,
-  "gale": 37658,
-  "gale</w>": 21380,
-  "galerie</w>": 44539,
-  "gales</w>": 48633,
-  "gali": 17546,
-  "gali</w>": 30552,
-  "galicia</w>": 47927,
-  "galileo</w>": 39671,
-  "gall": 3011,
-  "gall</w>": 33374,
-  "galla": 16847,
-  "gallagher</w>": 19168,
-  "galleria</w>": 40656,
-  "galleries</w>": 22304,
-  "gallery": 36648,
-  "gallery</w>": 3830,
-  "galley</w>": 48917,
-  "galli": 22568,
-  "gallipoli</w>": 47249,
-  "gallo": 37350,
-  "gallo</w>": 33265,
-  "gallon</w>": 24615,
-  "gallons</w>": 29335,
-  "galloway</w>": 27796,
-  "galore</w>": 22286,
-  "gals</w>": 20125,
-  "galvani": 46046,
-  "galve": 34328,
-  "galveston</w>": 36003,
-  "galway": 38045,
-  "galway</w>": 17112,
-  "gam": 1162,
-  "gam</w>": 34195,
-  "gama</w>": 35873,
-  "gambia</w>": 32988,
-  "gamble</w>": 26121,
-  "gambling</w>": 20287,
-  "game": 2882,
-  "game</w>": 1063,
-  "gameart</w>": 31490,
-  "gameboy</w>": 40951,
-  "gamecube</w>": 44079,
-  "gameday</w>": 9241,
-  "gamedev</w>": 7544,
-  "gameinsight</w>": 42626,
-  "gameof": 10987,
-  "gameofthrones</w>": 11822,
-  "gameon</w>": 47691,
-  "gameplay</w>": 16794,
-  "gamer": 12595,
-  "gamer</w>": 11598,
-  "gamergate</w>": 25961,
-  "gamers</w>": 16166,
-  "gamersunite</w>": 26423,
-  "games": 18551,
-  "games</w>": 1955,
-  "gamescom</w>": 37003,
-  "gamestop</w>": 39436,
-  "gametime</w>": 45899,
-  "gami</w>": 42025,
-  "gamification</w>": 48908,
-  "gaming": 28803,
-  "gaming</w>": 4017,
-  "gamma</w>": 22180,
-  "gamo</w>": 39325,
-  "gan": 1822,
-  "gan</w>": 1670,
-  "gand": 8399,
-  "ganda</w>": 27261,
-  "gander</w>": 44508,
-  "gandhi</w>": 12322,
-  "ganesh</w>": 30362,
-  "ganesha</w>": 45185,
-  "gang": 8066,
-  "gang</w>": 5674,
-  "ganga</w>": 36275,
-  "gangnam</w>": 46777,
-  "gangs</w>": 29844,
-  "gangsta</w>": 37365,
-  "gangster</w>": 26514,
-  "gani</w>": 48324,
-  "gann</w>": 45665,
-  "gannon</w>": 45837,
-  "gano</w>": 25304,
-  "gao</w>": 26556,
-  "gaon</w>": 19279,
-  "gap": 29906,
-  "gap</w>": 7609,
-  "gaps</w>": 25296,
-  "gar": 1099,
-  "gar</w>": 5824,
-  "gara</w>": 28710,
-  "garage</w>": 8474,
-  "garbage</w>": 13760,
-  "garci": 44658,
-  "garcia</w>": 10529,
-  "gard": 7751,
-  "gard</w>": 21003,
-  "garda</w>": 31906,
-  "garde</w>": 22649,
-  "garden": 4674,
-  "garden</w>": 2756,
-  "gardenchat</w>": 46292,
-  "gardener</w>": 28554,
-  "gardeners</w>": 38205,
-  "gardening</w>": 10483,
-  "gardens</w>": 6152,
-  "gardiner</w>": 43121,
-  "gardner</w>": 18710,
-  "gare": 5633,
-  "gare</w>": 48402,
-  "gareth": 37140,
-  "gareth</w>": 18175,
-  "garfield</w>": 26728,
-  "garh</w>": 16762,
-  "gari": 40898,
-  "gari</w>": 43080,
-  "garis</w>": 37839,
-  "garland</w>": 23418,
-  "garlic</w>": 9685,
-  "garment</w>": 31418,
-  "garments</w>": 43341,
-  "garmin</w>": 39885,
-  "garner</w>": 20340,
-  "garnet</w>": 37669,
-  "garo</w>": 30388,
-  "garrett</w>": 15881,
-  "garri": 21764,
-  "garrison</w>": 30108,
-  "garros</w>": 40425,
-  "garry</w>": 24398,
-  "gars</w>": 12055,
-  "gart": 18380,
-  "gart</w>": 18751,
-  "garten</w>": 14684,
-  "garter</w>": 48420,
-  "garth": 45398,
-  "garth</w>": 24469,
-  "gartner": 43334,
-  "gartner</w>": 29678,
-  "garty</w>": 46383,
-  "garu</w>": 31140,
-  "garvey</w>": 39511,
-  "garwal</w>": 38623,
-  "gary": 10535,
-  "gary</w>": 4516,
-  "garza</w>": 49393,
-  "gas": 5047,
-  "gas</w>": 2474,
-  "gases</w>": 36971,
-  "gasoline</w>": 27691,
-  "gasp</w>": 43762,
-  "gaston</w>": 40669,
-  "gastri": 49197,
-  "gastro": 23740,
-  "gastron": 30699,
-  "gastronomy</w>": 46987,
-  "gat": 5314,
-  "gat</w>": 18941,
-  "gata</w>": 44575,
-  "gate": 8071,
-  "gate</w>": 3302,
-  "gated</w>": 23997,
-  "gates</w>": 9472,
-  "gateshead</w>": 40051,
-  "gateway": 45221,
-  "gateway</w>": 14943,
-  "gather": 36345,
-  "gather</w>": 12602,
-  "gathered</w>": 14646,
-  "gathering</w>": 9197,
-  "gatherings</w>": 48096,
-  "gathers</w>": 39250,
-  "gating</w>": 27561,
-  "gation</w>": 11095,
-  "gations</w>": 33906,
-  "gato</w>": 44492,
-  "gator": 20216,
-  "gator</w>": 16390,
-  "gatorade</w>": 36354,
-  "gators</w>": 17173,
-  "gatory</w>": 24796,
-  "gatsby</w>": 32586,
-  "gatwick</w>": 37122,
-  "gau": 5919,
-  "gau</w>": 43068,
-  "gauge</w>": 18728,
-  "gaunt": 31862,
-  "gauntlet</w>": 37163,
-  "gautam": 45853,
-  "gautam</w>": 31356,
-  "gauteng</w>": 40333,
-  "gav": 8966,
-  "gave</w>": 3485,
-  "gavin": 32974,
-  "gavin</w>": 16389,
-  "gaw": 15405,
-  "gawd</w>": 43239,
-  "gawx</w>": 43420,
-  "gay": 7460,
-  "gay</w>": 5627,
-  "gaya</w>": 39477,
-  "gaye</w>": 41401,
-  "gayle</w>": 29998,
-  "gayo</w>": 36768,
-  "gays</w>": 28001,
-  "gaz": 4837,
-  "gaz</w>": 36475,
-  "gaza": 38391,
-  "gaza</w>": 10112,
-  "gazaunderattack</w>": 42458,
-  "gaze</w>": 23212,
-  "gazette</w>": 20443,
-  "gazing</w>": 28373,
-  "gb": 8727,
-  "gb</w>": 4619,
-  "gba</w>": 18528,
-  "gbbo</w>": 34474,
-  "gbc</w>": 42993,
-  "gbp</w>": 27391,
-  "gbr</w>": 31984,
-  "gby</w>": 40509,
-  "gc": 8577,
-  "gc</w>": 6043,
-  "gcc</w>": 26804,
-  "gcse</w>": 28763,
-  "gcu</w>": 34137,
-  "gd": 13264,
-  "gd</w>": 14604,
-  "gdc</w>": 32793,
-  "gden</w>": 44928,
-  "gdp</w>": 17100,
-  "gdpr</w>": 22963,
-  "ge": 619,
-  "ge</w>": 710,
-  "gea</w>": 26790,
-  "gear": 15532,
-  "gear</w>": 4802,
-  "gearbox</w>": 42454,
-  "geared</w>": 33903,
-  "gearing</w>": 19027,
-  "gears</w>": 21147,
-  "geaux": 36313,
-  "gecko</w>": 38616,
-  "ged": 17252,
-  "ged</w>": 3480,
-  "geddon</w>": 31720,
-  "gedly</w>": 13991,
-  "gee": 9806,
-  "gee</w>": 9071,
-  "geek": 17920,
-  "geek</w>": 7135,
-  "geeks</w>": 20110,
-  "geeky</w>": 47332,
-  "geel": 25906,
-  "geelong</w>": 34555,
-  "gees</w>": 38088,
-  "geese</w>": 26413,
-  "geez</w>": 42394,
-  "geh": 30320,
-  "geist</w>": 38290,
-  "gel": 7343,
-  "gel</w>": 5697,
-  "gelato</w>": 29577,
-  "gels</w>": 42552,
-  "gely</w>": 14637,
-  "gem": 14261,
-  "gem</w>": 7613,
-  "gement</w>": 19495,
-  "gemini</w>": 23086,
-  "gemma</w>": 23952,
-  "gems</w>": 14355,
-  "gemstone</w>": 27747,
-  "gemstones</w>": 43972,
-  "gen": 1024,
-  "gen</w>": 3278,
-  "gence</w>": 16088,
-  "gency</w>": 5245,
-  "gend": 33247,
-  "gender": 22976,
-  "gender</w>": 5906,
-  "gendere": 35824,
-  "genderequality</w>": 43338,
-  "gene": 5822,
-  "gene</w>": 7962,
-  "genealo": 24142,
-  "genealogy</w>": 29381,
-  "gener": 1832,
-  "general": 20576,
-  "general</w>": 3658,
-  "generally</w>": 19256,
-  "generals</w>": 30296,
-  "generate</w>": 16896,
-  "generated</w>": 19450,
-  "generates</w>": 33938,
-  "generating</w>": 23882,
-  "generation": 41211,
-  "generation</w>": 4883,
-  "generational</w>": 34506,
-  "generations</w>": 12247,
-  "generative</w>": 29472,
-  "generator</w>": 19399,
-  "generators</w>": 41917,
-  "generic</w>": 26978,
-  "generosity</w>": 23015,
-  "generous</w>": 12570,
-  "generously</w>": 35113,
-  "genes</w>": 19683,
-  "genesis</w>": 13518,
-  "genetic": 47746,
-  "genetic</w>": 13578,
-  "genetically</w>": 36745,
-  "genetics</w>": 18276,
-  "geneva</w>": 14799,
-  "genevie": 41633,
-  "genevieve</w>": 46584,
-  "geni": 22334,
-  "genic</w>": 15750,
-  "genie</w>": 24221,
-  "genital</w>": 32960,
-  "genius</w>": 8235,
-  "geniuses</w>": 41406,
-  "geno": 41544,
-  "geno</w>": 46776,
-  "genoa</w>": 43993,
-  "genoci": 14687,
-  "genocide</w>": 15903,
-  "genome</w>": 23991,
-  "genomic</w>": 44371,
-  "genomics</w>": 26227,
-  "genre</w>": 14249,
-  "genres</w>": 30340,
-  "gens</w>": 17449,
-  "gent": 3685,
-  "gent</w>": 7139,
-  "gente</w>": 34325,
-  "gentle": 7262,
-  "gentle</w>": 13577,
-  "gentleman</w>": 13293,
-  "gentlemen</w>": 11692,
-  "gently</w>": 17187,
-  "gento</w>": 28320,
-  "gentri": 41148,
-  "gentry</w>": 47225,
-  "gents</w>": 18862,
-  "genu": 9182,
-  "genuine</w>": 12184,
-  "genuinely</w>": 20006,
-  "genus</w>": 38161,
-  "geny</w>": 35323,
-  "geo": 5038,
-  "geo</w>": 11604,
-  "geocaching</w>": 47908,
-  "geof": 20629,
-  "geoff": 33697,
-  "geoff</w>": 20386,
-  "geoffrey</w>": 29520,
-  "geograph": 45920,
-  "geographic</w>": 22635,
-  "geographical</w>": 39380,
-  "geography</w>": 17101,
-  "geological</w>": 38380,
-  "geology</w>": 21578,
-  "geom": 46135,
-  "geome": 12958,
-  "geometric</w>": 22419,
-  "geometry</w>": 21731,
-  "geon": 20844,
-  "geon</w>": 7295,
-  "geons</w>": 15914,
-  "geopol": 39758,
-  "geor": 2549,
-  "georg</w>": 43126,
-  "george": 8377,
-  "george</w>": 3296,
-  "georges</w>": 25042,
-  "georgetown</w>": 22970,
-  "georgie</w>": 42115,
-  "georgina</w>": 43892,
-  "geospatial</w>": 46238,
-  "geothermal</w>": 38413,
-  "geous</w>": 3068,
-  "ger": 1291,
-  "ger</w>": 1502,
-  "gera</w>": 48867,
-  "gerald": 29901,
-  "gerald</w>": 13269,
-  "gerard": 35979,
-  "gerard</w>": 20826,
-  "gerber</w>": 45058,
-  "gered</w>": 40179,
-  "geri": 41664,
-  "geri</w>": 46214,
-  "gering</w>": 24077,
-  "germain</w>": 38786,
-  "german": 14972,
-  "german</w>": 4710,
-  "germans</w>": 28400,
-  "germany</w>": 4464,
-  "germin": 44721,
-  "germs</w>": 47731,
-  "geronimo</w>": 45171,
-  "gerrard</w>": 26538,
-  "gerry": 29825,
-  "gerry</w>": 23026,
-  "gers</w>": 3314,
-  "gertrude</w>": 46950,
-  "gervais</w>": 36527,
-  "gery</w>": 32845,
-  "ges</w>": 3316,
-  "gest": 11843,
-  "gest</w>": 2033,
-  "gesture</w>": 21780,
-  "gestures</w>": 43524,
-  "get": 5670,
-  "get</w>": 779,
-  "geta": 13155,
-  "getaway</w>": 16131,
-  "gether</w>": 27224,
-  "getic</w>": 20661,
-  "getin": 25822,
-  "getit": 44891,
-  "getit</w>": 48315,
-  "getoutside</w>": 35644,
-  "gets": 39448,
-  "gets</w>": 2127,
-  "gett": 6647,
-  "gett</w>": 27965,
-  "gettable</w>": 15620,
-  "gette</w>": 29800,
-  "gettin</w>": 13428,
-  "getting": 30885,
-  "getting</w>": 1500,
-  "getty": 31185,
-  "getty</w>": 13965,
-  "gettys": 35189,
-  "gettysburg</w>": 37062,
-  "getyour": 42159,
-  "gey</w>": 29289,
-  "gf": 28953,
-  "gf</w>": 10846,
-  "gfriend</w>": 35245,
-  "gfs</w>": 37553,
-  "gg": 1129,
-  "gg</w>": 3286,
-  "gga</w>": 26003,
-  "ggan</w>": 25626,
-  "gge": 21521,
-  "gge</w>": 31659,
-  "gged</w>": 6095,
-  "gger": 12367,
-  "gger</w>": 3493,
-  "ggers</w>": 7480,
-  "ggg</w>": 20143,
-  "gggg</w>": 33513,
-  "ggi</w>": 21662,
-  "ggin</w>": 17160,
-  "gging</w>": 4966,
-  "ggins</w>": 12444,
-  "ggle": 34981,
-  "ggle</w>": 11430,
-  "ggled</w>": 46328,
-  "ggles</w>": 14703,
-  "ggling</w>": 16523,
-  "ggly</w>": 39407,
-  "ggs</w>": 4797,
-  "ggy": 24935,
-  "ggy</w>": 6476,
-  "gh": 583,
-  "gh</w>": 790,
-  "gha": 10010,
-  "gha</w>": 25183,
-  "gham": 21456,
-  "ghan": 18945,
-  "ghan</w>": 6624,
-  "ghana": 30330,
-  "ghana</w>": 9731,
-  "ghanaian</w>": 34223,
-  "ghani</w>": 36699,
-  "ghar": 37334,
-  "ghar</w>": 36973,
-  "ghat</w>": 43989,
-  "ghaz": 37493,
-  "ghc</w>": 42139,
-  "ghe": 10754,
-  "ghe</w>": 28561,
-  "ghead</w>": 40783,
-  "ghee</w>": 34794,
-  "gher": 21542,
-  "gher</w>": 14796,
-  "ghet": 18447,
-  "ghetti</w>": 17485,
-  "ghetto</w>": 22403,
-  "ghi": 22436,
-  "ghi</w>": 22279,
-  "ghibli</w>": 40555,
-  "ghj": 38439,
-  "ghlin</w>": 24131,
-  "gho": 4307,
-  "ghorn</w>": 38094,
-  "ghosh</w>": 43279,
-  "ghoshal</w>": 49134,
-  "ghost": 11417,
-  "ghost</w>": 7108,
-  "ghostbusters</w>": 25462,
-  "ghostly</w>": 44901,
-  "ghosts</w>": 16737,
-  "ghou": 35843,
-  "ghoul</w>": 45302,
-  "ghouse</w>": 38238,
-  "ghs</w>": 14157,
-  "ght": 1413,
-  "ght</w>": 630,
-  "ghted</w>": 4963,
-  "ghter</w>": 2427,
-  "ghters</w>": 12994,
-  "ghtful</w>": 8334,
-  "ghting</w>": 3019,
-  "ghtly</w>": 6993,
-  "ghtning</w>": 39740,
-  "ghton</w>": 16353,
-  "ghts</w>": 1259,
-  "ghty": 20968,
-  "ghty</w>": 5866,
-  "ghu": 25808,
-  "ghue</w>": 45675,
-  "ghyun</w>": 25010,
-  "ghz</w>": 24325,
-  "gi": 707,
-  "gi</w>": 4478,
-  "gia</w>": 8864,
-  "giac": 35444,
-  "giam": 39623,
-  "gian": 17274,
-  "gian</w>": 12866,
-  "gianni</w>": 46752,
-  "giant": 23668,
-  "giant</w>": 4687,
-  "giants</w>": 7076,
-  "giar": 34241,
-  "gib": 9816,
-  "gibb": 18964,
-  "gibbons</w>": 31974,
-  "gibbs</w>": 26488,
-  "gibility</w>": 33297,
-  "gible</w>": 13159,
-  "gibr": 20206,
-  "gibraltar</w>": 23988,
-  "gibson": 37420,
-  "gibson</w>": 12178,
-  "gic": 27900,
-  "gic</w>": 2570,
-  "gical</w>": 32973,
-  "gically</w>": 26320,
-  "gid": 36774,
-  "gid</w>": 21413,
-  "giddy</w>": 40894,
-  "gideon</w>": 43867,
-  "gidi</w>": 30603,
-  "gie": 11459,
-  "gie</w>": 3991,
-  "gier</w>": 28974,
-  "gies</w>": 5505,
-  "gif": 11363,
-  "gif</w>": 11677,
-  "gifford</w>": 47850,
-  "gifs</w>": 37643,
-  "gift": 20569,
-  "gift</w>": 2733,
-  "gifted</w>": 15110,
-  "giftide": 20152,
-  "giftideas</w>": 23487,
-  "gifting</w>": 39546,
-  "gifts</w>": 5836,
-  "gig": 26981,
-  "gig</w>": 7471,
-  "gigab": 34530,
-  "gigan": 24104,
-  "gigantic</w>": 31507,
-  "giggle</w>": 36426,
-  "giggles</w>": 42731,
-  "giggs</w>": 44692,
-  "gigi": 44106,
-  "gigi</w>": 26171,
-  "gigs</w>": 20316,
-  "gil": 3997,
-  "gil</w>": 10088,
-  "gila</w>": 46952,
-  "gilbert</w>": 14154,
-  "gilded</w>": 44341,
-  "giles</w>": 24802,
-  "gill": 14280,
-  "gill</w>": 12003,
-  "gille": 29610,
-  "gilles</w>": 39590,
-  "gillespie</w>": 36242,
-  "gillette</w>": 38603,
-  "gilli": 13695,
-  "gillian</w>": 28753,
-  "gills</w>": 48851,
-  "gilmore</w>": 27603,
-  "gilt</w>": 44378,
-  "gim": 31284,
-  "gimm": 40692,
-  "gimme</w>": 21525,
-  "gin": 3374,
-  "gin</w>": 4941,
-  "gina</w>": 15604,
-  "gine": 27482,
-  "ging": 10829,
-  "ging</w>": 3905,
-  "ginger": 16287,
-  "ginger</w>": 9718,
-  "gingerbread</w>": 23692,
-  "gini</w>": 35768,
-  "gino</w>": 36521,
-  "gins</w>": 18328,
-  "gio": 16329,
-  "gio</w>": 8050,
-  "gion</w>": 41226,
-  "gior": 14920,
-  "giorgio</w>": 33271,
-  "giorno</w>": 33310,
-  "gios</w>": 41927,
-  "gious</w>": 14419,
-  "giov": 21404,
-  "giovanni</w>": 26574,
-  "gipp": 41351,
-  "gir": 1077,
-  "gir</w>": 25481,
-  "gira": 16949,
-  "giraffe</w>": 22826,
-  "giri</w>": 31709,
-  "girl": 3914,
-  "girl</w>": 1611,
-  "girlfriend</w>": 8217,
-  "girlfriends</w>": 30736,
-  "girlpower</w>": 37433,
-  "girls": 15480,
-  "girls</w>": 1917,
-  "girly</w>": 29605,
-  "giro": 39664,
-  "giro</w>": 26454,
-  "girona</w>": 47842,
-  "giroud</w>": 41177,
-  "gis": 16266,
-  "gis</w>": 12773,
-  "gist</w>": 21241,
-  "git": 16060,
-  "git</w>": 20918,
-  "gita</w>": 40838,
-  "github</w>": 31196,
-  "giu": 17931,
-  "giuli": 29762,
-  "giuliani</w>": 47739,
-  "giuse": 29385,
-  "giuseppe</w>": 33563,
-  "give": 4120,
-  "give</w>": 1781,
-  "giveaway</w>": 5310,
-  "giveaways</w>": 18974,
-  "giveback</w>": 41385,
-  "given": 33323,
-  "given</w>": 4302,
-  "givenchy</w>": 38245,
-  "giver</w>": 43339,
-  "gives</w>": 3926,
-  "giveup</w>": 35485,
-  "giving": 14673,
-  "giving</w>": 2339,
-  "givingback</w>": 49300,
-  "givingtuesday</w>": 23556,
-  "giz": 29237,
-  "gk": 38953,
-  "gk</w>": 18719,
-  "gl": 1849,
-  "gl</w>": 14751,
-  "gla": 1523,
-  "gla</w>": 36904,
-  "glaci": 14924,
-  "glacial</w>": 40782,
-  "glacier</w>": 19282,
-  "glaciers</w>": 42528,
-  "glad": 20841,
-  "glad</w>": 4761,
-  "glades</w>": 37432,
-  "gladi": 21742,
-  "gladiator</w>": 38477,
-  "gladiators</w>": 41087,
-  "gladly</w>": 41598,
-  "gladys</w>": 43168,
-  "glam": 8738,
-  "glam</w>": 16905,
-  "glamorous</w>": 22896,
-  "glamour": 42876,
-  "glamour</w>": 17499,
-  "glamping</w>": 46167,
-  "glan": 40482,
-  "glan</w>": 45844,
-  "glance</w>": 26557,
-  "gland</w>": 41441,
-  "glar": 48535,
-  "glar</w>": 41702,
-  "glare</w>": 46035,
-  "glas": 29935,
-  "glas</w>": 43654,
-  "glasgo": 6757,
-  "glasgow": 29990,
-  "glasgow</w>": 7363,
-  "glass": 16305,
-  "glass</w>": 3313,
-  "glasses</w>": 6116,
-  "glaston": 26848,
-  "glastonbury</w>": 28233,
-  "glau": 39171,
-  "glaze</w>": 28112,
-  "glazed</w>": 24122,
-  "gle": 7166,
-  "gle</w>": 2865,
-  "glee": 32379,
-  "glee</w>": 21614,
-  "glen": 6158,
-  "glen</w>": 11049,
-  "glend": 38332,
-  "glendale</w>": 33043,
-  "glenn": 32004,
-  "glenn</w>": 12861,
-  "gler</w>": 34649,
-  "gley</w>": 21998,
-  "gli": 5896,
-  "gli</w>": 28791,
-  "glia</w>": 22217,
-  "glide</w>": 37321,
-  "glider</w>": 41636,
-  "glimp": 12888,
-  "glimpse</w>": 13817,
-  "glio</w>": 29785,
-  "glit": 21079,
-  "glitch</w>": 29563,
-  "glitter</w>": 16528,
-  "glitz</w>": 44542,
-  "glo": 1721,
-  "glo</w>": 30474,
-  "glob": 13363,
-  "global": 6707,
-  "global</w>": 2779,
-  "globalgoals</w>": 33211,
-  "globalhealth</w>": 46751,
-  "globalization</w>": 47680,
-  "globally</w>": 17775,
-  "globalwarming</w>": 46017,
-  "globe": 19436,
-  "globe</w>": 9368,
-  "globes</w>": 38085,
-  "glock</w>": 38818,
-  "glomer": 43689,
-  "gloom</w>": 48594,
-  "gloomy</w>": 32199,
-  "glori": 7270,
-  "gloria</w>": 19244,
-  "glorious</w>": 9171,
-  "glory": 36107,
-  "glory</w>": 7285,
-  "glos</w>": 40633,
-  "gloss": 38258,
-  "gloss</w>": 22014,
-  "glossy</w>": 29802,
-  "glou": 15989,
-  "gloucester": 28133,
-  "gloucester</w>": 23835,
-  "gloucestershire</w>": 33789,
-  "glove</w>": 16078,
-  "glover</w>": 21594,
-  "gloves</w>": 12363,
-  "glow": 30472,
-  "glow</w>": 10111,
-  "glowing</w>": 18437,
-  "glows</w>": 48107,
-  "glu": 5952,
-  "glu</w>": 32281,
-  "glucose</w>": 34642,
-  "glue</w>": 22103,
-  "glued</w>": 38135,
-  "gluten": 15482,
-  "gluten</w>": 15524,
-  "glutenfree</w>": 16138,
-  "gly": 13027,
-  "glycer": 48914,
-  "gm": 18743,
-  "gm</w>": 5918,
-  "gma</w>": 18155,
-  "gmail</w>": 11119,
-  "gman": 41043,
-  "gman</w>": 36936,
-  "gmb": 35934,
-  "gmb</w>": 31799,
-  "gmbh</w>": 46877,
-  "gmc</w>": 27257,
-  "gmo</w>": 23486,
-  "gms</w>": 36987,
-  "gmt</w>": 13803,
-  "gn": 2455,
-  "gn</w>": 9831,
-  "gna</w>": 23009,
-  "gnation</w>": 45912,
-  "gne</w>": 25407,
-  "gni": 5104,
-  "gnment</w>": 25110,
-  "gno": 23376,
-  "gno</w>": 43686,
-  "gnocchi</w>": 48299,
-  "gnome</w>": 33643,
-  "gnon</w>": 20561,
-  "go": 650,
-  "go</w>": 861,
-  "goa</w>": 14399,
-  "goal": 9003,
-  "goal</w>": 3321,
-  "goalie</w>": 20723,
-  "goalkeeper</w>": 16601,
-  "goals</w>": 3295,
-  "goalscorer</w>": 43547,
-  "goaltender</w>": 44151,
-  "goat": 34082,
-  "goat</w>": 9530,
-  "goats</w>": 18393,
-  "gob": 29559,
-  "gobeavs</w>": 48285,
-  "goblin</w>": 26223,
-  "goblue</w>": 25232,
-  "gobucks</w>": 29175,
-  "gocougs</w>": 34202,
-  "god": 4190,
-  "god</w>": 1731,
-  "godawgs</w>": 40436,
-  "godbless": 46616,
-  "godbless</w>": 44007,
-  "godd": 16589,
-  "goddamn</w>": 28495,
-  "goddard</w>": 37827,
-  "goddess</w>": 10808,
-  "godfather</w>": 26222,
-  "godfrey</w>": 40148,
-  "godis": 38521,
-  "godly</w>": 42438,
-  "gods": 33620,
-  "gods</w>": 10328,
-  "goducks</w>": 35889,
-  "godzilla</w>": 23369,
-  "goe": 22084,
-  "goers</w>": 27784,
-  "goes": 43581,
-  "goes</w>": 2635,
-  "gof": 17537,
-  "goff</w>": 34399,
-  "goftheday</w>": 39360,
-  "gofund": 34445,
-  "gofundme</w>": 34686,
-  "gog</w>": 42949,
-  "goggles</w>": 31027,
-  "gogh</w>": 19697,
-  "gogo</w>": 22688,
-  "gogreen</w>": 36279,
-  "gohawks</w>": 34884,
-  "goi</w>": 24917,
-  "goin</w>": 13939,
-  "going": 25787,
-  "going</w>": 1245,
-  "goku</w>": 29550,
-  "gol": 1537,
-  "gol</w>": 18257,
-  "gola</w>": 41090,
-  "gold": 4999,
-  "gold</w>": 2209,
-  "goldberg</w>": 25161,
-  "goldcoast</w>": 34634,
-  "golden": 10763,
-  "golden</w>": 3878,
-  "goldeng": 20650,
-  "goldenglobes</w>": 26842,
-  "goldfish</w>": 40293,
-  "goldie</w>": 42805,
-  "goldman</w>": 27164,
-  "golds": 30526,
-  "golds</w>": 40283,
-  "goldsmith</w>": 40214,
-  "gole": 41297,
-  "golf": 9096,
-  "golf</w>": 3096,
-  "golfclub</w>": 45742,
-  "golfer</w>": 24579,
-  "golfers</w>": 28441,
-  "golfing</w>": 31379,
-  "goli": 29265,
-  "goliath</w>": 41602,
-  "gom": 7051,
-  "goma</w>": 46198,
-  "gomes</w>": 39128,
-  "gomez</w>": 16433,
-  "gon": 1854,
-  "gon</w>": 3379,
-  "gona</w>": 34835,
-  "gone": 35135,
-  "gone</w>": 3601,
-  "gong</w>": 28486,
-  "gonna</w>": 2562,
-  "gonz": 10587,
-  "gonzaga</w>": 36241,
-  "gonzale": 17512,
-  "gonzales</w>": 31265,
-  "gonzalez</w>": 18198,
-  "goo": 1381,
-  "goo</w>": 17882,
-  "good": 2185,
-  "good</w>": 886,
-  "goodbye</w>": 6968,
-  "goodday": 46284,
-  "goode</w>": 42076,
-  "goodfood</w>": 46844,
-  "goodfriday</w>": 40360,
-  "goodie</w>": 29213,
-  "goodies</w>": 13308,
-  "goodluck</w>": 19718,
-  "goodman</w>": 24146,
-  "goodmorning</w>": 14421,
-  "goodness</w>": 10531,
-  "goodnight</w>": 8540,
-  "goodreads</w>": 31629,
-  "goods</w>": 9340,
-  "goodtimes</w>": 22570,
-  "goodvibes</w>": 43146,
-  "goodwill</w>": 24902,
-  "goodwin</w>": 28080,
-  "goodwood</w>": 30008,
-  "goody</w>": 35937,
-  "goodyear</w>": 42858,
-  "goofy</w>": 26879,
-  "goog": 18581,
-  "google": 12195,
-  "google</w>": 3460,
-  "googled</w>": 40345,
-  "googleplay</w>": 37309,
-  "goon</w>": 15267,
-  "goons</w>": 30440,
-  "goooo": 35876,
-  "goooo</w>": 48957,
-  "goose": 21445,
-  "goose</w>": 13822,
-  "goosebumps</w>": 32254,
-  "gop": 18942,
-  "gop</w>": 6250,
-  "gopack": 46995,
-  "gopackgo</w>": 47719,
-  "gopal</w>": 47268,
-  "gopdebate</w>": 39806,
-  "gopher": 47750,
-  "gopher</w>": 48905,
-  "gophers</w>": 31957,
-  "gopro</w>": 17511,
-  "gor": 1747,
-  "gor</w>": 29827,
-  "gordo</w>": 47707,
-  "gordon": 20485,
-  "gordon</w>": 8244,
-  "gore": 30311,
-  "gore</w>": 17872,
-  "gorg</w>": 46815,
-  "gorge": 35548,
-  "gorge</w>": 20038,
-  "gorgeous</w>": 3241,
-  "gori": 12461,
-  "goria</w>": 43359,
-  "gorilla": 37910,
-  "gorilla</w>": 21994,
-  "gorman</w>": 35741,
-  "goro</w>": 44977,
-  "gory</w>": 7160,
-  "gos": 20517,
-  "gos</w>": 5693,
-  "gosh</w>": 15395,
-  "gosling</w>": 35320,
-  "gosp": 9617,
-  "gospel</w>": 11313,
-  "goss": 39734,
-  "goss</w>": 36924,
-  "gossi": 15684,
-  "gossip</w>": 18963,
-  "got": 10125,
-  "got</w>": 1005,
-  "gota</w>": 36693,
-  "gotcha</w>": 43275,
-  "gote</w>": 49345,
-  "goth": 48465,
-  "goth</w>": 20437,
-  "gotham": 46123,
-  "gotham</w>": 18299,
-  "gothic</w>": 15426,
-  "goti": 9497,
-  "goto": 39715,
-  "gots</w>": 35215,
-  "gott": 5089,
-  "gott</w>": 36466,
-  "gotta</w>": 4633,
-  "gotten</w>": 5889,
-  "gotti</w>": 41881,
-  "gotv</w>": 36089,
-  "gou": 10520,
-  "gou</w>": 36555,
-  "gouache</w>": 43314,
-  "goul": 33187,
-  "gould</w>": 31087,
-  "gour": 13580,
-  "gourmet</w>": 19111,
-  "gov": 4022,
-  "gov</w>": 4564,
-  "gove</w>": 36997,
-  "govegan</w>": 38886,
-  "gover": 10471,
-  "gover</w>": 16759,
-  "govern": 2351,
-  "govern</w>": 32404,
-  "governance</w>": 13386,
-  "governing</w>": 30946,
-  "government</w>": 3149,
-  "governmental</w>": 42609,
-  "governments</w>": 19582,
-  "governor": 17459,
-  "governor</w>": 6630,
-  "governors</w>": 26881,
-  "govin": 42451,
-  "govt</w>": 5345,
-  "govuk</w>": 28830,
-  "gow": 21885,
-  "gow</w>": 33788,
-  "gowan</w>": 31307,
-  "gower</w>": 43448,
-  "gown</w>": 13719,
-  "gowns</w>": 38029,
-  "goyal</w>": 35105,
-  "gp": 19329,
-  "gp</w>": 5051,
-  "gpa</w>": 24098,
-  "gps</w>": 13639,
-  "gpu</w>": 38561,
-  "gq": 40286,
-  "gq</w>": 31324,
-  "gr": 709,
-  "gr</w>": 6062,
-  "gra": 782,
-  "gra</w>": 15276,
-  "grab</w>": 4646,
-  "grabbed</w>": 22856,
-  "grabbing</w>": 26440,
-  "grabs</w>": 17076,
-  "grac": 11323,
-  "grace": 13225,
-  "grace</w>": 5142,
-  "graced</w>": 31894,
-  "graceful</w>": 25242,
-  "graces</w>": 38629,
-  "graci": 11174,
-  "gracias</w>": 16463,
-  "gracie</w>": 23235,
-  "gracing</w>": 37263,
-  "gracious</w>": 29044,
-  "grad": 19869,
-  "grad</w>": 7291,
-  "gradable</w>": 41529,
-  "grade": 45435,
-  "grade</w>": 3394,
-  "graded</w>": 13823,
-  "grader</w>": 23930,
-  "graders</w>": 10930,
-  "grades</w>": 10838,
-  "gradient</w>": 36885,
-  "grading</w>": 19016,
-  "grads</w>": 17811,
-  "gradu": 3230,
-  "gradual</w>": 45210,
-  "gradually</w>": 32192,
-  "graduate</w>": 6675,
-  "graduated</w>": 15128,
-  "graduates</w>": 12236,
-  "graduating</w>": 14819,
-  "graduation</w>": 8060,
-  "grady</w>": 33980,
-  "graeme</w>": 30192,
-  "graf": 46478,
-  "graf</w>": 39765,
-  "graff": 10656,
-  "graffiti</w>": 11676,
-  "graft</w>": 32698,
-  "grafton</w>": 47347,
-  "graham": 19805,
-  "graham</w>": 7711,
-  "grail</w>": 37184,
-  "grain": 44003,
-  "grain</w>": 12109,
-  "grains</w>": 25791,
-  "gral</w>": 25631,
-  "gram": 2949,
-  "gram</w>": 2338,
-  "grammar</w>": 16077,
-  "grammy</w>": 15388,
-  "grammys</w>": 18121,
-  "grams</w>": 6294,
-  "gran": 3892,
-  "gran</w>": 14493,
-  "granada</w>": 31172,
-  "grand": 3058,
-  "grand</w>": 2991,
-  "grandad</w>": 29148,
-  "grandchildren</w>": 36856,
-  "granddaughter</w>": 29460,
-  "grande": 37514,
-  "grande</w>": 10757,
-  "grandes</w>": 36382,
-  "grandfather</w>": 15346,
-  "grandma</w>": 10525,
-  "grandmother</w>": 17469,
-  "grandpa</w>": 14582,
-  "grandparents</w>": 21311,
-  "grandprix</w>": 39358,
-  "grandson</w>": 20766,
-  "grandstand</w>": 43172,
-  "grange": 45027,
-  "grange</w>": 23850,
-  "granger</w>": 42968,
-  "granite</w>": 18813,
-  "grann</w>": 45585,
-  "granny</w>": 22710,
-  "granola</w>": 34271,
-  "grant": 18682,
-  "grant</w>": 5442,
-  "granted</w>": 14156,
-  "granth": 41283,
-  "grants</w>": 15123,
-  "grape": 19131,
-  "grape</w>": 15959,
-  "grapefruit</w>": 28347,
-  "grapes</w>": 18580,
-  "grapevine</w>": 47619,
-  "graph": 1349,
-  "graph</w>": 4407,
-  "graphene</w>": 38387,
-  "grapher</w>": 14987,
-  "graphers</w>": 32088,
-  "graphic": 15653,
-  "graphic</w>": 4245,
-  "graphical</w>": 20878,
-  "graphicdesign</w>": 21907,
-  "graphics</w>": 9492,
-  "graphies</w>": 40164,
-  "graphite</w>": 29447,
-  "graphs</w>": 24670,
-  "graphy</w>": 4897,
-  "grapp": 30843,
-  "gras": 31517,
-  "gras</w>": 17584,
-  "grasp</w>": 34975,
-  "grass": 11584,
-  "grass</w>": 5922,
-  "grasses</w>": 46807,
-  "grasshopper</w>": 48894,
-  "grassi</w>": 42294,
-  "grasso</w>": 34808,
-  "grassroots</w>": 21991,
-  "grassy</w>": 44140,
-  "grat": 9221,
-  "grate": 32463,
-  "grateful": 45659,
-  "grateful</w>": 5730,
-  "grati": 36402,
-  "gratis</w>": 33638,
-  "gratitude</w>": 12614,
-  "grav": 20663,
-  "grave": 16606,
-  "grave</w>": 9981,
-  "gravel</w>": 27054,
-  "graves</w>": 17665,
-  "graveyard</w>": 31176,
-  "gravit": 26150,
-  "gravitational</w>": 45268,
-  "gravity": 47426,
-  "gravity</w>": 15160,
-  "gravy</w>": 21225,
-  "gray": 12703,
-  "gray</w>": 7048,
-  "grays</w>": 46848,
-  "grayson": 45831,
-  "grayson</w>": 25471,
-  "grazi": 42427,
-  "grazie</w>": 38698,
-  "grazing</w>": 29889,
-  "grc</w>": 44069,
-  "gre": 689,
-  "gre</w>": 17878,
-  "grease</w>": 24132,
-  "greasy</w>": 44376,
-  "great": 3265,
-  "great</w>": 830,
-  "greate": 31930,
-  "greater": 32725,
-  "greater</w>": 7033,
-  "greatest": 39080,
-  "greatest</w>": 4153,
-  "greatly</w>": 13978,
-  "greatness</w>": 14189,
-  "greats</w>": 21855,
-  "greaves</w>": 42350,
-  "greco</w>": 39103,
-  "gree": 9987,
-  "gree</w>": 30774,
-  "greece</w>": 6965,
-  "greed</w>": 26147,
-  "greedy</w>": 33301,
-  "greek": 23844,
-  "greek</w>": 6842,
-  "greeks</w>": 35866,
-  "green": 2762,
-  "green</w>": 1901,
-  "greenberg</w>": 46662,
-  "greene</w>": 16383,
-  "greener</w>": 31169,
-  "greenery</w>": 42493,
-  "greenfield</w>": 39924,
-  "greeng": 42077,
-  "greenhouse</w>": 20819,
-  "greening</w>": 48673,
-  "greenland</w>": 27345,
-  "greenpeace</w>": 44755,
-  "greens</w>": 10235,
-  "greensboro</w>": 33436,
-  "greenville</w>": 25156,
-  "greenway</w>": 35205,
-  "greenwich</w>": 18658,
-  "greenwood</w>": 25782,
-  "greer</w>": 34345,
-  "greet": 11042,
-  "greet</w>": 11997,
-  "greeted</w>": 24546,
-  "greeting</w>": 17754,
-  "greetings</w>": 11569,
-  "greets</w>": 25464,
-  "greg": 6894,
-  "greg</w>": 7943,
-  "gregation</w>": 20131,
-  "gregg": 39422,
-  "gregg</w>": 22929,
-  "gregor": 33856,
-  "gregor</w>": 16177,
-  "gregory</w>": 16253,
-  "gren": 13941,
-  "gren</w>": 20119,
-  "grenade</w>": 33679,
-  "grenfell</w>": 42107,
-  "gres</w>": 39670,
-  "gress</w>": 2752,
-  "gret": 30041,
-  "greta</w>": 33443,
-  "gretchen</w>": 45516,
-  "grette</w>": 38774,
-  "grew</w>": 10451,
-  "grey": 9190,
-  "grey</w>": 5046,
-  "greyhound</w>": 27363,
-  "greyhounds</w>": 45718,
-  "greys</w>": 44311,
-  "greysanatomy</w>": 36833,
-  "gri": 2169,
-  "gri</w>": 18484,
-  "grid": 29067,
-  "grid</w>": 9882,
-  "gridi": 41063,
-  "gridiron</w>": 47786,
-  "grids</w>": 46500,
-  "grief</w>": 21058,
-  "grier</w>": 22016,
-  "griev": 36400,
-  "grieving</w>": 42383,
-  "griez": 47962,
-  "griezmann</w>": 48396,
-  "griff": 17855,
-  "griff</w>": 35551,
-  "griffi": 28676,
-  "griffin": 46612,
-  "griffin</w>": 13161,
-  "griffith</w>": 24375,
-  "griffiths</w>": 34182,
-  "gril": 49091,
-  "grill": 44083,
-  "grill</w>": 9519,
-  "grille</w>": 34748,
-  "grilled</w>": 10691,
-  "grilling</w>": 28324,
-  "grills</w>": 39464,
-  "grim": 20383,
-  "grim</w>": 23635,
-  "grime</w>": 37101,
-  "grimes</w>": 25057,
-  "grimm</w>": 27865,
-  "grims": 34861,
-  "grimsby</w>": 41513,
-  "grin": 11033,
-  "grin</w>": 28697,
-  "grinch</w>": 40527,
-  "grind": 25730,
-  "grind</w>": 11810,
-  "grinder</w>": 31733,
-  "grinding</w>": 21541,
-  "gring</w>": 40135,
-  "grip</w>": 15521,
-  "gripping</w>": 34567,
-  "grips</w>": 27819,
-  "gris</w>": 29150,
-  "grit": 22037,
-  "grit</w>": 22087,
-  "grits</w>": 44307,
-  "gritty</w>": 33704,
-  "grizz": 14877,
-  "grizz</w>": 44088,
-  "grizzlies</w>": 25594,
-  "grizzly</w>": 29676,
-  "grl</w>": 48005,
-  "gro": 1464,
-  "gro</w>": 12691,
-  "grocer": 11633,
-  "groceries</w>": 32409,
-  "grocery</w>": 13826,
-  "grom</w>": 45284,
-  "gron": 22345,
-  "groningen</w>": 45639,
-  "groo": 9015,
-  "groom": 39883,
-  "groom</w>": 22813,
-  "grooming</w>": 25575,
-  "groot</w>": 37708,
-  "groove": 39484,
-  "groove</w>": 17680,
-  "grooves</w>": 43954,
-  "groovy</w>": 30143,
-  "gros": 26834,
-  "gros</w>": 32639,
-  "gross": 31080,
-  "gross</w>": 11541,
-  "grosven": 46911,
-  "grote": 47207,
-  "grotto</w>": 45260,
-  "grou": 1582,
-  "groun": 45110,
-  "ground": 9558,
-  "ground</w>": 2461,
-  "groundbreaking</w>": 21006,
-  "grounded</w>": 27799,
-  "grounds</w>": 8454,
-  "groundwater</w>": 39457,
-  "group": 19045,
-  "group</w>": 1771,
-  "groupe</w>": 47654,
-  "groups</w>": 6776,
-  "grouse</w>": 36327,
-  "grove": 31756,
-  "grove</w>": 7463,
-  "grover</w>": 31345,
-  "groves</w>": 27306,
-  "grow": 3179,
-  "grow</w>": 4559,
-  "grower</w>": 44925,
-  "growers</w>": 25689,
-  "growing": 28429,
-  "growing</w>": 4425,
-  "growingup": 43433,
-  "growler</w>": 47096,
-  "grown": 41762,
-  "grown</w>": 7120,
-  "grows</w>": 13352,
-  "growth": 17925,
-  "growth</w>": 4026,
-  "growthhacking</w>": 25963,
-  "grp</w>": 27321,
-  "grt</w>": 28557,
-  "gru": 5957,
-  "grub</w>": 34019,
-  "grue": 42047,
-  "gruesome</w>": 47111,
-  "grum": 45454,
-  "grump": 49015,
-  "grumpy</w>": 23610,
-  "grun": 16203,
-  "grunge</w>": 33745,
-  "gry": 16140,
-  "gry</w>": 5364,
-  "gs": 25818,
-  "gs</w>": 1345,
-  "gsa</w>": 40433,
-  "gsc</w>": 47751,
-  "gshore</w>": 43392,
-  "gsm</w>": 32181,
-  "gsp</w>": 49173,
-  "gst</w>": 22239,
-  "gt": 16151,
-  "gt</w>": 4725,
-  "gta": 14826,
-  "gta</w>": 15338,
-  "gtaonline</w>": 27292,
-  "gtav</w>": 27283,
-  "gti</w>": 39954,
-  "gto</w>": 39071,
-  "gtr</w>": 33407,
-  "gts</w>": 37338,
-  "gtx</w>": 35230,
-  "gu": 700,
-  "gu</w>": 12916,
-  "gua</w>": 23751,
-  "guacam": 37477,
-  "guacamole</w>": 40115,
-  "guad": 22966,
-  "guadal": 46097,
-  "guadalu": 36994,
-  "guadalupe</w>": 38360,
-  "guam</w>": 37325,
-  "guan": 44191,
-  "guan</w>": 42406,
-  "guang": 27019,
-  "guangzhou</w>": 37857,
-  "guar": 4119,
-  "guaran": 9242,
-  "guarantee</w>": 17421,
-  "guaranteed</w>": 14731,
-  "guarantees</w>": 40154,
-  "guard": 30776,
-  "guard</w>": 4901,
-  "guarded</w>": 40602,
-  "guardi": 12008,
-  "guardia</w>": 43628,
-  "guardian": 23713,
-  "guardian</w>": 9498,
-  "guardians</w>": 21479,
-  "guarding</w>": 24966,
-  "guardiola</w>": 32100,
-  "guards</w>": 12810,
-  "guatem": 19423,
-  "guatemala</w>": 21670,
-  "guay": 48591,
-  "guay</w>": 24247,
-  "gubernat": 41400,
-  "gubernatorial</w>": 41618,
-  "gucci</w>": 16779,
-  "gud": 48061,
-  "gud</w>": 22378,
-  "gue": 2030,
-  "gue</w>": 2917,
-  "gued</w>": 38893,
-  "guel": 23146,
-  "guelph</w>": 27660,
-  "guer": 10391,
-  "guern": 29277,
-  "guernsey</w>": 33982,
-  "guerra</w>": 38215,
-  "guerrero</w>": 31967,
-  "guerrilla</w>": 36715,
-  "gues": 39971,
-  "gues</w>": 12601,
-  "guess": 35506,
-  "guess</w>": 3135,
-  "guessed</w>": 28005,
-  "guesses</w>": 30623,
-  "guessing</w>": 21891,
-  "guest": 27349,
-  "guest</w>": 3781,
-  "guests</w>": 6212,
-  "guet</w>": 36797,
-  "guetta</w>": 45904,
-  "guez</w>": 12313,
-  "gug": 31358,
-  "guggen": 35086,
-  "guggenheim</w>": 37135,
-  "gui": 2587,
-  "gui</w>": 25746,
-  "guid": 11437,
-  "guidance</w>": 12508,
-  "guide": 21845,
-  "guide</w>": 3555,
-  "guided</w>": 13194,
-  "guidelines</w>": 16591,
-  "guides</w>": 14375,
-  "guiding</w>": 22759,
-  "guido</w>": 41818,
-  "guil": 5008,
-  "guild": 19755,
-  "guild</w>": 16597,
-  "guildford</w>": 34450,
-  "guildhall</w>": 47224,
-  "guillau": 41123,
-  "guillaume</w>": 45394,
-  "guiller": 33660,
-  "guillermo</w>": 39524,
-  "guilt</w>": 26354,
-  "guilty</w>": 9761,
-  "guin": 13284,
-  "guin</w>": 47863,
-  "guine": 13759,
-  "guinea</w>": 18537,
-  "guinness</w>": 16648,
-  "guire</w>": 18209,
-  "guise</w>": 42024,
-  "guit": 3759,
-  "guitar": 21746,
-  "guitar</w>": 5084,
-  "guitarist</w>": 13035,
-  "guitars</w>": 15023,
-  "guj": 34935,
-  "gujar": 12698,
-  "gujarat</w>": 14714,
-  "guk</w>": 20280,
-  "gul": 5530,
-  "gul</w>": 21350,
-  "gula</w>": 27426,
-  "gular</w>": 34969,
-  "gulf": 22101,
-  "gulf</w>": 11279,
-  "gull": 48764,
-  "gull</w>": 28778,
-  "gulls</w>": 37501,
-  "gully</w>": 46112,
-  "gum": 22041,
-  "gum</w>": 11235,
-  "gumb": 40147,
-  "gumbo</w>": 47126,
-  "gummy</w>": 34276,
-  "gums</w>": 46609,
-  "gun": 2748,
-  "gun</w>": 3496,
-  "guna</w>": 43333,
-  "gundam</w>": 26087,
-  "gundy</w>": 21162,
-  "gunman</w>": 32743,
-  "gunmen</w>": 44738,
-  "gunn</w>": 27473,
-  "gunna</w>": 24002,
-  "gunnar</w>": 45301,
-  "gunner</w>": 35285,
-  "gunners</w>": 37788,
-  "guns</w>": 7591,
-  "gunsense</w>": 44781,
-  "gunshot</w>": 49250,
-  "gunsn": 49028,
-  "gup": 38632,
-  "gup</w>": 47335,
-  "gupta</w>": 15905,
-  "gur": 3218,
-  "gur</w>": 30224,
-  "gura</w>": 46836,
-  "gurgaon</w>": 33240,
-  "guri</w>": 43888,
-  "gurl</w>": 25445,
-  "gurmee": 35482,
-  "gurmeetramrahim</w>": 36549,
-  "guru": 18629,
-  "guru</w>": 10800,
-  "gurudev</w>": 48647,
-  "gus</w>": 8018,
-  "gust</w>": 24629,
-  "gusta": 23024,
-  "gusta</w>": 44196,
-  "gustav": 32062,
-  "gustav</w>": 37921,
-  "gustave</w>": 43170,
-  "gustavo</w>": 45943,
-  "gusto</w>": 37937,
-  "gusts</w>": 20896,
-  "gusty</w>": 27589,
-  "gut": 24780,
-  "gut</w>": 13486,
-  "guter": 44963,
-  "guterres</w>": 48738,
-  "guth": 31696,
-  "guthrie</w>": 33164,
-  "gutier": 32773,
-  "gutierrez</w>": 33739,
-  "guts</w>": 25983,
-  "gutted</w>": 26524,
-  "gutter</w>": 40537,
-  "guwa": 43063,
-  "guwahati</w>": 45045,
-  "guy": 10008,
-  "guy</w>": 2149,
-  "guyana</w>": 45215,
-  "guyen</w>": 28031,
-  "guys": 43588,
-  "guys</w>": 1791,
-  "guyz</w>": 48170,
-  "guzman</w>": 37960,
-  "gv": 15462,
-  "gv</w>": 17336,
-  "gw": 7172,
-  "gw</w>": 15717,
-  "gwen": 32165,
-  "gwen</w>": 24182,
-  "gwin": 43005,
-  "gwy": 32226,
-  "gwyne": 36923,
-  "gx</w>": 40227,
-  "gy": 2168,
-  "gy</w>": 1164,
-  "gya</w>": 43214,
-  "gyan</w>": 43814,
-  "gye": 21728,
-  "gyllen": 49348,
-  "gym": 9902,
-  "gym</w>": 5222,
-  "gymna": 13517,
-  "gymnasium</w>": 42847,
-  "gymnast</w>": 42658,
-  "gymnastics</w>": 20116,
-  "gyn</w>": 39603,
-  "gyne": 45836,
-  "gyp": 40053,
-  "gypsy</w>": 22354,
-  "gypt</w>": 41921,
-  "gz": 45937,
-  "gz</w>": 35841,
-  "gö": 40778,
-  "gü": 31907,
-  "h": 71,
-  "h</w>": 327,
-  "ha": 560,
-  "ha</w>": 1429,
-  "haa</w>": 26814,
-  "haal</w>": 35869,
-  "haan</w>": 36284,
-  "haar": 45247,
-  "haar</w>": 35859,
-  "haas</w>": 27443,
-  "haasan</w>": 26601,
-  "hab": 20573,
-  "hab</w>": 20002,
-  "haban": 46225,
-  "haber": 44737,
-  "habit": 8491,
-  "habit</w>": 17215,
-  "habitat</w>": 11747,
-  "habitats</w>": 35344,
-  "habits</w>": 14540,
-  "habs</w>": 27489,
-  "hac": 20343,
-  "hace</w>": 43623,
-  "haci": 40674,
-  "hack": 6610,
-  "hack</w>": 11182,
-  "hackathon</w>": 25182,
-  "hacked</w>": 19575,
-  "hacker</w>": 22376,
-  "hackers</w>": 21498,
-  "hacking</w>": 12939,
-  "hackney": 48811,
-  "hackney</w>": 24928,
-  "hacks</w>": 19965,
-  "had": 10660,
-  "had</w>": 1100,
-  "hadi</w>": 39058,
-  "hadid</w>": 26415,
-  "hadith</w>": 46907,
-  "hadley</w>": 44995,
-  "hadn</w>": 21480,
-  "hadoop</w>": 43868,
-  "hae": 30723,
-  "hae</w>": 27193,
-  "hafi": 39914,
-  "hag": 26855,
-  "hag</w>": 43207,
-  "hagan</w>": 47489,
-  "hagen</w>": 14664,
-  "hager": 48773,
-  "hagg": 26324,
-  "hague</w>": 28988,
-  "hah": 18108,
-  "hah</w>": 13680,
-  "haha": 1913,
-  "haha</w>": 3060,
-  "hahah": 27253,
-  "hahah</w>": 15441,
-  "hahaha</w>": 4722,
-  "hahahah": 37513,
-  "hahahah</w>": 20096,
-  "hahahaha": 8058,
-  "hahahaha</w>": 9501,
-  "hahahahah</w>": 33334,
-  "hahahahaha</w>": 16347,
-  "hahahahahaha</w>": 26487,
-  "hahahahahahaha</w>": 43653,
-  "hahahahahahahaha": 36126,
-  "hahahha</w>": 49205,
-  "hahn</w>": 35596,
-  "hai": 8734,
-  "hai</w>": 5234,
-  "haider</w>": 42200,
-  "haiku</w>": 19542,
-  "hail": 15272,
-  "hail</w>": 8634,
-  "hailed</w>": 44604,
-  "hailey</w>": 27703,
-  "hailing</w>": 47288,
-  "hails</w>": 32571,
-  "hailstate</w>": 35063,
-  "hain</w>": 23861,
-  "hair": 4658,
-  "hair</w>": 2225,
-  "haircare</w>": 43682,
-  "haircut</w>": 14711,
-  "hairdresser</w>": 47468,
-  "haired</w>": 27202,
-  "hairs</w>": 27951,
-  "hairstyle</w>": 22324,
-  "hairstyles</w>": 40627,
-  "hairy</w>": 26513,
-  "haiti</w>": 17368,
-  "haitian</w>": 37577,
-  "haj": 27885,
-  "haj</w>": 43191,
-  "haji</w>": 41889,
-  "hajj</w>": 35576,
-  "hak": 25142,
-  "hak</w>": 40671,
-  "haka</w>": 44011,
-  "hake": 41663,
-  "hal": 1296,
-  "hal</w>": 8708,
-  "hala</w>": 25918,
-  "halal</w>": 34216,
-  "halam": 29061,
-  "halamadrid</w>": 31132,
-  "halder</w>": 32201,
-  "hale": 37038,
-  "hale</w>": 14701,
-  "halen</w>": 39204,
-  "halep</w>": 49017,
-  "haley": 37330,
-  "haley</w>": 16839,
-  "half": 7453,
-  "half</w>": 2349,
-  "halftime</w>": 13742,
-  "halfway</w>": 16736,
-  "hali": 9860,
-  "hali</w>": 43030,
-  "halibut</w>": 49030,
-  "halifax</w>": 13411,
-  "hall": 6850,
-  "hall</w>": 2140,
-  "halla</w>": 29569,
-  "halle": 27763,
-  "halle</w>": 32239,
-  "hallelujah</w>": 36993,
-  "halli": 32665,
-  "hallmark": 31040,
-  "hallmark</w>": 32053,
-  "hallmarkchannel</w>": 36840,
-  "hallo": 3463,
-  "halloffame</w>": 48578,
-  "halloween": 28537,
-  "halloween</w>": 3739,
-  "halls</w>": 18052,
-  "hallucin": 35385,
-  "hallway</w>": 26845,
-  "halo": 33331,
-  "halo</w>": 11918,
-  "halsey</w>": 34256,
-  "halt</w>": 25640,
-  "halter</w>": 47194,
-  "halton</w>": 45445,
-  "ham": 1522,
-  "ham</w>": 1714,
-  "hama</w>": 17944,
-  "hamas</w>": 14818,
-  "hamburg</w>": 18409,
-  "hamburger</w>": 33928,
-  "hamid</w>": 32377,
-  "hamil": 6725,
-  "hamill": 45784,
-  "hamill</w>": 48729,
-  "hamillhimself</w>": 47324,
-  "hamilton": 22448,
-  "hamilton</w>": 7684,
-  "hamlet</w>": 27722,
-  "hamlin</w>": 49326,
-  "hamm</w>": 46110,
-  "hammer": 15331,
-  "hammer</w>": 9401,
-  "hammered</w>": 37251,
-  "hammers</w>": 35649,
-  "hammersmith</w>": 42127,
-  "hammock</w>": 33682,
-  "hammond</w>": 21761,
-  "hamont</w>": 18518,
-  "hamp": 6665,
-  "hamper</w>": 27692,
-  "hampshire</w>": 16006,
-  "hampstead</w>": 37340,
-  "hampton": 36582,
-  "hampton</w>": 12285,
-  "hamptons</w>": 42415,
-  "hamr</w>": 47979,
-  "hamradio</w>": 36712,
-  "hams</w>": 25619,
-  "hamster</w>": 33313,
-  "hamstring</w>": 39990,
-  "hamza</w>": 45762,
-  "han": 1545,
-  "han</w>": 3565,
-  "hana</w>": 16801,
-  "hand": 1722,
-  "hand</w>": 2463,
-  "handbag</w>": 22654,
-  "handbags</w>": 35667,
-  "handball</w>": 27988,
-  "handbook</w>": 25147,
-  "handcrafted</w>": 22185,
-  "handed</w>": 10881,
-  "handedly</w>": 48656,
-  "handel</w>": 40072,
-  "handful</w>": 23725,
-  "handheld</w>": 26812,
-  "handic": 17812,
-  "handicap</w>": 27063,
-  "handicapp": 42349,
-  "handing</w>": 19196,
-  "handle": 43681,
-  "handle</w>": 7245,
-  "handled</w>": 26824,
-  "handler</w>": 29097,
-  "handles</w>": 22124,
-  "handling</w>": 14071,
-  "handmade": 18054,
-  "handmade</w>": 6737,
-  "handmadehour</w>": 25724,
-  "handover</w>": 46922,
-  "hands</w>": 3500,
-  "handshake</w>": 38418,
-  "handsome</w>": 7438,
-  "handwriting</w>": 29986,
-  "handwritten</w>": 35192,
-  "handy</w>": 13479,
-  "hane</w>": 28411,
-  "hang": 3351,
-  "hang</w>": 5592,
-  "hangar</w>": 33439,
-  "hanged</w>": 40807,
-  "hanger</w>": 28905,
-  "hangin</w>": 22670,
-  "hanging</w>": 4850,
-  "hangout</w>": 17572,
-  "hangover</w>": 20755,
-  "hangs</w>": 21785,
-  "hani": 39944,
-  "hani</w>": 18374,
-  "hank": 35993,
-  "hank</w>": 17655,
-  "hanks</w>": 29943,
-  "hanley</w>": 47284,
-  "hann": 5584,
-  "hanna</w>": 10075,
-  "hannah": 18622,
-  "hannah</w>": 9142,
-  "hannel</w>": 43477,
-  "hanni": 19493,
-  "hannibal</w>": 25149,
-  "hannity</w>": 24569,
-  "hannover</w>": 39976,
-  "hanoi</w>": 36134,
-  "hanover</w>": 33246,
-  "hans": 35172,
-  "hans</w>": 16628,
-  "hansen</w>": 19729,
-  "hanson</w>": 24602,
-  "hant": 40641,
-  "hanuk": 32774,
-  "hanukkah</w>": 34247,
-  "hanuman</w>": 46975,
-  "hao</w>": 27184,
-  "hap": 44981,
-  "hap</w>": 47988,
-  "happ": 784,
-  "happen": 21486,
-  "happen</w>": 4506,
-  "happened</w>": 4402,
-  "happening</w>": 4284,
-  "happeningnow</w>": 43107,
-  "happenings</w>": 41998,
-  "happens</w>": 4988,
-  "happier</w>": 14118,
-  "happiest</w>": 13811,
-  "happily</w>": 17316,
-  "happiness</w>": 5096,
-  "happy": 2952,
-  "happy</w>": 900,
-  "happybirthday": 9651,
-  "happybirthday</w>": 12207,
-  "happydays</w>": 25106,
-  "happye": 33922,
-  "happyeaster</w>": 38745,
-  "happyfathersday</w>": 43534,
-  "happyfriday</w>": 33340,
-  "happyhalloween</w>": 28750,
-  "happyholidays</w>": 32186,
-  "happyhour</w>": 32036,
-  "happymonday</w>": 47364,
-  "happymothersday</w>": 42425,
-  "happynewyear</w>": 18655,
-  "happythanksgiving</w>": 40593,
-  "happyvalentinesday</w>": 42403,
-  "haps</w>": 9114,
-  "haq</w>": 32445,
-  "har": 915,
-  "har</w>": 5888,
-  "hara</w>": 10367,
-  "haram": 35732,
-  "haram</w>": 22950,
-  "haran</w>": 27921,
-  "harare</w>": 43562,
-  "haras": 26644,
-  "harass": 16481,
-  "harassed</w>": 43067,
-  "harassment</w>": 16641,
-  "harat</w>": 28984,
-  "harb": 5856,
-  "harbaugh</w>": 45220,
-  "harbor": 40686,
-  "harbor</w>": 10202,
-  "harbour": 35430,
-  "harbour</w>": 10011,
-  "harcourt</w>": 48093,
-  "hard": 3312,
-  "hard</w>": 1626,
-  "hardcover</w>": 31123,
-  "harden</w>": 27350,
-  "harder</w>": 12274,
-  "hardest</w>": 15258,
-  "hardin</w>": 43802,
-  "harding</w>": 24382,
-  "hardly</w>": 17363,
-  "hardro": 28126,
-  "hardrock": 48365,
-  "hardrock</w>": 40739,
-  "hards</w>": 44048,
-  "hardship</w>": 45085,
-  "hardt</w>": 17922,
-  "hardware</w>": 11957,
-  "hardwell</w>": 45572,
-  "hardwick</w>": 46864,
-  "hardwood</w>": 28167,
-  "hardwork": 42554,
-  "hardwork</w>": 27404,
-  "hardworking</w>": 28095,
-  "hardworkpaysoff</w>": 49193,
-  "hardy": 48179,
-  "hardy</w>": 14113,
-  "hare": 27903,
-  "hare</w>": 18464,
-  "harga</w>": 39738,
-  "hari": 25472,
-  "hari</w>": 8981,
-  "harlan</w>": 49133,
-  "harle": 29096,
-  "harlem</w>": 17771,
-  "harley": 24702,
-  "harley</w>": 13632,
-  "harleydavidson</w>": 39183,
-  "harlow</w>": 34113,
-  "harm": 16656,
-  "harm</w>": 14452,
-  "harman</w>": 42434,
-  "harmed</w>": 39637,
-  "harmful</w>": 21725,
-  "harmless</w>": 44369,
-  "harmon": 10828,
-  "harmon</w>": 28729,
-  "harmony</w>": 10785,
-  "harms</w>": 46703,
-  "harne": 43323,
-  "harness</w>": 23205,
-  "harold</w>": 16917,
-  "harp</w>": 27339,
-  "harper": 31288,
-  "harper</w>": 12634,
-  "harri": 6639,
-  "harrier</w>": 37372,
-  "harriet</w>": 27154,
-  "harrington</w>": 34340,
-  "harris": 25356,
-  "harris</w>": 6925,
-  "harrisburg</w>": 40590,
-  "harrison": 34389,
-  "harrison</w>": 10540,
-  "harro": 18939,
-  "harrogate</w>": 30842,
-  "harrow</w>": 38807,
-  "harry": 11094,
-  "harry</w>": 3600,
-  "harrypotter</w>": 23375,
-  "harsh": 30596,
-  "harsh</w>": 16944,
-  "hart": 9335,
-  "hart</w>": 7752,
-  "hartford</w>": 23434,
-  "harth</w>": 35619,
-  "hartle": 47482,
-  "hartley</w>": 31268,
-  "hartman</w>": 43294,
-  "haru</w>": 35099,
-  "harvard": 28118,
-  "harvard</w>": 12848,
-  "harve": 6405,
-  "harvest": 44495,
-  "harvest</w>": 8971,
-  "harvested</w>": 35899,
-  "harvesting</w>": 26674,
-  "harvey": 33289,
-  "harvey</w>": 9586,
-  "harvick</w>": 46983,
-  "haryana</w>": 27661,
-  "has": 13855,
-  "has</w>": 791,
-  "hasan</w>": 30049,
-  "hasbro</w>": 37405,
-  "hash": 6338,
-  "hash</w>": 19199,
-  "hashi</w>": 41831,
-  "hashmi</w>": 35852,
-  "hashtag": 34015,
-  "hashtag</w>": 9238,
-  "hashtags</w>": 23514,
-  "haskell</w>": 48550,
-  "hasn</w>": 9143,
-  "hass": 9298,
-  "hassan</w>": 15829,
-  "hassee</w>": 37117,
-  "hassel": 32204,
-  "hassle</w>": 35762,
-  "hast": 18146,
-  "hasta</w>": 36623,
-  "hastings</w>": 22035,
-  "hat": 3447,
-  "hat</w>": 3801,
-  "hatch": 24202,
-  "hatch</w>": 17809,
-  "hatchback</w>": 42348,
-  "hatched</w>": 42158,
-  "hate": 23546,
-  "hate</w>": 3753,
-  "hated</w>": 21298,
-  "hateful</w>": 36418,
-  "hater</w>": 36917,
-  "haters</w>": 14027,
-  "hates</w>": 14957,
-  "hatfield</w>": 38448,
-  "hath": 27894,
-  "hath</w>": 34416,
-  "hathaway</w>": 31801,
-  "hati</w>": 26045,
-  "hating</w>": 25668,
-  "hatred</w>": 19046,
-  "hats</w>": 9812,
-  "hatt": 8747,
-  "hatton</w>": 44861,
-  "hau": 5152,
-  "hauer</w>": 48751,
-  "haul": 23743,
-  "haul</w>": 12332,
-  "hauled</w>": 46620,
-  "hauling</w>": 43132,
-  "haun": 9676,
-  "haunt</w>": 31039,
-  "haunted</w>": 14944,
-  "haunting</w>": 24034,
-  "haunts</w>": 48035,
-  "haus": 41755,
-  "haus</w>": 16478,
-  "hausen</w>": 33338,
-  "hauser</w>": 46586,
-  "haute</w>": 28854,
-  "hav": 13443,
-  "hav</w>": 20447,
-  "havan</w>": 36304,
-  "havana</w>": 23357,
-  "havas": 46261,
-  "have": 18053,
-  "have</w>": 720,
-  "haven": 33074,
-  "haven</w>": 3871,
-  "havent</w>": 29130,
-  "haver": 27876,
-  "haves</w>": 49088,
-  "havin</w>": 31937,
-  "having</w>": 1977,
-  "havoc</w>": 24447,
-  "haw": 2788,
-  "haw</w>": 26954,
-  "hawa": 6067,
-  "hawa</w>": 46278,
-  "hawai": 15800,
-  "hawaii": 32413,
-  "hawaii</w>": 8265,
-  "hawaiian</w>": 17734,
-  "hawan</w>": 27765,
-  "hawk": 14704,
-  "hawk</w>": 8218,
-  "hawke</w>": 38178,
-  "hawker</w>": 39051,
-  "hawkeye</w>": 38666,
-  "hawkeyes</w>": 34266,
-  "hawking</w>": 33437,
-  "hawkins</w>": 19740,
-  "hawks": 44806,
-  "hawks</w>": 5841,
-  "hawthorn</w>": 45372,
-  "hawthorne</w>": 36730,
-  "hay": 4871,
-  "hay</w>": 11367,
-  "haya</w>": 41325,
-  "hayat</w>": 49360,
-  "hayden</w>": 19806,
-  "haydn</w>": 48207,
-  "haye": 36583,
-  "hayes</w>": 13555,
-  "hayley": 39986,
-  "hayley</w>": 22204,
-  "haynes</w>": 30496,
-  "hays</w>": 41524,
-  "hayward</w>": 29400,
-  "haz": 5040,
-  "haz</w>": 39921,
-  "hazard": 26174,
-  "hazard</w>": 15178,
-  "hazardous</w>": 27102,
-  "hazards</w>": 30639,
-  "haze</w>": 22785,
-  "hazel": 19838,
-  "hazel</w>": 21882,
-  "hazelnut</w>": 35816,
-  "hazi</w>": 22740,
-  "hazmat</w>": 48887,
-  "hazrat</w>": 45775,
-  "hazy</w>": 32655,
-  "hb": 6854,
-  "hb</w>": 12576,
-  "hbcu</w>": 40008,
-  "hbd": 25277,
-  "hbd</w>": 13594,
-  "hbo</w>": 15252,
-  "hc": 15831,
-  "hc</w>": 7821,
-  "hcs</w>": 46850,
-  "hd": 11601,
-  "hd</w>": 4414,
-  "hdd</w>": 40508,
-  "hdmi</w>": 33302,
-  "hdr</w>": 28065,
-  "he": 651,
-  "he</w>": 797,
-  "hea": 27150,
-  "hea</w>": 32790,
-  "head": 1603,
-  "head</w>": 1375,
-  "headache</w>": 23849,
-  "headaches</w>": 38025,
-  "headband</w>": 28556,
-  "headed</w>": 6153,
-  "header</w>": 11077,
-  "heading</w>": 4409,
-  "headless</w>": 45219,
-  "headlights</w>": 42422,
-  "headline</w>": 10891,
-  "headliner</w>": 38880,
-  "headlines</w>": 14706,
-  "headlining</w>": 26971,
-  "headphone</w>": 37524,
-  "headphones</w>": 14906,
-  "headquarters</w>": 13041,
-  "heads</w>": 5174,
-  "headset</w>": 23883,
-  "headshot</w>": 34890,
-  "heal": 1231,
-  "heal</w>": 13833,
-  "healed</w>": 31456,
-  "healer</w>": 38328,
-  "healey</w>": 38985,
-  "healing</w>": 9295,
-  "heals</w>": 32384,
-  "health": 2145,
-  "health</w>": 1728,
-  "healthand": 43704,
-  "healthcare": 42500,
-  "healthcare</w>": 6023,
-  "healthier</w>": 18242,
-  "healthtech</w>": 42694,
-  "healthy": 10330,
-  "healthy</w>": 3782,
-  "healthye": 31532,
-  "healthyeating</w>": 33761,
-  "healthyfood</w>": 39996,
-  "healthylifestyle</w>": 46254,
-  "healthyliving</w>": 27293,
-  "healy</w>": 34299,
-  "heap</w>": 34781,
-  "heaps</w>": 44446,
-  "hear": 2749,
-  "hear</w>": 2584,
-  "heard</w>": 4063,
-  "hearing": 46353,
-  "hearing</w>": 5541,
-  "hearings</w>": 33175,
-  "hearn</w>": 36613,
-  "hears</w>": 25395,
-  "heart": 4975,
-  "heart</w>": 1936,
-  "heartbeat</w>": 29154,
-  "heartbreak</w>": 29281,
-  "heartbreaking</w>": 21322,
-  "heartbroken</w>": 35383,
-  "hearted</w>": 21679,
-  "heartfelt</w>": 22904,
-  "hearth": 31563,
-  "hearthstone</w>": 34054,
-  "hearti": 29345,
-  "hearties</w>": 44572,
-  "heartland</w>": 31923,
-  "heartless</w>": 47022,
-  "heartnews</w>": 40426,
-  "hearts</w>": 5516,
-  "heartw": 30002,
-  "heartwarming</w>": 34080,
-  "hearty</w>": 26994,
-  "heat": 12175,
-  "heat</w>": 4403,
-  "heated</w>": 17057,
-  "heater</w>": 23246,
-  "heath": 12794,
-  "heath</w>": 11719,
-  "heather": 20230,
-  "heather</w>": 12470,
-  "heathrow</w>": 24171,
-  "heating</w>": 12478,
-  "heaton</w>": 34557,
-  "heats</w>": 36106,
-  "heatwave</w>": 25726,
-  "heav": 2409,
-  "heaven": 15520,
-  "heaven</w>": 5545,
-  "heavenly</w>": 19117,
-  "heavens</w>": 26026,
-  "heavier</w>": 31253,
-  "heaviest</w>": 33268,
-  "heavily</w>": 14123,
-  "heavy": 12048,
-  "heavy</w>": 4200,
-  "heavymetal</w>": 39804,
-  "heavyweight</w>": 17448,
-  "heb": 24700,
-  "heb</w>": 34515,
-  "hebdo</w>": 41817,
-  "hebrew</w>": 27298,
-  "hebrides</w>": 45121,
-  "hebron</w>": 45725,
-  "hec": 18932,
-  "heck": 22985,
-  "heck</w>": 14427,
-  "hectares</w>": 44162,
-  "hectic</w>": 37245,
-  "hector</w>": 25852,
-  "hed": 18271,
-  "hedge": 16229,
-  "hedge</w>": 20294,
-  "hedgehog</w>": 21940,
-  "hedges</w>": 41345,
-  "hee": 18364,
-  "hee</w>": 15773,
-  "heechul</w>": 42487,
-  "heed</w>": 15118,
-  "heel": 33646,
-  "heel</w>": 16861,
-  "heels</w>": 10909,
-  "heem</w>": 30061,
-  "heer</w>": 40473,
-  "hef": 29473,
-  "heff": 48756,
-  "hefty</w>": 48584,
-  "heg": 41995,
-  "heh</w>": 25834,
-  "hehe": 48723,
-  "hehe</w>": 10658,
-  "hehehe</w>": 24138,
-  "hei": 6101,
-  "hei</w>": 29051,
-  "heidel": 42927,
-  "heidelberg</w>": 48445,
-  "heidi": 44860,
-  "heidi</w>": 23867,
-  "heifer</w>": 48219,
-  "heigh": 43883,
-  "height</w>": 10788,
-  "heights</w>": 8418,
-  "heim": 10931,
-  "heim</w>": 9768,
-  "heimer</w>": 39517,
-  "hein": 15487,
-  "hein</w>": 43206,
-  "heine": 28742,
-  "heineken</w>": 36874,
-  "heinrich</w>": 47877,
-  "heinz</w>": 32359,
-  "heir": 27083,
-  "heir</w>": 34007,
-  "heirloom</w>": 34232,
-  "heirs</w>": 43834,
-  "heis": 21849,
-  "heisman</w>": 34537,
-  "heist</w>": 31035,
-  "heit</w>": 37255,
-  "hel": 919,
-  "hel</w>": 11579,
-  "hela</w>": 48212,
-  "held</w>": 4042,
-  "hele</w>": 46129,
-  "helen": 17576,
-  "helen</w>": 11291,
-  "helena</w>": 23109,
-  "helene</w>": 41591,
-  "helens</w>": 45940,
-  "heli": 33874,
-  "heli</w>": 40183,
-  "helicop": 10035,
-  "helicopter</w>": 11956,
-  "helicopters</w>": 26922,
-  "helium</w>": 46505,
-  "helix</w>": 35247,
-  "hell": 8410,
-  "hell</w>": 4141,
-  "hella</w>": 19800,
-  "hellboy</w>": 48428,
-  "helle": 48600,
-  "helle</w>": 46968,
-  "hellenic</w>": 42544,
-  "heller</w>": 44464,
-  "hello": 12887,
-  "hello</w>": 3306,
-  "hells</w>": 47989,
-  "helly</w>": 48690,
-  "helm": 47970,
-  "helm</w>": 19520,
-  "helmet</w>": 11122,
-  "helmets</w>": 21843,
-  "help": 8641,
-  "help</w>": 1318,
-  "helped</w>": 4845,
-  "helper</w>": 29321,
-  "helpers</w>": 36316,
-  "helpful</w>": 12695,
-  "helping</w>": 3875,
-  "helpless</w>": 47638,
-  "helpline</w>": 43101,
-  "helps</w>": 5144,
-  "helsin": 17842,
-  "helsinki</w>": 19626,
-  "hem": 20270,
-  "hem</w>": 11148,
-  "hemi": 14256,
-  "hemi</w>": 46856,
-  "heming": 30819,
-  "hemingway</w>": 33470,
-  "hemisphere</w>": 32767,
-  "hemmings</w>": 34882,
-  "hemo": 43788,
-  "hemp": 28225,
-  "hemp</w>": 18467,
-  "hems": 32451,
-  "hemsworth</w>": 39428,
-  "hen": 2385,
-  "hen</w>": 8047,
-  "hence</w>": 23640,
-  "hend": 11560,
-  "hender": 49248,
-  "henderson</w>": 14348,
-  "hendrick</w>": 45296,
-  "hendricks</w>": 37588,
-  "hendrix</w>": 23605,
-  "henge</w>": 33104,
-  "henley</w>": 27853,
-  "henna</w>": 39455,
-  "hennessy</w>": 42667,
-  "henri": 19431,
-  "henri</w>": 21610,
-  "henrik</w>": 35772,
-  "henry": 16018,
-  "henry</w>": 5508,
-  "hens</w>": 31742,
-  "henson</w>": 32935,
-  "hep": 17724,
-  "hep</w>": 48791,
-  "hepat": 23767,
-  "hepatitis</w>": 32169,
-  "hepburn</w>": 26348,
-  "her": 1223,
-  "her</w>": 899,
-  "hera</w>": 38724,
-  "heral": 37809,
-  "herald": 27625,
-  "herald</w>": 12851,
-  "herb": 26116,
-  "herb</w>": 15302,
-  "herbal</w>": 21868,
-  "herbali": 44087,
-  "herbalife</w>": 48364,
-  "herbert</w>": 19935,
-  "herbs</w>": 17320,
-  "hercules</w>": 26539,
-  "herd": 36142,
-  "herd</w>": 18589,
-  "here": 9134,
-  "here</w>": 763,
-  "hered": 47976,
-  "hereford</w>": 35543,
-  "heres</w>": 13566,
-  "hereto": 47673,
-  "heri</w>": 31392,
-  "herit": 4720,
-  "heritag": 38273,
-  "heritage": 20962,
-  "heritage</w>": 5455,
-  "herman": 31890,
-  "herman</w>": 21568,
-  "hermann</w>": 40942,
-  "hermes</w>": 34563,
-  "hermi": 35265,
-  "hermione</w>": 45502,
-  "hermit</w>": 43953,
-  "hermitage</w>": 47706,
-  "hermo": 40967,
-  "hermosa</w>": 42531,
-  "hern": 30571,
-  "hern</w>": 43576,
-  "hernandez</w>": 17707,
-  "hero": 7338,
-  "hero</w>": 3756,
-  "heroes": 38010,
-  "heroes</w>": 5506,
-  "heroic</w>": 24255,
-  "heroin</w>": 23841,
-  "heroine</w>": 27420,
-  "heron</w>": 22593,
-  "heros</w>": 37642,
-  "herr</w>": 38537,
-  "herrera</w>": 27755,
-  "herring</w>": 30211,
-  "hers</w>": 25359,
-  "herself</w>": 9207,
-  "hersh": 20379,
-  "hershey</w>": 29734,
-  "hert": 26744,
-  "hertfordshire</w>": 41070,
-  "herts</w>": 35784,
-  "herty</w>": 23454,
-  "hertz</w>": 49383,
-  "hes": 30553,
-  "hes</w>": 12784,
-  "hesit": 23933,
-  "hesitate</w>": 34967,
-  "hess</w>": 41888,
-  "hester</w>": 31105,
-  "het": 37527,
-  "het</w>": 19678,
-  "hetero": 26405,
-  "heu": 20105,
-  "heughan</w>": 32298,
-  "hew": 48141,
-  "hew</w>": 43051,
-  "hewitt</w>": 28871,
-  "hex": 16255,
-  "hex</w>": 31241,
-  "hey": 10759,
-  "hey</w>": 2189,
-  "hez": 34591,
-  "hezbollah</w>": 37636,
-  "hf": 26606,
-  "hf</w>": 20603,
-  "hfx": 47297,
-  "hg": 23986,
-  "hg</w>": 26237,
-  "hgtv</w>": 47657,
-  "hh": 3280,
-  "hh</w>": 5180,
-  "hhh</w>": 8281,
-  "hhhh": 19391,
-  "hhhh</w>": 13121,
-  "hhhhh</w>": 24246,
-  "hhhhhh</w>": 37278,
-  "hhs</w>": 27006,
-  "hi": 677,
-  "hi</w>": 1883,
-  "hia</w>": 20672,
-  "hiatus</w>": 27823,
-  "hib": 15922,
-  "hiber": 38799,
-  "hibis": 36226,
-  "hibiscus</w>": 36460,
-  "hibition</w>": 24658,
-  "hibs</w>": 42814,
-  "hic": 3549,
-  "hic</w>": 38079,
-  "hick": 14813,
-  "hickman</w>": 49148,
-  "hickory</w>": 29905,
-  "hicks</w>": 23429,
-  "hid": 15552,
-  "hid</w>": 14451,
-  "hidalgo</w>": 47464,
-  "hidden": 28305,
-  "hidden</w>": 7029,
-  "hiddleston</w>": 31444,
-  "hide": 17725,
-  "hide</w>": 9379,
-  "hideous</w>": 46588,
-  "hides</w>": 30800,
-  "hiding</w>": 11371,
-  "hie</w>": 15763,
-  "hier": 23433,
-  "hier</w>": 29913,
-  "hierarchy</w>": 44442,
-  "hifi</w>": 38168,
-  "hig": 38108,
-  "higgins</w>": 21783,
-  "high": 1487,
-  "high</w>": 1400,
-  "higher</w>": 5321,
-  "highered</w>": 27072,
-  "highest</w>": 5317,
-  "highland": 32244,
-  "highland</w>": 16062,
-  "highlander</w>": 46251,
-  "highlanders</w>": 40445,
-  "highlands</w>": 16883,
-  "highlight</w>": 8264,
-  "highlighted</w>": 22252,
-  "highlighter</w>": 45460,
-  "highlighting</w>": 17344,
-  "highlights</w>": 6173,
-  "highly</w>": 5302,
-  "highness</w>": 38694,
-  "highs</w>": 15144,
-  "highschool</w>": 23102,
-  "highway": 45344,
-  "highway</w>": 7620,
-  "highways</w>": 28007,
-  "higu": 39115,
-  "hihi</w>": 36240,
-  "hii</w>": 42315,
-  "hijab</w>": 31407,
-  "hika</w>": 41356,
-  "hikari</w>": 44624,
-  "hike</w>": 9404,
-  "hiked</w>": 36471,
-  "hiker</w>": 40947,
-  "hikers</w>": 46090,
-  "hikes</w>": 27076,
-  "hiking</w>": 9118,
-  "hiko</w>": 48708,
-  "hil": 3508,
-  "hil</w>": 17927,
-  "hila</w>": 38837,
-  "hilar": 37337,
-  "hilari": 7784,
-  "hilarious</w>": 8358,
-  "hilariously</w>": 43476,
-  "hilary": 45898,
-  "hilary</w>": 25415,
-  "hilde": 45382,
-  "hill": 3671,
-  "hill</w>": 2682,
-  "hillary": 13257,
-  "hillary</w>": 7074,
-  "hillaryclinton</w>": 15357,
-  "hilli": 32513,
-  "hills": 24178,
-  "hills</w>": 5289,
-  "hillsborough</w>": 32157,
-  "hillside</w>": 37194,
-  "hilltop</w>": 45858,
-  "hilly</w>": 32483,
-  "hilton": 33621,
-  "hilton</w>": 14012,
-  "him": 4128,
-  "him</w>": 1269,
-  "himach": 29132,
-  "himachal</w>": 35461,
-  "himalay": 17552,
-  "himalayan</w>": 30318,
-  "himalayas</w>": 32872,
-  "hime</w>": 45892,
-  "himself</w>": 4530,
-  "himss</w>": 41730,
-  "hin": 1676,
-  "hin</w>": 37930,
-  "hina</w>": 40571,
-  "hinakhan</w>": 45518,
-  "hinch": 49320,
-  "hind": 34460,
-  "hind</w>": 23293,
-  "hindi</w>": 14967,
-  "hinds</w>": 47859,
-  "hindu": 17587,
-  "hindu</w>": 12053,
-  "hinduism</w>": 40592,
-  "hindus</w>": 25701,
-  "hindustan</w>": 46553,
-  "hines</w>": 37462,
-  "hing": 37968,
-  "hini</w>": 33564,
-  "hino</w>": 45343,
-  "hint</w>": 11868,
-  "hinton</w>": 47165,
-  "hints</w>": 20594,
-  "hio</w>": 32897,
-  "hip": 11725,
-  "hip</w>": 6584,
-  "hipho": 8819,
-  "hiphop": 26598,
-  "hiphop</w>": 10914,
-  "hipp": 13607,
-  "hippie</w>": 28637,
-  "hippo": 28398,
-  "hippo</w>": 36729,
-  "hips</w>": 30191,
-  "hipstamatic</w>": 31002,
-  "hipster</w>": 19987,
-  "hipsters</w>": 48265,
-  "hir": 4959,
-  "hir</w>": 14728,
-  "hira</w>": 42577,
-  "hire": 32356,
-  "hire</w>": 8243,
-  "hired</w>": 17602,
-  "hires</w>": 24133,
-  "hiring</w>": 7835,
-  "hiro": 17396,
-  "hiro</w>": 20588,
-  "hiroshima</w>": 33867,
-  "hirsch</w>": 46967,
-  "his": 15211,
-  "his</w>": 787,
-  "hism</w>": 23502,
-  "hispan": 16843,
-  "hispanic</w>": 22676,
-  "hist": 21710,
-  "hist</w>": 13779,
-  "histo": 33479,
-  "histor": 2993,
-  "historia</w>": 46010,
-  "historian</w>": 20697,
-  "historians</w>": 35200,
-  "historic": 30195,
-  "historic</w>": 5726,
-  "historical": 34154,
-  "historical</w>": 8039,
-  "historically</w>": 30445,
-  "histories</w>": 34736,
-  "history": 11142,
-  "history</w>": 1695,
-  "historymonth</w>": 19356,
-  "historyof": 35905,
-  "hit": 5453,
-  "hit</w>": 2341,
-  "hitch": 22937,
-  "hitch</w>": 36203,
-  "hitler</w>": 16518,
-  "hitman</w>": 33290,
-  "hits</w>": 4712,
-  "hitter</w>": 23538,
-  "hitters</w>": 39724,
-  "hitting</w>": 7957,
-  "hiv": 44410,
-  "hiv</w>": 11018,
-  "hive": 38162,
-  "hive</w>": 18521,
-  "hiya</w>": 42393,
-  "hk": 22648,
-  "hk</w>": 12307,
-  "hl": 8297,
-  "hl</w>": 5956,
-  "hle</w>": 32389,
-  "hler</w>": 35418,
-  "hm": 17913,
-  "hm</w>": 7631,
-  "hmm</w>": 13725,
-  "hmmm</w>": 17032,
-  "hmmmm</w>": 34598,
-  "hms</w>": 14625,
-  "hmu</w>": 21630,
-  "hmv</w>": 49288,
-  "hn": 22905,
-  "hn</w>": 7478,
-  "hns</w>": 48412,
-  "ho": 606,
-  "ho</w>": 2971,
-  "hoa</w>": 37517,
-  "hoar": 31628,
-  "hoax</w>": 33438,
-  "hob": 18212,
-  "hobart</w>": 31646,
-  "hobb": 16175,
-  "hobbies</w>": 36370,
-  "hobbit</w>": 23207,
-  "hobbs</w>": 34343,
-  "hobby": 41120,
-  "hobby</w>": 17557,
-  "hobo": 34613,
-  "hobo</w>": 41334,
-  "hoboken</w>": 41568,
-  "hoc</w>": 35880,
-  "hoch": 43772,
-  "hock": 34914,
-  "hock</w>": 46574,
-  "hockey": 16499,
-  "hockey</w>": 4111,
-  "hoco</w>": 34771,
-  "hod": 31062,
-  "hodg": 23660,
-  "hodge</w>": 40585,
-  "hodges</w>": 35061,
-  "hodgson</w>": 37044,
-  "hoe": 32502,
-  "hoe</w>": 11262,
-  "hoek</w>": 40073,
-  "hoes</w>": 21164,
-  "hof": 20186,
-  "hof</w>": 12789,
-  "hofer</w>": 38654,
-  "hoff": 32860,
-  "hoff</w>": 22751,
-  "hofficial</w>": 41949,
-  "hoffman</w>": 22026,
-  "hog": 12075,
-  "hog</w>": 13255,
-  "hogan</w>": 19757,
-  "hogg</w>": 42005,
-  "hogs</w>": 23242,
-  "hogwarts</w>": 29168,
-  "hoh</w>": 43947,
-  "hoi": 39295,
-  "hok": 26942,
-  "hok</w>": 47167,
-  "hokies</w>": 35168,
-  "hokkaido</w>": 49145,
-  "hol": 1187,
-  "hol</w>": 7349,
-  "hola</w>": 28724,
-  "hold": 36496,
-  "hold</w>": 3254,
-  "holden</w>": 21869,
-  "holder</w>": 7862,
-  "holders</w>": 10074,
-  "holding</w>": 5050,
-  "holdings</w>": 24832,
-  "holds</w>": 7286,
-  "hole": 47242,
-  "hole</w>": 5341,
-  "holes</w>": 11266,
-  "holi": 2093,
-  "holi</w>": 21926,
-  "holic</w>": 16348,
-  "holics</w>": 29782,
-  "holiday": 13168,
-  "holiday</w>": 2878,
-  "holidays</w>": 5372,
-  "holiness</w>": 37259,
-  "holistic</w>": 26300,
-  "holl": 27699,
-  "holla</w>": 26500,
-  "holland": 31608,
-  "holland</w>": 9978,
-  "hollande</w>": 47690,
-  "holler</w>": 49047,
-  "holli": 24019,
-  "holliday</w>": 41624,
-  "hollow": 41221,
-  "hollow</w>": 16691,
-  "holloway</w>": 29435,
-  "holly": 12731,
-  "holly</w>": 11923,
-  "hollyo": 41525,
-  "hollyoaks</w>": 43352,
-  "hollywood": 24655,
-  "hollywood</w>": 5518,
-  "holm": 34758,
-  "holm</w>": 12739,
-  "holme</w>": 46149,
-  "holmes</w>": 12756,
-  "holo": 10317,
-  "holocau": 14688,
-  "holocaust</w>": 16476,
-  "hols</w>": 33344,
-  "holt</w>": 18868,
-  "holtz</w>": 44743,
-  "holy": 13910,
-  "holy</w>": 4874,
-  "hom": 906,
-  "hom</w>": 47397,
-  "homa</w>": 9557,
-  "homage</w>": 17746,
-  "home": 2143,
-  "home</w>": 1137,
-  "homebrew</w>": 35046,
-  "homec": 33869,
-  "homecoming</w>": 9008,
-  "homedecor</w>": 15695,
-  "homedepot</w>": 38707,
-  "homegrown</w>": 32554,
-  "homeitems</w>": 42972,
-  "homeland</w>": 21633,
-  "homeless": 18403,
-  "homeless</w>": 9661,
-  "homelessness</w>": 19851,
-  "homemade</w>": 7889,
-  "homeof": 48856,
-  "homeowner</w>": 37267,
-  "homeowners</w>": 29882,
-  "homepage</w>": 29828,
-  "homer": 29307,
-  "homer</w>": 16931,
-  "homers</w>": 38333,
-  "homes": 19480,
-  "homes</w>": 5416,
-  "homeschool</w>": 40994,
-  "homestead</w>": 32609,
-  "homeswee": 46298,
-  "hometown</w>": 12238,
-  "homework</w>": 12495,
-  "homicide</w>": 21520,
-  "homie</w>": 12540,
-  "homies</w>": 18893,
-  "homme</w>": 26193,
-  "homo": 18129,
-  "homo</w>": 30504,
-  "homophobia</w>": 37875,
-  "homophobic</w>": 40975,
-  "homosexual</w>": 44288,
-  "homosexuality</w>": 46720,
-  "homs</w>": 45413,
-  "hon": 1279,
-  "hon</w>": 10296,
-  "honda</w>": 8553,
-  "honduras</w>": 29715,
-  "hone</w>": 38640,
-  "honest": 7814,
-  "honest</w>": 9602,
-  "honestly</w>": 9155,
-  "honesty</w>": 24939,
-  "honey": 9843,
-  "honey</w>": 6406,
-  "honeycomb</w>": 48583,
-  "honeymoon</w>": 22527,
-  "hong": 12144,
-  "hong</w>": 8598,
-  "hongkong</w>": 16659,
-  "honi</w>": 17918,
-  "honolulu</w>": 28096,
-  "honor": 9206,
-  "honor</w>": 3402,
-  "honorable</w>": 19498,
-  "honorary</w>": 15675,
-  "honore": 25868,
-  "honored</w>": 5494,
-  "honoree</w>": 38993,
-  "honorees</w>": 43012,
-  "honoring</w>": 10771,
-  "honors</w>": 10248,
-  "honour</w>": 8240,
-  "honourable</w>": 29855,
-  "honoured</w>": 11945,
-  "honouring</w>": 37754,
-  "honours</w>": 22558,
-  "hoo": 2300,
-  "hoo</w>": 7920,
-  "hood": 18681,
-  "hood</w>": 3222,
-  "hooded</w>": 33631,
-  "hoodie</w>": 13444,
-  "hoodies</w>": 25974,
-  "hoods</w>": 16664,
-  "hoof</w>": 44555,
-  "hook": 30488,
-  "hook</w>": 10395,
-  "hookah</w>": 34214,
-  "hooked</w>": 18138,
-  "hookem</w>": 31465,
-  "hooker</w>": 37891,
-  "hooking</w>": 35240,
-  "hooks</w>": 25068,
-  "hooligans</w>": 48176,
-  "hoon</w>": 21368,
-  "hooo</w>": 44538,
-  "hoop": 31516,
-  "hoop</w>": 19573,
-  "hooper</w>": 35221,
-  "hoops</w>": 9351,
-  "hoor": 22155,
-  "hooray</w>": 24940,
-  "hoos</w>": 46462,
-  "hoosier</w>": 48886,
-  "hoosiers</w>": 42780,
-  "hoot</w>": 29164,
-  "hoover</w>": 25691,
-  "hop": 10848,
-  "hop</w>": 5833,
-  "hope": 5263,
-  "hope</w>": 1683,
-  "hoped</w>": 30628,
-  "hopeful</w>": 21453,
-  "hopefully</w>": 7602,
-  "hopeless</w>": 35586,
-  "hopes</w>": 10018,
-  "hoping</w>": 7207,
-  "hopkins</w>": 17821,
-  "hopp": 48839,
-  "hopped</w>": 34220,
-  "hopper</w>": 21748,
-  "hopping</w>": 27606,
-  "hoppy</w>": 38359,
-  "hops</w>": 21137,
-  "hor": 1407,
-  "hor</w>": 33847,
-  "hora</w>": 26013,
-  "horace</w>": 39282,
-  "horan</w>": 26857,
-  "horde</w>": 44947,
-  "hore</w>": 15380,
-  "horiz": 8144,
-  "horizon": 17924,
-  "horizon</w>": 11920,
-  "horizons</w>": 29685,
-  "horizontal</w>": 25775,
-  "hormon": 27096,
-  "hormone</w>": 31283,
-  "hormones</w>": 35162,
-  "horn": 15771,
-  "horn</w>": 9607,
-  "horne</w>": 38143,
-  "horned</w>": 34526,
-  "hornet</w>": 28739,
-  "hornets</w>": 20124,
-  "horns</w>": 22109,
-  "horny</w>": 32622,
-  "horo": 21500,
-  "horoscope</w>": 38453,
-  "horowitz</w>": 44669,
-  "horri": 8656,
-  "horrible</w>": 13726,
-  "horribly</w>": 45484,
-  "horrific</w>": 25314,
-  "horrifying</w>": 38901,
-  "horror": 13787,
-  "horror</w>": 5032,
-  "horrormovies</w>": 46682,
-  "horrors</w>": 33321,
-  "horse": 8562,
-  "horse</w>": 4558,
-  "horseback</w>": 43673,
-  "horseman</w>": 48885,
-  "horsepower</w>": 36882,
-  "horser": 23096,
-  "horseracing</w>": 30693,
-  "horses</w>": 8809,
-  "horseshoe</w>": 29242,
-  "horst</w>": 37182,
-  "hort</w>": 19482,
-  "horticul": 27141,
-  "horticulture</w>": 39998,
-  "horton</w>": 25945,
-  "hortons</w>": 38422,
-  "horus</w>": 29794,
-  "hos": 44320,
-  "hos</w>": 25008,
-  "hosa</w>": 44618,
-  "hose</w>": 19662,
-  "hoseok</w>": 38817,
-  "hosp": 2847,
-  "hosp</w>": 37853,
-  "hospice</w>": 20533,
-  "hospit": 7180,
-  "hospital": 29399,
-  "hospital</w>": 3851,
-  "hospitality</w>": 11657,
-  "hospitalized</w>": 36915,
-  "hospitals</w>": 13816,
-  "host": 17403,
-  "host</w>": 3953,
-  "hostage</w>": 26119,
-  "hoste": 31700,
-  "hosted</w>": 6017,
-  "hostel</w>": 27225,
-  "hostess</w>": 39692,
-  "hostile</w>": 28074,
-  "hosting</w>": 4857,
-  "hosts</w>": 8718,
-  "hot": 2851,
-  "hot</w>": 2069,
-  "hota</w>": 43289,
-  "hotdog</w>": 43758,
-  "hotel": 14591,
-  "hotel</w>": 2738,
-  "hotels</w>": 8654,
-  "hotline</w>": 30516,
-  "hotmail</w>": 46427,
-  "hotness</w>": 39803,
-  "hotra</w>": 27109,
-  "hotro": 47823,
-  "hotspot</w>": 36606,
-  "hotspur</w>": 35176,
-  "hotter</w>": 23591,
-  "hottest</w>": 8279,
-  "hottie</w>": 22804,
-  "hotties</w>": 46027,
-  "hou": 1011,
-  "hou</w>": 10122,
-  "hough</w>": 44529,
-  "houghton</w>": 36133,
-  "houn": 39273,
-  "houn</w>": 33607,
-  "hound": 33996,
-  "hound</w>": 13561,
-  "hounds</w>": 21178,
-  "hounews</w>": 48373,
-  "hour": 14930,
-  "hour</w>": 2232,
-  "hourly</w>": 30918,
-  "hours</w>": 2382,
-  "house": 4107,
-  "house</w>": 1212,
-  "housed</w>": 37518,
-  "household</w>": 12412,
-  "households</w>": 27167,
-  "housel": 48685,
-  "housemusic</w>": 28468,
-  "houseof": 19928,
-  "houses</w>": 7791,
-  "housewives</w>": 38523,
-  "housing": 32924,
-  "housing</w>": 5734,
-  "houston": 16564,
-  "houston</w>": 5663,
-  "hov</w>": 40291,
-  "hove</w>": 29674,
-  "hoven</w>": 35559,
-  "hover": 36252,
-  "hover</w>": 49016,
-  "hovering</w>": 43437,
-  "how": 7470,
-  "how</w>": 829,
-  "howar": 37672,
-  "howard": 25447,
-  "howard</w>": 7632,
-  "howdy</w>": 42216,
-  "howe": 8179,
-  "howe</w>": 24614,
-  "howell</w>": 25297,
-  "hower</w>": 32920,
-  "however</w>": 8467,
-  "howi": 47883,
-  "howie</w>": 42939,
-  "howl</w>": 40332,
-  "howling</w>": 41771,
-  "howto": 38191,
-  "howto</w>": 44060,
-  "hoy": 39625,
-  "hoy</w>": 13278,
-  "hoya</w>": 40978,
-  "hp": 23753,
-  "hp</w>": 6371,
-  "hpa</w>": 30983,
-  "hpc</w>": 39936,
-  "hpe</w>": 33787,
-  "hpv</w>": 45765,
-  "hq": 33571,
-  "hq</w>": 4693,
-  "hr": 4810,
-  "hr</w>": 4086,
-  "hra": 21320,
-  "hra</w>": 17212,
-  "hrc</w>": 18139,
-  "hrh</w>": 29103,
-  "hri": 21068,
-  "hrithik</w>": 45371,
-  "hrs</w>": 7157,
-  "hru</w>": 24127,
-  "hrw</w>": 25064,
-  "hs": 9343,
-  "hs</w>": 2466,
-  "hsbc</w>": 31508,
-  "hsc</w>": 43510,
-  "hse</w>": 34057,
-  "hsfb</w>": 29539,
-  "hsv</w>": 47311,
-  "ht": 11123,
-  "ht</w>": 7801,
-  "hta": 23452,
-  "hta</w>": 49384,
-  "htafc</w>": 42821,
-  "htc": 48942,
-  "htc</w>": 17635,
-  "html</w>": 18231,
-  "hts</w>": 43710,
-  "htt": 10620,
-  "http</w>": 15066,
-  "https</w>": 30901,
-  "httr</w>": 49372,
-  "httweets</w>": 43198,
-  "hu": 845,
-  "hu</w>": 5949,
-  "hua</w>": 22138,
-  "huan</w>": 41405,
-  "huang</w>": 32013,
-  "huar": 46916,
-  "huawe": 17709,
-  "huawei</w>": 21128,
-  "hub": 18775,
-  "hub</w>": 7028,
-  "hubb": 23183,
-  "hubbard</w>": 33288,
-  "hubble</w>": 30421,
-  "hubby</w>": 16947,
-  "hubert</w>": 40699,
-  "hubs</w>": 29327,
-  "huck": 22909,
-  "huckabee</w>": 43666,
-  "hud": 7169,
-  "hud</w>": 28563,
-  "hudder": 22629,
-  "huddersfield</w>": 24220,
-  "huddle</w>": 33435,
-  "hudson": 25873,
-  "hudson</w>": 11260,
-  "hue": 48380,
-  "hue</w>": 21465,
-  "hues</w>": 38003,
-  "huey</w>": 39663,
-  "huff": 18746,
-  "huff</w>": 44999,
-  "huffpost": 45887,
-  "hug": 40790,
-  "hug</w>": 10359,
-  "huge</w>": 2699,
-  "hugely</w>": 24648,
-  "hugged</w>": 41333,
-  "hugging</w>": 27058,
-  "hugh": 8723,
-  "hugh</w>": 15385,
-  "hughes</w>": 11418,
-  "hugo": 43935,
-  "hugo</w>": 17132,
-  "hugs</w>": 14248,
-  "huh</w>": 13348,
-  "huhu</w>": 32134,
-  "hui</w>": 29978,
-  "hul": 7911,
-  "hula</w>": 40145,
-  "hulk</w>": 17637,
-  "hull": 25154,
-  "hull</w>": 10375,
-  "hulu</w>": 24666,
-  "hum": 5823,
-  "hum</w>": 16283,
-  "human": 3175,
-  "human</w>": 2751,
-  "humane</w>": 20220,
-  "humanitarian</w>": 14170,
-  "humanities</w>": 24949,
-  "humanity</w>": 9420,
-  "humanright": 44385,
-  "humanrights</w>": 14148,
-  "humans</w>": 8324,
-  "humb": 9988,
-  "humber": 30602,
-  "humber</w>": 38063,
-  "humble": 38703,
-  "humble</w>": 10889,
-  "humbled</w>": 19682,
-  "humbling</w>": 39757,
-  "humbold": 24739,
-  "humboldt</w>": 31389,
-  "hume</w>": 38197,
-  "humid": 14778,
-  "humid</w>": 27447,
-  "humidi": 47666,
-  "humidity</w>": 15469,
-  "humil": 27205,
-  "humili": 25332,
-  "humility</w>": 28535,
-  "humming": 26515,
-  "hummingbird</w>": 33072,
-  "hummus</w>": 31785,
-  "humor": 29369,
-  "humor</w>": 11186,
-  "humorous</w>": 38173,
-  "humour</w>": 19161,
-  "hump": 16673,
-  "hump</w>": 24529,
-  "humpback</w>": 47662,
-  "humpday</w>": 27693,
-  "humph": 19767,
-  "humphrey</w>": 31549,
-  "hun": 1616,
-  "hun</w>": 10795,
-  "hundre": 8505,
-  "hundred</w>": 11898,
-  "hundreds</w>": 8879,
-  "hung</w>": 13825,
-  "hungar": 19420,
-  "hungarian</w>": 23325,
-  "hungary</w>": 17232,
-  "hunger": 25565,
-  "hunger</w>": 10184,
-  "hungergames</w>": 47507,
-  "hungover</w>": 41110,
-  "hungry": 44845,
-  "hungry</w>": 8451,
-  "hunk</w>": 33912,
-  "hunt": 16498,
-  "hunt</w>": 5774,
-  "hunted</w>": 37373,
-  "hunter": 16531,
-  "hunter</w>": 6099,
-  "hunters</w>": 16115,
-  "hunting": 27830,
-  "hunting</w>": 7507,
-  "huntington</w>": 23521,
-  "hunts</w>": 34041,
-  "huntsville</w>": 34544,
-  "hur": 2305,
-  "hur</w>": 34523,
-  "hurd</w>": 44915,
-  "hurdle</w>": 27486,
-  "hurdles</w>": 25440,
-  "huri</w>": 42486,
-  "hurley</w>": 30166,
-  "hurling</w>": 24738,
-  "huron</w>": 36147,
-  "hurrah</w>": 40599,
-  "hurric": 6543,
-  "hurrican": 36105,
-  "hurricane": 24051,
-  "hurricane</w>": 8782,
-  "hurricanes</w>": 22357,
-  "hurry</w>": 10921,
-  "hurst": 44742,
-  "hurst</w>": 11760,
-  "hurt</w>": 7413,
-  "hurting</w>": 24017,
-  "hurts</w>": 13059,
-  "hus": 5111,
-  "hus</w>": 35853,
-  "husband</w>": 6179,
-  "husbands</w>": 33612,
-  "hush</w>": 28728,
-  "husk": 19246,
-  "huskers</w>": 26946,
-  "huskies</w>": 20988,
-  "husky</w>": 20421,
-  "huss": 13733,
-  "hussain</w>": 17940,
-  "hussein</w>": 31336,
-  "hust": 27279,
-  "hustle</w>": 15709,
-  "huston</w>": 46480,
-  "hut": 20924,
-  "hut</w>": 16503,
-  "hutch": 31018,
-  "hutch</w>": 33203,
-  "hutchinson</w>": 35721,
-  "hutto": 27662,
-  "hutton</w>": 38321,
-  "hv": 17209,
-  "hv</w>": 18593,
-  "hvac</w>": 27492,
-  "hw": 27491,
-  "hw</w>": 18876,
-  "hwa</w>": 32352,
-  "hwan</w>": 44390,
-  "hwang</w>": 46775,
-  "hwy</w>": 13812,
-  "hy": 1441,
-  "hy</w>": 17827,
-  "hya</w>": 31600,
-  "hyacin": 47263,
-  "hyatt": 44856,
-  "hyatt</w>": 25146,
-  "hybri": 9084,
-  "hybrid</w>": 10156,
-  "hyd</w>": 42382,
-  "hyde": 46484,
-  "hyde</w>": 16343,
-  "hyder": 13960,
-  "hyderabad</w>": 14801,
-  "hydr": 8031,
-  "hydra": 44414,
-  "hydra</w>": 40420,
-  "hydrange": 43298,
-  "hydrate</w>": 29628,
-  "hydrated</w>": 23300,
-  "hydrating</w>": 47653,
-  "hydration</w>": 24174,
-  "hydrau": 26017,
-  "hydraulic</w>": 26189,
-  "hydro": 8368,
-  "hydro</w>": 22595,
-  "hydrogen</w>": 20974,
-  "hye": 32724,
-  "hye</w>": 25792,
-  "hygi": 16277,
-  "hygiene</w>": 19591,
-  "hymn</w>": 41350,
-  "hyo": 38960,
-  "hyo</w>": 35078,
-  "hyp": 16964,
-  "hype": 30353,
-  "hype</w>": 11111,
-  "hyped</w>": 22507,
-  "hyper": 7997,
-  "hyper</w>": 22146,
-  "hypertension</w>": 40698,
-  "hypno": 23355,
-  "hypnosis</w>": 48138,
-  "hypnoti": 40440,
-  "hypo": 10252,
-  "hypocr": 30711,
-  "hypocri": 25606,
-  "hypocrisy</w>": 26296,
-  "hypocrite</w>": 44125,
-  "hypothe": 46966,
-  "hypothesis</w>": 44956,
-  "hyster": 24235,
-  "hysteria</w>": 45965,
-  "hysterical</w>": 48627,
-  "hyuk</w>": 20452,
-  "hyun": 11831,
-  "hyun</w>": 8589,
-  "hyundai</w>": 17094,
-  "hyung": 46901,
-  "hyung</w>": 16551,
-  "hz</w>": 32533,
-  "i": 72,
-  "i</w>": 328,
-  "ia": 12486,
-  "ia</w>": 1073,
-  "iac": 32838,
-  "iac</w>": 44063,
-  "iaf</w>": 40789,
-  "iah</w>": 35052,
-  "iain</w>": 30103,
-  "ial": 11530,
-  "ial</w>": 1974,
-  "ials</w>": 20940,
-  "iam": 3579,
-  "iam</w>": 11415,
-  "iambic": 43668,
-  "iambicpent</w>": 43891,
-  "iamsrk</w>": 15103,
-  "ian": 7723,
-  "ian</w>": 1800,
-  "ians</w>": 6451,
-  "iansomerhalder</w>": 47077,
-  "iart": 18413,
-  "iartg</w>": 18669,
-  "ias": 32303,
-  "ias</w>": 14620,
-  "ib": 3962,
-  "ib</w>": 13554,
-  "iba</w>": 39763,
-  "ibadan</w>": 44691,
-  "iban": 47145,
-  "ibc</w>": 49014,
-  "ibd</w>": 40732,
-  "iber": 23814,
-  "ibi": 12337,
-  "ibis</w>": 47048,
-  "ibiza</w>": 13853,
-  "ible</w>": 37792,
-  "ibles</w>": 44102,
-  "ibm": 23415,
-  "ibm</w>": 13918,
-  "ibn</w>": 25729,
-  "ibooks</w>": 46887,
-  "ibra": 15476,
-  "ibrahi": 40350,
-  "ibrahim</w>": 20816,
-  "ibrox</w>": 46883,
-  "ibs</w>": 41993,
-  "ibu": 43587,
-  "ibu</w>": 46117,
-  "ic": 535,
-  "ic</w>": 1029,
-  "ica</w>": 2576,
-  "icago</w>": 37492,
-  "ical": 6082,
-  "ical</w>": 1110,
-  "ically</w>": 3161,
-  "icals</w>": 13999,
-  "ican": 17653,
-  "ican</w>": 5246,
-  "icans</w>": 20511,
-  "icar": 37211,
-  "ication</w>": 21629,
-  "icc</w>": 12945,
-  "ice": 2739,
-  "ice</w>": 733,
-  "iceberg</w>": 33662,
-  "icec": 13636,
-  "icecream</w>": 21334,
-  "iced</w>": 8049,
-  "icelan": 34114,
-  "iceland": 46716,
-  "iceland</w>": 11935,
-  "icelandic</w>": 34705,
-  "ices</w>": 1931,
-  "ich": 5333,
-  "ich</w>": 1232,
-  "icha": 31453,
-  "iche": 28972,
-  "iche</w>": 21143,
-  "ichi": 21669,
-  "ichi</w>": 14647,
-  "ichick</w>": 45022,
-  "ichiro</w>": 43787,
-  "ici": 948,
-  "ici</w>": 22189,
-  "icia</w>": 11774,
-  "icial": 17543,
-  "icial</w>": 6397,
-  "ician": 40522,
-  "ician</w>": 5374,
-  "icians</w>": 6264,
-  "iciary</w>": 21329,
-  "icic": 46006,
-  "icide</w>": 6558,
-  "icides</w>": 28253,
-  "icing</w>": 7676,
-  "icio</w>": 24207,
-  "icion": 45905,
-  "icious</w>": 3325,
-  "icist</w>": 21165,
-  "icists</w>": 42171,
-  "icity</w>": 7243,
-  "ick": 1168,
-  "ick</w>": 1068,
-  "icked</w>": 39799,
-  "icker</w>": 40357,
-  "ickers</w>": 30701,
-  "icki</w>": 35468,
-  "icking</w>": 6619,
-  "icks</w>": 3727,
-  "icky</w>": 11587,
-  "icn</w>": 44516,
-  "ico": 13697,
-  "ico</w>": 3040,
-  "icom": 17693,
-  "icom</w>": 29796,
-  "icon": 13843,
-  "icon</w>": 5646,
-  "iconic</w>": 6959,
-  "icons</w>": 15553,
-  "icop": 9389,
-  "icos</w>": 32002,
-  "ics</w>": 1324,
-  "ict</w>": 6349,
-  "icted</w>": 36515,
-  "iction</w>": 40560,
-  "icton</w>": 36548,
-  "icu": 45118,
-  "icu</w>": 30443,
-  "icular</w>": 40660,
-  "icus</w>": 31459,
-  "icy": 28780,
-  "icy</w>": 3495,
-  "icymi</w>": 5315,
-  "icz</w>": 46387,
-  "id": 1568,
-  "id</w>": 1014,
-  "ida": 11032,
-  "ida</w>": 11600,
-  "idad</w>": 22462,
-  "idaho": 48817,
-  "idaho</w>": 15165,
-  "idal</w>": 39684,
-  "idan</w>": 17929,
-  "idc</w>": 22386,
-  "ide": 1909,
-  "ide</w>": 14104,
-  "idea</w>": 3612,
-  "ideal</w>": 8789,
-  "ideally</w>": 48247,
-  "ideals</w>": 45096,
-  "ideas</w>": 4452,
-  "ident": 7113,
-  "identi": 6009,
-  "identical</w>": 25587,
-  "identification</w>": 23337,
-  "identified</w>": 15217,
-  "identifies</w>": 35712,
-  "identify</w>": 10949,
-  "identifying</w>": 23589,
-  "identities</w>": 34292,
-  "identity</w>": 8892,
-  "ideology</w>": 25840,
-  "iders</w>": 8980,
-  "ides</w>": 31791,
-  "idf</w>": 28987,
-  "idge</w>": 35567,
-  "idh</w>": 44325,
-  "idi": 9611,
-  "idi</w>": 14264,
-  "idio": 15994,
-  "idiot</w>": 14087,
-  "idiots</w>": 20856,
-  "idk</w>": 8972,
-  "idle</w>": 34754,
-  "idlib</w>": 36199,
-  "ido": 6763,
-  "ido</w>": 29641,
-  "idol": 24866,
-  "idol</w>": 8884,
-  "idols</w>": 21398,
-  "idr</w>": 10106,
-  "idri": 46435,
-  "idris</w>": 41312,
-  "ids</w>": 6111,
-  "idu</w>": 28655,
-  "idy": 33058,
-  "idyl": 44879,
-  "idyllic</w>": 46632,
-  "ie": 6789,
-  "ie</w>": 1718,
-  "iec</w>": 44773,
-  "ied</w>": 10059,
-  "ieee</w>": 39860,
-  "iel": 27875,
-  "iel</w>": 22729,
-  "ience</w>": 1542,
-  "ient</w>": 13115,
-  "ier": 33173,
-  "ier</w>": 5912,
-  "iers</w>": 45060,
-  "ies": 27912,
-  "ies</w>": 963,
-  "iest</w>": 10818,
-  "if": 8063,
-  "if</w>": 878,
-  "ifa</w>": 37574,
-  "ifc</w>": 36524,
-  "ife": 41172,
-  "ife</w>": 19590,
-  "iff": 35753,
-  "ification</w>": 35755,
-  "ified</w>": 41403,
-  "ift": 31143,
-  "iftar</w>": 35153,
-  "ifu</w>": 41523,
-  "ify</w>": 32807,
-  "ig": 1089,
-  "ig</w>": 3072,
-  "iga</w>": 16493,
-  "igan</w>": 27468,
-  "igans</w>": 25419,
-  "igbo</w>": 44591,
-  "ige</w>": 10806,
-  "igen</w>": 33070,
-  "iger": 30758,
-  "iger</w>": 20685,
-  "igers": 40755,
-  "igers</w>": 48928,
-  "iggy": 46219,
-  "iggy</w>": 27604,
-  "igh": 2712,
-  "igh</w>": 5451,
-  "ight": 14571,
-  "ight</w>": 897,
-  "ighton</w>": 35292,
-  "igi</w>": 21901,
-  "igle": 29912,
-  "iglesias</w>": 39432,
-  "ign": 7303,
-  "ign</w>": 2326,
-  "ignati": 37573,
-  "ignatius</w>": 48318,
-  "igne</w>": 45843,
-  "ignite</w>": 25210,
-  "ignition</w>": 36115,
-  "igno": 15375,
-  "ignor": 7653,
-  "ignorance</w>": 22735,
-  "ignorant</w>": 26933,
-  "ignore</w>": 12304,
-  "ignored</w>": 20428,
-  "ignores</w>": 40129,
-  "ignoring</w>": 23969,
-  "igor</w>": 33024,
-  "igs</w>": 31344,
-  "igu": 21279,
-  "ih": 12162,
-  "ih</w>": 34135,
-  "ihear": 13043,
-  "iheart": 30332,
-  "iheartawards</w>": 18811,
-  "iheartradio</w>": 25934,
-  "ihop</w>": 45511,
-  "ihri": 39108,
-  "ihrithik</w>": 39326,
-  "ii": 5103,
-  "ii</w>": 2329,
-  "iii": 46236,
-  "iii</w>": 6572,
-  "iiii": 20133,
-  "iiii</w>": 45393,
-  "iiot</w>": 30704,
-  "iit": 39330,
-  "iit</w>": 33238,
-  "ij": 7337,
-  "ija</w>": 42802,
-  "ik": 3903,
-  "ik</w>": 10177,
-  "ika</w>": 18188,
-  "ike": 12329,
-  "ike</w>": 19696,
-  "ikea</w>": 20528,
-  "iker</w>": 38653,
-  "ikh": 44655,
-  "ikh</w>": 12758,
-  "iklan": 32028,
-  "iklan</w>": 29584,
-  "iko": 35659,
-  "iko</w>": 39272,
-  "ikon": 38543,
-  "ikon</w>": 19156,
-  "iku</w>": 17780,
-  "il": 543,
-  "il</w>": 958,
-  "ila</w>": 4344,
-  "ilah</w>": 32211,
-  "ilan": 13889,
-  "ilan</w>": 28076,
-  "iland</w>": 20957,
-  "ilation</w>": 16180,
-  "ilay": 45093,
-  "ild": 22278,
-  "ild</w>": 17164,
-  "ile": 18398,
-  "ile</w>": 989,
-  "iled</w>": 3358,
-  "iler": 22446,
-  "iler</w>": 3615,
-  "ilers</w>": 8975,
-  "iles</w>": 42274,
-  "ili": 2076,
-  "ili</w>": 19601,
-  "ilia</w>": 14855,
-  "ilian</w>": 10272,
-  "iliary</w>": 32585,
-  "ilife</w>": 42835,
-  "ilike": 44989,
-  "ilinan</w>": 48497,
-  "iling</w>": 3299,
-  "ilio</w>": 47256,
-  "ilion</w>": 12561,
-  "ilis</w>": 43442,
-  "ilit": 11178,
-  "ilities</w>": 5446,
-  "ility</w>": 1787,
-  "ilive</w>": 26478,
-  "ill": 828,
-  "ill</w>": 660,
-  "illa": 8877,
-  "illa</w>": 3043,
-  "illac</w>": 17218,
-  "illage</w>": 48922,
-  "illard</w>": 21920,
-  "illary</w>": 33667,
-  "illas</w>": 23404,
-  "ille": 18213,
-  "ille</w>": 5559,
-  "illed</w>": 2527,
-  "illeg": 35808,
-  "illegal</w>": 7983,
-  "illegally</w>": 24466,
-  "illegals</w>": 40490,
-  "iller": 23341,
-  "iller</w>": 2956,
-  "illers</w>": 30547,
-  "illery</w>": 14514,
-  "illes</w>": 20037,
-  "illi": 1086,
-  "illi</w>": 25187,
-  "illia</w>": 48776,
-  "illiams</w>": 30301,
-  "illian": 48775,
-  "illian</w>": 17355,
-  "illic": 37152,
-  "illicit</w>": 40998,
-  "illie</w>": 26083,
-  "illin</w>": 35868,
-  "illing</w>": 2803,
-  "illini</w>": 28957,
-  "illino": 8920,
-  "illinois</w>": 9414,
-  "illion": 35542,
-  "illion</w>": 2035,
-  "illness</w>": 11145,
-  "illnesses</w>": 33861,
-  "illo": 34153,
-  "illo</w>": 7588,
-  "illon</w>": 20516,
-  "ills</w>": 1900,
-  "illu": 3025,
-  "illumin": 11446,
-  "illuminate</w>": 43261,
-  "illuminated</w>": 28814,
-  "illuminati</w>": 34551,
-  "illuminating</w>": 46601,
-  "illumination</w>": 43680,
-  "illus</w>": 41386,
-  "illusion</w>": 20318,
-  "illusions</w>": 47429,
-  "illustr": 6268,
-  "illustrate</w>": 37468,
-  "illustrated</w>": 13151,
-  "illustrates</w>": 38129,
-  "illustrating</w>": 43322,
-  "illustration</w>": 6052,
-  "illustrations</w>": 17852,
-  "illustrator</w>": 16649,
-  "illustri": 43116,
-  "illustrious</w>": 44304,
-  "illy": 11707,
-  "illy</w>": 9532,
-  "ilm</w>": 36326,
-  "ilo": 4220,
-  "ilo</w>": 14835,
-  "ilove": 7183,
-  "ilove</w>": 32914,
-  "iloveart</w>": 41114,
-  "ilovemy": 28863,
-  "iloveyou</w>": 28829,
-  "ils</w>": 1543,
-  "ilt</w>": 25334,
-  "ilton</w>": 28494,
-  "ilu": 27337,
-  "ilwx</w>": 43777,
-  "ily": 4881,
-  "ily</w>": 1026,
-  "ilya</w>": 33377,
-  "ilysm</w>": 29228,
-  "im": 732,
-  "im</w>": 1496,
-  "ima": 2414,
-  "ima</w>": 6432,
-  "imac</w>": 40675,
-  "imacele": 47281,
-  "imag": 2316,
-  "image": 24101,
-  "image</w>": 2867,
-  "imagery</w>": 22828,
-  "images</w>": 4952,
-  "imagin": 18178,
-  "imaginary</w>": 30417,
-  "imagination</w>": 13783,
-  "imaginative</w>": 47233,
-  "imagine": 35752,
-  "imagine</w>": 4826,
-  "imagined</w>": 18478,
-  "imagines</w>": 47379,
-  "imaging</w>": 14231,
-  "imagining</w>": 27384,
-  "imam": 37552,
-  "imam</w>": 19024,
-  "iman": 45684,
-  "iman</w>": 16247,
-  "imation</w>": 44566,
-  "imax</w>": 32066,
-  "imc</w>": 45616,
-  "imdanielpadilla</w>": 36357,
-  "imdb</w>": 30407,
-  "ime": 44937,
-  "ime</w>": 31151,
-  "imel": 31594,
-  "iment</w>": 37157,
-  "imer</w>": 21802,
-  "imes</w>": 47744,
-  "imf</w>": 28403,
-  "img</w>": 24157,
-  "imi</w>": 23559,
-  "imin": 23942,
-  "imit": 23462,
-  "imitation</w>": 41630,
-  "imma</w>": 19487,
-  "immac": 25085,
-  "immaculate</w>": 29649,
-  "immature</w>": 45531,
-  "immedi": 7366,
-  "immediate</w>": 14440,
-  "immediately</w>": 10108,
-  "immen": 17278,
-  "immense</w>": 22722,
-  "immensely</w>": 35013,
-  "immer": 13954,
-  "immerse</w>": 46240,
-  "immersion</w>": 31861,
-  "immersive</w>": 27521,
-  "immigr": 5851,
-  "immigrant</w>": 16474,
-  "immigrants</w>": 14460,
-  "immigration</w>": 9588,
-  "imminent</w>": 27299,
-  "immort": 39244,
-  "immortal</w>": 24717,
-  "immun": 8961,
-  "immune</w>": 15606,
-  "immuni": 44571,
-  "immunity</w>": 26254,
-  "immuno": 24361,
-  "immunology</w>": 44483,
-  "immunotherapy</w>": 39185,
-  "imo": 26349,
-  "imo</w>": 13738,
-  "imp": 3335,
-  "imp</w>": 31037,
-  "impac": 7573,
-  "impact": 33036,
-  "impact</w>": 3844,
-  "impacted</w>": 21424,
-  "impactful</w>": 41631,
-  "impacting</w>": 29359,
-  "impacts</w>": 15069,
-  "impair": 36451,
-  "impaired</w>": 28028,
-  "impairment</w>": 44501,
-  "impala</w>": 36641,
-  "impe": 23612,
-  "impeach": 16874,
-  "impeach</w>": 43497,
-  "impeachment</w>": 32979,
-  "impeachtrump</w>": 38006,
-  "impecc": 34511,
-  "impeccable</w>": 40111,
-  "impending</w>": 34486,
-  "imper": 7727,
-  "imperative</w>": 39833,
-  "imperfect</w>": 46034,
-  "imperi": 30911,
-  "imperial": 32425,
-  "imperial</w>": 12361,
-  "imperialism</w>": 48855,
-  "imperson": 25551,
-  "implant</w>": 33106,
-  "implants</w>": 32202,
-  "imple": 7423,
-  "implement</w>": 17966,
-  "implementation</w>": 15102,
-  "implemented</w>": 24315,
-  "implementing</w>": 22862,
-  "implic": 15269,
-  "implications</w>": 19229,
-  "implo": 40337,
-  "impo": 45704,
-  "import": 2336,
-  "import</w>": 16294,
-  "importance</w>": 6821,
-  "important</w>": 2829,
-  "importantly</w>": 21580,
-  "imported</w>": 28798,
-  "imports</w>": 25286,
-  "impose</w>": 35879,
-  "imposed</w>": 25871,
-  "imposing</w>": 42289,
-  "impossible</w>": 9815,
-  "impre": 3763,
-  "impress</w>": 20015,
-  "impressed</w>": 9689,
-  "impression</w>": 14468,
-  "impressionism</w>": 36114,
-  "impressionist</w>": 44904,
-  "impressions</w>": 22276,
-  "impressive</w>": 6634,
-  "imprint</w>": 43863,
-  "imprison": 22141,
-  "imprisoned</w>": 32999,
-  "imprisonment</w>": 39024,
-  "impro": 2531,
-  "impromp": 28100,
-  "impromptu</w>": 28611,
-  "improv</w>": 22868,
-  "improve</w>": 4971,
-  "improved</w>": 9446,
-  "improvement</w>": 10790,
-  "improvements</w>": 16320,
-  "improves</w>": 18035,
-  "improving</w>": 10381,
-  "improvis": 32343,
-  "improvised</w>": 40886,
-  "impulse</w>": 29683,
-  "impy</w>": 42690,
-  "imran": 19647,
-  "imran</w>": 19212,
-  "imrankhan": 25956,
-  "imrankhanpti</w>": 26688,
-  "ims</w>": 17800,
-  "imsa</w>": 37262,
-  "imv": 35731,
-  "imvkohli</w>": 37136,
-  "imwith": 26822,
-  "imwithher</w>": 32651,
-  "in": 512,
-  "in</w>": 530,
-  "ina": 18026,
-  "ina</w>": 1366,
-  "inability</w>": 47517,
-  "inaccurate</w>": 49192,
-  "inaction</w>": 41916,
-  "inactive</w>": 49274,
-  "inadequate</w>": 43403,
-  "inak": 46549,
-  "inal</w>": 19178,
-  "inals</w>": 26438,
-  "inan</w>": 26204,
-  "inappropriate</w>": 26722,
-  "inari</w>": 48620,
-  "inary</w>": 11337,
-  "inas": 36731,
-  "inas</w>": 12362,
-  "inated</w>": 38530,
-  "ination</w>": 4706,
-  "inau": 10832,
-  "inaugu": 11309,
-  "inaugur": 11448,
-  "inaugural</w>": 11340,
-  "inaugurated</w>": 29011,
-  "inauguration</w>": 16805,
-  "inbound</w>": 24420,
-  "inbox</w>": 18683,
-  "inc": 14570,
-  "inc</w>": 4438,
-  "incan": 45964,
-  "incar": 18070,
-  "incarcer": 26334,
-  "incarcerated</w>": 49178,
-  "incarceration</w>": 39887,
-  "incase</w>": 30463,
-  "ince</w>": 44303,
-  "incen": 13259,
-  "incense</w>": 35059,
-  "incentive</w>": 29024,
-  "incentives</w>": 29813,
-  "inception</w>": 36653,
-  "inch</w>": 6523,
-  "incheon</w>": 30645,
-  "inches</w>": 10809,
-  "inci": 5747,
-  "incidence</w>": 43371,
-  "incident</w>": 10103,
-  "incidents</w>": 22120,
-  "incindia</w>": 26161,
-  "inciner": 46434,
-  "incl": 27857,
-  "incl</w>": 13338,
-  "inclined</w>": 45470,
-  "inclu": 1738,
-  "include</w>": 5942,
-  "included</w>": 7414,
-  "includes</w>": 6197,
-  "including</w>": 2814,
-  "inclusion</w>": 12079,
-  "inclusive</w>": 13393,
-  "income</w>": 8044,
-  "incoming</w>": 15416,
-  "incomparable</w>": 36027,
-  "incompetent</w>": 45069,
-  "incomplete</w>": 34040,
-  "incon": 42372,
-  "inconvenience</w>": 40563,
-  "incorpor": 19335,
-  "incorporate</w>": 34168,
-  "incorporated</w>": 29494,
-  "incorporating</w>": 40303,
-  "incorrect</w>": 31872,
-  "incre": 1870,
-  "increase</w>": 5230,
-  "increased</w>": 9156,
-  "increases</w>": 13797,
-  "increasing</w>": 10270,
-  "increasingly</w>": 16106,
-  "incredi": 2883,
-  "incredible": 22128,
-  "incredible</w>": 3457,
-  "incredibleindia</w>": 24680,
-  "incredibles</w>": 48641,
-  "incredibly</w>": 9513,
-  "incu": 38830,
-  "incub": 24587,
-  "incubator</w>": 35736,
-  "incumb": 32246,
-  "incumbent</w>": 38038,
-  "incur": 42356,
-  "ind": 5386,
-  "ind</w>": 4655,
-  "inda</w>": 15710,
-  "inde": 2645,
-  "indeed</w>": 10031,
-  "indefin": 29501,
-  "indefinitely</w>": 43750,
-  "independ": 4147,
-  "independence": 23117,
-  "independence</w>": 7955,
-  "independenceday</w>": 25971,
-  "independent": 33844,
-  "independent</w>": 7088,
-  "independently</w>": 39831,
-  "inder</w>": 29225,
-  "index": 35209,
-  "index</w>": 9458,
-  "indhoven</w>": 44229,
-  "indi": 1098,
-  "indi</w>": 46536,
-  "india": 27067,
-  "india</w>": 1762,
-  "indian": 7685,
-  "indian</w>": 3606,
-  "indiana</w>": 8615,
-  "indianapolis</w>": 17196,
-  "indianfootball</w>": 45979,
-  "indians</w>": 10271,
-  "indic": 7136,
-  "indicate</w>": 26679,
-  "indicated</w>": 39416,
-  "indicates</w>": 29412,
-  "indication</w>": 38539,
-  "indicator</w>": 24776,
-  "indicators</w>": 30054,
-  "indicted</w>": 34992,
-  "indictment</w>": 42278,
-  "indie": 5260,
-  "indie</w>": 9383,
-  "indiedev</w>": 10863,
-  "indiefilm</w>": 22588,
-  "indiegame</w>": 17969,
-  "indiegamedev</w>": 40466,
-  "indiegames</w>": 35864,
-  "indiegogo</w>": 38057,
-  "indies</w>": 23618,
-  "indiffe": 41372,
-  "indigen": 8348,
-  "indigenous</w>": 9303,
-  "indigo</w>": 21002,
-  "indira</w>": 43887,
-  "indirec": 26398,
-  "indirect</w>": 35416,
-  "indivi": 5649,
-  "individu": 9574,
-  "individual</w>": 8512,
-  "individually</w>": 33782,
-  "individuals</w>": 11990,
-  "indo": 26303,
-  "indo</w>": 18297,
-  "indom": 42926,
-  "indone": 6180,
-  "indonesia</w>": 7229,
-  "indonesian</w>": 19593,
-  "indoor": 44478,
-  "indoor</w>": 9546,
-  "indoors</w>": 22973,
-  "indore</w>": 46143,
-  "indu": 2298,
-  "induc": 7973,
-  "induced</w>": 24103,
-  "inducted</w>": 20596,
-  "inductee</w>": 39558,
-  "inductees</w>": 44796,
-  "induction</w>": 18338,
-  "indul": 19402,
-  "indulg": 28388,
-  "indulge</w>": 24851,
-  "indulgence</w>": 40856,
-  "indulgent</w>": 49147,
-  "industri": 5082,
-  "industrial": 30853,
-  "industrial</w>": 7520,
-  "industries</w>": 11700,
-  "industry": 47407,
-  "industry</w>": 3318,
-  "indv": 16942,
-  "indy": 9821,
-  "indy</w>": 10098,
-  "indycar</w>": 20484,
-  "indyref</w>": 22569,
-  "ine": 855,
-  "ine</w>": 715,
-  "ineau</w>": 38122,
-  "inec</w>": 45214,
-  "ined</w>": 2038,
-  "inee": 43252,
-  "inee</w>": 7986,
-  "inees</w>": 13056,
-  "ineffe": 47202,
-  "inely</w>": 18234,
-  "inem</w>": 48876,
-  "inema</w>": 29232,
-  "inen</w>": 44365,
-  "inequalities</w>": 45507,
-  "inequality</w>": 17372,
-  "iner": 17438,
-  "iner</w>": 5155,
-  "iners</w>": 41863,
-  "ines</w>": 2137,
-  "inese</w>": 35966,
-  "iness</w>": 1463,
-  "inet</w>": 8121,
-  "inette</w>": 38911,
-  "inev": 19527,
-  "inevit": 45871,
-  "inevitable</w>": 25004,
-  "inews</w>": 24300,
-  "inexpensive</w>": 38614,
-  "iney</w>": 30254,
-  "inez</w>": 12700,
-  "inf": 1529,
-  "inf</w>": 35241,
-  "infamous</w>": 18688,
-  "infan": 17219,
-  "infant</w>": 19192,
-  "infantry</w>": 21655,
-  "infants</w>": 34726,
-  "infe": 7164,
-  "infec": 26088,
-  "infected</w>": 26136,
-  "infection</w>": 14774,
-  "infections</w>": 22227,
-  "infectious</w>": 29157,
-  "infeld</w>": 25035,
-  "infer": 16258,
-  "inferno</w>": 31290,
-  "infertility</w>": 40701,
-  "infield</w>": 48933,
-  "infiltr": 28683,
-  "infin": 6246,
-  "infinite</w>": 12748,
-  "infiniti</w>": 34644,
-  "infinity": 34863,
-  "infinity</w>": 12895,
-  "infl": 7627,
-  "inflam": 16080,
-  "inflammation</w>": 24893,
-  "inflammatory</w>": 26831,
-  "inflatable</w>": 30135,
-  "inflation</w>": 17497,
-  "inflicted</w>": 48188,
-  "influ": 4835,
-  "influen": 13229,
-  "influence</w>": 9199,
-  "influenced</w>": 21183,
-  "influencer</w>": 25013,
-  "influencers</w>": 29891,
-  "influences</w>": 24926,
-  "influencing</w>": 45126,
-  "influential</w>": 17553,
-  "influenza</w>": 39897,
-  "info": 5680,
-  "info</w>": 2222,
-  "infographic</w>": 10076,
-  "infographics</w>": 33172,
-  "infor": 31773,
-  "inform": 10241,
-  "inform</w>": 19449,
-  "informal</w>": 25705,
-  "informat": 29625,
-  "informatics</w>": 35685,
-  "information</w>": 3204,
-  "informative</w>": 19364,
-  "informed</w>": 13876,
-  "informing</w>": 45388,
-  "informs</w>": 48440,
-  "infosec</w>": 17863,
-  "infr": 29718,
-  "infra": 7312,
-  "infra</w>": 45877,
-  "infrared</w>": 22867,
-  "infrastructure</w>": 9034,
-  "infringe": 44882,
-  "infringement</w>": 48712,
-  "infront</w>": 37668,
-  "infu": 15048,
-  "infuri": 48461,
-  "infused</w>": 21461,
-  "infusion</w>": 43464,
-  "ing": 653,
-  "ing</w>": 519,
-  "inga</w>": 15233,
-  "ingco</w>": 40444,
-  "ingday</w>": 16561,
-  "ingdon</w>": 38731,
-  "inge": 11790,
-  "inge</w>": 7071,
-  "inged</w>": 30046,
-  "ingen</w>": 19088,
-  "ingeni": 36884,
-  "inger": 33883,
-  "inger</w>": 3541,
-  "ingfor": 33430,
-  "ingh": 9170,
-  "ingh</w>": 30495,
-  "ingham": 24497,
-  "ingham</w>": 4291,
-  "inghamshire</w>": 39289,
-  "inghour</w>": 42728,
-  "inging</w>": 4066,
-  "ingl": 45662,
-  "ingle": 22228,
-  "ingle</w>": 17005,
-  "ingles</w>": 24490,
-  "ingley</w>": 44428,
-  "inglis</w>": 46327,
-  "ingly</w>": 4796,
-  "ingnow</w>": 34766,
-  "ingo": 30175,
-  "ingo</w>": 9012,
-  "ingra": 45165,
-  "ingrad</w>": 44124,
-  "ingram</w>": 26998,
-  "ingredi": 9272,
-  "ingredient</w>": 19799,
-  "ingredients</w>": 11788,
-  "ingrid</w>": 33496,
-  "ings</w>": 895,
-  "ingthe": 20170,
-  "ingtips</w>": 39373,
-  "ington": 11846,
-  "ington</w>": 2156,
-  "ingu": 8714,
-  "ingual</w>": 22795,
-  "ingue</w>": 36838,
-  "ingui": 12788,
-  "inguish</w>": 36146,
-  "inha</w>": 32612,
-  "inhabit": 36189,
-  "inhabitants</w>": 44968,
-  "inhal": 30786,
-  "inhe": 32617,
-  "inher": 24611,
-  "inherent</w>": 47327,
-  "inherit": 34322,
-  "inheritance</w>": 39341,
-  "inherited</w>": 39111,
-  "inhi": 25557,
-  "inhibit": 32196,
-  "inho</w>": 12984,
-  "ini": 6154,
-  "ini</w>": 3581,
-  "inian</w>": 36638,
-  "inim": 38717,
-  "inindia</w>": 34021,
-  "ining</w>": 1389,
-  "inist</w>": 30976,
-  "init</w>": 42670,
-  "initi": 4580,
-  "initial</w>": 13980,
-  "initially</w>": 28123,
-  "initials</w>": 48794,
-  "initiated</w>": 27756,
-  "initiation</w>": 41009,
-  "initiative</w>": 8152,
-  "initiatives</w>": 16549,
-  "inity</w>": 22126,
-  "inj": 5112,
-  "injec": 13688,
-  "injection</w>": 21438,
-  "inju": 5006,
-  "injured</w>": 7505,
-  "injuries</w>": 9481,
-  "injury</w>": 6223,
-  "injustice</w>": 20541,
-  "ink": 4547,
-  "ink</w>": 967,
-  "inka</w>": 40685,
-  "inked</w>": 29356,
-  "inki": 46176,
-  "inkigayo</w>": 47882,
-  "inking</w>": 37586,
-  "inks</w>": 20966,
-  "inktober</w>": 9387,
-  "inland</w>": 21943,
-  "inlet</w>": 35161,
-  "inline</w>": 45004,
-  "inlove</w>": 28415,
-  "inmate</w>": 32341,
-  "inmates</w>": 28216,
-  "inmy": 42657,
-  "inn": 27260,
-  "inn</w>": 5569,
-  "inna</w>": 35088,
-  "inner": 24512,
-  "inner</w>": 6955,
-  "inning</w>": 4415,
-  "innings</w>": 11580,
-  "innis": 44059,
-  "inno": 7961,
-  "innocence</w>": 26383,
-  "innocent</w>": 11241,
-  "innov": 2890,
-  "innovate</w>": 24549,
-  "innovation": 33063,
-  "innovation</w>": 4272,
-  "innovations</w>": 18817,
-  "innovative</w>": 8494,
-  "innovator</w>": 34735,
-  "innovators</w>": 27834,
-  "ino": 4211,
-  "ino</w>": 2691,
-  "inoa</w>": 25649,
-  "inos</w>": 21828,
-  "inous</w>": 47801,
-  "inox</w>": 22698,
-  "input</w>": 16952,
-  "inputs</w>": 48763,
-  "inqu": 10628,
-  "inqui": 18527,
-  "inquirer</w>": 45172,
-  "inquiries</w>": 29469,
-  "inquiry</w>": 15865,
-  "inquis": 31171,
-  "inr</w>": 36325,
-  "ins": 12786,
-  "ins</w>": 1041,
-  "insan": 7875,
-  "insane</w>": 10260,
-  "insanely</w>": 27846,
-  "insanity</w>": 26645,
-  "inscribed</w>": 49168,
-  "inscription</w>": 41127,
-  "insec": 15744,
-  "insect</w>": 21297,
-  "insects</w>": 18714,
-  "insecure</w>": 35112,
-  "insecurity</w>": 36964,
-  "inser": 13830,
-  "insert</w>": 18807,
-  "insi": 3453,
-  "inside": 19141,
-  "inside</w>": 2912,
-  "insider</w>": 13300,
-  "insiders</w>": 32171,
-  "insig": 40503,
-  "insight</w>": 8795,
-  "insightful</w>": 20354,
-  "insights</w>": 8729,
-  "insignia</w>": 48864,
-  "insist</w>": 35504,
-  "insisted</w>": 40423,
-  "insists</w>": 27255,
-  "inski</w>": 32630,
-  "insky</w>": 24607,
-  "insol": 42366,
-  "insom": 21755,
-  "insomni": 42040,
-  "insomnia</w>": 30598,
-  "inson</w>": 21007,
-  "insp": 1597,
-  "inspec": 7915,
-  "inspect</w>": 40815,
-  "inspecting</w>": 40565,
-  "inspection</w>": 15142,
-  "inspections</w>": 39513,
-  "inspector</w>": 20514,
-  "inspir": 2573,
-  "inspiration</w>": 4195,
-  "inspirational": 41936,
-  "inspirational</w>": 9855,
-  "inspirations</w>": 35093,
-  "inspire": 27901,
-  "inspire</w>": 8583,
-  "inspired": 39849,
-  "inspired</w>": 3516,
-  "inspires</w>": 17245,
-  "inspiring": 41847,
-  "inspiring</w>": 5705,
-  "inspo</w>": 26897,
-  "inst": 1264,
-  "inst</w>": 1581,
-  "insta": 22411,
-  "insta</w>": 11694,
-  "instability</w>": 41377,
-  "instac": 46678,
-  "instaf": 33800,
-  "instag": 14612,
-  "instagood</w>": 23718,
-  "instagram": 27910,
-  "instagram</w>": 2659,
-  "instal": 38805,
-  "install": 6940,
-  "install</w>": 11168,
-  "installation</w>": 9358,
-  "installations</w>": 27909,
-  "installed</w>": 8807,
-  "installing</w>": 18301,
-  "installment</w>": 25315,
-  "installs</w>": 45568,
-  "instalment</w>": 47766,
-  "instance</w>": 34572,
-  "instant": 38810,
-  "instant</w>": 10635,
-  "instantly</w>": 17703,
-  "instap": 23758,
-  "instapic</w>": 34378,
-  "instaweather": 43078,
-  "instaweatherpro</w>": 43150,
-  "inste": 3571,
-  "instead</w>": 4191,
-  "instein</w>": 13421,
-  "instem</w>": 27030,
-  "instin": 23382,
-  "instinct</w>": 30544,
-  "institu": 4257,
-  "institute</w>": 5861,
-  "institutes</w>": 43674,
-  "institution</w>": 18823,
-  "institutional</w>": 27442,
-  "institutions</w>": 15207,
-  "instore</w>": 41679,
-  "instru": 4544,
-  "instruc": 19648,
-  "instruction</w>": 19407,
-  "instructional</w>": 31022,
-  "instructions</w>": 17040,
-  "instructor</w>": 16087,
-  "instructors</w>": 31998,
-  "instrument": 42196,
-  "instrument</w>": 15806,
-  "instrumental</w>": 23041,
-  "instruments</w>": 14793,
-  "instyle</w>": 41321,
-  "insu": 8805,
-  "insul": 9615,
-  "insulated</w>": 42051,
-  "insulation</w>": 28194,
-  "insulin</w>": 29311,
-  "insult</w>": 26673,
-  "insulting</w>": 39646,
-  "insults</w>": 40451,
-  "insur": 5024,
-  "insurance</w>": 5870,
-  "insured</w>": 31321,
-  "insurers</w>": 43142,
-  "insurtech</w>": 28716,
-  "int": 1828,
-  "int</w>": 1207,
-  "inta</w>": 38314,
-  "intact</w>": 26870,
-  "intake</w>": 19539,
-  "intan": 47695,
-  "inte": 1598,
-  "inte</w>": 41900,
-  "intech</w>": 26504,
-  "inted</w>": 6147,
-  "integr": 5151,
-  "integral</w>": 27018,
-  "integrate</w>": 25735,
-  "integrated</w>": 12797,
-  "integrating</w>": 31555,
-  "integration</w>": 12583,
-  "integrity</w>": 14791,
-  "intel": 11778,
-  "intel</w>": 11426,
-  "intellec": 13281,
-  "intellect</w>": 47828,
-  "intellectu": 31966,
-  "intellectual</w>": 18069,
-  "intelli": 5324,
-  "intellig": 5632,
-  "intelligence</w>": 6846,
-  "intelligent</w>": 14063,
-  "inten": 2967,
-  "intend</w>": 36674,
-  "intended</w>": 16812,
-  "intense</w>": 10258,
-  "intensi": 22928,
-  "intensity</w>": 19956,
-  "intensive</w>": 21049,
-  "intent</w>": 18881,
-  "intention</w>": 26786,
-  "intentional</w>": 29536,
-  "intentionally</w>": 31215,
-  "intentions</w>": 26710,
-  "inter": 1006,
-  "inter</w>": 10093,
-  "interact</w>": 21736,
-  "interacting</w>": 35045,
-  "interaction</w>": 17650,
-  "interactions</w>": 22162,
-  "interactive</w>": 9456,
-  "intercep": 23676,
-  "interception</w>": 48762,
-  "interceptions</w>": 45313,
-  "interchange</w>": 34222,
-  "intercontinental</w>": 31983,
-  "interdisciplinary</w>": 38132,
-  "intere": 2008,
-  "interest</w>": 5095,
-  "interested</w>": 4620,
-  "interesting</w>": 3628,
-  "interests</w>": 16425,
-  "interface</w>": 18753,
-  "interfaith</w>": 38399,
-  "interference</w>": 29099,
-  "interim</w>": 19509,
-  "interior": 10700,
-  "interior</w>": 7305,
-  "interiordesign</w>": 12902,
-  "interiors</w>": 14836,
-  "intermedi": 20246,
-  "intermediate</w>": 24304,
-  "intermission</w>": 44805,
-  "intermitt": 44946,
-  "intern": 9976,
-  "intern</w>": 14068,
-  "internal</w>": 11285,
-  "internally</w>": 41134,
-  "internation": 42534,
-  "international": 8566,
-  "international</w>": 2436,
-  "internationaldayof": 41518,
-  "internationally</w>": 24059,
-  "internationalwomensday</w>": 17682,
-  "interne": 32713,
-  "internet": 30180,
-  "internet</w>": 4757,
-  "internetof": 44449,
-  "internetofthings</w>": 45925,
-  "interns</w>": 19902,
-  "internship</w>": 16661,
-  "internships</w>": 39410,
-  "interoper": 45754,
-  "interpre": 11162,
-  "interpret": 49154,
-  "interpret</w>": 40459,
-  "interpretation</w>": 20652,
-  "interpreted</w>": 42157,
-  "interpreting</w>": 46525,
-  "interro": 29548,
-  "interrup": 21609,
-  "interrupt</w>": 48449,
-  "interrupted</w>": 30288,
-  "intersec": 45246,
-  "intersection</w>": 19210,
-  "interstate</w>": 21963,
-  "interstellar</w>": 41506,
-  "interval</w>": 36032,
-  "intervals</w>": 44884,
-  "interven": 18245,
-  "intervention</w>": 16804,
-  "interventions</w>": 28848,
-  "interview</w>": 2885,
-  "interviewed</w>": 11688,
-  "interviewing</w>": 16399,
-  "interviews</w>": 9910,
-  "intestin": 37938,
-  "intestinal</w>": 38896,
-  "inthe": 7486,
-  "inti": 14459,
-  "intim": 38832,
-  "intimacy</w>": 46430,
-  "intimate</w>": 16382,
-  "intimid": 24041,
-  "intimidating</w>": 44405,
-  "intimidation</w>": 49258,
-  "inting</w>": 15571,
-  "intl": 38186,
-  "intl</w>": 14224,
-  "intment</w>": 9020,
-  "intments</w>": 21420,
-  "into": 35235,
-  "into</w>": 1095,
-  "intoler": 28534,
-  "intolerance</w>": 37808,
-  "intothe": 38511,
-  "intra": 20922,
-  "intrac": 46195,
-  "intram": 40956,
-  "intre": 29397,
-  "intrepid</w>": 39127,
-  "intri": 15421,
-  "intric": 23763,
-  "intricate</w>": 29616,
-  "intrigu": 18856,
-  "intrigue</w>": 45140,
-  "intrigued</w>": 40034,
-  "intriguing</w>": 24334,
-  "intrin": 45181,
-  "intro": 2999,
-  "intro</w>": 13224,
-  "introduc": 3621,
-  "introduce</w>": 9813,
-  "introduced</w>": 10446,
-  "introduces</w>": 12933,
-  "introducing</w>": 6256,
-  "introduction</w>": 11812,
-  "introductory</w>": 38121,
-  "intru": 22949,
-  "ints</w>": 2514,
-  "intu": 17225,
-  "intuition</w>": 40897,
-  "intuitive</w>": 35224,
-  "inu": 21131,
-  "inuit</w>": 41250,
-  "inus</w>": 45857,
-  "inv": 2279,
-  "inv</w>": 43786,
-  "inva": 10084,
-  "invade</w>": 34609,
-  "invaded</w>": 32596,
-  "invaders</w>": 35188,
-  "invading</w>": 40101,
-  "invali": 31592,
-  "invalid</w>": 46998,
-  "invaluable</w>": 33976,
-  "invasi": 38100,
-  "invasion</w>": 13378,
-  "invasive</w>": 19554,
-  "inve": 2024,
-  "inven": 26233,
-  "invent": 11665,
-  "invent</w>": 23558,
-  "invented</w>": 14100,
-  "invention</w>": 23607,
-  "inventions</w>": 44914,
-  "inventor</w>": 22836,
-  "inventory</w>": 19444,
-  "inver": 12061,
-  "inverness</w>": 33080,
-  "inverte": 46397,
-  "inverted</w>": 40709,
-  "invest": 4180,
-  "invest</w>": 9716,
-  "invested</w>": 22536,
-  "investig": 4626,
-  "investigate</w>": 15703,
-  "investigated</w>": 29180,
-  "investigates</w>": 29621,
-  "investigating</w>": 13713,
-  "investigation</w>": 8194,
-  "investigations</w>": 24020,
-  "investigative</w>": 30233,
-  "investigator</w>": 30528,
-  "investigators</w>": 24121,
-  "investin": 40195,
-  "investing</w>": 10554,
-  "investment</w>": 5605,
-  "investments</w>": 14675,
-  "investor</w>": 15490,
-  "investors</w>": 10486,
-  "invests</w>": 38378,
-  "invic": 25253,
-  "invigor": 48722,
-  "invin": 30252,
-  "invincible</w>": 38052,
-  "invisible</w>": 16093,
-  "invit": 12454,
-  "invitation</w>": 15032,
-  "invitational</w>": 14511,
-  "invitations</w>": 40120,
-  "invite</w>": 8109,
-  "invited</w>": 7731,
-  "invites</w>": 16034,
-  "inviting</w>": 14349,
-  "invo": 29417,
-  "invol": 4000,
-  "involve</w>": 26325,
-  "involved</w>": 5320,
-  "involvement</w>": 19502,
-  "involves</w>": 22652,
-  "involving</w>": 14786,
-  "inwx</w>": 35674,
-  "iny</w>": 23257,
-  "inyour": 47954,
-  "io": 3167,
-  "io</w>": 3752,
-  "ioc</w>": 43018,
-  "iom": 33000,
-  "iom</w>": 31135,
-  "ion": 14871,
-  "ion</w>": 3668,
-  "ions</w>": 26289,
-  "ior": 7354,
-  "ior</w>": 2498,
-  "iority</w>": 46016,
-  "iors</w>": 6427,
-  "ios</w>": 6614,
-  "iot": 32694,
-  "iot</w>": 6627,
-  "iota</w>": 37294,
-  "ious</w>": 6994,
-  "iously</w>": 38233,
-  "iow": 7439,
-  "iowa": 38847,
-  "iowa</w>": 8290,
-  "ip": 1719,
-  "ip</w>": 8600,
-  "ipa</w>": 11199,
-  "ipad": 39067,
-  "ipad</w>": 7491,
-  "ipads</w>": 35281,
-  "ipc</w>": 41981,
-  "iphone": 26030,
-  "iphone</w>": 4314,
-  "iphones</w>": 37561,
-  "ipl</w>": 13440,
-  "ipment</w>": 37824,
-  "ipo": 40218,
-  "ipo</w>": 24090,
-  "ipod</w>": 17889,
-  "ipp": 31706,
-  "ips</w>": 26910,
-  "ipsw": 22221,
-  "ipswich</w>": 24494,
-  "iq": 15554,
-  "iq</w>": 19996,
-  "iqbal</w>": 33553,
-  "ir": 582,
-  "ir</w>": 742,
-  "ira": 4923,
-  "ira</w>": 5371,
-  "irah</w>": 35724,
-  "iran": 19273,
-  "iran</w>": 5075,
-  "irandeal</w>": 46533,
-  "irani</w>": 37984,
-  "iranian</w>": 14158,
-  "iraq</w>": 8543,
-  "iraqi</w>": 18617,
-  "irc</w>": 41527,
-  "ird</w>": 2770,
-  "ire": 3013,
-  "ire</w>": 1454,
-  "ired": 32728,
-  "ired</w>": 2995,
-  "ireland": 32806,
-  "ireland</w>": 4157,
-  "irene</w>": 21600,
-  "ires</w>": 12435,
-  "irez</w>": 21581,
-  "irgc</w>": 47942,
-  "iri": 2155,
-  "iri</w>": 13880,
-  "irical</w>": 33366,
-  "irie</w>": 42979,
-  "irina</w>": 46664,
-  "iring</w>": 10169,
-  "iris</w>": 16437,
-  "irish": 9386,
-  "irish</w>": 4889,
-  "irl": 34494,
-  "irl</w>": 8570,
-  "irling</w>": 26493,
-  "irls</w>": 24344,
-  "irma</w>": 22406,
-  "irn</w>": 42603,
-  "iro": 23209,
-  "iro</w>": 7280,
-  "iron": 7699,
-  "iron</w>": 5391,
-  "ironic</w>": 24518,
-  "ironically</w>": 36779,
-  "ironing</w>": 46655,
-  "ironman</w>": 20330,
-  "irons</w>": 30032,
-  "irony</w>": 20681,
-  "irport</w>": 27769,
-  "irr": 24641,
-  "irrational</w>": 47413,
-  "irregular</w>": 38692,
-  "irrelevant</w>": 34677,
-  "irresi": 31200,
-  "irresistible</w>": 35252,
-  "irresponsible</w>": 44714,
-  "irri": 21484,
-  "irrigation</w>": 23761,
-  "irrit": 24218,
-  "irs</w>": 6086,
-  "irst</w>": 32701,
-  "iru</w>": 48206,
-  "irvin</w>": 47053,
-  "irvine</w>": 24201,
-  "irving</w>": 19738,
-  "irwin</w>": 23750,
-  "iry</w>": 7239,
-  "is": 595,
-  "is</w>": 533,
-  "isa": 11034,
-  "isa</w>": 6536,
-  "isaac": 37544,
-  "isaac</w>": 13659,
-  "isab": 13357,
-  "isabel</w>": 27466,
-  "isabella</w>": 26192,
-  "isabelle</w>": 31072,
-  "isable</w>": 46631,
-  "isai": 15365,
-  "isaiah</w>": 17952,
-  "isak": 40619,
-  "isance</w>": 46893,
-  "isation</w>": 7194,
-  "isback</w>": 43811,
-  "isc</w>": 39316,
-  "isch</w>": 47888,
-  "isco</w>": 5736,
-  "iscoming</w>": 26458,
-  "isd": 46816,
-  "isd</w>": 12002,
-  "ise": 7669,
-  "ise</w>": 1479,
-  "ised</w>": 2861,
-  "iselle</w>": 48491,
-  "iser": 23080,
-  "iser</w>": 5626,
-  "isers</w>": 34879,
-  "ises</w>": 5153,
-  "isf</w>": 44036,
-  "isgreat</w>": 34595,
-  "ish": 6844,
-  "ish</w>": 1061,
-  "isha</w>": 28050,
-  "ishable</w>": 37949,
-  "ished</w>": 35341,
-  "ishere</w>": 46053,
-  "ishi": 26224,
-  "ishq": 27996,
-  "ishqba": 32503,
-  "ishqbaaaz</w>": 36591,
-  "isi": 7233,
-  "isi</w>": 17880,
-  "isil</w>": 34636,
-  "isin</w>": 37676,
-  "ising</w>": 3426,
-  "isis</w>": 7531,
-  "isk</w>": 30171,
-  "isl</w>": 31368,
-  "isla</w>": 22807,
-  "islam": 6003,
-  "islam</w>": 8770,
-  "islamabad</w>": 19959,
-  "islamic": 31627,
-  "islamic</w>": 9552,
-  "islamist</w>": 38798,
-  "islamophobia</w>": 43459,
-  "island": 13408,
-  "island</w>": 2619,
-  "islander</w>": 45651,
-  "islanders</w>": 27804,
-  "islands</w>": 7145,
-  "islay</w>": 49279,
-  "isle": 19082,
-  "isle</w>": 11849,
-  "isleof": 24718,
-  "isles</w>": 21816,
-  "islife</w>": 26433,
-  "islington</w>": 34945,
-  "ism": 47730,
-  "ism</w>": 1935,
-  "isma": 43937,
-  "ismail</w>": 36140,
-  "isme</w>": 43570,
-  "ismo</w>": 41926,
-  "isms</w>": 18700,
-  "isn</w>": 2923,
-  "isner</w>": 48246,
-  "isnow</w>": 43694,
-  "isnt</w>": 19416,
-  "iso": 2462,
-  "iso</w>": 12263,
-  "isol": 11414,
-  "isolated</w>": 19044,
-  "isolation</w>": 26400,
-  "ison": 12949,
-  "ison</w>": 4553,
-  "isons</w>": 33318,
-  "isoo</w>": 35857,
-  "isp": 31397,
-  "isp</w>": 39041,
-  "isra": 3591,
-  "israel": 20837,
-  "israel</w>": 4779,
-  "israeli</w>": 8994,
-  "israelis</w>": 45713,
-  "isreal</w>": 47147,
-  "isro</w>": 44841,
-  "iss": 11738,
-  "iss</w>": 4950,
-  "issa": 38579,
-  "issa</w>": 7560,
-  "issan": 49358,
-  "issance</w>": 40828,
-  "issant</w>": 38828,
-  "isse</w>": 18986,
-  "ission</w>": 37946,
-  "issu": 2049,
-  "issue</w>": 3202,
-  "issued</w>": 9246,
-  "issues</w>": 4082,
-  "issuing</w>": 37226,
-  "ist": 9751,
-  "ist</w>": 2304,
-  "istanbul</w>": 12258,
-  "istandwith": 33820,
-  "iste</w>": 32563,
-  "ister</w>": 14555,
-  "isthe": 46748,
-  "istic</w>": 29556,
-  "ists</w>": 8426,
-  "isu": 17030,
-  "isu</w>": 23328,
-  "it": 529,
-  "it</w>": 585,
-  "ita": 36920,
-  "ita</w>": 2864,
-  "itable</w>": 8915,
-  "ital": 2306,
-  "ital</w>": 1660,
-  "itali": 11644,
-  "italia</w>": 11025,
-  "italian": 20264,
-  "italian</w>": 5175,
-  "italians</w>": 44744,
-  "italk</w>": 32894,
-  "italy</w>": 4052,
-  "itan</w>": 18383,
-  "itans</w>": 40711,
-  "itar</w>": 47161,
-  "itarian</w>": 11599,
-  "itary</w>": 17604,
-  "itas": 31634,
-  "itas</w>": 13436,
-  "itate</w>": 42457,
-  "itated</w>": 36744,
-  "itation</w>": 5070,
-  "itative</w>": 22892,
-  "itc</w>": 36449,
-  "itch": 2387,
-  "itch</w>": 8147,
-  "itchen</w>": 32664,
-  "itchy</w>": 41980,
-  "ite": 2732,
-  "ite</w>": 802,
-  "iteam</w>": 37828,
-  "itec": 3099,
-  "itec</w>": 43936,
-  "itech": 44215,
-  "itech</w>": 23040,
-  "ited": 8603,
-  "ited</w>": 1108,
-  "itel</w>": 44638,
-  "itely</w>": 4605,
-  "item</w>": 8532,
-  "items</w>": 6207,
-  "iter": 7938,
-  "iter</w>": 19773,
-  "iteracy</w>": 39634,
-  "iterate</w>": 43106,
-  "iteration</w>": 38790,
-  "ites</w>": 2454,
-  "itez</w>": 42131,
-  "itf</w>": 35436,
-  "itfc</w>": 36519,
-  "ith": 6133,
-  "ith</w>": 1757,
-  "ithaca</w>": 46257,
-  "iti": 760,
-  "iti</w>": 6165,
-  "itia</w>": 22634,
-  "itian</w>": 23365,
-  "itic</w>": 11950,
-  "itical</w>": 48767,
-  "itics</w>": 33967,
-  "ities": 41423,
-  "ities</w>": 1480,
-  "itim": 15676,
-  "itiner": 32803,
-  "itinerary</w>": 41564,
-  "iting</w>": 1257,
-  "ition": 25263,
-  "ition</w>": 1104,
-  "itions</w>": 5540,
-  "itious</w>": 13329,
-  "itis": 33539,
-  "itis</w>": 8388,
-  "itive</w>": 3067,
-  "itly</w>": 42240,
-  "ito": 22167,
-  "ito</w>": 4661,
-  "iton</w>": 21119,
-  "itor": 47267,
-  "itor</w>": 4584,
-  "itors</w>": 22005,
-  "itos</w>": 24560,
-  "its": 7140,
-  "its</w>": 902,
-  "itsa": 45032,
-  "itself</w>": 7290,
-  "itsme": 41125,
-  "itss": 47040,
-  "itt": 1031,
-  "itt</w>": 11228,
-  "itta</w>": 21233,
-  "itte</w>": 31962,
-  "itted</w>": 24429,
-  "itten": 30014,
-  "itten</w>": 4343,
-  "itter</w>": 11456,
-  "itters</w>": 13082,
-  "itti</w>": 28629,
-  "ittin</w>": 25646,
-  "itting</w>": 3147,
-  "ittle": 24208,
-  "ittle</w>": 21366,
-  "ittles</w>": 38989,
-  "itton</w>": 25707,
-  "itty</w>": 35096,
-  "itu": 1668,
-  "itu</w>": 32128,
-  "itude": 43382,
-  "itude</w>": 5012,
-  "itudes</w>": 20459,
-  "itunes</w>": 7007,
-  "itup</w>": 35838,
-  "iture</w>": 25547,
-  "itus</w>": 24364,
-  "itutes</w>": 32883,
-  "itv": 20159,
-  "itv</w>": 12805,
-  "ity": 2480,
-  "ity</w>": 696,
-  "itya</w>": 32055,
-  "itz": 14544,
-  "itz</w>": 7807,
-  "iu": 14292,
-  "iu</w>": 15575,
-  "ium</w>": 10762,
-  "ius</w>": 6740,
-  "iv": 6775,
-  "iv</w>": 9315,
-  "iva</w>": 42463,
-  "ivan": 15544,
-  "ivan</w>": 15689,
-  "ivanka</w>": 37914,
-  "ive": 26885,
-  "ive</w>": 8653,
-  "ived</w>": 15654,
-  "iver": 36849,
-  "iver</w>": 44254,
-  "ives</w>": 27333,
-  "ivf</w>": 39159,
-  "iving</w>": 45136,
-  "ivory</w>": 16776,
-  "ivote": 45835,
-  "ivy": 36939,
-  "ivy</w>": 16045,
-  "iw": 13058,
-  "iw</w>": 46604,
-  "iwant": 42747,
-  "iwd</w>": 16815,
-  "iwm</w>": 44237,
-  "ix": 13272,
-  "ix</w>": 8756,
-  "iy": 13704,
-  "iya</w>": 18595,
-  "iyaki</w>": 48395,
-  "iz": 2845,
-  "iz</w>": 8407,
-  "iza</w>": 37704,
-  "ization</w>": 10847,
-  "ize</w>": 10885,
-  "ized</w>": 7690,
-  "izen</w>": 34776,
-  "izer</w>": 23895,
-  "izes</w>": 45434,
-  "izing</w>": 17354,
-  "izo</w>": 46910,
-  "izz": 31779,
-  "izz</w>": 46128,
-  "izzy</w>": 28861,
-  "j": 73,
-  "j</w>": 329,
-  "ja": 1586,
-  "ja</w>": 2641,
-  "jaan</w>": 25052,
-  "jab": 8059,
-  "jab</w>": 9439,
-  "jac": 2293,
-  "jac</w>": 30198,
-  "jace</w>": 43286,
-  "jack": 2679,
-  "jack</w>": 3267,
-  "jacked</w>": 27923,
-  "jacket</w>": 6164,
-  "jackets</w>": 14745,
-  "jacki": 47418,
-  "jackie": 28023,
-  "jackie</w>": 11716,
-  "jacking</w>": 40929,
-  "jackman</w>": 35723,
-  "jackpot</w>": 23926,
-  "jacks</w>": 19649,
-  "jackson": 12321,
-  "jackson</w>": 4363,
-  "jacksonville</w>": 19263,
-  "jaco": 6840,
-  "jacob": 14385,
-  "jacob</w>": 9222,
-  "jacobs</w>": 17482,
-  "jacobson</w>": 46826,
-  "jacqu": 14495,
-  "jacqueline</w>": 22843,
-  "jacques</w>": 17799,
-  "jad": 12976,
-  "jad</w>": 38691,
-  "jada</w>": 37416,
-  "jade": 25123,
-  "jade</w>": 14513,
-  "jaden</w>": 37174,
-  "jadine</w>": 37445,
-  "jae": 16869,
-  "jae</w>": 15765,
-  "jaejoong</w>": 43610,
-  "jaf": 19362,
-  "jag": 7984,
-  "jag</w>": 36236,
-  "jagan</w>": 48530,
-  "jagger</w>": 30835,
-  "jags</w>": 31086,
-  "jagu": 10096,
-  "jaguar": 44777,
-  "jaguar</w>": 14757,
-  "jaguars</w>": 21854,
-  "jah": 20067,
-  "jah</w>": 11084,
-  "jahan": 44404,
-  "jahan</w>": 47827,
-  "jai": 10542,
-  "jai</w>": 13819,
-  "jail": 18574,
-  "jail</w>": 9332,
-  "jailbreak</w>": 45990,
-  "jailed</w>": 19456,
-  "jails</w>": 47833,
-  "jaime</w>": 24716,
-  "jain</w>": 21999,
-  "jaipur</w>": 23593,
-  "jais": 48607,
-  "jait": 28910,
-  "jaitley</w>": 32776,
-  "jak": 9225,
-  "jak</w>": 30589,
-  "jakarta</w>": 15471,
-  "jake": 13140,
-  "jake</w>": 7419,
-  "jakob</w>": 47358,
-  "jal": 8380,
-  "jal</w>": 26773,
-  "jalan</w>": 27270,
-  "jalap": 49081,
-  "jalape": 34263,
-  "jalapeño</w>": 43017,
-  "jalen</w>": 33548,
-  "jam": 1434,
-  "jam</w>": 5201,
-  "jama": 8977,
-  "jama</w>": 35366,
-  "jamaica</w>": 13019,
-  "jamaican</w>": 25144,
-  "jamal</w>": 26108,
-  "jambo": 35599,
-  "jamboree</w>": 38506,
-  "jame": 12341,
-  "james": 6963,
-  "james</w>": 2392,
-  "jamesbond</w>": 44704,
-  "jamesc": 47004,
-  "jameson</w>": 31731,
-  "jami": 15092,
-  "jamie": 16454,
-  "jamie</w>": 8078,
-  "jamiedor": 34310,
-  "jamiedornan</w>": 34896,
-  "jammed</w>": 35590,
-  "jammin</w>": 35223,
-  "jamming</w>": 25862,
-  "jammu</w>": 25926,
-  "jams</w>": 20243,
-  "jan": 1891,
-  "jan</w>": 3334,
-  "jana</w>": 18182,
-  "jane": 12389,
-  "jane</w>": 6736,
-  "janeiro</w>": 31740,
-  "janet": 29665,
-  "janet</w>": 15872,
-  "jang": 41526,
-  "jang</w>": 22074,
-  "jani</w>": 22606,
-  "janice</w>": 36048,
-  "janine</w>": 46896,
-  "janis</w>": 44233,
-  "jann": 35377,
-  "jans</w>": 22578,
-  "jansen</w>": 45354,
-  "janu": 3623,
-  "january</w>": 3697,
-  "jap": 2299,
-  "jap</w>": 49062,
-  "japan": 4502,
-  "japan</w>": 3400,
-  "japanese": 27211,
-  "japanese</w>": 4925,
-  "japs</w>": 42121,
-  "jar": 5120,
-  "jar</w>": 10837,
-  "jard": 25778,
-  "jardin</w>": 37371,
-  "jare": 17654,
-  "jared": 35597,
-  "jared</w>": 12571,
-  "jaredle": 36739,
-  "jaredleto</w>": 37106,
-  "jaro</w>": 35505,
-  "jarpad</w>": 44497,
-  "jarre": 23385,
-  "jarrett</w>": 30531,
-  "jars</w>": 27583,
-  "jarvis</w>": 29286,
-  "jas": 4492,
-  "jas</w>": 17559,
-  "jasmin": 42989,
-  "jasmin</w>": 47700,
-  "jasmine</w>": 17056,
-  "jason": 10009,
-  "jason</w>": 5395,
-  "jasper</w>": 19827,
-  "jat": 26106,
-  "jau": 26932,
-  "jauregui</w>": 48175,
-  "jav": 6234,
-  "java</w>": 12918,
-  "javascri": 16289,
-  "javascript</w>": 16423,
-  "jave": 46218,
-  "javed</w>": 42268,
-  "javelin</w>": 41701,
-  "javi</w>": 47627,
-  "javier</w>": 23307,
-  "jaw": 14804,
-  "jaw</w>": 17307,
-  "jawa": 44790,
-  "jaws</w>": 25491,
-  "jax": 22348,
-  "jax</w>": 12390,
-  "jay": 3427,
-  "jay</w>": 4155,
-  "jaya</w>": 21960,
-  "jayanti</w>": 37732,
-  "jaye</w>": 45703,
-  "jayne</w>": 35228,
-  "jays</w>": 12393,
-  "jaz": 3465,
-  "jaz</w>": 32874,
-  "jazeera</w>": 38260,
-  "jazz": 11488,
-  "jazz</w>": 4528,
-  "jazzfest</w>": 36683,
-  "jazzy</w>": 28191,
-  "jb": 21915,
-  "jb</w>": 13637,
-  "jc": 14991,
-  "jc</w>": 11517,
-  "jd": 18289,
-  "jd</w>": 14125,
-  "jdm</w>": 42013,
-  "je": 1013,
-  "je</w>": 8776,
-  "jeal": 9964,
-  "jealous</w>": 11093,
-  "jealousy</w>": 37654,
-  "jean": 13943,
-  "jean</w>": 6473,
-  "jeanette</w>": 48167,
-  "jeanne</w>": 29201,
-  "jeans</w>": 10157,
-  "jeb</w>": 35101,
-  "jec": 1347,
-  "ject</w>": 6070,
-  "jed": 12166,
-  "jed</w>": 38748,
-  "jeddah</w>": 40982,
-  "jedi</w>": 16681,
-  "jee": 29250,
-  "jee</w>": 14870,
-  "jeep": 16593,
-  "jeep</w>": 11286,
-  "jeeplife</w>": 43100,
-  "jeet": 45542,
-  "jeet</w>": 30944,
-  "jef": 10276,
-  "jeff": 6245,
-  "jeff</w>": 5550,
-  "jefferson": 44711,
-  "jefferson</w>": 13976,
-  "jeffery</w>": 41470,
-  "jeffree": 45994,
-  "jeffrey": 32886,
-  "jeffrey</w>": 16027,
-  "jeho": 42437,
-  "jeky": 43893,
-  "jekyll</w>": 49405,
-  "jel": 9794,
-  "jelena</w>": 48218,
-  "jelly": 19110,
-  "jelly</w>": 13762,
-  "jellyfish</w>": 30988,
-  "jem": 46326,
-  "jem</w>": 37530,
-  "jen": 2554,
-  "jen</w>": 12997,
-  "jenkins</w>": 16162,
-  "jenn": 33921,
-  "jenn</w>": 29869,
-  "jenna</w>": 17125,
-  "jenner</w>": 14260,
-  "jenni": 6774,
-  "jennie</w>": 28875,
-  "jennifer": 19786,
-  "jennifer</w>": 8613,
-  "jennings</w>": 21564,
-  "jenny": 20165,
-  "jenny</w>": 13414,
-  "jens</w>": 40806,
-  "jensen": 35558,
-  "jensen</w>": 19004,
-  "jensenackles</w>": 41011,
-  "jeon": 45200,
-  "jeon</w>": 43337,
-  "jeong": 47146,
-  "jeong</w>": 39264,
-  "jeopar": 22988,
-  "jeopardy</w>": 29613,
-  "jer": 2310,
-  "jer</w>": 35307,
-  "jere": 5614,
-  "jeremi": 22362,
-  "jeremiah</w>": 27301,
-  "jeremy": 14656,
-  "jeremy</w>": 8127,
-  "jeremycorbyn</w>": 37484,
-  "jeric": 25084,
-  "jericho</w>": 28892,
-  "jerk</w>": 23917,
-  "jerky</w>": 40079,
-  "jermaine</w>": 40722,
-  "jerome</w>": 19876,
-  "jerry": 18163,
-  "jerry</w>": 9164,
-  "jersey": 21921,
-  "jersey</w>": 4471,
-  "jerseys</w>": 15518,
-  "jerus": 12257,
-  "jerusalem</w>": 12557,
-  "jes": 7686,
-  "jes</w>": 35826,
-  "jess": 5313,
-  "jess</w>": 13758,
-  "jesse": 23112,
-  "jesse</w>": 11770,
-  "jessi": 24373,
-  "jessic": 14881,
-  "jessica": 45421,
-  "jessica</w>": 8178,
-  "jessie</w>": 19424,
-  "jester</w>": 44225,
-  "jesu": 19777,
-  "jesuit</w>": 33234,
-  "jesus</w>": 4070,
-  "jet": 11515,
-  "jet</w>": 6565,
-  "jetblue</w>": 45021,
-  "jeter</w>": 38450,
-  "jets": 38584,
-  "jets</w>": 10025,
-  "jett</w>": 44541,
-  "jetty</w>": 46382,
-  "jew</w>": 27450,
-  "jewel": 4880,
-  "jewel</w>": 17591,
-  "jewell": 9777,
-  "jewellers</w>": 46265,
-  "jewellery</w>": 11192,
-  "jewelry": 28018,
-  "jewelry</w>": 6039,
-  "jewels</w>": 20205,
-  "jewish": 29594,
-  "jewish</w>": 9104,
-  "jews</w>": 14200,
-  "jf": 31130,
-  "jf</w>": 33718,
-  "jfc</w>": 43652,
-  "jfk</w>": 18486,
-  "jg": 41986,
-  "jg</w>": 35138,
-  "jh": 24858,
-  "jh</w>": 21485,
-  "jha": 47012,
-  "jha</w>": 38092,
-  "jhal": 45695,
-  "jhar": 31546,
-  "jharkhand</w>": 39001,
-  "jhb</w>": 34631,
-  "ji": 3252,
-  "ji</w>": 2697,
-  "jia</w>": 32907,
-  "jian</w>": 33427,
-  "jiang": 43309,
-  "jiang</w>": 25762,
-  "jic": 48350,
-  "jic</w>": 40215,
-  "jid</w>": 24403,
-  "jie</w>": 40005,
-  "jig": 15136,
-  "jig</w>": 47430,
-  "jigsaw</w>": 32987,
-  "jiha": 23194,
-  "jihad</w>": 29637,
-  "jihoon</w>": 44765,
-  "jil": 36225,
-  "jill": 24136,
-  "jill</w>": 15254,
-  "jillian</w>": 37820,
-  "jim": 3190,
-  "jim</w>": 4550,
-  "jima</w>": 20679,
-  "jimcantore</w>": 43950,
-  "jimenez</w>": 35947,
-  "jimi</w>": 30565,
-  "jimin</w>": 16286,
-  "jimmie</w>": 45679,
-  "jimmy": 12215,
-  "jimmy</w>": 6817,
-  "jimmyfallon</w>": 45265,
-  "jin": 7927,
-  "jin</w>": 8485,
-  "jind": 40609,
-  "jing": 34933,
-  "jing</w>": 28607,
-  "jingle</w>": 28699,
-  "jinnah</w>": 43141,
-  "jinping</w>": 39308,
-  "jinx</w>": 42977,
-  "jinyoung</w>": 38051,
-  "jio</w>": 40501,
-  "jis": 25988,
-  "jis</w>": 23515,
-  "jisoo</w>": 43070,
-  "jit": 11947,
-  "jit</w>": 20308,
-  "jitsu</w>": 24530,
-  "jiu": 43351,
-  "jiu</w>": 44123,
-  "jj": 12502,
-  "jj</w>": 12790,
-  "jk": 20189,
-  "jk</w>": 9702,
-  "jkt</w>": 21494,
-  "jl": 25027,
-  "jl</w>": 22911,
-  "jlo</w>": 31017,
-  "jm": 24044,
-  "jm</w>": 18657,
-  "jn": 24576,
-  "jn</w>": 21717,
-  "jnr</w>": 37145,
-  "jnu</w>": 47142,
-  "jo": 683,
-  "jo</w>": 3804,
-  "joachim</w>": 48979,
-  "joan": 28064,
-  "joan</w>": 12710,
-  "joann": 35484,
-  "joanna</w>": 25357,
-  "joanne": 43736,
-  "joanne</w>": 25092,
-  "joao</w>": 45666,
-  "joaqu": 25140,
-  "joaquin</w>": 30745,
-  "job": 13114,
-  "job</w>": 2075,
-  "jobs</w>": 3735,
-  "jobsearch</w>": 45459,
-  "joburg</w>": 39343,
-  "jocel": 36879,
-  "jocelyn</w>": 47259,
-  "jock</w>": 34485,
-  "jockey</w>": 20126,
-  "jodh": 48689,
-  "jodi": 36812,
-  "jodi</w>": 26888,
-  "jodie</w>": 33100,
-  "jody</w>": 32959,
-  "joe": 9309,
-  "joe</w>": 3305,
-  "joel": 19819,
-  "joel</w>": 11429,
-  "joes</w>": 34756,
-  "joey": 16281,
-  "joey</w>": 10455,
-  "jog": 37967,
-  "jog</w>": 31691,
-  "jogging</w>": 37922,
-  "joh": 1201,
-  "johan": 17416,
-  "johan</w>": 27789,
-  "johann</w>": 31180,
-  "johanna</w>": 41494,
-  "johannes</w>": 37779,
-  "johannesburg</w>": 28377,
-  "johansson</w>": 41512,
-  "johar</w>": 34871,
-  "john": 2004,
-  "john</w>": 1742,
-  "johncena</w>": 46820,
-  "johnnie</w>": 47947,
-  "johnny": 14464,
-  "johnny</w>": 6904,
-  "johns</w>": 14515,
-  "johnson": 26036,
-  "johnson</w>": 4010,
-  "johnston</w>": 19791,
-  "johnstone</w>": 40766,
-  "johor</w>": 34750,
-  "join": 14737,
-  "join</w>": 1384,
-  "joined</w>": 4954,
-  "joining</w>": 5118,
-  "joins</w>": 5681,
-  "joint</w>": 6640,
-  "jointhe": 30422,
-  "jointly</w>": 37471,
-  "joints</w>": 27204,
-  "jojo": 41484,
-  "jojo</w>": 22075,
-  "joke</w>": 7198,
-  "joker</w>": 18200,
-  "jokers</w>": 44101,
-  "jokes</w>": 11336,
-  "joking</w>": 26112,
-  "joko": 44975,
-  "jol": 9174,
-  "jol</w>": 36470,
-  "jolie</w>": 31633,
-  "jolla</w>": 46109,
-  "jolly</w>": 21516,
-  "jom": 32152,
-  "jon": 3026,
-  "jon</w>": 6139,
-  "jona": 6629,
-  "jonah": 47934,
-  "jonah</w>": 27556,
-  "jonas": 42373,
-  "jonas</w>": 13650,
-  "jonathan": 19026,
-  "jonathan</w>": 7762,
-  "jone": 33934,
-  "jones": 19091,
-  "jones</w>": 3538,
-  "jong": 20214,
-  "jong</w>": 14726,
-  "jonghyun</w>": 29023,
-  "jongin</w>": 36957,
-  "joni</w>": 43177,
-  "jonny": 28454,
-  "jonny</w>": 21895,
-  "joo": 25807,
-  "joo</w>": 27680,
-  "joom": 47543,
-  "joon</w>": 18547,
-  "joong</w>": 26544,
-  "jop": 30486,
-  "joplin</w>": 42688,
-  "jor": 2482,
-  "jor</w>": 31595,
-  "jordan": 14644,
-  "jordan</w>": 4388,
-  "jordani": 46898,
-  "jordi</w>": 44795,
-  "jorge": 48761,
-  "jorge</w>": 18225,
-  "jos": 20560,
-  "jos</w>": 19661,
-  "jose": 4647,
-  "jose</w>": 7075,
-  "josef</w>": 36584,
-  "josel": 47800,
-  "joseph": 14163,
-  "joseph</w>": 6478,
-  "josephine</w>": 34866,
-  "josh": 9998,
-  "josh</w>": 5679,
-  "joshi</w>": 24786,
-  "joshu": 9112,
-  "joshua</w>": 11852,
-  "josi": 33583,
-  "josie</w>": 33167,
-  "joss</w>": 42834,
-  "josé</w>": 27922,
-  "jou": 19921,
-  "jou</w>": 32029,
-  "jour": 2078,
-  "jour</w>": 17142,
-  "journ": 4563,
-  "journal</w>": 6626,
-  "journalism</w>": 10123,
-  "journalist</w>": 9914,
-  "journalists</w>": 12249,
-  "journals</w>": 24391,
-  "journe": 48833,
-  "journey": 32156,
-  "journey</w>": 3749,
-  "journeys</w>": 23329,
-  "journo</w>": 37034,
-  "journos</w>": 46437,
-  "jovi</w>": 33866,
-  "joy": 6308,
-  "joy</w>": 4273,
-  "joyce": 43753,
-  "joyce</w>": 15275,
-  "joye": 34052,
-  "joyeux</w>": 41876,
-  "joyful</w>": 24139,
-  "joyous</w>": 32245,
-  "joyride</w>": 46949,
-  "joys</w>": 22996,
-  "jp": 18249,
-  "jp</w>": 10557,
-  "jpg</w>": 36950,
-  "jpn</w>": 36212,
-  "jr": 13973,
-  "jr</w>": 3605,
-  "js": 46243,
-  "js</w>": 8006,
-  "jst</w>": 26523,
-  "jt": 39480,
-  "jt</w>": 18119,
-  "ju": 669,
-  "ju</w>": 9970,
-  "jual</w>": 38720,
-  "juan": 17148,
-  "juan</w>": 9274,
-  "juana</w>": 9081,
-  "jubi": 15485,
-  "jubil": 47743,
-  "jubilee</w>": 16907,
-  "juco</w>": 31570,
-  "jud": 8363,
-  "juda": 32478,
-  "judah</w>": 41066,
-  "judaism</w>": 42217,
-  "judas</w>": 39532,
-  "judd</w>": 29770,
-  "judg": 20012,
-  "judge": 16824,
-  "judge</w>": 5656,
-  "judged</w>": 33453,
-  "judgement</w>": 25246,
-  "judges</w>": 12575,
-  "judging</w>": 16570,
-  "judgment</w>": 24191,
-  "judi": 42546,
-  "judice</w>": 28032,
-  "judicial</w>": 19579,
-  "judiciary</w>": 24545,
-  "judith</w>": 24047,
-  "judo</w>": 27011,
-  "judy": 34663,
-  "judy</w>": 16510,
-  "jug</w>": 27619,
-  "jugg": 38628,
-  "juic": 38761,
-  "juice": 37954,
-  "juice</w>": 6916,
-  "juices</w>": 36757,
-  "juicy</w>": 17623,
-  "juju</w>": 43020,
-  "juke": 32519,
-  "jukebox</w>": 36411,
-  "jul": 34662,
-  "jul</w>": 15975,
-  "jule": 40819,
-  "jules</w>": 21996,
-  "juli": 3614,
-  "juli</w>": 49160,
-  "julia</w>": 10207,
-  "julian": 25459,
-  "julian</w>": 12643,
-  "juliana</w>": 46059,
-  "julie": 22534,
-  "julie</w>": 10505,
-  "julien</w>": 32595,
-  "juliet</w>": 20641,
-  "juliette</w>": 44804,
-  "julio</w>": 24888,
-  "julius</w>": 20870,
-  "july</w>": 2272,
-  "jum": 20791,
-  "jumbo</w>": 24678,
-  "jume": 45989,
-  "jump": 5519,
-  "jump</w>": 6423,
-  "jumped</w>": 16901,
-  "jumper</w>": 16558,
-  "jumpers</w>": 36485,
-  "jumping</w>": 11476,
-  "jumpman</w>": 48803,
-  "jumps</w>": 18911,
-  "jumpsuit</w>": 31044,
-  "jun": 1637,
-  "jun</w>": 7719,
-  "junction</w>": 11320,
-  "june": 23188,
-  "june</w>": 2345,
-  "jung": 13086,
-  "jung</w>": 13031,
-  "jungkook</w>": 20040,
-  "jungle": 42421,
-  "jungle</w>": 10865,
-  "juni": 4029,
-  "junior": 21167,
-  "junior</w>": 5027,
-  "juniors</w>": 16811,
-  "juniper</w>": 33829,
-  "junk</w>": 16000,
-  "junkie</w>": 27613,
-  "junkies</w>": 41207,
-  "juno</w>": 28845,
-  "junto</w>": 34282,
-  "jupit": 15270,
-  "jupiter</w>": 16212,
-  "jur": 15896,
-  "jura": 14715,
-  "jurassic": 28844,
-  "jurassic</w>": 21255,
-  "jurgen</w>": 39263,
-  "juris": 37010,
-  "jurisdic": 37714,
-  "jury</w>": 12931,
-  "jus</w>": 14999,
-  "just": 1770,
-  "just</w>": 761,
-  "justi": 14700,
-  "justic": 30399,
-  "justice": 16904,
-  "justice</w>": 3604,
-  "justicefor": 25812,
-  "justiceleague</w>": 41929,
-  "justices</w>": 44356,
-  "justified</w>": 34546,
-  "justify</w>": 28192,
-  "justin": 7537,
-  "justin</w>": 4394,
-  "justinbieber</w>": 12501,
-  "justine</w>": 34418,
-  "justintrudeau</w>": 32184,
-  "justsaying</w>": 42922,
-  "juve": 47717,
-  "juve</w>": 23092,
-  "juven": 12944,
-  "juvenile</w>": 19333,
-  "juvent": 13908,
-  "juventus": 47378,
-  "juventus</w>": 16208,
-  "jux": 33552,
-  "juxta": 34964,
-  "jv": 37932,
-  "jv</w>": 11805,
-  "jw": 30221,
-  "jw</w>": 24215,
-  "jy": 20979,
-  "jyo": 27378,
-  "jyoti</w>": 48696,
-  "jä": 45381,
-  "k": 74,
-  "k</w>": 330,
-  "ka": 1595,
-  "ka</w>": 1525,
-  "kaa</w>": 34496,
-  "kab": 6554,
-  "kab</w>": 45134,
-  "kabaddi</w>": 41749,
-  "kabir</w>": 38619,
-  "kabo": 47974,
-  "kabul</w>": 26160,
-  "kac": 21693,
-  "kach": 14341,
-  "kad": 10901,
-  "kade</w>": 41130,
-  "kaduna</w>": 38053,
-  "kae": 22542,
-  "kaeper": 30070,
-  "kaepernick</w>": 30713,
-  "kaf": 19870,
-  "kag": 13666,
-  "kag</w>": 31003,
-  "kah": 16068,
-  "kah</w>": 15463,
-  "kahn</w>": 35397,
-  "kai": 12752,
-  "kai</w>": 9601,
-  "kaido</w>": 40255,
-  "kail": 23623,
-  "kaine</w>": 39028,
-  "kair": 33027,
-  "kaiser": 43685,
-  "kaiser</w>": 29960,
-  "kait": 19326,
-  "kaitlyn</w>": 34948,
-  "kaj": 44788,
-  "kaj</w>": 40381,
-  "kak": 10401,
-  "kak</w>": 40128,
-  "kaka</w>": 47689,
-  "kaku</w>": 30900,
-  "kal": 4187,
-  "kal</w>": 18712,
-  "kala": 45453,
-  "kala</w>": 33105,
-  "kalam</w>": 40142,
-  "kalamaz": 42328,
-  "kalamazoo</w>": 46264,
-  "kalb</w>": 34483,
-  "kale": 17162,
-  "kale</w>": 16625,
-  "kaleido": 41144,
-  "kali": 17844,
-  "kali</w>": 26964,
-  "kalin": 42776,
-  "kalyan</w>": 23825,
-  "kam": 4104,
-  "kam</w>": 26011,
-  "kamal": 31371,
-  "kamal</w>": 28619,
-  "kamala</w>": 45003,
-  "kame": 45235,
-  "kamen</w>": 40738,
-  "kami</w>": 28707,
-  "kamloops</w>": 36602,
-  "kamp": 35179,
-  "kamp</w>": 29522,
-  "kampala</w>": 37134,
-  "kan": 2532,
-  "kan</w>": 8101,
-  "kana</w>": 35178,
-  "kand": 17478,
-  "kane": 32218,
-  "kane</w>": 9765,
-  "kang": 12226,
-  "kang</w>": 20789,
-  "kangar": 20622,
-  "kangaroo</w>": 25513,
-  "kani": 40907,
-  "kani</w>": 41948,
-  "kann": 18533,
-  "kannada</w>": 30053,
-  "kano</w>": 28201,
-  "kans</w>": 34012,
-  "kansas": 25507,
-  "kansas</w>": 6539,
-  "kansascity</w>": 46134,
-  "kant": 39923,
-  "kant</w>": 47132,
-  "kanth</w>": 24427,
-  "kanu</w>": 44565,
-  "kany": 13590,
-  "kanye": 29680,
-  "kanye</w>": 14965,
-  "kanyewest</w>": 31943,
-  "kap": 6804,
-  "kap</w>": 45279,
-  "kapam": 48561,
-  "kapil": 32337,
-  "kapil</w>": 42709,
-  "kapilshar": 48978,
-  "kaplan</w>": 37401,
-  "kapoor</w>": 9117,
-  "kapp": 36717,
-  "kappa</w>": 20239,
-  "kapur</w>": 42371,
-  "kar": 1813,
-  "kar</w>": 5933,
-  "kara</w>": 12552,
-  "karab": 40916,
-  "karachi</w>": 13671,
-  "karak": 40372,
-  "karan": 20077,
-  "karan</w>": 20931,
-  "karanjohar</w>": 47621,
-  "karao": 16262,
-  "karaoke</w>": 16640,
-  "karate</w>": 21211,
-  "kardashi": 13619,
-  "kardashian</w>": 14578,
-  "kare": 14310,
-  "kare</w>": 38354,
-  "kareem</w>": 38885,
-  "kareena</w>": 41569,
-  "karen": 17719,
-  "karen</w>": 10349,
-  "kari": 15339,
-  "kari</w>": 15161,
-  "karim</w>": 33477,
-  "karin</w>": 43917,
-  "karina</w>": 40250,
-  "karl": 20967,
-  "karl</w>": 13134,
-  "karla</w>": 42309,
-  "karma</w>": 17658,
-  "karnat": 13994,
-  "karnataka</w>": 15515,
-  "karo</w>": 45305,
-  "kart": 47841,
-  "kart</w>": 21310,
-  "karthik</w>": 41397,
-  "karti": 23053,
-  "kartikeyan</w>": 32584,
-  "karting</w>": 41655,
-  "kas": 6119,
-  "kas</w>": 14372,
-  "kasa</w>": 46111,
-  "kash": 6954,
-  "kash</w>": 21371,
-  "kashi": 47945,
-  "kashmir": 20251,
-  "kashmir</w>": 10783,
-  "kashmiri</w>": 35331,
-  "kasi": 45870,
-  "kasi</w>": 32819,
-  "kasich</w>": 39666,
-  "kat": 2844,
-  "kat</w>": 9341,
-  "kata</w>": 14558,
-  "kate": 11620,
-  "kate</w>": 6699,
-  "katelyn</w>": 45963,
-  "kath": 7386,
-  "kath</w>": 19745,
-  "katharine</w>": 41473,
-  "katherine</w>": 17687,
-  "kathle": 18721,
-  "kathleen</w>": 21709,
-  "kathmandu</w>": 34456,
-  "kathniel</w>": 36159,
-  "kathr": 14905,
-  "kathryn": 33142,
-  "kathryn</w>": 19999,
-  "kathy": 34775,
-  "kathy</w>": 18795,
-  "kati": 6515,
-  "kati</w>": 29928,
-  "katic</w>": 48058,
-  "katie": 24117,
-  "katie</w>": 9076,
-  "katniss</w>": 47916,
-  "kato</w>": 27573,
-  "katrin": 31282,
-  "katrina</w>": 21397,
-  "katrinakaif</w>": 45845,
-  "kats</w>": 44213,
-  "katsu": 49296,
-  "katsu</w>": 43712,
-  "katy": 17609,
-  "katy</w>": 14435,
-  "katyperry</w>": 28309,
-  "katz</w>": 30790,
-  "kau": 9299,
-  "kau</w>": 36895,
-  "kauai</w>": 44050,
-  "kaufman</w>": 37188,
-  "kaur</w>": 30518,
-  "kav": 10228,
-  "kavan": 18576,
-  "kavanaugh</w>": 20252,
-  "kaw": 10842,
-  "kaw</w>": 42719,
-  "kawa</w>": 33244,
-  "kawaii</w>": 26891,
-  "kawasaki</w>": 28227,
-  "kawhi</w>": 41220,
-  "kay": 4673,
-  "kay</w>": 9862,
-  "kaya</w>": 22752,
-  "kayak</w>": 27043,
-  "kayaking</w>": 28977,
-  "kaye</w>": 33003,
-  "kayla</w>": 17139,
-  "kaylee</w>": 47215,
-  "kayo</w>": 37021,
-  "kaz": 8812,
-  "kaz</w>": 39622,
-  "kazakh": 25451,
-  "kazakhstan</w>": 26720,
-  "kazan</w>": 47641,
-  "kb": 27381,
-  "kb</w>": 19960,
-  "kbs</w>": 27418,
-  "kc": 10869,
-  "kc</w>": 8638,
-  "kca</w>": 14347,
-  "kcon</w>": 39970,
-  "kcr": 46181,
-  "kd": 21826,
-  "kd</w>": 15597,
-  "kday</w>": 31074,
-  "kdrama</w>": 48628,
-  "ke": 643,
-  "ke</w>": 618,
-  "kea</w>": 47926,
-  "kean": 43288,
-  "keane</w>": 28635,
-  "keanu</w>": 40608,
-  "kear": 21562,
-  "kearney</w>": 36435,
-  "keating</w>": 40045,
-  "keaton</w>": 29975,
-  "kebab</w>": 36497,
-  "ked": 11730,
-  "ked</w>": 1243,
-  "kee": 9724,
-  "kee</w>": 6760,
-  "keef</w>": 42323,
-  "keefe</w>": 46965,
-  "keegan</w>": 31122,
-  "keel</w>": 48376,
-  "keen": 17714,
-  "keen</w>": 13218,
-  "keenan</w>": 36276,
-  "keep": 2924,
-  "keep</w>": 1726,
-  "keeper</w>": 7650,
-  "keepers</w>": 16130,
-  "keepin</w>": 41712,
-  "keeping": 38371,
-  "keeping</w>": 4873,
-  "keepit": 28044,
-  "keeps</w>": 6333,
-  "keer": 27412,
-  "keerth": 47500,
-  "keerthyofficial</w>": 48185,
-  "kees</w>": 10791,
-  "keg</w>": 32785,
-  "keh": 41272,
-  "keh</w>": 36983,
-  "kei": 18735,
-  "kei</w>": 24835,
-  "keith": 18762,
-  "keith</w>": 8252,
-  "kej": 15674,
-  "kejri": 16617,
-  "kejriwal</w>": 17334,
-  "keke</w>": 39195,
-  "kel": 2825,
-  "kel</w>": 7553,
-  "kele": 41765,
-  "kell": 16082,
-  "kell</w>": 40103,
-  "keller</w>": 21407,
-  "kelley</w>": 23776,
-  "kelli": 45852,
-  "kelli</w>": 46190,
-  "kellie</w>": 49224,
-  "kellogg</w>": 44218,
-  "kelly": 13417,
-  "kelly</w>": 5220,
-  "kelown": 31708,
-  "kelowna</w>": 32963,
-  "kelsey": 42295,
-  "kelsey</w>": 23018,
-  "kelvin</w>": 32859,
-  "kem": 31013,
-  "kem</w>": 17349,
-  "kemp": 18302,
-  "kemp</w>": 25325,
-  "ken": 1838,
-  "ken</w>": 1702,
-  "kend": 7497,
-  "kendal</w>": 44836,
-  "kendall": 34607,
-  "kendall</w>": 16238,
-  "kendra</w>": 36074,
-  "kendrick": 41787,
-  "kendrick</w>": 21953,
-  "kendricklamar</w>": 47020,
-  "kenne": 6209,
-  "kennedy": 38631,
-  "kennedy</w>": 9004,
-  "kennel</w>": 39595,
-  "kenneth": 46900,
-  "kenneth</w>": 17839,
-  "kenney</w>": 41373,
-  "kenny": 20185,
-  "kenny</w>": 9595,
-  "kens</w>": 29765,
-  "kensing": 21505,
-  "kensington</w>": 24988,
-  "kent": 13875,
-  "kent</w>": 8214,
-  "kentu": 9045,
-  "kentucky": 32230,
-  "kentucky</w>": 10014,
-  "keny": 17374,
-  "kenya</w>": 6181,
-  "kenyan</w>": 22624,
-  "kenyans</w>": 36263,
-  "kenyatta</w>": 31012,
-  "kenzie</w>": 38087,
-  "keo": 43062,
-  "kept</w>": 7737,
-  "ker": 2352,
-  "ker</w>": 1485,
-  "keral": 35122,
-  "kerala</w>": 11881,
-  "kered</w>": 26690,
-  "kerel</w>": 32232,
-  "keri</w>": 43447,
-  "kermit</w>": 40908,
-  "kern</w>": 40150,
-  "kernel</w>": 40684,
-  "kerr</w>": 20491,
-  "kerri": 41849,
-  "kerry": 24795,
-  "kerry</w>": 13097,
-  "kers": 30347,
-  "kers</w>": 2880,
-  "kershaw</w>": 40785,
-  "kerson</w>": 42810,
-  "kerswednesday</w>": 48152,
-  "kert</w>": 47279,
-  "kes": 38398,
-  "kes</w>": 1115,
-  "kesh</w>": 19751,
-  "kesha</w>": 36526,
-  "kest</w>": 15080,
-  "ket": 2715,
-  "ket</w>": 1236,
-  "ketball</w>": 38240,
-  "ketch": 22590,
-  "ketch</w>": 35371,
-  "ketchup</w>": 26724,
-  "kete": 25404,
-  "keted</w>": 41396,
-  "keting</w>": 15951,
-  "keto": 27485,
-  "keto</w>": 28754,
-  "kets</w>": 1632,
-  "kett": 23124,
-  "kett</w>": 10312,
-  "kettering</w>": 43779,
-  "kettle": 41992,
-  "kettle</w>": 24303,
-  "kev": 22758,
-  "kev</w>": 29419,
-  "kevin": 9419,
-  "kevin</w>": 4685,
-  "kew": 38014,
-  "kew</w>": 31409,
-  "kex": 30251,
-  "key": 2891,
-  "key</w>": 1458,
-  "keyan</w>": 27617,
-  "keyboard</w>": 13017,
-  "keyboards</w>": 49237,
-  "keychain</w>": 31050,
-  "keye": 40516,
-  "keye</w>": 20635,
-  "keyes</w>": 18336,
-  "keynes</w>": 32462,
-  "keynote</w>": 7556,
-  "keys": 48912,
-  "keys</w>": 6355,
-  "keystone</w>": 30688,
-  "keyword</w>": 42284,
-  "keywords</w>": 48122,
-  "kf": 33308,
-  "kf</w>": 42119,
-  "kfc</w>": 22032,
-  "kg": 36772,
-  "kg</w>": 7817,
-  "kgs</w>": 46629,
-  "kh": 2166,
-  "kh</w>": 7452,
-  "kha": 7333,
-  "kha</w>": 18929,
-  "khair": 43742,
-  "khaki</w>": 41646,
-  "khal": 13070,
-  "khaled</w>": 29343,
-  "khali": 11324,
-  "khalid</w>": 27166,
-  "khalifa</w>": 21389,
-  "khalil</w>": 36229,
-  "kham": 24892,
-  "khan": 13318,
-  "khan</w>": 3873,
-  "khand": 43384,
-  "khand</w>": 31110,
-  "khanna</w>": 29931,
-  "khar": 18340,
-  "khar</w>": 28578,
-  "khart</w>": 37458,
-  "khat": 43290,
-  "khe": 26360,
-  "kher</w>": 43843,
-  "khi": 39062,
-  "khi</w>": 42925,
-  "khil": 34101,
-  "khloe</w>": 45312,
-  "kho": 14022,
-  "kho</w>": 28774,
-  "khou</w>": 30656,
-  "khs</w>": 21239,
-  "khtar</w>": 45593,
-  "khu": 14041,
-  "khur": 32083,
-  "khy": 40917,
-  "khz</w>": 45604,
-  "ki": 848,
-  "ki</w>": 2608,
-  "kia</w>": 8712,
-  "kian": 43961,
-  "kian</w>": 25708,
-  "kians</w>": 44010,
-  "kib": 43108,
-  "kiba": 37207,
-  "kic": 24003,
-  "kic</w>": 27633,
-  "kicchasu": 44665,
-  "kicchasudeep</w>": 45560,
-  "kick": 4102,
-  "kick</w>": 4289,
-  "kickass</w>": 39299,
-  "kickboxing</w>": 36041,
-  "kicked</w>": 12479,
-  "kicker</w>": 26338,
-  "kickin</w>": 34597,
-  "kicking</w>": 7802,
-  "kickoff</w>": 10245,
-  "kicks</w>": 6989,
-  "kickstart</w>": 40780,
-  "kickstarter</w>": 13228,
-  "kid": 3948,
-  "kid</w>": 3551,
-  "kidd</w>": 24082,
-  "kidding</w>": 14535,
-  "kiddo</w>": 36360,
-  "kiddos</w>": 29205,
-  "kidlit": 39064,
-  "kidlit</w>": 33515,
-  "kidlitart</w>": 41600,
-  "kidman</w>": 44931,
-  "kidnap</w>": 45100,
-  "kidnapp": 16183,
-  "kidnapped</w>": 24737,
-  "kidnapping</w>": 32361,
-  "kidney": 37835,
-  "kidney</w>": 14610,
-  "kids": 15561,
-  "kids</w>": 1911,
-  "kidz</w>": 41938,
-  "kie": 8544,
-  "kie</w>": 3094,
-  "kiefer</w>": 48026,
-  "kiel": 40940,
-  "kiel</w>": 25509,
-  "kien</w>": 28782,
-  "kier": 20403,
-  "kier</w>": 35575,
-  "kieran</w>": 29231,
-  "kies": 36601,
-  "kies</w>": 4993,
-  "kiest</w>": 29755,
-  "kiev</w>": 24585,
-  "kiewicz</w>": 47574,
-  "kigali</w>": 40278,
-  "kii</w>": 39340,
-  "kik</w>": 36176,
-  "kiki</w>": 23962,
-  "kiko</w>": 40861,
-  "kil": 4912,
-  "kil</w>": 39337,
-  "kildare</w>": 45541,
-  "kili": 24386,
-  "kilig</w>": 49172,
-  "kilimanjaro</w>": 43470,
-  "kilkenny</w>": 33805,
-  "kill": 6163,
-  "kill</w>": 4367,
-  "killa</w>": 41355,
-  "killarney</w>": 48813,
-  "killed</w>": 3733,
-  "killer": 28230,
-  "killer</w>": 6613,
-  "killers</w>": 17614,
-  "killin</w>": 25903,
-  "killing": 37977,
-  "killing</w>": 5923,
-  "killings</w>": 24918,
-  "kills</w>": 9795,
-  "kiln</w>": 44150,
-  "kilo": 39281,
-  "kilom": 26285,
-  "kilometers</w>": 39192,
-  "kilometres</w>": 43278,
-  "kilt</w>": 49319,
-  "kim": 4639,
-  "kim</w>": 4606,
-  "kimber": 16796,
-  "kimberley</w>": 39859,
-  "kimberly</w>": 27465,
-  "kimchi</w>": 41027,
-  "kimi</w>": 31536,
-  "kimkardashian</w>": 35400,
-  "kimmel</w>": 27820,
-  "kimono</w>": 40024,
-  "kin": 1442,
-  "kin</w>": 2667,
-  "kina</w>": 28518,
-  "kind": 7204,
-  "kind</w>": 3044,
-  "kinda</w>": 6612,
-  "kinder": 12711,
-  "kinder</w>": 24159,
-  "kindergarten</w>": 16749,
-  "kindle": 24704,
-  "kindle</w>": 10746,
-  "kindleunlimited</w>": 32164,
-  "kindly</w>": 13952,
-  "kindness": 45112,
-  "kindness</w>": 10614,
-  "kinds</w>": 14879,
-  "kine": 17607,
-  "kineni</w>": 49080,
-  "kinetic</w>": 37699,
-  "king": 2365,
-  "king</w>": 674,
-  "kingdom": 21870,
-  "kingdom</w>": 7364,
-  "kingdomhearts</w>": 48570,
-  "kingdoms</w>": 43890,
-  "kingfisher</w>": 34330,
-  "kingjames</w>": 33153,
-  "kingly</w>": 33642,
-  "kingof": 27878,
-  "kings": 18590,
-  "kings</w>": 4232,
-  "kingsley</w>": 41807,
-  "kingston": 40736,
-  "kingston</w>": 15393,
-  "kini</w>": 41644,
-  "kinky</w>": 37006,
-  "kinney</w>": 37233,
-  "kino</w>": 39000,
-  "kins": 31060,
-  "kins</w>": 4386,
-  "kinson</w>": 12095,
-  "kio": 28210,
-  "kio</w>": 39401,
-  "kiosk</w>": 39146,
-  "kip": 27636,
-  "kip</w>": 15986,
-  "kipp": 43329,
-  "kir": 3476,
-  "kir</w>": 32949,
-  "kira</w>": 33038,
-  "kiran": 43234,
-  "kiran</w>": 36603,
-  "kirby</w>": 17065,
-  "kiri": 34170,
-  "kiri</w>": 45826,
-  "kirk": 10639,
-  "kirk</w>": 11508,
-  "kirkland</w>": 43061,
-  "kiro</w>": 39749,
-  "kirstel</w>": 46483,
-  "kirsten</w>": 31813,
-  "kirsty</w>": 37787,
-  "kis": 3199,
-  "kis</w>": 22796,
-  "kish": 25662,
-  "kiss": 43757,
-  "kiss</w>": 5946,
-  "kissed</w>": 22561,
-  "kisses": 47876,
-  "kisses</w>": 11220,
-  "kissing</w>": 18637,
-  "kistan</w>": 29580,
-  "kit": 4566,
-  "kit</w>": 4274,
-  "kita</w>": 29961,
-  "kitch": 3850,
-  "kitchen": 18131,
-  "kitchen</w>": 4485,
-  "kitchener</w>": 34428,
-  "kitchens</w>": 28301,
-  "kite": 47777,
-  "kite</w>": 19867,
-  "kites</w>": 45829,
-  "kits</w>": 13730,
-  "kitt": 10840,
-  "kitten</w>": 13063,
-  "kittens</w>": 17216,
-  "kitties</w>": 36013,
-  "kitty": 25067,
-  "kitty</w>": 8417,
-  "kiwan": 38709,
-  "kiwanis</w>": 46513,
-  "kiwi</w>": 22440,
-  "kiwis</w>": 48108,
-  "kiya</w>": 41610,
-  "kj": 27385,
-  "kj</w>": 28238,
-  "kja": 41048,
-  "kjv</w>": 37387,
-  "kk": 4390,
-  "kk</w>": 10849,
-  "kka</w>": 19002,
-  "kke</w>": 44239,
-  "kker</w>": 32399,
-  "kki</w>": 44672,
-  "kkk</w>": 20073,
-  "kkkk": 15834,
-  "kkkk</w>": 47160,
-  "kkkkkkkk": 31042,
-  "kko</w>": 43965,
-  "kkr</w>": 40855,
-  "kl": 8498,
-  "kl</w>": 14134,
-  "kla": 11249,
-  "klan</w>": 46935,
-  "klar": 41374,
-  "klaus</w>": 31788,
-  "kle": 7612,
-  "kle</w>": 7432,
-  "klein": 33475,
-  "klein</w>": 17579,
-  "kley</w>": 18594,
-  "kli": 31640,
-  "klin": 44809,
-  "klin</w>": 41647,
-  "kline</w>": 47580,
-  "kling": 40270,
-  "klm</w>": 38859,
-  "klo": 15296,
-  "klopp</w>": 26446,
-  "kltu</w>": 25978,
-  "klu": 21852,
-  "kly</w>": 45090,
-  "km": 29954,
-  "km</w>": 4590,
-  "kman</w>": 33312,
-  "kms</w>": 24996,
-  "kn": 4825,
-  "kn</w>": 23693,
-  "knapp</w>": 33945,
-  "kne": 6358,
-  "knee</w>": 9897,
-  "knees</w>": 19115,
-  "kner</w>": 31578,
-  "knew</w>": 5009,
-  "kni": 6312,
-  "knick": 33286,
-  "knicks</w>": 17657,
-  "knife": 44176,
-  "knife</w>": 8960,
-  "knigh": 43099,
-  "knight": 17949,
-  "knight</w>": 7355,
-  "knights</w>": 10385,
-  "knit": 18745,
-  "knit</w>": 14313,
-  "knitted</w>": 28151,
-  "knitting</w>": 18863,
-  "knives</w>": 20910,
-  "kno": 1482,
-  "kno</w>": 25362,
-  "knob</w>": 29736,
-  "knobs</w>": 47504,
-  "knock": 14195,
-  "knock</w>": 11583,
-  "knocked</w>": 15325,
-  "knocking</w>": 20380,
-  "knockout</w>": 22602,
-  "knocks</w>": 24296,
-  "knoll</w>": 43882,
-  "knot</w>": 18412,
-  "knots</w>": 32428,
-  "know": 4179,
-  "know</w>": 1038,
-  "knowing</w>": 9267,
-  "knowledge": 27864,
-  "knowledge</w>": 5510,
-  "knowledgeable</w>": 43391,
-  "knowles</w>": 32631,
-  "known</w>": 3102,
-  "knows</w>": 4309,
-  "knowyour": 30773,
-  "knox": 18630,
-  "knox</w>": 21833,
-  "knoxville</w>": 23232,
-  "knu": 14812,
-  "knuck": 21333,
-  "knuckle</w>": 42023,
-  "knuckles</w>": 40127,
-  "knw</w>": 40803,
-  "ko": 1313,
-  "ko</w>": 2448,
-  "koala</w>": 36654,
-  "kobe": 42644,
-  "kobe</w>": 14470,
-  "kobo</w>": 42390,
-  "koch</w>": 25331,
-  "kochi</w>": 36710,
-  "kodak</w>": 30425,
-  "kodi": 46611,
-  "kof": 17528,
-  "koff</w>": 47303,
-  "kofi</w>": 40400,
-  "koh": 13379,
-  "koh</w>": 31216,
-  "kohl</w>": 48479,
-  "kohli</w>": 17549,
-  "koi</w>": 28150,
-  "kojima</w>": 46419,
-  "kok": 32045,
-  "kok</w>": 11225,
-  "koko": 42426,
-  "koko</w>": 40003,
-  "kol": 7142,
-  "kol</w>": 31023,
-  "kolkata</w>": 18011,
-  "kom": 6686,
-  "kom</w>": 24181,
-  "kombat</w>": 29670,
-  "kombucha</w>": 48615,
-  "komo</w>": 31820,
-  "kon": 5743,
-  "kon</w>": 29519,
-  "kona</w>": 30203,
-  "kong": 31784,
-  "kong</w>": 6506,
-  "konstant": 46583,
-  "koo": 12225,
-  "koo</w>": 40472,
-  "kook</w>": 16003,
-  "kool": 36755,
-  "kool</w>": 26444,
-  "kop": 16623,
-  "kop</w>": 38999,
-  "kor": 6428,
-  "kor</w>": 24175,
-  "kore": 3919,
-  "korea</w>": 5915,
-  "korean": 31949,
-  "korean</w>": 8034,
-  "kori</w>": 42842,
-  "korn": 45412,
-  "korn</w>": 31492,
-  "kors</w>": 34535,
-  "kos": 47438,
-  "kos</w>": 22951,
-  "kosh</w>": 45233,
-  "kosher</w>": 36502,
-  "koso": 23892,
-  "kosovo</w>": 28343,
-  "kot": 23323,
-  "kot</w>": 20701,
-  "kota</w>": 21735,
-  "koto": 40945,
-  "koto</w>": 29977,
-  "kou": 18502,
-  "kou</w>": 39614,
-  "kour": 34134,
-  "kov": 17733,
-  "kov</w>": 15156,
-  "kova</w>": 26185,
-  "koval": 47903,
-  "kovic</w>": 16886,
-  "kovich</w>": 44794,
-  "kovsky</w>": 33384,
-  "kow": 29764,
-  "kow</w>": 23919,
-  "kowski</w>": 17649,
-  "koz": 29598,
-  "kp": 16174,
-  "kp</w>": 16894,
-  "kpa</w>": 38759,
-  "kph</w>": 41138,
-  "kpk</w>": 42094,
-  "kpmg</w>": 38243,
-  "kpop": 29534,
-  "kpop</w>": 15859,
-  "kprc</w>": 47832,
-  "kprs</w>": 46253,
-  "kr": 7309,
-  "kr</w>": 14107,
-  "kra": 5762,
-  "kraft</w>": 28057,
-  "kraja</w>": 29016,
-  "kraken</w>": 48408,
-  "krakow</w>": 40033,
-  "kram": 19075,
-  "kramer</w>": 27495,
-  "kran": 33243,
-  "kranti</w>": 47969,
-  "krat": 30470,
-  "kre": 8362,
-  "kreme</w>": 43140,
-  "kremlin</w>": 33979,
-  "kri": 3679,
-  "kris": 35251,
-  "kris</w>": 12261,
-  "krish": 11487,
-  "krishna</w>": 15863,
-  "krishnan</w>": 46535,
-  "krispy</w>": 49292,
-  "krist": 16490,
-  "kristen": 28881,
-  "kristen</w>": 16644,
-  "kristi": 26895,
-  "kristin": 35408,
-  "kristin</w>": 26785,
-  "kristina</w>": 33180,
-  "krit": 36265,
-  "kro": 16193,
-  "kroger</w>": 36344,
-  "kron": 25999,
-  "kru": 10609,
-  "kruger</w>": 32948,
-  "krun": 43084,
-  "kry": 13995,
-  "krystal</w>": 36554,
-  "ks": 10470,
-  "ks</w>": 662,
-  "ksa</w>": 25439,
-  "ksh</w>": 36594,
-  "kst</w>": 17420,
-  "kstate": 48590,
-  "ksu</w>": 43496,
-  "kswx</w>": 36180,
-  "kt": 17238,
-  "kt</w>": 7792,
-  "ktm</w>": 33989,
-  "ktn": 42170,
-  "kton</w>": 37848,
-  "kts</w>": 48577,
-  "ktv": 36444,
-  "ku": 1836,
-  "ku</w>": 4827,
-  "kuala</w>": 30336,
-  "kubball</w>": 48995,
-  "kuber": 41336,
-  "kubernetes</w>": 45144,
-  "kubrick</w>": 37032,
-  "kuch</w>": 39394,
-  "kud": 40818,
-  "kudos</w>": 14481,
-  "kul": 11325,
-  "kul</w>": 31514,
-  "kum": 18086,
-  "kum</w>": 28148,
-  "kuma": 43139,
-  "kuma</w>": 33920,
-  "kumar": 22329,
-  "kumar</w>": 7674,
-  "kumb": 31391,
-  "kun": 6849,
-  "kun</w>": 21842,
-  "kung": 39656,
-  "kung</w>": 22347,
-  "kunst</w>": 37881,
-  "kup": 39023,
-  "kups</w>": 27240,
-  "kur": 4862,
-  "kurdi": 23504,
-  "kurdish</w>": 21644,
-  "kurdistan</w>": 24459,
-  "kurds</w>": 20888,
-  "kuri": 46375,
-  "kuro": 28239,
-  "kuro</w>": 47826,
-  "kurt": 31903,
-  "kurt</w>": 14527,
-  "kus": 27618,
-  "kus</w>": 27505,
-  "kush": 22264,
-  "kush</w>": 24594,
-  "kushner</w>": 36716,
-  "kut": 17283,
-  "kut</w>": 36965,
-  "kuwait</w>": 19679,
-  "kuya</w>": 34815,
-  "kuz": 33253,
-  "kv": 27594,
-  "kv</w>": 34249,
-  "kw": 10072,
-  "kw</w>": 18339,
-  "kwa": 32784,
-  "kwa</w>": 48576,
-  "kwame</w>": 46681,
-  "kwan": 37100,
-  "kwan</w>": 39447,
-  "kwang</w>": 40260,
-  "kwe": 26050,
-  "kwi": 35327,
-  "kwon</w>": 36369,
-  "kx": 28190,
-  "kx</w>": 46442,
-  "ky": 2018,
-  "ky</w>": 2383,
-  "kya</w>": 29142,
-  "kyc</w>": 37758,
-  "kyiv</w>": 36422,
-  "kyle": 15847,
-  "kyle</w>": 7539,
-  "kylie": 28282,
-  "kylie</w>": 17983,
-  "kyliejenner</w>": 47232,
-  "kylo</w>": 47704,
-  "kyo": 13150,
-  "kyo</w>": 6281,
-  "kyoto</w>": 23223,
-  "kyr": 26329,
-  "kyrgy": 40013,
-  "kyrgyz": 48346,
-  "kyrie</w>": 21857,
-  "kyu": 28296,
-  "kyu</w>": 25490,
-  "kyuhyun</w>": 37229,
-  "kyung</w>": 41058,
-  "kyungsoo</w>": 30280,
-  "kywx</w>": 39940,
-  "kz": 48743,
-  "kz</w>": 36848,
-  "kzn</w>": 38264,
-  "kö": 32437,
-  "l": 75,
-  "l</w>": 331,
-  "la": 572,
-  "la</w>": 1210,
-  "laa</w>": 44642,
-  "lab": 3537,
-  "lab</w>": 4352,
-  "labe": 25749,
-  "label": 12235,
-  "label</w>": 9093,
-  "labeled</w>": 32720,
-  "labeling</w>": 36825,
-  "labelled</w>": 45188,
-  "labels</w>": 17413,
-  "lable</w>": 31879,
-  "labor": 11201,
-  "labor</w>": 7878,
-  "laboratories</w>": 43421,
-  "laboratory</w>": 17664,
-  "laborday</w>": 39324,
-  "labou": 32700,
-  "labour": 19586,
-  "labour</w>": 6019,
-  "labourdoorstep</w>": 37008,
-  "labout": 35961,
-  "labra": 37067,
-  "labrador</w>": 25409,
-  "labs</w>": 12021,
-  "laby": 29131,
-  "labyrin": 31782,
-  "labyrinth</w>": 35594,
-  "lac": 4477,
-  "lac</w>": 16189,
-  "lace": 30012,
-  "lace</w>": 5421,
-  "laced</w>": 36800,
-  "laces</w>": 23281,
-  "lacey</w>": 31754,
-  "lach": 30558,
-  "lack": 24915,
-  "lack</w>": 8069,
-  "lacking</w>": 30080,
-  "lacks</w>": 34388,
-  "laco": 45882,
-  "lacrosse</w>": 12915,
-  "lacy</w>": 38645,
-  "lad": 15991,
-  "lad</w>": 10707,
-  "ladak": 42312,
-  "ladakh</w>": 45295,
-  "ladder</w>": 16637,
-  "ladders</w>": 47125,
-  "lade</w>": 26447,
-  "laden</w>": 28634,
-  "ladi": 12934,
-  "ladies": 28932,
-  "ladies</w>": 3431,
-  "lads</w>": 9803,
-  "lady": 7275,
-  "lady</w>": 2909,
-  "ladybird</w>": 43389,
-  "ladybug</w>": 40038,
-  "ladygaga</w>": 21232,
-  "laf": 47555,
-  "lafayette</w>": 22683,
-  "lag": 30932,
-  "lag</w>": 20394,
-  "laga</w>": 30161,
-  "lage</w>": 24369,
-  "lager": 36811,
-  "lager</w>": 22989,
-  "lagh": 37237,
-  "laghate": 47565,
-  "laghateparth</w>": 48780,
-  "lagi</w>": 39786,
-  "lago": 42698,
-  "lago</w>": 31476,
-  "lagoon</w>": 22753,
-  "lagos</w>": 12728,
-  "lagun": 18500,
-  "laguna</w>": 23609,
-  "lah": 27315,
-  "lah</w>": 4299,
-  "lahat</w>": 42164,
-  "lahore</w>": 16733,
-  "lai</w>": 23947,
-  "laid": 42560,
-  "laid</w>": 11160,
-  "lain": 46958,
-  "lain</w>": 17151,
-  "laine</w>": 35860,
-  "lair</w>": 31981,
-  "lais</w>": 34923,
-  "lak": 12890,
-  "lak</w>": 26793,
-  "lake": 6441,
-  "lake</w>": 2553,
-  "lakedistrict</w>": 26437,
-  "lakel": 26133,
-  "lakeland</w>": 34306,
-  "laker": 45717,
-  "lakers</w>": 13570,
-  "lakes</w>": 9265,
-  "lakeshore</w>": 42595,
-  "lakeside</w>": 30915,
-  "lakewood</w>": 36417,
-  "lakh</w>": 21487,
-  "lakhs</w>": 37985,
-  "lakings</w>": 34289,
-  "lakota</w>": 45510,
-  "laksh": 24937,
-  "lakshmi</w>": 39682,
-  "lal": 12301,
-  "lal</w>": 19430,
-  "lala</w>": 33661,
-  "lali": 21726,
-  "laliga</w>": 32383,
-  "lam": 2022,
-  "lam</w>": 5704,
-  "lama</w>": 26049,
-  "lamar": 28678,
-  "lamar</w>": 17284,
-  "lamb": 19863,
-  "lamb</w>": 10034,
-  "lambda</w>": 36687,
-  "lambert</w>": 14574,
-  "lambeth</w>": 43410,
-  "lambo</w>": 45464,
-  "lamborgh": 18709,
-  "lamborghini</w>": 19462,
-  "lambs</w>": 30361,
-  "lame</w>": 23192,
-  "lamin": 22337,
-  "laminated</w>": 49079,
-  "lamo": 41461,
-  "lamont</w>": 46719,
-  "lamp": 26700,
-  "lamp</w>": 10725,
-  "lampard</w>": 39989,
-  "lamps</w>": 23424,
-  "lan": 1193,
-  "lan</w>": 4872,
-  "lana</w>": 15406,
-  "lanapar": 47437,
-  "lanaparrilla</w>": 47819,
-  "lanc": 11872,
-  "lanca": 15694,
-  "lancashire</w>": 20939,
-  "lancaster</w>": 16446,
-  "lance": 26025,
-  "lance</w>": 11609,
-  "lancer</w>": 38195,
-  "lancers</w>": 46392,
-  "lancia</w>": 48698,
-  "lancs</w>": 47540,
-  "land": 1567,
-  "land</w>": 973,
-  "lande</w>": 36556,
-  "landed</w>": 9873,
-  "lander": 37247,
-  "lander</w>": 9666,
-  "landers</w>": 20019,
-  "landfall</w>": 38465,
-  "landfill</w>": 34947,
-  "landia</w>": 41384,
-  "landing</w>": 8292,
-  "landings</w>": 46104,
-  "landlord</w>": 28938,
-  "landlords</w>": 35283,
-  "landmark</w>": 15208,
-  "landmarks</w>": 30393,
-  "lando": 25463,
-  "lando</w>": 7065,
-  "landon</w>": 32748,
-  "landrover</w>": 38125,
-  "landry</w>": 36137,
-  "lands": 40223,
-  "lands</w>": 2961,
-  "landsc": 4384,
-  "landscape": 21123,
-  "landscape</w>": 5727,
-  "landscapephotography</w>": 28125,
-  "landscapes</w>": 15344,
-  "landscaping</w>": 25642,
-  "landslide</w>": 31954,
-  "lane": 25534,
-  "lane</w>": 3980,
-  "lanes</w>": 10345,
-  "laney</w>": 38552,
-  "lang": 7969,
-  "lang</w>": 8578,
-  "lange</w>": 32021,
-  "langford</w>": 45615,
-  "langley</w>": 28595,
-  "langu": 4095,
-  "language": 46103,
-  "language</w>": 4781,
-  "languages</w>": 13527,
-  "lani</w>": 22964,
-  "lanka</w>": 16221,
-  "lankan</w>": 40531,
-  "lannister</w>": 49056,
-  "lans": 43550,
-  "lansing</w>": 30805,
-  "lant</w>": 44504,
-  "lanta</w>": 44768,
-  "lantern</w>": 17185,
-  "lanterns</w>": 33676,
-  "lantic": 32601,
-  "lantic</w>": 27678,
-  "lants</w>": 38425,
-  "lanyard</w>": 46808,
-  "lao": 32475,
-  "lao</w>": 29521,
-  "laos</w>": 34353,
-  "lap": 7213,
-  "lap</w>": 8639,
-  "lapd</w>": 32557,
-  "lapel</w>": 47961,
-  "lapland</w>": 43633,
-  "laps</w>": 18711,
-  "lapse</w>": 33365,
-  "laptop</w>": 10464,
-  "laptops</w>": 32189,
-  "laq</w>": 45026,
-  "lar": 1592,
-  "lar</w>": 1652,
-  "lara</w>": 19435,
-  "lard</w>": 40347,
-  "lare": 22415,
-  "laredo</w>": 48427,
-  "large": 40234,
-  "large</w>": 3638,
-  "largely</w>": 21418,
-  "larger</w>": 12567,
-  "largest</w>": 4960,
-  "largo</w>": 44161,
-  "lari": 34676,
-  "lark": 43164,
-  "lark</w>": 23536,
-  "larkin</w>": 34769,
-  "larry": 18642,
-  "larry</w>": 8242,
-  "lars</w>": 8669,
-  "larsen</w>": 39721,
-  "larson</w>": 27973,
-  "larvae</w>": 44840,
-  "las": 8295,
-  "las</w>": 2552,
-  "lasag": 31210,
-  "lasagna</w>": 40683,
-  "lasalle</w>": 43866,
-  "laser": 25607,
-  "laser</w>": 9885,
-  "lasers</w>": 37060,
-  "lash": 31995,
-  "lash</w>": 18480,
-  "lashes</w>": 21015,
-  "lass": 24203,
-  "lass</w>": 18263,
-  "lassic</w>": 39430,
-  "last": 10600,
-  "last</w>": 952,
-  "lasted</w>": 25711,
-  "lasting</w>": 13434,
-  "lastnight</w>": 30159,
-  "lasts</w>": 20141,
-  "lasvegas</w>": 17789,
-  "lat": 1591,
-  "lat</w>": 28437,
-  "lata</w>": 47114,
-  "latam</w>": 40012,
-  "late": 13267,
-  "late</w>": 2325,
-  "latel": 49035,
-  "lately</w>": 11824,
-  "latepost</w>": 48328,
-  "later": 24109,
-  "later</w>": 2941,
-  "lateral</w>": 26646,
-  "latest": 46805,
-  "latest</w>": 2053,
-  "latex</w>": 27520,
-  "lati": 16357,
-  "latimes</w>": 43356,
-  "latin": 16695,
-  "latin</w>": 9888,
-  "latina</w>": 27936,
-  "latino": 45734,
-  "latino</w>": 19470,
-  "latinos</w>": 40233,
-  "lation</w>": 6191,
-  "latitude</w>": 37392,
-  "lative</w>": 15719,
-  "lator</w>": 9291,
-  "lators</w>": 28278,
-  "latt": 33561,
-  "latte</w>": 17697,
-  "latter</w>": 26198,
-  "latvia</w>": 30034,
-  "lau": 1853,
-  "lau</w>": 23090,
-  "lauderdale</w>": 24352,
-  "laugh": 4969,
-  "laugh</w>": 6332,
-  "laughed</w>": 16746,
-  "laughing</w>": 8301,
-  "laughs</w>": 14322,
-  "laughter</w>": 10722,
-  "laun": 2944,
-  "launch": 31168,
-  "launch</w>": 2904,
-  "launched</w>": 6125,
-  "launcher</w>": 35782,
-  "launches</w>": 7023,
-  "launching</w>": 8565,
-  "laundering</w>": 34079,
-  "laundry</w>": 14797,
-  "laur": 15256,
-  "laura": 17091,
-  "laura</w>": 7763,
-  "laure": 16932,
-  "laureate</w>": 25675,
-  "laurel": 43370,
-  "laurel</w>": 19942,
-  "lauren": 10456,
-  "lauren</w>": 7634,
-  "laurence</w>": 29353,
-  "laurent</w>": 23226,
-  "laurie</w>": 20326,
-  "laus": 38895,
-  "laus</w>": 28111,
-  "lause</w>": 22269,
-  "laut": 47688,
-  "lav": 13767,
-  "lav</w>": 26919,
-  "lava</w>": 16765,
-  "laven": 15047,
-  "lavender</w>": 16033,
-  "laver": 28188,
-  "lavish</w>": 35443,
-  "law": 2874,
-  "law</w>": 2606,
-  "lawful</w>": 33845,
-  "lawler</w>": 47862,
-  "lawless</w>": 39468,
-  "lawmaker</w>": 37169,
-  "lawmakers</w>": 21190,
-  "lawn": 31675,
-  "lawn</w>": 11024,
-  "lawrence": 32221,
-  "lawrence</w>": 8820,
-  "laws</w>": 7306,
-  "lawson</w>": 22152,
-  "lawsuit</w>": 14346,
-  "lawsuits</w>": 44331,
-  "lawyer</w>": 10552,
-  "lawyers</w>": 14232,
-  "lax": 17750,
-  "lax</w>": 10024,
-  "lay": 7205,
-  "lay</w>": 6360,
-  "laye": 25995,
-  "layer</w>": 12411,
-  "layered</w>": 28520,
-  "layers</w>": 15900,
-  "laying</w>": 12333,
-  "layla</w>": 45050,
-  "layne</w>": 48721,
-  "layo": 21738,
-  "layoffs</w>": 29019,
-  "layout</w>": 17314,
-  "lays</w>": 19546,
-  "layton</w>": 38061,
-  "laz": 18806,
-  "lazar": 33075,
-  "lazarus</w>": 49126,
-  "laze</w>": 41559,
-  "lazer</w>": 43735,
-  "lazio</w>": 33010,
-  "lazy": 32614,
-  "lazy</w>": 10753,
-  "lb": 21958,
-  "lb</w>": 7422,
-  "lbc</w>": 37694,
-  "lbj</w>": 45683,
-  "lbloggers</w>": 48695,
-  "lbs</w>": 8912,
-  "lc": 9584,
-  "lc</w>": 7225,
-  "lcd</w>": 21356,
-  "lcfc</w>": 25339,
-  "lcs</w>": 32279,
-  "ld": 1431,
-  "ld</w>": 730,
-  "lder</w>": 6945,
-  "lders</w>": 43221,
-  "ldn": 37050,
-  "ldn</w>": 2517,
-  "ldnont</w>": 25827,
-  "ldnt</w>": 21690,
-  "ldr</w>": 37279,
-  "lds</w>": 31235,
-  "le": 534,
-  "le</w>": 579,
-  "lea": 2246,
-  "lea</w>": 13324,
-  "leach</w>": 35527,
-  "lead": 1328,
-  "lead</w>": 2784,
-  "leader": 14806,
-  "leader</w>": 3236,
-  "leaderboard</w>": 34519,
-  "leaders</w>": 3546,
-  "leadership": 36876,
-  "leadership</w>": 3652,
-  "leading</w>": 3833,
-  "leads</w>": 5335,
-  "leaf": 9377,
-  "leaf</w>": 7232,
-  "leaflet</w>": 38289,
-  "leaflets</w>": 39014,
-  "leafs</w>": 16688,
-  "leafy</w>": 42616,
-  "leagu": 13317,
-  "league": 16635,
-  "league</w>": 2313,
-  "leagueof": 26022,
-  "leagueoflegends</w>": 31737,
-  "leagues</w>": 19888,
-  "leah": 24350,
-  "leah</w>": 19308,
-  "leak": 42900,
-  "leak</w>": 15489,
-  "leaked</w>": 14353,
-  "leaking</w>": 34097,
-  "leaks</w>": 15657,
-  "leam": 39606,
-  "lean": 12447,
-  "lean</w>": 8208,
-  "leaning</w>": 24411,
-  "leanne</w>": 41448,
-  "leans</w>": 9357,
-  "leap": 29129,
-  "leap</w>": 15392,
-  "leaps</w>": 48080,
-  "lear": 1146,
-  "lear</w>": 27663,
-  "learn": 16959,
-  "learn</w>": 1768,
-  "learned</w>": 6048,
-  "learnenglish</w>": 49040,
-  "learner</w>": 33547,
-  "learners</w>": 19572,
-  "learning": 22632,
-  "learning</w>": 2378,
-  "learns</w>": 17569,
-  "learnt</w>": 18959,
-  "leary</w>": 36051,
-  "lease": 49041,
-  "lease</w>": 14394,
-  "leased</w>": 48352,
-  "leash</w>": 36192,
-  "leasing</w>": 29160,
-  "least</w>": 3651,
-  "leather": 21417,
-  "leather</w>": 5862,
-  "leau</w>": 26498,
-  "leav": 3198,
-  "leave": 37512,
-  "leave</w>": 3258,
-  "leaves</w>": 5579,
-  "leaving</w>": 5216,
-  "leban": 9360,
-  "lebanese</w>": 23819,
-  "lebanon</w>": 11695,
-  "leblanc</w>": 46381,
-  "lebo": 44184,
-  "lebron</w>": 11971,
-  "lebu": 47030,
-  "lec": 944,
-  "lec</w>": 35374,
-  "leche</w>": 46197,
-  "lect</w>": 45392,
-  "lection</w>": 18252,
-  "lections</w>": 30995,
-  "lecture</w>": 6617,
-  "lecturer</w>": 23795,
-  "lectures</w>": 21118,
-  "led": 8767,
-  "led</w>": 912,
-  "ledge": 23647,
-  "ledge</w>": 4815,
-  "ledger</w>": 26817,
-  "leds</w>": 36763,
-  "lee": 6224,
-  "lee</w>": 2592,
-  "leed": 16483,
-  "leed</w>": 40206,
-  "leeds": 38900,
-  "leeds</w>": 7420,
-  "leek</w>": 34585,
-  "leeminho</w>": 37831,
-  "leen": 35311,
-  "leen</w>": 15940,
-  "leep": 48875,
-  "leep</w>": 10191,
-  "lees": 29324,
-  "lees</w>": 34056,
-  "lef": 9152,
-  "left": 33949,
-  "left</w>": 1823,
-  "leftist</w>": 35143,
-  "lefto": 17437,
-  "leftover</w>": 26414,
-  "leftovers</w>": 28481,
-  "lefty</w>": 33935,
-  "leg": 1211,
-  "leg</w>": 4924,
-  "lega</w>": 38674,
-  "legacy": 44108,
-  "legacy</w>": 6447,
-  "legal": 17743,
-  "legal</w>": 3998,
-  "legalization</w>": 40584,
-  "legalize</w>": 42921,
-  "legally</w>": 14152,
-  "legate</w>": 46009,
-  "lege</w>": 8065,
-  "legen": 6105,
-  "legend": 5480,
-  "legend</w>": 3539,
-  "legendary</w>": 6053,
-  "legendof": 47915,
-  "legends</w>": 6396,
-  "leges</w>": 15356,
-  "legg": 18474,
-  "legg</w>": 32511,
-  "legged</w>": 25830,
-  "leggings</w>": 22895,
-  "leggo</w>": 43441,
-  "legi": 11183,
-  "legion": 35503,
-  "legion</w>": 14525,
-  "legis": 7200,
-  "legislat": 16486,
-  "legislation</w>": 14143,
-  "legislative</w>": 16755,
-  "legislators</w>": 31572,
-  "legislature</w>": 22309,
-  "legit</w>": 12563,
-  "legitim": 17656,
-  "legitimate</w>": 24491,
-  "lego": 28117,
-  "lego</w>": 7849,
-  "legos</w>": 45359,
-  "legs</w>": 7072,
-  "leh": 19105,
-  "leh</w>": 29298,
-  "lehead</w>": 28090,
-  "lehigh</w>": 34527,
-  "lehman</w>": 46094,
-  "lei": 15828,
-  "lei</w>": 21830,
-  "leia</w>": 32723,
-  "leic": 35073,
-  "leica</w>": 30206,
-  "leice": 10026,
-  "leicester": 28795,
-  "leicester</w>": 11510,
-  "leicestershire</w>": 45358,
-  "leigh": 14849,
-  "leigh</w>": 9292,
-  "leighton</w>": 30782,
-  "leila</w>": 41342,
-  "lein": 20026,
-  "lein</w>": 28551,
-  "leinster</w>": 32242,
-  "leip": 36401,
-  "leipzig</w>": 41860,
-  "leis": 13133,
-  "leisure</w>": 15849,
-  "leit": 35446,
-  "leith</w>": 34141,
-  "lek": 26626,
-  "lek</w>": 36535,
-  "lel</w>": 46623,
-  "lele</w>": 26075,
-  "lem": 10213,
-  "lem</w>": 8428,
-  "leman</w>": 24478,
-  "lemans</w>": 26694,
-  "lement</w>": 9693,
-  "lements</w>": 15833,
-  "lemme</w>": 23318,
-  "lemon": 12272,
-  "lemon</w>": 7184,
-  "lemonade</w>": 18884,
-  "lemons</w>": 29576,
-  "lemore</w>": 41147,
-  "len": 3687,
-  "len</w>": 2159,
-  "lena</w>": 22038,
-  "lend": 45397,
-  "lend</w>": 24987,
-  "lender</w>": 44734,
-  "lenders</w>": 42443,
-  "lending</w>": 20209,
-  "lene</w>": 17628,
-  "leness</w>": 36551,
-  "leng": 7861,
-  "length</w>": 10130,
-  "lengths</w>": 31858,
-  "lengthy</w>": 32624,
-  "lenin</w>": 41760,
-  "lennon</w>": 18360,
-  "lennox</w>": 45748,
-  "lenny": 48448,
-  "lenny</w>": 30124,
-  "leno</w>": 45357,
-  "lenovo</w>": 25886,
-  "lens</w>": 8666,
-  "lenses</w>": 21264,
-  "lent": 20943,
-  "lent</w>": 22605,
-  "lentil</w>": 41511,
-  "lentils</w>": 44269,
-  "leo": 24008,
-  "leo</w>": 8312,
-  "leon": 6581,
-  "leon</w>": 9763,
-  "leonard": 43849,
-  "leonard</w>": 13142,
-  "leonardo</w>": 20282,
-  "leone</w>": 22864,
-  "leop": 11234,
-  "leopard</w>": 15931,
-  "leopards</w>": 40996,
-  "leopold</w>": 45501,
-  "lep": 48884,
-  "leppard</w>": 41656,
-  "lepre": 45641,
-  "ler": 5587,
-  "ler</w>": 1803,
-  "lero": 15067,
-  "lerosis</w>": 35455,
-  "leroy</w>": 32441,
-  "lers</w>": 6247,
-  "lery</w>": 38184,
-  "les": 4339,
-  "les</w>": 840,
-  "lesbian</w>": 17419,
-  "lesbians</w>": 43182,
-  "lesh</w>": 32282,
-  "lesley</w>": 25506,
-  "lesli": 13649,
-  "leslie</w>": 16244,
-  "lesn": 39568,
-  "lesnar</w>": 42223,
-  "less": 3242,
-  "less</w>": 1285,
-  "lesser</w>": 20369,
-  "lessly</w>": 13103,
-  "lessness</w>": 24847,
-  "lesson</w>": 7714,
-  "lessons</w>": 7199,
-  "lest": 24372,
-  "lest</w>": 6794,
-  "lester": 23157,
-  "lester</w>": 24023,
-  "lestwe": 29726,
-  "lestweforget</w>": 30273,
-  "let": 1898,
-  "let</w>": 1094,
-  "leta</w>": 34319,
-  "lete</w>": 34078,
-  "letes</w>": 6815,
-  "leth": 30022,
-  "leth</w>": 42462,
-  "lethal</w>": 21905,
-  "lethbridge</w>": 48390,
-  "leti</w>": 34176,
-  "letics</w>": 14504,
-  "letit": 46423,
-  "leto</w>": 32203,
-  "leton": 37674,
-  "leton</w>": 7462,
-  "lets": 10448,
-  "lets</w>": 3243,
-  "letsgo": 16967,
-  "letsgo</w>": 29789,
-  "letstalk</w>": 35591,
-  "lett": 22428,
-  "lett</w>": 9778,
-  "lette": 41798,
-  "lette</w>": 10301,
-  "letter": 15567,
-  "letter</w>": 4861,
-  "lettering</w>": 26382,
-  "letterman</w>": 38447,
-  "letters</w>": 9181,
-  "letting</w>": 9510,
-  "letto</w>": 35449,
-  "lettu": 17933,
-  "lettuce</w>": 18573,
-  "leu": 15691,
-  "leuke": 31031,
-  "leukemia</w>": 32097,
-  "leum</w>": 21571,
-  "leur</w>": 45806,
-  "lev": 17022,
-  "lev</w>": 29950,
-  "levan": 42543,
-  "leve": 36271,
-  "level": 21682,
-  "level</w>": 2931,
-  "leveled</w>": 48453,
-  "levels</w>": 6295,
-  "leven": 44792,
-  "leven</w>": 34729,
-  "lever": 20178,
-  "lever</w>": 23094,
-  "leverage</w>": 24030,
-  "leveraging</w>": 37948,
-  "levi": 25630,
-  "levi</w>": 19113,
-  "leviathan</w>": 41736,
-  "levin</w>": 36949,
-  "levine</w>": 26594,
-  "levit": 22715,
-  "levy</w>": 17147,
-  "lew": 5063,
-  "lew</w>": 25329,
-  "lewan": 48349,
-  "lewd</w>": 45241,
-  "lewes</w>": 40431,
-  "lewi": 19589,
-  "lewis": 22043,
-  "lewis</w>": 6020,
-  "lewisham": 37385,
-  "lewisham</w>": 47633,
-  "lewishamilton</w>": 42960,
-  "lewood</w>": 37951,
-  "lex": 6586,
-  "lex</w>": 9658,
-  "lexa</w>": 48259,
-  "lexi": 44231,
-  "lexi</w>": 24679,
-  "lexington</w>": 22308,
-  "lexus</w>": 20694,
-  "ley": 2565,
-  "ley</w>": 1066,
-  "leye</w>": 37061,
-  "leys": 45609,
-  "leys</w>": 14834,
-  "leyton</w>": 46573,
-  "lez</w>": 26442,
-  "lf": 33960,
-  "lf</w>": 22078,
-  "lfc": 37826,
-  "lfc</w>": 8267,
-  "lfw</w>": 28514,
-  "lg": 4546,
-  "lg</w>": 11368,
-  "lga</w>": 39348,
-  "lgb": 25401,
-  "lgbt": 11743,
-  "lgbt</w>": 9592,
-  "lgbti</w>": 42730,
-  "lgbtq": 47625,
-  "lgbtq</w>": 14939,
-  "lgm</w>": 39389,
-  "lh": 27794,
-  "lh</w>": 31159,
-  "lhp</w>": 45092,
-  "lhs</w>": 33170,
-  "li": 554,
-  "li</w>": 4250,
-  "lia": 26118,
-  "lia</w>": 6964,
-  "liability</w>": 29139,
-  "liaison</w>": 39294,
-  "liam": 5258,
-  "liam</w>": 7167,
-  "lian</w>": 18058,
-  "liance</w>": 40864,
-  "liar</w>": 16334,
-  "liars</w>": 23863,
-  "lias</w>": 46021,
-  "lib": 10249,
-  "lib</w>": 13345,
-  "libby</w>": 36832,
-  "libdems</w>": 40869,
-  "liber": 3425,
-  "liberal": 48032,
-  "liberal</w>": 9985,
-  "liberalism</w>": 40018,
-  "liberals</w>": 15981,
-  "liberated</w>": 38690,
-  "liberation</w>": 19507,
-  "liberia</w>": 32208,
-  "libertarian</w>": 35067,
-  "liberties</w>": 48623,
-  "liberty": 23397,
-  "liberty</w>": 8480,
-  "libr": 2856,
-  "libra</w>": 43038,
-  "librarian</w>": 25148,
-  "librarians</w>": 37806,
-  "libraries</w>": 14277,
-  "library": 25713,
-  "library</w>": 3519,
-  "libre": 49210,
-  "libre</w>": 31681,
-  "libs</w>": 26401,
-  "liby": 36390,
-  "libya</w>": 16417,
-  "libyan</w>": 42319,
-  "lic": 2508,
-  "lic</w>": 3376,
-  "lice</w>": 45691,
-  "licen": 6706,
-  "licence</w>": 20550,
-  "license</w>": 10337,
-  "licensed</w>": 18752,
-  "licenses</w>": 36414,
-  "licensing</w>": 24219,
-  "lich": 23979,
-  "lich</w>": 25875,
-  "lick": 29197,
-  "lick</w>": 17541,
-  "licking</w>": 33013,
-  "licks</w>": 42117,
-  "lics</w>": 44552,
-  "lid": 39369,
-  "lid</w>": 17678,
-  "lidge</w>": 45558,
-  "lido</w>": 35683,
-  "lids</w>": 41609,
-  "lie": 6570,
-  "lie</w>": 2538,
-  "lieb</w>": 45387,
-  "liebe</w>": 37749,
-  "lied</w>": 6486,
-  "lief</w>": 38428,
-  "lien</w>": 45716,
-  "lier</w>": 3626,
-  "liers</w>": 19303,
-  "lies": 37236,
-  "lies</w>": 3205,
-  "liest</w>": 14020,
-  "liet</w>": 41107,
-  "lieu": 20401,
-  "lieu</w>": 35313,
-  "lieutenant</w>": 22538,
-  "lif": 16456,
-  "life": 2666,
-  "life</w>": 970,
-  "lifeat": 27801,
-  "lifeboat</w>": 37404,
-  "lifecycle</w>": 49171,
-  "lifein": 48447,
-  "lifeis": 24824,
-  "lifeisgood</w>": 46433,
-  "lifel": 15025,
-  "lifeline</w>": 38438,
-  "lifelong</w>": 21358,
-  "lifeof": 36061,
-  "lifesaving</w>": 48016,
-  "lifespan</w>": 49257,
-  "lifestyle": 46512,
-  "lifestyle</w>": 7037,
-  "lifestyles</w>": 48521,
-  "lifetime": 48737,
-  "lifetime</w>": 9107,
-  "liff</w>": 34404,
-  "liffe</w>": 38942,
-  "lift": 33146,
-  "lift</w>": 6779,
-  "lifted</w>": 16783,
-  "lifter</w>": 38555,
-  "lifting</w>": 10857,
-  "lifts</w>": 18291,
-  "lig": 19915,
-  "lig</w>": 38493,
-  "liga</w>": 16802,
-  "ligam": 31077,
-  "ligament</w>": 48705,
-  "ligan</w>": 27962,
-  "ligans</w>": 42133,
-  "ligh": 7510,
-  "light": 3885,
-  "light</w>": 1395,
-  "lighted</w>": 18404,
-  "lighten</w>": 32717,
-  "lightening</w>": 28170,
-  "lighter</w>": 14102,
-  "lighthouse</w>": 13717,
-  "lighting</w>": 5799,
-  "lightly</w>": 26878,
-  "lightning</w>": 7756,
-  "lightroom</w>": 41454,
-  "lights</w>": 3073,
-  "lightweight</w>": 16278,
-  "ligu": 42920,
-  "ligue</w>": 29196,
-  "lik": 4831,
-  "lik</w>": 18495,
-  "like": 9175,
-  "like</w>": 789,
-  "liked</w>": 7112,
-  "likefor": 48444,
-  "likeli": 40666,
-  "likelihood</w>": 48158,
-  "likely</w>": 5256,
-  "liken": 36084,
-  "likes</w>": 4724,
-  "liking</w>": 16810,
-  "lil": 6012,
-  "lil</w>": 4461,
-  "lilac</w>": 33647,
-  "lili": 26686,
-  "lili</w>": 48411,
-  "lilies</w>": 38110,
-  "lillard</w>": 47016,
-  "lille</w>": 38705,
-  "lilli": 40920,
-  "lillian</w>": 41563,
-  "lilly": 47825,
-  "lilly</w>": 21815,
-  "lily": 23803,
-  "lily</w>": 10647,
-  "lim": 2377,
-  "lim</w>": 17204,
-  "lima</w>": 17589,
-  "limb": 27061,
-  "limb</w>": 32363,
-  "limbo</w>": 46179,
-  "limbs</w>": 34886,
-  "lime": 17385,
-  "lime</w>": 11193,
-  "limel": 48658,
-  "limer": 16915,
-  "limerick</w>": 19501,
-  "limestone</w>": 27272,
-  "limit": 18933,
-  "limit</w>": 9973,
-  "limitations</w>": 32730,
-  "limited": 49229,
-  "limited</w>": 3472,
-  "limiting</w>": 35812,
-  "limitless</w>": 35833,
-  "limits</w>": 11966,
-  "limo</w>": 33166,
-  "limous": 47287,
-  "limpopo</w>": 47175,
-  "lin": 1254,
-  "lin</w>": 2424,
-  "lina</w>": 26110,
-  "lincol": 6239,
-  "lincoln": 16957,
-  "lincoln</w>": 7454,
-  "lincolnshire</w>": 29014,
-  "lind": 6492,
-  "linda": 45410,
-  "linda</w>": 10760,
-  "linden": 44076,
-  "linden</w>": 34832,
-  "lindo</w>": 38467,
-  "lindsay": 29846,
-  "lindsay</w>": 16858,
-  "lindsey": 29475,
-  "lindsey</w>": 18128,
-  "line": 3674,
-  "line</w>": 1148,
-  "linear</w>": 19816,
-  "linebacker</w>": 29848,
-  "lined</w>": 11842,
-  "lineman</w>": 31501,
-  "linen</w>": 20032,
-  "liner</w>": 11618,
-  "liners</w>": 24463,
-  "lines</w>": 3418,
-  "liness</w>": 28633,
-  "lineup</w>": 7316,
-  "lineups</w>": 33589,
-  "ling": 4851,
-  "ling</w>": 1358,
-  "linger</w>": 29593,
-  "lingerie</w>": 18473,
-  "lingering</w>": 46494,
-  "lings</w>": 11390,
-  "lington": 27673,
-  "lington</w>": 9002,
-  "lingu": 34449,
-  "lingui": 29942,
-  "linguistic</w>": 46847,
-  "linguistics</w>": 48651,
-  "lining</w>": 11589,
-  "link": 18433,
-  "link</w>": 2468,
-  "linke": 15088,
-  "linked</w>": 11059,
-  "linkedin</w>": 16302,
-  "linkin": 40287,
-  "linkin</w>": 49291,
-  "linking</w>": 23296,
-  "links</w>": 8113,
-  "linn</w>": 37431,
-  "lino": 41189,
-  "lino</w>": 34995,
-  "lins</w>": 6567,
-  "linson</w>": 15401,
-  "linton</w>": 36479,
-  "linus</w>": 49303,
-  "linux</w>": 14061,
-  "lio</w>": 19395,
-  "lion": 8872,
-  "lion</w>": 5567,
-  "lionel</w>": 19441,
-  "lions</w>": 7093,
-  "lip": 8630,
-  "lip</w>": 8546,
-  "lipo": 38795,
-  "lipp": 38074,
-  "lips</w>": 8847,
-  "lipse</w>": 10351,
-  "lipstick</w>": 15618,
-  "liqu": 6310,
-  "lique": 32680,
-  "liqueur</w>": 43612,
-  "liqui": 33817,
-  "liquid": 18366,
-  "liquid</w>": 10158,
-  "liquidity</w>": 42812,
-  "liquor</w>": 17828,
-  "lis": 7297,
-  "lis</w>": 12749,
-  "lisa": 25236,
-  "lisa</w>": 7424,
-  "lisam": 43072,
-  "lisboa</w>": 40052,
-  "lisbon</w>": 17708,
-  "lish": 12658,
-  "lish</w>": 2354,
-  "lished</w>": 22620,
-  "lisle</w>": 21529,
-  "lism</w>": 34390,
-  "liss": 45489,
-  "liss</w>": 35433,
-  "lisse</w>": 49309,
-  "list": 1734,
-  "list</w>": 1998,
-  "lista</w>": 37812,
-  "listed</w>": 6457,
-  "listen": 17454,
-  "listen</w>": 2672,
-  "listened</w>": 15347,
-  "listener</w>": 34819,
-  "listeners</w>": 26901,
-  "listening</w>": 3656,
-  "listens</w>": 25912,
-  "lister</w>": 45109,
-  "listing</w>": 8145,
-  "listings</w>": 21987,
-  "liston</w>": 48041,
-  "lists</w>": 12281,
-  "lit": 2213,
-  "lit</w>": 4350,
-  "lita</w>": 30100,
-  "lite": 29273,
-  "lite</w>": 13694,
-  "litecoin</w>": 39063,
-  "liter": 3085,
-  "liter</w>": 34904,
-  "literacy</w>": 12841,
-  "literal</w>": 24269,
-  "literally</w>": 4719,
-  "literary</w>": 13586,
-  "literature</w>": 11072,
-  "litfest</w>": 40369,
-  "lith": 37005,
-  "lithium</w>": 22794,
-  "litho": 31088,
-  "lithograph</w>": 49022,
-  "lithu": 21045,
-  "lithuania</w>": 27068,
-  "liti": 24292,
-  "litigation</w>": 31769,
-  "lito</w>": 47381,
-  "litre</w>": 25786,
-  "litres</w>": 39919,
-  "litt": 1216,
-  "litt</w>": 47583,
-  "litter": 45431,
-  "litter</w>": 17118,
-  "litters</w>": 45300,
-  "little": 7024,
-  "little</w>": 1274,
-  "littlemix</w>": 29731,
-  "littlest</w>": 48969,
-  "litur": 36830,
-  "litz</w>": 30357,
-  "liu</w>": 20466,
-  "liv": 13895,
-  "liv</w>": 19901,
-  "livan</w>": 12785,
-  "live": 3215,
-  "live</w>": 1064,
-  "lived</w>": 8867,
-  "livel": 17973,
-  "liveli": 26566,
-  "livelihood</w>": 46497,
-  "livelihoods</w>": 47716,
-  "lively</w>": 19663,
-  "liveme</w>": 35396,
-  "livemusic</w>": 15688,
-  "liven": 41057,
-  "liveon": 22815,
-  "livepd": 38742,
-  "livepd</w>": 31899,
-  "liver": 4755,
-  "liver</w>": 12639,
-  "liverpool": 29778,
-  "liverpool</w>": 5366,
-  "livery</w>": 23248,
-  "lives</w>": 3247,
-  "livesmatter</w>": 20348,
-  "livestock</w>": 22079,
-  "livestream</w>": 16844,
-  "livetweet</w>": 38546,
-  "livin</w>": 28061,
-  "living": 10965,
-  "living</w>": 2815,
-  "livingston</w>": 30551,
-  "lix</w>": 45068,
-  "liz": 8632,
-  "liz</w>": 12242,
-  "liza</w>": 28787,
-  "lizard</w>": 17221,
-  "lizards</w>": 41991,
-  "lizasober": 44487,
-  "lizasoberano</w>": 45076,
-  "lizz": 34430,
-  "lizzie</w>": 29530,
-  "lizzy</w>": 32306,
-  "lj": 34211,
-  "lj</w>": 32273,
-  "lju": 44562,
-  "lk": 39110,
-  "lk</w>": 26596,
-  "lka</w>": 21881,
-  "ll": 1657,
-  "ll</w>": 865,
-  "lla</w>": 15419,
-  "llama</w>": 36679,
-  "llan": 17281,
-  "llan</w>": 38728,
-  "lland": 31150,
-  "llc</w>": 17161,
-  "lle": 26550,
-  "lle</w>": 29732,
-  "llen": 41197,
-  "ller</w>": 7722,
-  "llers</w>": 26426,
-  "lli": 47015,
-  "lli</w>": 13368,
-  "llis</w>": 25518,
-  "lll</w>": 27177,
-  "llll": 34874,
-  "llll</w>": 43485,
-  "llo</w>": 19293,
-  "lloy": 10092,
-  "lloyd": 33339,
-  "lloyd</w>": 12400,
-  "llp</w>": 28042,
-  "lls</w>": 40535,
-  "lly</w>": 26379,
-  "lm": 6981,
-  "lm</w>": 15282,
-  "lma": 4493,
-  "lmao</w>": 5121,
-  "lmaoo</w>": 32623,
-  "lmaooo</w>": 33362,
-  "lmaoooo</w>": 45232,
-  "lmfa": 8928,
-  "lmfao</w>": 11068,
-  "lmfaooo</w>": 47658,
-  "lmp</w>": 43575,
-  "lms</w>": 30381,
-  "ln": 31644,
-  "ln</w>": 18654,
-  "lng</w>": 22339,
-  "lnp</w>": 39679,
-  "lo": 549,
-  "lo</w>": 2982,
-  "loa</w>": 39678,
-  "load": 4515,
-  "load</w>": 2834,
-  "loaded</w>": 6756,
-  "loader</w>": 28492,
-  "loading</w>": 9975,
-  "loads</w>": 8691,
-  "loaf": 26467,
-  "loaf</w>": 18273,
-  "loan": 28431,
-  "loan</w>": 8176,
-  "loans</w>": 14206,
-  "lob": 11197,
-  "lob</w>": 46606,
-  "lobal</w>": 34574,
-  "lobb": 27698,
-  "lobby</w>": 12449,
-  "lobbying</w>": 36047,
-  "lobe</w>": 46325,
-  "lobes</w>": 24148,
-  "lobo</w>": 39323,
-  "lobos</w>": 36586,
-  "lobster</w>": 13793,
-  "loc": 1378,
-  "loc</w>": 25826,
-  "local": 9202,
-  "local</w>": 2029,
-  "localized</w>": 49399,
-  "locally</w>": 15603,
-  "locals</w>": 15041,
-  "locate</w>": 20490,
-  "located</w>": 5677,
-  "location</w>": 4372,
-  "locations</w>": 9580,
-  "loch": 20188,
-  "loch</w>": 14101,
-  "lock": 7201,
-  "lock</w>": 4381,
-  "lockdown</w>": 35636,
-  "locke</w>": 29698,
-  "locked</w>": 8371,
-  "locker</w>": 14053,
-  "lockhart</w>": 48642,
-  "lockheed</w>": 36637,
-  "locking</w>": 19978,
-  "locks</w>": 13212,
-  "lockscreen</w>": 42439,
-  "loco</w>": 25555,
-  "locom": 22798,
-  "locomo": 46147,
-  "locomotive</w>": 30439,
-  "locu": 33635,
-  "locust</w>": 46237,
-  "lod": 45650,
-  "lodge</w>": 10504,
-  "loe": 30113,
-  "loe</w>": 25484,
-  "loeb</w>": 49334,
-  "lof": 15011,
-  "loff</w>": 31008,
-  "loft": 35707,
-  "loft</w>": 20049,
-  "loftus</w>": 46689,
-  "log": 3239,
-  "log</w>": 7383,
-  "logan": 20655,
-  "logan</w>": 10569,
-  "logans</w>": 40752,
-  "logg</w>": 43002,
-  "logged</w>": 31457,
-  "logger</w>": 39089,
-  "logging</w>": 24444,
-  "logi": 3177,
-  "logia</w>": 48031,
-  "logic</w>": 10670,
-  "logical</w>": 4791,
-  "logically</w>": 24782,
-  "logie</w>": 33445,
-  "logies</w>": 7378,
-  "login</w>": 31121,
-  "logist</w>": 7407,
-  "logistics</w>": 14755,
-  "logists</w>": 12233,
-  "logne</w>": 19911,
-  "logo": 31480,
-  "logo</w>": 5750,
-  "logos</w>": 24879,
-  "logs</w>": 22745,
-  "logue</w>": 27785,
-  "logy": 22721,
-  "logy</w>": 1659,
-  "loh": 49129,
-  "loh</w>": 37983,
-  "loi</w>": 35128,
-  "loid</w>": 31408,
-  "loin</w>": 21760,
-  "loire</w>": 46040,
-  "lois</w>": 27040,
-  "lok": 19908,
-  "lok</w>": 23575,
-  "loki</w>": 24435,
-  "lol": 10721,
-  "lol</w>": 1824,
-  "lola</w>": 19065,
-  "lolita</w>": 42615,
-  "lolla": 45483,
-  "lolli": 27906,
-  "lollipop</w>": 34605,
-  "lolly</w>": 48264,
-  "lolo": 16895,
-  "lolo</w>": 37481,
-  "lolol</w>": 25280,
-  "lololol</w>": 34738,
-  "lolz</w>": 35260,
-  "lom": 9279,
-  "loma</w>": 42889,
-  "lombar": 25493,
-  "lombard</w>": 46461,
-  "lombardi</w>": 44346,
-  "lomond</w>": 48941,
-  "lon": 1235,
-  "lon</w>": 6507,
-  "london": 6835,
-  "london</w>": 1789,
-  "londonmarathon</w>": 35018,
-  "lone": 22220,
-  "lone</w>": 13576,
-  "lonel": 28872,
-  "loneliness</w>": 30310,
-  "lonely": 34509,
-  "lonely</w>": 12368,
-  "lonelyplanet</w>": 44984,
-  "long": 4792,
-  "long</w>": 1538,
-  "longe": 25793,
-  "longer</w>": 5349,
-  "longest</w>": 10731,
-  "longevity</w>": 35354,
-  "longh": 20286,
-  "longhorn</w>": 41047,
-  "longhorns</w>": 38295,
-  "longing</w>": 38482,
-  "longlive": 47840,
-  "longs</w>": 43618,
-  "longtime</w>": 19685,
-  "loo": 731,
-  "loo</w>": 11804,
-  "look": 8874,
-  "look</w>": 1012,
-  "lookalike</w>": 38307,
-  "lookbook</w>": 39184,
-  "looked</w>": 4913,
-  "lookin</w>": 11254,
-  "looking": 36898,
-  "looking</w>": 1312,
-  "lookout</w>": 18330,
-  "looks</w>": 1606,
-  "lool</w>": 33125,
-  "loom": 37440,
-  "loom</w>": 17199,
-  "looming</w>": 35384,
-  "looms</w>": 30550,
-  "loon</w>": 28222,
-  "loona</w>": 48137,
-  "looney</w>": 45315,
-  "looo": 20902,
-  "loool</w>": 36016,
-  "looool</w>": 47038,
-  "looooo": 31484,
-  "loop": 19606,
-  "loop</w>": 10408,
-  "loops</w>": 21625,
-  "loos</w>": 45723,
-  "loose": 43815,
-  "loose</w>": 9786,
-  "loot</w>": 21518,
-  "lop": 36734,
-  "lop</w>": 17066,
-  "lopes</w>": 49269,
-  "lopez</w>": 12982,
-  "lor": 2179,
-  "lor</w>": 11335,
-  "lord": 18896,
-  "lord</w>": 3486,
-  "lorde</w>": 35483,
-  "lords</w>": 14969,
-  "lore": 12880,
-  "lore</w>": 27218,
-  "loren": 13602,
-  "loren</w>": 33398,
-  "lorenzo</w>": 21342,
-  "lores</w>": 34510,
-  "loretta</w>": 40863,
-  "lori": 20164,
-  "lori</w>": 23095,
-  "lorna</w>": 46316,
-  "lorraine</w>": 27602,
-  "lorry</w>": 31354,
-  "los": 32217,
-  "los</w>": 3087,
-  "losange": 14037,
-  "losangeles</w>": 14638,
-  "lose": 43318,
-  "lose</w>": 5354,
-  "loser</w>": 18168,
-  "losers</w>": 23201,
-  "loses</w>": 14263,
-  "losing</w>": 7918,
-  "loss": 34761,
-  "loss</w>": 4327,
-  "losses</w>": 16909,
-  "lost": 14258,
-  "lost</w>": 2624,
-  "lostdog</w>": 48482,
-  "lot": 5132,
-  "lot</w>": 1954,
-  "loth</w>": 43625,
-  "lothian</w>": 31360,
-  "lothing</w>": 42058,
-  "lotion</w>": 25260,
-  "lotr</w>": 34165,
-  "lots</w>": 2958,
-  "lott</w>": 42854,
-  "lotta</w>": 29125,
-  "lotte": 16535,
-  "lotte</w>": 7274,
-  "lottery</w>": 16975,
-  "lottie</w>": 48517,
-  "lotto</w>": 28265,
-  "lotus</w>": 13824,
-  "lou": 2207,
-  "lou</w>": 9745,
-  "loubout": 38369,
-  "loud": 22884,
-  "loud</w>": 7464,
-  "louder</w>": 25904,
-  "loudest</w>": 49214,
-  "loudly</w>": 39256,
-  "lough": 21927,
-  "lough</w>": 28045,
-  "loughborough</w>": 49153,
-  "loui": 42173,
-  "louie</w>": 25790,
-  "louis": 8916,
-  "louis</w>": 4459,
-  "louisa</w>": 40011,
-  "louise": 32275,
-  "louise</w>": 13076,
-  "louisi": 12187,
-  "louisiana</w>": 12946,
-  "louisville</w>": 13860,
-  "louisvuitton</w>": 44911,
-  "loun": 6466,
-  "lounge</w>": 7141,
-  "lounging</w>": 45430,
-  "lour": 29383,
-  "lourdes</w>": 45071,
-  "louvre</w>": 36995,
-  "lov": 8923,
-  "lov</w>": 21229,
-  "lova</w>": 37394,
-  "lovable</w>": 38565,
-  "lovato</w>": 18960,
-  "love": 2618,
-  "love</w>": 793,
-  "lovecraft</w>": 42405,
-  "loved</w>": 3249,
-  "lovefl</w>": 38884,
-  "loveher</w>": 38306,
-  "lovehim</w>": 45733,
-  "loveis": 30931,
-  "loveisland</w>": 30970,
-  "loveislove</w>": 43603,
-  "loveit</w>": 24764,
-  "lovel": 8999,
-  "lovelies</w>": 31412,
-  "lovelondon</w>": 46493,
-  "lovely": 33250,
-  "lovely</w>": 2165,
-  "lovemy": 20041,
-  "lovemyjob</w>": 40130,
-  "loven": 33754,
-  "lover": 28508,
-  "lover</w>": 7168,
-  "lovers": 48416,
-  "lovers</w>": 5973,
-  "loves": 37773,
-  "loves</w>": 3925,
-  "lovethe": 33040,
-  "lovethem</w>": 48298,
-  "lovett</w>": 47095,
-  "lovewins</w>": 47687,
-  "loveyou": 39226,
-  "loveyou</w>": 25964,
-  "loveyour": 26462,
-  "lovin": 33442,
-  "lovin</w>": 16354,
-  "loving": 29568,
-  "loving</w>": 3721,
-  "lovingly</w>": 44100,
-  "low": 1049,
-  "low</w>": 1042,
-  "loway</w>": 16104,
-  "lowe</w>": 17910,
-  "lowed</w>": 22733,
-  "lowell</w>": 24458,
-  "lower": 32578,
-  "lower</w>": 4909,
-  "lowered</w>": 34968,
-  "lowering</w>": 35261,
-  "lowers</w>": 36398,
-  "lowes</w>": 38515,
-  "lowest</w>": 12098,
-  "lowing</w>": 8283,
-  "lowkey</w>": 29481,
-  "lowry</w>": 27444,
-  "lows</w>": 4406,
-  "lox</w>": 41725,
-  "loy": 4519,
-  "loy</w>": 23929,
-  "loyal</w>": 13032,
-  "loyalty</w>": 14686,
-  "loyd</w>": 44212,
-  "loyed</w>": 29279,
-  "loyment</w>": 18307,
-  "loyola</w>": 32569,
-  "lp": 22282,
-  "lp</w>": 6392,
-  "lpc</w>": 44092,
-  "lpg</w>": 47905,
-  "lpga</w>": 34295,
-  "lps</w>": 32094,
-  "lr": 20572,
-  "lr</w>": 7041,
-  "lrt</w>": 32996,
-  "ls": 19051,
-  "ls</w>": 1268,
-  "lsd</w>": 43766,
-  "lse": 46127,
-  "lse</w>": 43886,
-  "lsu": 35428,
-  "lsu</w>": 15672,
-  "lt": 13642,
-  "lt</w>": 3333,
-  "ltc</w>": 27664,
-  "ltd</w>": 6802,
-  "lte</w>": 25202,
-  "lton</w>": 14237,
-  "lu": 664,
-  "lu</w>": 9657,
-  "lub": 22469,
-  "lub</w>": 11836,
-  "lubbock</w>": 37660,
-  "lubric": 40963,
-  "luc": 7013,
-  "luc</w>": 28014,
-  "luca</w>": 21053,
-  "lucas": 23425,
-  "lucas</w>": 10225,
-  "lucci</w>": 45849,
-  "luce</w>": 46217,
-  "lucent</w>": 41552,
-  "lucer": 36042,
-  "luch": 36646,
-  "lucha</w>": 38449,
-  "luci": 8787,
-  "lucia</w>": 22290,
-  "luciano</w>": 46365,
-  "lucid</w>": 44540,
-  "lucie</w>": 39461,
-  "lucifer": 46224,
-  "lucifer</w>": 27687,
-  "lucille</w>": 47454,
-  "lucin": 27523,
-  "luck": 9647,
-  "luck</w>": 2820,
-  "luckiest</w>": 42469,
-  "luckily</w>": 20100,
-  "lucknow</w>": 29407,
-  "lucky": 20495,
-  "lucky</w>": 4133,
-  "lucrative</w>": 41485,
-  "lucy": 17262,
-  "lucy</w>": 10120,
-  "lud": 14288,
-  "lude</w>": 28755,
-  "ludo": 40141,
-  "ludwig</w>": 30633,
-  "lue</w>": 45199,
-  "luf": 25264,
-  "lufc</w>": 17818,
-  "luffy</w>": 39047,
-  "lufthan": 37769,
-  "lufthansa</w>": 39145,
-  "lug</w>": 45521,
-  "lugg": 19673,
-  "luggage</w>": 20138,
-  "luhan</w>": 20975,
-  "luigi</w>": 28444,
-  "luis": 25231,
-  "luis</w>": 11339,
-  "luiz</w>": 39633,
-  "lujah</w>": 31639,
-  "luk</w>": 21652,
-  "luka</w>": 34878,
-  "lukaku</w>": 37177,
-  "lukas</w>": 37941,
-  "luke": 11970,
-  "luke</w>": 5652,
-  "lul": 20861,
-  "lulla": 37019,
-  "lullaby</w>": 41676,
-  "lulu": 32052,
-  "lulu</w>": 26935,
-  "lum": 18112,
-  "lum</w>": 5997,
-  "lumb": 36231,
-  "lumber": 27421,
-  "lumber</w>": 34692,
-  "lumi": 41437,
-  "lumia</w>": 31912,
-  "lumin": 15867,
-  "luminous</w>": 37913,
-  "lump</w>": 38704,
-  "lumpur</w>": 34411,
-  "lun": 3221,
-  "lun</w>": 49390,
-  "luna</w>": 14425,
-  "lunar</w>": 16043,
-  "lunatic</w>": 45874,
-  "lunch": 10954,
-  "lunch</w>": 2772,
-  "luncheon</w>": 15104,
-  "lunches</w>": 29705,
-  "lunchtime</w>": 14330,
-  "lund": 30975,
-  "lund</w>": 20181,
-  "lunes</w>": 35648,
-  "lung": 38479,
-  "lung</w>": 16271,
-  "lungs</w>": 27366,
-  "lup</w>": 27413,
-  "lupita</w>": 49352,
-  "lupus</w>": 36017,
-  "lur": 14439,
-  "lure</w>": 31376,
-  "lures</w>": 46747,
-  "lurking</w>": 29941,
-  "lus</w>": 7158,
-  "lusci": 38004,
-  "luscious</w>": 39935,
-  "lush": 40382,
-  "lush</w>": 16263,
-  "lust": 42071,
-  "lust</w>": 12662,
-  "lustre</w>": 46673,
-  "luther": 21848,
-  "luther</w>": 17208,
-  "lutheran</w>": 27341,
-  "luton</w>": 28288,
-  "luv": 24726,
-  "luv</w>": 8502,
-  "lux": 3439,
-  "lux</w>": 16704,
-  "luxe</w>": 26373,
-  "luxemb": 21314,
-  "luxembour": 22712,
-  "luxembourg</w>": 23949,
-  "luxu": 16112,
-  "luxurious</w>": 17292,
-  "luxury": 12083,
-  "luxury</w>": 5247,
-  "luxurytravel</w>": 29010,
-  "luz</w>": 41008,
-  "lv": 10862,
-  "lv</w>": 11184,
-  "lvl</w>": 31256,
-  "lw": 40515,
-  "lw</w>": 35115,
-  "lx</w>": 30789,
-  "ly": 1251,
-  "ly</w>": 597,
-  "lydia</w>": 24316,
-  "lyf</w>": 43688,
-  "lyfe</w>": 30787,
-  "lyft</w>": 32944,
-  "lying</w>": 7175,
-  "lyk</w>": 46376,
-  "lyle</w>": 36828,
-  "lym": 20087,
-  "lyme</w>": 31167,
-  "lymph": 30073,
-  "lymphoma</w>": 37648,
-  "lyn": 3957,
-  "lyn</w>": 5054,
-  "lynch": 31586,
-  "lynch</w>": 13560,
-  "lynd": 33416,
-  "lynda</w>": 42959,
-  "lyndon</w>": 48518,
-  "lynn": 25303,
-  "lynn</w>": 10667,
-  "lynne</w>": 26900,
-  "lynx</w>": 28941,
-  "lyon</w>": 17176,
-  "lyons</w>": 29453,
-  "lyric": 24366,
-  "lyric</w>": 21291,
-  "lyrical</w>": 33358,
-  "lyricist</w>": 49013,
-  "lyrics</w>": 9551,
-  "lyrix</w>": 46814,
-  "lys</w>": 45054,
-  "lyte</w>": 40059,
-  "lywood</w>": 4012,
-  "lz</w>": 30818,
-  "lé": 39641,
-  "m": 76,
-  "m</w>": 332,
-  "ma": 577,
-  "ma</w>": 1226,
-  "maa": 42774,
-  "maa</w>": 21555,
-  "maan</w>": 33668,
-  "maar</w>": 48927,
-  "maas": 43332,
-  "mab</w>": 35639,
-  "mabel</w>": 47319,
-  "mable</w>": 23001,
-  "mably</w>": 40082,
-  "mabu": 44682,
-  "mac": 1961,
-  "mac</w>": 4945,
-  "macar": 21558,
-  "macaroni</w>": 41824,
-  "macarthur</w>": 36785,
-  "macau": 43984,
-  "macau</w>": 33370,
-  "macbeth</w>": 36321,
-  "macbook</w>": 20617,
-  "macdonald</w>": 20315,
-  "mace</w>": 44869,
-  "maced": 21102,
-  "macedonia</w>": 27071,
-  "macfar": 45374,
-  "macfarlane</w>": 48825,
-  "mach": 2637,
-  "mach</w>": 35091,
-  "machado</w>": 42318,
-  "mache": 43220,
-  "macher</w>": 29330,
-  "machi": 41783,
-  "machin": 17972,
-  "machine": 11539,
-  "machine</w>": 4169,
-  "machinelearning</w>": 13621,
-  "machinery</w>": 21858,
-  "machines</w>": 11108,
-  "machining</w>": 45562,
-  "macho</w>": 43977,
-  "macht</w>": 45225,
-  "macin": 36533,
-  "mack": 8590,
-  "mack</w>": 12145,
-  "mackay</w>": 32497,
-  "macken": 48057,
-  "mackenzie</w>": 22351,
-  "mackerel</w>": 35002,
-  "mackin": 26010,
-  "macklemore</w>": 41758,
-  "macle": 33843,
-  "maclean</w>": 47137,
-  "macleod</w>": 43684,
-  "macmillan": 36364,
-  "macmillan</w>": 35191,
-  "macon</w>": 35818,
-  "macos</w>": 45469,
-  "macqu": 38365,
-  "macquarie</w>": 40858,
-  "macro": 20891,
-  "macro</w>": 16626,
-  "macron</w>": 24859,
-  "macs</w>": 46548,
-  "macy</w>": 17113,
-  "macys</w>": 47652,
-  "mad": 2740,
-  "mad</w>": 3843,
-  "mada</w>": 37799,
-  "madagas": 24758,
-  "madagascar</w>": 25744,
-  "madam": 33634,
-  "madam</w>": 27538,
-  "madame</w>": 23507,
-  "madd": 31717,
-  "madden</w>": 19093,
-  "maddie": 39959,
-  "maddie</w>": 18875,
-  "maddow</w>": 32644,
-  "maddy</w>": 31734,
-  "made": 5388,
-  "made</w>": 1105,
-  "madein": 13670,
-  "madeira</w>": 33810,
-  "madel": 34532,
-  "madele": 29831,
-  "madeleine</w>": 33264,
-  "madeline</w>": 33905,
-  "madewith": 28627,
-  "madewithunity</w>": 43190,
-  "madhu": 23000,
-  "madhuri": 38346,
-  "madhuridixit</w>": 43889,
-  "madhya</w>": 48302,
-  "madi": 6527,
-  "madi</w>": 27282,
-  "madison": 24798,
-  "madison</w>": 8791,
-  "madmen</w>": 45452,
-  "madness</w>": 8755,
-  "madon": 44852,
-  "madonna</w>": 14137,
-  "madra": 27416,
-  "madras</w>": 42046,
-  "madre</w>": 42130,
-  "madri": 5529,
-  "madrid</w>": 5909,
-  "mads</w>": 41201,
-  "madu": 34913,
-  "madurai</w>": 49159,
-  "maduro</w>": 32912,
-  "mae": 16898,
-  "mae</w>": 17339,
-  "maer": 47088,
-  "maestro</w>": 24140,
-  "mafi": 47164,
-  "mafia</w>": 14890,
-  "mag": 1191,
-  "mag</w>": 4508,
-  "maga</w>": 8694,
-  "magaz": 2974,
-  "magazine</w>": 3113,
-  "magazines</w>": 22253,
-  "magdal": 29673,
-  "mage": 46568,
-  "mage</w>": 10923,
-  "magee</w>": 43872,
-  "magenta</w>": 38091,
-  "magento</w>": 42442,
-  "mages</w>": 31059,
-  "maggi": 29611,
-  "maggie": 41443,
-  "maggie</w>": 14524,
-  "maggio</w>": 49087,
-  "magh": 45555,
-  "magi": 19270,
-  "magic": 13061,
-  "magic</w>": 3778,
-  "magical": 36408,
-  "magical</w>": 7823,
-  "magician</w>": 26368,
-  "magin": 42678,
-  "maging</w>": 41310,
-  "magn": 10290,
-  "magna</w>": 34076,
-  "magne": 9921,
-  "magnesium</w>": 36379,
-  "magnet</w>": 18240,
-  "magnetic</w>": 13838,
-  "magnets</w>": 33030,
-  "magni": 24297,
-  "magnific": 9725,
-  "magnificent</w>": 10724,
-  "magnitude</w>": 22955,
-  "magno": 21184,
-  "magnolia</w>": 27123,
-  "magnu": 45198,
-  "magnum</w>": 23496,
-  "magnus</w>": 26275,
-  "magpie</w>": 45973,
-  "mags</w>": 31021,
-  "maguire</w>": 26470,
-  "mah": 7206,
-  "mah</w>": 10801,
-  "maha": 12237,
-  "maha</w>": 33983,
-  "mahal</w>": 22301,
-  "mahan": 45191,
-  "mahar": 11635,
-  "maharaj</w>": 38488,
-  "maharashtra</w>": 19328,
-  "mahat": 32434,
-  "mahatma</w>": 40530,
-  "mahe": 15756,
-  "maher</w>": 29826,
-  "mahesh": 33448,
-  "mahesh</w>": 22095,
-  "mahi": 32529,
-  "mahi</w>": 38659,
-  "mahin": 24113,
-  "mahindra</w>": 31285,
-  "mahmoud</w>": 41361,
-  "mahog": 30804,
-  "mahogany</w>": 33084,
-  "mahon": 45864,
-  "mahon</w>": 20371,
-  "mahone</w>": 26634,
-  "mai": 7138,
-  "mai</w>": 14595,
-  "maia</w>": 46585,
-  "maid": 23148,
-  "maid</w>": 10226,
-  "maidan</w>": 37346,
-  "maiden": 37011,
-  "maiden</w>": 13809,
-  "maids</w>": 27305,
-  "maidstone</w>": 44395,
-  "mail": 10478,
-  "mail</w>": 2614,
-  "mailbox</w>": 31482,
-  "mailed</w>": 42314,
-  "mailing</w>": 26680,
-  "mailonline</w>": 26021,
-  "mails</w>": 45213,
-  "main": 3904,
-  "main</w>": 2623,
-  "maine": 18639,
-  "maine</w>": 7836,
-  "mained": 15609,
-  "mainedcm</w>": 15845,
-  "mainland</w>": 27629,
-  "mainly</w>": 15280,
-  "mains</w>": 33656,
-  "mainst": 42102,
-  "mainstream</w>": 18034,
-  "maintain</w>": 12954,
-  "maintained</w>": 26665,
-  "maintaining</w>": 21964,
-  "maintains</w>": 38335,
-  "mainten": 9399,
-  "maintenance</w>": 9610,
-  "mais</w>": 28153,
-  "maisie</w>": 47355,
-  "maison": 37065,
-  "maison</w>": 27626,
-  "mait": 26387,
-  "maize</w>": 35386,
-  "maj": 2948,
-  "maj</w>": 28723,
-  "maja</w>": 47498,
-  "maje": 9852,
-  "majestic</w>": 15335,
-  "majesty</w>": 21188,
-  "major": 8008,
-  "major</w>": 3350,
-  "majority</w>": 10508,
-  "majors</w>": 23597,
-  "mak": 11271,
-  "mak</w>": 19253,
-  "makar": 42242,
-  "makati</w>": 39402,
-  "make": 3232,
-  "make</w>": 1078,
-  "makeaw": 45859,
-  "makeinindia</w>": 42739,
-  "makeit": 26308,
-  "maken": 47093,
-  "makeover</w>": 17926,
-  "maker": 15196,
-  "maker</w>": 4836,
-  "makers</w>": 6577,
-  "makerspace</w>": 42400,
-  "makes</w>": 2088,
-  "makeshift</w>": 43274,
-  "makeu": 41707,
-  "makeup": 26402,
-  "makeup</w>": 5853,
-  "makeyourown": 34090,
-  "makeyourownlane</w>": 34823,
-  "maki</w>": 34514,
-  "makin": 43096,
-  "makin</w>": 22407,
-  "making": 17976,
-  "making</w>": 1665,
-  "makk": 39852,
-  "maknae</w>": 44118,
-  "mako</w>": 49061,
-  "mal": 1662,
-  "mal</w>": 3796,
-  "mala</w>": 28290,
-  "malade</w>": 36928,
-  "malaga</w>": 35395,
-  "malala</w>": 41137,
-  "malam</w>": 48956,
-  "malaria</w>": 24929,
-  "malawi</w>": 23405,
-  "malay": 5323,
-  "malay</w>": 42430,
-  "malayalam</w>": 34860,
-  "malaysi": 39668,
-  "malaysia</w>": 8146,
-  "malaysian</w>": 21136,
-  "malbec</w>": 47741,
-  "malcol": 12645,
-  "malcolm</w>": 14139,
-  "maldives</w>": 16795,
-  "male": 11326,
-  "male</w>": 2801,
-  "males</w>": 14426,
-  "malhotra</w>": 28866,
-  "mali": 6701,
-  "mali</w>": 22669,
-  "malia</w>": 46714,
-  "malibu</w>": 21723,
-  "malicious</w>": 42147,
-  "malign": 41122,
-  "malik</w>": 11394,
-  "mall": 10984,
-  "mall</w>": 6220,
-  "mallorca</w>": 28082,
-  "mallory</w>": 38968,
-  "malls</w>": 36447,
-  "malm": 44071,
-  "malnutrition</w>": 41153,
-  "malo</w>": 43518,
-  "malone</w>": 19852,
-  "maloney</w>": 45897,
-  "mals</w>": 25370,
-  "malt</w>": 21688,
-  "malta</w>": 16989,
-  "maltese</w>": 39838,
-  "malvern</w>": 39356,
-  "malware</w>": 24153,
-  "mam": 4404,
-  "mam</w>": 17778,
-  "mama</w>": 7133,
-  "mamamoo</w>": 36012,
-  "mamas</w>": 42395,
-  "mamba</w>": 44189,
-  "mament</w>": 45690,
-  "mami</w>": 43858,
-  "mamma</w>": 34893,
-  "mammal</w>": 33385,
-  "mammals</w>": 31987,
-  "mammoth</w>": 28022,
-  "man": 723,
-  "man</w>": 786,
-  "mana": 29467,
-  "mana</w>": 15837,
-  "manafort</w>": 40108,
-  "manag": 1830,
-  "manage</w>": 9770,
-  "managed</w>": 7928,
-  "management</w>": 3319,
-  "manager</w>": 3898,
-  "managerial</w>": 44261,
-  "managers</w>": 12853,
-  "manages</w>": 29699,
-  "managing</w>": 10892,
-  "manas": 44188,
-  "manatee</w>": 46558,
-  "mance</w>": 2324,
-  "manchester": 24424,
-  "manchester</w>": 4651,
-  "mancini</w>": 47681,
-  "mancity</w>": 31538,
-  "mancrush": 36945,
-  "mancrushmonday</w>": 39307,
-  "mand": 4325,
-  "mand</w>": 27244,
-  "mandala</w>": 41106,
-  "mandarin</w>": 26455,
-  "mandate</w>": 26228,
-  "mandatory</w>": 19934,
-  "mandel": 34960,
-  "mandela</w>": 16280,
-  "mandi": 38961,
-  "mandir</w>": 35815,
-  "mando</w>": 34006,
-  "mands</w>": 12340,
-  "mandu</w>": 31440,
-  "mandy": 41505,
-  "mandy</w>": 24302,
-  "mane": 44471,
-  "mane</w>": 16044,
-  "maneu": 33216,
-  "mang": 25616,
-  "mang</w>": 31096,
-  "manga</w>": 11873,
-  "mangal": 43027,
-  "manger</w>": 48251,
-  "mango": 43831,
-  "mango</w>": 13962,
-  "mangrove</w>": 47180,
-  "manhatt": 10152,
-  "manhattan</w>": 10961,
-  "mani": 5654,
-  "mani</w>": 10718,
-  "mania</w>": 8435,
-  "maniac</w>": 31814,
-  "maniacs</w>": 41444,
-  "manian</w>": 40077,
-  "manic": 23017,
-  "manic</w>": 37825,
-  "manicure</w>": 33637,
-  "manife": 14379,
-  "manifest</w>": 34422,
-  "manifestation</w>": 48348,
-  "manifesto</w>": 20907,
-  "manil": 38827,
-  "manila</w>": 10969,
-  "manipu": 40261,
-  "manipul": 19237,
-  "manipulation</w>": 30277,
-  "manipur</w>": 47757,
-  "manish": 41759,
-  "manish</w>": 44720,
-  "manit": 15693,
-  "manitoba</w>": 20342,
-  "manjaro</w>": 41489,
-  "mankind</w>": 24155,
-  "manly</w>": 25194,
-  "mann": 19396,
-  "mann</w>": 4783,
-  "manne": 30160,
-  "manned</w>": 26139,
-  "mannequin</w>": 43388,
-  "manner</w>": 20700,
-  "manners</w>": 31693,
-  "manning</w>": 15996,
-  "manny": 37054,
-  "manny</w>": 20933,
-  "mano": 15753,
-  "mano</w>": 24016,
-  "manoj</w>": 41146,
-  "manor": 41830,
-  "manor</w>": 13614,
-  "mans": 28422,
-  "mans</w>": 7746,
-  "mansfield</w>": 25543,
-  "manship</w>": 15460,
-  "mansion</w>": 13404,
-  "manslaughter</w>": 48632,
-  "manson</w>": 26715,
-  "mant": 25122,
-  "mant</w>": 27037,
-  "manta</w>": 41431,
-  "mantis</w>": 39946,
-  "mantle</w>": 22159,
-  "mantra</w>": 25162,
-  "manu": 3404,
-  "manu</w>": 25799,
-  "manual</w>": 12268,
-  "manuel": 29171,
-  "manuel</w>": 9567,
-  "manufac": 5105,
-  "manufacture</w>": 27741,
-  "manufactured</w>": 24010,
-  "manufacturer</w>": 15668,
-  "manufacturers</w>": 18763,
-  "manufacturing</w>": 8386,
-  "manure</w>": 47907,
-  "manus</w>": 28181,
-  "manuscript</w>": 24365,
-  "manuscripts</w>": 40765,
-  "manutd</w>": 20994,
-  "many": 28484,
-  "many</w>": 1346,
-  "manziel</w>": 40637,
-  "mao": 47447,
-  "mao</w>": 25605,
-  "maori</w>": 43400,
-  "map": 25180,
-  "map</w>": 3923,
-  "maple": 21980,
-  "maple</w>": 10570,
-  "mapleleafs</w>": 41257,
-  "mapoli</w>": 28768,
-  "mapp</w>": 36894,
-  "mapped</w>": 41596,
-  "mapping</w>": 15231,
-  "maps</w>": 8765,
-  "mapu": 42082,
-  "mar": 675,
-  "mar</w>": 3091,
-  "mara</w>": 15655,
-  "marais</w>": 47913,
-  "maran": 44732,
-  "marath": 16274,
-  "marathi</w>": 34102,
-  "marathon": 40764,
-  "marathon</w>": 5910,
-  "marau": 38475,
-  "marbella</w>": 36182,
-  "marble": 45429,
-  "marble</w>": 13071,
-  "marbles</w>": 42931,
-  "marc": 14054,
-  "marc</w>": 9075,
-  "marca</w>": 38242,
-  "marcel": 17726,
-  "marcel</w>": 24652,
-  "marcelo</w>": 35939,
-  "march": 10638,
-  "march</w>": 2227,
-  "marche</w>": 36173,
-  "marched</w>": 37976,
-  "marches</w>": 38249,
-  "marchfor": 31721,
-  "marching</w>": 15082,
-  "marchmadness</w>": 28555,
-  "marci": 36698,
-  "marcia</w>": 41075,
-  "marck</w>": 47733,
-  "marco": 24719,
-  "marco</w>": 10924,
-  "marcor": 39945,
-  "marcorubio</w>": 41143,
-  "marcos</w>": 21696,
-  "marcu": 20760,
-  "marcus": 48955,
-  "marcus</w>": 9895,
-  "mardi": 39728,
-  "mardi</w>": 29229,
-  "mardigras</w>": 43343,
-  "mare": 26512,
-  "mare</w>": 8870,
-  "mares</w>": 19724,
-  "marg</w>": 44014,
-  "margar": 16838,
-  "margare": 10232,
-  "margaret</w>": 12185,
-  "margarita</w>": 25958,
-  "margaritas</w>": 42679,
-  "margate</w>": 37428,
-  "margin": 19464,
-  "margin</w>": 21357,
-  "marginal</w>": 38320,
-  "margins</w>": 33763,
-  "margot</w>": 37144,
-  "mari": 2603,
-  "mari</w>": 19322,
-  "maria": 41109,
-  "maria</w>": 6595,
-  "mariachi</w>": 44299,
-  "mariah": 31214,
-  "mariah</w>": 24789,
-  "mariahcarey</w>": 36538,
-  "marian": 41129,
-  "marian</w>": 24677,
-  "mariana</w>": 44224,
-  "marianne</w>": 32214,
-  "mariano</w>": 43988,
-  "marie": 20657,
-  "marie</w>": 7864,
-  "marietta</w>": 46634,
-  "marig": 41002,
-  "marijuana</w>": 9864,
-  "maril": 14611,
-  "marilyn": 38959,
-  "marilyn</w>": 18489,
-  "marin": 8910,
-  "marin</w>": 23992,
-  "marina</w>": 12060,
-  "marinated</w>": 33406,
-  "marine": 20674,
-  "marine</w>": 5746,
-  "mariner</w>": 39972,
-  "mariners</w>": 19086,
-  "marines</w>": 15018,
-  "marino</w>": 30878,
-  "mario": 39176,
-  "mario</w>": 7600,
-  "marion": 37765,
-  "marion</w>": 18397,
-  "maris": 21512,
-  "maris</w>": 33093,
-  "marisa</w>": 42938,
-  "mariska</w>": 44703,
-  "marissa</w>": 31219,
-  "marist</w>": 48223,
-  "mariti": 13124,
-  "maritime</w>": 14331,
-  "marj": 38639,
-  "mark": 3805,
-  "mark</w>": 2110,
-  "marke": 2399,
-  "marked</w>": 12360,
-  "marker</w>": 18170,
-  "markers</w>": 23664,
-  "market": 11614,
-  "market</w>": 2196,
-  "marketer</w>": 33482,
-  "marketers</w>": 23682,
-  "marketing": 19535,
-  "marketing</w>": 2905,
-  "marketplace</w>": 18241,
-  "markets</w>": 7292,
-  "markham</w>": 39817,
-  "marking</w>": 14705,
-  "markings</w>": 41046,
-  "markle</w>": 32672,
-  "marko</w>": 38338,
-  "marks</w>": 5466,
-  "markus</w>": 33725,
-  "marl": 24922,
-  "marlborough</w>": 43515,
-  "marlene</w>": 45117,
-  "marley</w>": 16504,
-  "marlin</w>": 34275,
-  "marlins</w>": 23309,
-  "marlon</w>": 32995,
-  "marmalade</w>": 39068,
-  "marnock</w>": 48305,
-  "maro": 27029,
-  "maroon</w>": 20501,
-  "marqu": 20704,
-  "marque": 13012,
-  "marquee</w>": 27725,
-  "marquette</w>": 37624,
-  "marquez</w>": 27317,
-  "marquis</w>": 33530,
-  "marr</w>": 32871,
-  "marrake": 37125,
-  "marrakech</w>": 39006,
-  "marri": 3839,
-  "marriage": 38047,
-  "marriage</w>": 7040,
-  "marriages</w>": 38190,
-  "married</w>": 6791,
-  "marries</w>": 46283,
-  "marriott</w>": 19211,
-  "marrow</w>": 31030,
-  "marry</w>": 13288,
-  "marrying</w>": 40507,
-  "mars": 41469,
-  "mars</w>": 7496,
-  "marsden</w>": 43344,
-  "marse": 26577,
-  "marseille</w>": 30365,
-  "marsh": 9237,
-  "marsh</w>": 13505,
-  "marsha</w>": 21491,
-  "marshal</w>": 26608,
-  "marshall": 30939,
-  "marshall</w>": 9811,
-  "marshals</w>": 44175,
-  "marshes</w>": 43450,
-  "marshmal": 21069,
-  "marshmallow</w>": 28530,
-  "marshmallows</w>": 39471,
-  "mart": 2348,
-  "mart</w>": 7772,
-  "marta</w>": 32858,
-  "martens</w>": 43211,
-  "marth": 34493,
-  "martha</w>": 16427,
-  "marti": 20577,
-  "martial</w>": 17088,
-  "martialarts</w>": 35895,
-  "martian</w>": 30214,
-  "martin": 6929,
-  "martin</w>": 3690,
-  "martina</w>": 34393,
-  "martinez</w>": 13913,
-  "marting": 47570,
-  "martini</w>": 22199,
-  "martino</w>": 41675,
-  "martins</w>": 30569,
-  "marty": 9926,
-  "marty</w>": 17169,
-  "martyn</w>": 44075,
-  "martyr": 36155,
-  "martyr</w>": 26067,
-  "martyrdom</w>": 43110,
-  "martyred</w>": 39114,
-  "martyrs</w>": 24707,
-  "maru": 37413,
-  "maru</w>": 31838,
-  "marvel": 13835,
-  "marvel</w>": 5996,
-  "marvelcomics</w>": 46897,
-  "marvell": 26576,
-  "marvellous</w>": 28402,
-  "marvelous</w>": 25487,
-  "marvin</w>": 19675,
-  "marx": 30559,
-  "marx</w>": 26001,
-  "marxist</w>": 45205,
-  "mary": 5146,
-  "mary</w>": 2676,
-  "maryam": 33636,
-  "maryam</w>": 36393,
-  "maryland</w>": 11379,
-  "marys": 40905,
-  "marys</w>": 40228,
-  "mas": 5226,
-  "mas</w>": 1412,
-  "masa": 24995,
-  "masa</w>": 41868,
-  "masala</w>": 31483,
-  "masc": 23564,
-  "mascar": 46984,
-  "mascara</w>": 31635,
-  "mascot</w>": 13983,
-  "mascots</w>": 43266,
-  "mascul": 25589,
-  "masculine</w>": 48269,
-  "masculinity</w>": 40465,
-  "mase": 49128,
-  "maser": 25798,
-  "maserati</w>": 30442,
-  "mash": 12317,
-  "mash</w>": 15680,
-  "mashable</w>": 41026,
-  "mashed</w>": 27395,
-  "mashup</w>": 27079,
-  "masi": 35965,
-  "masjid</w>": 31420,
-  "mask": 19262,
-  "mask</w>": 8306,
-  "masked</w>": 25757,
-  "masking</w>": 47046,
-  "masks</w>": 19055,
-  "maslow</w>": 44359,
-  "mason": 17424,
-  "mason</w>": 9699,
-  "masonic</w>": 36491,
-  "masonry</w>": 30764,
-  "masons</w>": 37195,
-  "masqu": 26593,
-  "masquer": 29604,
-  "masquerade</w>": 36944,
-  "mass": 4636,
-  "mass</w>": 4854,
-  "massach": 14484,
-  "massachuse": 14577,
-  "massachusetts</w>": 14756,
-  "massacre</w>": 14696,
-  "massage</w>": 13055,
-  "masse": 41735,
-  "masses</w>": 22978,
-  "massey</w>": 29868,
-  "massi": 17239,
-  "massimo</w>": 45821,
-  "massive</w>": 4818,
-  "massively</w>": 34297,
-  "mast": 45916,
-  "mast</w>": 27920,
-  "master": 4534,
-  "master</w>": 3498,
-  "mastercard</w>": 40542,
-  "masterchef</w>": 34809,
-  "masterclass</w>": 17529,
-  "mastered</w>": 32616,
-  "masterful</w>": 46823,
-  "mastering</w>": 28326,
-  "mastermind</w>": 34029,
-  "masterpiece</w>": 12066,
-  "masterpieces</w>": 37596,
-  "masters</w>": 6913,
-  "mastery</w>": 34800,
-  "mastiff</w>": 42311,
-  "maswar": 47887,
-  "mat": 905,
-  "mat</w>": 9063,
-  "mata</w>": 17270,
-  "match": 7733,
-  "match</w>": 2439,
-  "matcha</w>": 32433,
-  "matchday</w>": 15947,
-  "matched</w>": 17792,
-  "matches</w>": 8609,
-  "matching</w>": 11840,
-  "matchup</w>": 19355,
-  "matchups</w>": 49162,
-  "mate": 6137,
-  "mate</w>": 2936,
-  "mated</w>": 33813,
-  "mateo</w>": 34991,
-  "mater</w>": 23724,
-  "materi": 7084,
-  "material</w>": 7118,
-  "materials</w>": 8161,
-  "maternal</w>": 26131,
-  "maternity</w>": 23894,
-  "mates</w>": 5817,
-  "math": 13277,
-  "math</w>": 6025,
-  "mathe": 8725,
-  "mathemat": 11901,
-  "mathematical</w>": 25609,
-  "mathematician</w>": 41036,
-  "mathematics</w>": 20113,
-  "mathew</w>": 36333,
-  "mathews</w>": 37120,
-  "mathi": 23014,
-  "mathieu</w>": 40417,
-  "maths</w>": 14763,
-  "mati": 12716,
-  "mati</w>": 32268,
-  "matic": 36859,
-  "matic</w>": 7900,
-  "matically</w>": 38282,
-  "matics</w>": 23634,
-  "matil": 26751,
-  "matilda</w>": 36308,
-  "matin</w>": 44849,
-  "matinee</w>": 38525,
-  "mating</w>": 34346,
-  "mation</w>": 11701,
-  "matisse</w>": 43446,
-  "mato": 13127,
-  "matologist</w>": 48842,
-  "matology</w>": 27940,
-  "matory</w>": 25519,
-  "matri": 27041,
-  "matrix</w>": 18078,
-  "mats</w>": 22259,
-  "matsu": 30242,
-  "matt": 7972,
-  "matt</w>": 3972,
-  "mattb": 42791,
-  "matte": 31237,
-  "matte</w>": 19771,
-  "mattel</w>": 35365,
-  "matteo</w>": 33120,
-  "matter": 30471,
-  "matter</w>": 3828,
-  "matters</w>": 5708,
-  "matth": 41846,
-  "matthe": 5116,
-  "matthew": 17588,
-  "matthew</w>": 7008,
-  "matthews</w>": 16739,
-  "matthi": 29853,
-  "matthias</w>": 45104,
-  "matti": 39840,
-  "mattress</w>": 23438,
-  "matty": 31233,
-  "matty</w>": 29176,
-  "matu": 40616,
-  "matur": 22897,
-  "mature</w>": 14417,
-  "maturity</w>": 28047,
-  "mau": 8134,
-  "mau</w>": 23033,
-  "maui</w>": 20463,
-  "maul": 30725,
-  "maur": 10574,
-  "maure": 25191,
-  "maureen</w>": 31723,
-  "maurice</w>": 20200,
-  "mauricio</w>": 39066,
-  "mauriti": 28406,
-  "mauritius</w>": 29305,
-  "mauro</w>": 41691,
-  "mav": 25697,
-  "maver": 16700,
-  "maverick</w>": 27425,
-  "mavericks</w>": 30092,
-  "mavs</w>": 30665,
-  "maw": 39351,
-  "maw</w>": 42271,
-  "mawards</w>": 37682,
-  "max": 4898,
-  "max</w>": 3902,
-  "maxi": 8554,
-  "maxi</w>": 23266,
-  "maxim": 19892,
-  "maxim</w>": 38574,
-  "maximize</w>": 28673,
-  "maximum</w>": 13162,
-  "maximus</w>": 44312,
-  "maxine</w>": 38468,
-  "maxwell</w>": 19611,
-  "maxx</w>": 37466,
-  "may": 1686,
-  "may</w>": 1270,
-  "maya": 45783,
-  "maya</w>": 12987,
-  "mayan</w>": 37952,
-  "maybe</w>": 3746,
-  "mayday</w>": 29957,
-  "mayer</w>": 21196,
-  "mayfair</w>": 35171,
-  "mayfield</w>": 33933,
-  "mayhem</w>": 21502,
-  "maymay": 26600,
-  "maymay</w>": 33853,
-  "maymayentrata</w>": 30480,
-  "maynard</w>": 32487,
-  "mayne</w>": 35771,
-  "mayo": 22449,
-  "mayo</w>": 11280,
-  "mayor": 15429,
-  "mayor</w>": 4676,
-  "mayoral</w>": 28983,
-  "mayorof": 43533,
-  "mayors</w>": 28501,
-  "mays</w>": 35445,
-  "maythe</w>": 42281,
-  "mayward": 45751,
-  "mayward</w>": 23519,
-  "mayweather</w>": 22774,
-  "maz": 9177,
-  "maz</w>": 36215,
-  "mazda</w>": 18506,
-  "maze</w>": 21988,
-  "mazz": 29439,
-  "mañ": 37059,
-  "mañana</w>": 39354,
-  "mb": 758,
-  "mb</w>": 3996,
-  "mba</w>": 8329,
-  "mban</w>": 46685,
-  "mbar": 44452,
-  "mbb</w>": 10736,
-  "mbc</w>": 20137,
-  "mbe": 38395,
-  "mbe</w>": 27004,
-  "mber": 5467,
-  "mber</w>": 1034,
-  "mberg</w>": 26372,
-  "mbers</w>": 5443,
-  "mbi</w>": 45347,
-  "mble": 20310,
-  "mble</w>": 4756,
-  "mbles</w>": 28693,
-  "mbling</w>": 28604,
-  "mbo": 25733,
-  "mbo</w>": 11319,
-  "mbps</w>": 44896,
-  "mbs</w>": 10370,
-  "mbta</w>": 38979,
-  "mbu</w>": 42228,
-  "mbuhari</w>": 36752,
-  "mc": 1278,
-  "mc</w>": 4126,
-  "mca": 40570,
-  "mca</w>": 14635,
-  "mcal": 28663,
-  "mcar": 43776,
-  "mcbride</w>": 35080,
-  "mcc</w>": 21192,
-  "mccabe</w>": 37628,
-  "mccaf": 47385,
-  "mccain</w>": 20397,
-  "mccall</w>": 34844,
-  "mccann</w>": 27140,
-  "mccar": 9570,
-  "mccarthy</w>": 16974,
-  "mccartney</w>": 19958,
-  "mccl": 24709,
-  "mccla": 43672,
-  "mccle": 40139,
-  "mcclure</w>": 44945,
-  "mcco": 46152,
-  "mccon": 32638,
-  "mccor": 23057,
-  "mccormack</w>": 45164,
-  "mccormick</w>": 39088,
-  "mccoy</w>": 20218,
-  "mccr": 41996,
-  "mccre": 25393,
-  "mccul": 38833,
-  "mccull": 41782,
-  "mcd</w>": 28930,
-  "mcder": 27355,
-  "mcdermott</w>": 34504,
-  "mcdon": 12171,
-  "mcdonald</w>": 10741,
-  "mcdonalds</w>": 17674,
-  "mcdonnell</w>": 34360,
-  "mcdowell</w>": 34119,
-  "mce": 26864,
-  "mcel": 28752,
-  "mcen": 47423,
-  "mcfad": 36976,
-  "mcfadden</w>": 42105,
-  "mcfar": 29020,
-  "mcfarlane</w>": 47174,
-  "mcfc</w>": 16416,
-  "mcfly</w>": 38211,
-  "mcg": 42507,
-  "mcg</w>": 27995,
-  "mcgee</w>": 29223,
-  "mcgill": 46524,
-  "mcgill</w>": 35511,
-  "mcgin": 29596,
-  "mcgowan</w>": 40462,
-  "mcgr": 25169,
-  "mcgra": 29367,
-  "mcgrath</w>": 28759,
-  "mcgraw</w>": 40950,
-  "mcgregor</w>": 19642,
-  "mcgu": 34294,
-  "mcguinness</w>": 45299,
-  "mcguire</w>": 32635,
-  "mci": 46212,
-  "mci</w>": 45491,
-  "mcil": 30481,
-  "mcin": 18770,
-  "mcintosh</w>": 45353,
-  "mcintyre</w>": 33369,
-  "mck": 6781,
-  "mckay</w>": 33611,
-  "mcke": 27424,
-  "mckee</w>": 43529,
-  "mcken": 42619,
-  "mckenna</w>": 24924,
-  "mckenzie</w>": 25502,
-  "mckin": 15437,
-  "mckinley</w>": 39891,
-  "mckinney</w>": 33554,
-  "mckinnon</w>": 48736,
-  "mckinsey</w>": 48143,
-  "mcl": 49021,
-  "mcla": 12565,
-  "mclaren": 37381,
-  "mclaren</w>": 16789,
-  "mclau": 32285,
-  "mclaughlin</w>": 35346,
-  "mcle": 25299,
-  "mclean</w>": 28666,
-  "mcleod</w>": 40259,
-  "mcm</w>": 12251,
-  "mcmahon</w>": 24026,
-  "mcmaster</w>": 42703,
-  "mcmillan</w>": 45603,
-  "mcn": 42919,
-  "mcnam": 32682,
-  "mcnamara</w>": 37506,
-  "mcne": 42545,
-  "mco</w>": 33723,
-  "mcqueen</w>": 22544,
-  "mcr": 29884,
-  "mcr</w>": 16966,
-  "mcs</w>": 27020,
-  "mcu</w>": 30403,
-  "md": 8637,
-  "md</w>": 4732,
-  "mdc": 38773,
-  "mdc</w>": 41761,
-  "mds</w>": 48746,
-  "mdt</w>": 40822,
-  "me": 613,
-  "me</w>": 614,
-  "mea": 46045,
-  "mea</w>": 17711,
-  "mead": 12134,
-  "mead</w>": 21567,
-  "meade</w>": 37218,
-  "meado": 16402,
-  "meadow": 25213,
-  "meadow</w>": 17195,
-  "meadows</w>": 17178,
-  "meal": 29662,
-  "meal</w>": 5478,
-  "meals</w>": 11229,
-  "mean": 4189,
-  "mean</w>": 3450,
-  "meand": 48015,
-  "meaning": 14586,
-  "meaning</w>": 8342,
-  "meaningful</w>": 17480,
-  "meaningless</w>": 48932,
-  "meanings</w>": 45814,
-  "means</w>": 3494,
-  "meant</w>": 8674,
-  "meantime</w>": 27499,
-  "meanwhile</w>": 9650,
-  "meas": 5867,
-  "measles</w>": 38230,
-  "measurable</w>": 48010,
-  "measure": 15261,
-  "measure</w>": 10579,
-  "measured</w>": 23154,
-  "measurement</w>": 20973,
-  "measurements</w>": 29894,
-  "measures</w>": 11936,
-  "measuring</w>": 18064,
-  "meat": 10805,
-  "meat</w>": 6480,
-  "meatball</w>": 43642,
-  "meatballs</w>": 29233,
-  "meath</w>": 37920,
-  "meatless": 48085,
-  "meats</w>": 29558,
-  "mec</w>": 27432,
-  "mecca</w>": 36095,
-  "mech</w>": 38305,
-  "mechan": 6715,
-  "mechanic</w>": 24582,
-  "mechanical</w>": 14467,
-  "mechanics</w>": 20536,
-  "mechanism</w>": 22576,
-  "mechanisms</w>": 28610,
-  "meck": 41908,
-  "med": 1948,
-  "med</w>": 2177,
-  "meda</w>": 33614,
-  "medal": 29714,
-  "medal</w>": 6974,
-  "medalist</w>": 21040,
-  "medalists</w>": 43397,
-  "medalli": 31349,
-  "medallion</w>": 43469,
-  "medallist</w>": 41472,
-  "medals</w>": 14710,
-  "mede</w>": 48225,
-  "meded</w>": 27627,
-  "medi": 1436,
-  "media": 22064,
-  "media</w>": 1895,
-  "mediac": 37490,
-  "median</w>": 30491,
-  "mediation</w>": 42829,
-  "medic": 3602,
-  "medic</w>": 35441,
-  "medicaid</w>": 25421,
-  "medical": 18432,
-  "medical</w>": 4116,
-  "medicare</w>": 23710,
-  "medication</w>": 23771,
-  "medications</w>": 37181,
-  "medicinal</w>": 28772,
-  "medicine</w>": 5616,
-  "medicines</w>": 26541,
-  "medics</w>": 46688,
-  "medieval": 38956,
-  "medieval</w>": 10789,
-  "medina</w>": 27281,
-  "mediocre</w>": 41170,
-  "medit": 19130,
-  "meditate</w>": 38039,
-  "meditation</w>": 10827,
-  "mediter": 14194,
-  "mediterran": 14358,
-  "mediterranean</w>": 15327,
-  "medium</w>": 8675,
-  "medley</w>": 24793,
-  "meds</w>": 25075,
-  "medtech</w>": 42044,
-  "medusa</w>": 44216,
-  "medway</w>": 42286,
-  "mee": 1725,
-  "mee</w>": 14075,
-  "meek</w>": 28935,
-  "meen": 37940,
-  "meen</w>": 46515,
-  "meer": 26714,
-  "meer</w>": 27555,
-  "meet": 5714,
-  "meet</w>": 1633,
-  "meeting": 48566,
-  "meeting</w>": 2071,
-  "meetings</w>": 9980,
-  "meets</w>": 5972,
-  "meetthe": 27575,
-  "meetup</w>": 15430,
-  "meg": 11500,
-  "meg</w>": 16186,
-  "mega": 15979,
-  "mega</w>": 9068,
-  "megab": 38103,
-  "megadeth</w>": 46741,
-  "megal": 37650,
-  "megam": 26073,
-  "megan": 19127,
-  "megan</w>": 11503,
-  "megap": 33624,
-  "megat": 35581,
-  "megh": 31192,
-  "meghan": 39939,
-  "meghan</w>": 18261,
-  "meh": 10512,
-  "meh</w>": 22211,
-  "mehta</w>": 25031,
-  "mei": 22564,
-  "mei</w>": 25198,
-  "meier</w>": 29812,
-  "mein": 28857,
-  "mein</w>": 21466,
-  "meister</w>": 28407,
-  "mek</w>": 44645,
-  "mel": 1902,
-  "mel</w>": 6834,
-  "mela</w>": 35032,
-  "melan": 22261,
-  "melanch": 44818,
-  "melancholy</w>": 47821,
-  "melani": 34031,
-  "melania</w>": 32796,
-  "melanie</w>": 22153,
-  "melanoma</w>": 40862,
-  "melb": 47007,
-  "melb</w>": 28980,
-  "melbourne": 28387,
-  "melbourne</w>": 6995,
-  "melee</w>": 45108,
-  "meli": 28885,
-  "melinda</w>": 46303,
-  "melis": 18913,
-  "melissa": 41866,
-  "melissa</w>": 13030,
-  "mell": 22531,
-  "mell</w>": 41583,
-  "mello</w>": 47594,
-  "mellon</w>": 45162,
-  "mellow</w>": 32034,
-  "melo": 10354,
-  "melo</w>": 22374,
-  "melodic</w>": 41877,
-  "melodies</w>": 38412,
-  "melody</w>": 19119,
-  "melon</w>": 12146,
-  "melrose</w>": 36296,
-  "melt": 22209,
-  "melt</w>": 15957,
-  "meltdown</w>": 30613,
-  "melted</w>": 23037,
-  "melting</w>": 19247,
-  "melton</w>": 46062,
-  "melts</w>": 31446,
-  "melville</w>": 46030,
-  "melvin</w>": 31544,
-  "mely</w>": 6373,
-  "mem": 4937,
-  "mem</w>": 34944,
-  "memb": 2114,
-  "member": 29566,
-  "member</w>": 1640,
-  "members</w>": 2567,
-  "membership</w>": 11562,
-  "membrane</w>": 34088,
-  "meme": 35157,
-  "meme</w>": 9169,
-  "memes</w>": 12828,
-  "memo": 15967,
-  "memo</w>": 19334,
-  "memoir</w>": 20532,
-  "memoirs</w>": 45311,
-  "memor": 1858,
-  "memorab": 26271,
-  "memorabilia</w>": 27488,
-  "memorable</w>": 13172,
-  "memorial": 16285,
-  "memorial</w>": 4642,
-  "memorialday</w>": 21598,
-  "memoriam</w>": 48191,
-  "memories</w>": 4304,
-  "memory": 44766,
-  "memory</w>": 5137,
-  "memph": 10285,
-  "memphis": 38432,
-  "memphis</w>": 11298,
-  "men": 1552,
-  "men</w>": 1656,
-  "mena</w>": 23052,
-  "menace</w>": 29949,
-  "mend": 8151,
-  "mend</w>": 46927,
-  "mendel": 49268,
-  "mendes</w>": 18060,
-  "mendez</w>": 48275,
-  "mendo": 19327,
-  "mendoza</w>": 23680,
-  "meng": 37102,
-  "meng</w>": 37450,
-  "mening": 46428,
-  "menon</w>": 38255,
-  "menopau": 34974,
-  "menopause</w>": 46026,
-  "mens": 16924,
-  "mens</w>": 10495,
-  "mensfashion</w>": 27578,
-  "menstru": 28345,
-  "menstrual</w>": 40915,
-  "menswear</w>": 18803,
-  "ment": 1585,
-  "ment</w>": 777,
-  "mental": 8611,
-  "mental</w>": 3448,
-  "mentalhealth": 20593,
-  "mentalhealth</w>": 13022,
-  "mentality</w>": 26647,
-  "mentally</w>": 14307,
-  "mentary</w>": 4468,
-  "mentation</w>": 9512,
-  "mentday</w>": 40397,
-  "mente": 40302,
-  "mente</w>": 36396,
-  "mented</w>": 9249,
-  "menting</w>": 14471,
-  "mention": 43881,
-  "mention</w>": 6762,
-  "mentioned</w>": 11948,
-  "mentioning</w>": 34290,
-  "mentions</w>": 12334,
-  "mento</w>": 30582,
-  "mentor": 45342,
-  "mentor</w>": 11642,
-  "mentoring</w>": 19610,
-  "mentors</w>": 20945,
-  "mentorship</w>": 33878,
-  "ments</w>": 1827,
-  "menu</w>": 6225,
-  "menus</w>": 33534,
-  "meo</w>": 30792,
-  "meow": 39965,
-  "meow</w>": 17246,
-  "mep</w>": 27095,
-  "mer": 1316,
-  "mer</w>": 2452,
-  "mera</w>": 20028,
-  "merc": 34357,
-  "merc</w>": 44399,
-  "mercado</w>": 45479,
-  "merce": 8409,
-  "mercede": 34959,
-  "mercedes": 26403,
-  "mercedes</w>": 10685,
-  "mercedesam": 40107,
-  "mercedesbenz</w>": 32347,
-  "mercen": 40301,
-  "mercer</w>": 21632,
-  "merch</w>": 11504,
-  "merchandi": 14954,
-  "merchandise</w>": 16808,
-  "merchandising</w>": 49196,
-  "merchant</w>": 19563,
-  "merchants</w>": 34427,
-  "merci": 23364,
-  "merci</w>": 29378,
-  "mercur": 11471,
-  "mercury": 45203,
-  "mercury</w>": 12653,
-  "mercy": 33249,
-  "mercy</w>": 10815,
-  "mere": 29657,
-  "mere</w>": 10342,
-  "mered": 24657,
-  "mered</w>": 32297,
-  "meredith</w>": 25103,
-  "merely</w>": 28718,
-  "merge</w>": 30406,
-  "merged</w>": 46492,
-  "merger</w>": 24744,
-  "merging</w>": 49256,
-  "meri": 17993,
-  "meri</w>": 36109,
-  "meria</w>": 48433,
-  "meric</w>": 27097,
-  "merica</w>": 30561,
-  "meridi": 37901,
-  "meridian</w>": 31195,
-  "mering</w>": 41060,
-  "meringue</w>": 41661,
-  "merino</w>": 42648,
-  "merit</w>": 20830,
-  "merkel</w>": 24715,
-  "merle</w>": 48586,
-  "merlin</w>": 26517,
-  "merlot</w>": 40424,
-  "mermaid</w>": 16064,
-  "mermaids</w>": 43617,
-  "mero</w>": 19097,
-  "merr": 48288,
-  "merri": 21462,
-  "merrill</w>": 47713,
-  "merritt</w>": 36462,
-  "merry": 14167,
-  "merry</w>": 5779,
-  "merrychristmas</w>": 19672,
-  "mers</w>": 4199,
-  "mersal</w>": 36711,
-  "mersey": 25248,
-  "mersey</w>": 46239,
-  "merseyside</w>": 35382,
-  "mert</w>": 48496,
-  "merton</w>": 35315,
-  "mery</w>": 40873,
-  "meryl</w>": 35787,
-  "mes": 28432,
-  "mes</w>": 3029,
-  "mesa</w>": 18956,
-  "mese</w>": 42018,
-  "mesh</w>": 15030,
-  "mesm": 18695,
-  "mesmer": 38435,
-  "mesmeri": 25985,
-  "mesmerizing</w>": 35637,
-  "meso": 25537,
-  "mesqu": 46819,
-  "mess": 2490,
-  "mess</w>": 8188,
-  "message</w>": 3918,
-  "messages</w>": 9390,
-  "messaging</w>": 23234,
-  "messe</w>": 40391,
-  "messed</w>": 23580,
-  "messenger</w>": 17389,
-  "messi": 19394,
-  "messi</w>": 11252,
-  "messiah</w>": 28737,
-  "messing</w>": 23144,
-  "messy</w>": 15987,
-  "mest</w>": 23780,
-  "mester</w>": 47349,
-  "mesut</w>": 49177,
-  "met": 5249,
-  "met</w>": 2340,
-  "meta": 14803,
-  "meta</w>": 22701,
-  "metab": 16150,
-  "metabol": 48389,
-  "metaboli": 25573,
-  "metabolic</w>": 34311,
-  "metabolism</w>": 27824,
-  "metal": 8935,
-  "metal</w>": 4044,
-  "metall": 19084,
-  "metallic</w>": 17257,
-  "metallica</w>": 24079,
-  "metals</w>": 21375,
-  "metam": 28862,
-  "metamor": 39030,
-  "metamorpho": 47601,
-  "metaph": 24189,
-  "metaphor</w>": 34233,
-  "metast": 41973,
-  "mete": 11226,
-  "meteor": 26429,
-  "meteor</w>": 26823,
-  "meteoro": 25948,
-  "meteorologist</w>": 42849,
-  "meter</w>": 10104,
-  "meters</w>": 13247,
-  "metgala</w>": 30089,
-  "meth": 21867,
-  "meth</w>": 26177,
-  "methane</w>": 37565,
-  "metho": 5770,
-  "method</w>": 10284,
-  "methodist</w>": 25165,
-  "methodo": 28488,
-  "methodology</w>": 37316,
-  "methods</w>": 12200,
-  "methyl": 48999,
-  "metmuseum</w>": 28207,
-  "meto": 25679,
-  "metoo</w>": 24722,
-  "metr": 15086,
-  "metre</w>": 27889,
-  "metres</w>": 19798,
-  "metric</w>": 19950,
-  "metrical</w>": 40704,
-  "metrics</w>": 24396,
-  "metro": 7257,
-  "metro</w>": 6784,
-  "metroid</w>": 39957,
-  "metropolis</w>": 40476,
-  "metropolitan</w>": 19013,
-  "metry</w>": 20039,
-  "mets</w>": 9633,
-  "mett</w>": 28081,
-  "metz</w>": 40506,
-  "meu</w>": 34520,
-  "mew</w>": 40368,
-  "mex": 3213,
-  "mex</w>": 18387,
-  "mexic": 31728,
-  "mexican": 37442,
-  "mexican</w>": 8186,
-  "mexicans</w>": 47729,
-  "mexico": 31834,
-  "mexico</w>": 4604,
-  "mey": 28584,
-  "mey</w>": 27777,
-  "meyer</w>": 13963,
-  "meyers</w>": 32326,
-  "mez": 30615,
-  "mez</w>": 46833,
-  "mezz": 38771,
-  "mf": 18199,
-  "mf</w>": 11067,
-  "mfa</w>": 24107,
-  "mfc</w>": 39474,
-  "mfg</w>": 21912,
-  "mfw</w>": 27309,
-  "mg": 10003,
-  "mg</w>": 8014,
-  "mga</w>": 23954,
-  "mgm</w>": 27572,
-  "mgmt</w>": 22288,
-  "mgr</w>": 31500,
-  "mgs</w>": 48073,
-  "mgt</w>": 48663,
-  "mh": 9962,
-  "mh</w>": 10834,
-  "mha</w>": 41944,
-  "mhealth</w>": 41225,
-  "mhs</w>": 28815,
-  "mhz</w>": 31550,
-  "mi": 714,
-  "mi</w>": 2251,
-  "mia</w>": 5852,
-  "miam": 31053,
-  "miami": 15106,
-  "miami</w>": 4891,
-  "mian</w>": 24792,
-  "miaw</w>": 36046,
-  "mib</w>": 48178,
-  "mic": 1213,
-  "mic</w>": 3816,
-  "mica</w>": 41551,
-  "micah</w>": 33870,
-  "mice</w>": 19030,
-  "mich": 25628,
-  "mich</w>": 23029,
-  "micha": 2083,
-  "michael": 6051,
-  "michael</w>": 2511,
-  "michaela</w>": 41897,
-  "michaeljackson</w>": 33532,
-  "michaels</w>": 23868,
-  "michal": 47144,
-  "miche": 37966,
-  "micheal</w>": 43709,
-  "michel": 5158,
-  "michel</w>": 17153,
-  "michelangelo</w>": 41245,
-  "michele</w>": 20642,
-  "michelin</w>": 26330,
-  "michelle": 19028,
-  "michelle</w>": 8625,
-  "michi": 5658,
-  "michigan": 32344,
-  "michigan</w>": 6296,
-  "mick": 15171,
-  "mick</w>": 12592,
-  "mickey": 41813,
-  "mickey</w>": 13053,
-  "micky</w>": 43011,
-  "micro": 3160,
-  "micro</w>": 11374,
-  "microbes</w>": 44671,
-  "microbi": 19496,
-  "microbial</w>": 30335,
-  "microbiology</w>": 35348,
-  "microbiome</w>": 35148,
-  "micron": 48742,
-  "microphone</w>": 24643,
-  "micropoetry</w>": 35997,
-  "microscope</w>": 29114,
-  "microscopy</w>": 38431,
-  "microsof": 42424,
-  "microsoft": 38650,
-  "microsoft</w>": 7254,
-  "microwave</w>": 24240,
-  "mics</w>": 16554,
-  "mid": 2192,
-  "mid</w>": 4734,
-  "midcentury</w>": 48988,
-  "midd": 2983,
-  "midday</w>": 23390,
-  "middle": 9849,
-  "middle</w>": 3694,
-  "middleeast</w>": 32783,
-  "middles": 29769,
-  "middlesbrough</w>": 32436,
-  "middlesex</w>": 39154,
-  "middleton</w>": 23627,
-  "middleweight</w>": 35829,
-  "midfield</w>": 28116,
-  "midfielder</w>": 13423,
-  "midget</w>": 30734,
-  "midi": 39496,
-  "midi</w>": 27326,
-  "midland</w>": 24822,
-  "midlands</w>": 18062,
-  "midnight": 35746,
-  "midnight</w>": 6302,
-  "mids</w>": 40821,
-  "midst</w>": 24752,
-  "midsummer</w>": 35234,
-  "midterm</w>": 34365,
-  "midterms</w>": 32015,
-  "midtown</w>": 26069,
-  "midway</w>": 26536,
-  "midweek</w>": 29120,
-  "midwest</w>": 16627,
-  "midwi": 44802,
-  "midwife</w>": 37681,
-  "midwives</w>": 42355,
-  "mie": 20865,
-  "mie</w>": 10555,
-  "miento</w>": 46482,
-  "mier</w>": 36490,
-  "mies</w>": 8840,
-  "miff": 49398,
-  "mig</w>": 28743,
-  "might</w>": 2727,
-  "mighty": 26632,
-  "mighty</w>": 7815,
-  "mign": 41678,
-  "migos</w>": 44640,
-  "migr": 3736,
-  "migra": 28186,
-  "migraine</w>": 35360,
-  "migrant</w>": 18902,
-  "migrants</w>": 15814,
-  "migrate</w>": 41804,
-  "migrating</w>": 43604,
-  "migration</w>": 11891,
-  "migu": 12279,
-  "miguel": 33672,
-  "miguel</w>": 14436,
-  "miho</w>": 46870,
-  "mii</w>": 39896,
-  "mik": 15096,
-  "mik</w>": 46203,
-  "mika": 28609,
-  "mika</w>": 25185,
-  "mike": 5884,
-  "mike</w>": 3178,
-  "mikel</w>": 48865,
-  "mikequind": 33508,
-  "mikequindazzi</w>": 33551,
-  "mikey": 34934,
-  "mikey</w>": 23368,
-  "mikha": 30999,
-  "mikhail</w>": 38327,
-  "miki</w>": 48863,
-  "miko</w>": 35413,
-  "miku</w>": 37703,
-  "mil": 1469,
-  "mil</w>": 12826,
-  "mila</w>": 26183,
-  "milan": 30380,
-  "milan</w>": 8552,
-  "milano</w>": 18585,
-  "milb</w>": 42248,
-  "mild</w>": 16085,
-  "mildly</w>": 49059,
-  "mile": 7833,
-  "mile</w>": 6243,
-  "mileage</w>": 30579,
-  "miler</w>": 44680,
-  "miles</w>": 3446,
-  "milestone</w>": 13485,
-  "milestones</w>": 34025,
-  "miley": 25336,
-  "miley</w>": 14321,
-  "mileycyrus</w>": 28528,
-  "milf</w>": 45386,
-  "milford</w>": 35840,
-  "mili": 16698,
-  "miliband</w>": 41440,
-  "milit": 3715,
-  "militant</w>": 33629,
-  "militants</w>": 23974,
-  "military": 24498,
-  "military</w>": 4323,
-  "militi": 46625,
-  "militia</w>": 32114,
-  "milk": 13409,
-  "milk</w>": 5205,
-  "milkshake</w>": 29066,
-  "milky": 37320,
-  "milky</w>": 21120,
-  "milkyway</w>": 43246,
-  "mill": 4221,
-  "mill</w>": 6637,
-  "milla</w>": 49381,
-  "millan": 34930,
-  "millan</w>": 22188,
-  "millar</w>": 41851,
-  "mille</w>": 34066,
-  "millen": 48501,
-  "millenni": 10406,
-  "millennial</w>": 28357,
-  "millennials</w>": 18804,
-  "millennium</w>": 21116,
-  "miller": 21699,
-  "miller</w>": 5733,
-  "milli": 5340,
-  "millie</w>": 29283,
-  "milling</w>": 39133,
-  "million": 13154,
-  "million</w>": 2506,
-  "millionaire</w>": 25179,
-  "millionaires</w>": 47159,
-  "millions</w>": 8492,
-  "mills</w>": 10331,
-  "millwall</w>": 35902,
-  "milly</w>": 45794,
-  "milne</w>": 44590,
-  "milner</w>": 45230,
-  "milo</w>": 24548,
-  "milton": 39004,
-  "milton</w>": 17360,
-  "milwau": 13452,
-  "milwaukee</w>": 14259,
-  "mim</w>": 39379,
-  "mimi</w>": 27086,
-  "mimic": 47116,
-  "mimic</w>": 46519,
-  "mimo": 45551,
-  "min": 771,
-  "min</w>": 3331,
-  "mina</w>": 15281,
-  "minaj</w>": 25136,
-  "minal</w>": 40222,
-  "minat</w>": 33275,
-  "mince</w>": 32396,
-  "mind": 5890,
-  "mind</w>": 2575,
-  "mindanao</w>": 44228,
-  "minded</w>": 21330,
-  "mindful</w>": 28457,
-  "mindfulness</w>": 15707,
-  "minding</w>": 45337,
-  "minds</w>": 9244,
-  "mindset</w>": 14217,
-  "mindy": 46875,
-  "mindy</w>": 38551,
-  "mine": 20149,
-  "mine</w>": 3347,
-  "minecraft</w>": 15678,
-  "mined</w>": 48034,
-  "minent</w>": 12533,
-  "miner": 14109,
-  "miner</w>": 26572,
-  "mineral</w>": 17692,
-  "minerals</w>": 21169,
-  "miners</w>": 22119,
-  "mines</w>": 16211,
-  "ming": 10868,
-  "ming</w>": 2107,
-  "mingham</w>": 7590,
-  "mingle</w>": 38437,
-  "mingly</w>": 36909,
-  "mington": 49283,
-  "mington</w>": 23119,
-  "minh</w>": 48734,
-  "minho</w>": 21318,
-  "mini": 1810,
-  "mini</w>": 3954,
-  "miniature": 44298,
-  "miniature</w>": 16377,
-  "miniatures</w>": 38816,
-  "minic": 31522,
-  "minim": 10005,
-  "minimal</w>": 18458,
-  "minimalism</w>": 42594,
-  "minimalist</w>": 26641,
-  "minimize</w>": 38697,
-  "minimum</w>": 12244,
-  "minindia</w>": 28458,
-  "mining</w>": 8473,
-  "minion</w>": 28622,
-  "minions</w>": 27035,
-  "minis": 33409,
-  "minis</w>": 35976,
-  "minister": 25688,
-  "minister</w>": 3569,
-  "ministerial</w>": 33008,
-  "ministers</w>": 16406,
-  "ministries</w>": 27895,
-  "ministry</w>": 8742,
-  "mink</w>": 42017,
-  "minn": 45991,
-  "minn</w>": 47318,
-  "minne": 7083,
-  "minneapolis</w>": 16977,
-  "minneso": 9380,
-  "minnesota</w>": 9968,
-  "minnie</w>": 24493,
-  "mino</w>": 22791,
-  "minogue</w>": 44202,
-  "minor</w>": 8522,
-  "minorities</w>": 28119,
-  "minority</w>": 16210,
-  "minors</w>": 36789,
-  "mins</w>": 6196,
-  "minsk</w>": 46151,
-  "minster</w>": 11189,
-  "mint": 48084,
-  "mint</w>": 7506,
-  "minted</w>": 49377,
-  "minton</w>": 20050,
-  "minu": 29064,
-  "minus</w>": 15358,
-  "minute": 28931,
-  "minute</w>": 4497,
-  "minutes</w>": 3056,
-  "mio</w>": 26366,
-  "mir": 2750,
-  "mir</w>": 6585,
-  "mira": 21665,
-  "mira</w>": 22762,
-  "mirac": 13685,
-  "miracle": 49208,
-  "miracle</w>": 11543,
-  "miracles</w>": 23478,
-  "miraculous</w>": 38671,
-  "mirage</w>": 28679,
-  "mirai</w>": 49060,
-  "mirand": 32367,
-  "miranda</w>": 17590,
-  "mire": 38140,
-  "mire</w>": 30140,
-  "miri": 22273,
-  "miriam</w>": 30950,
-  "miro": 34851,
-  "miro</w>": 48317,
-  "mirren</w>": 47600,
-  "mirro": 48500,
-  "mirror": 29823,
-  "mirror</w>": 7220,
-  "mirrors</w>": 21823,
-  "mirza</w>": 36440,
-  "mis": 866,
-  "mis</w>": 11239,
-  "mischief</w>": 33896,
-  "misconceptions</w>": 48681,
-  "misconduct</w>": 30601,
-  "mise": 46567,
-  "mise</w>": 17267,
-  "miser": 33394,
-  "miserable</w>": 26196,
-  "misery</w>": 28360,
-  "mises</w>": 24390,
-  "misfits</w>": 42708,
-  "mish": 15494,
-  "mish</w>": 20981,
-  "misha</w>": 35434,
-  "mishra</w>": 33042,
-  "misleading</w>": 30862,
-  "mism</w>": 15948,
-  "miso": 27657,
-  "miso</w>": 33441,
-  "misogy": 31315,
-  "misogyny</w>": 48415,
-  "miss": 6984,
-  "miss</w>": 1526,
-  "missal</w>": 38337,
-  "missed</w>": 3955,
-  "misses</w>": 15844,
-  "missi": 3008,
-  "missile</w>": 14411,
-  "missiles</w>": 27868,
-  "missin</w>": 36209,
-  "missing": 23509,
-  "missing</w>": 3423,
-  "mission": 12738,
-  "mission</w>": 2406,
-  "missionaries</w>": 40580,
-  "missionary</w>": 27915,
-  "missions</w>": 6990,
-  "mississ": 26483,
-  "mississauga</w>": 28393,
-  "mississi": 11687,
-  "mississippi</w>": 12232,
-  "missou": 30710,
-  "missoula</w>": 48549,
-  "missouri</w>": 11835,
-  "missuni": 26347,
-  "missuniverse</w>": 28766,
-  "missy": 48105,
-  "missy</w>": 31515,
-  "missyou</w>": 45799,
-  "mist": 12610,
-  "mist</w>": 11946,
-  "mistak": 20478,
-  "mistake</w>": 11303,
-  "mistaken</w>": 29182,
-  "mistakenly</w>": 48494,
-  "mistakes</w>": 12824,
-  "mister": 26949,
-  "mister</w>": 18895,
-  "mistle": 46800,
-  "mistletoe</w>": 48569,
-  "mistre": 42039,
-  "mistress</w>": 24349,
-  "mists</w>": 28636,
-  "misty</w>": 18799,
-  "misunderstood</w>": 41574,
-  "misuse</w>": 40970,
-  "mit": 3303,
-  "mit</w>": 4551,
-  "mita</w>": 47514,
-  "mitage</w>": 27964,
-  "mitch": 6969,
-  "mitch</w>": 14150,
-  "mitchell": 39339,
-  "mitchell</w>": 9007,
-  "mite</w>": 26929,
-  "mith": 21752,
-  "mith</w>": 17948,
-  "miti": 17857,
-  "mitigate</w>": 42273,
-  "mitigation</w>": 35514,
-  "mito": 38254,
-  "mitochondri": 42132,
-  "mitra</w>": 47703,
-  "mits</w>": 24086,
-  "mitsu": 17905,
-  "mitsubi": 21604,
-  "mitsubishi</w>": 23030,
-  "mitt": 17321,
-  "mitt</w>": 21341,
-  "mitted</w>": 10307,
-  "mitting</w>": 27938,
-  "mitz": 41827,
-  "mium</w>": 35891,
-  "miwx</w>": 43941,
-  "mix": 3210,
-  "mix</w>": 3285,
-  "mixed": 29376,
-  "mixed</w>": 6780,
-  "mixer</w>": 17200,
-  "mixers</w>": 39175,
-  "mixes</w>": 19061,
-  "mixing</w>": 15588,
-  "mixtape</w>": 11044,
-  "mixture</w>": 28286,
-  "miy": 25695,
-  "miya</w>": 36257,
-  "miz": 20881,
-  "miz</w>": 30795,
-  "mize</w>": 19076,
-  "mized</w>": 43418,
-  "mizing</w>": 38715,
-  "mizz": 19985,
-  "mizzou</w>": 26165,
-  "mj": 13117,
-  "mj</w>": 14733,
-  "mk": 11581,
-  "mk</w>": 8937,
-  "mke</w>": 36642,
-  "mkt</w>": 24814,
-  "ml": 3627,
-  "ml</w>": 5780,
-  "mla</w>": 16723,
-  "mlas</w>": 48464,
-  "mlb": 21039,
-  "mlb</w>": 7482,
-  "mley</w>": 40329,
-  "mlg</w>": 45801,
-  "mlin</w>": 24556,
-  "mlk</w>": 17941,
-  "mlkday</w>": 39905,
-  "mlm</w>": 37611,
-  "mln</w>": 18971,
-  "mlp</w>": 23620,
-  "mlpfi": 45475,
-  "mlpfim</w>": 45640,
-  "mls</w>": 13077,
-  "mm": 1028,
-  "mm</w>": 2848,
-  "mma": 34140,
-  "mma</w>": 6096,
-  "mmc</w>": 44253,
-  "mme</w>": 13105,
-  "mmed</w>": 19570,
-  "mmer": 35717,
-  "mmer</w>": 7508,
-  "mmers</w>": 28128,
-  "mmes</w>": 42862,
-  "mmi</w>": 34147,
-  "mming": 21038,
-  "mming</w>": 16507,
-  "mmings</w>": 31357,
-  "mmit</w>": 41050,
-  "mmj</w>": 43015,
-  "mmm": 37908,
-  "mmm</w>": 7641,
-  "mmmm": 36312,
-  "mmmm</w>": 13180,
-  "mmmmm</w>": 21808,
-  "mmmmmm</w>": 43740,
-  "mmo</w>": 30418,
-  "mmon</w>": 41131,
-  "mmor": 36657,
-  "mmorpg</w>": 39476,
-  "mms</w>": 37803,
-  "mmva</w>": 42666,
-  "mmy": 28837,
-  "mmy</w>": 8722,
-  "mn": 5086,
-  "mn</w>": 4057,
-  "mna</w>": 34877,
-  "mnd</w>": 44776,
-  "mnet</w>": 34129,
-  "mnf</w>": 41105,
-  "mnl</w>": 32980,
-  "mnleg</w>": 42653,
-  "mns</w>": 39040,
-  "mnt</w>": 21477,
-  "mntwins</w>": 45448,
-  "mnwild</w>": 39044,
-  "mnwx</w>": 39592,
-  "mo": 617,
-  "mo</w>": 2080,
-  "moa</w>": 33174,
-  "moana</w>": 43241,
-  "mob": 2818,
-  "mob</w>": 12754,
-  "mobi": 9451,
-  "mobil": 26343,
-  "mobil</w>": 29815,
-  "mobile": 12935,
-  "mobile</w>": 3451,
-  "mobiles</w>": 44302,
-  "mobili": 20770,
-  "mobility</w>": 12546,
-  "mobilization</w>": 48916,
-  "moby</w>": 47219,
-  "moc": 41439,
-  "moc</w>": 36992,
-  "mocha</w>": 28425,
-  "mochi</w>": 47973,
-  "mock": 15641,
-  "mock</w>": 12759,
-  "mocked</w>": 47400,
-  "mocking": 28692,
-  "mocking</w>": 37870,
-  "mocks</w>": 35142,
-  "mod": 6362,
-  "mod</w>": 10893,
-  "moda</w>": 25814,
-  "modal</w>": 33157,
-  "mode": 20402,
-  "mode</w>": 6493,
-  "model": 4591,
-  "model</w>": 2863,
-  "modeled</w>": 39527,
-  "modeling</w>": 13706,
-  "modelling</w>": 19946,
-  "models</w>": 6176,
-  "moder": 2894,
-  "moderate</w>": 16435,
-  "moderated</w>": 27928,
-  "moderating</w>": 34242,
-  "moderator</w>": 32659,
-  "modern": 11706,
-  "modern</w>": 4077,
-  "modernart</w>": 34417,
-  "moderni": 24328,
-  "modernism</w>": 39601,
-  "modernist</w>": 36773,
-  "modernization</w>": 47294,
-  "modes</w>": 30454,
-  "modest</w>": 25436,
-  "modi": 9047,
-  "modi</w>": 7774,
-  "modification</w>": 37630,
-  "modified</w>": 17964,
-  "modo</w>": 36820,
-  "mods</w>": 23843,
-  "modu": 9036,
-  "modular</w>": 22437,
-  "module</w>": 16757,
-  "modules</w>": 30575,
-  "moe": 38655,
-  "moe</w>": 17938,
-  "mof": 30798,
-  "moff": 27160,
-  "mog</w>": 42362,
-  "moga": 41732,
-  "mogadishu</w>": 45133,
-  "mogul</w>": 41320,
-  "moh": 18979,
-  "moh</w>": 35388,
-  "moha": 46892,
-  "moham": 7923,
-  "mohamed</w>": 18472,
-  "mohammad</w>": 19926,
-  "mohammed</w>": 16168,
-  "mohan": 26521,
-  "mohan</w>": 23586,
-  "mohawk</w>": 34942,
-  "mohd</w>": 49094,
-  "mohsin</w>": 48861,
-  "moi": 20691,
-  "moi</w>": 21825,
-  "moil</w>": 30349,
-  "moines</w>": 32091,
-  "moist": 19831,
-  "moist</w>": 33263,
-  "moisture</w>": 20412,
-  "moisturi": 25942,
-  "moj": 34505,
-  "moja": 49055,
-  "mojito</w>": 46830,
-  "mojo</w>": 25204,
-  "mok": 49146,
-  "mol": 4246,
-  "mol</w>": 31582,
-  "mold</w>": 21846,
-  "molding</w>": 46274,
-  "moldova</w>": 47317,
-  "mole": 9927,
-  "mole</w>": 23529,
-  "molecular</w>": 19370,
-  "molecule</w>": 39233,
-  "molecules</w>": 35643,
-  "molina</w>": 34201,
-  "mollie</w>": 48203,
-  "molly": 24368,
-  "molly</w>": 12573,
-  "molo": 41510,
-  "mology</w>": 32255,
-  "molten</w>": 46071,
-  "moly</w>": 47083,
-  "mom": 1614,
-  "mom</w>": 2543,
-  "moma</w>": 33605,
-  "mombasa</w>": 40340,
-  "moment": 12197,
-  "moment</w>": 2495,
-  "momento</w>": 30078,
-  "moments</w>": 5251,
-  "momentum</w>": 15722,
-  "momlife</w>": 43825,
-  "momma</w>": 14508,
-  "mommy</w>": 12456,
-  "momo": 48490,
-  "momo</w>": 25980,
-  "moms": 28446,
-  "moms</w>": 10042,
-  "momsdemand</w>": 33744,
-  "mon": 749,
-  "mon</w>": 2173,
-  "mona</w>": 19143,
-  "monaco</w>": 14938,
-  "monaghan</w>": 39797,
-  "monarch": 27235,
-  "monarch</w>": 22619,
-  "monarchs</w>": 36750,
-  "monarchy</w>": 47503,
-  "monaster": 19422,
-  "monastery</w>": 21850,
-  "monc": 34847,
-  "moncton</w>": 44962,
-  "mond": 14522,
-  "mond</w>": 4475,
-  "monday": 6205,
-  "monday</w>": 2098,
-  "mondaymorning</w>": 40089,
-  "mondaymotiv": 45488,
-  "mondaymotivation</w>": 8198,
-  "mondaymotivaton</w>": 47034,
-  "mondays</w>": 13815,
-  "monde</w>": 29339,
-  "mondo</w>": 36207,
-  "monds</w>": 20317,
-  "mone</w>": 25990,
-  "monet</w>": 24499,
-  "monetary</w>": 26394,
-  "moneti": 38056,
-  "money": 12743,
-  "money</w>": 2327,
-  "mong</w>": 43566,
-  "monger</w>": 38928,
-  "mongers</w>": 27670,
-  "mongo": 20680,
-  "mongolia</w>": 27144,
-  "mongolian</w>": 46335,
-  "moni": 46851,
-  "monia</w>": 31161,
-  "monic": 30893,
-  "monica</w>": 13540,
-  "monit": 9014,
-  "monitor</w>": 10198,
-  "monitored</w>": 45828,
-  "monitoring</w>": 11030,
-  "monitors</w>": 30478,
-  "monk": 30557,
-  "monk</w>": 16424,
-  "monkey": 29597,
-  "monkey</w>": 9465,
-  "monkeys</w>": 15781,
-  "monks</w>": 29090,
-  "monmouth</w>": 36929,
-  "mono": 8220,
-  "mono</w>": 22537,
-  "monochrome</w>": 25576,
-  "monogram</w>": 39665,
-  "monologue</w>": 47776,
-  "monopoly</w>": 25241,
-  "monoxide</w>": 49314,
-  "monro": 45750,
-  "monroe</w>": 13625,
-  "mons</w>": 19885,
-  "monsanto</w>": 37592,
-  "monsi": 46677,
-  "monsieur</w>": 48879,
-  "monsoon</w>": 18872,
-  "monsta</w>": 30718,
-  "monstax</w>": 45631,
-  "monste": 47045,
-  "monster": 14454,
-  "monster</w>": 6060,
-  "monsters</w>": 11546,
-  "mont": 5186,
-  "mont</w>": 5382,
-  "montag": 37202,
-  "montage</w>": 32325,
-  "montal": 42126,
-  "montan": 28405,
-  "montana</w>": 11436,
-  "monte": 8711,
-  "monte</w>": 14667,
-  "montene": 28538,
-  "montenegro</w>": 30378,
-  "monter": 36673,
-  "monterey</w>": 23388,
-  "monterrey</w>": 45254,
-  "montess": 43205,
-  "montessori</w>": 45443,
-  "montgom": 13852,
-  "montgomery</w>": 14951,
-  "month": 7680,
-  "month</w>": 1924,
-  "monthly</w>": 8764,
-  "months</w>": 3109,
-  "monthsary</w>": 42420,
-  "monton</w>": 41961,
-  "montp": 39523,
-  "montre": 8434,
-  "montreal</w>": 9262,
-  "montrose</w>": 42347,
-  "monty": 43997,
-  "monty</w>": 24038,
-  "monu": 9748,
-  "monument</w>": 12019,
-  "monumental</w>": 31297,
-  "monuments</w>": 26916,
-  "mony</w>": 4117,
-  "monza</w>": 40380,
-  "moo": 4953,
-  "moo</w>": 24626,
-  "mood": 42358,
-  "mood</w>": 5394,
-  "moods</w>": 43727,
-  "moody</w>": 17170,
-  "moom": 36887,
-  "moon": 6334,
-  "moon</w>": 3293,
-  "mooney</w>": 37942,
-  "moonlight</w>": 20001,
-  "moons</w>": 29887,
-  "moonshine</w>": 46706,
-  "moor": 14817,
-  "moor</w>": 11877,
-  "moore": 28613,
-  "moore</w>": 6708,
-  "moors</w>": 32577,
-  "moose": 37562,
-  "moose</w>": 17338,
-  "moot</w>": 46895,
-  "mop</w>": 33900,
-  "mopar</w>": 41166,
-  "mor": 657,
-  "mor</w>": 18614,
-  "mora</w>": 29262,
-  "moral</w>": 11246,
-  "morale</w>": 39404,
-  "morales</w>": 27117,
-  "morality</w>": 34133,
-  "morally</w>": 42519,
-  "morals</w>": 46223,
-  "moran</w>": 21557,
-  "moray</w>": 44569,
-  "more": 5434,
-  "more</w>": 750,
-  "morecam": 37305,
-  "morecambe</w>": 43414,
-  "mored</w>": 20195,
-  "moreland</w>": 44135,
-  "moreno</w>": 24826,
-  "morethan": 30889,
-  "morg": 34284,
-  "morgan": 15432,
-  "morgan</w>": 6075,
-  "morgen</w>": 35106,
-  "mori": 25710,
-  "mori</w>": 29514,
-  "moris": 43131,
-  "moritz</w>": 45594,
-  "morley</w>": 40439,
-  "mormon</w>": 27715,
-  "morn</w>": 22393,
-  "mornin</w>": 28327,
-  "morning": 10769,
-  "morning</w>": 1119,
-  "mornings</w>": 12106,
-  "moro</w>": 31613,
-  "moroc": 11996,
-  "moroccan</w>": 27546,
-  "morocco</w>": 15228,
-  "moron</w>": 31875,
-  "morons</w>": 46477,
-  "morow</w>": 40779,
-  "morph": 23915,
-  "morph</w>": 41700,
-  "morphe": 38978,
-  "morpho": 38622,
-  "morrha": 43044,
-  "morri": 9876,
-  "morris": 22560,
-  "morris</w>": 9090,
-  "morrison": 40961,
-  "morrison</w>": 14094,
-  "morrisons</w>": 40965,
-  "morrissey</w>": 30040,
-  "morro</w>": 48363,
-  "morrow</w>": 21611,
-  "mors</w>": 13064,
-  "morse</w>": 25282,
-  "mort": 24257,
-  "mort</w>": 30583,
-  "mortal": 31883,
-  "mortal</w>": 14680,
-  "mortality</w>": 20347,
-  "mortar</w>": 27258,
-  "mortg": 12069,
-  "mortgage</w>": 13988,
-  "mortgages</w>": 45391,
-  "mortimer</w>": 47836,
-  "morton</w>": 20698,
-  "morty</w>": 37391,
-  "mory</w>": 22633,
-  "mos": 28658,
-  "mos</w>": 9593,
-  "mosa": 14164,
-  "mosa</w>": 23809,
-  "mosaic</w>": 17506,
-  "mosch": 47003,
-  "mosco": 9840,
-  "moscow</w>": 10371,
-  "moseley</w>": 47080,
-  "moses</w>": 18451,
-  "mosley</w>": 46228,
-  "mosqu": 15215,
-  "mosque</w>": 12694,
-  "mosques</w>": 41214,
-  "mosquit": 39699,
-  "mosquito</w>": 25083,
-  "mosquitoes</w>": 41870,
-  "moss": 25107,
-  "moss</w>": 12815,
-  "most": 7034,
-  "most</w>": 1096,
-  "mostly</w>": 8829,
-  "mosul</w>": 29165,
-  "mot": 16352,
-  "mot</w>": 15452,
-  "mota</w>": 42499,
-  "motd</w>": 46232,
-  "motel</w>": 26191,
-  "moth": 33208,
-  "moth</w>": 11736,
-  "mother": 7455,
-  "mother</w>": 3050,
-  "motherhood</w>": 32274,
-  "motherland</w>": 46774,
-  "mothers</w>": 10546,
-  "mothersday</w>": 15583,
-  "motherwell</w>": 48104,
-  "moths</w>": 29086,
-  "moti": 38210,
-  "motif</w>": 35373,
-  "motion": 32139,
-  "motion</w>": 7860,
-  "motiv": 3183,
-  "motivate</w>": 26771,
-  "motivated</w>": 16521,
-  "motivates</w>": 44684,
-  "motivating</w>": 37720,
-  "motivation": 26117,
-  "motivation</w>": 4193,
-  "motivational": 32832,
-  "motivational</w>": 20472,
-  "motivationmonday</w>": 28703,
-  "motive</w>": 36669,
-  "motley</w>": 42553,
-  "motm</w>": 41192,
-  "moto": 10646,
-  "moto</w>": 11431,
-  "motocross</w>": 34562,
-  "motogp</w>": 16615,
-  "motor": 3975,
-  "motor</w>": 7659,
-  "motorbike</w>": 33341,
-  "motorcycle</w>": 10297,
-  "motorcycles</w>": 24869,
-  "motoring</w>": 44491,
-  "motorists</w>": 32766,
-  "motorola</w>": 33738,
-  "motors</w>": 14989,
-  "motorsport</w>": 18371,
-  "motorsports</w>": 24264,
-  "motorway</w>": 31808,
-  "motown</w>": 32685,
-  "mott": 44570,
-  "mott</w>": 21708,
-  "motto</w>": 23338,
-  "mou": 2809,
-  "mou</w>": 25289,
-  "moud</w>": 37698,
-  "moul": 25725,
-  "mould</w>": 36743,
-  "moulin</w>": 47656,
-  "moun": 2023,
-  "mound</w>": 21414,
-  "mount": 20553,
-  "mount</w>": 5532,
-  "mountain": 14547,
-  "mountain</w>": 3965,
-  "mountaine": 24841,
-  "mountaineer</w>": 49255,
-  "mountains</w>": 5873,
-  "mounted</w>": 17897,
-  "mounting</w>": 29910,
-  "mounts</w>": 36767,
-  "mour": 9053,
-  "mour</w>": 42446,
-  "moured</w>": 29555,
-  "mourinho</w>": 18536,
-  "mourn</w>": 33592,
-  "mourning</w>": 24169,
-  "mourns</w>": 42811,
-  "mous": 24837,
-  "mous</w>": 17425,
-  "mouse": 33032,
-  "mouse</w>": 9301,
-  "mousse</w>": 31869,
-  "moustache</w>": 32795,
-  "mouth": 15152,
-  "mouth</w>": 4932,
-  "mouths</w>": 38518,
-  "mov</w>": 23950,
-  "move": 16624,
-  "move</w>": 2783,
-  "moved</w>": 6997,
-  "movember</w>": 23474,
-  "movement</w>": 5208,
-  "movements</w>": 19665,
-  "mover</w>": 37673,
-  "movers</w>": 33957,
-  "moves</w>": 6880,
-  "movi": 1707,
-  "movic</w>": 43838,
-  "movie": 11247,
-  "movie</w>": 2016,
-  "movies</w>": 4772,
-  "moving": 32160,
-  "moving</w>": 3584,
-  "mow": 31006,
-  "mow</w>": 36329,
-  "mower</w>": 30895,
-  "mowing</w>": 46424,
-  "mowx</w>": 44263,
-  "moy": 27276,
-  "moy</w>": 34205,
-  "moyes</w>": 37119,
-  "moz": 14761,
-  "moz</w>": 43738,
-  "mozam": 26648,
-  "mozambique</w>": 28831,
-  "mozart</w>": 22132,
-  "mozz": 26317,
-  "mozzarella</w>": 27845,
-  "mp": 1037,
-  "mp</w>": 1246,
-  "mpa</w>": 30749,
-  "mpc</w>": 38560,
-  "mpd</w>": 33814,
-  "mped</w>": 28134,
-  "mper</w>": 22803,
-  "mpg": 39830,
-  "mpg</w>": 37454,
-  "mpgvip</w>": 42149,
-  "mph</w>": 5306,
-  "mpi</w>": 43263,
-  "mping</w>": 27999,
-  "mple</w>": 21139,
-  "mplo": 47071,
-  "mpls</w>": 34298,
-  "mpo</w>": 33674,
-  "mpp</w>": 39570,
-  "mps</w>": 5504,
-  "mption</w>": 9717,
-  "mpton</w>": 27448,
-  "mpu": 47156,
-  "mpus</w>": 25864,
-  "mpy</w>": 17192,
-  "mq": 19103,
-  "mqm</w>": 24687,
-  "mr": 3139,
-  "mr</w>": 1982,
-  "mra": 44568,
-  "mrc</w>": 25897,
-  "mri</w>": 24773,
-  "mrs": 25003,
-  "mrs</w>": 4255,
-  "mrt</w>": 30256,
-  "mru</w>": 22370,
-  "mrw</w>": 15303,
-  "ms": 3525,
-  "ms</w>": 988,
-  "msa</w>": 36306,
-  "msc": 31826,
-  "msc</w>": 20529,
-  "msd": 25804,
-  "msd</w>": 36407,
-  "msdhoni</w>": 32850,
-  "msf</w>": 36239,
-  "msg": 44430,
-  "msg</w>": 10928,
-  "msh": 41751,
-  "msi": 43597,
-  "msi</w>": 45278,
-  "msk": 38501,
-  "msl</w>": 42736,
-  "msm</w>": 22210,
-  "msn": 18824,
-  "msn</w>": 41042,
-  "msnbc</w>": 20245,
-  "mson": 27773,
-  "mson</w>": 12298,
-  "msp": 41445,
-  "msp</w>": 22318,
-  "mss": 42136,
-  "mss</w>": 48610,
-  "mst</w>": 26335,
-  "msu": 26763,
-  "msu</w>": 17298,
-  "mswx</w>": 42957,
-  "msy</w>": 43919,
-  "mt": 4252,
-  "mt</w>": 3284,
-  "mta</w>": 28691,
-  "mtb": 48306,
-  "mtb</w>": 18747,
-  "mtc</w>": 42482,
-  "mtg": 49142,
-  "mtg</w>": 13648,
-  "mth</w>": 48151,
-  "mtl</w>": 22135,
-  "mtn": 26041,
-  "mtn</w>": 18953,
-  "mtr</w>": 46650,
-  "mts</w>": 38751,
-  "mtv": 8099,
-  "mtv</w>": 12555,
-  "mtvbr": 47258,
-  "mtvhottest</w>": 16751,
-  "mtvstars</w>": 19948,
-  "mu": 670,
-  "mu</w>": 6411,
-  "mua</w>": 21395,
-  "muay": 44910,
-  "muaythai</w>": 47763,
-  "mubarak</w>": 17957,
-  "muc</w>": 49115,
-  "much": 14300,
-  "much</w>": 1238,
-  "mucha</w>": 42191,
-  "muchas</w>": 26278,
-  "mucho</w>": 19864,
-  "muck": 44731,
-  "muck</w>": 45330,
-  "mud": 17491,
-  "mud</w>": 11673,
-  "mudder</w>": 49104,
-  "muddy</w>": 21524,
-  "mue": 44383,
-  "mue</w>": 40717,
-  "mueller": 46863,
-  "mueller</w>": 14719,
-  "muen": 48646,
-  "muer": 33840,
-  "muf": 33852,
-  "mufc</w>": 9013,
-  "muffin</w>": 22696,
-  "muffins</w>": 25922,
-  "mufti</w>": 44930,
-  "mug": 16339,
-  "mug</w>": 9722,
-  "mugabe</w>": 36441,
-  "mughal</w>": 37508,
-  "mugs</w>": 22852,
-  "mugshot</w>": 40028,
-  "muh": 36335,
-  "muh</w>": 46475,
-  "muham": 10043,
-  "muhammad</w>": 12259,
-  "muir": 44650,
-  "muir</w>": 24745,
-  "muj": 44635,
-  "muk": 17327,
-  "muk</w>": 32600,
-  "mukher": 34575,
-  "mukherjee</w>": 37862,
-  "mul": 1899,
-  "mul</w>": 43193,
-  "mula</w>": 40937,
-  "mulator</w>": 17463,
-  "mulberry</w>": 39221,
-  "mule</w>": 28695,
-  "mull": 17313,
-  "mull</w>": 35310,
-  "mulled</w>": 44641,
-  "mullen</w>": 30797,
-  "muller</w>": 33956,
-  "mullet</w>": 35010,
-  "mulligan</w>": 44336,
-  "mullins</w>": 41265,
-  "mult": 34219,
-  "multi": 3947,
-  "multi</w>": 6400,
-  "multic": 21683,
-  "multicul": 28004,
-  "multicultural</w>": 34667,
-  "multil": 27975,
-  "multimedia</w>": 27977,
-  "multin": 38996,
-  "multinational</w>": 46540,
-  "multip": 40314,
-  "multiplayer</w>": 27460,
-  "multiple</w>": 6470,
-  "multipurpose</w>": 47665,
-  "multit": 27814,
-  "multitasking</w>": 48684,
-  "mulus</w>": 26180,
-  "mum": 15565,
-  "mum</w>": 4030,
-  "mumb": 5850,
-  "mumbai": 24279,
-  "mumbai</w>": 6971,
-  "mumford</w>": 46184,
-  "mummy</w>": 16301,
-  "mums</w>": 17868,
-  "mun": 2617,
-  "mun</w>": 21059,
-  "muna</w>": 48424,
-  "munch": 23587,
-  "munch</w>": 33299,
-  "munchies</w>": 44324,
-  "munchkin</w>": 41305,
-  "mund</w>": 14244,
-  "mundo</w>": 20990,
-  "muni": 27327,
-  "muni</w>": 39795,
-  "munich</w>": 13526,
-  "munici": 12159,
-  "municipal": 43667,
-  "municipal</w>": 16600,
-  "municipality</w>": 29987,
-  "munition</w>": 32668,
-  "munro</w>": 36501,
-  "munster</w>": 27201,
-  "mup</w>": 21966,
-  "muppet</w>": 40598,
-  "muppets</w>": 40187,
-  "mups</w>": 42195,
-  "mur": 2144,
-  "mur</w>": 18293,
-  "mura": 45176,
-  "mural</w>": 12315,
-  "murals</w>": 31499,
-  "murder": 28136,
-  "murder</w>": 5787,
-  "murdered</w>": 13158,
-  "murderer</w>": 26956,
-  "murderers</w>": 48472,
-  "murdering</w>": 36055,
-  "murders</w>": 22409,
-  "murdoch</w>": 29037,
-  "murphy": 48976,
-  "murphy</w>": 8914,
-  "murray": 31978,
-  "murray</w>": 7513,
-  "murs</w>": 38783,
-  "mus": 2198,
-  "mus</w>": 8103,
-  "musa</w>": 30540,
-  "musc": 5696,
-  "muscat</w>": 33322,
-  "muscle": 27323,
-  "muscle</w>": 9269,
-  "muscles</w>": 16786,
-  "muscular</w>": 30606,
-  "muse": 2369,
-  "muse</w>": 15686,
-  "museo</w>": 36457,
-  "muses</w>": 48243,
-  "museu": 27087,
-  "museum": 15602,
-  "museum</w>": 2786,
-  "museums</w>": 15542,
-  "museumweek</w>": 37996,
-  "mush": 7635,
-  "mushroom</w>": 13011,
-  "mushrooms</w>": 14730,
-  "musi": 15628,
-  "music": 4110,
-  "music</w>": 1179,
-  "musica</w>": 26668,
-  "musical": 36002,
-  "musical</w>": 5173,
-  "musically</w>": 48893,
-  "musicals</w>": 36974,
-  "musichistory</w>": 37890,
-  "musician</w>": 11179,
-  "musicians</w>": 12498,
-  "musicislife</w>": 43311,
-  "musicmonday</w>": 35887,
-  "musicvideo</w>": 26764,
-  "musik</w>": 32986,
-  "musings</w>": 44961,
-  "musique</w>": 42250,
-  "musk": 32143,
-  "musk</w>": 19063,
-  "muskete": 32775,
-  "musketeers</w>": 37993,
-  "musko": 34987,
-  "muskoka</w>": 40832,
-  "musli": 4958,
-  "muslim": 43795,
-  "muslim</w>": 7060,
-  "muslims</w>": 10513,
-  "muss": 41493,
-  "mussels</w>": 33393,
-  "must": 6783,
-  "must</w>": 2048,
-  "mustache</w>": 23451,
-  "mustaf": 23596,
-  "mustafa</w>": 29000,
-  "mustang": 42361,
-  "mustang</w>": 13309,
-  "mustangs</w>": 22500,
-  "mustard</w>": 15794,
-  "muster</w>": 47361,
-  "mustread</w>": 28978,
-  "mut": 12598,
-  "mut</w>": 22839,
-  "mutant</w>": 28384,
-  "mutation</w>": 38626,
-  "mutations</w>": 39651,
-  "mute</w>": 31252,
-  "muted</w>": 48028,
-  "muth</w>": 34280,
-  "mutil": 39950,
-  "mutt</w>": 45924,
-  "mutu": 17574,
-  "mutual</w>": 15055,
-  "mutuals</w>": 31158,
-  "muy</w>": 44625,
-  "mv": 10580,
-  "mv</w>": 8269,
-  "mvc</w>": 40549,
-  "mvp</w>": 8905,
-  "mw": 16725,
-  "mw</w>": 11206,
-  "mwc</w>": 24289,
-  "mwf</w>": 48565,
-  "mx": 21947,
-  "mx</w>": 9575,
-  "my": 1152,
-  "my</w>": 607,
-  "mya</w>": 31401,
-  "myal": 42735,
-  "myan": 13761,
-  "myanmar</w>": 14764,
-  "myart</w>": 38826,
-  "myco": 48362,
-  "mydayin": 41896,
-  "mydayinla</w>": 42801,
-  "mydubai</w>": 43475,
-  "mye": 27551,
-  "myel": 40084,
-  "myers</w>": 15993,
-  "myjaps</w>": 47939,
-  "myle": 43700,
-  "myles</w>": 25511,
-  "mylife</w>": 30537,
-  "mylittle": 37757,
-  "mylittlepony</w>": 45107,
-  "myo": 16206,
-  "myr": 20272,
-  "myra</w>": 35694,
-  "myri": 34972,
-  "myrt": 47785,
-  "myrtle</w>": 27768,
-  "mys</w>": 11724,
-  "myself</w>": 3245,
-  "mysore</w>": 44924,
-  "myspace</w>": 41382,
-  "myster": 4669,
-  "mysteries</w>": 20605,
-  "mysterious</w>": 12650,
-  "mystery": 39828,
-  "mystery</w>": 6711,
-  "mysti": 28711,
-  "mystic": 36264,
-  "mystic</w>": 23722,
-  "mystical</w>": 34122,
-  "myth": 20322,
-  "myth</w>": 13878,
-  "mythical</w>": 34377,
-  "mytho": 43857,
-  "mythology</w>": 22496,
-  "myths</w>": 18675,
-  "mz": 29509,
-  "mz</w>": 33400,
-  "mzan": 36322,
-  "mzansi</w>": 43301,
-  "má": 36842,
-  "mé": 21890,
-  "méxico</w>": 46159,
-  "mü": 28142,
-  "mün": 41235,
-  "n": 77,
-  "n</w>": 333,
-  "na": 1097,
-  "na</w>": 1272,
-  "naa</w>": 37738,
-  "naacp</w>": 32176,
-  "nab": 6951,
-  "nab</w>": 19440,
-  "nabe": 35111,
-  "naby</w>": 24800,
-  "nac": 14557,
-  "nac</w>": 18950,
-  "nach": 12168,
-  "nach</w>": 43622,
-  "nacho</w>": 35647,
-  "nachos</w>": 32847,
-  "nacht</w>": 37261,
-  "nacional</w>": 38782,
-  "nad": 6204,
-  "nad</w>": 43928,
-  "nada</w>": 31683,
-  "nadal</w>": 20814,
-  "nade": 24908,
-  "nadi": 30512,
-  "nadia</w>": 27487,
-  "nadine</w>": 23356,
-  "nadu</w>": 20936,
-  "nae</w>": 19374,
-  "naf": 16161,
-  "naf</w>": 45956,
-  "nafta</w>": 43123,
-  "nag": 6694,
-  "nag</w>": 23902,
-  "naga": 45953,
-  "naga</w>": 38997,
-  "nagar</w>": 17490,
-  "nage</w>": 41219,
-  "nago": 38349,
-  "nagoya</w>": 43303,
-  "nagpur</w>": 43328,
-  "nah": 26421,
-  "nah</w>": 11129,
-  "nahi</w>": 35244,
-  "nai": 6230,
-  "nai</w>": 10692,
-  "naia</w>": 31340,
-  "naidu</w>": 42429,
-  "naija</w>": 16326,
-  "naik</w>": 34424,
-  "nail": 19459,
-  "nail</w>": 9059,
-  "nailart</w>": 43532,
-  "nailed</w>": 19035,
-  "nails</w>": 8469,
-  "nair</w>": 27107,
-  "naira</w>": 39450,
-  "naire</w>": 48892,
-  "nairobi</w>": 17756,
-  "nais": 46396,
-  "naissance</w>": 44761,
-  "naive</w>": 43362,
-  "naj": 30985,
-  "naji": 32589,
-  "nak": 9248,
-  "nak</w>": 25550,
-  "naked": 46371,
-  "naked</w>": 11478,
-  "naku": 39864,
-  "nal": 14132,
-  "nal</w>": 3119,
-  "nale</w>": 27198,
-  "nall</w>": 32869,
-  "nally</w>": 26158,
-  "nam": 1410,
-  "nam</w>": 12344,
-  "nama</w>": 39586,
-  "naman</w>": 27635,
-  "namaste</w>": 35549,
-  "name": 18160,
-  "name</w>": 1981,
-  "named</w>": 3194,
-  "nameis": 40831,
-  "nament</w>": 3916,
-  "naments</w>": 16540,
-  "names</w>": 6130,
-  "namesake</w>": 41298,
-  "nami": 20393,
-  "namibia</w>": 23731,
-  "naming</w>": 19367,
-  "namjoon</w>": 31986,
-  "namm</w>": 35524,
-  "namo": 46013,
-  "namo</w>": 24854,
-  "nan": 4375,
-  "nan</w>": 7750,
-  "nana</w>": 18761,
-  "nanaimo</w>": 40518,
-  "nancy": 21511,
-  "nancy</w>": 11425,
-  "nand": 20435,
-  "nandez</w>": 12764,
-  "nando": 46044,
-  "nang": 48148,
-  "nani</w>": 27980,
-  "nanny</w>": 31104,
-  "nano": 15835,
-  "nano</w>": 22006,
-  "nanop": 34177,
-  "nanotechnology</w>": 42235,
-  "nanow": 46734,
-  "nant</w>": 22526,
-  "nantes</w>": 47533,
-  "nantucket</w>": 41573,
-  "nao</w>": 39319,
-  "naom": 34955,
-  "naomi</w>": 20173,
-  "nap": 6568,
-  "nap</w>": 11012,
-  "napa</w>": 20545,
-  "napier</w>": 40875,
-  "napkin</w>": 38930,
-  "naples</w>": 23560,
-  "napo": 18715,
-  "napol": 20122,
-  "napoleon</w>": 24969,
-  "napoli</w>": 22445,
-  "napp": 11359,
-  "napping</w>": 37657,
-  "naps</w>": 31317,
-  "naq": 46453,
-  "nar": 2977,
-  "nar</w>": 20145,
-  "nara</w>": 33823,
-  "narcis": 25229,
-  "narcissi": 35442,
-  "narco": 38461,
-  "nard</w>": 18216,
-  "nare": 34853,
-  "naren": 8468,
-  "narendr": 9807,
-  "narendra</w>": 25848,
-  "narendramodi</w>": 9853,
-  "narnia</w>": 48693,
-  "narr": 11845,
-  "narrated</w>": 43609,
-  "narrative</w>": 15933,
-  "narratives</w>": 35117,
-  "narrator</w>": 46529,
-  "narrow": 24006,
-  "narrow</w>": 16652,
-  "narrowly</w>": 29747,
-  "naruto</w>": 22732,
-  "nas": 3090,
-  "nas</w>": 15250,
-  "nasa</w>": 6841,
-  "nasal</w>": 42853,
-  "nascar": 25723,
-  "nascar</w>": 7868,
-  "nasdaq</w>": 26629,
-  "nash": 6771,
-  "nash</w>": 13620,
-  "nasheed</w>": 49176,
-  "nashgrier</w>": 33372,
-  "nashville": 45356,
-  "nashville</w>": 8585,
-  "nasi</w>": 47987,
-  "nasir</w>": 47509,
-  "nassau</w>": 34048,
-  "nasser</w>": 43559,
-  "nasty": 32930,
-  "nasty</w>": 8709,
-  "nat": 1276,
-  "nat</w>": 11310,
-  "nata</w>": 39392,
-  "natal</w>": 28516,
-  "natali": 20296,
-  "natalia</w>": 32978,
-  "natalie": 36634,
-  "natalie</w>": 13595,
-  "natash": 48701,
-  "natasha</w>": 23093,
-  "nate": 26643,
-  "nate</w>": 7587,
-  "natgeo": 33009,
-  "natgeo</w>": 25046,
-  "nath": 22203,
-  "nath</w>": 19843,
-  "nathan": 13028,
-  "nathan</w>": 9711,
-  "nathanfillion</w>": 47422,
-  "nathaniel</w>": 32667,
-  "nati": 1060,
-  "nati</w>": 13384,
-  "natic</w>": 44944,
-  "natin</w>": 44358,
-  "nation": 2317,
-  "nation</w>": 2670,
-  "national": 3126,
-  "national</w>": 1362,
-  "nationalbestfriend": 42222,
-  "nationaldogday</w>": 32227,
-  "nationalism</w>": 29867,
-  "nationalist</w>": 25058,
-  "nationality</w>": 44451,
-  "nationally</w>": 15130,
-  "nationalpark</w>": 33060,
-  "nationalparks</w>": 41204,
-  "nationals</w>": 10784,
-  "nationaltrust</w>": 34051,
-  "nations</w>": 7654,
-  "nationwide</w>": 13795,
-  "native": 20639,
-  "native</w>": 4562,
-  "natives</w>": 36060,
-  "nativity</w>": 33988,
-  "natl": 39225,
-  "natl</w>": 34465,
-  "nato</w>": 13139,
-  "nats</w>": 21106,
-  "natu": 2775,
-  "natur": 6800,
-  "natural": 13198,
-  "natural</w>": 3288,
-  "naturally</w>": 12995,
-  "naturals</w>": 44686,
-  "nature": 9382,
-  "nature</w>": 2625,
-  "naturelovers</w>": 41514,
-  "naturephotography</w>": 22533,
-  "natures</w>": 15616,
-  "natureuk</w>": 46193,
-  "nau": 5955,
-  "nau</w>": 32878,
-  "naught</w>": 41001,
-  "naughty": 47255,
-  "naughty</w>": 15101,
-  "nautical</w>": 31660,
-  "nav": 3413,
-  "nav</w>": 25308,
-  "navajo</w>": 35523,
-  "naval": 44725,
-  "naval</w>": 13273,
-  "navar": 24848,
-  "navarro</w>": 37104,
-  "nave": 42704,
-  "naveen</w>": 43837,
-  "naver</w>": 32534,
-  "navi": 16159,
-  "navi</w>": 44848,
-  "navig": 12507,
-  "navigate</w>": 24400,
-  "navigating</w>": 33134,
-  "navigation</w>": 20148,
-  "navigator</w>": 38910,
-  "navis</w>": 36377,
-  "navratri</w>": 45428,
-  "navy": 28414,
-  "navy</w>": 5598,
-  "naw": 16259,
-  "naw</w>": 30500,
-  "nawaz": 49161,
-  "nawaz</w>": 19523,
-  "nax": 38299,
-  "nay": 11704,
-  "nay</w>": 16182,
-  "naya</w>": 38917,
-  "nayanth": 38157,
-  "nayanthara</w>": 45184,
-  "naz": 6363,
-  "naz</w>": 35534,
-  "nazi</w>": 12972,
-  "nazis</w>": 21778,
-  "nb": 6459,
-  "nb</w>": 6813,
-  "nba": 22524,
-  "nba</w>": 5139,
-  "nbad": 43458,
-  "nbaf": 30127,
-  "nbafinals</w>": 33803,
-  "nbap": 41956,
-  "nbaplayoffs</w>": 43860,
-  "nbat": 46291,
-  "nbc": 9352,
-  "nbc</w>": 8799,
-  "nbd</w>": 24526,
-  "nbl</w>": 42652,
-  "nc": 5021,
-  "nc</w>": 4911,
-  "nca": 6921,
-  "ncaa</w>": 9418,
-  "ncbd</w>": 47221,
-  "ncc": 33195,
-  "ncc</w>": 36686,
-  "ncds</w>": 47573,
-  "ncfc</w>": 31274,
-  "ncis</w>": 33617,
-  "ncpol</w>": 40562,
-  "ncr</w>": 38474,
-  "ncs</w>": 42689,
-  "nct": 27723,
-  "nct</w>": 20319,
-  "ncwx</w>": 36166,
-  "nd": 5625,
-  "nd</w>": 1764,
-  "nda</w>": 32862,
-  "ndc</w>": 47564,
-  "ndi</w>": 48229,
-  "ndp</w>": 19257,
-  "nds</w>": 31347,
-  "ndtv</w>": 26261,
-  "ne": 557,
-  "ne</w>": 1422,
-  "nea</w>": 24068,
-  "neal": 33652,
-  "neal</w>": 16730,
-  "near": 11296,
-  "near</w>": 2252,
-  "nearby</w>": 13314,
-  "nearest</w>": 18985,
-  "nearing</w>": 26571,
-  "nearly</w>": 4816,
-  "nears</w>": 37710,
-  "neat": 43201,
-  "neat</w>": 15465,
-  "neath</w>": 18315,
-  "neau</w>": 31559,
-  "neb": 40209,
-  "nebra": 13371,
-  "nebraska</w>": 14565,
-  "nebu": 49295,
-  "nebula</w>": 22532,
-  "nec": 25109,
-  "nec</w>": 22992,
-  "necess": 6961,
-  "necessarily</w>": 25853,
-  "necessary</w>": 8955,
-  "necessities</w>": 43483,
-  "necessity</w>": 33163,
-  "neck": 6066,
-  "neck</w>": 6906,
-  "necklace</w>": 7385,
-  "necklaces</w>": 32276,
-  "necks</w>": 29701,
-  "nectar</w>": 33683,
-  "ned": 16030,
-  "ned</w>": 1369,
-  "nederland</w>": 49058,
-  "nee": 20494,
-  "nee</w>": 10601,
-  "need": 3229,
-  "need</w>": 1262,
-  "needed</w>": 4049,
-  "needing</w>": 22894,
-  "needle": 44490,
-  "needle</w>": 19886,
-  "needles</w>": 27250,
-  "needless</w>": 39984,
-  "needs</w>": 2536,
-  "needy</w>": 30150,
-  "neel": 33092,
-  "neel</w>": 46043,
-  "neer": 34245,
-  "nees</w>": 47248,
-  "neet</w>": 46362,
-  "neg": 5513,
-  "negan</w>": 42623,
-  "negative</w>": 8869,
-  "negatively</w>": 40254,
-  "negativity</w>": 34658,
-  "neglec": 18827,
-  "neglect</w>": 33680,
-  "neglected</w>": 31893,
-  "negli": 32594,
-  "negligence</w>": 45658,
-  "negoti": 10216,
-  "negotiate</w>": 32969,
-  "negotiating</w>": 35510,
-  "negotiation</w>": 36504,
-  "negotiations</w>": 20433,
-  "negr": 42190,
-  "negro</w>": 26554,
-  "neh": 40416,
-  "neh</w>": 41697,
-  "neha</w>": 44463,
-  "nehru</w>": 30316,
-  "nei": 9366,
-  "neigh": 4061,
-  "neighb": 6534,
-  "neighbor": 7759,
-  "neighbor</w>": 14485,
-  "neighborhood</w>": 9471,
-  "neighborhoods</w>": 26713,
-  "neighboring</w>": 44754,
-  "neighbors</w>": 13037,
-  "neighbour": 15858,
-  "neighbour</w>": 23719,
-  "neighbourhood</w>": 20312,
-  "neighbours</w>": 17594,
-  "neil": 13591,
-  "neil</w>": 8030,
-  "neilhimself</w>": 45682,
-  "neill</w>": 19324,
-  "neither</w>": 14398,
-  "nek</w>": 47727,
-  "neko</w>": 47066,
-  "nel": 5476,
-  "nel</w>": 2693,
-  "nell": 27081,
-  "nell</w>": 8117,
-  "nelly</w>": 21166,
-  "nels</w>": 19296,
-  "nelson": 24774,
-  "nelson</w>": 8586,
-  "nem</w>": 45153,
-  "neman</w>": 48553,
-  "neme": 30993,
-  "nemesis</w>": 37811,
-  "nemo</w>": 30441,
-  "nen": 17817,
-  "nen</w>": 15451,
-  "nene</w>": 44167,
-  "neo": 14562,
-  "neo</w>": 11017,
-  "neon": 21043,
-  "neon</w>": 13919,
-  "neonatal</w>": 46464,
-  "neop": 49069,
-  "nep": 20739,
-  "nep</w>": 41960,
-  "nepal": 25597,
-  "nepal</w>": 10066,
-  "nepali</w>": 47579,
-  "neph": 27926,
-  "nephe": 41810,
-  "nephew</w>": 11689,
-  "nephews</w>": 43747,
-  "nephro": 43054,
-  "neptune</w>": 30566,
-  "ner": 2064,
-  "ner</w>": 998,
-  "nerd": 24452,
-  "nerd</w>": 12273,
-  "nerds</w>": 22609,
-  "nerdy</w>": 33124,
-  "nered</w>": 17583,
-  "nerf</w>": 42914,
-  "nering</w>": 20226,
-  "nero</w>": 29048,
-  "ners</w>": 2129,
-  "nerve</w>": 18571,
-  "nerves</w>": 27813,
-  "nervous</w>": 13928,
-  "nery</w>": 48597,
-  "nes": 5457,
-  "nes</w>": 4980,
-  "nesburg</w>": 27159,
-  "nese</w>": 32220,
-  "ness": 7187,
-  "ness</w>": 1294,
-  "nesses</w>": 20107,
-  "nessy</w>": 32939,
-  "nest": 20302,
-  "nest</w>": 8719,
-  "nesting</w>": 28860,
-  "nestle</w>": 43967,
-  "nestled</w>": 38107,
-  "nests</w>": 41133,
-  "net": 1851,
-  "net</w>": 2315,
-  "netany": 23137,
-  "netanyahu</w>": 23583,
-  "netball</w>": 19761,
-  "netes</w>": 44335,
-  "netfli": 6304,
-  "netflix": 35325,
-  "netflix</w>": 6600,
-  "nether": 9946,
-  "netherlands</w>": 11060,
-  "neti": 43980,
-  "netneutrality</w>": 47794,
-  "nets</w>": 8582,
-  "nett": 23403,
-  "nett</w>": 6975,
-  "nette</w>": 13271,
-  "network": 23285,
-  "network</w>": 3304,
-  "networking</w>": 9818,
-  "networks</w>": 10004,
-  "neu": 3855,
-  "neu</w>": 43342,
-  "neue</w>": 45764,
-  "neur": 19001,
-  "neur</w>": 31976,
-  "neural</w>": 26388,
-  "neuro": 7401,
-  "neuro</w>": 36000,
-  "neurological</w>": 41718,
-  "neurology</w>": 43197,
-  "neurons</w>": 40442,
-  "neuroscience</w>": 23381,
-  "neutr": 17207,
-  "neutral</w>": 17011,
-  "neutrality</w>": 26511,
-  "neutron</w>": 44056,
-  "nev": 10236,
-  "nev</w>": 43645,
-  "neva</w>": 43304,
-  "nevada</w>": 13499,
-  "neve": 44099,
-  "neve</w>": 44023,
-  "never": 6746,
-  "never</w>": 1426,
-  "neveragain</w>": 45053,
-  "neverforget</w>": 19242,
-  "nevergiveup</w>": 42497,
-  "neverland</w>": 41483,
-  "nevertheless</w>": 48355,
-  "nevertrump</w>": 47494,
-  "neville</w>": 19269,
-  "nevis</w>": 43670,
-  "new": 1218,
-  "new</w>": 686,
-  "newark</w>": 20240,
-  "newbie</w>": 45427,
-  "newborn</w>": 18320,
-  "newbury</w>": 34169,
-  "newcastle": 41955,
-  "newcastle</w>": 9302,
-  "newcomer</w>": 30648,
-  "newcomers</w>": 44037,
-  "newe": 40068,
-  "newell</w>": 41436,
-  "newer</w>": 33099,
-  "newest</w>": 4990,
-  "newfound": 25250,
-  "newfoundland</w>": 28079,
-  "newh": 18546,
-  "newin": 31911,
-  "newjersey</w>": 32621,
-  "newly": 42186,
-  "newly</w>": 7056,
-  "newman</w>": 15815,
-  "newmarket</w>": 38617,
-  "newmexico</w>": 35238,
-  "newmusic": 32510,
-  "newmusic</w>": 17201,
-  "newor": 25969,
-  "neworleans</w>": 31205,
-  "newport": 42580,
-  "newport</w>": 14846,
-  "newprofile": 14633,
-  "newprofilepic</w>": 14754,
-  "newrelease</w>": 34793,
-  "news": 6216,
-  "news</w>": 1120,
-  "newsat</w>": 43979,
-  "newsc": 28656,
-  "newscast</w>": 45031,
-  "newsle": 10727,
-  "newsletter</w>": 11069,
-  "newsnow</w>": 48650,
-  "newsp": 7109,
-  "newspaper</w>": 8786,
-  "newspapers</w>": 22423,
-  "newsroom</w>": 23200,
-  "newt</w>": 37224,
-  "newton": 33122,
-  "newton</w>": 12606,
-  "newtown</w>": 31747,
-  "newyear": 22161,
-  "newyear</w>": 12999,
-  "newyearseve</w>": 37587,
-  "newyork": 18140,
-  "newyork</w>": 10454,
-  "newyorkcity</w>": 30460,
-  "newyorker</w>": 39732,
-  "newzealand</w>": 21117,
-  "nex": 6897,
-  "nex</w>": 39720,
-  "next": 12434,
-  "next</w>": 1131,
-  "nextgen</w>": 41933,
-  "nexus</w>": 19053,
-  "ney": 3857,
-  "ney</w>": 1438,
-  "neymar</w>": 21878,
-  "neys</w>": 12616,
-  "nez</w>": 27388,
-  "nf": 15195,
-  "nf</w>": 25643,
-  "nfamily</w>": 20098,
-  "nfc</w>": 23695,
-  "nffc</w>": 27893,
-  "nfl": 11219,
-  "nfl</w>": 4691,
-  "nfldraft</w>": 25002,
-  "ng": 10352,
-  "ng</w>": 5215,
-  "nga</w>": 35477,
-  "ngc</w>": 29046,
-  "ngo": 38740,
-  "ngo</w>": 24821,
-  "ngos</w>": 34627,
-  "nguyen</w>": 29947,
-  "nh": 3760,
-  "nh</w>": 10803,
-  "nhc</w>": 44817,
-  "nhl": 12290,
-  "nhl</w>": 8167,
-  "nhlbruins</w>": 39081,
-  "nhljets</w>": 49357,
-  "nhm</w>": 39483,
-  "nhpolitics</w>": 36125,
-  "nhq</w>": 42368,
-  "nhra</w>": 30052,
-  "nhs": 23282,
-  "nhs</w>": 7695,
-  "ni": 697,
-  "ni</w>": 3256,
-  "nia</w>": 3098,
-  "niag": 18071,
-  "niagar": 39298,
-  "niagara</w>": 18965,
-  "niall": 41354,
-  "niall</w>": 8327,
-  "niallo": 22855,
-  "niallofficial</w>": 23084,
-  "niam": 39347,
-  "nian</w>": 46003,
-  "nib</w>": 31049,
-  "nic": 2109,
-  "nic</w>": 6651,
-  "nica</w>": 29040,
-  "nicar": 25119,
-  "nicaragua</w>": 28423,
-  "nice": 28386,
-  "nice</w>": 1805,
-  "nicely</w>": 12303,
-  "nicer</w>": 29488,
-  "nicest</w>": 22967,
-  "niche</w>": 25279,
-  "nichol": 7668,
-  "nicholas": 39814,
-  "nicholas</w>": 13148,
-  "nicholls</w>": 38846,
-  "nichols</w>": 22730,
-  "nicholson</w>": 28745,
-  "nick": 4209,
-  "nick</w>": 4253,
-  "nickel</w>": 22034,
-  "nickelo": 28668,
-  "nickelodeon</w>": 33279,
-  "nicki</w>": 17738,
-  "nickimin": 27390,
-  "nickiminaj</w>": 27593,
-  "nickjonas</w>": 43862,
-  "nickname</w>": 24731,
-  "nicknamed</w>": 45190,
-  "nicks</w>": 15049,
-  "nicky": 28893,
-  "nicky</w>": 22091,
-  "nico": 20850,
-  "nico</w>": 17779,
-  "nicol": 9919,
-  "nicol</w>": 48274,
-  "nicola</w>": 21791,
-  "nicolas": 43813,
-  "nicolas</w>": 18918,
-  "nicole": 21246,
-  "nicole</w>": 10000,
-  "nicot": 45099,
-  "nicotine</w>": 46697,
-  "nie": 9524,
-  "nie</w>": 3501,
-  "niece</w>": 12795,
-  "nieces</w>": 44877,
-  "niel": 19109,
-  "niel</w>": 26837,
-  "niels</w>": 37154,
-  "nielsen</w>": 28372,
-  "nier</w>": 13014,
-  "nies</w>": 10586,
-  "niest</w>": 15007,
-  "nieu": 29781,
-  "nific": 4748,
-  "nifty</w>": 25604,
-  "nig": 27933,
-  "nig</w>": 28099,
-  "nigan</w>": 48516,
-  "nigel": 33919,
-  "nigel</w>": 15153,
-  "niger": 4524,
-  "niger</w>": 29920,
-  "nigeri": 40913,
-  "nigeria</w>": 6106,
-  "nigerian</w>": 12167,
-  "nigerians</w>": 25358,
-  "nigh": 13525,
-  "nigh</w>": 48157,
-  "night": 3870,
-  "night</w>": 930,
-  "nightclub</w>": 20418,
-  "nighter</w>": 41349,
-  "nighting": 36211,
-  "nightingale</w>": 40696,
-  "nightlife</w>": 28823,
-  "nightly</w>": 28868,
-  "nightmare</w>": 12867,
-  "nightmares</w>": 24032,
-  "nightout</w>": 44257,
-  "nights</w>": 4296,
-  "nighttime</w>": 38147,
-  "nightw": 39956,
-  "nih</w>": 25783,
-  "nik": 5126,
-  "nik</w>": 13705,
-  "nike": 16300,
-  "nike</w>": 5783,
-  "nikeplus</w>": 43154,
-  "niki</w>": 36136,
-  "nikita</w>": 37118,
-  "nikk": 38596,
-  "nikki": 23156,
-  "nikki</w>": 16689,
-  "niko</w>": 43771,
-  "nikol": 27430,
-  "nikola</w>": 42146,
-  "nikon": 25488,
-  "nikon</w>": 13849,
-  "nikov</w>": 43960,
-  "nil": 16852,
-  "nil</w>": 35030,
-  "nile</w>": 24252,
-  "nim": 30402,
-  "nim</w>": 42093,
-  "nima</w>": 42586,
-  "nin": 5794,
-  "nin</w>": 14145,
-  "nina</w>": 13891,
-  "nine": 16213,
-  "nine</w>": 7330,
-  "ninety</w>": 48214,
-  "ning": 6050,
-  "ning</w>": 762,
-  "ningham</w>": 23395,
-  "ningly</w>": 43537,
-  "nings</w>": 4588,
-  "nington</w>": 26214,
-  "ninj": 23225,
-  "ninja</w>": 11969,
-  "ninjas</w>": 42796,
-  "nino</w>": 25633,
-  "ninten": 6184,
-  "nintendo": 13969,
-  "nintendo</w>": 7886,
-  "nintendoswitch</w>": 16404,
-  "ninth</w>": 22770,
-  "nip": 33889,
-  "nip</w>": 22333,
-  "nipp": 24634,
-  "nipple</w>": 45987,
-  "nipples</w>": 44774,
-  "nippon</w>": 47960,
-  "nips</w>": 49241,
-  "nir": 15503,
-  "nir</w>": 40057,
-  "nireland</w>": 45763,
-  "niro</w>": 47373,
-  "nirvana</w>": 28300,
-  "nis": 5609,
-  "nis</w>": 3786,
-  "nish": 19834,
-  "nish</w>": 13256,
-  "nished</w>": 24141,
-  "nishi": 32386,
-  "nishings</w>": 49247,
-  "nison</w>": 45700,
-  "niss</w>": 39043,
-  "nissan": 37635,
-  "nissan</w>": 11082,
-  "nist</w>": 17782,
-  "nister</w>": 36640,
-  "nit": 4087,
-  "nit</w>": 19011,
-  "nite</w>": 8427,
-  "niti": 43964,
-  "niti</w>": 45355,
-  "nitin</w>": 37529,
-  "nitro</w>": 30726,
-  "nitrogen</w>": 30706,
-  "niture</w>": 7840,
-  "nity</w>": 12707,
-  "niu</w>": 48187,
-  "niv</w>": 47300,
-  "niversary</w>": 29643,
-  "nix": 48552,
-  "nix</w>": 32278,
-  "nixon</w>": 20671,
-  "nj": 8343,
-  "nj</w>": 6672,
-  "njcaa</w>": 48992,
-  "njpw</w>": 38992,
-  "nk": 22708,
-  "nk</w>": 17456,
-  "nko": 36353,
-  "nl": 12057,
-  "nl</w>": 7655,
-  "nli</w>": 37502,
-  "nlp</w>": 35680,
-  "nlwx</w>": 49260,
-  "nm": 15956,
-  "nm</w>": 11370,
-  "nmd</w>": 43331,
-  "nme</w>": 40454,
-  "nmwx</w>": 47967,
-  "nn": 8947,
-  "nn</w>": 12925,
-  "nnn</w>": 26277,
-  "nnnn</w>": 41420,
-  "no": 578,
-  "no</w>": 871,
-  "noaa</w>": 27557,
-  "noah": 28806,
-  "noah</w>": 11519,
-  "nobel": 33742,
-  "nobel</w>": 15605,
-  "nobelprize</w>": 46074,
-  "noble": 29430,
-  "noble</w>": 12051,
-  "nobody</w>": 7009,
-  "noc": 16988,
-  "noc</w>": 44420,
-  "nocchi</w>": 46359,
-  "noch</w>": 38672,
-  "noche</w>": 29689,
-  "noches</w>": 44166,
-  "nock</w>": 16993,
-  "noctur": 26291,
-  "nocturnal</w>": 41738,
-  "nod</w>": 18648,
-  "nodapl</w>": 39079,
-  "node": 31434,
-  "node</w>": 24871,
-  "nodejs</w>": 39262,
-  "nodes</w>": 40534,
-  "noel": 38406,
-  "noel</w>": 17496,
-  "nof": 29505,
-  "noff</w>": 46979,
-  "nofilter</w>": 16418,
-  "nog</w>": 31157,
-  "noh</w>": 40775,
-  "noi": 43115,
-  "noi</w>": 39889,
-  "noida</w>": 33404,
-  "noir": 39291,
-  "noir</w>": 12953,
-  "nois": 22057,
-  "noise": 41018,
-  "noise</w>": 9307,
-  "noises</w>": 31575,
-  "noisse": 45686,
-  "noisy</w>": 33495,
-  "nokia</w>": 17731,
-  "nol": 8055,
-  "nola</w>": 13289,
-  "nolan</w>": 17323,
-  "nold</w>": 40322,
-  "nole</w>": 34654,
-  "noles</w>": 40569,
-  "nollywood</w>": 43145,
-  "nology</w>": 42221,
-  "nom": 2981,
-  "nom</w>": 12799,
-  "nomad</w>": 27849,
-  "noman": 45592,
-  "nomin": 5643,
-  "nominate</w>": 17122,
-  "nominated</w>": 8710,
-  "nominating</w>": 45747,
-  "nomination</w>": 14136,
-  "nominations</w>": 17124,
-  "nominee</w>": 14122,
-  "nominees</w>": 17873,
-  "nomnom</w>": 26962,
-  "nomore": 35126,
-  "noms</w>": 35706,
-  "non": 4282,
-  "non</w>": 3353,
-  "none": 29644,
-  "none</w>": 8906,
-  "nonetheless</w>": 39675,
-  "nonfiction</w>": 31654,
-  "nonprofit</w>": 19315,
-  "nonprofits</w>": 37935,
-  "nonsense</w>": 19136,
-  "nonstop</w>": 30300,
-  "nont</w>": 25207,
-  "noo": 6759,
-  "noo</w>": 46672,
-  "noodle</w>": 19521,
-  "noodles</w>": 15782,
-  "nook</w>": 30088,
-  "noon": 37693,
-  "noon</w>": 2347,
-  "noor": 46978,
-  "noor</w>": 31323,
-  "nope</w>": 15625,
-  "nor": 1062,
-  "nor</w>": 6190,
-  "nora</w>": 25890,
-  "norcal</w>": 41970,
-  "nord": 19261,
-  "nord</w>": 36067,
-  "nordic": 36439,
-  "nordic</w>": 20734,
-  "nordstrom</w>": 38562,
-  "norfolk": 30232,
-  "norfolk</w>": 12202,
-  "norm": 10990,
-  "norm</w>": 22457,
-  "norma</w>": 35757,
-  "normal": 28748,
-  "normal</w>": 5967,
-  "normali": 45157,
-  "normally</w>": 15870,
-  "norman": 22027,
-  "norman</w>": 11338,
-  "normandy</w>": 23840,
-  "normani</w>": 44596,
-  "norms</w>": 33011,
-  "norris</w>": 21814,
-  "norse</w>": 36559,
-  "norte</w>": 35638,
-  "north": 3468,
-  "north</w>": 2188,
-  "northampton": 49246,
-  "northampton</w>": 26175,
-  "northan": 37081,
-  "northbound</w>": 24228,
-  "northcarolina</w>": 43386,
-  "northe": 24675,
-  "northeast": 42673,
-  "northeast</w>": 13009,
-  "northeastern</w>": 28297,
-  "northeasthour</w>": 42869,
-  "norther": 26908,
-  "northern": 17210,
-  "northern</w>": 5049,
-  "northernlights</w>": 48940,
-  "northkorea</w>": 38495,
-  "northside</w>": 45957,
-  "northumber": 22295,
-  "northumberland</w>": 22922,
-  "northwales</w>": 49371,
-  "northwest</w>": 12894,
-  "northwestern</w>": 23685,
-  "norton</w>": 18032,
-  "norway</w>": 8780,
-  "norwe": 14414,
-  "norwegian</w>": 15971,
-  "norwich": 37629,
-  "norwich</w>": 15812,
-  "norwood</w>": 37889,
-  "nos</w>": 13420,
-  "nose": 24192,
-  "nose</w>": 8231,
-  "noses</w>": 48163,
-  "nostal": 12076,
-  "nostalgia</w>": 16622,
-  "nostalgic</w>": 24468,
-  "not": 2534,
-  "not</w>": 783,
-  "notable</w>": 22023,
-  "notch</w>": 19476,
-  "notdead</w>": 42059,
-  "note": 10910,
-  "note</w>": 3246,
-  "notebook</w>": 16365,
-  "notebooks</w>": 37623,
-  "noted</w>": 22501,
-  "notes</w>": 5795,
-  "nothin</w>": 24291,
-  "nothing": 28412,
-  "nothing</w>": 2586,
-  "noti": 10686,
-  "notic": 6915,
-  "notice</w>": 6683,
-  "noticeable</w>": 40857,
-  "noticed</w>": 9324,
-  "notices</w>": 33459,
-  "noticias</w>": 47759,
-  "noticing</w>": 37571,
-  "notification</w>": 22512,
-  "notifications</w>": 23169,
-  "notified</w>": 39454,
-  "noting</w>": 38649,
-  "notion</w>": 37856,
-  "notjust": 33212,
-  "notjustlakes</w>": 45803,
-  "notmy": 39301,
-  "noto": 29878,
-  "noton": 48258,
-  "notor": 21711,
-  "notori": 44065,
-  "notorious</w>": 22489,
-  "notre": 24397,
-  "notre</w>": 15306,
-  "notredame</w>": 34077,
-  "notsorry</w>": 34361,
-  "nott": 9333,
-  "nott</w>": 34989,
-  "notte</w>": 47308,
-  "nottingham</w>": 12852,
-  "notts</w>": 25598,
-  "nou": 8751,
-  "nou</w>": 30953,
-  "noun</w>": 33663,
-  "nouri": 23796,
-  "nourish</w>": 46025,
-  "nourished</w>": 48354,
-  "nous</w>": 29485,
-  "nouveau</w>": 29948,
-  "nouvel": 34215,
-  "nov": 2264,
-  "nov</w>": 4293,
-  "nova</w>": 11236,
-  "novak</w>": 26465,
-  "novasco": 33785,
-  "novascotia</w>": 34744,
-  "novation</w>": 39753,
-  "nove": 30507,
-  "novel": 15044,
-  "novel</w>": 6080,
-  "novelist</w>": 27314,
-  "novella</w>": 42770,
-  "novels</w>": 16040,
-  "novelty</w>": 37750,
-  "november</w>": 3680,
-  "nover</w>": 37465,
-  "novi": 47957,
-  "novice</w>": 33743,
-  "novo": 27504,
-  "novo</w>": 36581,
-  "now": 2040,
-  "now</w>": 692,
-  "nowadays</w>": 26155,
-  "nowhere</w>": 14108,
-  "nowplaying</w>": 3708,
-  "nowwatching</w>": 30852,
-  "nox</w>": 27406,
-  "noxi": 39304,
-  "noxious</w>": 42833,
-  "noy</w>": 32787,
-  "np": 18205,
-  "np</w>": 6314,
-  "npa</w>": 42378,
-  "npc</w>": 33966,
-  "npr": 39941,
-  "npr</w>": 24078,
-  "nps</w>": 22025,
-  "npt</w>": 47231,
-  "nr": 6574,
-  "nr</w>": 9713,
-  "nra</w>": 17286,
-  "nrc</w>": 45786,
-  "nrf</w>": 47982,
-  "nrg</w>": 48662,
-  "nrl": 27142,
-  "nrl</w>": 18127,
-  "ns": 12405,
-  "ns</w>": 1373,
-  "nsa</w>": 23004,
-  "nsc": 32792,
-  "nsd</w>": 36659,
-  "nsf</w>": 34180,
-  "nsfw</w>": 19847,
-  "nsi": 47824,
-  "nsw": 21301,
-  "nsw</w>": 11693,
-  "nswpol</w>": 44434,
-  "nt": 10902,
-  "nt</w>": 3207,
-  "ntr</w>": 30845,
-  "nts</w>": 43775,
-  "ntt</w>": 22859,
-  "ntv": 24807,
-  "ntv</w>": 45304,
-  "nu": 1156,
-  "nu</w>": 9444,
-  "nucle": 25693,
-  "nuclear": 34136,
-  "nuclear</w>": 7279,
-  "nude</w>": 16630,
-  "nudes</w>": 32122,
-  "nue": 22834,
-  "nuestra</w>": 45649,
-  "nuestro</w>": 38590,
-  "nuev": 47861,
-  "nueva</w>": 48810,
-  "nuevo</w>": 30265,
-  "nufc</w>": 15720,
-  "nuff</w>": 37324,
-  "nug": 13471,
-  "nugent</w>": 47457,
-  "nugget</w>": 25448,
-  "nuggets</w>": 18970,
-  "nuh</w>": 45950,
-  "nuit</w>": 38815,
-  "nuk</w>": 39228,
-  "nuke</w>": 39399,
-  "nul": 29358,
-  "null</w>": 47376,
-  "num": 17896,
-  "num</w>": 30534,
-  "numb": 34639,
-  "numb</w>": 39427,
-  "number": 44078,
-  "number</w>": 2842,
-  "numbered</w>": 25975,
-  "numbers</w>": 6121,
-  "numer": 11442,
-  "numerous</w>": 17082,
-  "numis": 39100,
-  "nun": 12511,
-  "nun</w>": 28540,
-  "nunavut</w>": 48626,
-  "nunes</w>": 40697,
-  "nuns</w>": 44061,
-  "nup": 46757,
-  "nur": 3920,
-  "nur</w>": 33493,
-  "nure": 42480,
-  "nurse": 37547,
-  "nurse</w>": 10058,
-  "nursery</w>": 15540,
-  "nurses</w>": 12938,
-  "nursing</w>": 11126,
-  "nurture</w>": 38865,
-  "nurturing</w>": 45229,
-  "nus": 25157,
-  "nus</w>": 18239,
-  "nut": 10358,
-  "nut</w>": 6491,
-  "nutcracker</w>": 36733,
-  "nutella</w>": 27312,
-  "nutr": 6198,
-  "nutri": 15470,
-  "nutrient</w>": 32900,
-  "nutrients</w>": 24668,
-  "nutriti": 17978,
-  "nutrition": 41546,
-  "nutrition</w>": 7989,
-  "nutritional</w>": 26457,
-  "nutritious</w>": 30387,
-  "nuts</w>": 8644,
-  "nutshell</w>": 26659,
-  "nutty</w>": 39846,
-  "nv": 17217,
-  "nv</w>": 16985,
-  "nvi": 22847,
-  "nvidia</w>": 27325,
-  "nw": 7826,
-  "nw</w>": 7030,
-  "nwa</w>": 34237,
-  "nwo</w>": 40976,
-  "nws": 23333,
-  "nws</w>": 30998,
-  "nwsl</w>": 48394,
-  "nwt</w>": 25029,
-  "nx": 18810,
-  "nx</w>": 16997,
-  "nxt": 35037,
-  "nxt</w>": 17804,
-  "ny": 1383,
-  "ny</w>": 1350,
-  "nya</w>": 24165,
-  "nyc": 13304,
-  "nyc</w>": 2832,
-  "nycc</w>": 27187,
-  "nycfc</w>": 47497,
-  "nye": 40723,
-  "nye</w>": 13416,
-  "nyfw</w>": 21089,
-  "nyk</w>": 46841,
-  "nylon</w>": 25915,
-  "nyo": 41534,
-  "nyo</w>": 44586,
-  "nypd": 42293,
-  "nypd</w>": 18279,
-  "nyr</w>": 32538,
-  "nyrd</w>": 47936,
-  "nys": 36375,
-  "nys</w>": 23423,
-  "nyse</w>": 32650,
-  "nyt": 46311,
-  "nyt</w>": 12816,
-  "nytimes</w>": 13772,
-  "nyu": 43143,
-  "nyu</w>": 31355,
-  "nz": 10142,
-  "nz</w>": 7082,
-  "o": 78,
-  "o</w>": 334,
-  "oa</w>": 11994,
-  "oahu</w>": 37790,
-  "oak": 6010,
-  "oak</w>": 7221,
-  "oakland": 42663,
-  "oakland</w>": 12077,
-  "oakley</w>": 27810,
-  "oaks</w>": 16734,
-  "oakville</w>": 38500,
-  "oasis</w>": 18185,
-  "oat": 20095,
-  "oat</w>": 34132,
-  "oates</w>": 47094,
-  "oath</w>": 20108,
-  "oatmeal</w>": 26374,
-  "oats</w>": 24150,
-  "oax": 43090,
-  "oaxaca</w>": 47818,
-  "ob": 1411,
-  "ob</w>": 14908,
-  "oba": 42902,
-  "oba</w>": 15147,
-  "obam": 13174,
-  "obama</w>": 4276,
-  "obamacare</w>": 18005,
-  "obe": 11897,
-  "obe</w>": 29117,
-  "obedience</w>": 48921,
-  "ober": 15284,
-  "obese</w>": 41757,
-  "obesity</w>": 19499,
-  "obey</w>": 26926,
-  "obi": 21454,
-  "obi</w>": 18414,
-  "obile</w>": 20513,
-  "obitu": 39218,
-  "obituary</w>": 43580,
-  "objec": 7970,
-  "object</w>": 14115,
-  "objective</w>": 23663,
-  "objectives</w>": 30238,
-  "objects</w>": 13770,
-  "obl": 31452,
-  "oblast</w>": 42672,
-  "obli": 11416,
-  "obligation</w>": 34473,
-  "obligations</w>": 38232,
-  "obligatory</w>": 35020,
-  "oblivion</w>": 45323,
-  "obo": 46001,
-  "obo</w>": 26618,
-  "obrien</w>": 31946,
-  "obs</w>": 39162,
-  "obsc": 20392,
-  "obscure</w>": 33337,
-  "obse": 8433,
-  "observ": 9050,
-  "observation</w>": 20250,
-  "observations</w>": 27409,
-  "observatory</w>": 21236,
-  "observe</w>": 23217,
-  "observed</w>": 21267,
-  "observer</w>": 22077,
-  "observers</w>": 47544,
-  "observing</w>": 28359,
-  "obsessed</w>": 9744,
-  "obsession</w>": 15718,
-  "obsi": 47323,
-  "obsole": 35561,
-  "obsolete</w>": 40628,
-  "obst": 29398,
-  "obstac": 24075,
-  "obstacle</w>": 29751,
-  "obstacles</w>": 24480,
-  "obste": 49103,
-  "obstru": 44876,
-  "obstruc": 38762,
-  "obstruction</w>": 40240,
-  "obtain</w>": 26555,
-  "obtained</w>": 29322,
-  "obvious</w>": 13959,
-  "obviously</w>": 10068,
-  "oc": 1566,
-  "oc</w>": 6603,
-  "oca</w>": 31120,
-  "ocal</w>": 38148,
-  "occ</w>": 43940,
-  "occa": 8530,
-  "occasion</w>": 12280,
-  "occasional</w>": 33059,
-  "occasionally</w>": 32479,
-  "occasions</w>": 26154,
-  "occer</w>": 20804,
-  "occi": 42994,
-  "occu": 7863,
-  "occult</w>": 42529,
-  "occup": 11152,
-  "occupation</w>": 18624,
-  "occupational</w>": 30644,
-  "occupied</w>": 17271,
-  "occupy": 22453,
-  "occupy</w>": 24210,
-  "occur": 11264,
-  "occur</w>": 21813,
-  "occurred</w>": 19850,
-  "occurrence</w>": 40615,
-  "occurring</w>": 31335,
-  "occurs</w>": 26563,
-  "ocd</w>": 35904,
-  "oce": 3509,
-  "ocean": 12941,
-  "ocean</w>": 4918,
-  "oceans</w>": 16792,
-  "och": 29334,
-  "och</w>": 32011,
-  "oche</w>": 33045,
-  "oci": 9891,
-  "ocity": 46039,
-  "ock": 33579,
-  "ock</w>": 21313,
-  "ocks</w>": 22410,
-  "oclock</w>": 36274,
-  "oco</w>": 32553,
-  "ocon</w>": 33090,
-  "ocr": 45813,
-  "ocre</w>": 40320,
-  "ocs</w>": 27297,
-  "oct</w>": 4565,
-  "octa": 23444,
-  "octag": 37768,
-  "octagon</w>": 49167,
-  "octane</w>": 43040,
-  "octavia</w>": 47416,
-  "octo": 31032,
-  "october</w>": 3481,
-  "octopus</w>": 22327,
-  "ocu": 22709,
-  "oculus</w>": 30082,
-  "od": 4886,
-  "od</w>": 9719,
-  "oda</w>": 24777,
-  "oday</w>": 41954,
-  "odd": 15525,
-  "odd</w>": 11387,
-  "oddly</w>": 34213,
-  "odds</w>": 11555,
-  "ode": 19125,
-  "ode</w>": 19639,
-  "odell</w>": 41556,
-  "odessa</w>": 43574,
-  "odi": 12223,
-  "odi</w>": 18853,
-  "odin</w>": 35175,
-  "odisha</w>": 15737,
-  "odo": 49188,
-  "odo</w>": 40993,
-  "odor</w>": 39509,
-  "odu": 35095,
-  "odu</w>": 39904,
-  "odyssey</w>": 19991,
-  "oe": 24251,
-  "oe</w>": 11667,
-  "oec": 24288,
-  "oecd</w>": 30816,
-  "oem</w>": 29650,
-  "oes</w>": 3643,
-  "of": 684,
-  "of</w>": 539,
-  "ofa</w>": 29774,
-  "ofc</w>": 19877,
-  "ofe": 30000,
-  "ofer": 47322,
-  "off": 892,
-  "off</w>": 1007,
-  "offe": 8261,
-  "offee</w>": 34059,
-  "offen": 7231,
-  "offence</w>": 34594,
-  "offences</w>": 33972,
-  "offended</w>": 30765,
-  "offender</w>": 48294,
-  "offenders</w>": 35878,
-  "offense</w>": 15253,
-  "offensive</w>": 11037,
-  "offer": 20607,
-  "offer</w>": 3271,
-  "offered</w>": 9395,
-  "offering</w>": 6896,
-  "offerings</w>": 24535,
-  "offers</w>": 4679,
-  "offic": 3276,
-  "office": 18033,
-  "office</w>": 2171,
-  "officeof": 38750,
-  "officeofrg</w>": 47100,
-  "officer</w>": 4683,
-  "officers</w>": 6335,
-  "offices</w>": 10933,
-  "offici": 1401,
-  "official": 5768,
-  "official</w>": 1868,
-  "officially</w>": 4226,
-  "officials</w>": 7658,
-  "officiel</w>": 26548,
-  "offl</w>": 16851,
-  "offline</w>": 22724,
-  "offro": 32198,
-  "offroad</w>": 37173,
-  "offs</w>": 23987,
-  "offseason</w>": 25485,
-  "offset</w>": 28843,
-  "offshore</w>": 15496,
-  "offside</w>": 49347,
-  "offspring</w>": 38635,
-  "offthe": 38189,
-  "ofi": 36692,
-  "ofi</w>": 49090,
-  "oficial</w>": 18061,
-  "oft</w>": 16693,
-  "oftball</w>": 39768,
-  "often</w>": 4864,
-  "ofthe": 7592,
-  "oftheday</w>": 6988,
-  "oftheweek</w>": 20654,
-  "oftheyear</w>": 33975,
-  "og": 11542,
-  "og</w>": 8555,
-  "oga</w>": 47312,
-  "ogden</w>": 42011,
-  "ogil": 39013,
-  "ography</w>": 22399,
-  "ogue</w>": 24761,
-  "ogun": 48970,
-  "oh": 5648,
-  "oh</w>": 1779,
-  "ohana</w>": 48330,
-  "ohh</w>": 23076,
-  "ohhh</w>": 27697,
-  "ohhhh</w>": 40201,
-  "ohi": 5207,
-  "ohio": 18951,
-  "ohio</w>": 6155,
-  "ohiostate</w>": 41324,
-  "ohl": 45547,
-  "ohl</w>": 41095,
-  "ohmy": 29758,
-  "ohn</w>": 48043,
-  "ohs</w>": 39542,
-  "ohwx</w>": 47993,
-  "oi": 27357,
-  "oi</w>": 13934,
-  "oic</w>": 45554,
-  "oid</w>": 14758,
-  "oids</w>": 21847,
-  "oil": 11973,
-  "oil</w>": 2870,
-  "oiland": 32316,
-  "oilandgas</w>": 34130,
-  "oilers</w>": 21627,
-  "oilpainting</w>": 34279,
-  "oils</w>": 17886,
-  "oily</w>": 47550,
-  "oir": 48079,
-  "oir</w>": 37113,
-  "ois</w>": 23262,
-  "oit": 18453,
-  "oitnb</w>": 34865,
-  "oj": 30986,
-  "oj</w>": 34553,
-  "ok": 1944,
-  "ok</w>": 2481,
-  "oka": 42258,
-  "oka</w>": 19092,
-  "okan": 41263,
-  "okanagan</w>": 43233,
-  "okay</w>": 4917,
-  "okc": 42418,
-  "okc</w>": 18357,
-  "oke": 26636,
-  "oke</w>": 23598,
-  "oki</w>": 20390,
-  "okin": 30687,
-  "okinawa</w>": 35877,
-  "okla": 9431,
-  "oklahoma</w>": 10170,
-  "oko": 26892,
-  "oko</w>": 26095,
-  "okstate</w>": 36356,
-  "oktoberfest</w>": 32026,
-  "oku": 45010,
-  "oku</w>": 43829,
-  "okwx</w>": 27336,
-  "ol": 562,
-  "ol</w>": 2985,
-  "ola": 20499,
-  "ola</w>": 3373,
-  "olaf</w>": 39709,
-  "olan": 48489,
-  "olan</w>": 24227,
-  "oland</w>": 26452,
-  "olas</w>": 40800,
-  "old": 4931,
-  "old</w>": 896,
-  "olde</w>": 37731,
-  "older</w>": 7700,
-  "oldest</w>": 9285,
-  "oldham</w>": 29929,
-  "oldie</w>": 35280,
-  "oldies</w>": 36278,
-  "oldman</w>": 48614,
-  "olds</w>": 8580,
-  "oldschool": 44384,
-  "oldschool</w>": 25133,
-  "oldsmobile</w>": 45396,
-  "ole": 9089,
-  "ole</w>": 1947,
-  "oled</w>": 46768,
-  "oler": 24069,
-  "oles</w>": 16962,
-  "olf</w>": 16346,
-  "olga</w>": 34779,
-  "oli": 3811,
-  "oli</w>": 8810,
-  "olic</w>": 31341,
-  "oligar": 46185,
-  "olim": 47769,
-  "olin": 37823,
-  "olin</w>": 18283,
-  "olina</w>": 34711,
-  "oline</w>": 17441,
-  "oling</w>": 38033,
-  "olini</w>": 36040,
-  "olis</w>": 49397,
-  "olithic</w>": 35574,
-  "olive": 22486,
-  "olive</w>": 9898,
-  "oliver": 22882,
-  "oliver</w>": 9261,
-  "olives</w>": 27149,
-  "olivi": 20773,
-  "olivia</w>": 11697,
-  "olivier</w>": 23891,
-  "oll": 32270,
-  "oll</w>": 15510,
-  "olla</w>": 31908,
-  "ollie</w>": 24434,
-  "olls</w>": 42697,
-  "olly</w>": 23998,
-  "olo": 14628,
-  "olo</w>": 7606,
-  "ological</w>": 12345,
-  "ologist</w>": 23442,
-  "ologists</w>": 30912,
-  "ology</w>": 4627,
-  "olor</w>": 29245,
-  "olph</w>": 25077,
-  "ols</w>": 2236,
-  "olsen</w>": 26307,
-  "olson</w>": 28046,
-  "olt</w>": 46252,
-  "olu": 16502,
-  "olu</w>": 46302,
-  "olulu</w>": 27645,
-  "oly": 20323,
-  "oly</w>": 24823,
-  "olym": 3594,
-  "olympi": 13597,
-  "olympia</w>": 23965,
-  "olympiad</w>": 47694,
-  "olympian</w>": 25420,
-  "olympians</w>": 44583,
-  "olympic": 26099,
-  "olympic</w>": 6388,
-  "olympics</w>": 7629,
-  "olympus</w>": 30960,
-  "om": 547,
-  "om</w>": 3932,
-  "oma": 44603,
-  "oma</w>": 5358,
-  "omaha</w>": 16509,
-  "oman": 22088,
-  "oman</w>": 10871,
-  "omar": 19488,
-  "omar</w>": 13367,
-  "omars</w>": 37099,
-  "omas</w>": 36023,
-  "omat": 40788,
-  "omb</w>": 34447,
-  "ombe</w>": 35967,
-  "omd</w>": 49346,
-  "ome": 3693,
-  "ome</w>": 5832,
-  "omed</w>": 16835,
-  "omega</w>": 13465,
-  "omelette</w>": 38789,
-  "omen": 9969,
-  "omen</w>": 25469,
-  "oment</w>": 43683,
-  "omeo</w>": 39844,
-  "omer": 24087,
-  "omer</w>": 17902,
-  "omes</w>": 25736,
-  "ometer</w>": 20060,
-  "ometric</w>": 38702,
-  "omez</w>": 12541,
-  "omf</w>": 47496,
-  "omfg</w>": 12523,
-  "omg": 35233,
-  "omg</w>": 3186,
-  "omi": 24097,
-  "omi</w>": 10341,
-  "omic": 40536,
-  "omic</w>": 12793,
-  "omics</w>": 15138,
-  "omile</w>": 46915,
-  "omin": 16457,
-  "omination</w>": 42571,
-  "oming</w>": 10796,
-  "ominous</w>": 40914,
-  "omni": 18793,
-  "omni</w>": 39489,
-  "omnibus</w>": 44760,
-  "omnic": 48383,
-  "omo": 14478,
-  "omo</w>": 11066,
-  "omon": 48758,
-  "omor": 29431,
-  "oms</w>": 3770,
-  "omusic</w>": 38965,
-  "omy": 40805,
-  "omy</w>": 6884,
-  "on": 521,
-  "on</w>": 525,
-  "ona</w>": 2687,
-  "onair</w>": 29511,
-  "onal</w>": 918,
-  "onboard</w>": 21689,
-  "once": 16331,
-  "once</w>": 2654,
-  "onceupon": 28122,
-  "onceuponatime</w>": 33505,
-  "onco": 46700,
-  "oncology</w>": 24593,
-  "ond": 27918,
-  "ond</w>": 2636,
-  "onda</w>": 32643,
-  "onday</w>": 29864,
-  "onde</w>": 44532,
-  "ondo</w>": 29529,
-  "ondon": 42043,
-  "ondon</w>": 11851,
-  "one": 1980,
-  "one</w>": 637,
-  "onec": 27746,
-  "oned": 28012,
-  "oned</w>": 4698,
-  "onedirection</w>": 16245,
-  "onee</w>": 44433,
-  "oneill</w>": 44808,
-  "onelove</w>": 47417,
-  "onent</w>": 12147,
-  "onents</w>": 11709,
-  "oneof": 48478,
-  "onep": 20440,
-  "onepiece</w>": 43153,
-  "oneplus</w>": 25981,
-  "oner": 30055,
-  "oner</w>": 6071,
-  "oners</w>": 12324,
-  "ones": 20757,
-  "ones</w>": 1575,
-  "oneself</w>": 46874,
-  "onesie</w>": 33237,
-  "oness</w>": 25379,
-  "onet</w>": 36058,
-  "oneteam</w>": 41094,
-  "onetsy</w>": 33392,
-  "onew</w>": 43848,
-  "onews</w>": 18696,
-  "onex</w>": 49116,
-  "oney": 44498,
-  "oney</w>": 9408,
-  "onf</w>": 41790,
-  "onfox</w>": 29874,
-  "ong": 2787,
-  "ong</w>": 846,
-  "onga</w>": 30259,
-  "ongchang</w>": 35071,
-  "ongi</w>": 21754,
-  "ongo</w>": 31226,
-  "ongoing</w>": 10393,
-  "ongs</w>": 12143,
-  "oni": 4385,
-  "oni</w>": 8048,
-  "onia</w>": 8001,
-  "onial</w>": 27599,
-  "onian</w>": 21090,
-  "onic": 15838,
-  "onic</w>": 3711,
-  "onica</w>": 14631,
-  "onics</w>": 9779,
-  "onie</w>": 35249,
-  "onies</w>": 22601,
-  "onimo</w>": 41271,
-  "oning</w>": 5197,
-  "onion</w>": 10985,
-  "onions</w>": 15255,
-  "onist</w>": 10099,
-  "onists</w>": 19659,
-  "onix</w>": 27370,
-  "onized</w>": 43657,
-  "onlin": 31103,
-  "online": 12940,
-  "online</w>": 2027,
-  "onlinemarketing</w>": 41820,
-  "onlineshopping</w>": 38587,
-  "only": 11646,
-  "only</w>": 1033,
-  "onlyin": 32947,
-  "onna": 25438,
-  "onna</w>": 35458,
-  "onnaise</w>": 48934,
-  "onne</w>": 23466,
-  "onnell</w>": 45613,
-  "ono": 28165,
-  "ono</w>": 14388,
-  "onom": 48014,
-  "onomy</w>": 36873,
-  "onpoli</w>": 20708,
-  "ons": 26076,
-  "ons</w>": 708,
-  "onsale</w>": 36324,
-  "onset</w>": 30527,
-  "onsite</w>": 37336,
-  "onstage</w>": 21821,
-  "onstorm</w>": 49333,
-  "ont": 34303,
-  "ont</w>": 11157,
-  "ontari": 6739,
-  "ontario": 42766,
-  "ontario</w>": 7436,
-  "onte</w>": 34723,
-  "onthe": 12241,
-  "onther": 46563,
-  "ontheroad</w>": 47516,
-  "onthisday</w>": 6862,
-  "onto": 11745,
-  "onto</w>": 3141,
-  "ontology</w>": 37364,
-  "ontour</w>": 32155,
-  "onu": 44142,
-  "onward</w>": 34827,
-  "onwards</w>": 20682,
-  "ony": 9490,
-  "ony</w>": 2926,
-  "onym": 11483,
-  "onymous</w>": 13038,
-  "onyx</w>": 31353,
-  "oo": 574,
-  "oo</w>": 2822,
-  "ood": 16429,
-  "ood</w>": 738,
-  "oodle</w>": 45289,
-  "oods</w>": 44660,
-  "oof</w>": 42270,
-  "ooh</w>": 16806,
-  "ook": 22326,
-  "ook</w>": 8394,
-  "ooks</w>": 31082,
-  "ool": 37702,
-  "ool</w>": 929,
-  "oom": 22786,
-  "oom</w>": 15002,
-  "oomf</w>": 40607,
-  "oon": 35651,
-  "oon</w>": 7100,
-  "ooo</w>": 9571,
-  "oooh</w>": 28927,
-  "oooo": 4002,
-  "oooo</w>": 13643,
-  "ooooo</w>": 12532,
-  "oooooo": 43590,
-  "oooooo</w>": 20372,
-  "ooooooo</w>": 30859,
-  "oooooooo": 15473,
-  "oooooooo</w>": 43408,
-  "oooooooooooooooo": 48645,
-  "oop</w>": 7326,
-  "ooper</w>": 39906,
-  "oops</w>": 9116,
-  "oor</w>": 35239,
-  "oos</w>": 9896,
-  "oosa</w>": 30834,
-  "oose</w>": 38941,
-  "oot</w>": 17667,
-  "ootball</w>": 28914,
-  "ootd</w>": 16547,
-  "ooth</w>": 12682,
-  "oott</w>": 34316,
-  "ooza</w>": 22809,
-  "op": 676,
-  "op</w>": 3691,
-  "opa</w>": 28949,
-  "opal</w>": 28982,
-  "opar": 18167,
-  "opath": 33079,
-  "opathic</w>": 37521,
-  "opathy</w>": 28466,
-  "opau": 27239,
-  "opd</w>": 38288,
-  "ope": 31694,
-  "ope</w>": 11440,
-  "opec</w>": 33138,
-  "opel</w>": 36952,
-  "open": 3647,
-  "open</w>": 1488,
-  "openaccess</w>": 26591,
-  "opend": 28069,
-  "opendata</w>": 35709,
-  "openday</w>": 46991,
-  "opened</w>": 5303,
-  "opener</w>": 8998,
-  "openhouse</w>": 36091,
-  "opening": 33728,
-  "opening</w>": 2516,
-  "openingday</w>": 36359,
-  "openings</w>": 27643,
-  "openly</w>": 23005,
-  "opens</w>": 4801,
-  "opensource</w>": 29930,
-  "oper": 2796,
-  "oper</w>": 37533,
-  "opera</w>": 8056,
-  "operate</w>": 19306,
-  "operated</w>": 23031,
-  "operates</w>": 38675,
-  "operating</w>": 12218,
-  "operation": 27173,
-  "operation</w>": 7639,
-  "operational</w>": 18237,
-  "operations</w>": 8106,
-  "operative</w>": 28380,
-  "operator</w>": 15972,
-  "operators</w>": 19267,
-  "opers</w>": 48728,
-  "opes</w>": 37258,
-  "oph": 6796,
-  "opha": 38634,
-  "ophel": 45017,
-  "ophelia</w>": 49118,
-  "ophi": 44547,
-  "ophile</w>": 35915,
-  "opho": 12900,
-  "ophobia</w>": 21111,
-  "ophobic</w>": 29934,
-  "ophon": 25120,
-  "ophone</w>": 26345,
-  "ophthal": 33135,
-  "ophy": 28539,
-  "opi": 40056,
-  "opi</w>": 48994,
-  "opin": 7636,
-  "opini": 14825,
-  "opinion</w>": 7843,
-  "opinions</w>": 16192,
-  "opio": 17371,
-  "opioid</w>": 22833,
-  "opioids</w>": 47578,
-  "opla": 36270,
-  "ople</w>": 25663,
-  "opol": 15173,
-  "opoly</w>": 23729,
-  "opor": 39650,
-  "opoulos</w>": 42020,
-  "opp": 2020,
-  "opp</w>": 21024,
-  "oppa</w>": 23637,
-  "oppo": 7399,
-  "oppo</w>": 41770,
-  "opponent</w>": 17002,
-  "opponents</w>": 19664,
-  "oppor": 2914,
-  "opportun": 2939,
-  "opportunities</w>": 5978,
-  "opportunity</w>": 4004,
-  "oppos": 10091,
-  "oppose</w>": 23617,
-  "opposed</w>": 22509,
-  "opposes</w>": 47471,
-  "opposing</w>": 24376,
-  "opposite</w>": 12872,
-  "opposition</w>": 11062,
-  "oppre": 17341,
-  "oppressed</w>": 41492,
-  "oppression</w>": 30650,
-  "opra</w>": 28291,
-  "oprah</w>": 22562,
-  "opry</w>": 35340,
-  "ops</w>": 3054,
-  "opt": 45103,
-  "opt</w>": 27188,
-  "opted</w>": 42035,
-  "opti": 6580,
-  "optic": 25190,
-  "optic</w>": 24755,
-  "optical</w>": 16822,
-  "optics</w>": 27165,
-  "optim": 22331,
-  "optimal</w>": 25235,
-  "optimi": 9737,
-  "optimis": 39459,
-  "optimism</w>": 25226,
-  "optimist</w>": 44581,
-  "optimistic</w>": 23104,
-  "optimization</w>": 25125,
-  "optimize</w>": 30456,
-  "optimized</w>": 43939,
-  "optimizing</w>": 49157,
-  "optimum</w>": 35974,
-  "optimus</w>": 43453,
-  "option</w>": 8464,
-  "optional</w>": 25411,
-  "options</w>": 7063,
-  "optome": 35533,
-  "opul": 39858,
-  "opus</w>": 33295,
-  "opy</w>": 21835,
-  "or": 523,
-  "or</w>": 541,
-  "ora</w>": 4301,
-  "orac": 24673,
-  "oracle": 37308,
-  "oracle</w>": 15966,
-  "orah</w>": 40820,
-  "orail</w>": 45120,
-  "oral": 32490,
-  "oral</w>": 6007,
-  "orama</w>": 33619,
-  "oran": 32209,
-  "oran</w>": 28395,
-  "orang": 22116,
-  "orange": 13957,
-  "orange</w>": 4287,
-  "oranges</w>": 32417,
-  "orangu": 36112,
-  "orb": 28894,
-  "orb</w>": 36958,
-  "orbit</w>": 19713,
-  "orbital</w>": 40312,
-  "orc</w>": 44305,
-  "orca</w>": 18631,
-  "orcas</w>": 47676,
-  "orch": 11893,
-  "orchar": 40226,
-  "orchard</w>": 19530,
-  "orche": 8004,
-  "orchestr": 42937,
-  "orchestra</w>": 9573,
-  "orchestral</w>": 40285,
-  "orchi": 23696,
-  "orchid</w>": 18678,
-  "orchids</w>": 28376,
-  "ord": 26903,
-  "ord</w>": 11502,
-  "orda": 33462,
-  "ordained</w>": 38302,
-  "order": 24613,
-  "order</w>": 2191,
-  "ordered</w>": 8335,
-  "ordering</w>": 19588,
-  "orderly</w>": 43457,
-  "orders</w>": 6187,
-  "ordin": 4378,
-  "ordinance</w>": 38583,
-  "ordinary</w>": 8012,
-  "ore": 3580,
-  "ore</w>": 1423,
-  "orean</w>": 36696,
-  "ored</w>": 5133,
-  "oregon": 21759,
-  "oregon</w>": 8035,
-  "oren": 21645,
-  "oreo</w>": 21873,
-  "oreos</w>": 41688,
-  "ores</w>": 17328,
-  "org": 3401,
-  "org</w>": 5593,
-  "organ": 3338,
-  "organ</w>": 13213,
-  "organi": 3636,
-  "organic": 24080,
-  "organic</w>": 5980,
-  "organics</w>": 44199,
-  "organis": 13204,
-  "organisation</w>": 15868,
-  "organisations</w>": 20651,
-  "organise</w>": 36073,
-  "organised</w>": 13191,
-  "organiser</w>": 49141,
-  "organisers</w>": 35778,
-  "organising</w>": 22787,
-  "organisms</w>": 37041,
-  "organiz": 11107,
-  "organization</w>": 8064,
-  "organizational</w>": 29510,
-  "organizations</w>": 13453,
-  "organize</w>": 19973,
-  "organized</w>": 10681,
-  "organizer</w>": 23905,
-  "organizers</w>": 27191,
-  "organizing</w>": 15779,
-  "organs</w>": 29872,
-  "orgs</w>": 29500,
-  "ori": 1540,
-  "ori</w>": 8693,
-  "oria</w>": 11474,
-  "orial</w>": 8648,
-  "orian</w>": 21193,
-  "oric</w>": 43810,
-  "orice</w>": 41341,
-  "orie</w>": 18815,
-  "orient": 13149,
-  "orient</w>": 30770,
-  "oriental</w>": 23056,
-  "orientation</w>": 16873,
-  "oriente": 40390,
-  "oriented</w>": 24596,
-  "orienteering</w>": 42985,
-  "ories</w>": 5934,
-  "orig": 2273,
-  "orig</w>": 38463,
-  "origami</w>": 31832,
-  "origin": 2555,
-  "origin</w>": 12372,
-  "original": 18496,
-  "original</w>": 3117,
-  "originally</w>": 12849,
-  "originals</w>": 16953,
-  "originated</w>": 41823,
-  "origins</w>": 16291,
-  "orin</w>": 39863,
-  "oring</w>": 3006,
-  "orio</w>": 24308,
-  "orioles</w>": 21430,
-  "orion</w>": 21765,
-  "oris</w>": 37064,
-  "orities</w>": 7903,
-  "ority</w>": 5556,
-  "orium</w>": 12015,
-  "ork": 22202,
-  "ork</w>": 37235,
-  "orkney</w>": 34254,
-  "orl</w>": 39465,
-  "orlando": 32247,
-  "orlando</w>": 7827,
-  "orleans</w>": 11127,
-  "orm</w>": 38464,
-  "orn": 25412,
-  "orn</w>": 8130,
-  "ornam": 36122,
-  "ornament</w>": 23409,
-  "ornamental</w>": 46270,
-  "ornaments</w>": 28968,
-  "ornate</w>": 46865,
-  "orni": 27713,
-  "ornithology</w>": 38275,
-  "orns</w>": 19340,
-  "oro": 9848,
-  "oro</w>": 14573,
-  "orous</w>": 19286,
-  "orph": 17318,
-  "orphan": 22718,
-  "orphan</w>": 28994,
-  "orphanage</w>": 45196,
-  "orphaned</w>": 46792,
-  "orphans</w>": 36588,
-  "orphe": 39186,
-  "orr</w>": 32977,
-  "ors</w>": 1127,
-  "orship</w>": 20846,
-  "ort</w>": 1019,
-  "ortega</w>": 39727,
-  "orth": 22584,
-  "orth</w>": 24461,
-  "ortho": 11366,
-  "orthodon": 37730,
-  "orthodox</w>": 19008,
-  "orthop": 42123,
-  "orthopedic</w>": 49341,
-  "ortiz</w>": 23544,
-  "orton</w>": 37238,
-  "oru": 44629,
-  "oru</w>": 31281,
-  "orum</w>": 42724,
-  "orwell</w>": 41218,
-  "ory": 16983,
-  "ory</w>": 1985,
-  "os": 2211,
-  "os</w>": 1299,
-  "osa": 16340,
-  "osa</w>": 17237,
-  "osaka</w>": 21347,
-  "osborne</w>": 22402,
-  "osbourne</w>": 43376,
-  "osc": 5092,
-  "oscar": 21157,
-  "oscar</w>": 8191,
-  "oscars</w>": 11098,
-  "osce</w>": 37303,
-  "oscill": 38272,
-  "ose": 46942,
-  "ose</w>": 22541,
-  "osh": 30717,
-  "osh</w>": 35011,
-  "osha</w>": 33907,
-  "oshi</w>": 34770,
-  "osi": 25247,
-  "osi</w>": 17636,
-  "osis</w>": 13903,
-  "osity</w>": 12730,
-  "oslo</w>": 20547,
-  "osm": 31626,
-  "osman</w>": 46539,
-  "oso": 42793,
-  "oso</w>": 21285,
-  "osp": 24387,
-  "ospre": 49001,
-  "osprey</w>": 37893,
-  "oss": 29362,
-  "oss</w>": 34640,
-  "ost": 23701,
-  "ost</w>": 18749,
-  "oste": 20632,
-  "osteo": 43163,
-  "oster": 31781,
-  "ostr": 33673,
-  "ostrich</w>": 47640,
-  "osu": 29480,
-  "osu</w>": 19818,
-  "oswald</w>": 38471,
-  "ot": 1863,
-  "ot</w>": 2062,
-  "ota": 17509,
-  "ota</w>": 8741,
-  "otago</w>": 45919,
-  "otaku</w>": 40743,
-  "otas</w>": 47616,
-  "otc</w>": 37934,
-  "otd</w>": 5683,
-  "ote": 28511,
-  "ote</w>": 19744,
-  "otes</w>": 27280,
-  "oth": 33262,
-  "oth</w>": 33519,
-  "other": 9758,
-  "other</w>": 1010,
-  "others</w>": 3326,
-  "otherwise</w>": 12376,
-  "oti": 19567,
-  "oti</w>": 45564,
-  "otic</w>": 9671,
-  "otis</w>": 28246,
-  "otive</w>": 10877,
-  "oto": 23946,
-  "oto</w>": 23399,
-  "otp</w>": 29822,
-  "otr</w>": 38685,
-  "ots</w>": 5769,
-  "ott": 10167,
-  "ott</w>": 7936,
-  "otta": 7623,
-  "otta</w>": 20941,
-  "ottawa": 49027,
-  "ottawa</w>": 9019,
-  "otte</w>": 35214,
-  "otter": 34710,
-  "otter</w>": 22456,
-  "otters</w>": 38883,
-  "otti</w>": 36721,
-  "ottnews</w>": 33995,
-  "otto</w>": 17730,
-  "ottoman</w>": 27503,
-  "otw</w>": 35259,
-  "otwol": 46868,
-  "ou": 520,
-  "ou</w>": 6544,
-  "ouat</w>": 32954,
-  "ouch</w>": 13493,
-  "oud</w>": 1359,
-  "oue</w>": 48838,
-  "ouf</w>": 34618,
-  "ough": 4204,
-  "ough</w>": 991,
-  "ought</w>": 2253,
-  "oughton</w>": 36860,
-  "oui</w>": 39421,
-  "ouk</w>": 21796,
-  "oul": 20253,
-  "oul</w>": 8081,
-  "ould</w>": 859,
-  "oulos</w>": 32808,
-  "oun": 636,
-  "oun</w>": 20960,
-  "ounce</w>": 15027,
-  "ounces</w>": 30299,
-  "ound": 2013,
-  "ound</w>": 853,
-  "oundation</w>": 40132,
-  "ounded</w>": 9634,
-  "ounding</w>": 11944,
-  "ounds</w>": 2753,
-  "oung": 35875,
-  "oung</w>": 25341,
-  "ounge</w>": 29427,
-  "ount": 43801,
-  "ount</w>": 4172,
-  "ounts</w>": 10963,
-  "oup</w>": 32815,
-  "our": 727,
-  "our</w>": 581,
-  "oura": 29806,
-  "oura</w>": 36352,
-  "ourable</w>": 24126,
-  "ourage</w>": 34525,
-  "oural</w>": 45840,
-  "oured</w>": 6956,
-  "ouri": 12696,
-  "ouring</w>": 12000,
-  "ourism</w>": 25496,
-  "ourke</w>": 26480,
-  "ourlives</w>": 37541,
-  "ouro": 41224,
-  "ours</w>": 1491,
-  "ourse</w>": 15415,
-  "ourselves</w>": 10124,
-  "ourt</w>": 22960,
-  "oury</w>": 29484,
-  "ous": 1987,
-  "ous</w>": 879,
-  "ouse": 32048,
-  "ouse</w>": 7603,
-  "ouses</w>": 33666,
-  "ously</w>": 2501,
-  "ousness</w>": 10689,
-  "ousy</w>": 28302,
-  "out": 1130,
-  "out</w>": 620,
-  "outa</w>": 35187,
-  "outage</w>": 27320,
-  "outages</w>": 40353,
-  "outback</w>": 28532,
-  "outbound</w>": 41256,
-  "outbreak</w>": 20103,
-  "outcome</w>": 16552,
-  "outcomes</w>": 14016,
-  "outdated</w>": 38313,
-  "outdoor": 19184,
-  "outdoor</w>": 6368,
-  "outdoors</w>": 10469,
-  "oute</w>": 44180,
-  "outed</w>": 34435,
-  "outer": 30499,
-  "outer</w>": 14188,
-  "outes</w>": 39600,
-  "outfield</w>": 41826,
-  "outfit</w>": 6525,
-  "outfits</w>": 16366,
-  "outfitters</w>": 37725,
-  "outfy</w>": 34920,
-  "outgoing</w>": 27302,
-  "outh": 16933,
-  "outh</w>": 8111,
-  "outine</w>": 35452,
-  "outing</w>": 11251,
-  "outlander": 45820,
-  "outlander</w>": 17095,
-  "outlaw": 37498,
-  "outlaw</w>": 27340,
-  "outlaws</w>": 30935,
-  "outlet</w>": 16855,
-  "outlets</w>": 20822,
-  "outline</w>": 26894,
-  "outlines</w>": 29159,
-  "outlining</w>": 45960,
-  "outlook</w>": 12983,
-  "outof": 43958,
-  "outpatient</w>": 46603,
-  "outpost</w>": 44622,
-  "output</w>": 17255,
-  "outra": 14262,
-  "outrage</w>": 23577,
-  "outraged</w>": 43402,
-  "outrageous</w>": 29342,
-  "outre": 14373,
-  "outreach</w>": 15297,
-  "outright</w>": 38200,
-  "outs</w>": 5790,
-  "outsi": 22515,
-  "outside": 47693,
-  "outside</w>": 2782,
-  "outsider</w>": 41196,
-  "outsiders</w>": 41742,
-  "outskirts</w>": 42088,
-  "outsourcing</w>": 34543,
-  "outstanding</w>": 6387,
-  "outta</w>": 15807,
-  "outtuesday</w>": 48692,
-  "outw": 34650,
-  "oux": 40960,
-  "oux</w>": 14228,
-  "ov": 6420,
-  "ov</w>": 8479,
-  "ova</w>": 12762,
-  "oval</w>": 15039,
-  "ovarian</w>": 42913,
-  "ovation</w>": 24333,
-  "ove": 8649,
-  "ove</w>": 15456,
-  "oven": 44620,
-  "oven</w>": 12579,
-  "over": 1658,
-  "over</w>": 962,
-  "overall</w>": 6914,
-  "overboard</w>": 42982,
-  "overcame</w>": 47235,
-  "overcast</w>": 36942,
-  "overcome</w>": 14365,
-  "overcoming</w>": 29348,
-  "overdose</w>": 27017,
-  "overdrive</w>": 40088,
-  "overdue</w>": 30240,
-  "overflow</w>": 32885,
-  "overflowing</w>": 45370,
-  "overhaul</w>": 31531,
-  "overhead</w>": 20321,
-  "overland</w>": 38808,
-  "overlay</w>": 44827,
-  "overload</w>": 24327,
-  "overlook</w>": 35767,
-  "overlooked</w>": 27632,
-  "overlooking</w>": 17319,
-  "overly</w>": 28820,
-  "overnight</w>": 9913,
-  "overpass</w>": 44310,
-  "overrated</w>": 38214,
-  "overs": 45774,
-  "overs</w>": 17329,
-  "overseas</w>": 15100,
-  "oversight</w>": 32494,
-  "oversized</w>": 31557,
-  "overtime</w>": 19347,
-  "overturned</w>": 31048,
-  "overview</w>": 14789,
-  "overwatch</w>": 18124,
-  "overweight</w>": 43465,
-  "overwhel": 12204,
-  "overwhelmed</w>": 23459,
-  "overwhelming</w>": 20306,
-  "overwhelmingly</w>": 43549,
-  "ovi": 32508,
-  "ovic</w>": 22417,
-  "ovich</w>": 27623,
-  "ovie": 47677,
-  "ovo": 41920,
-  "ovo</w>": 18065,
-  "ovski</w>": 26167,
-  "ow": 2032,
-  "ow</w>": 2250,
-  "owa</w>": 32770,
-  "owe</w>": 19073,
-  "owed</w>": 37641,
-  "owen": 24838,
-  "owen</w>": 12056,
-  "owens</w>": 20664,
-  "owes</w>": 35069,
-  "owing</w>": 48582,
-  "owl": 34332,
-  "owl</w>": 9899,
-  "owls</w>": 18247,
-  "own": 3845,
-  "own</w>": 1758,
-  "owned</w>": 8536,
-  "owner</w>": 5019,
-  "owners</w>": 7712,
-  "ownership</w>": 16583,
-  "owning</w>": 24661,
-  "owns</w>": 17533,
-  "owo</w>": 46142,
-  "ows</w>": 27423,
-  "owski</w>": 22573,
-  "ox": 3282,
-  "ox</w>": 12071,
-  "oxfam</w>": 45466,
-  "oxford": 28588,
-  "oxford</w>": 8824,
-  "oxfordshire</w>": 37855,
-  "oxi": 33731,
-  "oxi</w>": 48147,
-  "oxid": 17701,
-  "oxide</w>": 28235,
-  "oxo</w>": 37088,
-  "oxy": 12432,
-  "oxygen</w>": 16214,
-  "oy": 6638,
-  "oy</w>": 12437,
-  "oya</w>": 38894,
-  "oye": 48677,
-  "oyster": 40545,
-  "oyster</w>": 17253,
-  "oysters</w>": 22672,
-  "oz": 10584,
-  "oz</w>": 6044,
-  "ozar": 31848,
-  "ozil</w>": 41365,
-  "ozone</w>": 37052,
-  "ozzy</w>": 39549,
-  "p": 79,
-  "p</w>": 335,
-  "pa": 765,
-  "pa</w>": 2217,
-  "paa</w>": 32812,
-  "pab": 9354,
-  "pablo": 42172,
-  "pablo</w>": 14473,
-  "pac": 2332,
-  "pac</w>": 7608,
-  "pace": 40600,
-  "pace</w>": 9450,
-  "paced</w>": 32611,
-  "pacers</w>": 23976,
-  "paces</w>": 43001,
-  "paci": 5699,
-  "pacific": 19723,
-  "pacific</w>": 6654,
-  "pacing</w>": 45202,
-  "pack": 2711,
-  "pack</w>": 3420,
-  "package</w>": 7053,
-  "packaged</w>": 29656,
-  "packages</w>": 14305,
-  "packaging</w>": 11658,
-  "packard</w>": 46421,
-  "packed</w>": 5883,
-  "packer</w>": 28209,
-  "packers</w>": 14294,
-  "packet</w>": 25022,
-  "packets</w>": 40448,
-  "packing</w>": 9829,
-  "packs</w>": 11086,
-  "paco</w>": 41364,
-  "pacqui": 28456,
-  "pacquiao</w>": 30485,
-  "pact</w>": 27182,
-  "pad": 3798,
-  "pad</w>": 7601,
-  "padded</w>": 42253,
-  "paddington</w>": 33162,
-  "paddle": 38276,
-  "paddle</w>": 20811,
-  "paddling</w>": 40645,
-  "paddock</w>": 29590,
-  "paddy": 33103,
-  "paddy</w>": 19855,
-  "padi</w>": 47037,
-  "padilla</w>": 22380,
-  "padma": 44595,
-  "padma</w>": 46457,
-  "padre</w>": 38343,
-  "padres</w>": 22829,
-  "pads</w>": 17353,
-  "paedi": 41488,
-  "paella</w>": 46924,
-  "paf": 47185,
-  "pafc</w>": 49259,
-  "pag": 4151,
-  "pag</w>": 30525,
-  "pagan</w>": 27854,
-  "page": 14996,
-  "page</w>": 2504,
-  "pageant</w>": 22139,
-  "pages</w>": 8082,
-  "pagoda</w>": 44309,
-  "pah": 41054,
-  "pah</w>": 26884,
-  "pai": 20624,
-  "pai</w>": 21198,
-  "paid</w>": 5057,
-  "paige": 33659,
-  "paige</w>": 16022,
-  "paign</w>": 31796,
-  "pain": 2141,
-  "pain</w>": 4495,
-  "paine</w>": 38069,
-  "painful</w>": 16361,
-  "pains</w>": 25639,
-  "paint": 7948,
-  "paint</w>": 5185,
-  "paintball</w>": 39730,
-  "painted</w>": 6433,
-  "painter</w>": 10888,
-  "painters</w>": 35703,
-  "painting": 49164,
-  "painting</w>": 3086,
-  "paintings</w>": 9956,
-  "paints</w>": 21672,
-  "pair": 19848,
-  "pair</w>": 4038,
-  "paired</w>": 12433,
-  "pairing</w>": 16313,
-  "pairings</w>": 41152,
-  "pairs</w>": 9950,
-  "pais": 16878,
-  "paisley</w>": 22954,
-  "pajam": 24110,
-  "pajama</w>": 40244,
-  "pajamas</w>": 37231,
-  "pak": 13186,
-  "pak</w>": 9094,
-  "paki": 3438,
-  "pakistan": 10713,
-  "pakistan</w>": 3994,
-  "pakistani</w>": 14050,
-  "pakistanis</w>": 45707,
-  "pakv": 38196,
-  "pal": 1850,
-  "pal</w>": 3611,
-  "pala</w>": 17895,
-  "palace</w>": 6381,
-  "palaces</w>": 45625,
-  "palad": 28371,
-  "palae": 43379,
-  "palais</w>": 35673,
-  "palate</w>": 34666,
-  "palawan</w>": 48202,
-  "palazzo</w>": 36006,
-  "pale": 4768,
-  "pale</w>": 12518,
-  "paleo": 36741,
-  "paleo</w>": 22198,
-  "paler": 38028,
-  "palermo</w>": 40635,
-  "palestin": 9449,
-  "palestine</w>": 11682,
-  "palestinian</w>": 11764,
-  "palestinians</w>": 21874,
-  "palette</w>": 13901,
-  "pali": 48063,
-  "palin</w>": 40153,
-  "palis": 44256,
-  "pality</w>": 27296,
-  "pall": 35817,
-  "palla": 21208,
-  "palladium</w>": 37888,
-  "pallet</w>": 39057,
-  "palli": 28954,
-  "palliative</w>": 46014,
-  "pally</w>": 46073,
-  "palm": 19651,
-  "palm</w>": 8612,
-  "palma</w>": 29888,
-  "palmer": 40112,
-  "palmer</w>": 13633,
-  "palms</w>": 27059,
-  "palo</w>": 31562,
-  "palom": 47698,
-  "palooza</w>": 25861,
-  "pals</w>": 11043,
-  "palsy</w>": 46651,
-  "pam": 8228,
-  "pam</w>": 18513,
-  "pamela</w>": 26991,
-  "pamp": 37653,
-  "pamper</w>": 44345,
-  "pamph": 41332,
-  "pan": 1072,
-  "pan</w>": 7437,
-  "panam": 24606,
-  "panama</w>": 15522,
-  "panas": 26207,
-  "panasonic</w>": 29750,
-  "pancake</w>": 18723,
-  "pancakes</w>": 15308,
-  "panch": 27251,
-  "pancra": 42472,
-  "pancre": 27708,
-  "pancreatic</w>": 49337,
-  "pancy</w>": 41625,
-  "pand": 5631,
-  "panda</w>": 12952,
-  "pandas</w>": 35119,
-  "pande": 38419,
-  "pandey</w>": 34895,
-  "pandit</w>": 41191,
-  "pandor": 30250,
-  "pandora</w>": 17727,
-  "pandoramusic</w>": 42344,
-  "pane</w>": 27470,
-  "panel</w>": 3724,
-  "paneli": 19410,
-  "panelist</w>": 39719,
-  "panelists</w>": 24619,
-  "panels</w>": 12735,
-  "panera</w>": 48471,
-  "pang": 16756,
-  "pang</w>": 23672,
-  "panhandle</w>": 40919,
-  "pani</w>": 36092,
-  "panic": 46671,
-  "panic</w>": 14124,
-  "panini</w>": 30410,
-  "pann": 42302,
-  "panna</w>": 49065,
-  "pano</w>": 36165,
-  "panor": 12962,
-  "panorama</w>": 19763,
-  "panoramic</w>": 22563,
-  "pans</w>": 35204,
-  "pant</w>": 22550,
-  "panther": 22825,
-  "panther</w>": 13262,
-  "panthers</w>": 10494,
-  "panties</w>": 32515,
-  "panto</w>": 28776,
-  "pantry</w>": 25608,
-  "pants</w>": 5003,
-  "panty": 44217,
-  "pany</w>": 45567,
-  "panzer</w>": 41159,
-  "pao</w>": 33790,
-  "paola</w>": 44689,
-  "paolo": 48488,
-  "paolo</w>": 21133,
-  "pap": 1884,
-  "pap</w>": 30756,
-  "papa</w>": 12211,
-  "papar": 32782,
-  "paparazzi</w>": 37842,
-  "papaya</w>": 44098,
-  "paper": 8680,
-  "paper</w>": 2802,
-  "paperback</w>": 17928,
-  "papers</w>": 8204,
-  "paperwork</w>": 35785,
-  "papi</w>": 35177,
-  "papp": 26361,
-  "paprika</w>": 44793,
-  "papua</w>": 32629,
-  "par": 699,
-  "par</w>": 9163,
-  "para": 18355,
-  "para</w>": 8976,
-  "parach": 23147,
-  "parachute</w>": 30122,
-  "parad": 37143,
-  "parade</w>": 5809,
-  "parades</w>": 46479,
-  "paradi": 6658,
-  "paradig": 27786,
-  "paradigm</w>": 33485,
-  "paradise": 45869,
-  "paradise</w>": 7247,
-  "paradox</w>": 33109,
-  "parag": 11866,
-  "paragon</w>": 48099,
-  "paragra": 24903,
-  "paragraph</w>": 28499,
-  "paragu": 38021,
-  "paraguay</w>": 43579,
-  "paral": 15143,
-  "paralle": 13184,
-  "parallel</w>": 18201,
-  "paralleled</w>": 42520,
-  "parallels</w>": 46101,
-  "paraly": 30255,
-  "paralym": 18727,
-  "paralympic</w>": 30806,
-  "paralympics</w>": 37162,
-  "paralysis</w>": 45702,
-  "param": 12250,
-  "parame": 27106,
-  "paramedic</w>": 34630,
-  "paramedics</w>": 35991,
-  "parameters</w>": 44890,
-  "paramore</w>": 34401,
-  "paramount</w>": 26642,
-  "parano": 30283,
-  "paranoid</w>": 43029,
-  "paranor": 16940,
-  "paranormal</w>": 19047,
-  "parap": 41091,
-  "paras": 15198,
-  "parasite</w>": 42460,
-  "parasites</w>": 46175,
-  "parc</w>": 30914,
-  "parcel</w>": 30367,
-  "parcels</w>": 45589,
-  "pard</w>": 18773,
-  "pardon": 47606,
-  "pardon</w>": 26565,
-  "pare": 18202,
-  "pared</w>": 5498,
-  "paren": 3106,
-  "parent": 47848,
-  "parent</w>": 10183,
-  "parental</w>": 28339,
-  "parenthood</w>": 23887,
-  "parenting</w>": 14529,
-  "parents</w>": 3731,
-  "pares</w>": 12420,
-  "parfait</w>": 46140,
-  "pari": 17961,
-  "pari</w>": 27979,
-  "paris": 13982,
-  "paris</w>": 3445,
-  "parisagreement</w>": 47405,
-  "parish": 47328,
-  "parish</w>": 13020,
-  "parisi": 45081,
-  "parisian</w>": 38512,
-  "parity</w>": 42734,
-  "park": 4985,
-  "park</w>": 1452,
-  "parked</w>": 16487,
-  "parker": 31119,
-  "parker</w>": 8365,
-  "parkin": 34868,
-  "parking</w>": 5984,
-  "parkinson</w>": 28129,
-  "parkland</w>": 31287,
-  "parkrun</w>": 25747,
-  "parks</w>": 6873,
-  "parkway</w>": 19882,
-  "parl": 30373,
-  "parl</w>": 29897,
-  "parliam": 5941,
-  "parliament": 41599,
-  "parliament</w>": 7151,
-  "parliamentary</w>": 17912,
-  "parlor</w>": 38253,
-  "parlour</w>": 37829,
-  "parma</w>": 36077,
-  "parme": 26295,
-  "parmesan</w>": 27274,
-  "paro": 17429,
-  "parody</w>": 24318,
-  "parole</w>": 32158,
-  "parr</w>": 44113,
-  "parrish</w>": 43043,
-  "parrot</w>": 23565,
-  "parry</w>": 40604,
-  "parsley</w>": 30077,
-  "parsons</w>": 22505,
-  "part": 1872,
-  "part</w>": 1551,
-  "parte</w>": 48508,
-  "parth</w>": 34790,
-  "parti": 10509,
-  "partial</w>": 18957,
-  "partially</w>": 21269,
-  "partic": 2871,
-  "partici": 9540,
-  "particip": 4400,
-  "participant</w>": 27674,
-  "participants</w>": 10237,
-  "participate</w>": 9433,
-  "participated</w>": 14252,
-  "participates</w>": 46414,
-  "participating</w>": 11535,
-  "participation</w>": 13529,
-  "particle</w>": 27716,
-  "particles</w>": 27012,
-  "particul": 11408,
-  "particular</w>": 14098,
-  "particularly</w>": 12170,
-  "parties</w>": 9032,
-  "parting</w>": 32844,
-  "partisan</w>": 20772,
-  "partist</w>": 44713,
-  "partition</w>": 42219,
-  "partly</w>": 21459,
-  "partner": 5210,
-  "partner</w>": 4568,
-  "partnered</w>": 21402,
-  "partnering</w>": 21182,
-  "partners</w>": 5568,
-  "partnership</w>": 6123,
-  "partnerships</w>": 17418,
-  "parton</w>": 43245,
-  "partridge</w>": 34872,
-  "parts</w>": 5149,
-  "party": 12877,
-  "party</w>": 1580,
-  "partying</w>": 25702,
-  "pas": 1341,
-  "pas</w>": 9525,
-  "pasadena</w>": 25892,
-  "pascal</w>": 28626,
-  "pasco</w>": 49220,
-  "pascu": 42692,
-  "pash": 23936,
-  "pasha</w>": 46986,
-  "paso</w>": 18542,
-  "pasqu": 44941,
-  "pass": 5016,
-  "pass</w>": 3511,
-  "passage</w>": 16477,
-  "passages</w>": 48937,
-  "passed</w>": 4957,
-  "passenger</w>": 12311,
-  "passengers</w>": 12781,
-  "passer</w>": 48544,
-  "passes</w>": 7633,
-  "passi": 32471,
-  "passing</w>": 6589,
-  "passion": 8822,
-  "passion</w>": 5332,
-  "passionate</w>": 10947,
-  "passionately</w>": 44028,
-  "passions</w>": 38441,
-  "passive</w>": 23171,
-  "passover</w>": 38426,
-  "passport</w>": 14739,
-  "passports</w>": 46368,
-  "password</w>": 20258,
-  "passwords</w>": 43095,
-  "past": 7315,
-  "past</w>": 2729,
-  "pasta</w>": 10441,
-  "paste": 34765,
-  "paste</w>": 17038,
-  "pastel</w>": 19457,
-  "pastels</w>": 45699,
-  "pastor": 19792,
-  "pastor</w>": 9664,
-  "pastoral</w>": 37191,
-  "pastors</w>": 30959,
-  "pastr": 45478,
-  "pastries</w>": 39409,
-  "pastry</w>": 18582,
-  "pasture</w>": 34764,
-  "pastures</w>": 47793,
-  "pat": 1300,
-  "pat</w>": 7036,
-  "patag": 29862,
-  "patagonia</w>": 32786,
-  "patch": 29284,
-  "patch</w>": 8721,
-  "patches</w>": 22104,
-  "patchwork</w>": 44675,
-  "patchy</w>": 47488,
-  "pate": 42122,
-  "pate</w>": 42098,
-  "patel</w>": 14168,
-  "patent</w>": 14692,
-  "patented</w>": 37277,
-  "patents</w>": 33911,
-  "paterson</w>": 36560,
-  "path": 7408,
-  "path</w>": 5035,
-  "pathetic</w>": 18222,
-  "pathfinder</w>": 35415,
-  "pathi": 34976,
-  "pathi</w>": 27347,
-  "pathic</w>": 49025,
-  "patho": 18534,
-  "pathology</w>": 23290,
-  "paths</w>": 16333,
-  "pathway</w>": 23488,
-  "pathways</w>": 24690,
-  "pathy</w>": 13330,
-  "pati": 2799,
-  "pati</w>": 26708,
-  "patience</w>": 13575,
-  "patient": 30139,
-  "patient</w>": 6262,
-  "patiently</w>": 22980,
-  "patients</w>": 5543,
-  "patil</w>": 49187,
-  "patio</w>": 14304,
-  "pational</w>": 30627,
-  "patna</w>": 45025,
-  "patory</w>": 41859,
-  "patreon</w>": 17165,
-  "patri": 4771,
-  "patriarch</w>": 49054,
-  "patriarchy</w>": 48806,
-  "patric": 12569,
-  "patrice</w>": 40731,
-  "patricia</w>": 18143,
-  "patrick": 12078,
-  "patrick</w>": 5286,
-  "patricks</w>": 46783,
-  "patriot": 28896,
-  "patriot</w>": 15692,
-  "patrioti": 35520,
-  "patriotic</w>": 20217,
-  "patriotism</w>": 35807,
-  "patriots</w>": 8707,
-  "patro": 31650,
-  "patrol</w>": 10073,
-  "patrolling</w>": 39344,
-  "patrols</w>": 35978,
-  "patron": 26658,
-  "patron</w>": 17683,
-  "patrons</w>": 28308,
-  "pats</w>": 24874,
-  "patsy</w>": 46093,
-  "patt": 12637,
-  "patter": 4982,
-  "pattern</w>": 7447,
-  "patterned</w>": 47212,
-  "patterns</w>": 11637,
-  "patterson</w>": 21384,
-  "patti": 44927,
-  "patti</w>": 26123,
-  "pattinson</w>": 32474,
-  "patton</w>": 29026,
-  "patty": 48741,
-  "patty</w>": 18321,
-  "pau": 1834,
-  "pau</w>": 35970,
-  "paul": 6035,
-  "paul</w>": 2597,
-  "paula": 37363,
-  "paula</w>": 16777,
-  "pauline</w>": 30438,
-  "paulo": 48002,
-  "paulo</w>": 21628,
-  "pauls": 41413,
-  "pauls</w>": 40010,
-  "paulson</w>": 48201,
-  "pause</w>": 19439,
-  "paused</w>": 46782,
-  "pav": 6661,
-  "pave</w>": 37107,
-  "paved</w>": 27898,
-  "pavel</w>": 43152,
-  "pavement</w>": 27669,
-  "pavilion</w>": 13374,
-  "paving</w>": 28651,
-  "paw": 14009,
-  "paw</w>": 16016,
-  "pawan": 29754,
-  "pawankalyan</w>": 33702,
-  "pawn</w>": 43195,
-  "paws</w>": 16714,
-  "pax": 20007,
-  "pax</w>": 19033,
-  "paxton</w>": 38347,
-  "pay": 2642,
-  "pay</w>": 3345,
-  "payback</w>": 36413,
-  "paycheck</w>": 45078,
-  "payday</w>": 26957,
-  "payee</w>": 46985,
-  "payer</w>": 41503,
-  "paying</w>": 8341,
-  "payment</w>": 10596,
-  "payments</w>": 11832,
-  "payne</w>": 12775,
-  "paypal</w>": 21442,
-  "payroll</w>": 31610,
-  "pays</w>": 10845,
-  "paysoff</w>": 48174,
-  "paytm</w>": 45352,
-  "payton</w>": 27348,
-  "paz</w>": 22267,
-  "pb": 20112,
-  "pb</w>": 10981,
-  "pba</w>": 28205,
-  "pbb": 48567,
-  "pbb</w>": 40589,
-  "pbc</w>": 49191,
-  "pbl</w>": 35166,
-  "pbr</w>": 32998,
-  "pbs</w>": 17908,
-  "pc": 6782,
-  "pc</w>": 3808,
-  "pca</w>": 35705,
-  "pcb</w>": 26235,
-  "pcc</w>": 36059,
-  "pci</w>": 38957,
-  "pcm</w>": 47436,
-  "pcr</w>": 35704,
-  "pcs</w>": 11917,
-  "pcso</w>": 31963,
-  "pct</w>": 22168,
-  "pd": 4387,
-  "pd</w>": 4675,
-  "pdates</w>": 16842,
-  "pdc</w>": 40498,
-  "pdf</w>": 15181,
-  "pdp</w>": 24601,
-  "pdt</w>": 21743,
-  "pdx": 25470,
-  "pdx</w>": 16153,
-  "pe": 661,
-  "pe</w>": 956,
-  "pea</w>": 13915,
-  "peabo": 34083,
-  "peabody</w>": 41244,
-  "peac": 34615,
-  "peace": 6249,
-  "peace</w>": 3021,
-  "peaceful</w>": 9461,
-  "peacefully</w>": 30530,
-  "peacekeeping</w>": 43630,
-  "peach": 10522,
-  "peach</w>": 11538,
-  "peaches</w>": 27216,
-  "peak": 18572,
-  "peak</w>": 6026,
-  "peakdistrict</w>": 41289,
-  "peake</w>": 24810,
-  "peaked</w>": 36391,
-  "peaks</w>": 14067,
-  "pean": 11563,
-  "peanu": 25843,
-  "peanut</w>": 12491,
-  "peanuts</w>": 26503,
-  "pear": 4910,
-  "pear</w>": 18820,
-  "pearce</w>": 25996,
-  "pearl": 21806,
-  "pearl</w>": 8560,
-  "pearljam</w>": 46739,
-  "pearls</w>": 19581,
-  "pears</w>": 39565,
-  "pearson</w>": 20461,
-  "peas</w>": 15937,
-  "peasant</w>": 40621,
-  "peasants</w>": 48788,
-  "peat</w>": 26914,
-  "pebble</w>": 28056,
-  "pebbles</w>": 40155,
-  "pec": 32447,
-  "pec</w>": 17611,
-  "pecan</w>": 32177,
-  "peck": 25186,
-  "peck</w>": 29234,
-  "pecker</w>": 30169,
-  "peckham</w>": 45863,
-  "pecu": 34200,
-  "peculiar</w>": 42808,
-  "ped": 13197,
-  "ped</w>": 2966,
-  "pedago": 34590,
-  "pedagogy</w>": 48072,
-  "pedal": 32943,
-  "pedal</w>": 19621,
-  "pedals</w>": 38535,
-  "pede": 12862,
-  "pede</w>": 19560,
-  "pedestri": 30027,
-  "pedestrian</w>": 18256,
-  "pedestrians</w>": 33895,
-  "pedi": 12967,
-  "pedia</w>": 11733,
-  "pediatric": 48431,
-  "pediatric</w>": 22071,
-  "pedic": 35319,
-  "pedic</w>": 44528,
-  "pedro": 29963,
-  "pedro</w>": 15114,
-  "peds</w>": 45377,
-  "pee": 12988,
-  "pee</w>": 11196,
-  "peed</w>": 47369,
-  "peek": 46323,
-  "peek</w>": 7569,
-  "peeking</w>": 48771,
-  "peel": 34386,
-  "peel</w>": 17158,
-  "peeled</w>": 33533,
-  "peeling</w>": 48649,
-  "peep": 25425,
-  "peep</w>": 16857,
-  "peeps</w>": 11681,
-  "peer": 32416,
-  "peer</w>": 14432,
-  "peers</w>": 21626,
-  "pees</w>": 31830,
-  "peg": 32182,
-  "peg</w>": 11207,
-  "pegas": 30018,
-  "pegasus</w>": 37822,
-  "peggy</w>": 24271,
-  "pei": 48166,
-  "pei</w>": 12917,
-  "pel": 4286,
-  "pel</w>": 7006,
-  "pele</w>": 44105,
-  "pelican</w>": 34131,
-  "pelicans</w>": 29363,
-  "pell</w>": 46981,
-  "pelle": 31267,
-  "pelled</w>": 32506,
-  "pellegr": 38529,
-  "pellets</w>": 48240,
-  "pelo": 40192,
-  "pelo</w>": 40238,
-  "pelosi</w>": 22169,
-  "pelvic</w>": 45646,
-  "pemb": 19880,
-  "pembro": 24084,
-  "pembroke": 36702,
-  "pembroke</w>": 40044,
-  "pembrokeshire</w>": 40695,
-  "pen": 1501,
-  "pen</w>": 5356,
-  "pena</w>": 35788,
-  "penalties</w>": 25417,
-  "penalty</w>": 11491,
-  "penang</w>": 29545,
-  "penc": 20065,
-  "pence</w>": 18002,
-  "pencil": 41303,
-  "pencil</w>": 11200,
-  "pencils</w>": 21909,
-  "pend": 3052,
-  "pendant</w>": 12415,
-  "pendants</w>": 44117,
-  "pending</w>": 12770,
-  "pendleton</w>": 44272,
-  "pendu": 45336,
-  "penelope</w>": 36703,
-  "penetr": 26058,
-  "peng": 42955,
-  "peng</w>": 39200,
-  "pengu": 8854,
-  "penguin": 28249,
-  "penguin</w>": 14952,
-  "penguins</w>": 16557,
-  "peninsu": 13464,
-  "peninsula</w>": 14070,
-  "penn": 7760,
-  "penn</w>": 11128,
-  "pennant</w>": 43971,
-  "penned</w>": 45077,
-  "penney</w>": 47856,
-  "pennies</w>": 43094,
-  "pennsylvania</w>": 13673,
-  "penny": 20400,
-  "penny</w>": 11388,
-  "pens": 13307,
-  "pens</w>": 13310,
-  "pensac": 30925,
-  "pensacola</w>": 33573,
-  "pension": 32840,
-  "pension</w>": 17764,
-  "pensions</w>": 29773,
-  "penske</w>": 47154,
-  "pent": 10699,
-  "pent</w>": 22725,
-  "pentagon</w>": 23133,
-  "pente": 33165,
-  "penthouse</w>": 32673,
-  "penultimate</w>": 36553,
-  "peop": 1030,
-  "people": 10573,
-  "people</w>": 1047,
-  "peoples": 28241,
-  "peoples</w>": 14627,
-  "peopleschoice</w>": 32418,
-  "peoplesvote</w>": 45830,
-  "peoria</w>": 36985,
-  "pep": 12761,
-  "pep</w>": 14898,
-  "pepe</w>": 24778,
-  "pepp": 34425,
-  "pepper": 14861,
-  "pepper</w>": 8253,
-  "peppermint</w>": 30321,
-  "pepperoni</w>": 47307,
-  "peppers</w>": 14650,
-  "pepsi</w>": 21307,
-  "per": 703,
-  "per</w>": 1284,
-  "pera</w>": 26294,
-  "perce": 24135,
-  "perceived</w>": 38436,
-  "percent": 16328,
-  "percent</w>": 9017,
-  "percentage</w>": 19477,
-  "percep": 28017,
-  "perception</w>": 20591,
-  "perceptions</w>": 38138,
-  "perch</w>": 34281,
-  "perched</w>": 40071,
-  "percu": 41722,
-  "percussion</w>": 23980,
-  "percy</w>": 23940,
-  "pere": 8665,
-  "pere</w>": 36300,
-  "pered</w>": 24509,
-  "peregr": 37479,
-  "peregrine</w>": 44546,
-  "pereira</w>": 43927,
-  "peren": 24564,
-  "perenni": 26996,
-  "perennial</w>": 34038,
-  "perez</w>": 15107,
-  "perf</w>": 22816,
-  "perfe": 1624,
-  "perfec": 6599,
-  "perfect": 17261,
-  "perfect</w>": 1878,
-  "perfection</w>": 9646,
-  "perfectly</w>": 8037,
-  "perfecto</w>": 42898,
-  "perfor": 2311,
-  "perform": 3866,
-  "perform</w>": 5940,
-  "performan": 8973,
-  "performance</w>": 2714,
-  "performances</w>": 9553,
-  "performed</w>": 9997,
-  "performer</w>": 17061,
-  "performers</w>": 18476,
-  "performing</w>": 5170,
-  "performs</w>": 13839,
-  "perfu": 14214,
-  "perfume</w>": 17525,
-  "perhaps</w>": 9297,
-  "peri": 12618,
-  "peri</w>": 44068,
-  "perience</w>": 19302,
-  "peril": 40119,
-  "peril</w>": 48301,
-  "perimeter</w>": 38499,
-  "pering</w>": 29746,
-  "perio": 5101,
-  "period</w>": 6131,
-  "periodic</w>": 36476,
-  "periods</w>": 24401,
-  "periph": 35308,
-  "peripheral</w>": 43901,
-  "peris": 19461,
-  "periscope</w>": 21668,
-  "perk</w>": 33424,
-  "perkins</w>": 20057,
-  "perks</w>": 17660,
-  "perl": 44018,
-  "perm</w>": 47847,
-  "perman": 9018,
-  "permanent</w>": 11144,
-  "permanently</w>": 25584,
-  "perme": 42456,
-  "permission</w>": 15822,
-  "permit</w>": 21950,
-  "permits</w>": 33267,
-  "permitted</w>": 44380,
-  "pero</w>": 23551,
-  "perpe": 15749,
-  "perpetr": 33376,
-  "perpetu": 30132,
-  "perpetual</w>": 32018,
-  "perrie</w>": 32691,
-  "perry": 28478,
-  "perry</w>": 7899,
-  "pers": 3688,
-  "pers</w>": 10710,
-  "perse": 27498,
-  "persecu": 22878,
-  "persecution</w>": 32009,
-  "perseverance</w>": 29820,
-  "persi": 11509,
-  "persian</w>": 19859,
-  "persist": 19412,
-  "persist</w>": 40938,
-  "persistence</w>": 34588,
-  "persistent</w>": 29028,
-  "person": 3510,
-  "person</w>": 2533,
-  "persona</w>": 18401,
-  "personal": 10114,
-  "personal</w>": 4121,
-  "personalised</w>": 24186,
-  "personalities</w>": 27888,
-  "personality</w>": 10386,
-  "personalized</w>": 17845,
-  "personally</w>": 13885,
-  "personnel</w>": 14546,
-  "persons</w>": 14592,
-  "perspec": 17997,
-  "perspective</w>": 8996,
-  "perspectives</w>": 18777,
-  "persu": 20972,
-  "pert": 36970,
-  "pert</w>": 16306,
-  "perth": 19067,
-  "perth</w>": 11011,
-  "peru": 20612,
-  "peru</w>": 12964,
-  "peruvian</w>": 30822,
-  "pes": 38368,
-  "pes</w>": 2598,
-  "pesa</w>": 47409,
-  "pesc": 44044,
-  "pesh": 33184,
-  "peshaw": 28524,
-  "peshawar</w>": 29230,
-  "pesky</w>": 42512,
-  "pesos</w>": 47872,
-  "pessi": 43902,
-  "pest": 20130,
-  "pest</w>": 9425,
-  "pesticide</w>": 48481,
-  "pesticides</w>": 37868,
-  "pesto</w>": 26186,
-  "pests</w>": 41919,
-  "pet": 2167,
-  "pet</w>": 3703,
-  "peta</w>": 28785,
-  "petal": 38430,
-  "petal</w>": 40469,
-  "petals</w>": 26064,
-  "petday</w>": 45314,
-  "pete": 14479,
-  "pete</w>": 8571,
-  "peter": 5093,
-  "peter</w>": 3696,
-  "peterborough</w>": 26012,
-  "peters</w>": 16336,
-  "petersburg</w>": 21052,
-  "petersen</w>": 39794,
-  "peterson</w>": 16877,
-  "peth</w>": 48920,
-  "petit": 36437,
-  "petit</w>": 21276,
-  "petite</w>": 27213,
-  "petition</w>": 10975,
-  "petitions</w>": 43536,
-  "petr": 29808,
-  "petra</w>": 31300,
-  "petre": 47179,
-  "petri": 31831,
-  "petro": 8716,
-  "petrol</w>": 18149,
-  "petroleum</w>": 22063,
-  "petron": 42875,
-  "pets</w>": 7663,
-  "pett": 27051,
-  "petti": 48001,
-  "petting</w>": 44334,
-  "petty</w>": 17324,
-  "peu": 21411,
-  "peuge": 22893,
-  "peugeot</w>": 24129,
-  "pew": 21608,
-  "pew</w>": 30783,
-  "pewdie": 41882,
-  "pewdiepie</w>": 42563,
-  "pex</w>": 43765,
-  "pey": 14966,
-  "pey</w>": 30933,
-  "peyton": 49254,
-  "peyton</w>": 20307,
-  "pez": 45798,
-  "pez</w>": 10482,
-  "pf": 16680,
-  "pf</w>": 12572,
-  "pfa</w>": 47839,
-  "pfc</w>": 35007,
-  "pff</w>": 44121,
-  "pfi": 29810,
-  "pfw</w>": 31229,
-  "pg": 12476,
-  "pg</w>": 5211,
-  "pga</w>": 13351,
-  "pgat": 36514,
-  "pgatour</w>": 40094,
-  "pgh": 44862,
-  "pgh</w>": 30031,
-  "pgs</w>": 49204,
-  "ph": 745,
-  "ph</w>": 2042,
-  "pha": 4443,
-  "pha</w>": 26255,
-  "phal": 19962,
-  "phan": 8731,
-  "phan</w>": 40126,
-  "phant": 36998,
-  "phantom": 37688,
-  "phantom</w>": 14490,
-  "phar": 5570,
-  "phara": 35792,
-  "pharaoh</w>": 40437,
-  "pharm</w>": 45761,
-  "pharma</w>": 17831,
-  "pharmac": 8193,
-  "pharmaceu": 19490,
-  "pharmaceutical</w>": 25217,
-  "pharmaceuticals</w>": 44623,
-  "pharmacist</w>": 41024,
-  "pharmacists</w>": 44337,
-  "pharmacy</w>": 15293,
-  "pharo": 42308,
-  "pharoah</w>": 49287,
-  "pharrell</w>": 31316,
-  "phase</w>": 8304,
-  "phases</w>": 35337,
-  "phat</w>": 42492,
-  "phc</w>": 41102,
-  "phd": 20875,
-  "phd</w>": 8472,
-  "phdchat</w>": 39564,
-  "phdlife</w>": 39638,
-  "phe": 4787,
-  "phe</w>": 19853,
-  "pheasant</w>": 41983,
-  "phee</w>": 41292,
-  "phel": 23711,
-  "phelps</w>": 27128,
-  "phen": 7718,
-  "pheno": 47336,
-  "phenom": 31673,
-  "phenom</w>": 39618,
-  "phenomen": 11304,
-  "phenomena</w>": 41538,
-  "phenomenal</w>": 15035,
-  "phenomenon</w>": 24464,
-  "pher": 9194,
-  "pher</w>": 19828,
-  "phers</w>": 29531,
-  "pherson</w>": 36421,
-  "phew</w>": 10295,
-  "phi": 2239,
-  "phi</w>": 12220,
-  "phia</w>": 9228,
-  "phic</w>": 3977,
-  "phie</w>": 30237,
-  "phies</w>": 17062,
-  "phil": 2821,
-  "phil</w>": 6199,
-  "phila</w>": 47443,
-  "philadel": 9428,
-  "philadelphia</w>": 9749,
-  "philanthro": 16587,
-  "philanthropist</w>": 44153,
-  "philanthropy</w>": 25047,
-  "philately</w>": 33695,
-  "phile</w>": 36543,
-  "philharmon": 25228,
-  "philharmonic</w>": 31699,
-  "phili": 4277,
-  "philia</w>": 46654,
-  "philip": 20748,
-  "philip</w>": 11074,
-  "philipp": 5623,
-  "philipp</w>": 47591,
-  "philippe</w>": 20942,
-  "philippine</w>": 17629,
-  "philippines</w>": 8149,
-  "philips</w>": 25175,
-  "phill": 42346,
-  "phill</w>": 48272,
-  "philli": 6456,
-  "phillies</w>": 18748,
-  "phillip": 48832,
-  "phillip</w>": 19323,
-  "phillips</w>": 11041,
-  "philly": 19545,
-  "philly</w>": 7785,
-  "philos": 8395,
-  "philosop": 20349,
-  "philosoph": 10187,
-  "philosopher</w>": 25220,
-  "philosophical</w>": 32628,
-  "philosophy</w>": 12213,
-  "phils</w>": 38573,
-  "phin</w>": 33816,
-  "phine</w>": 40985,
-  "phins</w>": 40210,
-  "phish</w>": 36897,
-  "phishing</w>": 36546,
-  "phl</w>": 25603,
-  "pho": 816,
-  "pho</w>": 22707,
-  "phobia</w>": 28749,
-  "phoe": 22673,
-  "phoebe</w>": 27582,
-  "phoeni": 6778,
-  "phoenix": 20615,
-  "phoenix</w>": 7793,
-  "phol</w>": 48140,
-  "phon": 19602,
-  "phon</w>": 31115,
-  "phone": 15486,
-  "phone</w>": 1951,
-  "phones</w>": 6351,
-  "phony</w>": 31925,
-  "phora</w>": 31363,
-  "phosp": 22638,
-  "photo": 1153,
-  "photo</w>": 1125,
-  "photobomb</w>": 37075,
-  "photobook</w>": 41894,
-  "photog</w>": 28115,
-  "photogenic</w>": 36108,
-  "photogra": 36754,
-  "photograph": 1688,
-  "photograph</w>": 8853,
-  "photographed</w>": 11573,
-  "photographer</w>": 5748,
-  "photographers</w>": 17141,
-  "photographic</w>": 22053,
-  "photographing</w>": 30074,
-  "photographs</w>": 15759,
-  "photography": 33183,
-  "photography</w>": 2108,
-  "photom": 32223,
-  "photoo": 11106,
-  "photooftheday</w>": 11933,
-  "photos</w>": 2479,
-  "photoshoot</w>": 11121,
-  "photoshop</w>": 12419,
-  "photoshopped</w>": 35738,
-  "phouse</w>": 27848,
-  "php</w>": 17370,
-  "phra": 12777,
-  "phrase</w>": 18809,
-  "phrases</w>": 35264,
-  "phs</w>": 16495,
-  "phu": 21274,
-  "phuket</w>": 34028,
-  "phx": 35466,
-  "phx</w>": 29507,
-  "phy": 6484,
-  "phy</w>": 4292,
-  "phyl": 35600,
-  "phyllis</w>": 37844,
-  "phys": 3734,
-  "phys</w>": 37894,
-  "physi": 13782,
-  "physic": 46641,
-  "physical": 44127,
-  "physical</w>": 6671,
-  "physically</w>": 18105,
-  "physician</w>": 21055,
-  "physicians</w>": 26702,
-  "physicist</w>": 29052,
-  "physics</w>": 9369,
-  "physio": 29574,
-  "physio</w>": 29177,
-  "physiology</w>": 32349,
-  "physique</w>": 42884,
-  "phyto": 42197,
-  "pi": 741,
-  "pi</w>": 5357,
-  "pia</w>": 8918,
-  "pian</w>": 24637,
-  "pianist</w>": 21048,
-  "piano": 49278,
-  "piano</w>": 7894,
-  "pianos</w>": 47904,
-  "piazza</w>": 28496,
-  "pic": 901,
-  "pic</w>": 1282,
-  "pical</w>": 5482,
-  "picard</w>": 48507,
-  "picasso</w>": 21481,
-  "piccad": 33876,
-  "piccadilly</w>": 37287,
-  "piccollage</w>": 43621,
-  "pick": 6379,
-  "pick</w>": 3142,
-  "picked</w>": 6018,
-  "picker</w>": 43105,
-  "pickering</w>": 47605,
-  "picket</w>": 33559,
-  "picking</w>": 9545,
-  "pickle</w>": 24570,
-  "pickled</w>": 21705,
-  "pickles</w>": 25001,
-  "picks</w>": 8551,
-  "pickup</w>": 15382,
-  "pickups</w>": 33383,
-  "picnic</w>": 12007,
-  "pico</w>": 23363,
-  "picoftheday</w>": 18319,
-  "pics</w>": 2559,
-  "pict</w>": 18778,
-  "pictorial</w>": 40640,
-  "picture": 11663,
-  "picture</w>": 1674,
-  "pictured</w>": 7647,
-  "pictures</w>": 3646,
-  "picturesque</w>": 24894,
-  "pid</w>": 5225,
-  "piday</w>": 48056,
-  "pie": 12065,
-  "pie</w>": 5319,
-  "piece": 39632,
-  "piece</w>": 2754,
-  "pieces</w>": 6194,
-  "pied": 24686,
-  "pied</w>": 12713,
-  "piedmont</w>": 39691,
-  "pier": 5641,
-  "pier</w>": 11348,
-  "pierc": 49216,
-  "pierce": 48462,
-  "pierce</w>": 16782,
-  "pierced</w>": 32799,
-  "piercing</w>": 22557,
-  "piero</w>": 43125,
-  "pierre": 34670,
-  "pierre</w>": 11985,
-  "piers</w>": 29030,
-  "pies</w>": 6898,
-  "pieter</w>": 44801,
-  "pietro</w>": 42169,
-  "piff</w>": 40719,
-  "pig": 12009,
-  "pig</w>": 9619,
-  "pigeon</w>": 18008,
-  "pigeons</w>": 32910,
-  "piggy</w>": 28245,
-  "pigment</w>": 40284,
-  "pigs</w>": 16228,
-  "pik</w>": 48539,
-  "pika</w>": 47372,
-  "pikach": 27268,
-  "pikachu</w>": 28107,
-  "pike": 33457,
-  "pike</w>": 14011,
-  "pil": 2893,
-  "pil</w>": 20645,
-  "pilates</w>": 29518,
-  "pile": 44403,
-  "pile</w>": 13930,
-  "piled</w>": 26873,
-  "piles</w>": 31968,
-  "pilgri": 13966,
-  "pilgrim</w>": 32662,
-  "pilgrimage</w>": 24335,
-  "pilgrims</w>": 31370,
-  "piling</w>": 43050,
-  "pilip": 27234,
-  "pilipinas</w>": 32392,
-  "pill": 14830,
-  "pill</w>": 19226,
-  "pillar</w>": 17322,
-  "pillars</w>": 22054,
-  "pillow": 42237,
-  "pillow</w>": 12182,
-  "pillows</w>": 26499,
-  "pills</w>": 23964,
-  "pilo": 37526,
-  "pilot": 31619,
-  "pilot</w>": 6687,
-  "pilots</w>": 15586,
-  "pilsner</w>": 47153,
-  "pim": 15285,
-  "pim</w>": 35472,
-  "pimp": 35789,
-  "pin": 2629,
-  "pin</w>": 5164,
-  "pinball</w>": 31679,
-  "pinch</w>": 26114,
-  "pine": 9398,
-  "pine</w>": 7374,
-  "pineapple</w>": 14831,
-  "pines</w>": 20338,
-  "ping": 23720,
-  "ping</w>": 2089,
-  "pinion</w>": 40557,
-  "pink": 11151,
-  "pink</w>": 3360,
-  "pinkfloyd</w>": 48520,
-  "pinky</w>": 29803,
-  "pinn": 31448,
-  "pinnacle</w>": 32754,
-  "pinned</w>": 12165,
-  "pinning</w>": 44515,
-  "pino</w>": 36633,
-  "pinot": 41399,
-  "pinot</w>": 21146,
-  "pinoy": 43578,
-  "pinoy</w>": 35258,
-  "pins</w>": 14619,
-  "pinst": 41173,
-  "pint": 42537,
-  "pint</w>": 13584,
-  "pinterest</w>": 15379,
-  "pinto</w>": 35992,
-  "pints</w>": 27935,
-  "pinup</w>": 37349,
-  "pio</w>": 22108,
-  "pion": 36728,
-  "pion</w>": 29190,
-  "pione": 7975,
-  "pioneer": 34892,
-  "pioneer</w>": 12459,
-  "pioneering</w>": 25933,
-  "pioneers</w>": 22383,
-  "pious</w>": 42441,
-  "pip</w>": 30854,
-  "pipe": 29333,
-  "pipe</w>": 10459,
-  "pipel": 12387,
-  "pipeline</w>": 14151,
-  "pipelines</w>": 39683,
-  "piper": 47052,
-  "piper</w>": 16293,
-  "pipes</w>": 16991,
-  "piping</w>": 40744,
-  "pippa</w>": 47672,
-  "pir": 4351,
-  "pir</w>": 38899,
-  "piracy</w>": 39452,
-  "piran": 49034,
-  "pirate": 38680,
-  "pirate</w>": 13592,
-  "pirates</w>": 10442,
-  "pire": 16613,
-  "pires</w>": 14988,
-  "pis": 9230,
-  "pis</w>": 44441,
-  "pisa</w>": 43632,
-  "pisces</w>": 45982,
-  "piss</w>": 20818,
-  "pissed</w>": 17989,
-  "pist": 15556,
-  "pist</w>": 32826,
-  "pistachi": 29760,
-  "pistachio</w>": 36320,
-  "pistol</w>": 20480,
-  "piston</w>": 48236,
-  "pistons</w>": 27242,
-  "pistor": 48162,
-  "pit": 2946,
-  "pit</w>": 7476,
-  "pita</w>": 27070,
-  "pitbull</w>": 25295,
-  "pitch": 8992,
-  "pitch</w>": 5872,
-  "pitched</w>": 28447,
-  "pitcher</w>": 13445,
-  "pitchers</w>": 27835,
-  "pitches</w>": 21005,
-  "pitching</w>": 16455,
-  "piti": 47568,
-  "pits</w>": 24144,
-  "pitt": 7607,
-  "pitt</w>": 15599,
-  "pitts": 9531,
-  "pittsburgh</w>": 10453,
-  "pity</w>": 24380,
-  "pius</w>": 39988,
-  "pivo": 18009,
-  "pivot</w>": 31805,
-  "pivotal</w>": 31432,
-  "pix": 6185,
-  "pix</w>": 13088,
-  "pixar</w>": 27493,
-  "pixel": 14384,
-  "pixel</w>": 13241,
-  "pixelart</w>": 18516,
-  "pixels</w>": 34099,
-  "pixie</w>": 35573,
-  "piyu": 30772,
-  "piyush": 36191,
-  "piyushgoyal</w>": 45318,
-  "pizz": 3897,
-  "pizza</w>": 4474,
-  "pizzas</w>": 30647,
-  "pizzeria</w>": 44174,
-  "pj": 12524,
-  "pj</w>": 17179,
-  "pjnet</w>": 22011,
-  "pjs</w>": 36009,
-  "pk": 10149,
-  "pk</w>": 10991,
-  "pkg</w>": 49011,
-  "pkk</w>": 47480,
-  "pknot</w>": 41779,
-  "pkwy</w>": 36827,
-  "pl": 712,
-  "pl</w>": 5678,
-  "pla": 841,
-  "pla</w>": 19945,
-  "plac": 2331,
-  "place": 14884,
-  "place</w>": 1445,
-  "placed</w>": 9729,
-  "placement</w>": 16724,
-  "placements</w>": 43885,
-  "placer</w>": 49170,
-  "places</w>": 4448,
-  "placing</w>": 18531,
-  "plague</w>": 25360,
-  "plaid</w>": 23291,
-  "plain": 22776,
-  "plain</w>": 10709,
-  "plains</w>": 16345,
-  "plan": 1740,
-  "plan</w>": 2970,
-  "pland</w>": 24801,
-  "plane": 22728,
-  "plane</w>": 5363,
-  "planes</w>": 12581,
-  "planet": 16833,
-  "planet</w>": 5172,
-  "planetary</w>": 28361,
-  "planets</w>": 22315,
-  "plank</w>": 30991,
-  "plankton</w>": 48249,
-  "plann": 6409,
-  "planned</w>": 8169,
-  "planner</w>": 18083,
-  "planners</w>": 33664,
-  "planning</w>": 4446,
-  "plano</w>": 34063,
-  "plans</w>": 4181,
-  "plant": 8521,
-  "plant</w>": 3912,
-  "plantation</w>": 20014,
-  "plantbased</w>": 33720,
-  "planted</w>": 14286,
-  "planter</w>": 34453,
-  "planters</w>": 43661,
-  "planting</w>": 13922,
-  "plants</w>": 5829,
-  "plaque</w>": 16097,
-  "plaques</w>": 45610,
-  "plar</w>": 26754,
-  "plas": 45673,
-  "plasma</w>": 24999,
-  "plaster</w>": 31980,
-  "plastic": 15645,
-  "plastic</w>": 6102,
-  "plasticpollution</w>": 47129,
-  "plastics</w>": 20999,
-  "plasticsurgery</w>": 48555,
-  "plat": 3172,
-  "plata</w>": 46456,
-  "plate": 28744,
-  "plate</w>": 5135,
-  "plateau</w>": 29301,
-  "plated</w>": 21161,
-  "plates</w>": 11485,
-  "platform</w>": 5549,
-  "platforms</w>": 13551,
-  "platin": 10267,
-  "plating</w>": 44564,
-  "platinum</w>": 10979,
-  "plato</w>": 41101,
-  "platoon</w>": 41254,
-  "platt": 44459,
-  "platt</w>": 40097,
-  "platte</w>": 46785,
-  "platter</w>": 29071,
-  "platz</w>": 40878,
-  "plau": 39139,
-  "play": 1222,
-  "play</w>": 1453,
-  "playa</w>": 23756,
-  "playable</w>": 33885,
-  "playback</w>": 39194,
-  "playbook</w>": 34856,
-  "playboy</w>": 24383,
-  "played</w>": 3432,
-  "player": 24503,
-  "player</w>": 2477,
-  "players</w>": 3030,
-  "playful</w>": 23871,
-  "playground</w>": 15861,
-  "playhouse</w>": 23254,
-  "playin</w>": 24674,
-  "playing": 47368,
-  "playing</w>": 1629,
-  "playlist</w>": 9180,
-  "playlists</w>": 47183,
-  "playo": 5804,
-  "playoff</w>": 9655,
-  "playoffs</w>": 9548,
-  "plays</w>": 5134,
-  "playstation</w>": 11332,
-  "playtime</w>": 43037,
-  "playwright</w>": 32070,
-  "plaza</w>": 8943,
-  "plc</w>": 16827,
-  "ple": 926,
-  "ple</w>": 1619,
-  "plea</w>": 21956,
-  "plead</w>": 47539,
-  "pleads</w>": 31425,
-  "plear": 21362,
-  "pleas": 8481,
-  "pleas</w>": 48740,
-  "pleasant</w>": 12271,
-  "please": 41074,
-  "please</w>": 1474,
-  "pleased</w>": 6107,
-  "pleasing</w>": 32893,
-  "pleasure</w>": 5854,
-  "pleasures</w>": 29513,
-  "pledge</w>": 11507,
-  "pledged</w>": 36799,
-  "pledges</w>": 26746,
-  "pledis</w>": 41202,
-  "plein</w>": 43429,
-  "plenary</w>": 19891,
-  "plenty</w>": 7524,
-  "pler</w>": 17677,
-  "ples</w>": 6248,
-  "pless": 39821,
-  "pless</w>": 17059,
-  "plets</w>": 43230,
-  "plex": 23765,
-  "plex</w>": 15241,
-  "pley</w>": 19543,
-  "pli": 30001,
-  "pli</w>": 45797,
-  "plic": 5806,
-  "plicity</w>": 19823,
-  "plight</w>": 40317,
-  "plin": 44531,
-  "plin</w>": 32335,
-  "pline</w>": 25376,
-  "pling</w>": 12899,
-  "plings</w>": 31184,
-  "pll": 47629,
-  "pll</w>": 25266,
-  "pln</w>": 48755,
-  "plo": 1778,
-  "plo</w>": 43523,
-  "plor": 34695,
-  "plot</w>": 9918,
-  "plots</w>": 25672,
-  "plotting</w>": 30751,
-  "plough": 33811,
-  "plow</w>": 38363,
-  "pls</w>": 5572,
-  "plu": 2052,
-  "plug</w>": 12628,
-  "plugged</w>": 23261,
-  "plugin</w>": 31278,
-  "plugins</w>": 48797,
-  "plugs</w>": 28083,
-  "plum": 26267,
-  "plum</w>": 16202,
-  "plumb": 21769,
-  "plumber</w>": 43478,
-  "plumbing</w>": 24647,
-  "plume</w>": 39495,
-  "plun": 15122,
-  "plunge</w>": 26506,
-  "plur": 44664,
-  "plus</w>": 3097,
-  "plush</w>": 18926,
-  "pluto</w>": 26380,
-  "ply": 17249,
-  "ply</w>": 28705,
-  "plying</w>": 36071,
-  "plym": 11907,
-  "plymouth</w>": 13786,
-  "plz</w>": 10538,
-  "pm": 13699,
-  "pm</w>": 990,
-  "pmi</w>": 41206,
-  "pmln</w>": 23208,
-  "pmo": 18782,
-  "pmoindia</w>": 20374,
-  "pms</w>": 44223,
-  "pn": 14431,
-  "pn</w>": 13774,
-  "pnc</w>": 37148,
-  "pne": 30966,
-  "pneu": 28714,
-  "pneumonia</w>": 42906,
-  "png</w>": 20992,
-  "pnp</w>": 25972,
-  "pnpp": 42175,
-  "pnw</w>": 31521,
-  "po": 628,
-  "po</w>": 3057,
-  "poa</w>": 43912,
-  "poached</w>": 27665,
-  "poaching</w>": 35140,
-  "poc": 13232,
-  "poc</w>": 27780,
-  "pocaly": 37987,
-  "pocalypse</w>": 42307,
-  "poche": 38336,
-  "poche</w>": 39022,
-  "pocket": 29147,
-  "pocket</w>": 8504,
-  "pockets</w>": 19566,
-  "pocon": 41850,
-  "pod": 3583,
-  "pod</w>": 7446,
-  "podcast": 39654,
-  "podcast</w>": 4294,
-  "podcasting</w>": 40106,
-  "podcasts</w>": 19392,
-  "pode": 33368,
-  "poder": 24960,
-  "podernfamily</w>": 26620,
-  "podi": 32853,
-  "podium</w>": 14093,
-  "pods</w>": 18776,
-  "poe": 4746,
-  "poe</w>": 19254,
-  "poem</w>": 9436,
-  "poems</w>": 15577,
-  "poet": 41019,
-  "poet</w>": 9872,
-  "poetic</w>": 26365,
-  "poetry": 20192,
-  "poetry</w>": 6038,
-  "poetryday</w>": 39255,
-  "poets</w>": 19804,
-  "pof": 40850,
-  "poff</w>": 28236,
-  "pogba</w>": 25998,
-  "poign": 29682,
-  "poignant</w>": 32138,
-  "poin": 9074,
-  "point": 13280,
-  "point</w>": 2301,
-  "pointe</w>": 24631,
-  "pointed</w>": 20703,
-  "pointer</w>": 29883,
-  "pointers</w>": 36760,
-  "pointing</w>": 19233,
-  "pointless</w>": 33586,
-  "points</w>": 3396,
-  "pois": 17008,
-  "poise</w>": 45087,
-  "poised</w>": 27354,
-  "poison": 30722,
-  "poison</w>": 17074,
-  "poisoned</w>": 43624,
-  "poisoning</w>": 25750,
-  "poisonous</w>": 37131,
-  "pok": 15387,
-  "poke": 6892,
-  "poke</w>": 23186,
-  "pokemon": 16239,
-  "pokemon</w>": 9528,
-  "pokemongo</w>": 23985,
-  "poker": 30735,
-  "poker</w>": 11865,
-  "pokes</w>": 40221,
-  "poking</w>": 49169,
-  "poké": 20656,
-  "pokémon</w>": 22066,
-  "pol": 977,
-  "pol</w>": 7649,
-  "pola</w>": 43876,
-  "poland</w>": 9834,
-  "polar": 21432,
-  "polar</w>": 12214,
-  "polari": 27919,
-  "polaris</w>": 37965,
-  "polarized</w>": 48437,
-  "polaro": 25237,
-  "polaroid</w>": 30427,
-  "poldark</w>": 41322,
-  "pole": 26682,
-  "pole</w>": 8170,
-  "poles</w>": 22585,
-  "poli": 9675,
-  "poli</w>": 5414,
-  "polic": 16126,
-  "police": 15535,
-  "police</w>": 2120,
-  "policeman</w>": 37713,
-  "policemen</w>": 47946,
-  "polici": 10819,
-  "policies</w>": 10993,
-  "policing</w>": 20969,
-  "policy": 30173,
-  "policy</w>": 4660,
-  "polio</w>": 30533,
-  "polis</w>": 16133,
-  "polish": 46941,
-  "polish</w>": 9632,
-  "polished</w>": 21478,
-  "polishing</w>": 43629,
-  "polit": 2247,
-  "politan</w>": 15337,
-  "polite</w>": 31497,
-  "politi": 40597,
-  "politic": 33333,
-  "political": 37744,
-  "political</w>": 4197,
-  "politically</w>": 24323,
-  "politician</w>": 15960,
-  "politicians</w>": 12914,
-  "politico</w>": 39403,
-  "politics</w>": 4929,
-  "polk</w>": 33317,
-  "polka</w>": 29476,
-  "poll</w>": 7032,
-  "pollen</w>": 27651,
-  "pollin": 19152,
-  "pollinators</w>": 36599,
-  "polling</w>": 18024,
-  "pollo</w>": 42755,
-  "pollock</w>": 37614,
-  "polls</w>": 11813,
-  "pollu": 8370,
-  "polluted</w>": 43346,
-  "pollution</w>": 10384,
-  "polly</w>": 31204,
-  "polo": 35928,
-  "polo</w>": 10229,
-  "poly": 6833,
-  "poly</w>": 18367,
-  "polye": 31730,
-  "polyester</w>": 38514,
-  "polym": 23626,
-  "polymer</w>": 29993,
-  "polyne": 38892,
-  "polyvore</w>": 24771,
-  "pom": 7548,
-  "pom</w>": 24280,
-  "pome": 27963,
-  "pomegran": 29326,
-  "pomegranate</w>": 32415,
-  "pomer": 35156,
-  "pomona</w>": 41690,
-  "pompe": 18352,
-  "pompeii</w>": 47775,
-  "pompeo</w>": 34351,
-  "pompey</w>": 35079,
-  "pon": 3809,
-  "pon</w>": 22391,
-  "ponce</w>": 43637,
-  "pond</w>": 10750,
-  "ponder</w>": 36863,
-  "pondering</w>": 47395,
-  "ponds</w>": 31033,
-  "pone</w>": 32183,
-  "pong": 40546,
-  "pong</w>": 17710,
-  "ponies</w>": 34157,
-  "pons</w>": 41255,
-  "pont": 47563,
-  "pont</w>": 22997,
-  "ponte</w>": 40892,
-  "ponti": 15527,
-  "pontiac</w>": 25373,
-  "pontifex</w>": 33566,
-  "ponty": 45152,
-  "pony": 24438,
-  "pony</w>": 12678,
-  "ponytail</w>": 43265,
-  "poo": 6601,
-  "poo</w>": 14389,
-  "pooch</w>": 37037,
-  "poodle</w>": 34961,
-  "pooh</w>": 27103,
-  "pooja</w>": 35676,
-  "pool": 12484,
-  "pool</w>": 2831,
-  "poole</w>": 26290,
-  "pools</w>": 18736,
-  "poolside</w>": 35509,
-  "poon": 33799,
-  "poon</w>": 36178,
-  "poop</w>": 23310,
-  "poor": 14528,
-  "poor</w>": 3665,
-  "poorest</w>": 40771,
-  "poorly</w>": 21101,
-  "pop": 6530,
-  "pop</w>": 2852,
-  "popart</w>": 47425,
-  "popcorn</w>": 15034,
-  "pope": 16994,
-  "pope</w>": 9283,
-  "popefrancis</w>": 37254,
-  "poplar</w>": 38726,
-  "popo": 38835,
-  "popo</w>": 35572,
-  "popp": 13156,
-  "popped</w>": 14934,
-  "poppies</w>": 30385,
-  "poppin</w>": 28536,
-  "popping</w>": 18152,
-  "poppins</w>": 41216,
-  "poppy": 32194,
-  "poppy</w>": 15447,
-  "pops</w>": 11705,
-  "popsic": 38481,
-  "popu": 3785,
-  "popul": 6593,
-  "popular": 15854,
-  "popular</w>": 4368,
-  "popularity</w>": 19235,
-  "populated</w>": 38420,
-  "population</w>": 8423,
-  "populations</w>": 23797,
-  "populism</w>": 48998,
-  "populist</w>": 49376,
-  "popup</w>": 33053,
-  "por": 817,
-  "por</w>": 7697,
-  "pora</w>": 23537,
-  "porcel": 19409,
-  "porcelain</w>": 20451,
-  "porch</w>": 17154,
-  "pore</w>": 28267,
-  "pork": 40379,
-  "pork</w>": 7897,
-  "poro": 48110,
-  "porridge</w>": 34924,
-  "porsch": 48009,
-  "porsche": 44049,
-  "porsche</w>": 8783,
-  "port": 1641,
-  "port</w>": 1418,
-  "porta</w>": 45037,
-  "portable</w>": 11949,
-  "portage</w>": 32087,
-  "portal</w>": 14982,
-  "porte</w>": 28654,
-  "ported</w>": 16879,
-  "porter": 28319,
-  "porter</w>": 10318,
-  "porters</w>": 15670,
-  "portfoli": 45766,
-  "portfolio</w>": 11938,
-  "porth": 37425,
-  "porti": 45760,
-  "porting</w>": 26052,
-  "portion</w>": 13739,
-  "portions</w>": 22914,
-  "portland": 38366,
-  "portland</w>": 8880,
-  "portman</w>": 34755,
-  "porto": 24853,
-  "porto</w>": 18947,
-  "portobello</w>": 48025,
-  "portra": 4175,
-  "portrait": 39312,
-  "portrait</w>": 5352,
-  "portraits</w>": 14203,
-  "portray</w>": 46282,
-  "portrayal</w>": 39238,
-  "portrayed</w>": 36093,
-  "ports</w>": 7734,
-  "portsm": 17063,
-  "portsmouth</w>": 19074,
-  "portu": 7159,
-  "portugal</w>": 9503,
-  "portugue": 17498,
-  "portuguese</w>": 18019,
-  "pos": 1780,
-  "pos</w>": 11839,
-  "pose": 25478,
-  "pose</w>": 4230,
-  "posed</w>": 5206,
-  "posei": 47270,
-  "poser</w>": 46899,
-  "poses</w>": 9773,
-  "posey</w>": 34852,
-  "posh</w>": 26748,
-  "posing</w>": 10518,
-  "posit": 28793,
-  "positi": 7895,
-  "position</w>": 4657,
-  "positioned</w>": 34482,
-  "positioning</w>": 30657,
-  "positions</w>": 12188,
-  "positive": 21811,
-  "positive</w>": 4844,
-  "positively</w>": 24688,
-  "positivity</w>": 19966,
-  "poss</w>": 39745,
-  "posse": 17414,
-  "posse</w>": 28413,
-  "possess</w>": 36810,
-  "possessed</w>": 36220,
-  "possession</w>": 16154,
-  "possessions</w>": 40588,
-  "possi": 2521,
-  "possibilities</w>": 17932,
-  "possibility</w>": 18517,
-  "possible</w>": 3134,
-  "possibly</w>": 8601,
-  "possum</w>": 38575,
-  "post": 3489,
-  "post</w>": 1549,
-  "postage</w>": 27570,
-  "postal</w>": 21687,
-  "postcard</w>": 14785,
-  "postcards</w>": 23922,
-  "postdoc</w>": 41013,
-  "posted</w>": 4752,
-  "poster": 22881,
-  "poster</w>": 3574,
-  "posters</w>": 9673,
-  "postgame</w>": 34873,
-  "postgraduate</w>": 31997,
-  "posthum": 42410,
-  "posting</w>": 7559,
-  "postman</w>": 38285,
-  "postpon": 23247,
-  "postponed</w>": 25097,
-  "posts</w>": 7824,
-  "postseason</w>": 24521,
-  "posture</w>": 29681,
-  "posure</w>": 35539,
-  "pot": 3547,
-  "pot</w>": 5168,
-  "potam": 45825,
-  "potassi": 36889,
-  "potassium</w>": 37147,
-  "potat": 5975,
-  "potato</w>": 8527,
-  "potatoes</w>": 11567,
-  "potd</w>": 28765,
-  "pote</w>": 41869,
-  "poten": 4454,
-  "potent</w>": 26082,
-  "potenti": 44104,
-  "potential</w>": 5100,
-  "potentially</w>": 16508,
-  "potholes</w>": 47506,
-  "potion</w>": 46055,
-  "potom": 38848,
-  "potomac</w>": 43372,
-  "pots</w>": 19234,
-  "pott": 28698,
-  "potted</w>": 48581,
-  "potter": 24975,
-  "potter</w>": 9026,
-  "pottery</w>": 18396,
-  "potts</w>": 39839,
-  "potty</w>": 43569,
-  "potus</w>": 8740,
-  "pou": 9423,
-  "pouch</w>": 26811,
-  "poul": 22485,
-  "poultry</w>": 31005,
-  "poun": 33719,
-  "pound": 33809,
-  "pound</w>": 10674,
-  "pounding</w>": 46544,
-  "pounds</w>": 10752,
-  "pour": 33112,
-  "pour</w>": 8180,
-  "poured</w>": 26621,
-  "pouring</w>": 16098,
-  "pours</w>": 26005,
-  "pout</w>": 39621,
-  "poutine</w>": 43768,
-  "pov</w>": 25731,
-  "pover": 8432,
-  "pover</w>": 29464,
-  "poverty</w>": 9095,
-  "pow": 1317,
-  "pow</w>": 17745,
-  "powder": 32427,
-  "powder</w>": 9674,
-  "powe": 36955,
-  "powell</w>": 13305,
-  "power": 2789,
-  "power</w>": 1807,
-  "powerball</w>": 47803,
-  "powered": 45442,
-  "powered</w>": 7332,
-  "powerful</w>": 4875,
-  "powerhouse</w>": 22858,
-  "powering</w>": 16231,
-  "powerof": 31961,
-  "powerpoint</w>": 38940,
-  "powerrangers</w>": 40620,
-  "powers</w>": 9422,
-  "pox</w>": 43649,
-  "poy</w>": 34737,
-  "poyn": 47655,
-  "poz": 39953,
-  "pp": 604,
-  "pp</w>": 4186,
-  "ppa</w>": 10416,
-  "ppard</w>": 23391,
-  "ppc</w>": 27778,
-  "ppe": 24573,
-  "ppe</w>": 11867,
-  "pped</w>": 1873,
-  "ppel</w>": 46523,
-  "ppen</w>": 30663,
-  "pper": 6719,
-  "pper</w>": 2440,
-  "ppers</w>": 5232,
-  "ppery</w>": 27833,
-  "ppet</w>": 20744,
-  "ppets</w>": 25849,
-  "ppg</w>": 27433,
-  "ppi</w>": 9594,
-  "ppie</w>": 33795,
-  "ppin</w>": 8076,
-  "pping": 22214,
-  "pping</w>": 1682,
-  "ppings</w>": 35687,
-  "ppl</w>": 6758,
-  "pple</w>": 12302,
-  "ppm</w>": 42053,
-  "ppo</w>": 10215,
-  "ppor": 37613,
-  "ppp</w>": 14017,
-  "pps</w>": 10683,
-  "ppv</w>": 38864,
-  "ppy": 30360,
-  "ppy</w>": 3860,
-  "pr": 766,
-  "pr</w>": 4150,
-  "pra": 1865,
-  "pra</w>": 19285,
-  "prab": 17901,
-  "prabhas</w>": 29959,
-  "prabhu</w>": 31529,
-  "prac": 2243,
-  "practi": 29995,
-  "practic": 5495,
-  "practical</w>": 10792,
-  "practically</w>": 25588,
-  "practice</w>": 3349,
-  "practiced</w>": 36749,
-  "practices</w>": 9040,
-  "practicing</w>": 12750,
-  "practise</w>": 38938,
-  "practising</w>": 36478,
-  "practiti": 19909,
-  "practitioner</w>": 32591,
-  "practitioners</w>": 29045,
-  "prada</w>": 29456,
-  "pradesh</w>": 15384,
-  "prado</w>": 44141,
-  "prag": 31025,
-  "prague</w>": 14940,
-  "prairi": 12629,
-  "prairie</w>": 14753,
-  "praise</w>": 10013,
-  "praised</w>": 27649,
-  "praises</w>": 23049,
-  "praising</w>": 36961,
-  "prakash": 43708,
-  "prakash</w>": 25366,
-  "pram": 47774,
-  "pran": 20048,
-  "prank</w>": 23654,
-  "pras</w>": 41562,
-  "prasad</w>": 29562,
-  "prat": 23069,
-  "prati": 45773,
-  "pratt": 37863,
-  "pratt</w>": 23396,
-  "prawn</w>": 33102,
-  "prawns</w>": 34903,
-  "pray": 12671,
-  "pray</w>": 6041,
-  "prayed</w>": 34665,
-  "prayer": 41452,
-  "prayer</w>": 6583,
-  "prayers</w>": 8393,
-  "prayfor": 18443,
-  "praying</w>": 11550,
-  "prays</w>": 46602,
-  "prc</w>": 28781,
-  "pre": 679,
-  "pre</w>": 2900,
-  "preach</w>": 22545,
-  "preacher</w>": 29357,
-  "preaching</w>": 23642,
-  "precau": 36532,
-  "precautions</w>": 47845,
-  "prece": 15361,
-  "preci": 5470,
-  "precin": 27908,
-  "precinct</w>": 32587,
-  "precious</w>": 8226,
-  "precipit": 27463,
-  "precipitation</w>": 33399,
-  "precise</w>": 24457,
-  "precisely</w>": 34954,
-  "precision": 44021,
-  "precision</w>": 15621,
-  "pred": 40370,
-  "predat": 13364,
-  "predator</w>": 20653,
-  "predators</w>": 25569,
-  "prede": 38454,
-  "predecess": 38963,
-  "predic": 4876,
-  "predict</w>": 16900,
-  "predictable</w>": 25344,
-  "predicted</w>": 18702,
-  "predicting</w>": 30414,
-  "prediction</w>": 16296,
-  "predictions</w>": 15125,
-  "predictive</w>": 29798,
-  "predicts</w>": 25960,
-  "preds</w>": 40125,
-  "pree</w>": 47026,
-  "preet</w>": 30131,
-  "prefe": 14542,
-  "prefecture</w>": 32890,
-  "prefer": 33426,
-  "prefer</w>": 11450,
-  "preference</w>": 35057,
-  "preferences</w>": 38118,
-  "preferred</w>": 18772,
-  "prefers</w>": 38528,
-  "pregame</w>": 18575,
-  "pregn": 7190,
-  "pregnancy</w>": 12769,
-  "pregnant</w>": 11195,
-  "prehistoric</w>": 32750,
-  "prejudice</w>": 28337,
-  "preli": 15523,
-  "prelimin": 19990,
-  "preliminary</w>": 20997,
-  "prelims</w>": 43223,
-  "prelude</w>": 42966,
-  "prem": 32090,
-  "prem</w>": 21724,
-  "premature</w>": 39253,
-  "premi": 2413,
-  "premier": 16996,
-  "premier</w>": 5539,
-  "premiere</w>": 5367,
-  "premiered</w>": 27652,
-  "premieres</w>": 19907,
-  "premiering</w>": 32615,
-  "premierleague</w>": 22608,
-  "premiers</w>": 44883,
-  "premiership</w>": 23665,
-  "premiosm": 38460,
-  "premiosmtvmiaw</w>": 38630,
-  "premise</w>": 45952,
-  "premises</w>": 27266,
-  "premium</w>": 8011,
-  "pren": 20801,
-  "preneur</w>": 46288,
-  "preorder</w>": 16703,
-  "preorders</w>": 45985,
-  "prep": 6430,
-  "prep</w>": 7277,
-  "prepa": 26270,
-  "prepaid</w>": 42934,
-  "prepar": 4968,
-  "preparation</w>": 11651,
-  "preparations</w>": 19135,
-  "prepare</w>": 7014,
-  "prepared</w>": 7677,
-  "preparedness</w>": 29492,
-  "prepares</w>": 16375,
-  "preparing</w>": 7365,
-  "prepped</w>": 34379,
-  "prepping</w>": 16459,
-  "preps</w>": 14765,
-  "prequel</w>": 40461,
-  "pres": 1385,
-  "pres</w>": 8529,
-  "presale</w>": 27135,
-  "presby": 30447,
-  "presbyter": 33959,
-  "presbyterian</w>": 35370,
-  "preschool</w>": 24354,
-  "prescott</w>": 29392,
-  "prescri": 14851,
-  "prescribed</w>": 36968,
-  "prescription</w>": 23061,
-  "preseason</w>": 13813,
-  "presen": 16742,
-  "presence</w>": 8848,
-  "present": 2344,
-  "present</w>": 2881,
-  "presentation</w>": 4594,
-  "presentations</w>": 16998,
-  "presented</w>": 4587,
-  "presenter</w>": 18587,
-  "presenters</w>": 32759,
-  "presenting</w>": 5339,
-  "presents</w>": 4215,
-  "preserv": 17616,
-  "preservation</w>": 21074,
-  "preserve</w>": 15570,
-  "preserved</w>": 23161,
-  "preserves</w>": 44881,
-  "preserving</w>": 32315,
-  "presi": 1697,
-  "presiden": 43374,
-  "presidency</w>": 18077,
-  "president": 19900,
-  "president</w>": 1940,
-  "presidente</w>": 47363,
-  "presidenti": 48297,
-  "presidential</w>": 8503,
-  "presidents</w>": 16726,
-  "presiding</w>": 45298,
-  "presley</w>": 30013,
-  "press": 4124,
-  "press</w>": 2124,
-  "pressed</w>": 20080,
-  "presser</w>": 27826,
-  "presses</w>": 33748,
-  "pressing</w>": 20893,
-  "pressure</w>": 6083,
-  "pressures</w>": 38487,
-  "prest": 41840,
-  "presti": 12245,
-  "prestige</w>": 29328,
-  "prestigious</w>": 15888,
-  "presto</w>": 42211,
-  "preston": 37335,
-  "preston</w>": 15179,
-  "presu": 21667,
-  "presumably</w>": 42562,
-  "pret": 9652,
-  "preten": 15871,
-  "pretend</w>": 18111,
-  "pretending</w>": 21306,
-  "pretoria</w>": 36080,
-  "prett": 46667,
-  "prettier</w>": 31745,
-  "prettiest</w>": 22866,
-  "pretty": 18286,
-  "pretty</w>": 2111,
-  "pretz": 24890,
-  "pretzel</w>": 36707,
-  "pretzels</w>": 45468,
-  "prev": 20274,
-  "prevail</w>": 31637,
-  "prevalence</w>": 41729,
-  "prevalent</w>": 46260,
-  "preven": 29382,
-  "prevent": 26436,
-  "prevent</w>": 7968,
-  "preventable</w>": 44250,
-  "prevented</w>": 35356,
-  "preventing</w>": 21756,
-  "prevention</w>": 9500,
-  "preventive</w>": 40949,
-  "prevents</w>": 31746,
-  "preview</w>": 4449,
-  "previews</w>": 20279,
-  "previous</w>": 9252,
-  "previously</w>": 13359,
-  "prey</w>": 17131,
-  "prez</w>": 17956,
-  "pri": 955,
-  "pri</w>": 23400,
-  "pric": 24275,
-  "price": 13254,
-  "price</w>": 2827,
-  "priced</w>": 16934,
-  "priceless</w>": 15743,
-  "prices</w>": 5954,
-  "pricing</w>": 14800,
-  "prick": 43921,
-  "prick</w>": 46516,
-  "pride": 15323,
-  "pride</w>": 3436,
-  "pridemonth</w>": 41410,
-  "prie": 22477,
-  "priest": 38756,
-  "priest</w>": 14222,
-  "priests</w>": 30005,
-  "prim": 22004,
-  "prima": 35611,
-  "prima</w>": 33277,
-  "primal</w>": 36604,
-  "primar": 21579,
-  "primaries</w>": 46126,
-  "primarily</w>": 29465,
-  "primark</w>": 48329,
-  "primary": 35024,
-  "primary</w>": 5814,
-  "primavera</w>": 44899,
-  "prime": 14162,
-  "prime</w>": 5183,
-  "primed</w>": 45694,
-  "primer</w>": 22388,
-  "primetime</w>": 29763,
-  "primitive</w>": 37467,
-  "primo</w>": 43215,
-  "primrose</w>": 45891,
-  "prin": 1588,
-  "prince": 9457,
-  "prince</w>": 4735,
-  "princes": 45329,
-  "princes</w>": 30136,
-  "princess": 24123,
-  "princess</w>": 5079,
-  "princesses</w>": 34161,
-  "princeton</w>": 22433,
-  "princi": 5129,
-  "principal": 33599,
-  "principal</w>": 8860,
-  "principals</w>": 27524,
-  "principle</w>": 19595,
-  "principles</w>": 13755,
-  "print": 17851,
-  "print</w>": 3557,
-  "printable</w>": 29648,
-  "printed</w>": 7978,
-  "printer</w>": 14521,
-  "printers</w>": 27881,
-  "printing</w>": 7369,
-  "printmaking</w>": 38669,
-  "prints</w>": 7704,
-  "prior": 20328,
-  "prior</w>": 10572,
-  "priorit": 47773,
-  "prioriti": 28822,
-  "priorities</w>": 15232,
-  "prioritize</w>": 46715,
-  "priority</w>": 12451,
-  "priory</w>": 38665,
-  "prisc": 32468,
-  "priscilla</w>": 42396,
-  "prise</w>": 23343,
-  "prism": 49311,
-  "prism</w>": 34356,
-  "prison": 9281,
-  "prison</w>": 6622,
-  "prisoner</w>": 21427,
-  "prisoners</w>": 17460,
-  "prisons</w>": 26607,
-  "pristine</w>": 30618,
-  "prit": 41668,
-  "prit</w>": 37523,
-  "prith": 39173,
-  "prius</w>": 43561,
-  "priv": 3270,
-  "privacy</w>": 10437,
-  "private": 20362,
-  "private</w>": 4439,
-  "privately</w>": 32970,
-  "privati": 27379,
-  "privi": 8367,
-  "privileg": 18015,
-  "privilege</w>": 11537,
-  "privileged</w>": 18166,
-  "prix</w>": 10875,
-  "priya</w>": 31275,
-  "priyan": 16488,
-  "priyanka</w>": 31959,
-  "priyankach": 30030,
-  "priyankachopra</w>": 30264,
-  "prize": 48222,
-  "prize</w>": 4521,
-  "prized</w>": 38769,
-  "prizes</w>": 9268,
-  "prk</w>": 37094,
-  "pro": 644,
-  "pro</w>": 2630,
-  "proactive</w>": 33364,
-  "prob": 17706,
-  "prob</w>": 24007,
-  "probab": 3907,
-  "probability</w>": 32637,
-  "probable</w>": 42444,
-  "probably</w>": 4047,
-  "probation</w>": 36531,
-  "probe</w>": 14359,
-  "probes</w>": 48564,
-  "probiotics</w>": 49395,
-  "proble": 2719,
-  "problem</w>": 4324,
-  "problematic</w>": 33767,
-  "problems</w>": 4671,
-  "probs</w>": 16330,
-  "probz</w>": 34243,
-  "proc": 38417,
-  "proce": 4076,
-  "procedu": 18204,
-  "procedural</w>": 48177,
-  "procedure</w>": 20163,
-  "procedures</w>": 21109,
-  "proceed": 26664,
-  "proceed</w>": 33894,
-  "proceedings</w>": 26953,
-  "proceeds</w>": 11882,
-  "process": 17291,
-  "process</w>": 4078,
-  "processed</w>": 23816,
-  "processes</w>": 15169,
-  "processing</w>": 11737,
-  "procession</w>": 26288,
-  "processor</w>": 22838,
-  "processors</w>": 43634,
-  "proclaimed</w>": 34489,
-  "proclamation</w>": 32065,
-  "procra": 25361,
-  "procrastin": 25586,
-  "procrastination</w>": 42825,
-  "procreate</w>": 39336,
-  "proctor</w>": 47204,
-  "procu": 21001,
-  "procurement</w>": 23733,
-  "prod": 44349,
-  "prod</w>": 11991,
-  "prodi": 27759,
-  "prodigy</w>": 31973,
-  "produ": 27852,
-  "produc": 1471,
-  "produce</w>": 7529,
-  "produced</w>": 7479,
-  "producer</w>": 7064,
-  "producers</w>": 13883,
-  "produces</w>": 19940,
-  "producing</w>": 13579,
-  "product": 32602,
-  "product</w>": 4306,
-  "production</w>": 4146,
-  "productions</w>": 14166,
-  "productive</w>": 9697,
-  "productivity</w>": 12800,
-  "products</w>": 3964,
-  "prof": 15043,
-  "prof</w>": 5488,
-  "profe": 2611,
-  "profess": 5486,
-  "professi": 3705,
-  "profession": 8104,
-  "profession</w>": 19671,
-  "professional": 46007,
-  "professional</w>": 4774,
-  "professionalism</w>": 41252,
-  "professionally</w>": 33892,
-  "professionals</w>": 10165,
-  "professor": 47302,
-  "professor</w>": 6092,
-  "professors</w>": 27758,
-  "profici": 34685,
-  "profile": 14291,
-  "profile</w>": 6444,
-  "profiles</w>": 22070,
-  "profiling</w>": 37123,
-  "profit": 16941,
-  "profit</w>": 7909,
-  "profitable</w>": 25465,
-  "profits</w>": 13410,
-  "profound": 48245,
-  "profound</w>": 22998,
-  "profs</w>": 19260,
-  "prog</w>": 22219,
-  "progno": 46070,
-  "program": 4162,
-  "program</w>": 2737,
-  "programme</w>": 6322,
-  "programmer</w>": 37001,
-  "programmes</w>": 20468,
-  "programming</w>": 10831,
-  "programs</w>": 7345,
-  "progre": 7069,
-  "progress</w>": 4421,
-  "progressi": 23297,
-  "progressing</w>": 32346,
-  "progression</w>": 24772,
-  "progressive</w>": 12208,
-  "progressives</w>": 41709,
-  "prohi": 41124,
-  "prohib": 45040,
-  "prohibition</w>": 34440,
-  "proj</w>": 39156,
-  "proje": 48345,
-  "projec": 1610,
-  "project": 15911,
-  "project</w>": 1965,
-  "projected</w>": 22873,
-  "projection</w>": 22384,
-  "projections</w>": 34638,
-  "projector</w>": 27816,
-  "projects</w>": 5090,
-  "proli": 19710,
-  "prolife</w>": 32126,
-  "prolifer": 39018,
-  "prolific</w>": 27839,
-  "prolly</w>": 45968,
-  "prolon": 35379,
-  "prolonged</w>": 41972,
-  "prom": 40363,
-  "prom</w>": 7944,
-  "prome": 34355,
-  "promen": 33578,
-  "promenade</w>": 35522,
-  "promethe": 44183,
-  "promin": 35217,
-  "prominent</w>": 19172,
-  "promis": 3963,
-  "promise</w>": 6745,
-  "promised</w>": 11516,
-  "promises</w>": 12064,
-  "promising</w>": 14183,
-  "promo": 3037,
-  "promo</w>": 6755,
-  "promos</w>": 35044,
-  "promote": 47384,
-  "promote</w>": 8003,
-  "promoted</w>": 16395,
-  "promoter</w>": 33081,
-  "promotes</w>": 20169,
-  "promoting</w>": 9695,
-  "promotion</w>": 9259,
-  "promotional</w>": 17619,
-  "promotions</w>": 19142,
-  "promp": 11671,
-  "prompt</w>": 20198,
-  "prompted</w>": 45746,
-  "prompts</w>": 33490,
-  "proms</w>": 37759,
-  "pron": 13285,
-  "prone</w>": 30964,
-  "pronoun": 23022,
-  "pronounce</w>": 40489,
-  "pronounced</w>": 34109,
-  "pronto</w>": 44296,
-  "proof": 17020,
-  "proof</w>": 5248,
-  "proofing</w>": 35679,
-  "proofs</w>": 41023,
-  "prop": 19123,
-  "prop</w>": 16254,
-  "propag": 12151,
-  "propaganda</w>": 14718,
-  "propane</w>": 45546,
-  "propel</w>": 48439,
-  "propeller</w>": 47404,
-  "proper": 3577,
-  "proper</w>": 8205,
-  "properly</w>": 12560,
-  "properties</w>": 10922,
-  "property": 26486,
-  "property</w>": 5043,
-  "prophe": 9662,
-  "prophecy</w>": 32501,
-  "prophet</w>": 15549,
-  "prophetic</w>": 47476,
-  "prophets</w>": 39441,
-  "propor": 35016,
-  "proportion</w>": 35775,
-  "proportions</w>": 39391,
-  "propos": 9455,
-  "proposal</w>": 12139,
-  "proposals</w>": 20568,
-  "propose</w>": 28471,
-  "proposed</w>": 10615,
-  "proposes</w>": 27133,
-  "proposing</w>": 42631,
-  "proposition</w>": 44780,
-  "propri": 28243,
-  "props</w>": 15249,
-  "propulsion</w>": 49380,
-  "pros": 33925,
-  "pros</w>": 14147,
-  "prosciutto</w>": 46565,
-  "prose": 47063,
-  "prose</w>": 28675,
-  "prosecco</w>": 28839,
-  "prosecu": 12136,
-  "prosecution</w>": 30902,
-  "prosecutor</w>": 23736,
-  "prosecutors</w>": 31656,
-  "prosp": 24242,
-  "prospec": 12693,
-  "prospect</w>": 11211,
-  "prospective</w>": 28034,
-  "prospects</w>": 15372,
-  "prosper": 16121,
-  "prosper</w>": 33526,
-  "prosperity</w>": 17203,
-  "prosperous</w>": 28252,
-  "prost</w>": 47923,
-  "prostate</w>": 28808,
-  "prostatec": 49064,
-  "prosthetic</w>": 44602,
-  "prostitu": 37333,
-  "protag": 28950,
-  "protagonist</w>": 38183,
-  "prote": 1845,
-  "protec": 5640,
-  "protect": 25563,
-  "protect</w>": 4817,
-  "protected</w>": 12266,
-  "protecting</w>": 11710,
-  "protection</w>": 6238,
-  "protections</w>": 33772,
-  "protective</w>": 17028,
-  "protector</w>": 20441,
-  "protectors</w>": 45039,
-  "protects</w>": 21889,
-  "protein</w>": 8088,
-  "proteins</w>": 28661,
-  "protest</w>": 6279,
-  "protestant</w>": 46945,
-  "protested</w>": 48089,
-  "protester</w>": 42073,
-  "protesters</w>": 12660,
-  "protesting</w>": 18788,
-  "protestors</w>": 27822,
-  "protests</w>": 12450,
-  "proto": 8672,
-  "proto</w>": 44958,
-  "protocol</w>": 19938,
-  "protocols</w>": 39631,
-  "proton</w>": 40009,
-  "prototype</w>": 16675,
-  "prototyping</w>": 42081,
-  "prou": 5739,
-  "proud": 11080,
-  "proud</w>": 1679,
-  "prouder</w>": 39585,
-  "proudest</w>": 46806,
-  "proudly</w>": 11203,
-  "proudof": 48184,
-  "proudtobe": 35043,
-  "prov": 23772,
-  "prov</w>": 35021,
-  "prove</w>": 10107,
-  "proved</w>": 16473,
-  "proven": 35405,
-  "proven</w>": 14569,
-  "provence</w>": 28067,
-  "prover": 18312,
-  "proverb</w>": 34419,
-  "proverbs</w>": 27016,
-  "proves</w>": 16119,
-  "provi": 2289,
-  "provide</w>": 4832,
-  "provided</w>": 9046,
-  "providence</w>": 19331,
-  "provider</w>": 14409,
-  "providers</w>": 17120,
-  "provides</w>": 7161,
-  "providing</w>": 7250,
-  "provin": 12074,
-  "province</w>": 8978,
-  "provinces</w>": 35050,
-  "provincial</w>": 16002,
-  "proving</w>": 18055,
-  "provision</w>": 30148,
-  "provisional</w>": 36008,
-  "provisions</w>": 39269,
-  "provo": 15367,
-  "provoc": 31618,
-  "provocative</w>": 43809,
-  "provoking</w>": 25510,
-  "provost</w>": 36627,
-  "prow": 38737,
-  "prowrestling</w>": 39825,
-  "prox": 41616,
-  "proxim": 31436,
-  "proximity</w>": 38298,
-  "proxy</w>": 31680,
-  "prs</w>": 23879,
-  "pru": 12961,
-  "pruitt</w>": 39453,
-  "prun": 29029,
-  "pruning</w>": 48133,
-  "pry": 31965,
-  "pryor</w>": 43375,
-  "ps": 3982,
-  "ps</w>": 814,
-  "psa</w>": 14031,
-  "psal": 13859,
-  "psalm</w>": 17995,
-  "psalms</w>": 35003,
-  "psb</w>": 37017,
-  "psc</w>": 43118,
-  "psd</w>": 28810,
-  "pse": 19737,
-  "pse</w>": 5423,
-  "pseu": 24919,
-  "pseudo</w>": 46618,
-  "psg</w>": 17123,
-  "psi": 45848,
-  "psi</w>": 24533,
-  "psic": 29299,
-  "psis</w>": 33041,
-  "psl</w>": 21373,
-  "psn</w>": 36781,
-  "pso": 27045,
-  "pson</w>": 7487,
-  "psori": 44688,
-  "psp</w>": 32769,
-  "pss": 35718,
-  "pss</w>": 42535,
-  "psst</w>": 47814,
-  "pst</w>": 12692,
-  "psu": 41286,
-  "psu</w>": 28338,
-  "psv</w>": 44530,
-  "psy": 3576,
-  "psy</w>": 11056,
-  "psych": 31041,
-  "psych</w>": 20509,
-  "psyched": 19932,
-  "psyched</w>": 35199,
-  "psychedelic</w>": 23292,
-  "psychi": 18147,
-  "psychiatric</w>": 30578,
-  "psychiatry</w>": 39706,
-  "psychic</w>": 24916,
-  "psycho": 6472,
-  "psycho</w>": 22154,
-  "psychological</w>": 18153,
-  "psychologist</w>": 32827,
-  "psychology</w>": 12352,
-  "psychop": 30112,
-  "psychotic</w>": 48774,
-  "pt": 11139,
-  "pt</w>": 1459,
-  "pta</w>": 11586,
-  "ptbo</w>": 40481,
-  "ptc</w>": 44646,
-  "pte</w>": 47804,
-  "pter": 49323,
-  "pti": 29375,
-  "pti</w>": 10491,
-  "ptic</w>": 20670,
-  "ption</w>": 3479,
-  "ptions</w>": 24963,
-  "pto": 31372,
-  "pto</w>": 34092,
-  "pton</w>": 19780,
-  "pts</w>": 5886,
-  "ptsd</w>": 23973,
-  "ptv</w>": 42402,
-  "pu": 755,
-  "pu</w>": 11780,
-  "pub": 20720,
-  "pub</w>": 6301,
-  "puberty</w>": 44122,
-  "pubg</w>": 31496,
-  "publ": 3434,
-  "publi": 1617,
-  "public": 3592,
-  "public</w>": 2122,
-  "publica</w>": 49007,
-  "publication</w>": 13538,
-  "publications</w>": 27334,
-  "publichealth</w>": 35872,
-  "publicity</w>": 20831,
-  "publicly</w>": 18554,
-  "publish</w>": 19032,
-  "published</w>": 4311,
-  "publisher</w>": 20455,
-  "publishers</w>": 25222,
-  "publishes</w>": 35633,
-  "publishing</w>": 10994,
-  "publix</w>": 47985,
-  "pubs</w>": 21099,
-  "puc": 48779,
-  "puck</w>": 17550,
-  "pud": 39234,
-  "pudding</w>": 14025,
-  "puddle</w>": 33545,
-  "pue": 20161,
-  "pueblo</w>": 33076,
-  "puer": 8968,
-  "puerto</w>": 12289,
-  "puertor": 22757,
-  "puertorico</w>": 26356,
-  "puff": 44477,
-  "puff</w>": 17184,
-  "puffin</w>": 47632,
-  "puffs</w>": 47453,
-  "puffy</w>": 49245,
-  "pug": 20950,
-  "pug</w>": 17739,
-  "pugchat</w>": 42266,
-  "pugh</w>": 41302,
-  "puglia</w>": 38345,
-  "pugs</w>": 39425,
-  "puj": 46163,
-  "puja</w>": 33753,
-  "puk</w>": 31811,
-  "pul": 2469,
-  "pul</w>": 40512,
-  "pula": 45856,
-  "puli</w>": 47293,
-  "pulit": 27745,
-  "pulitzer</w>": 31419,
-  "pull": 20155,
-  "pull</w>": 6857,
-  "pulled</w>": 8525,
-  "pulling</w>": 12897,
-  "pullman</w>": 40203,
-  "pullover</w>": 44020,
-  "pulls</w>": 16041,
-  "pulmon": 32613,
-  "pulmonary</w>": 39132,
-  "pulp</w>": 25410,
-  "pulse": 40091,
-  "pulse</w>": 12485,
-  "pulses</w>": 42177,
-  "pulsion</w>": 35398,
-  "pum": 37497,
-  "puma</w>": 20858,
-  "pump": 5179,
-  "pump</w>": 9173,
-  "pumped</w>": 12796,
-  "pumping</w>": 25150,
-  "pumpkin": 36386,
-  "pumpkin</w>": 8842,
-  "pumpkins</w>": 23787,
-  "pumps</w>": 18540,
-  "pun": 2707,
-  "pun</w>": 19929,
-  "punc": 43907,
-  "punch": 29332,
-  "punch</w>": 10730,
-  "punched</w>": 31689,
-  "punches</w>": 35279,
-  "punching</w>": 33468,
-  "punctu": 31565,
-  "punctuation</w>": 47051,
-  "pundit</w>": 41466,
-  "pune": 32593,
-  "pune</w>": 14488,
-  "pung</w>": 45420,
-  "puni": 11479,
-  "punish</w>": 34569,
-  "punished</w>": 31598,
-  "punisher</w>": 38509,
-  "punishment</w>": 19099,
-  "punjab": 19405,
-  "punjab</w>": 12883,
-  "punjabi</w>": 25430,
-  "punk": 28933,
-  "punk</w>": 7246,
-  "punks</w>": 47171,
-  "puns</w>": 35231,
-  "punt</w>": 32699,
-  "punta</w>": 34112,
-  "punter</w>": 47092,
-  "pup": 11926,
-  "pup</w>": 11302,
-  "pupil</w>": 27265,
-  "pupils</w>": 13628,
-  "pupp": 7116,
-  "puppet</w>": 18439,
-  "puppets</w>": 28475,
-  "puppies</w>": 14820,
-  "puppy": 25431,
-  "puppy</w>": 6829,
-  "puppylove</w>": 40849,
-  "pups</w>": 20778,
-  "pur": 1727,
-  "pur</w>": 6265,
-  "pura</w>": 25596,
-  "puram</w>": 46174,
-  "purcell</w>": 46065,
-  "purch": 8384,
-  "purchase</w>": 5481,
-  "purchased</w>": 13399,
-  "purchases</w>": 21887,
-  "purchasing</w>": 20718,
-  "purdu": 40691,
-  "purdue</w>": 22280,
-  "pure": 14202,
-  "pure</w>": 5979,
-  "puree</w>": 45474,
-  "purely</w>": 32459,
-  "puremichigan</w>": 39783,
-  "purest</w>": 45497,
-  "purge</w>": 33514,
-  "puri": 16910,
-  "puri</w>": 21974,
-  "purification</w>": 47724,
-  "purity</w>": 29780,
-  "purple": 17837,
-  "purple</w>": 5496,
-  "purpose": 33492,
-  "purpose</w>": 7391,
-  "purposes</w>": 22020,
-  "purr": 49262,
-  "purr</w>": 46343,
-  "purse</w>": 16480,
-  "pursue</w>": 19463,
-  "pursuing</w>": 26424,
-  "pursuit</w>": 16469,
-  "purée</w>": 40981,
-  "pus</w>": 13841,
-  "pusa</w>": 40825,
-  "push": 16028,
-  "push</w>": 6831,
-  "pushaw": 35407,
-  "pushaward": 35448,
-  "pushawards": 47184,
-  "pushed</w>": 16155,
-  "pushes</w>": 23828,
-  "pushing</w>": 11549,
-  "put": 29535,
-  "put</w>": 1983,
-  "putin</w>": 10693,
-  "putnam</w>": 40235,
-  "puts</w>": 7898,
-  "putt</w>": 30279,
-  "putter</w>": 44723,
-  "putting</w>": 5154,
-  "puzz": 19760,
-  "puzzle</w>": 12875,
-  "puzzles</w>": 27986,
-  "pv": 14517,
-  "pv</w>": 13495,
-  "pvc</w>": 26959,
-  "pvp</w>": 44172,
-  "pvt</w>": 29898,
-  "pw": 19419,
-  "pw</w>": 16067,
-  "pwc</w>": 22965,
-  "px": 24790,
-  "px</w>": 10262,
-  "pxrtg</w>": 36262,
-  "py": 4005,
-  "py</w>": 7504,
-  "pye": 31099,
-  "pyeongchang</w>": 36066,
-  "pyg": 41450,
-  "pyram": 14405,
-  "pyramid</w>": 18725,
-  "pyramids</w>": 36877,
-  "pyrene": 36740,
-  "pyrenees</w>": 39744,
-  "pyro": 39762,
-  "python</w>": 13370,
-  "pz</w>": 48361,
-  "pé": 43167,
-  "q": 80,
-  "q</w>": 336,
-  "qa": 24944,
-  "qa</w>": 16360,
-  "qad": 27844,
-  "qadri</w>": 35672,
-  "qaeda</w>": 31246,
-  "qanda</w>": 48672,
-  "qanon</w>": 19182,
-  "qant": 35404,
-  "qantas</w>": 43250,
-  "qatar": 32804,
-  "qatar</w>": 10872,
-  "qb</w>": 8073,
-  "qbs</w>": 38188,
-  "qc</w>": 17406,
-  "qe</w>": 30974,
-  "qf</w>": 27215,
-  "qi": 25054,
-  "qi</w>": 11256,
-  "qing": 46522,
-  "qing</w>": 34339,
-  "ql</w>": 28366,
-  "qld": 23039,
-  "qld</w>": 13765,
-  "qldpol</w>": 42296,
-  "qm</w>": 42148,
-  "qotd</w>": 24504,
-  "qpr</w>": 24788,
-  "qq": 31960,
-  "qr</w>": 18193,
-  "qs</w>": 14364,
-  "qt</w>": 15013,
-  "qtr</w>": 44803,
-  "qu": 666,
-  "qu</w>": 28646,
-  "qua</w>": 20363,
-  "quack</w>": 45575,
-  "quad": 11656,
-  "quad</w>": 13419,
-  "quadcopter</w>": 39792,
-  "quadru": 35831,
-  "quaid</w>": 34265,
-  "quail</w>": 34392,
-  "quaint</w>": 45976,
-  "quake</w>": 8421,
-  "quaker</w>": 43395,
-  "quakes</w>": 24572,
-  "qual": 9979,
-  "qual</w>": 32405,
-  "qualcomm</w>": 38683,
-  "quali": 4574,
-  "qualification</w>": 21508,
-  "qualifications</w>": 35225,
-  "qualified</w>": 11927,
-  "qualifier</w>": 18733,
-  "qualifiers</w>": 21388,
-  "qualifies</w>": 35820,
-  "qualify</w>": 17019,
-  "qualifying</w>": 11895,
-  "qualitative</w>": 45847,
-  "qualities</w>": 20488,
-  "quality": 28545,
-  "quality</w>": 3027,
-  "quan": 11669,
-  "quan</w>": 27490,
-  "quand</w>": 28198,
-  "quant": 15050,
-  "quanti": 31540,
-  "quantitative</w>": 40583,
-  "quantities</w>": 33917,
-  "quantity</w>": 26920,
-  "quantum</w>": 15320,
-  "quar": 3856,
-  "quare</w>": 42549,
-  "quarry</w>": 27601,
-  "quart": 7851,
-  "quarter": 8816,
-  "quarter</w>": 6632,
-  "quarterback</w>": 16545,
-  "quarterfinal</w>": 37992,
-  "quarterfinals</w>": 28971,
-  "quarterly</w>": 23350,
-  "quarters</w>": 10146,
-  "quartet</w>": 18056,
-  "quartz</w>": 17752,
-  "quat": 25715,
-  "quattro</w>": 40300,
-  "quay": 40276,
-  "quay</w>": 17304,
-  "que": 1147,
-  "que</w>": 2319,
-  "quebec</w>": 15373,
-  "queen": 6407,
-  "queen</w>": 2997,
-  "queenof": 44398,
-  "queens": 22943,
-  "queens</w>": 9330,
-  "queensland</w>": 15168,
-  "queer": 38874,
-  "queer</w>": 18161,
-  "quel": 39774,
-  "quel</w>": 21879,
-  "quen": 23876,
-  "quen</w>": 38324,
-  "quent": 23808,
-  "quentin</w>": 27530,
-  "quer": 17378,
-  "quer</w>": 26859,
-  "quered</w>": 23210,
-  "queries</w>": 32958,
-  "querque</w>": 30338,
-  "query</w>": 27464,
-  "ques": 25328,
-  "ques</w>": 7715,
-  "queso</w>": 40110,
-  "quest": 31653,
-  "quest</w>": 4846,
-  "questi": 2391,
-  "question": 18961,
-  "question</w>": 4382,
-  "questionable</w>": 30733,
-  "questioned</w>": 31847,
-  "questioning</w>": 24887,
-  "questions</w>": 3883,
-  "quests</w>": 44611,
-  "quet</w>": 8513,
-  "quets</w>": 39055,
-  "quetta</w>": 38326,
-  "quette</w>": 18993,
-  "queu": 32705,
-  "queue</w>": 18549,
-  "queues</w>": 40649,
-  "queuing</w>": 44082,
-  "quez</w>": 18677,
-  "quezon</w>": 41117,
-  "qui": 1912,
-  "qui</w>": 18046,
-  "quic": 26474,
-  "quiche</w>": 47723,
-  "quick": 5969,
-  "quick</w>": 3712,
-  "quicker</w>": 29211,
-  "quickest</w>": 37734,
-  "quickly</w>": 7787,
-  "quid</w>": 30732,
-  "quie": 43875,
-  "quien</w>": 43482,
-  "quiere</w>": 42723,
-  "quiero</w>": 32567,
-  "quiet": 17853,
-  "quiet</w>": 7557,
-  "quietly</w>": 22208,
-  "quig": 44690,
-  "quil": 12305,
-  "quill</w>": 48951,
-  "quilt</w>": 23977,
-  "quilted</w>": 46052,
-  "quin": 8607,
-  "quin</w>": 17167,
-  "quincy</w>": 27640,
-  "quind": 32339,
-  "quinn</w>": 12306,
-  "quinoa</w>": 26703,
-  "quins</w>": 39701,
-  "quint": 26898,
-  "quinta</w>": 47446,
-  "quinte": 22098,
-  "quintess": 37538,
-  "quintet</w>": 35125,
-  "quipment</w>": 42813,
-  "quir": 15943,
-  "quirky</w>": 25044,
-  "quis": 15064,
-  "quist</w>": 25128,
-  "quit": 19358,
-  "quit</w>": 11140,
-  "quite</w>": 4135,
-  "quito</w>": 35828,
-  "quits</w>": 32505,
-  "quitting</w>": 33871,
-  "quity</w>": 33133,
-  "quiz": 31197,
-  "quiz</w>": 8344,
-  "quizz": 35041,
-  "quo": 3046,
-  "quo</w>": 28127,
-  "quoi</w>": 45549,
-  "quot": 5452,
-  "quot</w>": 47587,
-  "quota</w>": 42097,
-  "quotation</w>": 49195,
-  "quote": 15446,
-  "quote</w>": 4020,
-  "quoted</w>": 27706,
-  "quoteoftheday</w>": 19975,
-  "quotes</w>": 5808,
-  "quoting</w>": 31651,
-  "qur</w>": 37782,
-  "quran</w>": 19690,
-  "qureshi</w>": 46307,
-  "qvist</w>": 42322,
-  "qx</w>": 45038,
-  "r": 81,
-  "r</w>": 337,
-  "ra": 559,
-  "ra</w>": 1735,
-  "raa</w>": 44344,
-  "rab": 14816,
-  "rab</w>": 33224,
-  "rabb": 6875,
-  "rabbi</w>": 20959,
-  "rabbit</w>": 10274,
-  "rabbits</w>": 27028,
-  "rabhu</w>": 25806,
-  "rable</w>": 10182,
-  "rac": 1773,
-  "rac</w>": 30462,
-  "raccoon</w>": 29516,
-  "race": 10978,
-  "race</w>": 2471,
-  "racec": 18814,
-  "racecourse</w>": 25036,
-  "raced</w>": 36021,
-  "racer</w>": 16798,
-  "racers</w>": 33603,
-  "races</w>": 8605,
-  "raceway</w>": 24650,
-  "rach": 6876,
-  "rach</w>": 33429,
-  "racha": 21952,
-  "racha</w>": 35022,
-  "rachael</w>": 29095,
-  "rachel": 13511,
-  "rachel</w>": 8029,
-  "raci": 33381,
-  "racial</w>": 13801,
-  "racially</w>": 43577,
-  "racing": 23306,
-  "racing</w>": 3699,
-  "racism</w>": 11276,
-  "racist</w>": 9684,
-  "racists</w>": 41777,
-  "rack": 24600,
-  "rack</w>": 12034,
-  "racket</w>": 37691,
-  "racks</w>": 21191,
-  "rad": 4473,
-  "rad</w>": 8238,
-  "rada</w>": 30437,
-  "radar</w>": 9672,
-  "radcliffe</w>": 33096,
-  "rade": 44494,
-  "rade</w>": 17911,
-  "rader</w>": 45002,
-  "radford</w>": 45800,
-  "radha</w>": 43122,
-  "radi": 5772,
-  "radial</w>": 42028,
-  "radiance</w>": 45670,
-  "radiant</w>": 25614,
-  "radiation</w>": 18210,
-  "radiator</w>": 39372,
-  "radic": 18082,
-  "radical</w>": 13712,
-  "radicals</w>": 45903,
-  "radio": 7176,
-  "radio</w>": 2638,
-  "radioactive</w>": 34704,
-  "radiodisney</w>": 36483,
-  "radiohead</w>": 39472,
-  "radiology</w>": 29684,
-  "radios</w>": 43669,
-  "radish</w>": 37789,
-  "radius</w>": 37570,
-  "rado</w>": 29784,
-  "rae": 21646,
-  "rae</w>": 15051,
-  "rael</w>": 45390,
-  "raer</w>": 44561,
-  "raf": 11495,
-  "raf</w>": 11490,
-  "rafa": 14352,
-  "rafa</w>": 24850,
-  "rafael": 38221,
-  "rafael</w>": 19216,
-  "rafaelnadal</w>": 49219,
-  "raff": 34900,
-  "raffic</w>": 32928,
-  "raffle</w>": 13752,
-  "raffles</w>": 43489,
-  "rafi": 35304,
-  "raft</w>": 9233,
-  "rafting</w>": 36309,
-  "rag": 13958,
-  "rag</w>": 20687,
-  "rage</w>": 8593,
-  "rages</w>": 34253,
-  "ragh": 35642,
-  "ragha": 40972,
-  "raging</w>": 25015,
-  "ragn": 24125,
-  "ragnar": 34385,
-  "ragnarok</w>": 41856,
-  "ragon</w>": 34768,
-  "rags</w>": 47838,
-  "rah": 12277,
-  "rah</w>": 8766,
-  "raheem</w>": 43317,
-  "rahim</w>": 24152,
-  "rahman</w>": 19680,
-  "rahu": 13129,
-  "rahul": 37239,
-  "rahul</w>": 17440,
-  "rahulg": 27510,
-  "rahulgandhi</w>": 28293,
-  "rai": 9165,
-  "rai</w>": 9638,
-  "raid</w>": 6877,
-  "raided</w>": 43417,
-  "raider": 27368,
-  "raider</w>": 21455,
-  "raidernation</w>": 47901,
-  "raiders</w>": 11817,
-  "raids</w>": 26655,
-  "rail": 4573,
-  "rail</w>": 6879,
-  "raila</w>": 47273,
-  "railminindia</w>": 35557,
-  "railroad</w>": 17080,
-  "rails</w>": 23427,
-  "railway": 27614,
-  "railway</w>": 7856,
-  "railwayana</w>": 46750,
-  "railways</w>": 20765,
-  "raim": 45785,
-  "rain": 3128,
-  "rain</w>": 2443,
-  "raina</w>": 30564,
-  "rainbow": 24562,
-  "rainbow</w>": 6286,
-  "rainbows</w>": 30483,
-  "raine": 49038,
-  "raine</w>": 6871,
-  "rained</w>": 32310,
-  "rainf": 15024,
-  "rainfall</w>": 15350,
-  "rainforest</w>": 22823,
-  "rainier</w>": 37850,
-  "raining</w>": 13964,
-  "rains</w>": 14272,
-  "rainy</w>": 10222,
-  "rais": 14729,
-  "raise": 24249,
-  "raise</w>": 5078,
-  "raised</w>": 6027,
-  "raiser</w>": 33555,
-  "raises</w>": 13297,
-  "raisethe": 47109,
-  "raisin</w>": 36864,
-  "raising</w>": 6883,
-  "raj": 5958,
-  "raj</w>": 10813,
-  "raja": 46069,
-  "raja</w>": 19150,
-  "rajan</w>": 46595,
-  "rajas": 16185,
-  "rajasthan</w>": 18017,
-  "raje": 21899,
-  "rajesh</w>": 43602,
-  "raji": 27569,
-  "rajini": 29600,
-  "rajini</w>": 40622,
-  "rajinikanth</w>": 32922,
-  "rajiv</w>": 40197,
-  "rajkumar</w>": 49304,
-  "rajput</w>": 47572,
-  "raju</w>": 47029,
-  "rak": 13523,
-  "rak</w>": 26287,
-  "rake": 26825,
-  "rake</w>": 32712,
-  "rakesh</w>": 41083,
-  "ral": 8062,
-  "ral</w>": 1406,
-  "rale": 14192,
-  "raleigh</w>": 18207,
-  "rall": 23249,
-  "rallies</w>": 25230,
-  "rally": 18882,
-  "rally</w>": 5041,
-  "rallying</w>": 36836,
-  "ralph": 25290,
-  "ralph</w>": 12234,
-  "ram": 1976,
-  "ram</w>": 2007,
-  "rama</w>": 22112,
-  "ramad": 12736,
-  "ramadan</w>": 15547,
-  "ramadhan</w>": 47415,
-  "raman</w>": 39816,
-  "ramapho": 43963,
-  "ramaphosa</w>": 44993,
-  "ramatta</w>": 49112,
-  "rambo</w>": 41855,
-  "ramcharan</w>": 45275,
-  "rame</w>": 47745,
-  "ramen</w>": 18892,
-  "ramesh": 48640,
-  "ramesh</w>": 40186,
-  "rami</w>": 43016,
-  "ramirez</w>": 23877,
-  "ramon</w>": 27958,
-  "ramone</w>": 47201,
-  "ramos</w>": 21046,
-  "ramp</w>": 14271,
-  "rampage</w>": 32077,
-  "rampant</w>": 41985,
-  "ramps</w>": 35257,
-  "rams</w>": 10292,
-  "ramsay</w>": 26259,
-  "ramsey</w>": 19215,
-  "ran": 1433,
-  "ran</w>": 4031,
-  "rana</w>": 22143,
-  "ranbir</w>": 40881,
-  "rance</w>": 29034,
-  "ranch": 43955,
-  "ranch</w>": 10659,
-  "rancho</w>": 26258,
-  "rand": 5628,
-  "rand</w>": 18718,
-  "randall</w>": 23639,
-  "rande</w>": 21469,
-  "randolph</w>": 29899,
-  "random": 11396,
-  "random</w>": 6160,
-  "randomly</w>": 17272,
-  "rands</w>": 39153,
-  "randy": 29479,
-  "randy</w>": 13279,
-  "rane</w>": 28852,
-  "rang": 4043,
-  "rang</w>": 24377,
-  "range": 13627,
-  "range</w>": 3818,
-  "ranger": 31472,
-  "ranger</w>": 13593,
-  "rangers</w>": 7664,
-  "ranges</w>": 25685,
-  "ranging</w>": 25946,
-  "rani": 29264,
-  "rani</w>": 22631,
-  "rank</w>": 11501,
-  "ranked</w>": 8307,
-  "rankin</w>": 37539,
-  "ranking</w>": 12347,
-  "rankings</w>": 12596,
-  "ranks</w>": 14469,
-  "rano</w>": 18608,
-  "rans</w>": 46259,
-  "ransom": 28523,
-  "ransom</w>": 34646,
-  "ransomware</w>": 33815,
-  "rant": 46467,
-  "rant</w>": 9819,
-  "rants</w>": 34014,
-  "ranveer": 32402,
-  "ranveer</w>": 41482,
-  "ranveerofficial</w>": 42116,
-  "rao</w>": 16913,
-  "rap": 7773,
-  "rap</w>": 7348,
-  "rape": 46099,
-  "rape</w>": 10070,
-  "raped</w>": 23700,
-  "rapha": 22754,
-  "raphael</w>": 30091,
-  "rapi": 8610,
-  "rapid": 47697,
-  "rapid</w>": 12205,
-  "rapidly</w>": 16710,
-  "rapids</w>": 18848,
-  "raping</w>": 44926,
-  "rapist</w>": 33360,
-  "rapp": 19283,
-  "rapper</w>": 11860,
-  "rappers</w>": 30315,
-  "rapping</w>": 42864,
-  "raps</w>": 37887,
-  "raptor</w>": 26762,
-  "raptors</w>": 17035,
-  "raq": 39787,
-  "raq</w>": 43312,
-  "raqqa</w>": 47074,
-  "raquel</w>": 44338,
-  "rar": 26819,
-  "rar</w>": 24605,
-  "rard</w>": 21012,
-  "rare": 18992,
-  "rare</w>": 3865,
-  "rarely</w>": 17315,
-  "rarest</w>": 43237,
-  "rarity</w>": 45862,
-  "ras": 23492,
-  "ras</w>": 8224,
-  "rasc": 30085,
-  "rascal</w>": 43481,
-  "rash": 14917,
-  "rash</w>": 30608,
-  "rashad</w>": 46527,
-  "rasheed</w>": 41638,
-  "rashi": 19426,
-  "rashid</w>": 26757,
-  "rasp": 10487,
-  "raspberries</w>": 37742,
-  "raspberry": 40162,
-  "raspberry</w>": 13615,
-  "raspberrypi</w>": 43934,
-  "rass</w>": 45654,
-  "rasta</w>": 47002,
-  "rat": 3806,
-  "rat</w>": 8985,
-  "rata</w>": 28568,
-  "ratchet</w>": 25078,
-  "rate</w>": 5068,
-  "rated</w>": 8183,
-  "rates</w>": 6864,
-  "rath": 18268,
-  "rath</w>": 39772,
-  "rather</w>": 5252,
-  "rati": 11486,
-  "rating</w>": 10567,
-  "ratings</w>": 14176,
-  "ratio</w>": 15893,
-  "ration": 27002,
-  "ration</w>": 35662,
-  "rational</w>": 33086,
-  "ratna</w>": 49078,
-  "ratri</w>": 32288,
-  "rats</w>": 19043,
-  "ratt": 20737,
-  "ratt</w>": 34785,
-  "rattle": 40824,
-  "rattle</w>": 41839,
-  "rau": 27744,
-  "raul</w>": 30218,
-  "raun": 41169,
-  "rav": 14367,
-  "rav</w>": 23606,
-  "rave": 38784,
-  "rave</w>": 17601,
-  "ravel</w>": 27927,
-  "raven": 10269,
-  "raven</w>": 16803,
-  "ravens</w>": 17946,
-  "ravi": 22947,
-  "ravi</w>": 19538,
-  "ravin": 39099,
-  "raving</w>": 45807,
-  "raviol": 41104,
-  "ravioli</w>": 43460,
-  "raw": 10166,
-  "raw</w>": 6323,
-  "rawlings</w>": 40662,
-  "rax</w>": 38520,
-  "ray": 5312,
-  "ray</w>": 3077,
-  "raya</w>": 29991,
-  "raymond</w>": 16683,
-  "rayn": 47852,
-  "rayon</w>": 47900,
-  "rays</w>": 11064,
-  "raz": 9700,
-  "raz</w>": 19087,
-  "raza</w>": 37724,
-  "razer</w>": 33832,
-  "razor": 24934,
-  "razor</w>": 21300,
-  "razz": 43769,
-  "rb": 12740,
-  "rb</w>": 7477,
-  "rbc</w>": 37500,
-  "rbi</w>": 15687,
-  "rbs</w>": 29102,
-  "rc": 7575,
-  "rc</w>": 7457,
-  "rca</w>": 33942,
-  "rcb</w>": 45240,
-  "rcmp</w>": 31489,
-  "rcn</w>": 49370,
-  "rctid</w>": 49223,
-  "rd": 13501,
-  "rd</w>": 1973,
-  "rda</w>": 45755,
-  "rdr</w>": 44364,
-  "rds</w>": 32378,
-  "re": 515,
-  "re</w>": 810,
-  "rea</w>": 11521,
-  "reach": 4483,
-  "reach</w>": 4279,
-  "reached</w>": 6878,
-  "reaches</w>": 14462,
-  "reaching</w>": 11358,
-  "react": 36566,
-  "react</w>": 15065,
-  "reacted</w>": 42515,
-  "reacting</w>": 40595,
-  "reaction</w>": 7189,
-  "reactions</w>": 18438,
-  "reactive</w>": 42072,
-  "reactjs</w>": 46173,
-  "reactor</w>": 32037,
-  "reacts</w>": 23115,
-  "read": 933,
-  "read</w>": 1199,
-  "reader</w>": 9884,
-  "readers</w>": 10335,
-  "readiness</w>": 28131,
-  "reading": 17556,
-  "reading</w>": 2337,
-  "readingfc</w>": 47428,
-  "readings</w>": 23361,
-  "reads</w>": 6597,
-  "ready": 17351,
-  "ready</w>": 1112,
-  "reagan</w>": 17767,
-  "real": 2017,
-  "real</w>": 1532,
-  "realdonaldtrump</w>": 7025,
-  "reale": 5930,
-  "realest</w>": 45855,
-  "realestate": 32937,
-  "realestate</w>": 6569,
-  "reali": 4185,
-  "realis</w>": 38114,
-  "realise</w>": 14773,
-  "realised</w>": 17945,
-  "realising</w>": 39537,
-  "realism</w>": 20024,
-  "realist</w>": 30248,
-  "realistic</w>": 16157,
-  "realities</w>": 32443,
-  "reality": 46802,
-  "reality</w>": 5004,
-  "realization</w>": 40402,
-  "realize</w>": 7538,
-  "realized</w>": 10489,
-  "realizes</w>": 42918,
-  "realizing</w>": 23284,
-  "reall": 39686,
-  "really": 43249,
-  "really</w>": 1414,
-  "realm</w>": 23083,
-  "realmadrid</w>": 27866,
-  "realms</w>": 43033,
-  "realness</w>": 46761,
-  "realtime": 44002,
-  "realtime</w>": 38203,
-  "realtor</w>": 18038,
-  "realtors</w>": 31759,
-  "realty</w>": 20471,
-  "ream": 37242,
-  "ream</w>": 15219,
-  "rean</w>": 48477,
-  "reap</w>": 31334,
-  "reaper</w>": 29922,
-  "rear": 39652,
-  "rear</w>": 10223,
-  "reas": 9121,
-  "reason": 12882,
-  "reason</w>": 3893,
-  "reasonable</w>": 18558,
-  "reasonably</w>": 38589,
-  "reasoning</w>": 30341,
-  "reasons</w>": 5686,
-  "reau</w>": 32398,
-  "reb": 12370,
-  "reb</w>": 18796,
-  "reba</w>": 48543,
-  "rebate</w>": 43817,
-  "rebe": 25227,
-  "rebec": 10774,
-  "rebecca</w>": 12892,
-  "rebel": 8185,
-  "rebel</w>": 12248,
-  "rebellion</w>": 22170,
-  "rebels</w>": 13623,
-  "rebirth</w>": 33303,
-  "reboot</w>": 22385,
-  "reborn</w>": 30229,
-  "reboun": 43381,
-  "rebound</w>": 31280,
-  "rebounds</w>": 19190,
-  "rebs</w>": 28164,
-  "rebu": 43162,
-  "rebuild</w>": 20022,
-  "rebuilding</w>": 30880,
-  "rebuilt</w>": 33137,
-  "rec": 1020,
-  "rec</w>": 11243,
-  "recall</w>": 15151,
-  "recalled</w>": 32142,
-  "recalling</w>": 47855,
-  "recalls</w>": 24740,
-  "recap": 29816,
-  "recap</w>": 8337,
-  "recaps</w>": 47997,
-  "recard</w>": 35536,
-  "rece": 1890,
-  "recei": 2148,
-  "receip": 38503,
-  "receipt</w>": 30479,
-  "receipts</w>": 41181,
-  "receive</w>": 4800,
-  "received</w>": 4178,
-  "receiver</w>": 17659,
-  "receivers</w>": 45294,
-  "receives</w>": 10027,
-  "receiving</w>": 7252,
-  "recent</w>": 3969,
-  "recently</w>": 4482,
-  "recep": 17450,
-  "reception</w>": 8364,
-  "receptions</w>": 46881,
-  "receptor</w>": 41835,
-  "recess</w>": 38182,
-  "recession</w>": 27176,
-  "recharge</w>": 29396,
-  "rechargeable</w>": 37516,
-  "reci": 2037,
-  "recipe": 28923,
-  "recipe</w>": 4614,
-  "recipeoftheday</w>": 38727,
-  "recipes</w>": 9243,
-  "recipi": 10136,
-  "recipient</w>": 13703,
-  "recipients</w>": 18940,
-  "recipro": 41789,
-  "recital</w>": 23457,
-  "recite</w>": 48824,
-  "reck": 11715,
-  "reckless</w>": 26284,
-  "reckon</w>": 23854,
-  "recl": 42277,
-  "reclaim</w>": 35969,
-  "reclaimed</w>": 32648,
-  "reco": 2535,
-  "reco</w>": 46038,
-  "recogn": 6343,
-  "recogni": 5329,
-  "recognise</w>": 19824,
-  "recognised</w>": 20986,
-  "recognising</w>": 48423,
-  "recognition</w>": 9415,
-  "recognizable</w>": 47240,
-  "recognize</w>": 10905,
-  "recognized</w>": 9929,
-  "recognizes</w>": 26909,
-  "recognizing</w>": 19666,
-  "recomm": 4540,
-  "recommend": 11628,
-  "recommend</w>": 8942,
-  "recommendation</w>": 20118,
-  "recommendations</w>": 16516,
-  "recommended</w>": 11100,
-  "recommending</w>": 44301,
-  "recommends</w>": 22940,
-  "recon": 15371,
-  "recon</w>": 28996,
-  "reconciliation</w>": 26451,
-  "reconstruction</w>": 24955,
-  "recor": 1723,
-  "record": 21328,
-  "record</w>": 2717,
-  "recorded</w>": 9392,
-  "recorder</w>": 26747,
-  "recording": 48237,
-  "recording</w>": 6942,
-  "recordings</w>": 19715,
-  "records</w>": 4529,
-  "recover</w>": 16785,
-  "recovered</w>": 16444,
-  "recovering</w>": 19005,
-  "recovers</w>": 47935,
-  "recovery</w>": 6591,
-  "recre": 22148,
-  "recreate</w>": 29775,
-  "recreated</w>": 40888,
-  "recreating</w>": 48224,
-  "recreation</w>": 17331,
-  "recreational</w>": 24329,
-  "recru": 4745,
-  "recruit": 9011,
-  "recruit</w>": 15585,
-  "recruited</w>": 36518,
-  "recruiter</w>": 43120,
-  "recruiters</w>": 46542,
-  "recruiting</w>": 10533,
-  "recruitment</w>": 10541,
-  "recruits</w>": 22647,
-  "recs</w>": 33069,
-  "rectan": 43041,
-  "rectangular</w>": 43321,
-  "rector</w>": 41585,
-  "recu": 26798,
-  "recur": 19983,
-  "recurring</w>": 35912,
-  "recy": 6790,
-  "recycla": 40659,
-  "recyclable</w>": 48907,
-  "recycle</w>": 19366,
-  "recycled</w>": 16829,
-  "recycling</w>": 12566,
-  "red": 1893,
-  "red</w>": 736,
-  "redbubble</w>": 46137,
-  "redbull": 29483,
-  "redbull</w>": 29219,
-  "redcarpet</w>": 32259,
-  "redcross</w>": 30659,
-  "redd": 22149,
-  "redd</w>": 40618,
-  "redding</w>": 41061,
-  "reddish</w>": 43383,
-  "reddit</w>": 15226,
-  "reddy</w>": 23028,
-  "rede": 10913,
-  "redeem</w>": 37449,
-  "redefining</w>": 46352,
-  "redemption</w>": 20233,
-  "redesign</w>": 24188,
-  "redesigned</w>": 33111,
-  "redevelopment</w>": 30322,
-  "redhead</w>": 36267,
-  "redi": 7976,
-  "redman</w>": 44753,
-  "redmond</w>": 39627,
-  "rednation": 28180,
-  "rednationrising</w>": 28262,
-  "redneck</w>": 39105,
-  "redness</w>": 22626,
-  "redo</w>": 42524,
-  "redon": 48506,
-  "redro": 37722,
-  "reds</w>": 11221,
-  "redskins</w>": 19023,
-  "redsox</w>": 19144,
-  "reduc": 5015,
-  "reduce</w>": 6604,
-  "reduced</w>": 10821,
-  "reduces</w>": 20539,
-  "reducing</w>": 13836,
-  "reduction</w>": 12219,
-  "reductions</w>": 48263,
-  "redux</w>": 43014,
-  "redvelvet</w>": 41845,
-  "redwings</w>": 31058,
-  "redwood</w>": 31748,
-  "ree": 9282,
-  "ree</w>": 5813,
-  "reebok</w>": 26734,
-  "reece</w>": 30457,
-  "reed": 26209,
-  "reed</w>": 10435,
-  "reedus</w>": 32865,
-  "reef": 46557,
-  "reef</w>": 15624,
-  "reefs</w>": 34459,
-  "reel": 34467,
-  "reel</w>": 17166,
-  "reels</w>": 48127,
-  "reem</w>": 48891,
-  "reen": 21638,
-  "reen</w>": 23679,
-  "rees</w>": 18314,
-  "reese</w>": 20929,
-  "reeves</w>": 23060,
-  "ref": 4067,
-  "ref</w>": 9591,
-  "refe": 5624,
-  "refer": 18425,
-  "refer</w>": 22325,
-  "referee</w>": 20398,
-  "referees</w>": 45583,
-  "referen": 13535,
-  "reference</w>": 10214,
-  "references</w>": 24009,
-  "referendum</w>": 16732,
-  "referr": 47784,
-  "referral</w>": 30219,
-  "referred</w>": 22969,
-  "referring</w>": 29797,
-  "refers</w>": 30069,
-  "refill</w>": 37859,
-  "refin": 13455,
-  "refined</w>": 26098,
-  "refinery</w>": 31393,
-  "refining</w>": 48406,
-  "reflec": 4608,
-  "reflect</w>": 13373,
-  "reflected</w>": 28732,
-  "reflecting</w>": 19700,
-  "reflection</w>": 11884,
-  "reflections</w>": 16647,
-  "reflective</w>": 27008,
-  "reflects</w>": 15821,
-  "reflex": 45756,
-  "reflex</w>": 36050,
-  "reform": 45678,
-  "reform</w>": 8875,
-  "reformation</w>": 45119,
-  "reformed</w>": 40880,
-  "reforms</w>": 19274,
-  "refr": 34850,
-  "refre": 11995,
-  "refresh": 17836,
-  "refresh</w>": 23288,
-  "refreshed</w>": 35925,
-  "refresher</w>": 41481,
-  "refreshing</w>": 14159,
-  "refreshments</w>": 31127,
-  "refriger": 21076,
-  "refrigerator</w>": 36662,
-  "refs</w>": 35595,
-  "refu": 3545,
-  "refuge": 5638,
-  "refuge</w>": 17432,
-  "refugee</w>": 11556,
-  "refugees": 42687,
-  "refugees</w>": 8316,
-  "refund</w>": 28899,
-  "refur": 15519,
-  "refurbi": 18259,
-  "refurbished</w>": 26190,
-  "refurbishment</w>": 35803,
-  "refusal</w>": 46547,
-  "refuse</w>": 16412,
-  "refused</w>": 17190,
-  "refuses</w>": 20085,
-  "refusing</w>": 26704,
-  "reg": 5472,
-  "reg</w>": 12353,
-  "regain</w>": 37510,
-  "regal": 31512,
-  "regal</w>": 25028,
-  "regan</w>": 34062,
-  "regar": 5881,
-  "regard</w>": 21801,
-  "regarded</w>": 32017,
-  "regarding</w>": 8493,
-  "regardless</w>": 17220,
-  "regards</w>": 23079,
-  "regatta</w>": 26316,
-  "regen": 46545,
-  "regency</w>": 29341,
-  "regeneration</w>": 29257,
-  "regent</w>": 30455,
-  "regents</w>": 46710,
-  "regg": 12757,
-  "reggae": 37821,
-  "reggae</w>": 15214,
-  "reggie</w>": 21872,
-  "regi": 1608,
-  "regime</w>": 11378,
-  "regiment</w>": 18603,
-  "regin": 23287,
-  "regina</w>": 16841,
-  "region": 16542,
-  "region</w>": 4341,
-  "regional</w>": 5552,
-  "regionals</w>": 26043,
-  "regions</w>": 14530,
-  "regis</w>": 28094,
-  "register</w>": 3967,
-  "registered</w>": 10254,
-  "registering</w>": 33510,
-  "registr": 29193,
-  "registration</w>": 7302,
-  "registrations</w>": 38423,
-  "registry</w>": 30020,
-  "rego</w>": 47351,
-  "regram</w>": 30329,
-  "regrann</w>": 48802,
-  "regre": 8627,
-  "regression</w>": 43733,
-  "regret</w>": 14374,
-  "regrets</w>": 23231,
-  "regu": 3411,
-  "regui</w>": 46722,
-  "regul": 11847,
-  "regular": 14882,
-  "regular</w>": 6307,
-  "regularly</w>": 17263,
-  "regulat": 14575,
-  "regulate</w>": 33494,
-  "regulated</w>": 31384,
-  "regulating</w>": 48156,
-  "regulation</w>": 14267,
-  "regulations</w>": 16654,
-  "regulator</w>": 30364,
-  "regulators</w>": 35837,
-  "regulatory</w>": 17717,
-  "reh": 21492,
-  "reha": 10193,
-  "rehab</w>": 16973,
-  "rehabil": 17930,
-  "rehabilitation</w>": 21042,
-  "rehear": 7273,
-  "rehearsal</w>": 11482,
-  "rehearsals</w>": 17977,
-  "rehearsing</w>": 23125,
-  "rehman</w>": 39206,
-  "rei": 15343,
-  "rei</w>": 26033,
-  "reic": 41230,
-  "reich": 48589,
-  "reich</w>": 28929,
-  "reid": 45125,
-  "reid</w>": 11744,
-  "reig": 13092,
-  "reign": 41419,
-  "reign</w>": 14827,
-  "reigning</w>": 28409,
-  "reigns</w>": 21217,
-  "reiki</w>": 46960,
-  "reilly</w>": 28120,
-  "reim": 35421,
-  "reimagined</w>": 46799,
-  "reimbur": 39857,
-  "rein": 9240,
-  "rein</w>": 45009,
-  "reina</w>": 43847,
-  "reinde": 23810,
-  "reindeer</w>": 25072,
-  "reinfor": 48161,
-  "reinforced</w>": 41909,
-  "reinst": 33969,
-  "reinvent</w>": 38171,
-  "reissue</w>": 34042,
-  "reiter": 35394,
-  "rejec": 9958,
-  "reject</w>": 22435,
-  "rejected</w>": 17505,
-  "rejection</w>": 32264,
-  "rejects</w>": 23155,
-  "rejo": 20150,
-  "rejoice</w>": 24712,
-  "rejuven": 26332,
-  "rek": 47542,
-  "rek</w>": 19201,
-  "rel": 1825,
-  "rel</w>": 5233,
-  "rela": 4362,
-  "reland</w>": 15220,
-  "relat": 27192,
-  "relatable</w>": 31010,
-  "relate</w>": 17520,
-  "related</w>": 5880,
-  "relates</w>": 36064,
-  "relating</w>": 27373,
-  "relation": 4561,
-  "relation</w>": 16207,
-  "relations</w>": 10100,
-  "relationship": 47239,
-  "relationship</w>": 5837,
-  "relationships</w>": 10610,
-  "relative</w>": 17265,
-  "relatively</w>": 18351,
-  "relatives</w>": 21981,
-  "relax": 6777,
-  "relax</w>": 9035,
-  "relaxation</w>": 22194,
-  "relaxed</w>": 18999,
-  "relaxing</w>": 10256,
-  "relay</w>": 12403,
-  "relays</w>": 28404,
-  "rele": 1602,
-  "release": 29100,
-  "release</w>": 2706,
-  "released</w>": 3410,
-  "releases</w>": 7393,
-  "releasethe": 44008,
-  "releasing</w>": 10321,
-  "releg": 23378,
-  "relegated</w>": 45884,
-  "relegation</w>": 35040,
-  "relent": 22213,
-  "relentless</w>": 27207,
-  "relessly</w>": 33927,
-  "relev": 9349,
-  "relevance</w>": 31400,
-  "relevant</w>": 10568,
-  "reli": 2674,
-  "reliability</w>": 27220,
-  "reliable</w>": 13714,
-  "reliance</w>": 27727,
-  "relic</w>": 27802,
-  "relics</w>": 43208,
-  "relief</w>": 7518,
-  "relies</w>": 41579,
-  "relieve</w>": 28623,
-  "relieved</w>": 36597,
-  "religi": 4940,
-  "religion</w>": 8803,
-  "religions</w>": 31189,
-  "religious</w>": 8289,
-  "relish</w>": 35550,
-  "relive</w>": 23939,
-  "reliving</w>": 47558,
-  "rell": 28802,
-  "rell</w>": 7127,
-  "rella</w>": 9952,
-  "relle</w>": 31390,
-  "reloaded</w>": 38908,
-  "relocated</w>": 46791,
-  "relocation</w>": 39198,
-  "rels</w>": 23320,
-  "relu": 32058,
-  "reluct": 32549,
-  "reluctant</w>": 45552,
-  "rely</w>": 4158,
-  "relying</w>": 42168,
-  "rem": 15098,
-  "rem</w>": 21637,
-  "rema": 4569,
-  "remain": 29144,
-  "remain</w>": 6415,
-  "remainder</w>": 41672,
-  "remained</w>": 23714,
-  "remaining</w>": 11392,
-  "remains</w>": 6807,
-  "remake</w>": 16234,
-  "remark": 11136,
-  "remarkable</w>": 12404,
-  "remarkably</w>": 39087,
-  "remarks</w>": 15001,
-  "remastered</w>": 24932,
-  "rematch</w>": 26473,
-  "rembrandt</w>": 45972,
-  "reme": 20071,
-  "remedi": 18442,
-  "remedies</w>": 25581,
-  "remedy</w>": 25794,
-  "remem": 7966,
-  "rememb": 7062,
-  "remember": 22045,
-  "remember</w>": 2195,
-  "remembered</w>": 11763,
-  "remembering</w>": 8135,
-  "remembers</w>": 12551,
-  "remembrance": 40321,
-  "remembrance</w>": 15860,
-  "remembranceday</w>": 48333,
-  "rement</w>": 7173,
-  "rements</w>": 12667,
-  "remi</w>": 41693,
-  "remin": 3216,
-  "remind</w>": 9868,
-  "reminded</w>": 12309,
-  "reminder</w>": 5565,
-  "reminders</w>": 34121,
-  "reminding</w>": 19976,
-  "reminds</w>": 8303,
-  "remington</w>": 43527,
-  "reminis": 17723,
-  "reminiscent</w>": 41704,
-  "reminiscing</w>": 32552,
-  "remix</w>": 8519,
-  "remixes</w>": 31011,
-  "remn": 29127,
-  "remnants</w>": 39032,
-  "remo": 4064,
-  "remo</w>": 33259,
-  "remodel": 34159,
-  "remodel</w>": 37495,
-  "remodeling</w>": 41432,
-  "remote": 47163,
-  "remote</w>": 9687,
-  "remotely</w>": 32375,
-  "removable</w>": 44095,
-  "removal</w>": 13679,
-  "remove</w>": 9709,
-  "removed</w>": 10289,
-  "remover</w>": 44267,
-  "removes</w>": 29018,
-  "removing</w>": 18504,
-  "remy</w>": 30434,
-  "ren": 737,
-  "ren</w>": 2596,
-  "rena</w>": 12591,
-  "renais": 15409,
-  "renaissance</w>": 16007,
-  "renal</w>": 36096,
-  "renamed</w>": 31535,
-  "renault</w>": 17600,
-  "rence": 19245,
-  "rence</w>": 1553,
-  "rences</w>": 8545,
-  "rend": 33932,
-  "rend</w>": 22851,
-  "render": 39752,
-  "render</w>": 13024,
-  "rendered</w>": 23652,
-  "rendering</w>": 21339,
-  "renders</w>": 39419,
-  "rendez": 43293,
-  "rendezvous</w>": 45644,
-  "rendition</w>": 28891,
-  "rendon</w>": 46272,
-  "rendous</w>": 49403,
-  "rends</w>": 38842,
-  "rene": 15438,
-  "rene</w>": 12597,
-  "renee</w>": 23480,
-  "reneg": 29909,
-  "renegade</w>": 41229,
-  "renergy</w>": 37151,
-  "renew": 6645,
-  "renew</w>": 22015,
-  "renewable": 31269,
-  "renewable</w>": 15941,
-  "renewableenergy</w>": 33357,
-  "renewables</w>": 21619,
-  "renewal</w>": 21270,
-  "renewed</w>": 20524,
-  "renfre": 45043,
-  "reng</w>": 36795,
-  "reno": 11520,
-  "reno</w>": 12831,
-  "renov": 9984,
-  "renovated</w>": 23839,
-  "renovation</w>": 17121,
-  "renovations</w>": 31311,
-  "renowned</w>": 14727,
-  "rens</w>": 18183,
-  "renshaw</w>": 44445,
-  "rent": 17377,
-  "rent</w>": 1609,
-  "rental</w>": 12193,
-  "rentals</w>": 24105,
-  "rented</w>": 35932,
-  "rential</w>": 31692,
-  "renting</w>": 37662,
-  "rently</w>": 2615,
-  "rents</w>": 31109,
-  "reo": 15963,
-  "reo</w>": 26854,
-  "reon</w>": 15761,
-  "reopen</w>": 26883,
-  "reopened</w>": 32868,
-  "reopening</w>": 36663,
-  "reopens</w>": 40644,
-  "rep": 4229,
-  "rep</w>": 6487,
-  "repair</w>": 8419,
-  "repaired</w>": 32953,
-  "repairing</w>": 38534,
-  "repairs</w>": 16297,
-  "repar": 34065,
-  "repe": 5785,
-  "repeal": 42622,
-  "repeal</w>": 23938,
-  "repeat</w>": 10192,
-  "repeated</w>": 27904,
-  "repeatedly</w>": 26630,
-  "repeating</w>": 33834,
-  "repeats</w>": 39158,
-  "repell": 46235,
-  "repent": 47261,
-  "reper": 29085,
-  "repet": 38533,
-  "repl": 13047,
-  "replac": 6069,
-  "replace</w>": 9466,
-  "replaceable</w>": 47762,
-  "replaced</w>": 13200,
-  "replacement</w>": 10835,
-  "replaces</w>": 27781,
-  "replacing</w>": 18647,
-  "replay</w>": 16875,
-  "repleni": 44839,
-  "replic": 21651,
-  "replica</w>": 18125,
-  "replied</w>": 24238,
-  "replies</w>": 18808,
-  "reply</w>": 8965,
-  "replying</w>": 47599,
-  "repor": 2628,
-  "report</w>": 2417,
-  "reported</w>": 7598,
-  "reportedly</w>": 10953,
-  "reporter</w>": 11019,
-  "reporters</w>": 18454,
-  "reporting</w>": 9218,
-  "reports</w>": 4908,
-  "reposit": 41276,
-  "repository</w>": 46977,
-  "repost": 33147,
-  "repost</w>": 7217,
-  "repostapp</w>": 38388,
-  "reposting</w>": 20223,
-  "reppin</w>": 19163,
-  "repping</w>": 22574,
-  "repre": 3397,
-  "represent": 8293,
-  "represent</w>": 8406,
-  "representation</w>": 13520,
-  "representative</w>": 13175,
-  "representatives</w>": 15591,
-  "represented</w>": 12299,
-  "representing</w>": 7561,
-  "represents</w>": 14433,
-  "repri": 31854,
-  "reproduction</w>": 35714,
-  "reproductive</w>": 25522,
-  "reps</w>": 14265,
-  "reptile</w>": 36938,
-  "reptiles</w>": 38679,
-  "republic": 6376,
-  "republic</w>": 7185,
-  "republican</w>": 9842,
-  "republicans</w>": 12384,
-  "repur": 41852,
-  "req</w>": 42411,
-  "requ": 10664,
-  "reque": 9539,
-  "request</w>": 7813,
-  "requested</w>": 16199,
-  "requesting</w>": 33245,
-  "requests</w>": 17087,
-  "requi": 4863,
-  "requiem</w>": 40316,
-  "require</w>": 14437,
-  "required</w>": 8500,
-  "requirement</w>": 27146,
-  "requirements</w>": 12860,
-  "requires</w>": 13396,
-  "requiring</w>": 33425,
-  "requis": 42602,
-  "rer": 41295,
-  "rer</w>": 3407,
-  "rera</w>": 14301,
-  "rero</w>": 21860,
-  "rers</w>": 18869,
-  "res": 4466,
-  "res</w>": 934,
-  "resc": 3956,
-  "rescheduled</w>": 43553,
-  "rescu": 8618,
-  "rescue": 28567,
-  "rescue</w>": 5718,
-  "rescued</w>": 11919,
-  "rescues</w>": 32439,
-  "rescuing</w>": 43770,
-  "rese": 13000,
-  "resear": 6090,
-  "research": 25694,
-  "research</w>": 2379,
-  "researched</w>": 42733,
-  "researcher</w>": 18334,
-  "researchers</w>": 9522,
-  "researching</w>": 24544,
-  "reseller</w>": 35391,
-  "resemb": 16916,
-  "resemblance</w>": 26856,
-  "resemble</w>": 37230,
-  "resembles</w>": 35417,
-  "reser": 16420,
-  "reserv": 11906,
-  "reservation</w>": 20289,
-  "reservations</w>": 19307,
-  "reserve</w>": 6911,
-  "reserved</w>": 19796,
-  "reserves</w>": 19705,
-  "reservoir</w>": 20574,
-  "reset</w>": 26250,
-  "resh</w>": 47432,
-  "reshi</w>": 39435,
-  "resi": 2152,
-  "residen": 22311,
-  "residence</w>": 11672,
-  "residences</w>": 38855,
-  "residency</w>": 18545,
-  "resident</w>": 9016,
-  "residente": 44637,
-  "residentevil</w>": 48393,
-  "residential</w>": 11002,
-  "residents</w>": 6008,
-  "resign</w>": 23584,
-  "resignation</w>": 24779,
-  "resigned</w>": 31014,
-  "resigns</w>": 29738,
-  "resil": 10932,
-  "resili": 39212,
-  "resilience</w>": 15271,
-  "resilient</w>": 24694,
-  "resin</w>": 24156,
-  "resist": 37345,
-  "resist</w>": 9587,
-  "resistance</w>": 7392,
-  "resistant</w>": 17542,
-  "resisting</w>": 43679,
-  "resolution</w>": 9977,
-  "resolutions</w>": 26816,
-  "resolve</w>": 20787,
-  "resolved</w>": 28807,
-  "reson": 18092,
-  "resonance</w>": 42310,
-  "resort</w>": 6594,
-  "resorts</w>": 18839,
-  "resource": 43729,
-  "resource</w>": 9760,
-  "resources</w>": 6723,
-  "respec": 7466,
-  "respect": 31411,
-  "respect</w>": 4916,
-  "respected</w>": 19126,
-  "respectful</w>": 24379,
-  "respecting</w>": 36172,
-  "respective</w>": 25817,
-  "respectively</w>": 28794,
-  "respects</w>": 23553,
-  "respir": 20771,
-  "respiratory</w>": 24483,
-  "respon": 2421,
-  "respond</w>": 12355,
-  "responded</w>": 21121,
-  "respondents</w>": 49253,
-  "responders</w>": 25155,
-  "responding</w>": 18037,
-  "responds</w>": 17436,
-  "response</w>": 5399,
-  "responses</w>": 19006,
-  "responsi": 5490,
-  "responsibilities</w>": 30375,
-  "responsibility</w>": 11272,
-  "responsible</w>": 8936,
-  "responsibly</w>": 33675,
-  "responsive</w>": 21544,
-  "ress": 34651,
-  "ress</w>": 13629,
-  "resso</w>": 15133,
-  "rest": 10974,
-  "rest</w>": 2539,
-  "restart</w>": 37378,
-  "restaur": 3775,
-  "restaurant": 41930,
-  "restaurant</w>": 4489,
-  "restaurants</w>": 11714,
-  "rested</w>": 46020,
-  "resting</w>": 18044,
-  "restless</w>": 36724,
-  "restling</w>": 30076,
-  "resto": 11118,
-  "resto</w>": 41666,
-  "restock</w>": 34060,
-  "restocked</w>": 36966,
-  "restor": 8984,
-  "restoration</w>": 11989,
-  "restorative</w>": 46509,
-  "restore</w>": 14008,
-  "restored</w>": 14238,
-  "restoring</w>": 24406,
-  "restra": 25424,
-  "restric": 11036,
-  "restricted</w>": 27197,
-  "restriction</w>": 44282,
-  "restrictions</w>": 19884,
-  "restroom</w>": 43423,
-  "restructuring</w>": 43260,
-  "rests</w>": 33775,
-  "resu": 10095,
-  "resul": 2655,
-  "result</w>": 5659,
-  "resulted</w>": 26449,
-  "resulting</w>": 24581,
-  "results</w>": 3790,
-  "resume</w>": 15077,
-  "resumes</w>": 30268,
-  "resur": 14865,
-  "resurg": 45962,
-  "resurgence</w>": 47692,
-  "resurrec": 18487,
-  "resurrection</w>": 25811,
-  "resusc": 47523,
-  "ret": 20500,
-  "ret</w>": 10048,
-  "reta": 20153,
-  "retail": 14910,
-  "retail</w>": 6455,
-  "retailer</w>": 22549,
-  "retailers</w>": 19418,
-  "retain</w>": 24430,
-  "retained</w>": 42737,
-  "retaining</w>": 35571,
-  "retains</w>": 42583,
-  "retali": 33101,
-  "retar": 29964,
-  "retarded</w>": 44111,
-  "retention</w>": 26247,
-  "rethink</w>": 29078,
-  "rethinking</w>": 42951,
-  "reti": 4721,
-  "retin": 31270,
-  "retina</w>": 36919,
-  "retire</w>": 18846,
-  "retired</w>": 11477,
-  "retirement</w>": 9205,
-  "retires</w>": 29060,
-  "retiring</w>": 21200,
-  "retrac": 32735,
-  "retreat</w>": 11210,
-  "retri": 16918,
-  "retriever</w>": 28394,
-  "retro": 6535,
-  "retro</w>": 7755,
-  "retrogamer</w>": 47220,
-  "retrogaming</w>": 11316,
-  "retrospective</w>": 27105,
-  "rett": 41082,
-  "rett</w>": 8425,
-  "rette</w>": 33066,
-  "return": 43042,
-  "return</w>": 3458,
-  "returned</w>": 10476,
-  "returning</w>": 9290,
-  "returns</w>": 5020,
-  "retwee": 48190,
-  "retweet</w>": 3195,
-  "retweeted</w>": 12705,
-  "retweeting</w>": 32345,
-  "retweets</w>": 10160,
-  "rety</w>": 41550,
-  "reu": 20255,
-  "reu</w>": 40371,
-  "reuben</w>": 40450,
-  "reunion</w>": 10247,
-  "reunite</w>": 26179,
-  "reunited</w>": 13516,
-  "reusable</w>": 30395,
-  "reuse</w>": 26535,
-  "reut": 15210,
-  "reuters</w>": 15569,
-  "rev": 8424,
-  "rev</w>": 11789,
-  "revamp</w>": 29819,
-  "revamped</w>": 36420,
-  "revan</w>": 45277,
-  "reve": 3115,
-  "reveal</w>": 8052,
-  "revealed</w>": 7171,
-  "revealing</w>": 21321,
-  "reveals</w>": 6621,
-  "revel": 14133,
-  "revelation</w>": 24053,
-  "revelations</w>": 36163,
-  "reven": 10171,
-  "revenge</w>": 12717,
-  "revenue</w>": 10637,
-  "revenues</w>": 33348,
-  "rever": 14829,
-  "rever</w>": 41913,
-  "revere</w>": 44187,
-  "reverend</w>": 34407,
-  "revers": 20726,
-  "reversal</w>": 33367,
-  "reverse</w>": 12812,
-  "reversed</w>": 42485,
-  "reversi": 31601,
-  "reversible</w>": 34212,
-  "revi": 8317,
-  "review</w>": 2268,
-  "reviewed</w>": 16678,
-  "reviewer</w>": 36409,
-  "reviewers</w>": 48195,
-  "reviewing</w>": 20458,
-  "reviews</w>": 7227,
-  "revise</w>": 46801,
-  "revised</w>": 22806,
-  "revising</w>": 46882,
-  "revision</w>": 20335,
-  "revisit</w>": 26568,
-  "revisited</w>": 34302,
-  "revisiting</w>": 33144,
-  "revit": 26367,
-  "revitalization</w>": 46923,
-  "revival</w>": 14142,
-  "revive</w>": 26450,
-  "revived</w>": 42912,
-  "revo": 28660,
-  "revol": 13447,
-  "revolt</w>": 31697,
-  "revolu": 4900,
-  "revolution": 17699,
-  "revolution</w>": 6644,
-  "revolutionary</w>": 14734,
-  "revolver</w>": 38747,
-  "revolving</w>": 47230,
-  "revs</w>": 49286,
-  "revue</w>": 43428,
-  "rew</w>": 37564,
-  "rewar": 15857,
-  "reward</w>": 11223,
-  "rewarded</w>": 27163,
-  "rewarding</w>": 23351,
-  "rewards</w>": 15235,
-  "rewatch</w>": 35610,
-  "rewatching</w>": 41287,
-  "rewind</w>": 26867,
-  "rewrite</w>": 45218,
-  "rex": 13002,
-  "rex</w>": 10904,
-  "rexperience</w>": 33924,
-  "rey": 9681,
-  "rey</w>": 4517,
-  "reyes</w>": 18255,
-  "reykja": 47571,
-  "reyn": 11998,
-  "reynolds</w>": 14309,
-  "reys</w>": 48284,
-  "rez": 27597,
-  "rez</w>": 15192,
-  "reza</w>": 35888,
-  "rf": 35529,
-  "rf</w>": 16368,
-  "rfc</w>": 19003,
-  "rfid</w>": 40204,
-  "rg": 33055,
-  "rg</w>": 14897,
-  "rgb</w>": 36128,
-  "rgv</w>": 33685,
-  "rh": 8745,
-  "rh</w>": 22404,
-  "rha": 19473,
-  "rhapso": 32532,
-  "rhapsody</w>": 35774,
-  "rhe": 9186,
-  "rhea</w>": 28612,
-  "rhetor": 24359,
-  "rhetoric</w>": 29985,
-  "rhett</w>": 42984,
-  "rheu": 42953,
-  "rhi": 21212,
-  "rhin": 12269,
-  "rhine": 22863,
-  "rhine</w>": 44833,
-  "rhinestone</w>": 30450,
-  "rhino": 41744,
-  "rhino</w>": 20056,
-  "rhinos</w>": 30671,
-  "rho": 7637,
-  "rhode": 39302,
-  "rhode</w>": 27907,
-  "rhodes</w>": 17785,
-  "rhon": 25882,
-  "rhonda</w>": 46100,
-  "rhp</w>": 27199,
-  "rhs</w>": 24551,
-  "rhu": 23897,
-  "rhubarb</w>": 30213,
-  "rhy": 7740,
-  "rhyme</w>": 37356,
-  "rhymes</w>": 33143,
-  "rhys</w>": 28647,
-  "rhyth": 27069,
-  "rhythm</w>": 16172,
-  "rhythmic</w>": 46386,
-  "rhythms</w>": 40872,
-  "ri": 553,
-  "ri</w>": 2574,
-  "ria</w>": 3650,
-  "rial</w>": 15200,
-  "rian</w>": 7788,
-  "rib": 44634,
-  "rib</w>": 18298,
-  "riba</w>": 44992,
-  "ribb": 10081,
-  "ribbon</w>": 12114,
-  "ribbons</w>": 35271,
-  "ribe": 46115,
-  "ribs</w>": 17519,
-  "ric": 920,
-  "ric</w>": 4798,
-  "rica</w>": 14230,
-  "rical</w>": 18109,
-  "rican</w>": 30958,
-  "ricardo</w>": 23140,
-  "ricci": 35783,
-  "ricciardo</w>": 49282,
-  "rice": 36362,
-  "rice</w>": 4741,
-  "rich": 5223,
-  "rich</w>": 4021,
-  "richar": 9350,
-  "richard": 9080,
-  "richard</w>": 4470,
-  "richards</w>": 11372,
-  "richardson</w>": 15984,
-  "riche": 23286,
-  "richer</w>": 34138,
-  "riches</w>": 37093,
-  "richest</w>": 25572,
-  "richi": 38934,
-  "richie</w>": 19797,
-  "richland</w>": 43079,
-  "richmond": 34143,
-  "richmond</w>": 11292,
-  "richter</w>": 37591,
-  "rick": 6237,
-  "rick</w>": 3064,
-  "ricket": 46161,
-  "ricket</w>": 23671,
-  "ricks</w>": 23111,
-  "ricky": 19188,
-  "ricky</w>": 12814,
-  "rico": 37962,
-  "rico</w>": 11362,
-  "ricotta</w>": 38473,
-  "rics</w>": 7353,
-  "ricul": 6980,
-  "rid": 18103,
-  "rid</w>": 9874,
-  "ridd": 21990,
-  "ridden</w>": 32025,
-  "riddle</w>": 31839,
-  "ride": 15816,
-  "ride</w>": 2994,
-  "rider": 31056,
-  "rider</w>": 9707,
-  "riders</w>": 10826,
-  "rides</w>": 11308,
-  "ridg": 42646,
-  "ridge": 16580,
-  "ridge</w>": 6352,
-  "ridic": 9624,
-  "ridiculous</w>": 12659,
-  "ridiculously</w>": 25661,
-  "ridin</w>": 47869,
-  "riding</w>": 6765,
-  "ridley</w>": 27883,
-  "rie": 14824,
-  "rie</w>": 5322,
-  "ried</w>": 7552,
-  "riel</w>": 26696,
-  "rien</w>": 35237,
-  "rier": 40714,
-  "rier</w>": 13336,
-  "ries": 28179,
-  "ries</w>": 3059,
-  "riesling</w>": 36372,
-  "rif": 7044,
-  "riff</w>": 30359,
-  "rifle</w>": 15354,
-  "rifles</w>": 25678,
-  "rift</w>": 26681,
-  "rig": 18462,
-  "rig</w>": 13871,
-  "riga</w>": 36626,
-  "rigged</w>": 35897,
-  "rigging</w>": 38160,
-  "riggs</w>": 40328,
-  "righ": 15391,
-  "right": 13341,
-  "right</w>": 1155,
-  "righte": 20762,
-  "righteous</w>": 28169,
-  "righteousness</w>": 42481,
-  "rightful</w>": 42601,
-  "rightly</w>": 42669,
-  "rights</w>": 3336,
-  "rigid</w>": 43138,
-  "rigor": 36788,
-  "rigorous</w>": 41654,
-  "rigs</w>": 42893,
-  "rihanna</w>": 13744,
-  "rij": 41097,
-  "rik": 31136,
-  "rik</w>": 27832,
-  "rika</w>": 28580,
-  "ril": 12270,
-  "ril</w>": 2388,
-  "riley": 35056,
-  "riley</w>": 12260,
-  "rill</w>": 23705,
-  "rilla": 43956,
-  "rilla</w>": 18685,
-  "rim": 28147,
-  "rim</w>": 12199,
-  "rime</w>": 27064,
-  "rimin": 11527,
-  "rimo</w>": 47817,
-  "rims</w>": 34327,
-  "rin": 5859,
-  "rin</w>": 11739,
-  "rina</w>": 12869,
-  "rine</w>": 24952,
-  "ring": 8318,
-  "ring</w>": 2540,
-  "ringed</w>": 44712,
-  "ringer</w>": 35761,
-  "ringing</w>": 26035,
-  "ringo</w>": 38845,
-  "rings</w>": 5751,
-  "rington</w>": 12455,
-  "rink</w>": 21497,
-  "rinka</w>": 47316,
-  "rino</w>": 47188,
-  "rinse</w>": 48320,
-  "rio": 15681,
-  "rio</w>": 5782,
-  "rion": 31623,
-  "rion</w>": 34046,
-  "rios</w>": 32814,
-  "riot": 32636,
-  "riot</w>": 14218,
-  "riots</w>": 24844,
-  "rious</w>": 6340,
-  "rip": 10353,
-  "rip</w>": 4243,
-  "ripe</w>": 22832,
-  "ripley</w>": 41589,
-  "ripp": 25276,
-  "ripped</w>": 17815,
-  "ripper</w>": 35347,
-  "ripping</w>": 29126,
-  "ripple</w>": 24825,
-  "rips</w>": 30182,
-  "rir</w>": 36792,
-  "ris": 6108,
-  "ris</w>": 1999,
-  "rise": 13641,
-  "rise</w>": 3151,
-  "risen</w>": 23653,
-  "risers</w>": 44983,
-  "rises</w>": 13362,
-  "riseup</w>": 35760,
-  "rish": 18378,
-  "rish</w>": 18927,
-  "rishi": 48434,
-  "rising": 30452,
-  "rising</w>": 5448,
-  "risis</w>": 37998,
-  "risk": 27967,
-  "risk</w>": 4213,
-  "risking</w>": 48155,
-  "risks</w>": 12474,
-  "risky</w>": 27630,
-  "risotto</w>": 31471,
-  "rist</w>": 40610,
-  "rit": 5156,
-  "rit</w>": 17333,
-  "rita</w>": 16178,
-  "ritchie</w>": 30997,
-  "rite": 39318,
-  "rite</w>": 18429,
-  "rites</w>": 36160,
-  "rith": 48169,
-  "rith</w>": 48850,
-  "riti": 32904,
-  "rito</w>": 19379,
-  "ritos</w>": 33507,
-  "ritt</w>": 26092,
-  "ritter</w>": 34854,
-  "ritu": 13391,
-  "ritual</w>": 19712,
-  "rituals</w>": 31145,
-  "ritz": 39151,
-  "ritz</w>": 25627,
-  "rium</w>": 33884,
-  "riv": 25113,
-  "rival": 13412,
-  "rival</w>": 15629,
-  "rivalry</w>": 19511,
-  "rivals</w>": 15135,
-  "rive": 27588,
-  "rive</w>": 34917,
-  "river": 5239,
-  "river</w>": 2473,
-  "rivera</w>": 18275,
-  "riverdale</w>": 28304,
-  "riverfront</w>": 44439,
-  "rivers</w>": 10723,
-  "riverside</w>": 15809,
-  "riveting</w>": 44024,
-  "riviera</w>": 25851,
-  "rix": 43407,
-  "rix</w>": 9483,
-  "riya</w>": 36908,
-  "riyad": 31564,
-  "riyadh</w>": 33577,
-  "riz": 18426,
-  "riz</w>": 35411,
-  "rizal</w>": 41555,
-  "rizio</w>": 40191,
-  "rizz": 34826,
-  "rizzo</w>": 49076,
-  "rj": 26016,
-  "rj</w>": 20949,
-  "rk": 38725,
-  "rk</w>": 21422,
-  "rl": 18041,
-  "rl</w>": 14590,
-  "rlly</w>": 43222,
-  "rly</w>": 25954,
-  "rm": 20202,
-  "rm</w>": 8431,
-  "rmb</w>": 49097,
-  "rms</w>": 40529,
-  "rn": 13206,
-  "rn</w>": 7666,
-  "rna</w>": 24566,
-  "rnb</w>": 31556,
-  "rnc</w>": 35309,
-  "rnli</w>": 29748,
-  "ro": 532,
-  "ro</w>": 2795,
-  "roa": 8313,
-  "roach</w>": 31073,
-  "road": 4370,
-  "road</w>": 1759,
-  "roadhouse</w>": 47891,
-  "roadmap</w>": 30111,
-  "roads</w>": 6189,
-  "roadsafety</w>": 39992,
-  "roadshow</w>": 21168,
-  "roadside</w>": 26928,
-  "roadster</w>": 28920,
-  "roadto": 24681,
-  "roadtrip</w>": 15094,
-  "roadway</w>": 42744,
-  "roam</w>": 34045,
-  "roaming</w>": 29240,
-  "roano": 34184,
-  "roanoke</w>": 36587,
-  "roar": 34193,
-  "roar</w>": 18483,
-  "roaring</w>": 26428,
-  "roast</w>": 11404,
-  "roasted</w>": 10479,
-  "roasting</w>": 32228,
-  "rob": 2668,
-  "rob</w>": 6442,
-  "robb": 14059,
-  "robb</w>": 39673,
-  "robbed</w>": 24163,
-  "robber</w>": 35545,
-  "robbers</w>": 40852,
-  "robbery</w>": 16393,
-  "robbi": 44898,
-  "robbie": 37200,
-  "robbie</w>": 15970,
-  "robbing</w>": 47569,
-  "robbins</w>": 23461,
-  "robby</w>": 44128,
-  "robe</w>": 23116,
-  "rober": 4532,
-  "robert": 8811,
-  "robert</w>": 3929,
-  "roberta</w>": 43373,
-  "roberto": 42645,
-  "roberto</w>": 16227,
-  "roberts</w>": 10366,
-  "robertson</w>": 17643,
-  "robes</w>": 29304,
-  "robi</w>": 16743,
-  "robin": 6681,
-  "robin</w>": 7988,
-  "robins</w>": 35502,
-  "robinson</w>": 8523,
-  "robles</w>": 47646,
-  "roblo": 27481,
-  "roblox</w>": 37798,
-  "robo": 4672,
-  "robo</w>": 36057,
-  "robot": 46089,
-  "robot</w>": 8797,
-  "robotic</w>": 23975,
-  "robotics</w>": 13546,
-  "robots</w>": 13473,
-  "robson</w>": 31113,
-  "robust</w>": 22780,
-  "robyn</w>": 34533,
-  "roc": 3268,
-  "roc</w>": 13776,
-  "rocco</w>": 30009,
-  "roch": 23788,
-  "rochdale</w>": 41880,
-  "roche</w>": 31776,
-  "rochelle</w>": 40161,
-  "rochester</w>": 18057,
-  "rock": 2640,
-  "rock</w>": 2172,
-  "rockab": 39353,
-  "rockabilly</w>": 45019,
-  "rocke": 19914,
-  "rocked</w>": 16116,
-  "rockefeller</w>": 35476,
-  "rocker</w>": 29008,
-  "rockers</w>": 32338,
-  "rocket": 25435,
-  "rocket</w>": 8383,
-  "rockets</w>": 13292,
-  "rockford</w>": 41039,
-  "rockies</w>": 20621,
-  "rockin</w>": 12073,
-  "rocking</w>": 7081,
-  "rockn": 24442,
-  "rocknroll</w>": 27840,
-  "rocks</w>": 6135,
-  "rockstar": 23603,
-  "rockstar</w>": 18000,
-  "rockstargames</w>": 27516,
-  "rockstars</w>": 46639,
-  "rockthe": 49363,
-  "rockwell</w>": 34747,
-  "rocky": 33481,
-  "rocky</w>": 9648,
-  "rod": 9712,
-  "rod</w>": 8291,
-  "roddy</w>": 42332,
-  "rode</w>": 18449,
-  "rodeo</w>": 18250,
-  "rodgers</w>": 17612,
-  "rodi": 49100,
-  "rodney</w>": 21753,
-  "rodri": 11053,
-  "rodrigo</w>": 33944,
-  "rodriguez</w>": 14057,
-  "rods</w>": 28618,
-  "roe": 27671,
-  "roe</w>": 9996,
-  "rof": 33029,
-  "rofl</w>": 48228,
-  "roft</w>": 45212,
-  "rog": 34269,
-  "rog</w>": 34017,
-  "rogen</w>": 23380,
-  "roger": 13929,
-  "roger</w>": 7735,
-  "rogerfederer</w>": 40182,
-  "rogers</w>": 10661,
-  "rogue": 32575,
-  "rogue</w>": 15162,
-  "roh": 14933,
-  "roh</w>": 29840,
-  "rohan</w>": 39848,
-  "rohing": 23600,
-  "rohingya</w>": 26146,
-  "rohit": 44649,
-  "rohit</w>": 24299,
-  "roi</w>": 21877,
-  "rok</w>": 36807,
-  "rol": 3393,
-  "rol</w>": 7818,
-  "roland": 33713,
-  "roland</w>": 19569,
-  "role": 18485,
-  "role</w>": 3414,
-  "roles</w>": 11871,
-  "rolex</w>": 21093,
-  "rolf</w>": 48606,
-  "roll": 4711,
-  "roll</w>": 3341,
-  "rolled</w>": 11982,
-  "roller": 21034,
-  "roller</w>": 12342,
-  "rollercoaster</w>": 38248,
-  "rollers</w>": 36941,
-  "rollin</w>": 27545,
-  "rolling": 24250,
-  "rolling</w>": 6347,
-  "rollingstones</w>": 41309,
-  "rollins</w>": 27724,
-  "rollout</w>": 47710,
-  "rollover</w>": 39214,
-  "rolls</w>": 8614,
-  "rolltide</w>": 28101,
-  "rom": 11377,
-  "rom</w>": 19205,
-  "roma": 44134,
-  "roma</w>": 11631,
-  "romain</w>": 48897,
-  "roman": 4416,
-  "roman</w>": 7370,
-  "romance</w>": 7215,
-  "romania</w>": 15884,
-  "romanian</w>": 30866,
-  "romano</w>": 38409,
-  "romans</w>": 23066,
-  "romantic": 41457,
-  "romantic</w>": 8821,
-  "rome": 9406,
-  "rome</w>": 5243,
-  "romeo</w>": 14429,
-  "romero</w>": 23694,
-  "romney</w>": 19287,
-  "romo</w>": 32248,
-  "romper</w>": 43699,
-  "ron": 2393,
-  "ron</w>": 3372,
-  "rona</w>": 42385,
-  "ronal": 46194,
-  "ronald</w>": 15683,
-  "ronaldo</w>": 13463,
-  "ronan</w>": 34971,
-  "rond": 31935,
-  "ronda</w>": 37436,
-  "rondo</w>": 43756,
-  "rone": 48082,
-  "rone</w>": 32763,
-  "roni</w>": 47234,
-  "ronnie": 45257,
-  "ronnie</w>": 16421,
-  "rons</w>": 19536,
-  "ront</w>": 48881,
-  "roo": 1249,
-  "roo</w>": 31227,
-  "rood</w>": 38007,
-  "roof": 9120,
-  "roof</w>": 6449,
-  "roofing</w>": 24415,
-  "roofs</w>": 34635,
-  "rooftop</w>": 16319,
-  "rook</w>": 35918,
-  "rookie</w>": 9771,
-  "rookies</w>": 31917,
-  "room": 8845,
-  "room</w>": 1530,
-  "roomie</w>": 36851,
-  "roommate</w>": 19825,
-  "roommates</w>": 37323,
-  "rooms</w>": 6328,
-  "rooney</w>": 17712,
-  "roos</w>": 32938,
-  "roosevel": 17644,
-  "roosevelt</w>": 18488,
-  "rooster": 46263,
-  "rooster</w>": 30926,
-  "roosters</w>": 43693,
-  "root": 25930,
-  "root</w>": 9728,
-  "rooted</w>": 30428,
-  "rooting</w>": 25523,
-  "roots</w>": 8084,
-  "rop</w>": 43401,
-  "rope</w>": 9953,
-  "ropes</w>": 30506,
-  "ror": 8668,
-  "ror</w>": 2843,
-  "rors</w>": 12072,
-  "rory": 42804,
-  "rory</w>": 17813,
-  "ros": 5288,
-  "ros</w>": 6930,
-  "rosa</w>": 14393,
-  "rosal": 30397,
-  "rosario</w>": 33640,
-  "rosary</w>": 33098,
-  "rosberg</w>": 46037,
-  "rose": 6146,
-  "rose</w>": 3568,
-  "roseanne</w>": 47528,
-  "rosel": 33616,
-  "rosemary</w>": 19472,
-  "rosen": 13214,
-  "rosen</w>": 36424,
-  "rosenberg</w>": 43558,
-  "rosenthal</w>": 46990,
-  "roses</w>": 9061,
-  "rosetta</w>": 43800,
-  "rosewood</w>": 38686,
-  "rosie": 43049,
-  "rosie</w>": 16888,
-  "ross": 8801,
-  "ross</w>": 2158,
-  "rosse</w>": 11602,
-  "rossi</w>": 24817,
-  "rosso</w>": 33023,
-  "roster</w>": 12487,
-  "roswell</w>": 45116,
-  "rosy</w>": 46705,
-  "rosé</w>": 28006,
-  "rot": 10055,
-  "rot</w>": 9643,
-  "rotar": 45959,
-  "rotary</w>": 14654,
-  "rotating</w>": 32265,
-  "rotation</w>": 18089,
-  "rotc</w>": 32252,
-  "roth": 17741,
-  "roth</w>": 19139,
-  "rother": 23174,
-  "rotherham</w>": 37687,
-  "rothschild</w>": 45089,
-  "roti</w>": 46940,
-  "roto": 34698,
-  "rotor</w>": 42991,
-  "rots</w>": 16642,
-  "rott": 34806,
-  "rotten</w>": 24324,
-  "rotter": 22614,
-  "rotterdam</w>": 23422,
-  "rotun": 42970,
-  "rou": 2964,
-  "rou</w>": 34783,
-  "roud</w>": 28375,
-  "rouge</w>": 16209,
-  "rough": 11699,
-  "rough</w>": 8511,
-  "roughly</w>": 21910,
-  "roughs</w>": 37598,
-  "rouhani</w>": 39912,
-  "roulette</w>": 39930,
-  "roun": 5602,
-  "round": 9403,
-  "round</w>": 2522,
-  "roundabout</w>": 29953,
-  "rounded</w>": 26973,
-  "rounder</w>": 37024,
-  "rounding</w>": 40208,
-  "rounds</w>": 11242,
-  "roundtable</w>": 19386,
-  "roundup</w>": 17503,
-  "roup</w>": 29220,
-  "rourke</w>": 38753,
-  "rous": 33645,
-  "rous</w>": 34531,
-  "rousey</w>": 46267,
-  "rout": 7502,
-  "rout</w>": 41778,
-  "route</w>": 5261,
-  "router</w>": 29962,
-  "routes</w>": 14923,
-  "routine</w>": 12319,
-  "routines</w>": 44074,
-  "routing</w>": 44086,
-  "roux</w>": 43416,
-  "rov</w>": 23971,
-  "rove</w>": 30130,
-  "rover</w>": 12776,
-  "rovers</w>": 16373,
-  "row": 5275,
-  "row</w>": 1044,
-  "rowan</w>": 26240,
-  "rowdy</w>": 32141,
-  "rowe</w>": 28323,
-  "rowed</w>": 22615,
-  "rower</w>": 43345,
-  "rowers</w>": 41806,
-  "rowing</w>": 12807,
-  "rowland</w>": 33037,
-  "rowley</w>": 48793,
-  "rowling</w>": 29371,
-  "rown": 22287,
-  "rown</w>": 25060,
-  "rows</w>": 9409,
-  "rox": 14111,
-  "rox</w>": 41033,
-  "roxy</w>": 28093,
-  "roy": 2128,
-  "roy</w>": 6354,
-  "royal": 6691,
-  "royal</w>": 3853,
-  "royale</w>": 20630,
-  "royalnavy</w>": 41545,
-  "royals</w>": 13335,
-  "royalties</w>": 48660,
-  "royalty</w>": 18296,
-  "royalwedding</w>": 27461,
-  "royce</w>": 18444,
-  "royd</w>": 41476,
-  "royo</w>": 39357,
-  "roz": 28989,
-  "roz</w>": 37250,
-  "rp": 17305,
-  "rp</w>": 8174,
-  "rpa</w>": 41872,
-  "rpg</w>": 12445,
-  "rpm</w>": 23715,
-  "rps</w>": 49215,
-  "rr": 5311,
-  "rr</w>": 9126,
-  "rrp</w>": 36967,
-  "rrr</w>": 18267,
-  "rrrr": 25561,
-  "rrrr</w>": 34444,
-  "rs": 6978,
-  "rs</w>": 1724,
-  "rsa</w>": 29437,
-  "rsc</w>": 48524,
-  "rsd</w>": 34426,
-  "rsi</w>": 39046,
-  "rsl</w>": 44752,
-  "rsp": 16381,
-  "rspb": 38508,
-  "rspb</w>": 36727,
-  "rspca</w>": 45643,
-  "rss": 46466,
-  "rss</w>": 22350,
-  "rstats</w>": 38700,
-  "rsvp</w>": 9774,
-  "rt": 8959,
-  "rt</w>": 8991,
-  "rtc</w>": 31648,
-  "rte": 33822,
-  "rte</w>": 23322,
-  "rtg</w>": 22028,
-  "rti</w>": 47549,
-  "rtr</w>": 43999,
-  "rts</w>": 8496,
-  "rtw</w>": 34673,
-  "ru": 681,
-  "ru</w>": 13735,
-  "rub": 15862,
-  "rub</w>": 22586,
-  "rubb": 19597,
-  "rubbed</w>": 45239,
-  "rubber": 31131,
-  "rubber</w>": 11331,
-  "rubbing</w>": 41262,
-  "rubbish</w>": 21108,
-  "rubble</w>": 42230,
-  "ruben": 44058,
-  "ruben</w>": 29722,
-  "rubi": 27856,
-  "rubin</w>": 34128,
-  "rubio</w>": 24244,
-  "rubs</w>": 43422,
-  "ruby": 24552,
-  "ruby</w>": 11493,
-  "ruck": 27449,
-  "rucker</w>": 45402,
-  "rud": 35256,
-  "rudd</w>": 31836,
-  "rude</w>": 16548,
-  "rudi": 48360,
-  "rudol": 40927,
-  "rudolf</w>": 46835,
-  "rudolph</w>": 30119,
-  "rudy": 38226,
-  "rudy</w>": 22131,
-  "rue": 38024,
-  "rue</w>": 19276,
-  "rufc</w>": 45084,
-  "ruff": 28177,
-  "ruff</w>": 30304,
-  "rufus</w>": 39322,
-  "rug": 4217,
-  "rug</w>": 19220,
-  "rugby": 15091,
-  "rugby</w>": 4964,
-  "rugbyleague</w>": 44419,
-  "ruger</w>": 48655,
-  "rugged</w>": 25225,
-  "rugs</w>": 29946,
-  "rui</w>": 46974,
-  "ruin</w>": 16256,
-  "ruined</w>": 17231,
-  "ruining</w>": 29952,
-  "ruins</w>": 16094,
-  "ruiz</w>": 27873,
-  "ruk</w>": 46628,
-  "rukh": 43075,
-  "rukh</w>": 27631,
-  "rule": 31643,
-  "rule</w>": 6175,
-  "ruled</w>": 16324,
-  "ruler</w>": 26286,
-  "rulers</w>": 45328,
-  "rules</w>": 5272,
-  "ruling</w>": 14690,
-  "rum": 9223,
-  "rum</w>": 11233,
-  "rumb": 42432,
-  "rumble</w>": 18900,
-  "rumi</w>": 31428,
-  "rumor</w>": 22254,
-  "rumored</w>": 36694,
-  "rumors</w>": 16160,
-  "rumour</w>": 34296,
-  "rumours</w>": 20716,
-  "rump</w>": 29366,
-  "run": 1639,
-  "run</w>": 1934,
-  "runaway</w>": 28851,
-  "runchat</w>": 25838,
-  "rundown</w>": 41100,
-  "rune": 33882,
-  "rune</w>": 49244,
-  "runner": 37370,
-  "runner</w>": 7913,
-  "runners</w>": 10571,
-  "runnin</w>": 43130,
-  "running": 24451,
-  "running</w>": 2761,
-  "runoff</w>": 38564,
-  "runs</w>": 5586,
-  "runway</w>": 13927,
-  "rup": 7996,
-  "rup</w>": 14980,
-  "rupaul</w>": 44211,
-  "rupee</w>": 43916,
-  "rupees</w>": 44110,
-  "rupert</w>": 25625,
-  "rupt</w>": 23055,
-  "ruption</w>": 35403,
-  "rural": 28801,
-  "rural</w>": 8737,
-  "rus": 35811,
-  "rus</w>": 5998,
-  "rush": 12148,
-  "rush</w>": 6973,
-  "rushed</w>": 28104,
-  "rusher</w>": 48745,
-  "rushes</w>": 47217,
-  "rushing</w>": 20284,
-  "russ": 6285,
-  "russ</w>": 20764,
-  "russell": 26122,
-  "russell</w>": 8150,
-  "russi": 2600,
-  "russia</w>": 4018,
-  "russian": 30731,
-  "russian</w>": 4868,
-  "russians</w>": 25413,
-  "russo</w>": 30679,
-  "rust": 28682,
-  "rust</w>": 14212,
-  "rustic</w>": 19822,
-  "rusty": 43966,
-  "rusty</w>": 22646,
-  "rut": 14973,
-  "rut</w>": 39102,
-  "rutger": 49029,
-  "rutgers</w>": 28934,
-  "ruth": 15798,
-  "ruth</w>": 12029,
-  "ruther": 26676,
-  "rutherford</w>": 31070,
-  "ruthless</w>": 36063,
-  "rutland</w>": 46024,
-  "ruto</w>": 43702,
-  "ruz</w>": 23275,
-  "rv": 17135,
-  "rv</w>": 17951,
-  "rva</w>": 24278,
-  "rw": 9085,
-  "rw</w>": 22926,
-  "rwa</w>": 47452,
-  "rwand": 31758,
-  "rwanda</w>": 15427,
-  "rwby</w>": 39698,
-  "rwc</w>": 32321,
-  "rx": 41188,
-  "rx</w>": 15945,
-  "ry": 1511,
-  "ry</w>": 913,
-  "ryan": 8682,
-  "ryan</w>": 4053,
-  "ryanair</w>": 43526,
-  "ryder": 43564,
-  "ryder</w>": 21805,
-  "rye": 24015,
-  "rye</w>": 17409,
-  "rying</w>": 7838,
-  "ryn</w>": 37728,
-  "ryo": 24460,
-  "rys</w>": 21654,
-  "ryu": 46656,
-  "ryu</w>": 34604,
-  "ré": 29106,
-  "s": 82,
-  "s</w>": 338,
-  "sa": 774,
-  "sa</w>": 1344,
-  "saa</w>": 13429,
-  "saab</w>": 27158,
-  "saad</w>": 36530,
-  "saas</w>": 25761,
-  "saat": 33151,
-  "sab": 3233,
-  "sab</w>": 23213,
-  "saba</w>": 38344,
-  "sabah</w>": 32854,
-  "saban</w>": 41620,
-  "sabar": 47102,
-  "sabbath</w>": 26008,
-  "sabc</w>": 30010,
-  "sabcnews</w>": 41093,
-  "saber": 46822,
-  "saber</w>": 25624,
-  "sabha</w>": 23431,
-  "sabi</w>": 47073,
-  "sabine</w>": 44062,
-  "sable</w>": 19224,
-  "sabot": 30700,
-  "sabotage</w>": 40496,
-  "sabre</w>": 35110,
-  "sabres</w>": 29620,
-  "sabrin": 37029,
-  "sabrina</w>": 24994,
-  "sac": 3632,
-  "sac</w>": 12905,
-  "sach": 30168,
-  "sacha</w>": 49010,
-  "sachin": 47527,
-  "sachin</w>": 30297,
-  "sachs</w>": 31451,
-  "sack": 28964,
-  "sack</w>": 14979,
-  "sacked</w>": 27519,
-  "sacks</w>": 26441,
-  "sacram": 13334,
-  "sacramento</w>": 16065,
-  "sacred": 40612,
-  "sacred</w>": 12477,
-  "sacri": 15283,
-  "sacrif": 12117,
-  "sacrific": 16919,
-  "sacrifice</w>": 12556,
-  "sacrificed</w>": 31116,
-  "sacrifices</w>": 28858,
-  "sacrificing</w>": 48146,
-  "sad": 2810,
-  "sad</w>": 3719,
-  "saddened</w>": 27720,
-  "saddest</w>": 34925,
-  "saddle": 30469,
-  "saddle</w>": 20283,
-  "sade</w>": 27429,
-  "sadh": 40955,
-  "sadi": 22207,
-  "sadie</w>": 30333,
-  "sadiq</w>": 44107,
-  "sadler</w>": 45600,
-  "sadly</w>": 11603,
-  "sadness</w>": 20399,
-  "sae": 38633,
-  "sae</w>": 34883,
-  "saeed</w>": 29745,
-  "saf": 2125,
-  "saf</w>": 25760,
-  "safar": 23443,
-  "safari</w>": 14091,
-  "safarilive</w>": 34816,
-  "safc</w>": 27998,
-  "safe": 2901,
-  "safe</w>": 2996,
-  "safeguard</w>": 42249,
-  "safeguarding</w>": 47451,
-  "safely</w>": 11513,
-  "safer": 40124,
-  "safer</w>": 15504,
-  "safest</w>": 38973,
-  "safety": 19050,
-  "safety</w>": 3406,
-  "safetyfirst</w>": 43608,
-  "saffron</w>": 27529,
-  "sag": 6609,
-  "sag</w>": 30048,
-  "saga</w>": 15758,
-  "sagan</w>": 37193,
-  "sagar</w>": 42518,
-  "sage": 25800,
-  "sage</w>": 7509,
-  "sages</w>": 25979,
-  "sagin": 47097,
-  "sagitt": 44685,
-  "sagu": 44708,
-  "sah": 30943,
-  "sah</w>": 26342,
-  "saha": 36062,
-  "sahara</w>": 24599,
-  "saharan</w>": 44255,
-  "sahi": 24608,
-  "sahib</w>": 34150,
-  "sai": 16048,
-  "sai</w>": 10886,
-  "said": 40319,
-  "said</w>": 1946,
-  "saif</w>": 44164,
-  "saig": 36328,
-  "saigon</w>": 41081,
-  "sail": 7528,
-  "sail</w>": 12156,
-  "sailed</w>": 43047,
-  "sailing</w>": 11003,
-  "sailor": 28002,
-  "sailor</w>": 16076,
-  "sailormoon</w>": 40673,
-  "sailors</w>": 25355,
-  "sails</w>": 27526,
-  "sain": 21226,
-  "sain</w>": 40378,
-  "sains": 24860,
-  "sainsbury</w>": 45879,
-  "sainsburys</w>": 36934,
-  "saint": 11274,
-  "saint</w>": 5599,
-  "saints</w>": 8769,
-  "saintsfc</w>": 31102,
-  "sair": 46600,
-  "sair</w>": 30971,
-  "saire</w>": 28087,
-  "saison</w>": 33256,
-  "sait": 48008,
-  "saj": 33580,
-  "sak": 11511,
-  "sak</w>": 35900,
-  "saka</w>": 33609,
-  "sake</w>": 12874,
-  "sakh</w>": 43945,
-  "saki</w>": 40514,
-  "saku": 37550,
-  "sakura</w>": 24162,
-  "sal": 980,
-  "sal</w>": 6126,
-  "sala</w>": 17300,
-  "salaam</w>": 46773,
-  "salad</w>": 6188,
-  "salads</w>": 30948,
-  "salah</w>": 22516,
-  "salam": 19007,
-  "salam</w>": 33963,
-  "salamat</w>": 44696,
-  "salami</w>": 46885,
-  "salaries</w>": 33132,
-  "salary</w>": 16312,
-  "salazar</w>": 45988,
-  "sale": 17786,
-  "sale</w>": 1690,
-  "saleh</w>": 38353,
-  "salem": 48194,
-  "salem</w>": 16884,
-  "sales": 13347,
-  "sales</w>": 3765,
-  "salesforce</w>": 22680,
-  "salesman</w>": 37633,
-  "salford</w>": 25629,
-  "sali": 15411,
-  "salim</w>": 42760,
-  "salinas</w>": 41990,
-  "saline</w>": 46918,
-  "salis": 20667,
-  "salis</w>": 39378,
-  "salisbury</w>": 24763,
-  "sall": 27122,
-  "sall</w>": 20883,
-  "salle</w>": 23738,
-  "sally": 29542,
-  "sally</w>": 13349,
-  "salman": 13754,
-  "salman</w>": 16219,
-  "salmankhan</w>": 15177,
-  "salmon": 37040,
-  "salmon</w>": 9137,
-  "salom": 38268,
-  "salon": 33916,
-  "salon</w>": 11105,
-  "saloon</w>": 26038,
-  "sals</w>": 16307,
-  "salsa</w>": 16442,
-  "salt": 12763,
-  "salt</w>": 6611,
-  "salted</w>": 26313,
-  "saltlife</w>": 47809,
-  "salts</w>": 40559,
-  "saltwater</w>": 43616,
-  "salty</w>": 20678,
-  "salu": 31711,
-  "salud</w>": 46867,
-  "salut": 44998,
-  "salute": 44908,
-  "salute</w>": 9747,
-  "salutes</w>": 32762,
-  "salv": 8299,
-  "salvador</w>": 20874,
-  "salvage</w>": 33131,
-  "salvation</w>": 19534,
-  "salvatore</w>": 38772,
-  "salz": 33594,
-  "salzburg</w>": 43396,
-  "sam": 1644,
-  "sam</w>": 3730,
-  "sama</w>": 19272,
-  "samanth": 11465,
-  "samantha</w>": 15466,
-  "samanthap": 38266,
-  "samanthaprabhu</w>": 38643,
-  "samar": 21820,
-  "samaritan</w>": 45495,
-  "samba</w>": 37190,
-  "same": 23062,
-  "same</w>": 2208,
-  "samheughan</w>": 36255,
-  "sami": 48400,
-  "sami</w>": 24322,
-  "sammy": 31091,
-  "sammy</w>": 16758,
-  "samo": 30006,
-  "samoa</w>": 34932,
-  "samp": 31225,
-  "sample</w>": 9542,
-  "sampler</w>": 40629,
-  "samples</w>": 13387,
-  "sampling</w>": 19522,
-  "sampson</w>": 39983,
-  "sams</w>": 44667,
-  "samson</w>": 34659,
-  "samsun": 47875,
-  "samsung": 35369,
-  "samsung</w>": 8115,
-  "samu": 7646,
-  "samuel": 30612,
-  "samuel</w>": 12787,
-  "samurai</w>": 21739,
-  "san": 1489,
-  "san</w>": 2223,
-  "sana</w>": 19434,
-  "sanantonio</w>": 34714,
-  "sanat": 29091,
-  "sanatomy</w>": 36052,
-  "sanc": 7398,
-  "sance</w>": 15930,
-  "sanchez</w>": 13971,
-  "sanctioned</w>": 43032,
-  "sanctions</w>": 17790,
-  "sanctu": 12712,
-  "sanctuary</w>": 14044,
-  "sand": 2147,
-  "sand</w>": 5094,
-  "sandal": 36445,
-  "sandal</w>": 42185,
-  "sandals</w>": 20731,
-  "sandalwood</w>": 47502,
-  "sandeep</w>": 46973,
-  "sander</w>": 34111,
-  "sanders</w>": 10429,
-  "sanderson</w>": 36198,
-  "sandi": 44249,
-  "sandiego": 45997,
-  "sandiego</w>": 15793,
-  "sandman</w>": 45730,
-  "sando": 35921,
-  "sandoval</w>": 44157,
-  "sandra": 33733,
-  "sandra</w>": 13415,
-  "sandro</w>": 42389,
-  "sands</w>": 5936,
-  "sandstone</w>": 36796,
-  "sandwich": 17050,
-  "sandwich</w>": 8687,
-  "sandwiches</w>": 19667,
-  "sandy": 29679,
-  "sandy</w>": 10355,
-  "sane</w>": 23419,
-  "sanford</w>": 32330,
-  "sanfrancisco</w>": 20254,
-  "sang": 13235,
-  "sang</w>": 11684,
-  "sange": 12466,
-  "sangria</w>": 42665,
-  "sani": 39137,
-  "sani</w>": 34492,
-  "sanitary</w>": 33842,
-  "sanitation</w>": 25414,
-  "saniti": 43987,
-  "sanity</w>": 30517,
-  "sanjay": 31712,
-  "sanjay</w>": 25796,
-  "sanje": 40405,
-  "sanjose</w>": 45971,
-  "sank</w>": 43692,
-  "sano</w>": 34053,
-  "sans</w>": 16982,
-  "sansk": 39689,
-  "sanskrit</w>": 48083,
-  "sant": 8356,
-  "sant</w>": 23120,
-  "santa": 22175,
-  "santa</w>": 4555,
-  "santac": 28876,
-  "santam": 45627,
-  "santana</w>": 27033,
-  "santander</w>": 46476,
-  "santi": 13856,
-  "santiago</w>": 16568,
-  "santo": 29631,
-  "santo</w>": 18400,
-  "santor": 28448,
-  "santorini</w>": 39573,
-  "santos</w>": 16582,
-  "sany": 47679,
-  "sao</w>": 28026,
-  "sap": 8089,
-  "sap</w>": 11591,
-  "sapi": 40016,
-  "sapp": 13427,
-  "sapp</w>": 40729,
-  "sapphire</w>": 22044,
-  "sar": 1808,
-  "sar</w>": 9424,
-  "sara": 37196,
-  "sara</w>": 10063,
-  "sarab": 40716,
-  "sarac": 35722,
-  "sarah": 9086,
-  "sarah</w>": 5327,
-  "saraj": 42592,
-  "sarajevo</w>": 48211,
-  "saras": 20373,
-  "sarasota</w>": 31990,
-  "sarato": 24845,
-  "saratoga</w>": 29496,
-  "sarawak</w>": 47331,
-  "sarcasm</w>": 37246,
-  "sarcastic</w>": 48639,
-  "sardar</w>": 41786,
-  "sarde": 43925,
-  "sardin": 27383,
-  "sardinia</w>": 41025,
-  "sare": 13051,
-  "saree</w>": 30860,
-  "sargent</w>": 34864,
-  "sari": 42327,
-  "sari</w>": 20261,
-  "saries</w>": 47586,
-  "sarkar</w>": 30673,
-  "sarko": 33658,
-  "sarkodie</w>": 42848,
-  "sarmy</w>": 20954,
-  "sart</w>": 33006,
-  "sary</w>": 15398,
-  "sas": 3960,
-  "sas</w>": 5235,
-  "sash</w>": 35656,
-  "sasha": 46078,
-  "sasha</w>": 20894,
-  "sasia</w>": 44751,
-  "sask": 47091,
-  "sask</w>": 30416,
-  "saskat": 17102,
-  "saskatchewan</w>": 23899,
-  "saskatoon</w>": 31128,
-  "sass</w>": 31351,
-  "sassy</w>": 20827,
-  "sat": 1382,
-  "sat</w>": 3279,
-  "sata</w>": 41520,
-  "satan</w>": 19446,
-  "satanic</w>": 38224,
-  "satchel</w>": 45908,
-  "sate</w>": 35749,
-  "satell": 9031,
-  "satellite</w>": 10316,
-  "satellites</w>": 28483,
-  "sath": 29675,
-  "sathletics</w>": 30154,
-  "sati": 7038,
-  "satin</w>": 21803,
-  "sation</w>": 23674,
-  "sations</w>": 31232,
-  "satire</w>": 29875,
-  "satis": 9906,
-  "satisf": 22941,
-  "satisfaction</w>": 19925,
-  "satisfied</w>": 18101,
-  "satisfy</w>": 29444,
-  "satisfying</w>": 23755,
-  "sato</w>": 34376,
-  "satu</w>": 45283,
-  "satur": 1634,
-  "saturated</w>": 32466,
-  "saturday": 12537,
-  "saturday</w>": 1748,
-  "saturdaymorning</w>": 29053,
-  "saturdaymotivation</w>": 40843,
-  "saturdays</w>": 18930,
-  "saturn</w>": 17312,
-  "saty": 39426,
-  "sau": 2096,
-  "sau</w>": 19455,
-  "sauce</w>": 5520,
-  "saucer</w>": 42272,
-  "sauces</w>": 40367,
-  "saucy</w>": 46684,
-  "saudi": 24511,
-  "saudi</w>": 8548,
-  "saudiarabia</w>": 28680,
-  "sauer": 46333,
-  "saul": 47623,
-  "saul</w>": 23252,
-  "sault</w>": 40361,
-  "sauna</w>": 35460,
-  "saunders</w>": 23794,
-  "saur</w>": 13227,
-  "saura": 46532,
-  "saurus</w>": 22118,
-  "saus</w>": 36121,
-  "sausage</w>": 11855,
-  "sausages</w>": 31593,
-  "sauté": 36290,
-  "sautéed</w>": 38517,
-  "sauvi": 30116,
-  "sauvignon</w>": 32745,
-  "sav": 2248,
-  "sav</w>": 26533,
-  "sava</w>": 40198,
-  "savag": 43039,
-  "savage</w>": 11859,
-  "savannah</w>": 18662,
-  "save": 5895,
-  "save</w>": 2673,
-  "saved</w>": 7137,
-  "saveour": 33390,
-  "saver</w>": 20987,
-  "savers</w>": 31416,
-  "saves</w>": 12907,
-  "savethe": 18031,
-  "savi": 14721,
-  "saving": 28498,
-  "saving</w>": 6979,
-  "savings</w>": 10651,
-  "savior</w>": 24762,
-  "saviour</w>": 35800,
-  "savor</w>": 48071,
-  "savory</w>": 32992,
-  "savoury</w>": 49071,
-  "savoy</w>": 39552,
-  "savvy</w>": 29278,
-  "saw": 12429,
-  "saw</w>": 2425,
-  "sawa</w>": 39613,
-  "sawards</w>": 29012,
-  "sawyer</w>": 27726,
-  "sax": 14169,
-  "sax</w>": 23766,
-  "saxon</w>": 31856,
-  "saxophon": 43760,
-  "saxophone</w>": 32296,
-  "say": 3047,
-  "say</w>": 1451,
-  "saya</w>": 35170,
-  "sayang</w>": 46322,
-  "sayers</w>": 44116,
-  "sayin</w>": 23662,
-  "saying</w>": 4455,
-  "says</w>": 1563,
-  "saz</w>": 35577,
-  "sb": 5576,
-  "sb</w>": 4977,
-  "sba</w>": 44970,
-  "sback</w>": 43840,
-  "sband</w>": 27539,
-  "sbaseball</w>": 46491,
-  "sbball</w>": 39190,
-  "sbc</w>": 31404,
-  "sberg</w>": 20358,
-  "sbi</w>": 41369,
-  "sbk</w>": 39211,
-  "sboro</w>": 18909,
-  "sbridge</w>": 49228,
-  "sbs</w>": 18883,
-  "sbu": 48075,
-  "sbu</w>": 46281,
-  "sburg</w>": 7390,
-  "sburgh</w>": 48205,
-  "sbury</w>": 14081,
-  "sby": 26519,
-  "sby</w>": 10287,
-  "sc": 663,
-  "sc</w>": 3219,
-  "sca</w>": 11001,
-  "scab": 31716,
-  "scaf": 28981,
-  "scafe</w>": 45574,
-  "scaffolding</w>": 41687,
-  "scal": 10859,
-  "scala</w>": 37997,
-  "scalable</w>": 44084,
-  "scale": 37817,
-  "scale</w>": 5879,
-  "scaled</w>": 41923,
-  "scales</w>": 22891,
-  "scaling</w>": 29116,
-  "scallo": 19936,
-  "scallop</w>": 39544,
-  "scallops</w>": 31430,
-  "scalp</w>": 38898,
-  "scam": 17620,
-  "scam</w>": 13215,
-  "scamp</w>": 28451,
-  "scams</w>": 34395,
-  "scan": 10650,
-  "scan</w>": 11261,
-  "scanada</w>": 27121,
-  "scand": 8110,
-  "scandal": 35420,
-  "scandal</w>": 11622,
-  "scandals</w>": 45490,
-  "scandin": 32014,
-  "scandinavian</w>": 35661,
-  "scanned</w>": 43719,
-  "scanner</w>": 24185,
-  "scanning</w>": 24092,
-  "scans</w>": 31251,
-  "scap": 35883,
-  "scape": 36005,
-  "scape</w>": 12314,
-  "scapes</w>": 31933,
-  "scar": 4171,
-  "scar</w>": 18088,
-  "scarborough</w>": 24254,
-  "scarce</w>": 38572,
-  "scarcity</w>": 45812,
-  "scare": 33536,
-  "scare</w>": 15920,
-  "scarec": 38814,
-  "scarecrow</w>": 46504,
-  "scared</w>": 9870,
-  "scares</w>": 34096,
-  "scarf</w>": 13365,
-  "scari": 27050,
-  "scariest</w>": 37213,
-  "scarlet</w>": 20389,
-  "scarlett</w>": 28325,
-  "scars</w>": 20747,
-  "scarves</w>": 29249,
-  "scary</w>": 9250,
-  "scat": 13899,
-  "scattered</w>": 22090,
-  "scavenger</w>": 36778,
-  "scc</w>": 19458,
-  "scd</w>": 48422,
-  "scen": 2204,
-  "scenario</w>": 20456,
-  "scenarios</w>": 31346,
-  "scence</w>": 33418,
-  "scene</w>": 3562,
-  "scenery</w>": 16025,
-  "scenes</w>": 5415,
-  "scenic</w>": 15394,
-  "scent": 36277,
-  "scent</w>": 7683,
-  "scented</w>": 27190,
-  "scenter</w>": 23059,
-  "scentre</w>": 39371,
-  "scents</w>": 26336,
-  "scep": 24439,
-  "scfc</w>": 38578,
-  "sch": 844,
-  "sch</w>": 7542,
-  "scha": 42809,
-  "schaf": 45588,
-  "schaft</w>": 41010,
-  "schal": 35568,
-  "schalke</w>": 41029,
-  "schallenge</w>": 43665,
-  "schan": 31328,
-  "schar": 15085,
-  "schat</w>": 31842,
-  "schau": 35830,
-  "sche": 3038,
-  "sche</w>": 7289,
-  "schedu": 4207,
-  "schedule</w>": 5521,
-  "scheduled</w>": 10986,
-  "schedules</w>": 28986,
-  "scheduling</w>": 32216,
-  "scheer</w>": 26776,
-  "schel": 39881,
-  "schel</w>": 38569,
-  "schem": 17720,
-  "scheme</w>": 9024,
-  "schemes</w>": 22958,
-  "schen": 22738,
-  "scher": 21925,
-  "scher</w>": 21299,
-  "schi": 13731,
-  "schi</w>": 24984,
-  "schicago</w>": 46230,
-  "schiff</w>": 39431,
-  "schild</w>": 32148,
-  "schiz": 33230,
-  "schizoph": 40004,
-  "schizophre": 41163,
-  "schle": 32022,
-  "schmid": 17375,
-  "schmidt</w>": 18463,
-  "schnau": 45745,
-  "schnei": 19941,
-  "schneider</w>": 22972,
-  "schnit": 40903,
-  "scho": 2493,
-  "schoice</w>": 23860,
-  "schol": 4498,
-  "scholar": 7192,
-  "scholar</w>": 12830,
-  "scholarly</w>": 41065,
-  "scholars</w>": 13818,
-  "scholarship</w>": 9070,
-  "scholarships</w>": 17866,
-  "scholastic</w>": 35743,
-  "schoo": 20721,
-  "school": 6063,
-  "school</w>": 1228,
-  "schooled</w>": 44722,
-  "schoolers</w>": 31455,
-  "schooling</w>": 28608,
-  "schools</w>": 3513,
-  "schre": 47685,
-  "schri": 25453,
-  "schro": 32381,
-  "schu": 11318,
-  "schubert</w>": 46939,
-  "schul": 14945,
-  "schultz</w>": 30308,
-  "schulz</w>": 39572,
-  "schumacher</w>": 39208,
-  "schumer</w>": 25313,
-  "schur": 42475,
-  "schwab</w>": 47602,
-  "schwar": 13985,
-  "schwartz</w>": 30617,
-  "schwarz": 27074,
-  "schwarzenegger</w>": 33860,
-  "schwe": 25324,
-  "sci": 2267,
-  "sci</w>": 8309,
-  "sciart</w>": 31704,
-  "scicom": 28606,
-  "scicomm</w>": 29573,
-  "scien": 39261,
-  "science": 10201,
-  "science</w>": 2497,
-  "sciencefiction</w>": 39170,
-  "sciences</w>": 11481,
-  "scienti": 4338,
-  "scientific</w>": 9750,
-  "scientist</w>": 11083,
-  "scientists</w>": 8045,
-  "sciento": 36193,
-  "scientology</w>": 44694,
-  "scifi": 41862,
-  "scifi</w>": 12230,
-  "scion</w>": 47208,
-  "sciss": 25667,
-  "scissors</w>": 30867,
-  "sciutto</w>": 44392,
-  "sclerosis</w>": 39446,
-  "sclub</w>": 20017,
-  "sco": 1065,
-  "sco</w>": 4763,
-  "scoe</w>": 31164,
-  "scol": 13599,
-  "scoll</w>": 44895,
-  "scollege</w>": 39536,
-  "scom</w>": 26407,
-  "scon": 17163,
-  "scon</w>": 29272,
-  "scones</w>": 36443,
-  "sconf</w>": 39704,
-  "scoo": 14199,
-  "scooby</w>": 34469,
-  "scoop</w>": 13829,
-  "scoops</w>": 41360,
-  "scope</w>": 7979,
-  "scopes</w>": 30328,
-  "scopic</w>": 23869,
-  "scopy</w>": 20018,
-  "scor": 8442,
-  "score": 12067,
-  "score</w>": 4431,
-  "scoreboard</w>": 30104,
-  "scorecard</w>": 38128,
-  "scored</w>": 6143,
-  "scoreless</w>": 33469,
-  "scorer</w>": 16572,
-  "scorers</w>": 26699,
-  "scores</w>": 7039,
-  "scoring</w>": 9198,
-  "scorpi": 15445,
-  "scorpio</w>": 34331,
-  "scorpion</w>": 28461,
-  "scorpions</w>": 45401,
-  "scorsese</w>": 45975,
-  "scot": 2496,
-  "scot</w>": 9271,
-  "scotch</w>": 16687,
-  "scoti": 46446,
-  "scotia</w>": 27859,
-  "scotland": 29174,
-  "scotland</w>": 4203,
-  "scots</w>": 17260,
-  "scotsman</w>": 39612,
-  "scott": 7775,
-  "scott</w>": 3664,
-  "scotti": 6227,
-  "scottish": 18039,
-  "scottish</w>": 7442,
-  "scottsdale</w>": 27817,
-  "scotty": 39697,
-  "scotty</w>": 26836,
-  "scotus</w>": 21720,
-  "scou": 44909,
-  "scoun": 16110,
-  "scouncil</w>": 48787,
-  "scountry</w>": 40432,
-  "scour": 46172,
-  "scout": 32213,
-  "scout</w>": 10786,
-  "scouting</w>": 19072,
-  "scouts</w>": 14837,
-  "scow": 27929,
-  "scowboys</w>": 31386,
-  "scp</w>": 45030,
-  "scr</w>": 36131,
-  "scra": 11187,
-  "scrabble</w>": 39488,
-  "scram": 17289,
-  "scramble</w>": 32688,
-  "scrambled</w>": 39026,
-  "scran": 41774,
-  "scranton</w>": 45274,
-  "scrap": 27950,
-  "scrap</w>": 21695,
-  "scrapbook</w>": 48733,
-  "scrapped</w>": 43325,
-  "scraps</w>": 40809,
-  "scrat": 9572,
-  "scratch</w>": 13258,
-  "scratched</w>": 48831,
-  "scratches</w>": 46556,
-  "scratching</w>": 44617,
-  "scre": 1795,
-  "scream": 31645,
-  "scream</w>": 13239,
-  "screamed</w>": 35427,
-  "screaming</w>": 12891,
-  "screams</w>": 23989,
-  "screen": 5351,
-  "screen</w>": 3750,
-  "screened</w>": 31450,
-  "screening</w>": 6688,
-  "screenings</w>": 27655,
-  "screenplay</w>": 30058,
-  "screens</w>": 12689,
-  "screenshot": 20637,
-  "screenshot</w>": 12646,
-  "screenshots</w>": 26783,
-  "screenshotsaturday</w>": 21406,
-  "screenwriter</w>": 37293,
-  "screenwriting</w>": 35465,
-  "screw": 25529,
-  "screw</w>": 14225,
-  "screwdriver</w>": 48748,
-  "screwed</w>": 30592,
-  "screws</w>": 38292,
-  "scri": 2139,
-  "scrib": 34259,
-  "scribe</w>": 36228,
-  "scribed</w>": 38334,
-  "scricket</w>": 45947,
-  "scrim": 21978,
-  "scrimmage</w>": 25216,
-  "scrip": 11955,
-  "script</w>": 8374,
-  "scripted</w>": 40513,
-  "scription</w>": 26604,
-  "scriptions</w>": 39512,
-  "scripts</w>": 20109,
-  "scripture</w>": 27186,
-  "scro": 30768,
-  "scroll</w>": 24160,
-  "scrolling</w>": 28889,
-  "scrolls</w>": 38113,
-  "scroo": 42263,
-  "scru": 7589,
-  "scrub</w>": 23432,
-  "scrubs</w>": 37919,
-  "scrum</w>": 29047,
-  "scrump": 39791,
-  "scrumptious</w>": 40987,
-  "scrutiny</w>": 34305,
-  "scs</w>": 26853,
-  "sct</w>": 39284,
-  "scu": 8181,
-  "scu</w>": 32135,
-  "scuba": 39053,
-  "scuba</w>": 20559,
-  "scubadiving</w>": 49046,
-  "scue</w>": 25955,
-  "scul": 4948,
-  "scully</w>": 36598,
-  "sculp": 6093,
-  "sculpt</w>": 45044,
-  "sculpted</w>": 41296,
-  "sculpting</w>": 44389,
-  "sculptor</w>": 29409,
-  "sculpture</w>": 8757,
-  "sculptures</w>": 20378,
-  "scum</w>": 29655,
-  "scumb": 44525,
-  "scup</w>": 21506,
-  "scur": 32742,
-  "scwx</w>": 41966,
-  "scy": 27471,
-  "sd": 3080,
-  "sd</w>": 4159,
-  "sda</w>": 25548,
-  "sdale</w>": 12327,
-  "sday": 5902,
-  "sday</w>": 1376,
-  "sdays</w>": 14491,
-  "sdc</w>": 40992,
-  "sdcc</w>": 13246,
-  "sden</w>": 17241,
-  "sdf</w>": 34681,
-  "sdg</w>": 20177,
-  "sdgs</w>": 16261,
-  "sdk</w>": 40015,
-  "sdlive</w>": 34561,
-  "sdn</w>": 41925,
-  "sdsu</w>": 41284,
-  "se": 567,
-  "se</w>": 611,
-  "sea": 5970,
-  "sea</w>": 2102,
-  "seab": 15728,
-  "seabir": 42558,
-  "seac": 35626,
-  "seaf": 9336,
-  "seafood</w>": 12472,
-  "seag": 15730,
-  "seagu": 38076,
-  "seagull</w>": 38858,
-  "seagulls</w>": 42215,
-  "seahawks</w>": 15341,
-  "seal": 21381,
-  "seal</w>": 10159,
-  "sealed</w>": 13358,
-  "sealing</w>": 42992,
-  "seals</w>": 18179,
-  "seam": 13710,
-  "seam</w>": 44201,
-  "seaman</w>": 47513,
-  "seamless</w>": 29373,
-  "seamus</w>": 40175,
-  "sean": 11406,
-  "sean</w>": 6077,
-  "seanhannity</w>": 43316,
-  "seap": 29983,
-  "seaport</w>": 46418,
-  "sear": 1612,
-  "search": 23129,
-  "search</w>": 1920,
-  "searched</w>": 28961,
-  "searches</w>": 26378,
-  "searching</w>": 10626,
-  "seared</w>": 29727,
-  "sears</w>": 26693,
-  "seas": 7329,
-  "seas</w>": 9556,
-  "seascape</w>": 42593,
-  "seaside</w>": 18867,
-  "season": 19288,
-  "season</w>": 1367,
-  "seasonal</w>": 14215,
-  "seasoned</w>": 28399,
-  "seasoning</w>": 43439,
-  "seasons</w>": 8635,
-  "seat": 19670,
-  "seat</w>": 4922,
-  "seated</w>": 23953,
-  "seater</w>": 37543,
-  "seating</w>": 16240,
-  "seats</w>": 6944,
-  "seattle": 24388,
-  "seattle</w>": 6274,
-  "seau</w>": 32263,
-  "seaw": 32658,
-  "seaweed</w>": 30204,
-  "seaworld</w>": 27422,
-  "seb": 35766,
-  "seb</w>": 25171,
-  "sebasti": 10324,
-  "sebastian": 43792,
-  "sebastian</w>": 13181,
-  "sebring</w>": 41086,
-  "sec": 2875,
-  "sec</w>": 5338,
-  "seca</w>": 37847,
-  "secco</w>": 27394,
-  "sece": 46297,
-  "seclu": 42392,
-  "secon": 1846,
-  "second": 9329,
-  "second</w>": 2241,
-  "secondary</w>": 13107,
-  "seconds</w>": 6541,
-  "secre": 2460,
-  "secret": 20710,
-  "secret</w>": 4145,
-  "secretari": 29515,
-  "secretariat</w>": 31767,
-  "secretary</w>": 6552,
-  "secretly</w>": 21400,
-  "secrets</w>": 9735,
-  "secs</w>": 28665,
-  "sect</w>": 15772,
-  "section": 34986,
-  "section</w>": 4853,
-  "sectional</w>": 21876,
-  "sections</w>": 20061,
-  "sector</w>": 6579,
-  "sectors</w>": 22173,
-  "secu": 4894,
-  "secular": 47483,
-  "secular</w>": 27560,
-  "secur": 2557,
-  "secure": 44763,
-  "secure</w>": 7515,
-  "secured</w>": 16848,
-  "secures</w>": 31567,
-  "securing</w>": 24759,
-  "securities</w>": 25080,
-  "security": 31245,
-  "security</w>": 2741,
-  "sed": 14034,
-  "sed</w>": 1252,
-  "sedan</w>": 24237,
-  "sedg": 46926,
-  "sedge</w>": 45288,
-  "sedi": 29269,
-  "sedly</w>": 31771,
-  "sedona</w>": 46862,
-  "seduc": 19933,
-  "seductive</w>": 43721,
-  "see": 1751,
-  "see</w>": 862,
-  "seed": 14064,
-  "seed</w>": 6488,
-  "seeded</w>": 33688,
-  "seeding</w>": 40050,
-  "seedlings</w>": 47933,
-  "seeds</w>": 9128,
-  "seeing</w>": 3214,
-  "seek</w>": 8839,
-  "seeker</w>": 28011,
-  "seekers</w>": 20732,
-  "seeking</w>": 8592,
-  "seeks</w>": 12594,
-  "seem": 20043,
-  "seem</w>": 7523,
-  "seemed</w>": 17240,
-  "seemingly</w>": 25917,
-  "seems</w>": 4453,
-  "seen": 36273,
-  "seen</w>": 2041,
-  "seer</w>": 32486,
-  "sees</w>": 7594,
-  "seeyou": 41279,
-  "sef</w>": 27453,
-  "seg": 10551,
-  "sega</w>": 16122,
-  "segment</w>": 15615,
-  "segments</w>": 43053,
-  "segreg": 49117,
-  "segregation</w>": 39086,
-  "segu": 33156,
-  "segun": 43087,
-  "seh": 27536,
-  "seh</w>": 41430,
-  "sehun</w>": 17705,
-  "sei": 13130,
-  "sei</w>": 15907,
-  "sein</w>": 24669,
-  "seine</w>": 41378,
-  "seinfeld</w>": 33706,
-  "seis": 25559,
-  "seismic</w>": 38459,
-  "seiz": 22171,
-  "seize</w>": 26624,
-  "seized</w>": 15826,
-  "seizure</w>": 36804,
-  "seizures</w>": 47199,
-  "sek": 45515,
-  "sek</w>": 25880,
-  "sel": 1000,
-  "sel</w>": 4098,
-  "sela</w>": 47006,
-  "selamat</w>": 37692,
-  "selangor</w>": 44402,
-  "selby</w>": 43546,
-  "selca</w>": 38606,
-  "selcaday</w>": 35924,
-  "seldom</w>": 48322,
-  "sele": 29137,
-  "selec": 3014,
-  "select</w>": 8690,
-  "selected</w>": 6881,
-  "selecting</w>": 32696,
-  "selection</w>": 6724,
-  "selections</w>": 24099,
-  "selective</w>": 28686,
-  "selects</w>": 32902,
-  "selen": 19970,
-  "selena</w>": 14677,
-  "selenagomez</w>": 27653,
-  "seley</w>": 30556,
-  "self": 10139,
-  "self</w>": 1322,
-  "selfcare</w>": 39560,
-  "selfi": 3007,
-  "selfie": 26735,
-  "selfie</w>": 3666,
-  "selfies": 46058,
-  "selfies</w>": 10050,
-  "selfish</w>": 26907,
-  "selfless</w>": 34236,
-  "sell": 10279,
-  "sell</w>": 5119,
-  "seller</w>": 11779,
-  "sellers</w>": 16562,
-  "selling</w>": 4396,
-  "sells</w>": 14306,
-  "selma</w>": 36652,
-  "sels</w>": 42070,
-  "selves</w>": 4505,
-  "sely</w>": 8402,
-  "sem": 8645,
-  "sem</w>": 17106,
-  "sema</w>": 31816,
-  "seman": 29119,
-  "seman</w>": 28378,
-  "semana</w>": 41780,
-  "semb": 36054,
-  "seme": 10855,
-  "sement</w>": 10714,
-  "sements</w>": 31449,
-  "semester</w>": 11905,
-  "semi": 11023,
-  "semi</w>": 6684,
-  "semic": 26967,
-  "semicon": 34315,
-  "semiconduc": 35646,
-  "semiconductor</w>": 43551,
-  "semifinal</w>": 22935,
-  "semifinals</w>": 21863,
-  "semin": 5595,
-  "seminar</w>": 7269,
-  "seminars</w>": 34870,
-  "seminary</w>": 31655,
-  "seminole</w>": 42956,
-  "semis</w>": 24013,
-  "semit": 22628,
-  "semite</w>": 23721,
-  "semitic</w>": 34894,
-  "semitism</w>": 25911,
-  "semper": 47391,
-  "sen": 1057,
-  "sen</w>": 2249,
-  "sena</w>": 21584,
-  "senate": 30703,
-  "senate</w>": 6843,
-  "senator": 20871,
-  "senator</w>": 8495,
-  "senators</w>": 16889,
-  "send": 27684,
-  "send</w>": 3625,
-  "sending</w>": 6985,
-  "sends</w>": 10817,
-  "sene": 25269,
-  "seneca</w>": 33419,
-  "senegal</w>": 28255,
-  "senew": 49313,
-  "seng": 43022,
-  "seng</w>": 29971,
-  "senior": 19865,
-  "senior</w>": 3415,
-  "seniors</w>": 8138,
-  "senna</w>": 36195,
-  "senpai</w>": 46562,
-  "sens": 5218,
-  "sens</w>": 22837,
-  "sensation</w>": 19383,
-  "sensational</w>": 23051,
-  "sense": 29162,
-  "sense</w>": 4747,
-  "sensei</w>": 36158,
-  "senses</w>": 21809,
-  "sensi": 38802,
-  "sensible</w>": 30635,
-  "sensing</w>": 29236,
-  "sensiti": 20531,
-  "sensitive</w>": 13734,
-  "sensitivity</w>": 27788,
-  "sensor</w>": 15330,
-  "sensors</w>": 20356,
-  "sensory</w>": 21831,
-  "sensu": 28157,
-  "sensual</w>": 40860,
-  "sent": 6200,
-  "sent</w>": 3676,
-  "sentence</w>": 12737,
-  "sentenced</w>": 17773,
-  "sentences</w>": 25858,
-  "sentencing</w>": 34394,
-  "senti": 19042,
-  "sentim": 25102,
-  "sentiment</w>": 25949,
-  "sentimental</w>": 40070,
-  "sentiments</w>": 47450,
-  "sentin": 20042,
-  "sentinel</w>": 23123,
-  "senting</w>": 3924,
-  "seo": 24743,
-  "seo</w>": 8622,
-  "seok": 34697,
-  "seok</w>": 22482,
-  "seokjin</w>": 45584,
-  "seoul</w>": 13253,
-  "sep": 3212,
-  "sep</w>": 10434,
-  "separ": 6859,
-  "separate</w>": 13886,
-  "separated</w>": 22163,
-  "separately</w>": 41904,
-  "separates</w>": 45365,
-  "separati": 39377,
-  "separating</w>": 43480,
-  "separation</w>": 22007,
-  "sephora</w>": 38414,
-  "sepsis</w>": 40205,
-  "sept</w>": 5380,
-  "septe": 3672,
-  "september</w>": 3707,
-  "septic</w>": 34690,
-  "sepul": 47360,
-  "seq</w>": 44379,
-  "sequ": 5491,
-  "seque": 44662,
-  "sequel</w>": 15701,
-  "sequence</w>": 18833,
-  "sequences</w>": 47306,
-  "sequencing</w>": 33484,
-  "sequo": 32781,
-  "sequoia</w>": 42404,
-  "ser": 803,
-  "ser</w>": 2771,
-  "sera</w>": 28250,
-  "serbia</w>": 19038,
-  "serbian</w>": 33687,
-  "sere": 35770,
-  "seren": 7880,
-  "serena</w>": 19519,
-  "serenawilliams</w>": 48316,
-  "serendip": 45805,
-  "serendipity</w>": 49386,
-  "serene</w>": 28269,
-  "serenity</w>": 24187,
-  "serge": 13477,
-  "serge</w>": 35700,
-  "sergeant</w>": 22049,
-  "sergei</w>": 39870,
-  "sergey</w>": 35390,
-  "sergi": 47675,
-  "sergio</w>": 18359,
-  "seri": 2763,
-  "seri</w>": 37509,
-  "serial</w>": 14216,
-  "serie</w>": 19752,
-  "seriea</w>": 32660,
-  "series</w>": 1857,
-  "serious": 47421,
-  "serious</w>": 4770,
-  "seriously</w>": 4885,
-  "sermon</w>": 24884,
-  "sero": 48883,
-  "serpent": 37084,
-  "serpent</w>": 35364,
-  "serra</w>": 39851,
-  "serrano</w>": 44236,
-  "sers</w>": 13509,
-  "serum</w>": 25385,
-  "serv": 1297,
-  "serv</w>": 24571,
-  "servant</w>": 20810,
-  "servants</w>": 29652,
-  "serve": 39202,
-  "serve</w>": 2838,
-  "served</w>": 4740,
-  "server": 36458,
-  "server</w>": 8398,
-  "serverless</w>": 49243,
-  "servers</w>": 22262,
-  "serves</w>": 9915,
-  "servic": 27115,
-  "service": 21496,
-  "service</w>": 2086,
-  "serviced</w>": 44687,
-  "services</w>": 3100,
-  "servicing</w>": 41300,
-  "serving</w>": 5722,
-  "sery</w>": 14279,
-  "ses": 23708,
-  "ses</w>": 1386,
-  "sesame</w>": 21706,
-  "sese</w>": 37128,
-  "sesh</w>": 24274,
-  "session</w>": 2550,
-  "sessions</w>": 6327,
-  "set": 7965,
-  "set</w>": 1167,
-  "setback</w>": 43605,
-  "seth": 20005,
-  "seth</w>": 11870,
-  "sethu": 38933,
-  "setlist</w>": 33141,
-  "seton</w>": 43799,
-  "sets</w>": 4650,
-  "sett": 4984,
-  "sett</w>": 17567,
-  "sette</w>": 14613,
-  "setter</w>": 23153,
-  "settes</w>": 44145,
-  "setti</w>": 45170,
-  "setting</w>": 5264,
-  "settings</w>": 18628,
-  "settle</w>": 15075,
-  "settled</w>": 18310,
-  "settlement</w>": 16494,
-  "settlements</w>": 36605,
-  "settlers</w>": 35671,
-  "settles</w>": 41498,
-  "settling</w>": 22036,
-  "setup</w>": 11092,
-  "seu</w>": 31539,
-  "seul": 48975,
-  "seum</w>": 18838,
-  "seun": 24209,
-  "seung": 32393,
-  "seung</w>": 33711,
-  "seungri</w>": 41627,
-  "seuss</w>": 34441,
-  "sev": 26585,
-  "sev</w>": 37600,
-  "seva</w>": 42604,
-  "seve": 21458,
-  "seve</w>": 22468,
-  "sevel": 17439,
-  "seven": 7874,
-  "seven</w>": 5757,
-  "sevens</w>": 29911,
-  "sevent": 43048,
-  "seventeen</w>": 19337,
-  "seventh</w>": 17568,
-  "seventy</w>": 47170,
-  "sever": 3250,
-  "sever</w>": 45557,
-  "several</w>": 5560,
-  "severance</w>": 26194,
-  "severe</w>": 6215,
-  "severely</w>": 24417,
-  "severn</w>": 34626,
-  "severy": 34207,
-  "sevilla</w>": 24947,
-  "seville</w>": 34988,
-  "sew</w>": 28640,
-  "sewage</w>": 32777,
-  "sewer</w>": 28294,
-  "sewing</w>": 15974,
-  "sewn</w>": 42118,
-  "sex": 3548,
-  "sex</w>": 5937,
-  "sexi": 20562,
-  "sexiest</w>": 25426,
-  "sexism</w>": 32059,
-  "sexist</w>": 33047,
-  "sexu": 14741,
-  "sexual</w>": 6749,
-  "sexuality</w>": 21244,
-  "sexually</w>": 23032,
-  "sexy": 21019,
-  "sexy</w>": 38127,
-  "sey": 6317,
-  "sey</w>": 2258,
-  "seychel": 36809,
-  "seychelles</w>": 38519,
-  "seye</w>": 35604,
-  "seym": 22657,
-  "seymour</w>": 25850,
-  "seys</w>": 15081,
-  "sez</w>": 42377,
-  "señ": 43368,
-  "sf": 4435,
-  "sf</w>": 4915,
-  "sfa</w>": 32675,
-  "sfam</w>": 37649,
-  "sfb</w>": 27930,
-  "sfc</w>": 14129,
-  "sfest</w>": 49024,
-  "sff</w>": 42056,
-  "sfgiants</w>": 20923,
-  "sfield</w>": 11801,
-  "sfo</w>": 39182,
-  "sfootball</w>": 45259,
-  "sfor": 9115,
-  "sford</w>": 28917,
-  "sforsale</w>": 28888,
-  "sfw</w>": 18073,
-  "sfx</w>": 37995,
-  "sg": 9599,
-  "sg</w>": 7611,
-  "sga</w>": 33049,
-  "sgate</w>": 27558,
-  "sgh</w>": 47590,
-  "sgo": 5393,
-  "sgo</w>": 21044,
-  "sgt</w>": 13748,
-  "sh": 552,
-  "sh</w>": 849,
-  "sha": 1514,
-  "sha</w>": 3337,
-  "shaa</w>": 44221,
-  "shab": 8323,
-  "shabbat</w>": 38042,
-  "shabby</w>": 28838,
-  "shack": 23866,
-  "shack</w>": 18785,
-  "shad": 3182,
-  "shad</w>": 23874,
-  "shade": 34554,
-  "shade</w>": 10097,
-  "shaded</w>": 43506,
-  "shades": 46608,
-  "shades</w>": 9270,
-  "shadesof": 45180,
-  "shading</w>": 37348,
-  "shado": 9325,
-  "shadow": 15243,
-  "shadow</w>": 7068,
-  "shadowhun": 19931,
-  "shadowhunters</w>": 24834,
-  "shadowing</w>": 46092,
-  "shadows</w>": 12971,
-  "shady</w>": 22158,
-  "shaf": 12032,
-  "shaft</w>": 21545,
-  "shag": 22439,
-  "shaggy</w>": 42662,
-  "shah": 13203,
-  "shah</w>": 8439,
-  "shahe": 23643,
-  "shaheed</w>": 30060,
-  "shaheer</w>": 43969,
-  "shahi</w>": 46972,
-  "shahid": 25696,
-  "shahid</w>": 27138,
-  "shahidkapoor</w>": 29892,
-  "shahzad</w>": 45915,
-  "shai</w>": 47941,
-  "shaikh</w>": 45712,
-  "shail": 37603,
-  "shair</w>": 43135,
-  "shak": 8385,
-  "shake": 8206,
-  "shake</w>": 8251,
-  "shaken</w>": 38237,
-  "shaker</w>": 26210,
-  "shakers</w>": 38411,
-  "shakes</w>": 19668,
-  "shakespe": 9890,
-  "shakespeare": 22499,
-  "shakespeare</w>": 12488,
-  "shakespearesunday</w>": 32320,
-  "shaking</w>": 19101,
-  "shakira</w>": 40795,
-  "shakti": 48593,
-  "shakti</w>": 32458,
-  "shakur</w>": 48915,
-  "shal": 15056,
-  "shal</w>": 28175,
-  "shale</w>": 32864,
-  "shall</w>": 4742,
-  "shallow</w>": 23730,
-  "shalom</w>": 31339,
-  "sham": 6453,
-  "sham</w>": 9005,
-  "shaman</w>": 48727,
-  "shambles</w>": 40799,
-  "shame": 14776,
-  "shame</w>": 7593,
-  "shameful</w>": 28283,
-  "shameless</w>": 25380,
-  "shaming</w>": 40553,
-  "shampoo</w>": 23944,
-  "shamrock</w>": 34199,
-  "shan": 5171,
-  "shan</w>": 8834,
-  "shana</w>": 44835,
-  "shand": 29101,
-  "shane": 26863,
-  "shane</w>": 11572,
-  "shang": 11141,
-  "shanghai</w>": 12742,
-  "shani": 46665,
-  "shank</w>": 24685,
-  "shankar</w>": 24108,
-  "shann": 9932,
-  "shannon": 22842,
-  "shannon</w>": 13581,
-  "shant": 36610,
-  "shap": 5581,
-  "shape": 26925,
-  "shape</w>": 6448,
-  "shaped</w>": 10127,
-  "shapes</w>": 15377,
-  "shaping</w>": 18632,
-  "shapiro</w>": 32110,
-  "shaq": 46402,
-  "shaq</w>": 26843,
-  "shar": 1669,
-  "shar</w>": 36542,
-  "shara</w>": 48849,
-  "sharapo": 36489,
-  "sharapova</w>": 36671,
-  "shard</w>": 42207,
-  "share": 7585,
-  "share</w>": 1978,
-  "shared</w>": 5368,
-  "shareholder</w>": 38241,
-  "shareholders</w>": 34778,
-  "sharepoint</w>": 39213,
-  "shares</w>": 4974,
-  "sharethe": 49277,
-  "shareyour": 45890,
-  "shari": 27738,
-  "shari</w>": 47390,
-  "sharia</w>": 37244,
-  "sharif</w>": 15501,
-  "sharing</w>": 3567,
-  "sharjah</w>": 33420,
-  "shark": 15836,
-  "shark</w>": 7980,
-  "sharks</w>": 10047,
-  "sharkweek</w>": 39571,
-  "sharma</w>": 10105,
-  "sharon": 28722,
-  "sharon</w>": 14138,
-  "sharp": 17126,
-  "sharp</w>": 8157,
-  "sharpe</w>": 34374,
-  "sharpen": 41465,
-  "sharpie</w>": 46858,
-  "sharply</w>": 37185,
-  "shasta</w>": 46727,
-  "shat": 12169,
-  "shat</w>": 44388,
-  "shatter</w>": 45008,
-  "shattered</w>": 26820,
-  "shau": 13750,
-  "shaun": 23446,
-  "shaun</w>": 16669,
-  "shav": 11410,
-  "shave</w>": 17735,
-  "shaved</w>": 25571,
-  "shaving</w>": 24261,
-  "shaw": 6122,
-  "shaw</w>": 6805,
-  "shawa</w>": 46413,
-  "shawl</w>": 35132,
-  "shawn": 16677,
-  "shawn</w>": 10970,
-  "shawnee</w>": 48060,
-  "shawnmendes</w>": 27277,
-  "shawty</w>": 38026,
-  "shay": 10778,
-  "shay</w>": 18361,
-  "shaykh</w>": 47223,
-  "shaz": 18618,
-  "shazam</w>": 29063,
-  "shc</w>": 43419,
-  "shd</w>": 37729,
-  "she": 1729,
-  "she</w>": 1043,
-  "shea</w>": 20407,
-  "shead": 44287,
-  "shead</w>": 20434,
-  "shealth": 41743,
-  "shealth</w>": 22197,
-  "shear": 27974,
-  "shear</w>": 32108,
-  "shearer</w>": 40505,
-  "sheath</w>": 45637,
-  "shed": 16586,
-  "shed</w>": 1492,
-  "shedding</w>": 33608,
-  "sheds</w>": 25921,
-  "shee": 23450,
-  "shee</w>": 34321,
-  "sheed</w>": 26105,
-  "sheehan</w>": 41809,
-  "sheen</w>": 25025,
-  "sheep": 23604,
-  "sheep</w>": 9629,
-  "sheer</w>": 17577,
-  "sheeran</w>": 18561,
-  "sheet</w>": 7298,
-  "sheets</w>": 12744,
-  "shef": 8237,
-  "sheff": 38844,
-  "sheff</w>": 43821,
-  "sheffiel": 26940,
-  "sheffield": 41763,
-  "sheffield</w>": 10420,
-  "sheffieldissuper</w>": 33628,
-  "sheh": 31667,
-  "sheikh</w>": 15031,
-  "sheil": 42765,
-  "sheila</w>": 25734,
-  "shek</w>": 33285,
-  "shel": 3159,
-  "shelby": 36906,
-  "shelby</w>": 16885,
-  "sheldon</w>": 25079,
-  "shelf</w>": 10955,
-  "shell": 23374,
-  "shell</w>": 6648,
-  "shelley</w>": 22497,
-  "shelling</w>": 43166,
-  "shells</w>": 19265,
-  "shelly</w>": 37461,
-  "shelter</w>": 8599,
-  "sheltered</w>": 48070,
-  "shelters</w>": 24312,
-  "shelton</w>": 24471,
-  "shelves</w>": 16225,
-  "shem</w>": 40299,
-  "shen": 10154,
-  "shen</w>": 31098,
-  "shenan": 20965,
-  "shenando": 44666,
-  "shenanigans</w>": 26590,
-  "shenko</w>": 39751,
-  "shenmue</w>": 48279,
-  "shenzhen</w>": 38970,
-  "shep": 33757,
-  "shep</w>": 44857,
-  "shepard</w>": 26810,
-  "shepher": 11008,
-  "shepherd</w>": 13242,
-  "shepherds</w>": 42792,
-  "sheppard</w>": 37304,
-  "sher": 3570,
-  "sher</w>": 4510,
-  "sheraton</w>": 39400,
-  "shere</w>": 21507,
-  "sheri": 9235,
-  "sheridan</w>": 27085,
-  "sheriff</w>": 10309,
-  "sherlock</w>": 17294,
-  "sherman</w>": 17822,
-  "sherry": 44348,
-  "sherry</w>": 24689,
-  "shers</w>": 14141,
-  "sherwood</w>": 24527,
-  "sheryl</w>": 39773,
-  "shes": 45514,
-  "shes</w>": 2502,
-  "shet": 15850,
-  "shetland</w>": 29595,
-  "shetty</w>": 25533,
-  "shev": 45182,
-  "sheva</w>": 45132,
-  "shh</w>": 35025,
-  "shhh</w>": 36932,
-  "shi": 823,
-  "shi</w>": 3533,
-  "shia</w>": 23791,
-  "shibu": 36177,
-  "shibuya</w>": 41623,
-  "shie</w>": 26638,
-  "shiel": 33413,
-  "shield</w>": 8670,
-  "shields</w>": 19085,
-  "shies</w>": 35312,
-  "shif": 35317,
-  "shift": 43767,
-  "shift</w>": 6905,
-  "shifted</w>": 34429,
-  "shifter</w>": 48944,
-  "shifting</w>": 21992,
-  "shifts</w>": 23957,
-  "shik</w>": 36980,
-  "shil": 14370,
-  "shill": 32121,
-  "shill</w>": 30090,
-  "shilpa": 47062,
-  "shilpa</w>": 40690,
-  "shim": 11986,
-  "shim</w>": 32780,
-  "shima</w>": 14382,
-  "shimano</w>": 48904,
-  "shimi</w>": 40517,
-  "shimmer</w>": 38792,
-  "shin": 5664,
-  "shin</w>": 11784,
-  "shinde</w>": 41516,
-  "shine": 17582,
-  "shine</w>": 3780,
-  "shinee</w>": 19660,
-  "shines</w>": 16015,
-  "shing": 38641,
-  "shing</w>": 1743,
-  "shining</w>": 10485,
-  "shino": 43074,
-  "shiny</w>": 12190,
-  "ship": 7645,
-  "ship</w>": 1158,
-  "shipment</w>": 28553,
-  "shipp": 34709,
-  "shipped</w>": 15279,
-  "shippers</w>": 44789,
-  "shipping</w>": 5721,
-  "ships</w>": 3262,
-  "shipwreck</w>": 48878,
-  "shipy": 26828,
-  "shipyard</w>": 31273,
-  "shir": 1956,
-  "shiraz</w>": 35618,
-  "shire": 11975,
-  "shire</w>": 2968,
-  "shirehour</w>": 32456,
-  "shirley</w>": 18189,
-  "shiro</w>": 26048,
-  "shirt": 27576,
-  "shirt</w>": 2523,
-  "shirtless</w>": 28959,
-  "shirts</w>": 5803,
-  "shistory</w>": 34979,
-  "shiv": 18042,
-  "shiv</w>": 37121,
-  "shiva": 33881,
-  "shiva</w>": 21174,
-  "shka</w>": 38944,
-  "shld</w>": 49359,
-  "shma</w>": 48074,
-  "shment</w>": 8802,
-  "shments</w>": 18822,
-  "sho": 719,
-  "sho</w>": 13756,
-  "shock": 19617,
-  "shock</w>": 8736,
-  "shocked</w>": 15787,
-  "shocker</w>": 37971,
-  "shockey</w>": 22258,
-  "shocking</w>": 13394,
-  "shocks</w>": 31886,
-  "shoe": 16308,
-  "shoe</w>": 7342,
-  "shoes": 49391,
-  "shoes</w>": 4079,
-  "shol": 21472,
-  "sholm</w>": 44139,
-  "shome</w>": 42701,
-  "shon": 19526,
-  "shon</w>": 37621,
-  "shone</w>": 47173,
-  "shoo": 1975,
-  "shook</w>": 20730,
-  "shoops</w>": 29956,
-  "shoot": 12531,
-  "shoot</w>": 3704,
-  "shooter</w>": 13645,
-  "shooters</w>": 31902,
-  "shooting</w>": 3992,
-  "shootings</w>": 26753,
-  "shootout</w>": 20666,
-  "shoots</w>": 14144,
-  "shop": 5738,
-  "shop</w>": 1557,
-  "shopify</w>": 47949,
-  "shoplocal</w>": 21775,
-  "shopp": 38486,
-  "shoppe</w>": 38236,
-  "shopped</w>": 28088,
-  "shopper</w>": 24346,
-  "shoppers</w>": 22316,
-  "shopping": 42101,
-  "shopping</w>": 4266,
-  "shops</w>": 6467,
-  "shopsmall</w>": 35942,
-  "shor": 3209,
-  "shore": 14717,
-  "shore</w>": 5928,
-  "shored": 33140,
-  "shoreditch</w>": 35042,
-  "shoreline</w>": 34807,
-  "shores</w>": 18102,
-  "short": 6803,
-  "short</w>": 3005,
-  "shortage</w>": 19910,
-  "shortages</w>": 38730,
-  "shortcuts</w>": 45793,
-  "shorten</w>": 41711,
-  "shorter</w>": 20350,
-  "shortest</w>": 33717,
-  "shortfilm</w>": 37204,
-  "shorth": 37397,
-  "shortlist</w>": 28163,
-  "shortlisted</w>": 20631,
-  "shortly</w>": 11967,
-  "shorts</w>": 9680,
-  "shorty</w>": 33502,
-  "shot": 9805,
-  "shot</w>": 2000,
-  "shotel</w>": 42365,
-  "shotgun</w>": 21643,
-  "shots</w>": 5342,
-  "shou": 3890,
-  "shoul": 29847,
-  "should": 14947,
-  "should</w>": 1535,
-  "shoulder</w>": 8476,
-  "shoulders</w>": 18738,
-  "shouldn</w>": 9416,
-  "shour</w>": 20025,
-  "shouse</w>": 28671,
-  "shout": 7335,
-  "shout</w>": 5214,
-  "shouted</w>": 44397,
-  "shouting</w>": 26464,
-  "shoutout</w>": 8274,
-  "shouts</w>": 26709,
-  "shovel</w>": 31778,
-  "show": 2133,
-  "show</w>": 1080,
-  "showbiz</w>": 34156,
-  "showcas": 14290,
-  "showcase</w>": 7265,
-  "showcased</w>": 35786,
-  "showcases</w>": 26266,
-  "showcasing</w>": 17036,
-  "showdown</w>": 15576,
-  "showed</w>": 7150,
-  "shower</w>": 7777,
-  "showers</w>": 9893,
-  "showing</w>": 3649,
-  "shown</w>": 8506,
-  "showroom</w>": 16821,
-  "shows</w>": 2665,
-  "showtime": 40576,
-  "showtime</w>": 15442,
-  "showyour": 46733,
-  "shp</w>": 38341,
-  "shq</w>": 21145,
-  "shr": 10118,
-  "shra": 21360,
-  "shradd": 28172,
-  "shraddha": 35208,
-  "shraddhakapoor</w>": 40385,
-  "shre": 12101,
-  "shred": 19756,
-  "shred</w>": 33017,
-  "shredded</w>": 31772,
-  "shredding</w>": 45534,
-  "shree</w>": 37410,
-  "shrek</w>": 35009,
-  "shrews": 26411,
-  "shrewsbury</w>": 30921,
-  "shri": 8838,
-  "shri</w>": 11424,
-  "shrimp</w>": 12727,
-  "shrin": 24865,
-  "shrine</w>": 16156,
-  "shrink</w>": 34957,
-  "shrinking</w>": 41243,
-  "shrm</w>": 44163,
-  "shro": 15259,
-  "shroff</w>": 32081,
-  "shrop": 22630,
-  "shropshire</w>": 26344,
-  "shru": 14911,
-  "shrub</w>": 41464,
-  "shrubs</w>": 47975,
-  "shrun": 46767,
-  "shs</w>": 16184,
-  "sht</w>": 44210,
-  "shti</w>": 38927,
-  "shu": 2872,
-  "shu</w>": 17651,
-  "shua</w>": 33771,
-  "shub</w>": 40552,
-  "shud</w>": 45782,
-  "shuff": 42641,
-  "shuffle</w>": 21681,
-  "shui</w>": 45473,
-  "shuk": 29927,
-  "shukla</w>": 46829,
-  "shul": 30721,
-  "shum": 37383,
-  "shun": 24479,
-  "shun</w>": 39594,
-  "shur": 41032,
-  "shut": 8702,
-  "shut</w>": 8282,
-  "shutdown</w>": 16051,
-  "shutout</w>": 24385,
-  "shuts</w>": 28313,
-  "shutt": 31866,
-  "shutter": 36235,
-  "shutter</w>": 33902,
-  "shutters</w>": 46894,
-  "shutting</w>": 31383,
-  "shuttle</w>": 15842,
-  "shwar</w>": 41640,
-  "shy": 22678,
-  "shy</w>": 9682,
-  "si": 564,
-  "si</w>": 2990,
-  "sia</w>": 2357,
-  "siam": 29686,
-  "siam</w>": 48248,
-  "siamese</w>": 43161,
-  "sian": 28510,
-  "sian</w>": 6221,
-  "sians</w>": 26583,
-  "sias</w>": 28645,
-  "siber": 22206,
-  "siberia</w>": 39969,
-  "siberian</w>": 34058,
-  "sibl": 14338,
-  "sible</w>": 14507,
-  "sibling": 43060,
-  "sibling</w>": 23779,
-  "siblings</w>": 17156,
-  "sic": 8278,
-  "sic</w>": 1118,
-  "sica</w>": 34125,
-  "sical</w>": 33875,
-  "sichuan</w>": 48950,
-  "sicilian</w>": 45292,
-  "sicily</w>": 23179,
-  "sick": 11143,
-  "sick</w>": 5359,
-  "sickest</w>": 47972,
-  "sickle</w>": 41459,
-  "sickness</w>": 28898,
-  "sics</w>": 26297,
-  "sid": 10117,
-  "sid</w>": 15119,
-  "sidd": 19842,
-  "siddi": 35227,
-  "side": 5869,
-  "side</w>": 1145,
-  "sided</w>": 21061,
-  "sidekick</w>": 44683,
-  "sidel": 43557,
-  "sideline</w>": 32056,
-  "sidelines</w>": 31046,
-  "sider</w>": 30581,
-  "siders</w>": 41249,
-  "sides</w>": 7578,
-  "sideshow</w>": 46789,
-  "sidewalk</w>": 23278,
-  "sidewalks</w>": 43583,
-  "sideways</w>": 35593,
-  "siding</w>": 38758,
-  "sidney</w>": 22598,
-  "sie": 8533,
-  "sie</w>": 5685,
-  "sieg": 49203,
-  "siege</w>": 18460,
-  "siegel</w>": 48559,
-  "siem": 18434,
-  "siemens</w>": 30147,
-  "siempre</w>": 44030,
-  "siena</w>": 33336,
-  "sienna</w>": 40373,
-  "sier": 10028,
-  "sier</w>": 7444,
-  "sierra</w>": 13552,
-  "siers</w>": 35923,
-  "sies</w>": 16367,
-  "siest</w>": 18323,
-  "sif</w>": 29300,
-  "sig": 872,
-  "sig</w>": 19145,
-  "sigh": 36303,
-  "sigh</w>": 15505,
-  "sighs</w>": 44579,
-  "sight": 16897,
-  "sight</w>": 6329,
-  "sighted</w>": 33034,
-  "sighting</w>": 17507,
-  "sightings</w>": 30004,
-  "sights</w>": 17364,
-  "sightseeing</w>": 34210,
-  "sigma": 45075,
-  "sigma</w>": 15697,
-  "sign": 5538,
-  "sign</w>": 2292,
-  "signage</w>": 21156,
-  "signal</w>": 10781,
-  "signaling</w>": 38492,
-  "signalling</w>": 48426,
-  "signals</w>": 17150,
-  "signation</w>": 24347,
-  "signature</w>": 9189,
-  "signatures</w>": 21865,
-  "signed</w>": 3163,
-  "signee</w>": 39778,
-  "signi": 34023,
-  "signific": 6374,
-  "significance</w>": 23769,
-  "significant</w>": 8735,
-  "significantly</w>": 16187,
-  "signing</w>": 4401,
-  "signingday</w>": 40282,
-  "signings</w>": 27731,
-  "signs</w>": 4659,
-  "signup</w>": 40791,
-  "sigue</w>": 49401,
-  "sii</w>": 36672,
-  "sik": 19974,
-  "sik</w>": 22413,
-  "sika</w>": 31144,
-  "sikh</w>": 21829,
-  "sikhs</w>": 45426,
-  "sil": 1556,
-  "sil</w>": 8315,
-  "sila</w>": 41754,
-  "sile": 37620,
-  "silen": 39048,
-  "silence</w>": 8462,
-  "silenced</w>": 45415,
-  "silent": 30352,
-  "silent</w>": 8487,
-  "silently</w>": 42640,
-  "silhou": 20589,
-  "silhouette</w>": 26149,
-  "silic": 23830,
-  "silicon": 32412,
-  "silicon</w>": 17888,
-  "silicone</w>": 28221,
-  "silk": 25891,
-  "silk</w>": 9743,
-  "silky</w>": 29554,
-  "sill": 42468,
-  "sill</w>": 48024,
-  "silly</w>": 11883,
-  "silon</w>": 31841,
-  "sils</w>": 39708,
-  "silva</w>": 16489,
-  "silve": 37697,
-  "silver": 7525,
-  "silver</w>": 3467,
-  "silverado</w>": 46160,
-  "silverstone</w>": 29666,
-  "silvia</w>": 37289,
-  "sim": 5026,
-  "sim</w>": 10740,
-  "sima</w>": 35871,
-  "simba</w>": 39492,
-  "simcoe</w>": 47148,
-  "sime": 28329,
-  "simi</w>": 38073,
-  "simil": 7202,
-  "similar</w>": 8547,
-  "similarities</w>": 34716,
-  "simm": 13001,
-  "simmons</w>": 14699,
-  "simo</w>": 37171,
-  "simon": 8796,
-  "simon</w>": 6668,
-  "simona</w>": 46277,
-  "simone</w>": 19062,
-  "simons</w>": 33097,
-  "simp": 2542,
-  "simple": 19018,
-  "simple</w>": 4129,
-  "simpler</w>": 35489,
-  "simplest</w>": 39588,
-  "simpli": 16868,
-  "simplicity</w>": 21262,
-  "simplified</w>": 36647,
-  "simplify</w>": 35479,
-  "simply": 25637,
-  "simply</w>": 6151,
-  "simpson": 41805,
-  "simpson</w>": 11750,
-  "simpsons</w>": 21092,
-  "sims</w>": 14021,
-  "simul": 9845,
-  "simulated</w>": 46395,
-  "simulation</w>": 18610,
-  "simulator</w>": 20821,
-  "simultaneous</w>": 48816,
-  "simultaneously</w>": 28575,
-  "sin": 1303,
-  "sin</w>": 3421,
-  "sina</w>": 19541,
-  "sinai</w>": 33226,
-  "sinatra</w>": 27262,
-  "sinc</w>": 30464,
-  "since</w>": 1855,
-  "sincere": 24513,
-  "sincere</w>": 24886,
-  "sincerely</w>": 25673,
-  "sinclair</w>": 23100,
-  "sind": 39598,
-  "sind</w>": 30877,
-  "sindh</w>": 20754,
-  "sindia</w>": 48038,
-  "sine": 22741,
-  "sine</w>": 33793,
-  "sinfo</w>": 47178,
-  "sing": 1387,
-  "sing</w>": 1197,
-  "singapo": 27861,
-  "singapore": 28879,
-  "singapore</w>": 6754,
-  "singer": 33880,
-  "singer</w>": 5108,
-  "singers</w>": 15613,
-  "singersongwriter</w>": 44585,
-  "singh": 19445,
-  "singh</w>": 5715,
-  "singing</w>": 5864,
-  "single": 19524,
-  "single</w>": 2688,
-  "singles</w>": 12025,
-  "singleton</w>": 46247,
-  "singly</w>": 16619,
-  "sings</w>": 13635,
-  "singul": 34003,
-  "singular</w>": 44009,
-  "singularity</w>": 48410,
-  "sinha</w>": 29416,
-  "sini": 41781,
-  "sini</w>": 26319,
-  "sinister</w>": 31313,
-  "sink": 37232,
-  "sink</w>": 14551,
-  "sinking</w>": 27949,
-  "sinks</w>": 32710,
-  "sinn</w>": 36315,
-  "sinner</w>": 45380,
-  "sinners</w>": 43436,
-  "sino</w>": 29759,
-  "sins</w>": 9345,
-  "sinthe": 30737,
-  "sinu": 37351,
-  "sinus</w>": 47535,
-  "sio</w>": 10807,
-  "siob": 40954,
-  "siology</w>": 46315,
-  "sion": 5676,
-  "sion</w>": 1015,
-  "sional</w>": 14533,
-  "sionally</w>": 30754,
-  "sions</w>": 4060,
-  "sioux": 44695,
-  "sioux</w>": 24954,
-  "sip</w>": 16096,
-  "sipping</w>": 28527,
-  "sir": 10708,
-  "sir</w>": 3846,
-  "sire</w>": 28450,
-  "siren</w>": 33026,
-  "sirens</w>": 35907,
-  "siri": 13986,
-  "siri</w>": 18394,
-  "sirius": 23574,
-  "sirius</w>": 34999,
-  "siriusxm</w>": 29833,
-  "sirloin</w>": 46828,
-  "sis": 18132,
-  "sis</w>": 2580,
-  "sisd</w>": 27132,
-  "sisi</w>": 37892,
-  "siss": 42929,
-  "sissy</w>": 27564,
-  "sist</w>": 20520,
-  "sista</w>": 37448,
-  "sister": 17417,
-  "sister</w>": 3677,
-  "sisterhood</w>": 37313,
-  "sisters</w>": 6404,
-  "sit": 7387,
-  "sit</w>": 4037,
-  "sitcom</w>": 30426,
-  "site": 26792,
-  "site</w>": 1988,
-  "sites</w>": 7236,
-  "sith</w>": 41499,
-  "sito</w>": 42613,
-  "sits</w>": 12726,
-  "sitt": 42988,
-  "sitter</w>": 40777,
-  "sittin</w>": 40887,
-  "sitting</w>": 4919,
-  "situ": 5562,
-  "situ</w>": 42536,
-  "situated</w>": 22030,
-  "situation</w>": 7144,
-  "situations</w>": 19096,
-  "sity": 38177,
-  "sity</w>": 5477,
-  "siu</w>": 40174,
-  "sium</w>": 8090,
-  "sius</w>": 27595,
-  "siva</w>": 20991,
-  "sivan</w>": 36931,
-  "sive": 23572,
-  "sive</w>": 1875,
-  "sively</w>": 10343,
-  "siveness</w>": 39667,
-  "sives</w>": 23896,
-  "sivity</w>": 42738,
-  "siwon</w>": 29055,
-  "six": 5968,
-  "six</w>": 4093,
-  "sixers</w>": 25941,
-  "sixteen</w>": 28677,
-  "sixth</w>": 12909,
-  "sixties</w>": 44948,
-  "sixty</w>": 32588,
-  "siya</w>": 44440,
-  "size": 38377,
-  "size</w>": 3235,
-  "sized</w>": 9832,
-  "sizes</w>": 10253,
-  "sizing</w>": 28330,
-  "sizz": 23778,
-  "sizzle</w>": 47890,
-  "sizzling</w>": 35799,
-  "sj": 7536,
-  "sj</w>": 16010,
-  "sjo": 42012,
-  "sk": 909,
-  "sk</w>": 2058,
-  "ska</w>": 7495,
-  "skag": 31948,
-  "skan": 46772,
-  "skar": 27587,
-  "skar</w>": 26835,
-  "skate": 13740,
-  "skate</w>": 12745,
-  "skateboard</w>": 31777,
-  "skateboarding</w>": 31352,
-  "skater</w>": 30337,
-  "skaters</w>": 39824,
-  "skates</w>": 31479,
-  "skc</w>": 44551,
-  "ske": 6261,
-  "ske</w>": 25516,
-  "skel": 36564,
-  "skelet": 27075,
-  "skeletal</w>": 37369,
-  "skeleton</w>": 20062,
-  "skeletons</w>": 48874,
-  "skell</w>": 40801,
-  "skep": 27772,
-  "skeptical</w>": 44934,
-  "sker": 37640,
-  "sker</w>": 33600,
-  "sket": 3744,
-  "sketch": 11767,
-  "sketch</w>": 5269,
-  "sketchbook</w>": 18899,
-  "sketched</w>": 38581,
-  "sketches</w>": 17622,
-  "sketching</w>": 23228,
-  "sketchy</w>": 41582,
-  "skey</w>": 37453,
-  "ski": 3327,
-  "ski</w>": 3428,
-  "skid": 36574,
-  "skid</w>": 32099,
-  "skier</w>": 42585,
-  "skies</w>": 7244,
-  "skiing</w>": 14400,
-  "skil": 24543,
-  "skill": 15598,
-  "skill</w>": 10604,
-  "skilled</w>": 17535,
-  "skillet</w>": 40568,
-  "skills</w>": 4113,
-  "skim": 33191,
-  "skin": 5821,
-  "skin</w>": 3575,
-  "skincare</w>": 12648,
-  "skine</w>": 37300,
-  "sking": 46215,
-  "skinned</w>": 42199,
-  "skinner</w>": 30261,
-  "skinny": 42729,
-  "skinny</w>": 15457,
-  "skins</w>": 11594,
-  "skip": 39793,
-  "skip</w>": 14296,
-  "skipped</w>": 40639,
-  "skipper</w>": 22226,
-  "skipping</w>": 34867,
-  "skir": 8919,
-  "skirt</w>": 12386,
-  "skirts</w>": 24840,
-  "skis</w>": 32843,
-  "skit</w>": 43573,
-  "skitchen</w>": 42820,
-  "skittles</w>": 43213,
-  "sko": 15141,
-  "sko</w>": 23493,
-  "skoda</w>": 38668,
-  "skool</w>": 26743,
-  "skril": 43149,
-  "skrillex</w>": 43651,
-  "sks</w>": 48136,
-  "sku": 10836,
-  "skul": 17561,
-  "skull": 34068,
-  "skull</w>": 12092,
-  "skulls</w>": 31804,
-  "skunk</w>": 42194,
-  "sky": 3075,
-  "sky</w>": 2390,
-  "skybet": 45540,
-  "skye</w>": 21475,
-  "skyl": 43554,
-  "skylar</w>": 45411,
-  "skyline</w>": 14606,
-  "skymap</w>": 41734,
-  "skynews</w>": 40977,
-  "skype</w>": 17069,
-  "skyrim</w>": 33693,
-  "skysports": 39845,
-  "skysports</w>": 46725,
-  "skywalker</w>": 32936,
-  "sl": 2621,
-  "sl</w>": 7489,
-  "sla": 2725,
-  "sla</w>": 26707,
-  "slab</w>": 24241,
-  "slabs</w>": 42818,
-  "slack": 37108,
-  "slack</w>": 30142,
-  "slade</w>": 33546,
-  "slain</w>": 35972,
-  "slalom</w>": 43540,
-  "slam": 14891,
-  "slam</w>": 10131,
-  "slammed</w>": 29772,
-  "slams</w>": 18907,
-  "slan": 44663,
-  "slan</w>": 47193,
-  "sland</w>": 11294,
-  "slang</w>": 33655,
-  "slap": 48830,
-  "slap</w>": 21751,
-  "slapped</w>": 38861,
-  "slaps</w>": 46796,
-  "slash</w>": 19749,
-  "slat": 38966,
-  "slate</w>": 17919,
-  "slated</w>": 36094,
-  "slater</w>": 25968,
-  "slaugh": 26782,
-  "slaughter</w>": 19815,
-  "slaughtered</w>": 46615,
-  "slav</w>": 47292,
-  "slava</w>": 41797,
-  "slave</w>": 14029,
-  "slavery</w>": 15754,
-  "slaves</w>": 23833,
-  "slaw</w>": 28178,
-  "slay": 48319,
-  "slay</w>": 19380,
-  "slayed</w>": 44870,
-  "slayer</w>": 21605,
-  "slaying</w>": 27812,
-  "slays</w>": 45648,
-  "slc</w>": 21972,
-  "sle": 1709,
-  "sleague</w>": 23336,
-  "sled</w>": 28438,
-  "sledge</w>": 48750,
-  "slee": 17642,
-  "slee</w>": 38977,
-  "sleek</w>": 23187,
-  "sleep": 4656,
-  "sleep</w>": 3840,
-  "sleeper</w>": 28709,
-  "sleeping</w>": 6982,
-  "sleepless</w>": 39779,
-  "sleepover</w>": 39415,
-  "sleeps</w>": 16610,
-  "sleepy": 32572,
-  "sleepy</w>": 14497,
-  "sleet</w>": 36948,
-  "sleeve": 35270,
-  "sleeve</w>": 10536,
-  "sleeveless</w>": 38049,
-  "sleeves</w>": 19691,
-  "sleg</w>": 47650,
-  "sleigh</w>": 30865,
-  "slender</w>": 40331,
-  "slept</w>": 20388,
-  "sler</w>": 14066,
-  "sley": 17198,
-  "sley</w>": 6496,
-  "sli": 1811,
-  "sli</w>": 44824,
-  "slic": 19692,
-  "slice</w>": 13431,
-  "sliced</w>": 28121,
-  "slices</w>": 28424,
-  "slick</w>": 18341,
-  "slide": 27828,
-  "slide</w>": 8837,
-  "slider</w>": 37861,
-  "sliders</w>": 40700,
-  "slides</w>": 15939,
-  "slideshow</w>": 42817,
-  "sliding</w>": 21468,
-  "slife</w>": 15448,
-  "sliga</w>": 21080,
-  "slight</w>": 14297,
-  "slightly</w>": 8456,
-  "sligo</w>": 30424,
-  "slike": 38744,
-  "slim": 35226,
-  "slim</w>": 12364,
-  "slime</w>": 29107,
-  "sling": 28021,
-  "sling</w>": 32607,
-  "slinger</w>": 47269,
-  "slions</w>": 43363,
-  "slip": 39785,
-  "slip</w>": 12105,
-  "slipknot</w>": 41816,
-  "slipped</w>": 30344,
-  "slipper</w>": 39644,
-  "slippers</w>": 26509,
-  "slippery</w>": 30814,
-  "slipping</w>": 36301,
-  "slips</w>": 30632,
-  "slist</w>": 33749,
-  "slit</w>": 47011,
-  "slive</w>": 31652,
-  "slo": 4303,
-  "slo</w>": 36083,
-  "sloan</w>": 29110,
-  "sloane</w>": 41553,
-  "slogan</w>": 23398,
-  "slogans</w>": 42795,
-  "slope</w>": 22769,
-  "slopes</w>": 24066,
-  "sloppy</w>": 36154,
-  "slot</w>": 14500,
-  "sloth</w>": 30007,
-  "slots</w>": 19238,
-  "slou": 48493,
-  "slovak": 23315,
-  "slovakia</w>": 25994,
-  "sloven": 17018,
-  "slovenia</w>": 21037,
-  "slow": 6674,
-  "slow</w>": 5444,
-  "slowdown</w>": 38421,
-  "slowed</w>": 43793,
-  "slower</w>": 29181,
-  "slowing</w>": 29839,
-  "slowly</w>": 9568,
-  "slows</w>": 46855,
-  "slp</w>": 45599,
-  "slr</w>": 21325,
-  "sls</w>": 33651,
-  "slt</w>": 39283,
-  "sltd</w>": 36388,
-  "slu": 7224,
-  "slu</w>": 47456,
-  "slug</w>": 34190,
-  "slugger</w>": 48671,
-  "slum</w>": 46754,
-  "slumber</w>": 44295,
-  "slump</w>": 35588,
-  "slur": 30476,
-  "slush</w>": 39815,
-  "slv</w>": 45526,
-  "sly": 28145,
-  "sly</w>": 21062,
-  "sm": 978,
-  "sm</w>": 2764,
-  "sma": 4357,
-  "sma</w>": 11854,
-  "smack": 21280,
-  "smack</w>": 30026,
-  "smackdown</w>": 26138,
-  "smafia</w>": 47686,
-  "smag</w>": 32212,
-  "smal": 48379,
-  "small": 5244,
-  "small</w>": 2442,
-  "smallbiz": 41724,
-  "smallbiz</w>": 18987,
-  "smallbusiness</w>": 21316,
-  "smalle": 18490,
-  "smaller</w>": 12431,
-  "smallest</w>": 18686,
-  "smalls</w>": 41696,
-  "sman</w>": 9612,
-  "smar": 3201,
-  "smart": 5383,
-  "smart</w>": 4115,
-  "smartcities</w>": 34822,
-  "smartcity</w>": 33973,
-  "smarter</w>": 18990,
-  "smartest</w>": 37092,
-  "smarthome</w>": 47726,
-  "smartphone</w>": 11290,
-  "smartphones</w>": 22212,
-  "smartwatch</w>": 35798,
-  "smash": 17258,
-  "smash</w>": 10332,
-  "smashbros</w>": 44897,
-  "smashed</w>": 18410,
-  "smashes</w>": 45657,
-  "smashing</w>": 19632,
-  "smatter</w>": 16537,
-  "smb</w>": 30446,
-  "smc": 31375,
-  "smc</w>": 28312,
-  "smd</w>": 34582,
-  "sme": 11758,
-  "sme</w>": 15650,
-  "smear</w>": 37546,
-  "smel": 28476,
-  "smell</w>": 9688,
-  "smelling</w>": 32493,
-  "smells</w>": 14668,
-  "smelly</w>": 46145,
-  "smen</w>": 15961,
-  "smer": 48526,
-  "smere</w>": 39629,
-  "smes</w>": 26141,
-  "smg</w>": 46876,
-  "smh</w>": 9623,
-  "smi": 5655,
-  "smi</w>": 40049,
-  "smil": 33937,
-  "smile": 27641,
-  "smile</w>": 3490,
-  "smiled</w>": 34362,
-  "smiles</w>": 8726,
-  "smiley</w>": 22925,
-  "smiling</w>": 9200,
-  "smir": 24667,
-  "smith": 10527,
-  "smith</w>": 2915,
-  "smiths</w>": 27872,
-  "smithson": 25372,
-  "smithsonian</w>": 31209,
-  "smm</w>": 19510,
-  "smma</w>": 42370,
-  "smo": 2513,
-  "smo</w>": 13437,
-  "smobile</w>": 38923,
-  "smog</w>": 44425,
-  "smoke": 20381,
-  "smoke</w>": 6664,
-  "smoked</w>": 11161,
-  "smoker</w>": 32348,
-  "smokers</w>": 29571,
-  "smokes</w>": 40336,
-  "smokey</w>": 23670,
-  "smokin</w>": 32825,
-  "smoking</w>": 9038,
-  "smoky</w>": 25549,
-  "smol": 29939,
-  "smol</w>": 40403,
-  "smoo": 5430,
-  "smooth": 10958,
-  "smooth</w>": 8990,
-  "smoother</w>": 44271,
-  "smoothie</w>": 16668,
-  "smoothies</w>": 34458,
-  "smoothly</w>": 32380,
-  "smore</w>": 48323,
-  "smp</w>": 32260,
-  "smriti": 49227,
-  "sms</w>": 10409,
-  "smt</w>": 26672,
-  "smtown</w>": 26072,
-  "smu": 10878,
-  "smu</w>": 30458,
-  "smug</w>": 41021,
-  "smugg": 28130,
-  "smuggling</w>": 34146,
-  "smur": 24708,
-  "smusic</w>": 19191,
-  "smw</w>": 44929,
-  "smx</w>": 46699,
-  "smy": 14381,
-  "smyth</w>": 44822,
-  "sn": 1672,
-  "sn</w>": 5844,
-  "sna": 4032,
-  "snack": 47548,
-  "snack</w>": 10039,
-  "snacking</w>": 46474,
-  "snacks</w>": 12349,
-  "snag": 34789,
-  "snag</w>": 28043,
-  "snagged</w>": 48534,
-  "snail</w>": 23132,
-  "snails</w>": 34928,
-  "snake": 30133,
-  "snake</w>": 8798,
-  "snakes</w>": 19605,
-  "snap": 4578,
-  "snap</w>": 7404,
-  "snapback</w>": 31234,
-  "snapchat</w>": 7799,
-  "snapmatic</w>": 45907,
-  "snapp": 10185,
-  "snapped</w>": 15543,
-  "snapper</w>": 31677,
-  "snapping</w>": 31581,
-  "snaps</w>": 16890,
-  "snapshot</w>": 18243,
-  "snar": 30810,
-  "snare</w>": 40651,
-  "snat": 18457,
-  "snatch</w>": 35302,
-  "snatched</w>": 44821,
-  "snation</w>": 14362,
-  "snazzy</w>": 48963,
-  "snc</w>": 39918,
-  "sne": 3791,
-  "sne</w>": 46503,
-  "sneak": 27871,
-  "sneak</w>": 6917,
-  "sneaker": 31698,
-  "sneaker</w>": 24781,
-  "sneakers</w>": 17397,
-  "sneaking</w>": 34633,
-  "sneakpeek</w>": 47831,
-  "sneaks</w>": 40926,
-  "sneaky</w>": 21293,
-  "snee": 42095,
-  "snell</w>": 46410,
-  "sner</w>": 31424,
-  "snes</w>": 26667,
-  "snews</w>": 18623,
-  "snf</w>": 47651,
-  "sng</w>": 41549,
-  "snhl</w>": 43093,
-  "sni": 7186,
-  "sni</w>": 35570,
-  "snickers</w>": 49127,
-  "sniff</w>": 37841,
-  "snip</w>": 42954,
-  "sniper</w>": 22157,
-  "snippet</w>": 37531,
-  "snippets</w>": 44001,
-  "snl</w>": 16011,
-  "sno": 8567,
-  "sno</w>": 17802,
-  "snoo": 11352,
-  "snooker</w>": 25657,
-  "snoop": 44503,
-  "snoop</w>": 27754,
-  "snoopdogg</w>": 48388,
-  "snoopy</w>": 41967,
-  "snooze</w>": 40718,
-  "snor": 16590,
-  "snoring</w>": 44560,
-  "snorkel": 44285,
-  "snorkeling</w>": 48103,
-  "snow": 3880,
-  "snow</w>": 2583,
-  "snowball</w>": 39254,
-  "snowboard</w>": 33403,
-  "snowboarding</w>": 32397,
-  "snowday</w>": 37982,
-  "snowden</w>": 32154,
-  "snowdon</w>": 47107,
-  "snowdonia</w>": 36088,
-  "snowed</w>": 45073,
-  "snowfall</w>": 21714,
-  "snowflake</w>": 33447,
-  "snowflakes</w>": 38618,
-  "snowing</w>": 21443,
-  "snowman</w>": 22668,
-  "snowstorm</w>": 38777,
-  "snowy</w>": 14191,
-  "snp</w>": 15301,
-  "sns</w>": 36343,
-  "snsd</w>": 27961,
-  "snt</w>": 34834,
-  "snu": 9694,
-  "snuck</w>": 36522,
-  "snug</w>": 45169,
-  "snuggle</w>": 31327,
-  "snuggles</w>": 48165,
-  "sny": 17526,
-  "snyder</w>": 22106,
-  "snz</w>": 37678,
-  "so": 759,
-  "so</w>": 706,
-  "soa</w>": 39584,
-  "soak</w>": 24839,
-  "soaked</w>": 26592,
-  "soaking</w>": 26750,
-  "soap": 26086,
-  "soap</w>": 11088,
-  "soaps</w>": 40958,
-  "soar": 48997,
-  "soar</w>": 22241,
-  "soaring</w>": 27968,
-  "soars</w>": 41348,
-  "sob": 24900,
-  "sob</w>": 35507,
-  "sobbing</w>": 36691,
-  "sober": 30969,
-  "sober</w>": 24487,
-  "sobre</w>": 42768,
-  "sobri": 49308,
-  "sobs</w>": 43636,
-  "soc": 3253,
-  "soc</w>": 7741,
-  "soca</w>": 49239,
-  "socal": 46470,
-  "socal</w>": 20450,
-  "soccer": 16268,
-  "soccer</w>": 4233,
-  "socceroos</w>": 41997,
-  "socent</w>": 30831,
-  "sochi</w>": 21014,
-  "soci": 1720,
-  "social": 4803,
-  "social</w>": 2346,
-  "socialism</w>": 23372,
-  "socialist</w>": 18450,
-  "socialists</w>": 43839,
-  "socially</w>": 24555,
-  "socialmedi": 23813,
-  "socialmedia</w>": 9600,
-  "socialmediamarketing</w>": 31790,
-  "societal</w>": 40058,
-  "societies</w>": 25855,
-  "society</w>": 3757,
-  "socio": 44319,
-  "socio</w>": 42790,
-  "sociology</w>": 32373,
-  "sock": 29801,
-  "sock</w>": 18277,
-  "socket</w>": 28657,
-  "socks</w>": 8774,
-  "socorro</w>": 46409,
-  "socute</w>": 45086,
-  "sod</w>": 31435,
-  "soda</w>": 13533,
-  "sodium</w>": 29070,
-  "soe": 44136,
-  "soe</w>": 25498,
-  "soever</w>": 34024,
-  "sof": 1571,
-  "sof</w>": 41187,
-  "sofa</w>": 15723,
-  "soff": 35290,
-  "soff</w>": 30684,
-  "sofficial</w>": 20563,
-  "sofi": 41537,
-  "sofia</w>": 18914,
-  "sofinstagram</w>": 17301,
-  "soft": 12778,
-  "soft</w>": 3773,
-  "softball</w>": 8369,
-  "softer</w>": 44462,
-  "softhe": 23127,
-  "softly</w>": 34958,
-  "software": 35941,
-  "software</w>": 5847,
-  "softwitter</w>": 11311,
-  "sog</w>": 44775,
-  "soggy</w>": 41168,
-  "sohn</w>": 49267,
-  "soho": 47749,
-  "soho</w>": 17592,
-  "soi</w>": 40495,
-  "soil": 33417,
-  "soil</w>": 9216,
-  "soils</w>": 34891,
-  "soir</w>": 43427,
-  "sok</w>": 43456,
-  "sol": 1175,
-  "sol</w>": 9941,
-  "sola</w>": 40086,
-  "solace</w>": 42567,
-  "solar": 16990,
-  "solar</w>": 5199,
-  "solareclipse</w>": 44727,
-  "sold": 33116,
-  "sold</w>": 3939,
-  "soldi": 5098,
-  "soldier</w>": 9355,
-  "soldiers</w>": 7547,
-  "sole": 10519,
-  "sole</w>": 8576,
-  "soleil</w>": 33148,
-  "solely</w>": 27913,
-  "solent</w>": 47783,
-  "soles</w>": 22682,
-  "soli": 3911,
-  "solic": 19369,
-  "solicitor</w>": 45647,
-  "solicitors</w>": 46000,
-  "solid": 30626,
-  "solid</w>": 6148,
-  "solidar": 10415,
-  "solidarity</w>": 10983,
-  "solidi": 46136,
-  "solids</w>": 49070,
-  "solihull</w>": 45293,
-  "solit": 37039,
-  "solitaire</w>": 47257,
-  "solitary</w>": 33094,
-  "solitude</w>": 33199,
-  "solo": 17626,
-  "solo</w>": 5797,
-  "soloist</w>": 46391,
-  "solom": 15768,
-  "solomon</w>": 19785,
-  "solos</w>": 44868,
-  "solst": 20298,
-  "solstice</w>": 21359,
-  "solu": 2487,
-  "solution</w>": 4575,
-  "solutions</w>": 5140,
-  "solve</w>": 8917,
-  "solved</w>": 13451,
-  "solves</w>": 42740,
-  "solving</w>": 15581,
-  "som": 734,
-  "som</w>": 10672,
-  "soma</w>": 36170,
-  "somal": 40281,
-  "somali</w>": 26231,
-  "somalia</w>": 17051,
-  "somaliland</w>": 43315,
-  "some": 1132,
-  "some</w>": 836,
-  "somebody</w>": 8305,
-  "someday</w>": 17127,
-  "somehow</w>": 11735,
-  "someone</w>": 2100,
-  "somer": 9656,
-  "somerhalder</w>": 33990,
-  "somerset</w>": 14926,
-  "somerville</w>": 41409,
-  "somes</w>": 38124,
-  "somethin</w>": 33541,
-  "something": 28316,
-  "something</w>": 2006,
-  "sometime</w>": 21464,
-  "sometimes</w>": 4237,
-  "somewhat</w>": 17864,
-  "somewhere</w>": 8119,
-  "somm": 42726,
-  "somme</w>": 30625,
-  "sommer</w>": 44954,
-  "somos</w>": 24951,
-  "son": 1176,
-  "son</w>": 825,
-  "sona</w>": 21249,
-  "sonam": 40096,
-  "sonar</w>": 48235,
-  "sonata</w>": 37009,
-  "sone</w>": 29599,
-  "song": 6868,
-  "song</w>": 2295,
-  "songs</w>": 4641,
-  "songwriter</w>": 13034,
-  "songwriters</w>": 39583,
-  "songwriting</w>": 33567,
-  "songz</w>": 49302,
-  "soni": 34899,
-  "soni</w>": 35911,
-  "sonia</w>": 20409,
-  "sonic": 23785,
-  "sonic</w>": 9132,
-  "sonics</w>": 48511,
-  "sonja</w>": 46102,
-  "sonline</w>": 23412,
-  "sonny": 43000,
-  "sonny</w>": 20880,
-  "sono</w>": 44109,
-  "sonom": 48596,
-  "sonoma</w>": 26269,
-  "sons</w>": 5502,
-  "sonsof": 46676,
-  "sont</w>": 31063,
-  "sonthe": 40923,
-  "sony": 16042,
-  "sony</w>": 8748,
-  "sonya</w>": 39172,
-  "soo": 5517,
-  "soo</w>": 8602,
-  "soom": 39771,
-  "soon": 27559,
-  "soon</w>": 1745,
-  "sooner</w>": 18968,
-  "sooners</w>": 30449,
-  "sooo</w>": 11526,
-  "soooo</w>": 13658,
-  "sooooo</w>": 21199,
-  "soooooo</w>": 34859,
-  "soor": 46698,
-  "soothe</w>": 44424,
-  "soothing</w>": 27730,
-  "sop": 3974,
-  "sop</w>": 19194,
-  "soph</w>": 34963,
-  "sophi": 6192,
-  "sophia</w>": 16790,
-  "sophie": 38648,
-  "sophie</w>": 12357,
-  "sophistic": 17646,
-  "sophisticated</w>": 20833,
-  "sophom": 13696,
-  "sophomore</w>": 15242,
-  "sophomores</w>": 47645,
-  "soprano</w>": 28880,
-  "soproud</w>": 44479,
-  "sor": 1852,
-  "sor</w>": 16872,
-  "sora</w>": 38719,
-  "sorbet</w>": 39994,
-  "sore": 43330,
-  "sore</w>": 15454,
-  "sored</w>": 6731,
-  "soren": 38907,
-  "sorg</w>": 28152,
-  "sori": 38588,
-  "sorority</w>": 30059,
-  "soros</w>": 33248,
-  "sorren": 44012,
-  "sorrow</w>": 28020,
-  "sorrows</w>": 47924,
-  "sorry": 25745,
-  "sorry</w>": 3675,
-  "sorrynotsorry</w>": 37105,
-  "sort</w>": 8450,
-  "sorta</w>": 34700,
-  "sorted</w>": 13221,
-  "sorting</w>": 19198,
-  "sorts</w>": 12577,
-  "sory</w>": 16257,
-  "sos": 25145,
-  "sos</w>": 5792,
-  "sosa</w>": 45433,
-  "sosfam</w>": 47709,
-  "sot": 41542,
-  "sot</w>": 34116,
-  "sothe": 32145,
-  "sotho</w>": 45496,
-  "soto</w>": 27947,
-  "sotto</w>": 26047,
-  "sotu</w>": 32286,
-  "sou": 1101,
-  "sou</w>": 24293,
-  "sought</w>": 18874,
-  "soul": 8701,
-  "soul</w>": 3755,
-  "soulful</w>": 30196,
-  "soulmate</w>": 38130,
-  "souls</w>": 10951,
-  "soun": 19474,
-  "sound": 5236,
-  "sound</w>": 3608,
-  "soundcheck</w>": 31394,
-  "soundcloud</w>": 15190,
-  "sounded</w>": 28287,
-  "sounders</w>": 44933,
-  "sounding</w>": 21351,
-  "sounds</w>": 5694,
-  "soundtrack</w>": 11389,
-  "soup</w>": 7077,
-  "soups</w>": 45052,
-  "sour": 2235,
-  "sour</w>": 12049,
-  "source": 23698,
-  "source</w>": 3634,
-  "sourced</w>": 23340,
-  "sources</w>": 5124,
-  "sourcing</w>": 19574,
-  "sourdough</w>": 29921,
-  "souri</w>": 11674,
-  "sous</w>": 32093,
-  "sousa</w>": 46296,
-  "sout": 38156,
-  "sout</w>": 32732,
-  "south": 2938,
-  "south</w>": 2045,
-  "southafrica</w>": 15184,
-  "southampton</w>": 15767,
-  "southbank</w>": 44173,
-  "southbound</w>": 22932,
-  "southeast</w>": 13942,
-  "southeastern</w>": 26813,
-  "southend</w>": 25583,
-  "souther": 33330,
-  "southern": 17704,
-  "southern</w>": 5036,
-  "southgate</w>": 47262,
-  "southkorea</w>": 43552,
-  "southport</w>": 37446,
-  "southside</w>": 36436,
-  "southsudan</w>": 30419,
-  "southwark</w>": 39098,
-  "southwe": 46443,
-  "southwest</w>": 13320,
-  "southwestern</w>": 30157,
-  "souven": 20210,
-  "souvenir</w>": 24811,
-  "souvenirs</w>": 48460,
-  "souza</w>": 29424,
-  "sov</w>": 29737,
-  "sover</w>": 31876,
-  "sovere": 17736,
-  "sovereign": 29418,
-  "sovereign</w>": 26337,
-  "sovereignty</w>": 31701,
-  "soviet</w>": 14274,
-  "sow</w>": 33089,
-  "sowe": 36130,
-  "soweto</w>": 47070,
-  "sown</w>": 49369,
-  "sox": 39556,
-  "sox</w>": 8657,
-  "soy": 16524,
-  "soy</w>": 15010,
-  "soybean</w>": 34606,
-  "soybeans</w>": 40840,
-  "soyu": 39578,
-  "soyuz</w>": 43842,
-  "sp": 588,
-  "sp</w>": 4393,
-  "spa": 7852,
-  "spa</w>": 6692,
-  "spac": 10336,
-  "space": 7857,
-  "space</w>": 2138,
-  "spacecraft</w>": 25940,
-  "spaces</w>": 9006,
-  "spaceship</w>": 34317,
-  "spacex</w>": 22511,
-  "spacey</w>": 48770,
-  "spacious</w>": 24769,
-  "spad": 45362,
-  "spade</w>": 32562,
-  "spades</w>": 48368,
-  "spaghetti</w>": 18440,
-  "spain</w>": 5083,
-  "spal": 26018,
-  "spam": 29712,
-  "spam</w>": 14624,
-  "span": 4270,
-  "span</w>": 14537,
-  "spandex</w>": 41686,
-  "spani": 16721,
-  "spaniel</w>": 35435,
-  "spanish": 29966,
-  "spanish</w>": 6013,
-  "spann</w>": 25323,
-  "spanning</w>": 38638,
-  "spans</w>": 45407,
-  "spaper": 34548,
-  "spar": 3378,
-  "spar</w>": 34576,
-  "spare</w>": 12615,
-  "spares</w>": 39505,
-  "spark": 9555,
-  "spark</w>": 11047,
-  "sparked</w>": 32647,
-  "sparkle</w>": 18287,
-  "sparkles</w>": 36410,
-  "sparkling</w>": 17893,
-  "sparkly</w>": 30542,
-  "sparks</w>": 15046,
-  "sparky</w>": 47198,
-  "sparring</w>": 42161,
-  "sparrow</w>": 22888,
-  "spart": 10143,
-  "sparta</w>": 38401,
-  "spartan": 26582,
-  "spartan</w>": 24225,
-  "spartans</w>": 20457,
-  "sparty</w>": 36477,
-  "spas": 31714,
-  "spati": 19200,
-  "spatial</w>": 22022,
-  "spaw": 31605,
-  "spawn</w>": 29166,
-  "spay": 40634,
-  "spc</w>": 20492,
-  "spca</w>": 37018,
-  "spd": 37717,
-  "spd</w>": 28307,
-  "spdwy</w>": 45981,
-  "spe": 876,
-  "spe</w>": 36676,
-  "speak": 20599,
-  "speak</w>": 4208,
-  "speake": 46077,
-  "speaker": 25764,
-  "speaker</w>": 4914,
-  "speakers</w>": 7675,
-  "speaking</w>": 3714,
-  "speaks</w>": 5661,
-  "spear": 23277,
-  "spear</w>": 30420,
-  "speare</w>": 43859,
-  "spears</w>": 20242,
-  "spec": 1711,
-  "spec</w>": 18596,
-  "speci": 1969,
-  "special": 11422,
-  "special</w>": 1689,
-  "specialist</w>": 10630,
-  "specialists</w>": 21719,
-  "speciality</w>": 46904,
-  "specialized</w>": 23265,
-  "specializes</w>": 48533,
-  "specially</w>": 4513,
-  "specials</w>": 11983,
-  "specialty</w>": 18262,
-  "species</w>": 6330,
-  "specific</w>": 10528,
-  "specifically</w>": 17174,
-  "specification</w>": 46394,
-  "specifications</w>": 39705,
-  "specified</w>": 48114,
-  "specimen</w>": 30263,
-  "specimens</w>": 42715,
-  "specs</w>": 24093,
-  "spect</w>": 3416,
-  "spectac": 7242,
-  "spectacle</w>": 34342,
-  "spectacular</w>": 8404,
-  "spectator</w>": 32372,
-  "spectators</w>": 39306,
-  "spective</w>": 6633,
-  "spector</w>": 48676,
-  "spectral</w>": 45441,
-  "spectre</w>": 35998,
-  "spectro": 27646,
-  "spectrum</w>": 13532,
-  "specul": 19209,
-  "speculation</w>": 30898,
-  "sped</w>": 38813,
-  "spee": 4050,
-  "speech": 19556,
-  "speech</w>": 4902,
-  "speeches</w>": 25208,
-  "speechless</w>": 23152,
-  "speed": 6860,
-  "speed</w>": 4163,
-  "speeding</w>": 27264,
-  "speeds</w>": 22017,
-  "speedway</w>": 11480,
-  "speedy</w>": 21603,
-  "spel": 41887,
-  "spell": 22784,
-  "spell</w>": 11230,
-  "spelled</w>": 24339,
-  "spelling</w>": 15614,
-  "spells</w>": 25335,
-  "spelt</w>": 38316,
-  "spen": 5087,
-  "spence</w>": 33324,
-  "spencer": 27509,
-  "spencer</w>": 10678,
-  "spend</w>": 4664,
-  "spending</w>": 5961,
-  "spends</w>": 22508,
-  "spent</w>": 4429,
-  "speople</w>": 33035,
-  "sper": 8213,
-  "sper</w>": 15313,
-  "sperm</w>": 35781,
-  "sperson</w>": 22687,
-  "spf</w>": 34973,
-  "spg</w>": 34623,
-  "sph": 28909,
-  "sph</w>": 24684,
-  "sphe": 33691,
-  "spher": 18349,
-  "sphere</w>": 6987,
-  "spheres</w>": 37478,
-  "spheric</w>": 21744,
-  "sphin": 39237,
-  "sphinx</w>": 46487,
-  "spho": 20442,
-  "sphoto</w>": 38594,
-  "sphy": 43808,
-  "spi": 3174,
-  "spi</w>": 37080,
-  "spic": 17264,
-  "spice": 29761,
-  "spice</w>": 10141,
-  "spiced</w>": 24267,
-  "spicer</w>": 37627,
-  "spices</w>": 21194,
-  "spicy</w>": 10915,
-  "spide": 36801,
-  "spider": 11963,
-  "spider</w>": 7622,
-  "spiderman": 39808,
-  "spiderman</w>": 18427,
-  "spiders</w>": 23141,
-  "spidey</w>": 41706,
-  "spie": 28573,
-  "spie</w>": 28746,
-  "spied</w>": 43998,
-  "spiegel</w>": 45351,
-  "spiel": 28435,
-  "spiel</w>": 37690,
-  "spielberg</w>": 37569,
-  "spies</w>": 25374,
-  "spieth</w>": 43254,
-  "spike": 35306,
-  "spike</w>": 15310,
-  "spiked</w>": 47014,
-  "spikes</w>": 29582,
-  "spil": 47765,
-  "spill": 43933,
-  "spill</w>": 18006,
-  "spilled</w>": 33206,
-  "spilling</w>": 49006,
-  "spills</w>": 35796,
-  "spin": 6288,
-  "spin</w>": 9226,
-  "spinach</w>": 14747,
-  "spinal</w>": 23925,
-  "spine": 48221,
-  "spine</w>": 19646,
-  "sping</w>": 47113,
-  "spinner</w>": 29924,
-  "spinning</w>": 13987,
-  "spino": 40848,
-  "spinoff</w>": 42513,
-  "spinrilla</w>": 46064,
-  "spins</w>": 27243,
-  "spion": 39604,
-  "spionage</w>": 41838,
-  "spir": 3745,
-  "spiral</w>": 19873,
-  "spiration</w>": 38126,
-  "spire</w>": 27439,
-  "spired</w>": 40650,
-  "spires</w>": 46938,
-  "spiri": 4024,
-  "spirit": 18224,
-  "spirit</w>": 4071,
-  "spirited</w>": 34701,
-  "spirits</w>": 13192,
-  "spiritu": 7237,
-  "spiritual": 46076,
-  "spiritual</w>": 9473,
-  "spirituality</w>": 22165,
-  "spiro": 40085,
-  "spit": 18115,
-  "spit</w>": 23177,
-  "spite</w>": 26060,
-  "spitfire</w>": 31126,
-  "spitting</w>": 40721,
-  "spl": 2470,
-  "spl</w>": 33052,
-  "spla": 4809,
-  "splac": 16059,
-  "splace</w>": 38743,
-  "splash": 43641,
-  "splash</w>": 11879,
-  "splat": 15733,
-  "splatoon</w>": 22565,
-  "splay</w>": 3169,
-  "splen": 18552,
-  "splend": 29861,
-  "splendid</w>": 21016,
-  "splendor</w>": 46262,
-  "splin": 38090,
-  "split": 25443,
-  "split</w>": 9109,
-  "splits</w>": 34897,
-  "splitting</w>": 37210,
-  "splus</w>": 40866,
-  "spn": 35467,
-  "spn</w>": 19414,
-  "spnfamily</w>": 38566,
-  "spo": 1261,
-  "spo</w>": 21085,
-  "spock</w>": 43918,
-  "spoil</w>": 25600,
-  "spoiled</w>": 21399,
-  "spoiler</w>": 16512,
-  "spoilers</w>": 18326,
-  "spoils</w>": 42436,
-  "spoilt</w>": 35358,
-  "spokane</w>": 24528,
-  "spoke": 13890,
-  "spoke</w>": 6518,
-  "spoken</w>": 12979,
-  "spokesman</w>": 31632,
-  "spokesperson</w>": 26234,
-  "spol": 22476,
-  "spol</w>": 8132,
-  "spoli</w>": 34301,
-  "spolice</w>": 37406,
-  "spon": 1715,
-  "spon</w>": 48216,
-  "sponge": 22861,
-  "sponge</w>": 24345,
-  "spongebob</w>": 25089,
-  "spons": 5597,
-  "sponsor": 10424,
-  "sponsor</w>": 7574,
-  "sponsored</w>": 7197,
-  "sponsoring</w>": 16181,
-  "sponsors</w>": 11005,
-  "sponsorship</w>": 17632,
-  "spontaneous</w>": 32465,
-  "spoo": 11248,
-  "spooky</w>": 15369,
-  "spool</w>": 49152,
-  "spoon": 27001,
-  "spoon</w>": 14024,
-  "spoons</w>": 29661,
-  "spor": 1475,
-  "spor</w>": 33746,
-  "sport": 4379,
-  "sport</w>": 2364,
-  "sporting": 32620,
-  "sporting</w>": 8944,
-  "sports": 6436,
-  "sports</w>": 2054,
-  "sportsc": 40114,
-  "sportscar</w>": 46931,
-  "sportscenter</w>": 39157,
-  "sportsman</w>": 39020,
-  "sportsmanship</w>": 34858,
-  "sportsnet</w>": 34144,
-  "sportswear</w>": 39747,
-  "sporty</w>": 33346,
-  "spot": 3223,
-  "spot</w>": 3049,
-  "spotify</w>": 7193,
-  "spotlight</w>": 7901,
-  "spots</w>": 7670,
-  "spotted</w>": 4533,
-  "spotter</w>": 30742,
-  "spotting</w>": 15885,
-  "spouse</w>": 24724,
-  "spout</w>": 48993,
-  "spp</w>": 47567,
-  "spr": 1536,
-  "spr</w>": 19417,
-  "spra": 12966,
-  "spraw": 46590,
-  "spray": 37885,
-  "spray</w>": 10449,
-  "sprayed</w>": 40022,
-  "spraying</w>": 39224,
-  "spre": 18740,
-  "spread": 20620,
-  "spread</w>": 5284,
-  "spreading</w>": 11821,
-  "spreads</w>": 27579,
-  "spree</w>": 21851,
-  "spri": 35498,
-  "spride</w>": 26685,
-  "spring": 5166,
-  "spring</w>": 2420,
-  "springbreak</w>": 37753,
-  "springer</w>": 30117,
-  "springfield</w>": 16599,
-  "springs</w>": 7308,
-  "springst</w>": 32132,
-  "springsteen</w>": 28367,
-  "springtime</w>": 28285,
-  "springtraining</w>": 49364,
-  "springwatch</w>": 29239,
-  "sprink": 15817,
-  "sprinkle</w>": 42897,
-  "sprinkler</w>": 48754,
-  "sprinkles</w>": 37326,
-  "sprint": 29248,
-  "sprint</w>": 10751,
-  "sprinter</w>": 36947,
-  "sprints</w>": 36404,
-  "sprite</w>": 32544,
-  "spro": 13902,
-  "spro</w>": 37403,
-  "sproject</w>": 37802,
-  "sproud</w>": 37686,
-  "sprout</w>": 35863,
-  "sprouts</w>": 25756,
-  "spru": 17041,
-  "spruce</w>": 23812,
-  "sprung</w>": 32968,
-  "sps</w>": 13869,
-  "spu": 23566,
-  "spun": 47922,
-  "spun</w>": 32852,
-  "spur": 15206,
-  "spur</w>": 20361,
-  "spurs</w>": 10916,
-  "spursofficial</w>": 45290,
-  "sput": 47521,
-  "spx</w>": 20584,
-  "spy": 13861,
-  "spy</w>": 6656,
-  "spyder</w>": 39952,
-  "spying</w>": 36227,
-  "sq": 9370,
-  "sq</w>": 11590,
-  "sqft</w>": 41912,
-  "sql": 42759,
-  "sql</w>": 18938,
-  "sqm</w>": 47978,
-  "sqn</w>": 41209,
-  "squ": 1653,
-  "squad": 13892,
-  "squad</w>": 4234,
-  "squadron</w>": 18579,
-  "squads</w>": 36590,
-  "square": 19314,
-  "square</w>": 3999,
-  "squared</w>": 32967,
-  "squares</w>": 26972,
-  "squash</w>": 13312,
-  "squat": 44628,
-  "squat</w>": 30680,
-  "squats</w>": 40213,
-  "sque": 9721,
-  "sque</w>": 8097,
-  "squee": 14420,
-  "squeeze</w>": 21684,
-  "squeezed</w>": 40413,
-  "squid": 42057,
-  "squid</w>": 22553,
-  "squir": 9683,
-  "squire</w>": 48090,
-  "squirrel</w>": 14004,
-  "squirrels</w>": 26623,
-  "squish": 42607,
-  "squishy</w>": 47001,
-  "sr": 3437,
-  "sr</w>": 5428,
-  "srbachchan</w>": 32353,
-  "src</w>": 23445,
-  "sre": 17748,
-  "sri": 11051,
-  "sri</w>": 9276,
-  "sridevi</w>": 46301,
-  "srilan": 15559,
-  "srilanka</w>": 16922,
-  "srin": 26818,
-  "srinagar</w>": 33671,
-  "srini": 41899,
-  "sriracha</w>": 42743,
-  "sris": 27851,
-  "srisri</w>": 32966,
-  "srk": 44982,
-  "srk</w>": 11216,
-  "srl</w>": 33808,
-  "srp</w>": 43004,
-  "srs</w>": 41764,
-  "srsly</w>": 44179,
-  "srt</w>": 28139,
-  "sru": 44152,
-  "srugby</w>": 40526,
-  "ss": 690,
-  "ss</w>": 632,
-  "ssa</w>": 6088,
-  "ssal": 31330,
-  "ssal</w>": 35936,
-  "ssb</w>": 37511,
-  "ssc": 21692,
-  "ssc</w>": 20364,
-  "ssd</w>": 23107,
-  "sse": 9030,
-  "sse</w>": 8938,
-  "ssed": 38755,
-  "ssed</w>": 1804,
-  "ssel": 17402,
-  "ssel</w>": 19373,
-  "sseldorf</w>": 47792,
-  "ssell</w>": 42388,
-  "ssels</w>": 8355,
-  "ssen": 39408,
-  "ssen</w>": 22645,
-  "sser</w>": 20445,
-  "sses</w>": 1802,
-  "ssett</w>": 44103,
-  "ssf</w>": 33239,
-  "ssg</w>": 40707,
-  "ssh</w>": 48866,
-  "ssi": 834,
-  "ssi</w>": 14953,
-  "ssia</w>": 22238,
-  "ssian</w>": 31218,
-  "ssible</w>": 47099,
-  "ssic": 27774,
-  "ssic</w>": 17077,
-  "ssie</w>": 7572,
-  "ssier</w>": 26422,
-  "ssil</w>": 15026,
-  "ssin</w>": 42660,
-  "ssing</w>": 2112,
-  "ssion": 16050,
-  "ssion</w>": 1627,
-  "ssional</w>": 13727,
-  "ssionism</w>": 24787,
-  "ssionist</w>": 27682,
-  "ssions</w>": 4137,
-  "ssive</w>": 2734,
-  "ssively</w>": 28060,
-  "ssl</w>": 32195,
-  "ssler</w>": 30287,
-  "ssly</w>": 24904,
-  "ssn</w>": 39116,
-  "ssnhq</w>": 47998,
-  "sso": 25900,
-  "sso</w>": 7914,
-  "ssoccer</w>": 32546,
-  "sson": 36124,
-  "sson</w>": 7271,
-  "ssor</w>": 35152,
-  "ssp</w>": 31101,
-  "ssr</w>": 39880,
-  "sss</w>": 11176,
-  "ssss": 30676,
-  "ssss</w>": 15880,
-  "sssss</w>": 24298,
-  "sst</w>": 40396,
-  "ssu</w>": 35351,
-  "ssummit</w>": 49301,
-  "ssus</w>": 31286,
-  "ssw</w>": 36937,
-  "ssy": 22519,
-  "ssy</w>": 8661,
-  "st": 522,
-  "st</w>": 545,
-  "sta": 1363,
-  "sta</w>": 2745,
-  "stab": 7726,
-  "stab</w>": 29974,
-  "stabbed</w>": 24534,
-  "stabbing</w>": 25474,
-  "stabil": 42576,
-  "stabili": 23903,
-  "stability</w>": 16716,
-  "stable": 44427,
-  "stable</w>": 10492,
-  "stables</w>": 34218,
-  "stac": 10175,
-  "stacey": 41653,
-  "stacey</w>": 24262,
-  "stache</w>": 23616,
-  "stack": 24723,
-  "stack</w>": 11257,
-  "stacked</w>": 24990,
-  "stacking</w>": 39836,
-  "stacks</w>": 24734,
-  "stacy</w>": 26628,
-  "stad": 15832,
-  "stad</w>": 16485,
-  "stade</w>": 38198,
-  "stadi": 26587,
-  "stadion</w>": 48815,
-  "stadium</w>": 3390,
-  "stadiums</w>": 38852,
-  "stadt</w>": 22713,
-  "staf": 2367,
-  "staff": 31188,
-  "staff</w>": 2813,
-  "staffer</w>": 38494,
-  "staffers</w>": 44994,
-  "staffing</w>": 32932,
-  "stafford</w>": 25006,
-  "staffordshire</w>": 29198,
-  "staffs</w>": 36098,
-  "stag": 12088,
-  "stag</w>": 20277,
-  "stage": 23182,
-  "stage</w>": 2170,
-  "staged</w>": 19906,
-  "stages</w>": 12297,
-  "staggering</w>": 37315,
-  "staging</w>": 27026,
-  "stagram</w>": 19503,
-  "stags</w>": 45936,
-  "stain": 3933,
-  "stain</w>": 14603,
-  "stained</w>": 13751,
-  "staining</w>": 32523,
-  "stainless</w>": 12320,
-  "stains</w>": 32008,
-  "stair": 7240,
-  "stair</w>": 17662,
-  "staircase</w>": 22777,
-  "stairs</w>": 9577,
-  "stairway</w>": 45559,
-  "stak": 39144,
-  "stake": 15955,
-  "stake</w>": 7937,
-  "stakeholder</w>": 39122,
-  "stakeholders</w>": 22968,
-  "stakes</w>": 7519,
-  "staking</w>": 47082,
-  "stal": 3861,
-  "stal</w>": 5535,
-  "stale</w>": 42471,
-  "stalert</w>": 25450,
-  "stalin</w>": 28346,
-  "stalk": 40826,
-  "stalk</w>": 14878,
-  "stalker</w>": 26777,
-  "stalking</w>": 24721,
-  "stalks</w>": 45886,
-  "stall": 24636,
-  "stall</w>": 12058,
-  "stalled</w>": 40362,
-  "stallion</w>": 28273,
-  "stallions</w>": 44787,
-  "stallone</w>": 40969,
-  "stalls</w>": 25427,
-  "stam": 4663,
-  "stamatic</w>": 30904,
-  "stamford</w>": 27843,
-  "stamina</w>": 48753,
-  "stamp": 28694,
-  "stamp</w>": 12771,
-  "stampcollecting</w>": 42852,
-  "stamped</w>": 38356,
-  "stampede</w>": 25384,
-  "stamps</w>": 13827,
-  "stan": 2203,
-  "stan</w>": 2434,
-  "stana</w>": 33311,
-  "stanbul</w>": 11231,
-  "stance": 48900,
-  "stance</w>": 3542,
-  "stances</w>": 15054,
-  "stand": 1819,
-  "stand</w>": 2087,
-  "standalone</w>": 44887,
-  "standard": 35780,
-  "standard</w>": 5807,
-  "standardi": 30247,
-  "standards</w>": 9022,
-  "standby</w>": 36184,
-  "standing": 39934,
-  "standing</w>": 2862,
-  "standings</w>": 19835,
-  "standoff</w>": 31821,
-  "standout</w>": 23131,
-  "standre": 48309,
-  "stands</w>": 6446,
-  "standup": 35108,
-  "standup</w>": 24964,
-  "standwith": 19540,
-  "stanford": 36219,
-  "stanford</w>": 15087,
-  "stang</w>": 12536,
-  "stani</w>": 38228,
-  "stanis": 37711,
-  "stanley": 19048,
-  "stanley</w>": 10079,
-  "stanleycup</w>": 28662,
-  "stans</w>": 26564,
-  "stant": 41576,
-  "stant</w>": 4906,
-  "stanton</w>": 25400,
-  "stap": 10438,
-  "staple</w>": 22695,
-  "staples</w>": 23646,
-  "stapleton</w>": 45228,
-  "star": 993,
-  "star</w>": 1565,
-  "starbuck": 48519,
-  "starbucks</w>": 9499,
-  "starch</w>": 47837,
-  "starcraft</w>": 48871,
-  "stardom</w>": 44616,
-  "stardust</w>": 34337,
-  "stare</w>": 18094,
-  "stared</w>": 47772,
-  "stares</w>": 37916,
-  "starfish</w>": 44283,
-  "stargate</w>": 41099,
-  "stargazing</w>": 49328,
-  "staring</w>": 13800,
-  "stark": 40446,
-  "stark</w>": 15353,
-  "starlight</w>": 32197,
-  "starling</w>": 46205,
-  "starmagic": 48023,
-  "starplus</w>": 37815,
-  "starr</w>": 19186,
-  "starred</w>": 24180,
-  "starrer</w>": 41311,
-  "starring</w>": 6660,
-  "starry</w>": 30963,
-  "stars</w>": 2895,
-  "starship</w>": 37166,
-  "start": 17466,
-  "start</w>": 1572,
-  "started</w>": 2760,
-  "starter</w>": 7800,
-  "starters</w>": 22222,
-  "starting</w>": 2530,
-  "startrek": 30642,
-  "startrek</w>": 15349,
-  "starts</w>": 3105,
-  "startu": 6996,
-  "startup": 18049,
-  "startup</w>": 5882,
-  "startups</w>": 9056,
-  "starve</w>": 46957,
-  "starving</w>": 30473,
-  "starwar": 17287,
-  "starwars": 26239,
-  "starwars</w>": 7887,
-  "starz</w>": 25928,
-  "stas</w>": 19866,
-  "stash</w>": 27711,
-  "stasy</w>": 45942,
-  "stat": 3004,
-  "stat</w>": 15216,
-  "state": 3492,
-  "state</w>": 1295,
-  "statec": 33931,
-  "stated</w>": 19629,
-  "statedept</w>": 41458,
-  "statefair</w>": 40305,
-  "statement</w>": 5401,
-  "statements</w>": 19513,
-  "staten</w>": 38263,
-  "stateof": 35195,
-  "states": 22125,
-  "states</w>": 4218,
-  "statesman</w>": 35301,
-  "stateu</w>": 44248,
-  "statewide</w>": 29561,
-  "stati": 9622,
-  "static</w>": 16363,
-  "stating</w>": 35147,
-  "station": 13498,
-  "station</w>": 2631,
-  "stationary</w>": 29493,
-  "stationed</w>": 47618,
-  "stationery</w>": 33851,
-  "stations</w>": 10051,
-  "statistical</w>": 29349,
-  "statistics</w>": 14165,
-  "stats</w>": 7294,
-  "statu": 32481,
-  "statue</w>": 8222,
-  "statues</w>": 24363,
-  "status</w>": 6414,
-  "stau": 28550,
-  "staur": 3709,
-  "stav": 20285,
-  "stax</w>": 32235,
-  "stay": 4714,
-  "stay</w>": 2277,
-  "stayed</w>": 13805,
-  "staying</w>": 8993,
-  "stays</w>": 13311,
-  "staytuned</w>": 39285,
-  "stc</w>": 29859,
-  "std</w>": 30477,
-  "ste": 795,
-  "ste</w>": 2686,
-  "stea</w>": 46614,
-  "stead": 16101,
-  "stead</w>": 11031,
-  "steadily</w>": 35049,
-  "steady</w>": 12937,
-  "steak": 26955,
-  "steak</w>": 8913,
-  "steakhouse</w>": 35031,
-  "steaks</w>": 30655,
-  "steal": 37070,
-  "steal</w>": 10181,
-  "stealing</w>": 14242,
-  "steals</w>": 20224,
-  "stealth</w>": 25327,
-  "steam": 10962,
-  "steam</w>": 6972,
-  "steamboat</w>": 41121,
-  "steamed</w>": 29007,
-  "steamer</w>": 49075,
-  "steaming</w>": 43746,
-  "steampunk</w>": 24130,
-  "steamy</w>": 43104,
-  "stec</w>": 46713,
-  "stech": 48949,
-  "stech</w>": 32455,
-  "sted": 20426,
-  "sted</w>": 1356,
-  "stee": 31793,
-  "steed</w>": 48293,
-  "steel": 6938,
-  "steel</w>": 4726,
-  "steele</w>": 19460,
-  "steelers</w>": 14430,
-  "steen": 42851,
-  "steen</w>": 18625,
-  "steep": 28648,
-  "steep</w>": 20714,
-  "steer</w>": 27612,
-  "steering</w>": 19833,
-  "stef": 29158,
-  "stefan": 15004,
-  "stefan</w>": 18829,
-  "stefani</w>": 38319,
-  "stefano</w>": 30719,
-  "steff": 30075,
-  "stein": 13653,
-  "stein</w>": 5818,
-  "steiner</w>": 36314,
-  "stel": 9102,
-  "stel</w>": 10798,
-  "stell": 22355,
-  "stella": 46178,
-  "stella</w>": 17869,
-  "stellar</w>": 13810,
-  "stellen": 42754,
-  "stem": 24342,
-  "stem</w>": 6761,
-  "stemc": 40486,
-  "stems</w>": 31503,
-  "sten": 7652,
-  "sten</w>": 7877,
-  "stencil</w>": 47854,
-  "stennis</w>": 45636,
-  "step": 15572,
-  "step</w>": 3348,
-  "steph": 3522,
-  "steph</w>": 16251,
-  "stephan</w>": 37312,
-  "stephani": 48121,
-  "stephanie</w>": 14361,
-  "stephen": 10421,
-  "stephen</w>": 6078,
-  "stephenking</w>": 46361,
-  "stephens</w>": 22256,
-  "stephenson</w>": 37280,
-  "stepped</w>": 18384,
-  "stepping</w>": 15906,
-  "steps</w>": 5408,
-  "ster": 1022,
-  "ster</w>": 881,
-  "stere": 9229,
-  "stered</w>": 6935,
-  "stereo": 15992,
-  "stereo</w>": 17400,
-  "stereotypes</w>": 27890,
-  "steria</w>": 38804,
-  "stering</w>": 14175,
-  "sterling": 45790,
-  "sterling</w>": 9378,
-  "stern": 36254,
-  "stern</w>": 2945,
-  "steroids</w>": 37670,
-  "sterone</w>": 39418,
-  "sters</w>": 2132,
-  "stery</w>": 24232,
-  "stest</w>": 8556,
-  "stev": 11640,
-  "steve": 7412,
-  "steve</w>": 3803,
-  "steven": 10973,
-  "steven</w>": 8016,
-  "stevens</w>": 13877,
-  "stevenson</w>": 25091,
-  "stevie": 42104,
-  "stevie</w>": 18969,
-  "stew</w>": 17906,
-  "stewar": 28453,
-  "steward": 34980,
-  "steward</w>": 43355,
-  "stewards</w>": 49294,
-  "stewardship</w>": 36720,
-  "stewart</w>": 8120,
-  "stfu</w>": 47000,
-  "stg</w>": 48387,
-  "stgeorge": 43698,
-  "sth": 13456,
-  "sth</w>": 34004,
-  "sthe": 16491,
-  "sthel": 42863,
-  "sti": 860,
-  "sti</w>": 12439,
-  "stia</w>": 26492,
-  "stible</w>": 25835,
-  "stic": 5868,
-  "stic</w>": 1561,
-  "stical</w>": 16660,
-  "stically</w>": 19041,
-  "stick": 5483,
-  "stick</w>": 4987,
-  "sticker</w>": 11270,
-  "stickers</w>": 11613,
-  "sticking</w>": 21021,
-  "sticks</w>": 10016,
-  "sticky</w>": 18887,
-  "stics</w>": 5449,
-  "stie": 38164,
-  "stie</w>": 11000,
-  "stier</w>": 42069,
-  "sties</w>": 16428,
-  "stiff": 43471,
-  "stiff</w>": 21441,
-  "stig": 4088,
-  "stig</w>": 42551,
-  "stigate</w>": 15390,
-  "stigma</w>": 20619,
-  "stik</w>": 42247,
-  "stil": 21790,
-  "stil</w>": 37519,
-  "stiles</w>": 33028,
-  "still": 13209,
-  "still</w>": 1170,
-  "stills</w>": 20259,
-  "stim": 18269,
-  "stime</w>": 24711,
-  "stimul": 16434,
-  "stimulate</w>": 42380,
-  "stimulating</w>": 41237,
-  "stimulation</w>": 39530,
-  "stimulus</w>": 47283,
-  "stin": 2588,
-  "stin</w>": 4025,
-  "stina</w>": 22359,
-  "stine</w>": 7098,
-  "sting": 19868,
-  "sting</w>": 1271,
-  "stingly</w>": 49332,
-  "stingray</w>": 43229,
-  "stink</w>": 38213,
-  "stinky</w>": 44957,
-  "stino</w>": 40658,
-  "stint</w>": 33531,
-  "stion</w>": 10812,
-  "stip": 39869,
-  "stips</w>": 44756,
-  "stique</w>": 43305,
-  "stir": 12416,
-  "stir</w>": 19564,
-  "stirling</w>": 23128,
-  "stirring</w>": 39205,
-  "stis</w>": 45224,
-  "stit": 14110,
-  "stitch": 30003,
-  "stitch</w>": 14771,
-  "stitched</w>": 36540,
-  "stitcher</w>": 48204,
-  "stitches</w>": 32360,
-  "stitching</w>": 45208,
-  "stitu": 14585,
-  "stitutes</w>": 40479,
-  "stive</w>": 22426,
-  "stix</w>": 48829,
-  "stjohn": 36153,
-  "stl": 14179,
-  "stl</w>": 12527,
-  "stlblues</w>": 44138,
-  "stlcards</w>": 28644,
-  "stle</w>": 7698,
-  "stles</w>": 48638,
-  "stlouis": 40358,
-  "stlouis</w>": 39516,
-  "stm</w>": 28333,
-  "stn</w>": 27175,
-  "sto": 928,
-  "sto</w>": 5723,
-  "stock": 5899,
-  "stock</w>": 3206,
-  "stocked</w>": 23552,
-  "stockholm</w>": 16024,
-  "stocki": 42944,
-  "stocking</w>": 17335,
-  "stockings</w>": 28040,
-  "stockmarket</w>": 40359,
-  "stockport</w>": 35569,
-  "stocks</w>": 9321,
-  "stockton</w>": 26130,
-  "stoday</w>": 22392,
-  "stok</w>": 43782,
-  "stoke": 31338,
-  "stoke</w>": 13550,
-  "stoked</w>": 13160,
-  "stokes</w>": 27512,
-  "stol": 11401,
-  "stol</w>": 6700,
-  "stole</w>": 10995,
-  "stolen</w>": 8704,
-  "stolic</w>": 45020,
-  "stom": 2343,
-  "stom</w>": 38068,
-  "stoma</w>": 43545,
-  "stomach</w>": 14722,
-  "stomp</w>": 40165,
-  "stomping</w>": 46144,
-  "ston": 4101,
-  "ston</w>": 1839,
-  "stone": 7694,
-  "stone</w>": 2441,
-  "stoned</w>": 36248,
-  "stonehenge</w>": 42417,
-  "stoner": 35131,
-  "stoner</w>": 29115,
-  "stones": 42659,
-  "stones</w>": 6885,
-  "stonewall</w>": 39688,
-  "stoney</w>": 44198,
-  "stony": 41717,
-  "stony</w>": 35691,
-  "stoo": 24505,
-  "stood</w>": 9151,
-  "stool": 34413,
-  "stool</w>": 22314,
-  "stop": 6005,
-  "stop</w>": 1691,
-  "stopbrexit</w>": 48680,
-  "stopp": 15738,
-  "stopped</w>": 6015,
-  "stopper</w>": 32147,
-  "stoppers</w>": 34457,
-  "stopping</w>": 10735,
-  "stops</w>": 9822,
-  "stopthe": 26463,
-  "stor": 809,
-  "stor</w>": 17740,
-  "storage</w>": 6824,
-  "store": 17769,
-  "store</w>": 2183,
-  "stored</w>": 28257,
-  "stores</w>": 6370,
-  "storey</w>": 24025,
-  "storians</w>": 34628,
-  "stories</w>": 3784,
-  "storing</w>": 40087,
-  "stork</w>": 46452,
-  "storm": 7434,
-  "storm</w>": 2819,
-  "stormed</w>": 45939,
-  "stormhour</w>": 12161,
-  "storming</w>": 24842,
-  "storms</w>": 6464,
-  "stormtrooper</w>": 49218,
-  "stormy</w>": 20075,
-  "stors</w>": 7178,
-  "story": 6512,
-  "story</w>": 1134,
-  "storyline</w>": 37079,
-  "storymonth</w>": 23717,
-  "storyteller</w>": 35882,
-  "storytelling</w>": 14457,
-  "storytime</w>": 44197,
-  "stos</w>": 19281,
-  "stou": 37168,
-  "stour": 37361,
-  "stour</w>": 21928,
-  "stout</w>": 16550,
-  "stove</w>": 21423,
-  "stow": 44284,
-  "stow</w>": 17046,
-  "stowe</w>": 34196,
-  "stown": 28071,
-  "stown</w>": 7939,
-  "stp</w>": 30576,
-  "stpatrick": 21343,
-  "stpatricksday</w>": 22747,
-  "str": 807,
-  "str</w>": 15913,
-  "stra": 1894,
-  "stra</w>": 6253,
-  "strack</w>": 46861,
-  "strada</w>": 31134,
-  "strade</w>": 48968,
-  "straigh": 31016,
-  "straight": 22114,
-  "straight</w>": 4241,
-  "strain</w>": 16887,
-  "strains</w>": 38067,
-  "strait</w>": 22946,
-  "straits</w>": 41984,
-  "stral</w>": 23289,
-  "stralia</w>": 42510,
-  "stran": 18411,
-  "strand": 18214,
-  "strand</w>": 17826,
-  "stranded</w>": 22975,
-  "strang": 11138,
-  "strange": 33380,
-  "strange</w>": 7288,
-  "strangely</w>": 37566,
-  "stranger": 35541,
-  "stranger</w>": 14149,
-  "strangers</w>": 20684,
-  "strangerthings</w>": 43271,
-  "strangest</w>": 46740,
-  "strap</w>": 13946,
-  "strapped</w>": 40922,
-  "straps</w>": 31213,
-  "stras": 36814,
-  "stras</w>": 42125,
-  "strasbourg</w>": 39576,
-  "strat": 11345,
-  "strat</w>": 32925,
-  "strata</w>": 47278,
-  "strate": 3532,
-  "strate</w>": 28758,
-  "strategi": 49102,
-  "strategic</w>": 10246,
-  "strategically</w>": 45706,
-  "strategies</w>": 9942,
-  "strategist</w>": 37180,
-  "strategy</w>": 5637,
-  "strates</w>": 45724,
-  "stratford</w>": 23955,
-  "strath": 21997,
-  "stration</w>": 3156,
-  "strato": 28878,
-  "strauss</w>": 32033,
-  "strava</w>": 34625,
-  "stravel</w>": 43494,
-  "straw": 7430,
-  "straw</w>": 16438,
-  "strawberries</w>": 17796,
-  "strawberry</w>": 10233,
-  "straws</w>": 33048,
-  "stray": 30784,
-  "stray</w>": 15712,
-  "stre": 1079,
-  "stre</w>": 19652,
-  "stread</w>": 27797,
-  "streak</w>": 11749,
-  "streaks</w>": 42092,
-  "stream": 8659,
-  "stream</w>": 3322,
-  "streamed</w>": 26280,
-  "streamer</w>": 25178,
-  "streamers</w>": 19937,
-  "streaming</w>": 6278,
-  "streamline</w>": 44917,
-  "streams</w>": 13545,
-  "stree": 35082,
-  "stree</w>": 32438,
-  "streep</w>": 38701,
-  "street": 4839,
-  "street</w>": 2012,
-  "streetart</w>": 12948,
-  "streetcar</w>": 34268,
-  "streetfood</w>": 44486,
-  "streetphotography</w>": 20786,
-  "streets</w>": 6058,
-  "streetstyle</w>": 39118,
-  "streetwear</w>": 37298,
-  "strel</w>": 39685,
-  "stren": 4349,
-  "streng": 4472,
-  "strength": 15475,
-  "strength</w>": 5959,
-  "strengthen</w>": 16318,
-  "strengthened</w>": 47131,
-  "strengthening</w>": 23475,
-  "strengthens</w>": 40280,
-  "strengths</w>": 29268,
-  "stress": 17297,
-  "stress</w>": 5843,
-  "stressed</w>": 16497,
-  "stresses</w>": 32112,
-  "stressful</w>": 24268,
-  "stressing</w>": 35917,
-  "stret": 12265,
-  "stretch</w>": 10064,
-  "stretched</w>": 29393,
-  "stretches</w>": 32231,
-  "stretching</w>": 24423,
-  "stri": 1493,
-  "stri</w>": 27795,
-  "stria</w>": 39620,
-  "strial</w>": 30217,
-  "strian</w>": 12924,
-  "stric": 2607,
-  "strick": 25181,
-  "strickland</w>": 48939,
-  "strict</w>": 21585,
-  "strictly</w>": 16475,
-  "stride</w>": 36024,
-  "strides</w>": 37355,
-  "stries</w>": 18171,
-  "strife</w>": 46473,
-  "strike": 20774,
-  "strike</w>": 5767,
-  "striker</w>": 12448,
-  "strikers</w>": 33465,
-  "strikes</w>": 9280,
-  "striking</w>": 13392,
-  "string": 25512,
-  "string</w>": 9696,
-  "strings</w>": 15699,
-  "strip</w>": 9317,
-  "stripe</w>": 19368,
-  "striped</w>": 22192,
-  "stripes</w>": 14239,
-  "stripped</w>": 26602,
-  "stripper</w>": 45759,
-  "stripping</w>": 48588,
-  "strips</w>": 19000,
-  "strive</w>": 22140,
-  "striving</w>": 37671,
-  "stro": 3121,
-  "stro</w>": 6186,
-  "stroke": 44621,
-  "stroke</w>": 10403,
-  "strokes</w>": 26595,
-  "strol": 30123,
-  "stroll</w>": 15924,
-  "stroller</w>": 47076,
-  "strolling</w>": 40911,
-  "strom</w>": 14707,
-  "stron": 4165,
-  "strong": 10436,
-  "strong</w>": 2389,
-  "stronger": 27760,
-  "stronger</w>": 9245,
-  "strongertogether</w>": 38532,
-  "strongest</w>": 16171,
-  "strongh": 38678,
-  "strongly</w>": 15507,
-  "strophy</w>": 47912,
-  "strou": 48425,
-  "stroud</w>": 39895,
-  "strous</w>": 23752,
-  "stru": 1666,
-  "struc": 3311,
-  "struck</w>": 10861,
-  "struction</w>": 12497,
-  "structural</w>": 16899,
-  "structure</w>": 5285,
-  "structured</w>": 27147,
-  "structures</w>": 14171,
-  "structuring</w>": 37496,
-  "strugg": 5176,
-  "struggle</w>": 8443,
-  "struggled</w>": 32921,
-  "struggles</w>": 17446,
-  "struggling</w>": 12135,
-  "struly": 34118,
-  "strum</w>": 37632,
-  "strung</w>": 46033,
-  "strust</w>": 23920,
-  "strut</w>": 48375,
-  "stry": 17325,
-  "stry</w>": 2245,
-  "sts</w>": 1088,
-  "stu": 858,
-  "stu</w>": 23531,
-  "stuart": 32054,
-  "stuart</w>": 11723,
-  "stub": 27066,
-  "stubborn</w>": 38955,
-  "stuck</w>": 6596,
-  "stud": 22368,
-  "stud</w>": 13319,
-  "studded</w>": 29153,
-  "studen": 44156,
-  "student": 14681,
-  "student</w>": 2556,
-  "students</w>": 1712,
-  "studi": 5691,
-  "studied</w>": 21369,
-  "studies</w>": 6426,
-  "studio": 17798,
-  "studio</w>": 3155,
-  "studios</w>": 6231,
-  "studs</w>": 27571,
-  "study": 21051,
-  "study</w>": 3123,
-  "studyabroad</w>": 45425,
-  "studying</w>": 8826,
-  "stuff": 46072,
-  "stuff</w>": 3487,
-  "stuffed</w>": 11781,
-  "stuffing</w>": 31612,
-  "stuffs</w>": 43455,
-  "stuk</w>": 32424,
-  "stumb": 16784,
-  "stumble</w>": 39045,
-  "stumbled</w>": 21776,
-  "stump</w>": 32064,
-  "stun": 3088,
-  "stun</w>": 37959,
-  "stunned</w>": 34034,
-  "stunner</w>": 29965,
-  "stunning</w>": 3769,
-  "stunningly</w>": 47515,
-  "stuns</w>": 43796,
-  "stunt</w>": 19905,
-  "stunts</w>": 40118,
-  "stupi": 18975,
-  "stupid": 42600,
-  "stupid</w>": 8085,
-  "stupidity</w>": 33766,
-  "stur": 10676,
-  "sturdy</w>": 43780,
-  "stures</w>": 27223,
-  "sturgeon</w>": 31580,
-  "sturi": 21747,
-  "sturridge</w>": 45331,
-  "stutt": 30444,
-  "stuttgart</w>": 32219,
-  "stv": 27060,
-  "stv</w>": 9708,
-  "stweet</w>": 46832,
-  "stweets</w>": 39174,
-  "stx</w>": 42548,
-  "sty": 1421,
-  "sty</w>": 2920,
-  "style": 12356,
-  "style</w>": 1844,
-  "styled</w>": 17974,
-  "styles</w>": 6948,
-  "styli": 38577,
-  "styling</w>": 14597,
-  "stylish</w>": 10378,
-  "stylist</w>": 15928,
-  "styn</w>": 41394,
-  "su": 605,
-  "su</w>": 2937,
-  "sua</w>": 42448,
-  "suarez</w>": 21437,
-  "suave</w>": 47305,
-  "sub": 1783,
-  "sub</w>": 7765,
-  "subaru</w>": 21319,
-  "subjec": 16090,
-  "subject</w>": 10300,
-  "subjects</w>": 22099,
-  "subli": 16350,
-  "sublime</w>": 22367,
-  "submarine</w>": 19968,
-  "submer": 27156,
-  "submerged</w>": 43171,
-  "submission</w>": 16571,
-  "submissions</w>": 21566,
-  "submit</w>": 10423,
-  "submitted</w>": 15189,
-  "submitting</w>": 38788,
-  "subram": 49207,
-  "subs</w>": 16398,
-  "subscri": 5838,
-  "subscribe</w>": 9839,
-  "subscribed</w>": 44867,
-  "subscriber</w>": 36292,
-  "subscribers</w>": 17337,
-  "subscription</w>": 17979,
-  "subscriptions</w>": 47162,
-  "subsequ": 33598,
-  "subsequent</w>": 44323,
-  "subsi": 14856,
-  "subsidi": 45029,
-  "subsidiary</w>": 45506,
-  "subsidies</w>": 37685,
-  "subsidy</w>": 47462,
-  "substan": 17487,
-  "substance</w>": 19309,
-  "substances</w>": 36834,
-  "substantial</w>": 27171,
-  "substantially</w>": 47577,
-  "substitu": 18529,
-  "substitute</w>": 25340,
-  "subtitles</w>": 39479,
-  "subtle</w>": 16536,
-  "subur": 12517,
-  "suburb</w>": 37664,
-  "suburban</w>": 23570,
-  "suburbs</w>": 25317,
-  "subway</w>": 12196,
-  "suc": 1869,
-  "succe": 7981,
-  "succeed</w>": 13556,
-  "succeeded</w>": 41077,
-  "succes": 39019,
-  "success": 3695,
-  "success</w>": 3034,
-  "successes</w>": 29436,
-  "successful</w>": 4670,
-  "successfully</w>": 9934,
-  "succession</w>": 38491,
-  "successive</w>": 41319,
-  "successor</w>": 34774,
-  "succu": 45253,
-  "succul": 25671,
-  "succulent</w>": 35236,
-  "such</w>": 2046,
-  "suction</w>": 42786,
-  "sud": 8067,
-  "sud</w>": 33714,
-  "sudan": 31149,
-  "sudan</w>": 13474,
-  "sudanese</w>": 42837,
-  "sudbury</w>": 32488,
-  "sudden": 10833,
-  "sudden</w>": 15433,
-  "suddenly</w>": 11076,
-  "sue": 14045,
-  "sue</w>": 6641,
-  "sued</w>": 22225,
-  "suede</w>": 21036,
-  "sues</w>": 17105,
-  "suf": 21204,
-  "suf</w>": 22579,
-  "sufc</w>": 37091,
-  "suff": 4866,
-  "suffe": 13510,
-  "suffer</w>": 13557,
-  "suffered</w>": 14766,
-  "suffering</w>": 10140,
-  "suffers</w>": 22389,
-  "sufficient</w>": 28410,
-  "suffol": 13775,
-  "suffolk": 46408,
-  "suffolk</w>": 15685,
-  "suffra": 34596,
-  "suffrage</w>": 39567,
-  "sufi</w>": 39756,
-  "sug": 3189,
-  "suga</w>": 28757,
-  "sugar": 12418,
-  "sugar</w>": 5574,
-  "sugge": 6345,
-  "suggest</w>": 13356,
-  "suggested</w>": 18790,
-  "suggesti": 15033,
-  "suggesting</w>": 29792,
-  "suggestion</w>": 23741,
-  "suggestions</w>": 16052,
-  "suggests</w>": 13333,
-  "suho</w>": 32744,
-  "sui</w>": 24972,
-  "suici": 16372,
-  "suicidal</w>": 37165,
-  "suicide": 31310,
-  "suicide</w>": 8247,
-  "suing</w>": 18309,
-  "suisse</w>": 35964,
-  "suit": 11887,
-  "suit</w>": 3940,
-  "suitable</w>": 17476,
-  "suitcase</w>": 27792,
-  "suite</w>": 9346,
-  "suited</w>": 25919,
-  "suites</w>": 21523,
-  "suits</w>": 9949,
-  "suk": 24820,
-  "suk</w>": 6886,
-  "suka</w>": 44017,
-  "suke</w>": 25590,
-  "sukh": 46961,
-  "suki</w>": 32704,
-  "sul": 1767,
-  "sul</w>": 19879,
-  "sula": 34713,
-  "sula</w>": 26143,
-  "sullivan</w>": 14477,
-  "sully</w>": 37752,
-  "sulph": 37234,
-  "sulphur</w>": 47659,
-  "sultan": 35650,
-  "sultan</w>": 17049,
-  "sum": 7054,
-  "sum</w>": 8257,
-  "suma</w>": 47938,
-  "sumat": 32640,
-  "sumatra</w>": 47346,
-  "sume</w>": 45457,
-  "sumi</w>": 41248,
-  "summ": 1309,
-  "summar": 34657,
-  "summari": 31993,
-  "summary</w>": 13435,
-  "summed</w>": 34912,
-  "summer": 5500,
-  "summer</w>": 1673,
-  "summers</w>": 18254,
-  "summerslam</w>": 40264,
-  "summertime</w>": 19025,
-  "summit": 30011,
-  "summit</w>": 3768,
-  "summon": 27622,
-  "summon</w>": 39782,
-  "sumner</w>": 46813,
-  "sumo</w>": 33734,
-  "sump": 34252,
-  "sumptuous</w>": 47354,
-  "sums</w>": 13325,
-  "sun": 968,
-  "sun</w>": 2176,
-  "sunbathing</w>": 46994,
-  "sunburn</w>": 45767,
-  "sund</w>": 40735,
-  "sundae</w>": 38078,
-  "sundance</w>": 24128,
-  "sundar": 44936,
-  "sunday": 6649,
-  "sunday</w>": 1706,
-  "sundayfunday</w>": 21565,
-  "sundaymorning</w>": 24809,
-  "sundaymotivation</w>": 46227,
-  "sundays</w>": 15827,
-  "sundaywith": 26469,
-  "sundaywithmarsha</w>": 26662,
-  "sunder": 15097,
-  "sunderland": 45727,
-  "sunderland</w>": 18851,
-  "sundown</w>": 44438,
-  "sune</w>": 41096,
-  "sunflower</w>": 21559,
-  "sunflowers</w>": 39809,
-  "sung": 16903,
-  "sung</w>": 6047,
-  "sunglasses</w>": 12906,
-  "suni": 17663,
-  "suni</w>": 47010,
-  "sunil</w>": 32861,
-  "sunite</w>": 21382,
-  "sunited</w>": 35276,
-  "sunk</w>": 37534,
-  "sunken</w>": 43473,
-  "sunlight</w>": 17996,
-  "sunni</w>": 44315,
-  "sunny": 15632,
-  "sunny</w>": 5438,
-  "sunrise</w>": 5610,
-  "suns</w>": 18322,
-  "sunscreen</w>": 29355,
-  "sunset": 37880,
-  "sunset</w>": 3424,
-  "sunsets</w>": 17721,
-  "sunshine": 32761,
-  "sunshine</w>": 5385,
-  "suny</w>": 41308,
-  "sup": 19078,
-  "sup</w>": 8249,
-  "supdates</w>": 24177,
-  "super": 1642,
-  "super</w>": 1994,
-  "superb</w>": 8930,
-  "superbike</w>": 45709,
-  "superbowl": 47461,
-  "superbowl</w>": 16467,
-  "supercar</w>": 27021,
-  "supercars</w>": 32185,
-  "supercell</w>": 43227,
-  "supercharged</w>": 47479,
-  "supere": 46831,
-  "superfood</w>": 41715,
-  "supergirl</w>": 25771,
-  "superhero</w>": 14049,
-  "superheroes</w>": 23334,
-  "superint": 17615,
-  "superintendent</w>": 19020,
-  "superior</w>": 13205,
-  "superjunior</w>": 40475,
-  "superleague</w>": 45539,
-  "superman</w>": 11237,
-  "supermarket</w>": 19897,
-  "supermarkets</w>": 45106,
-  "supermodel</w>": 41963,
-  "supermoon</w>": 36571,
-  "supernatural</w>": 15484,
-  "supernova</w>": 39843,
-  "superrugby</w>": 48717,
-  "supersonic</w>": 42019,
-  "supersport</w>": 46319,
-  "superst": 38202,
-  "superstar": 32551,
-  "superstar</w>": 10472,
-  "superstars</w>": 25797,
-  "supervis": 12709,
-  "supervised</w>": 41316,
-  "supervision</w>": 36234,
-  "supervisor</w>": 20366,
-  "supervisors</w>": 37958,
-  "superyacht</w>": 42714,
-  "supp": 1023,
-  "supper</w>": 15727,
-  "supple": 31431,
-  "supplement</w>": 19924,
-  "supplements</w>": 21265,
-  "supplied</w>": 24106,
-  "supplier</w>": 18043,
-  "suppliers</w>": 24196,
-  "supplies</w>": 9384,
-  "supply": 25074,
-  "supply</w>": 6389,
-  "supplychain</w>": 31224,
-  "supplying</w>": 32739,
-  "suppo": 6941,
-  "suppor": 2104,
-  "support": 12062,
-  "support</w>": 1425,
-  "supported</w>": 8038,
-  "supporter</w>": 12992,
-  "supporters</w>": 7403,
-  "supportindiefilm</w>": 43976,
-  "supporting</w>": 3976,
-  "supportive</w>": 18313,
-  "supportlocal</w>": 43852,
-  "supports</w>": 8336,
-  "supportsmall": 30941,
-  "supportsmallstreamers</w>": 36097,
-  "suppose</w>": 18924,
-  "supposed</w>": 9119,
-  "supposedly</w>": 32302,
-  "suppre": 20542,
-  "suppression</w>": 36508,
-  "supra</w>": 48485,
-  "supre": 5875,
-  "supremac": 28643,
-  "supremacist</w>": 39005,
-  "supremacy</w>": 28913,
-  "supreme": 35222,
-  "supreme</w>": 7468,
-  "supt</w>": 23625,
-  "sur": 1090,
-  "sur</w>": 7123,
-  "sura": 33412,
-  "sura</w>": 49125,
-  "surabaya</w>": 45227,
-  "surance</w>": 22184,
-  "surat</w>": 30201,
-  "sure": 14320,
-  "sure</w>": 1650,
-  "sured</w>": 36869,
-  "surely</w>": 11409,
-  "sures</w>": 12725,
-  "suresh": 32118,
-  "suresh</w>": 31464,
-  "sureshpp": 41924,
-  "sureshpprabhu</w>": 42050,
-  "surf": 10176,
-  "surf</w>": 10322,
-  "surface</w>": 7744,
-  "surfaces</w>": 20746,
-  "surfer</w>": 24925,
-  "surfers</w>": 34842,
-  "surfing</w>": 15762,
-  "surg": 13045,
-  "surge</w>": 17457,
-  "surgeon</w>": 16039,
-  "surgeons</w>": 26000,
-  "surger": 5122,
-  "surgeries</w>": 34940,
-  "surgery</w>": 5344,
-  "surgical</w>": 16386,
-  "suri": 14130,
-  "suri</w>": 33952,
-  "suring</w>": 16817,
-  "suriya</w>": 17832,
-  "surpass</w>": 45494,
-  "surpassed</w>": 25648,
-  "surplus</w>": 29413,
-  "surpri": 3244,
-  "surprise</w>": 5099,
-  "surprised</w>": 8949,
-  "surprises</w>": 16920,
-  "surprising</w>": 14964,
-  "surprisingly</w>": 17367,
-  "surreal</w>": 18408,
-  "surrealism</w>": 41773,
-  "surrender</w>": 20964,
-  "surrendered</w>": 44601,
-  "surrey": 26489,
-  "surrey</w>": 14315,
-  "surro": 47499,
-  "surroun": 8250,
-  "surround": 26543,
-  "surround</w>": 22999,
-  "surrounded</w>": 13589,
-  "surrounding</w>": 12544,
-  "surroundings</w>": 26915,
-  "surrounds</w>": 39012,
-  "suru</w>": 49240,
-  "surve": 8952,
-  "surveill": 15408,
-  "surveillance</w>": 15578,
-  "survey": 45914,
-  "survey</w>": 6809,
-  "surveying</w>": 33085,
-  "surveys</w>": 25096,
-  "survi": 3440,
-  "surviv": 12922,
-  "survival</w>": 10172,
-  "survive</w>": 10431,
-  "survived</w>": 13483,
-  "survives</w>": 30927,
-  "surviving</w>": 18609,
-  "survivor": 31934,
-  "survivor</w>": 10944,
-  "survivors</w>": 13711,
-  "surya</w>": 37767,
-  "sus": 8091,
-  "sus</w>": 3036,
-  "susa</w>": 20546,
-  "susan": 19922,
-  "susan</w>": 10168,
-  "suscep": 44270,
-  "sush": 22298,
-  "sushi</w>": 11729,
-  "sushmaswar": 48200,
-  "susie</w>": 32284,
-  "susp": 7971,
-  "suspec": 10298,
-  "suspect</w>": 9065,
-  "suspected</w>": 15579,
-  "suspects</w>": 18265,
-  "suspen": 10578,
-  "suspend</w>": 41007,
-  "suspended</w>": 13126,
-  "suspends</w>": 39535,
-  "suspense</w>": 21556,
-  "suspension</w>": 15417,
-  "suspici": 25714,
-  "suspicion</w>": 34910,
-  "suspicious</w>": 19862,
-  "sussex": 31244,
-  "sussex</w>": 13266,
-  "sustain": 4644,
-  "sustain</w>": 28156,
-  "sustainability</w>": 9635,
-  "sustainable": 23645,
-  "sustainable</w>": 7078,
-  "sustained</w>": 22699,
-  "sustaining</w>": 44418,
-  "sut": 23984,
-  "sut</w>": 28956,
-  "sutherland</w>": 27592,
-  "sutton": 39359,
-  "sutton</w>": 18564,
-  "suv</w>": 15985,
-  "suz": 9957,
-  "suzanne</w>": 24617,
-  "suzu": 36289,
-  "suzuki</w>": 16892,
-  "suzy</w>": 26552,
-  "sv": 6508,
-  "sv</w>": 17083,
-  "svc</w>": 45065,
-  "sve": 47637,
-  "sven": 37786,
-  "sven</w>": 45183,
-  "sver": 45923,
-  "sville": 44580,
-  "sville</w>": 6741,
-  "svp</w>": 28465,
-  "svt</w>": 42014,
-  "svu</w>": 32123,
-  "sw": 1220,
-  "sw</w>": 4457,
-  "swa": 4707,
-  "swa</w>": 31916,
-  "swach": 20862,
-  "swachhb": 31898,
-  "swachhbharat</w>": 36927,
-  "swag": 8852,
-  "swag</w>": 8177,
-  "swagg</w>": 47702,
-  "swagger</w>": 35797,
-  "swain</w>": 43226,
-  "swal": 13433,
-  "swallow</w>": 28979,
-  "swallowed</w>": 46956,
-  "swallows</w>": 45124,
-  "swam</w>": 42539,
-  "swami</w>": 25021,
-  "swamp": 41953,
-  "swamp</w>": 16595,
-  "swamy</w>": 28445,
-  "swan": 8215,
-  "swan</w>": 12530,
-  "swana</w>": 24699,
-  "swans</w>": 19516,
-  "swansea</w>": 16567,
-  "swanson</w>": 34797,
-  "swap</w>": 15234,
-  "swapped</w>": 39077,
-  "swapping</w>": 44702,
-  "swaps</w>": 49242,
-  "swar": 11680,
-  "swarm</w>": 31577,
-  "swarovski</w>": 28515,
-  "swat": 32547,
-  "swat</w>": 26482,
-  "swatch</w>": 48053,
-  "sway": 26443,
-  "sway</w>": 26617,
-  "swc</w>": 42231,
-  "swe": 2350,
-  "swe</w>": 38070,
-  "swear</w>": 7406,
-  "swearing</w>": 32627,
-  "sweat": 10282,
-  "sweat</w>": 12663,
-  "sweater</w>": 11455,
-  "sweaters</w>": 31303,
-  "sweating</w>": 33215,
-  "sweats</w>": 39321,
-  "sweatshirt</w>": 22442,
-  "sweaty</w>": 28419,
-  "sweden</w>": 8760,
-  "swedish</w>": 11585,
-  "swee": 1812,
-  "sweek</w>": 30017,
-  "sweeney</w>": 27286,
-  "sweep": 23220,
-  "sweep</w>": 13669,
-  "sweeping</w>": 25719,
-  "sweeps</w>": 26887,
-  "sweepstakes</w>": 25992,
-  "sweet": 10957,
-  "sweet</w>": 2418,
-  "sweetened</w>": 45577,
-  "sweeter</w>": 32873,
-  "sweetest</w>": 15180,
-  "sweethe": 16316,
-  "sweetheart</w>": 18079,
-  "sweetie</w>": 24450,
-  "sweetness</w>": 29713,
-  "sweets</w>": 18045,
-  "swel": 48470,
-  "swell": 35538,
-  "swell</w>": 21490,
-  "swelling</w>": 46578,
-  "swept</w>": 23311,
-  "swer": 30514,
-  "swfc</w>": 30227,
-  "swfl</w>": 46607,
-  "swi": 3881,
-  "swi</w>": 45223,
-  "swick</w>": 17159,
-  "swif": 28548,
-  "swift": 34843,
-  "swift</w>": 8229,
-  "swild": 33909,
-  "swild</w>": 38696,
-  "swildlife</w>": 46818,
-  "swim": 4928,
-  "swim</w>": 7681,
-  "swimmer</w>": 25475,
-  "swimmers</w>": 27776,
-  "swimming</w>": 7411,
-  "swims</w>": 46798,
-  "swimsuit</w>": 25504,
-  "swimwear</w>": 31889,
-  "swin": 14554,
-  "swin</w>": 40798,
-  "swindon</w>": 29540,
-  "swine</w>": 31166,
-  "swing": 25292,
-  "swing</w>": 7429,
-  "swinging</w>": 26760,
-  "swings</w>": 29141,
-  "swipe</w>": 31828,
-  "swire</w>": 42753,
-  "swirl</w>": 35795,
-  "swis": 23611,
-  "swish</w>": 38571,
-  "swiss": 37917,
-  "swiss</w>": 9287,
-  "swit": 3726,
-  "switch": 22480,
-  "switch</w>": 5893,
-  "switched</w>": 22869,
-  "switches</w>": 33569,
-  "switching</w>": 21155,
-  "swith": 17299,
-  "switzer": 9835,
-  "switzerland</w>": 9912,
-  "swivel</w>": 48256,
-  "swo": 38673,
-  "swol": 29575,
-  "swollen</w>": 36129,
-  "swoo": 29744,
-  "swood</w>": 24158,
-  "swoon</w>": 37028,
-  "swoop</w>": 45661,
-  "sword": 33294,
-  "sword</w>": 11356,
-  "swords</w>": 27181,
-  "swork</w>": 42722,
-  "sworld</w>": 33305,
-  "sworn</w>": 21130,
-  "sworth</w>": 13322,
-  "swt</w>": 38878,
-  "swx</w>": 20597,
-  "sx": 9402,
-  "sx</w>": 17806,
-  "sxsw</w>": 13369,
-  "sy": 974,
-  "sy</w>": 2126,
-  "sya</w>": 35017,
-  "sycam": 34911,
-  "sycamore</w>": 43086,
-  "syd": 4525,
-  "syd</w>": 22504,
-  "sydney": 15878,
-  "sydney</w>": 5278,
-  "syed</w>": 27624,
-  "syfy</w>": 32047,
-  "sykes</w>": 27287,
-  "syl": 6452,
-  "sylla": 41708,
-  "sylvania</w>": 12011,
-  "sylve": 28369,
-  "sylvester</w>": 37214,
-  "sylvia</w>": 25670,
-  "sym": 3645,
-  "sym</w>": 40327,
-  "symb": 22987,
-  "symbol</w>": 13085,
-  "symboli": 22019,
-  "symbolic</w>": 33177,
-  "symbolism</w>": 44679,
-  "symbols</w>": 25476,
-  "symmetry</w>": 31427,
-  "symp": 11468,
-  "sympathi": 47493,
-  "sympathy</w>": 32477,
-  "symph": 9544,
-  "symphonic</w>": 42639,
-  "symphony</w>": 11180,
-  "sympo": 9730,
-  "symposium</w>": 9971,
-  "symptom</w>": 47799,
-  "symptoms</w>": 12956,
-  "syn": 3758,
-  "syn</w>": 36090,
-  "synago": 30945,
-  "synagogue</w>": 33518,
-  "sync</w>": 20081,
-  "synchron": 23943,
-  "syndic": 21098,
-  "syndicate</w>": 28779,
-  "syndrome</w>": 10927,
-  "syner": 22283,
-  "synergy</w>": 32012,
-  "syno": 31533,
-  "synod</w>": 47712,
-  "synopsis</w>": 47018,
-  "synth": 33841,
-  "synth</w>": 24462,
-  "synthe": 22604,
-  "synthesi": 33565,
-  "synthesis</w>": 21602,
-  "synthesizer</w>": 44077,
-  "synthetic</w>": 19917,
-  "syou": 26742,
-  "syour": 21718,
-  "syrac": 17279,
-  "syracuse</w>": 19640,
-  "syrah</w>": 45364,
-  "syri": 18917,
-  "syria</w>": 5563,
-  "syrian": 47562,
-  "syrian</w>": 10041,
-  "syrians</w>": 41392,
-  "syrup</w>": 16611,
-  "sys</w>": 26726,
-  "syste": 1933,
-  "system": 47813,
-  "system</w>": 2422,
-  "systematic</w>": 28586,
-  "systemic</w>": 33807,
-  "systems</w>": 4828,
-  "sz": 13438,
-  "sz</w>": 15879,
-  "sze": 44507,
-  "szn</w>": 48092,
-  "são</w>": 45911,
-  "sé": 37879,
-  "t": 83,
-  "t</w>": 339,
-  "ta": 648,
-  "ta</w>": 1397,
-  "taa</w>": 43874,
-  "tab": 2648,
-  "tab</w>": 14724,
-  "tabby</w>": 36145,
-  "tabern": 48991,
-  "tability</w>": 15770,
-  "table": 12108,
-  "table</w>": 2175,
-  "tableau</w>": 39723,
-  "tables</w>": 7822,
-  "tablet</w>": 12494,
-  "tabletop": 46843,
-  "tabletop</w>": 25773,
-  "tablets</w>": 20436,
-  "tably</w>": 24440,
-  "taboo</w>": 38400,
-  "tabs</w>": 29163,
-  "tac": 3145,
-  "tac</w>": 22653,
-  "tache</w>": 39239,
-  "tack": 6339,
-  "tack</w>": 34446,
-  "tackle</w>": 10294,
-  "tackled</w>": 47218,
-  "tackles</w>": 18021,
-  "tackling</w>": 19628,
-  "taco": 31924,
-  "taco</w>": 12436,
-  "tacoma</w>": 25397,
-  "tacos</w>": 14090,
-  "tactic</w>": 40377,
-  "tactical</w>": 17137,
-  "tactics</w>": 16410,
-  "tacular</w>": 48985,
-  "tad": 15890,
-  "tad</w>": 19860,
-  "tado</w>": 40846,
-  "tae": 15257,
-  "tae</w>": 15580,
-  "taehyung</w>": 24642,
-  "taek": 30753,
-  "taekwondo</w>": 39963,
-  "taemin</w>": 30600,
-  "taeyang</w>": 45802,
-  "taeyeon</w>": 27389,
-  "taf": 29660,
-  "taft</w>": 42141,
-  "tag": 3456,
-  "tag</w>": 3640,
-  "tage</w>": 2669,
-  "tages</w>": 39902,
-  "tagged</w>": 12969,
-  "tagging</w>": 25138,
-  "tagne</w>": 47467,
-  "tags</w>": 11606,
-  "tah": 14822,
-  "tah</w>": 7090,
-  "tahit": 45385,
-  "tahoe</w>": 26140,
-  "tai": 6511,
-  "tai</w>": 13040,
-  "taiji</w>": 30185,
-  "tail": 7156,
-  "tail</w>": 4132,
-  "tailed</w>": 20626,
-  "tailgate</w>": 23168,
-  "tailgating</w>": 42625,
-  "tailo": 27230,
-  "tailor</w>": 29870,
-  "tailored</w>": 28275,
-  "tailoring</w>": 46357,
-  "tails</w>": 16066,
-  "tain": 2841,
-  "tain</w>": 1908,
-  "taine": 21214,
-  "taine</w>": 32299,
-  "tained</w>": 10212,
-  "taining</w>": 7565,
-  "tainment</w>": 30063,
-  "tains</w>": 3952,
-  "tainted</w>": 47211,
-  "taipei</w>": 24356,
-  "tair": 29143,
-  "tairp</w>": 43707,
-  "tait</w>": 45325,
-  "taiwan": 36319,
-  "taiwan</w>": 12626,
-  "taiwanese</w>": 41416,
-  "taj": 28937,
-  "taj</w>": 24805,
-  "taji": 46358,
-  "tak": 15070,
-  "tak</w>": 14458,
-  "taka": 24070,
-  "taka</w>": 40968,
-  "take": 5052,
-  "take</w>": 1172,
-  "takeaway</w>": 25737,
-  "takeaways</w>": 32080,
-  "takeme": 41748,
-  "taken</w>": 2807,
-  "takeoff</w>": 32789,
-  "takeover</w>": 11863,
-  "taker</w>": 17939,
-  "takers</w>": 30775,
-  "takes</w>": 2633,
-  "takin</w>": 30890,
-  "taking</w>": 2019,
-  "taku</w>": 48168,
-  "tal": 976,
-  "tal</w>": 2066,
-  "tala</w>": 29845,
-  "talaga</w>": 35349,
-  "talbot</w>": 30585,
-  "tale": 33971,
-  "tale</w>": 7798,
-  "talent": 30435,
-  "talent</w>": 5114,
-  "talented</w>": 5331,
-  "talents</w>": 16136,
-  "tales</w>": 9469,
-  "tali": 12122,
-  "tali</w>": 45406,
-  "taliban</w>": 20788,
-  "talis": 36480,
-  "tality</w>": 15631,
-  "talk": 12462,
-  "talk</w>": 1841,
-  "talked</w>": 10153,
-  "talkin</w>": 26040,
-  "talking": 31463,
-  "talking</w>": 2578,
-  "talks</w>": 3237,
-  "tall": 11664,
-  "tall</w>": 7771,
-  "talla": 21528,
-  "tallade": 44220,
-  "tallahassee</w>": 37832,
-  "taller</w>": 23470,
-  "tallest</w>": 19774,
-  "tallinn</w>": 45079,
-  "tally</w>": 16323,
-  "talon</w>": 47897,
-  "tam": 2661,
-  "tam</w>": 12246,
-  "tama</w>": 45424,
-  "tamanna": 48055,
-  "tamar": 22901,
-  "tamara</w>": 35697,
-  "tame": 38557,
-  "tame</w>": 32778,
-  "tamed</w>": 40575,
-  "tami</w>": 39429,
-  "tamil": 23046,
-  "tamil</w>": 14033,
-  "tamilnadu</w>": 32371,
-  "tamine</w>": 42566,
-  "tammy</w>": 28396,
-  "tampa</w>": 10906,
-  "tampab": 37852,
-  "tamu</w>": 34105,
-  "tan": 2123,
-  "tan</w>": 5039,
-  "tana</w>": 21396,
-  "tand": 20244,
-  "tandem</w>": 33756,
-  "tane": 13344,
-  "tane</w>": 24923,
-  "taneous</w>": 22275,
-  "taneously</w>": 24422,
-  "tang": 10425,
-  "tang</w>": 20794,
-  "tanger": 31844,
-  "tangerine</w>": 42045,
-  "tangible</w>": 44823,
-  "tangle</w>": 36568,
-  "tangled</w>": 33587,
-  "tango</w>": 24089,
-  "tani": 31374,
-  "tani</w>": 32985,
-  "tania</w>": 45369,
-  "tank": 29858,
-  "tank</w>": 6172,
-  "tanker</w>": 25020,
-  "tanks</w>": 14223,
-  "tann": 19174,
-  "tanner</w>": 22001,
-  "tanning</w>": 27985,
-  "tans</w>": 27332,
-  "tant": 41383,
-  "tant</w>": 41695,
-  "tante</w>": 48262,
-  "tanto</w>": 45685,
-  "tany": 34410,
-  "tanya</w>": 26800,
-  "tanz": 47399,
-  "tanzania</w>": 15711,
-  "tao": 29084,
-  "tao</w>": 18923,
-  "tap": 17923,
-  "tap</w>": 7888,
-  "tapas</w>": 27361,
-  "tape": 18332,
-  "tape</w>": 5749,
-  "taped</w>": 33219,
-  "tapes</w>": 17903,
-  "tapestry</w>": 33525,
-  "taping</w>": 24355,
-  "tapp": 27644,
-  "tapp</w>": 27764,
-  "tapped</w>": 26649,
-  "tapping</w>": 27882,
-  "tapro": 34415,
-  "taproom</w>": 40266,
-  "taps</w>": 23267,
-  "tar": 2002,
-  "tar</w>": 6977,
-  "tara</w>": 15264,
-  "tarak</w>": 37813,
-  "taran": 32370,
-  "tarantino</w>": 41180,
-  "tarde</w>": 48670,
-  "tardis</w>": 35410,
-  "tares</w>": 34587,
-  "targe": 9620,
-  "target": 38556,
-  "target</w>": 5400,
-  "targeted</w>": 14968,
-  "targeting</w>": 15818,
-  "targets</w>": 12468,
-  "tari": 4238,
-  "tari</w>": 38012,
-  "tarian</w>": 11762,
-  "tarians</w>": 42789,
-  "taries</w>": 47291,
-  "tariff</w>": 40220,
-  "tariffs</w>": 28335,
-  "tariq</w>": 42526,
-  "tarmac</w>": 44294,
-  "taro</w>": 26264,
-  "tarot</w>": 23702,
-  "tart": 16707,
-  "tart</w>": 14120,
-  "tartan</w>": 35064,
-  "tarts</w>": 29799,
-  "tary": 31729,
-  "tary</w>": 5065,
-  "tarzan</w>": 45463,
-  "tas": 6538,
-  "tas</w>": 10163,
-  "tash": 35272,
-  "tasha</w>": 44967,
-  "task": 39189,
-  "task</w>": 10549,
-  "tasks</w>": 19453,
-  "tasmania</w>": 22429,
-  "tasmanian</w>": 45102,
-  "tassel</w>": 49276,
-  "tast": 10839,
-  "taste": 14314,
-  "taste</w>": 5219,
-  "tasted</w>": 22827,
-  "tasteof": 38097,
-  "taster</w>": 29743,
-  "tastes</w>": 13736,
-  "tastic</w>": 21337,
-  "tasting</w>": 7656,
-  "tastings</w>": 49273,
-  "tasty": 43390,
-  "tasty</w>": 8568,
-  "tat": 2652,
-  "tat</w>": 21592,
-  "tata</w>": 19300,
-  "tate": 44476,
-  "tate</w>": 13295,
-  "tath": 27566,
-  "tati": 31433,
-  "tatiana</w>": 48837,
-  "tation</w>": 5280,
-  "tations</w>": 32324,
-  "tator</w>": 18791,
-  "tators</w>": 37206,
-  "tats</w>": 44557,
-  "tatt": 9232,
-  "tatted</w>": 41605,
-  "tattoo": 15980,
-  "tattoo</w>": 6325,
-  "tattooed</w>": 28541,
-  "tattoos</w>": 14900,
-  "tatum</w>": 26103,
-  "tau": 6620,
-  "tau</w>": 20510,
-  "taught</w>": 9306,
-  "taun": 23910,
-  "taunton</w>": 40681,
-  "taurus</w>": 32881,
-  "taver": 37776,
-  "tavern</w>": 18644,
-  "taw": 33868,
-  "taw</w>": 40289,
-  "tawa</w>": 29035,
-  "tawards</w>": 14351,
-  "tax": 4581,
-  "tax</w>": 3879,
-  "taxation</w>": 36847,
-  "taxes</w>": 11462,
-  "taxi": 25160,
-  "taxi</w>": 11380,
-  "taxider": 47420,
-  "taxis</w>": 34009,
-  "taxpay": 17986,
-  "taxpayer</w>": 30978,
-  "taxpayers</w>": 25503,
-  "tay": 6542,
-  "tay</w>": 15073,
-  "taya</w>": 38484,
-  "tayl": 3913,
-  "taylor": 9044,
-  "taylor</w>": 3961,
-  "taylorswift</w>": 18936,
-  "tayo</w>": 33941,
-  "taz": 41475,
-  "taz</w>": 31870,
-  "tb": 1990,
-  "tb</w>": 7490,
-  "tba</w>": 34363,
-  "tball": 8390,
-  "tball</w>": 1467,
-  "tbc</w>": 31807,
-  "tbd</w>": 45548,
-  "tbh</w>": 13238,
-  "tbi</w>": 45868,
-  "tbl</w>": 42962,
-  "tbli": 43664,
-  "tblightning</w>": 44178,
-  "tbo</w>": 34255,
-  "tbr</w>": 46643,
-  "tbs</w>": 37368,
-  "tbt</w>": 2950,
-  "tc": 6820,
-  "tc</w>": 5454,
-  "tca</w>": 35116,
-  "tch": 10744,
-  "tch</w>": 4048,
-  "tches</w>": 42001,
-  "tcm": 21501,
-  "tcm</w>": 26588,
-  "tcmparty</w>": 24338,
-  "tcot</w>": 8995,
-  "tcs</w>": 39107,
-  "tcu</w>": 26791,
-  "td": 20578,
-  "td</w>": 3192,
-  "tdf</w>": 21844,
-  "tdi</w>": 45621,
-  "tdp</w>": 47009,
-  "tds</w>": 20238,
-  "tdsb</w>": 29836,
-  "te": 600,
-  "te</w>": 756,
-  "tea": 41053,
-  "tea</w>": 3274,
-  "teach": 2043,
-  "teach</w>": 6865,
-  "teacher": 18051,
-  "teacher</w>": 4008,
-  "teachers</w>": 5069,
-  "teaches</w>": 17110,
-  "teaching</w>": 5141,
-  "teachings</w>": 32119,
-  "teal</w>": 22821,
-  "team": 2085,
-  "team</w>": 1027,
-  "teamcanada</w>": 46636,
-  "teamed</w>": 20590,
-  "teamgb</w>": 40971,
-  "teaming</w>": 24392,
-  "teammate</w>": 17900,
-  "teammates</w>": 13921,
-  "teams</w>": 3891,
-  "teamsisd</w>": 34703,
-  "teamusa</w>": 28625,
-  "teamwork</w>": 14657,
-  "teaparty</w>": 33065,
-  "teapo": 35745,
-  "teapot</w>": 40749,
-  "tear": 15802,
-  "tear</w>": 11862,
-  "tearful</w>": 46873,
-  "tearing</w>": 24785,
-  "tears</w>": 7688,
-  "teas": 23003,
-  "teas</w>": 29314,
-  "tease</w>": 25163,
-  "teased</w>": 49122,
-  "teaser</w>": 8982,
-  "teasers</w>": 48990,
-  "teases</w>": 28509,
-  "teasing</w>": 36507,
-  "teat": 26376,
-  "teatime</w>": 48948,
-  "teatro</w>": 35756,
-  "teau</w>": 24931,
-  "tebow</w>": 37797,
-  "tec": 17381,
-  "tec</w>": 11612,
-  "tech": 1782,
-  "tech</w>": 2061,
-  "techcrunch</w>": 42110,
-  "techn": 6252,
-  "technews</w>": 31787,
-  "technic": 16639,
-  "technic</w>": 37666,
-  "technical": 49231,
-  "technical</w>": 7582,
-  "technically</w>": 23180,
-  "technician</w>": 22540,
-  "technicians</w>": 35513,
-  "techno": 2599,
-  "techno</w>": 17564,
-  "technological</w>": 23068,
-  "technologies</w>": 10040,
-  "technology</w>": 3089,
-  "techs</w>": 41353,
-  "ted": 4841,
-  "ted</w>": 775,
-  "tedcruz</w>": 27517,
-  "teddy": 25758,
-  "teddy</w>": 11798,
-  "tedly</w>": 8539,
-  "tedu</w>": 42517,
-  "tedx": 17950,
-  "tedx</w>": 41504,
-  "tee": 12676,
-  "tee</w>": 3385,
-  "teed</w>": 13692,
-  "teen": 5398,
-  "teen</w>": 4697,
-  "teenage</w>": 14069,
-  "teenager</w>": 19338,
-  "teenagers</w>": 25989,
-  "teenchoice</w>": 28203,
-  "teens</w>": 12375,
-  "teenth</w>": 20249,
-  "teenwolf</w>": 40067,
-  "teeny</w>": 41622,
-  "teer</w>": 48648,
-  "tees</w>": 9641,
-  "teessi": 43295,
-  "teeth</w>": 8225,
-  "tega</w>": 29508,
-  "tegr": 39801,
-  "teh": 18720,
-  "teh</w>": 29601,
-  "tehran</w>": 26399,
-  "tein</w>": 33223,
-  "tej</w>": 46724,
-  "tek": 17489,
-  "tek</w>": 18294,
-  "tekken</w>": 29843,
-  "tel": 4978,
-  "tel</w>": 2226,
-  "telang": 23469,
-  "telangana</w>": 26386,
-  "tele": 3103,
-  "tele</w>": 32851,
-  "telecom</w>": 21057,
-  "telecommunications</w>": 39900,
-  "telegram</w>": 26780,
-  "telegraph</w>": 14713,
-  "telephone</w>": 17243,
-  "telescope</w>": 19037,
-  "telethon</w>": 49266,
-  "televised</w>": 39470,
-  "television</w>": 8608,
-  "telford</w>": 38323,
-  "tell": 16069,
-  "tell</w>": 2330,
-  "teller</w>": 20415,
-  "tellers</w>": 42707,
-  "telling</w>": 5507,
-  "tells</w>": 5217,
-  "tellu": 42511,
-  "telly</w>": 31475,
-  "tels</w>": 43607,
-  "telugu</w>": 22927,
-  "tely</w>": 5630,
-  "tem": 2404,
-  "tem</w>": 17536,
-  "tema</w>": 45881,
-  "teme": 43378,
-  "temp": 2684,
-  "temp</w>": 11097,
-  "tempe</w>": 36723,
-  "temper": 5981,
-  "temper</w>": 35521,
-  "temperature</w>": 9543,
-  "temperatures</w>": 11575,
-  "tempered</w>": 40521,
-  "tempest</w>": 36053,
-  "templ": 16679,
-  "template</w>": 18591,
-  "templates</w>": 30498,
-  "temple": 21841,
-  "temple</w>": 5620,
-  "temples</w>": 24024,
-  "tempo</w>": 19625,
-  "tempor": 4858,
-  "temporal</w>": 43656,
-  "temporarily</w>": 23189,
-  "temporary</w>": 6513,
-  "temps</w>": 11668,
-  "tempt</w>": 28460,
-  "temptation</w>": 30118,
-  "tempted</w>": 26226,
-  "tempting</w>": 34876,
-  "ten": 1149,
-  "ten</w>": 2581,
-  "tenant</w>": 16954,
-  "tenants</w>": 26023,
-  "tenay</w>": 45384,
-  "tenberg</w>": 31329,
-  "tend": 17630,
-  "tend</w>": 21252,
-  "tendency</w>": 47277,
-  "tender": 23020,
-  "tender</w>": 9838,
-  "tenderloin</w>": 42750,
-  "tenders</w>": 44741,
-  "tending</w>": 35084,
-  "tendon</w>": 48459,
-  "tends</w>": 39962,
-  "tene": 24868,
-  "tened</w>": 13682,
-  "tener</w>": 29054,
-  "teneri": 28000,
-  "tenerife</w>": 29401,
-  "teners</w>": 41307,
-  "teness</w>": 18018,
-  "teng": 34016,
-  "teng</w>": 28474,
-  "tennant</w>": 29310,
-  "tennes": 9514,
-  "tennessee</w>": 10053,
-  "tennis": 31504,
-  "tennis</w>": 5298,
-  "tenor</w>": 30521,
-  "tens</w>": 14062,
-  "tense</w>": 23518,
-  "tension</w>": 15221,
-  "tensions</w>": 24224,
-  "tenstein</w>": 49139,
-  "tent": 18505,
-  "tent</w>": 10782,
-  "tentative</w>": 48238,
-  "tenth</w>": 27483,
-  "tention</w>": 12191,
-  "tents</w>": 30730,
-  "tenure</w>": 30739,
-  "teo</w>": 18665,
-  "tep</w>": 31806,
-  "tequ": 17502,
-  "tequila</w>": 18510,
-  "ter": 704,
-  "ter</w>": 652,
-  "tera</w>": 15155,
-  "teras</w>": 44830,
-  "tere": 11329,
-  "tered": 49272,
-  "tered</w>": 4389,
-  "terence</w>": 33806,
-  "teresa</w>": 19081,
-  "teri</w>": 30917,
-  "teria</w>": 22685,
-  "terie</w>": 42276,
-  "tering</w>": 7929,
-  "term": 40991,
-  "term</w>": 4780,
-  "termin": 4766,
-  "terminal</w>": 11816,
-  "terminals</w>": 44091,
-  "terminator</w>": 29609,
-  "terminology</w>": 48896,
-  "terms</w>": 8663,
-  "tern": 41572,
-  "tern</w>": 12959,
-  "terns</w>": 25251,
-  "tero": 20727,
-  "tero</w>": 24697,
-  "terps</w>": 41471,
-  "terr": 3921,
-  "terra": 22366,
-  "terra</w>": 18816,
-  "terrac": 28549,
-  "terrace</w>": 13820,
-  "terraces</w>": 47508,
-  "terracotta</w>": 45123,
-  "terrain</w>": 20184,
-  "terran": 43726,
-  "terre": 33888,
-  "terre</w>": 27537,
-  "terrell</w>": 39494,
-  "terrence</w>": 38746,
-  "terrestrial</w>": 46299,
-  "terri": 4504,
-  "terri</w>": 36722,
-  "terrible</w>": 9741,
-  "terribly</w>": 34558,
-  "terrier</w>": 14455,
-  "terriers</w>": 47047,
-  "terrific</w>": 13837,
-  "terrified</w>": 28204,
-  "terrifying</w>": 18526,
-  "territ": 10720,
-  "territorial</w>": 39163,
-  "territories</w>": 32846,
-  "territory</w>": 13936,
-  "terror": 9596,
-  "terror</w>": 9327,
-  "terrori": 6836,
-  "terrorism</w>": 10583,
-  "terrorist</w>": 10575,
-  "terrorists</w>": 12835,
-  "terry": 19378,
-  "terry</w>": 8561,
-  "ters": 24102,
-  "ters</w>": 1737,
-  "terti": 48386,
-  "tery</w>": 4184,
-  "tes": 8019,
-  "tes</w>": 3609,
-  "tesco</w>": 15434,
-  "tese</w>": 33320,
-  "tesla</w>": 12254,
-  "tess": 21807,
-  "tess</w>": 20840,
-  "tessa</w>": 32063,
-  "test": 7738,
-  "test</w>": 1628,
-  "testam": 23477,
-  "testament</w>": 24609,
-  "tested</w>": 10576,
-  "tester</w>": 32707,
-  "testi": 18373,
-  "testic": 42364,
-  "testify</w>": 33088,
-  "testifying</w>": 46347,
-  "testim": 12553,
-  "testimonial</w>": 28834,
-  "testimony</w>": 18672,
-  "testing</w>": 4967,
-  "testo": 42428,
-  "testosterone</w>": 45168,
-  "tests</w>": 8715,
-  "tet": 40468,
-  "tet</w>": 13275,
-  "tetra": 40902,
-  "tetris</w>": 45934,
-  "teu": 47152,
-  "teuk</w>": 39979,
-  "teur</w>": 27120,
-  "tex": 2056,
-  "tex</w>": 11728,
-  "texan": 35287,
-  "texan</w>": 38386,
-  "texans</w>": 17580,
-  "texanscheer</w>": 43717,
-  "texas": 15713,
-  "texas</w>": 3403,
-  "texaste": 46469,
-  "text": 18169,
-  "text</w>": 4160,
-  "textbook</w>": 25952,
-  "textbooks</w>": 44041,
-  "texted</w>": 29004,
-  "textile</w>": 19789,
-  "textiles</w>": 24326,
-  "texting</w>": 18600,
-  "texts</w>": 12767,
-  "texture</w>": 16505,
-  "textured</w>": 32168,
-  "textures</w>": 28063,
-  "tey</w>": 32395,
-  "tez</w>": 22664,
-  "tf": 18828,
-  "tf</w>": 5001,
-  "tfc</w>": 30186,
-  "tfl</w>": 29918,
-  "tford</w>": 22493,
-  "tful</w>": 17108,
-  "tfw</w>": 16741,
-  "tg": 7665,
-  "tg</w>": 11981,
-  "tgif</w>": 14483,
-  "th": 513,
-  "th</w>": 640,
-  "tha": 18470,
-  "tha</w>": 4715,
-  "thab": 38219,
-  "thad": 48339,
-  "thai": 28054,
-  "thai</w>": 8825,
-  "thail": 7258,
-  "thailand</w>": 7469,
-  "thak": 22801,
-  "thakur</w>": 38427,
-  "thal": 7967,
-  "thal</w>": 12323,
-  "thala</w>": 17784,
-  "thalai": 25206,
-  "thalaivar</w>": 44918,
-  "thalap": 39789,
-  "thalapathy": 45405,
-  "thalapathy</w>": 23324,
-  "thall</w>": 36007,
-  "tham": 11761,
-  "tham</w>": 8896,
-  "thames": 43472,
-  "thames</w>": 15321,
-  "than": 792,
-  "than</w>": 1126,
-  "thand": 44465,
-  "thane</w>": 21463,
-  "thang</w>": 24870,
-  "thani</w>": 31322,
-  "thank": 2790,
-  "thank</w>": 1144,
-  "thanked</w>": 32079,
-  "thankful": 38839,
-  "thankful</w>": 6217,
-  "thankfully</w>": 22089,
-  "thanking</w>": 21989,
-  "thanks": 5672,
-  "thanks</w>": 1085,
-  "thanksgiving": 45732,
-  "thanksgiving</w>": 6167,
-  "thanku</w>": 45710,
-  "thankyou": 18050,
-  "thankyou</w>": 9911,
-  "thanniversary</w>": 35564,
-  "thanos</w>": 36709,
-  "thanx</w>": 25095,
-  "thar": 14396,
-  "thar</w>": 38843,
-  "thard</w>": 43474,
-  "that": 6303,
-  "that</w>": 682,
-  "thatcher</w>": 32496,
-  "thats": 44636,
-  "thats</w>": 9254,
-  "thaw": 26081,
-  "thaw</w>": 47229,
-  "thbewithyou</w>": 41067,
-  "thc</w>": 20091,
-  "thcentury</w>": 49111,
-  "thd</w>": 28219,
-  "thday</w>": 37801,
-  "the": 599,
-  "the</w>": 518,
-  "thea": 15935,
-  "thea</w>": 25429,
-  "thead</w>": 25259,
-  "theal": 45728,
-  "thealth</w>": 31398,
-  "thear": 43283,
-  "theart": 44678,
-  "theast</w>": 8378,
-  "theastern</w>": 17877,
-  "theat": 2263,
-  "theater": 39438,
-  "theater</w>": 6128,
-  "theaters</w>": 14689,
-  "theatre": 19857,
-  "theatre</w>": 3292,
-  "theatres</w>": 21680,
-  "theatrical</w>": 26833,
-  "theband</w>": 27695,
-  "thebeatles</w>": 35645,
-  "thebest": 40883,
-  "thebest</w>": 25856,
-  "thebig": 24732,
-  "theblack": 47718,
-  "thec": 48659,
-  "thed</w>": 31405,
-  "thedaily": 33550,
-  "theday</w>": 4408,
-  "thedream</w>": 39417,
-  "thee": 44475,
-  "thee</w>": 15108,
-  "theeconomist</w>": 44518,
-  "theellenshow</w>": 35342,
-  "thefilm</w>": 31665,
-  "theflash</w>": 25434,
-  "theforce": 40002,
-  "theforceawakens</w>": 48033,
-  "theft</w>": 13286,
-  "thefuture</w>": 34287,
-  "thegame</w>": 24428,
-  "thegood": 28594,
-  "thegreat": 28721,
-  "thei": 44522,
-  "their</w>": 911,
-  "theirs</w>": 29297,
-  "thel": 5403,
-  "thelast": 23495,
-  "thelastjedi</w>": 47992,
-  "theless</w>": 27712,
-  "theli": 15277,
-  "thelittle": 46872,
-  "thelo": 47036,
-  "thelove": 40668,
-  "thelove</w>": 43200,
-  "them": 5435,
-  "them</w>": 1180,
-  "themasters</w>": 48378,
-  "theme": 38524,
-  "theme</w>": 5849,
-  "themed</w>": 10126,
-  "themes</w>": 17849,
-  "themet</w>": 48183,
-  "themovie</w>": 27062,
-  "themselves</w>": 6503,
-  "then": 5929,
-  "then</w>": 1594,
-  "thenburg</w>": 45209,
-  "thene": 17012,
-  "thenew": 24212,
-  "thenext": 47881,
-  "thenight</w>": 43336,
-  "theno": 37172,
-  "thenorth</w>": 34338,
-  "theo": 17043,
-  "theo</w>": 18084,
-  "theod": 26653,
-  "theodore</w>": 30743,
-  "theological</w>": 41162,
-  "theology</w>": 24095,
-  "theon</w>": 34653,
-  "theone</w>": 46231,
-  "theopen</w>": 41438,
-  "theore": 22690,
-  "theoretical</w>": 35585,
-  "theori": 34804,
-  "theories</w>": 23937,
-  "theory</w>": 7143,
-  "thepeople</w>": 33597,
-  "thepersonal": 29981,
-  "thepersonalnetwork</w>": 30016,
-  "thephoto": 18303,
-  "thephotohour</w>": 18607,
-  "ther": 1160,
-  "ther</w>": 743,
-  "therap": 4499,
-  "therapeu": 19332,
-  "therapeutic</w>": 23240,
-  "therapeutics</w>": 49101,
-  "therapies</w>": 30179,
-  "therapist</w>": 20608,
-  "therapists</w>": 34763,
-  "therapper</w>": 49340,
-  "therapy</w>": 5257,
-  "there": 5283,
-  "there</w>": 997,
-  "thereal": 8074,
-  "thereal</w>": 41140,
-  "thereby</w>": 43308,
-  "thered</w>": 10208,
-  "therefore</w>": 16865,
-  "theres</w>": 18494,
-  "theresa</w>": 14126,
-  "therese</w>": 47996,
-  "theresistance</w>": 22845,
-  "theri": 28967,
-  "theri</w>": 45297,
-  "therine": 26807,
-  "therine</w>": 9239,
-  "thering</w>": 7891,
-  "therland</w>": 25351,
-  "thermal</w>": 13689,
-  "thermo": 22303,
-  "thermom": 31138,
-  "thermometer</w>": 38172,
-  "thermost": 42391,
-  "thern": 10919,
-  "thern</w>": 3137,
-  "thero": 13165,
-  "theroad</w>": 29807,
-  "therock</w>": 30036,
-  "theroy": 38146,
-  "thers</w>": 1959,
-  "thes": 40556,
-  "thes</w>": 6460,
-  "thescript</w>": 47061,
-  "these": 40366,
-  "these</w>": 1071,
-  "theses</w>": 39388,
-  "thesimpsons</w>": 45513,
-  "thesims</w>": 34192,
-  "thesis</w>": 10673,
-  "thessal": 41491,
-  "thessaloni": 41753,
-  "thest</w>": 35343,
-  "thesun</w>": 45617,
-  "theta</w>": 27694,
-  "thetic</w>": 7954,
-  "thetimes</w>": 36039,
-  "thevamp": 33701,
-  "thevoice": 47206,
-  "thevoice</w>": 30258,
-  "thewalkingdead</w>": 18087,
-  "thewanted</w>": 43008,
-  "theworld": 44988,
-  "theworld</w>": 17475,
-  "thex": 35990,
-  "they": 15174,
-  "they</w>": 889,
-  "theyre</w>": 28266,
-  "thfc</w>": 17729,
-  "thi": 2362,
-  "thi</w>": 9111,
-  "thia</w>": 17943,
-  "thiago</w>": 44537,
-  "thian</w>": 23214,
-  "thians</w>": 28187,
-  "thibau": 48351,
-  "thic": 26107,
-  "thic</w>": 11794,
-  "thick": 18417,
-  "thick</w>": 11006,
-  "thicker</w>": 43302,
-  "thickness</w>": 40754,
-  "thief</w>": 18508,
-  "thier</w>": 25595,
-  "thierry</w>": 32929,
-  "thieves</w>": 17899,
-  "thigh": 47124,
-  "thigh</w>": 22877,
-  "thighs</w>": 30847,
-  "thik</w>": 20512,
-  "thika</w>": 44619,
-  "thill</w>": 31266,
-  "thim": 42331,
-  "thin": 2178,
-  "thin</w>": 7847,
-  "thine</w>": 47192,
-  "thing": 7499,
-  "thing</w>": 946,
-  "things": 30670,
-  "things</w>": 1739,
-  "thingsto": 43924,
-  "thingy</w>": 36888,
-  "think": 9820,
-  "think</w>": 1331,
-  "thinkbig": 26015,
-  "thinkbigsundaywithmarsha</w>": 26666,
-  "thinker</w>": 34577,
-  "thinkers</w>": 32779,
-  "thinkin</w>": 34443,
-  "thinking</w>": 3291,
-  "thinks</w>": 6109,
-  "thinner</w>": 47247,
-  "thir": 6030,
-  "third": 32102,
-  "third</w>": 3981,
-  "thirds</w>": 42582,
-  "thirst</w>": 23563,
-  "thirsty": 39731,
-  "thirsty</w>": 17521,
-  "thirteen</w>": 34209,
-  "thirty</w>": 20813,
-  "thiru": 43292,
-  "this": 4340,
-  "this</w>": 589,
-  "thisday</w>": 6532,
-  "thisdayin": 33641,
-  "thisdayinhistory</w>": 46913,
-  "thisi": 7299,
-  "thisis": 14887,
-  "thismorning</w>": 36245,
-  "thistle</w>": 29039,
-  "thistory</w>": 28904,
-  "thium</w>": 21804,
-  "thletics</w>": 17765,
-  "thm</w>": 10407,
-  "thman</w>": 30079,
-  "thms</w>": 19874,
-  "thn": 44155,
-  "thn</w>": 45587,
-  "thnx</w>": 25480,
-  "tho": 1325,
-  "tho</w>": 5025,
-  "thof": 18943,
-  "thofjuly</w>": 21613,
-  "thol": 29319,
-  "thole</w>": 31029,
-  "tholes</w>": 42465,
-  "thology</w>": 9881,
-  "thom": 2585,
-  "thom</w>": 24094,
-  "thomas": 12574,
-  "thomas</w>": 3888,
-  "thome</w>": 21289,
-  "thomp": 37274,
-  "thompson": 42181,
-  "thompson</w>": 8535,
-  "thomson</w>": 24151,
-  "thon": 38776,
-  "thon</w>": 8924,
-  "thong</w>": 37058,
-  "thood</w>": 15623,
-  "thor": 4130,
-  "thor</w>": 13691,
-  "thora</w>": 46866,
-  "thorn": 12957,
-  "thorn</w>": 18466,
-  "thorne</w>": 18025,
-  "thorns</w>": 33650,
-  "thornton</w>": 23592,
-  "thorough": 15294,
-  "thorough</w>": 34788,
-  "thoroughbred</w>": 43248,
-  "thoroughly</w>": 19750,
-  "thorpe</w>": 18099,
-  "thos</w>": 41965,
-  "those</w>": 1753,
-  "thot</w>": 33736,
-  "thou": 1513,
-  "thou</w>": 17781,
-  "though</w>": 2846,
-  "thought": 23948,
-  "thought</w>": 2449,
-  "thoughtful</w>": 19592,
-  "thoughts</w>": 3618,
-  "thour</w>": 27125,
-  "thousand</w>": 9344,
-  "thousands</w>": 7089,
-  "thouse": 40318,
-  "thouse</w>": 7819,
-  "thoven</w>": 23078,
-  "thr": 1111,
-  "thr</w>": 19138,
-  "thra": 17761,
-  "thra</w>": 32797,
-  "thrash</w>": 38262,
-  "thre": 1607,
-  "thread": 31108,
-  "thread</w>": 8815,
-  "threads</w>": 24957,
-  "threat": 7527,
-  "threat</w>": 7212,
-  "threaten</w>": 26097,
-  "threatened</w>": 16391,
-  "threatening</w>": 16400,
-  "threatens</w>": 20555,
-  "threats</w>": 12766,
-  "three": 21615,
-  "three</w>": 2097,
-  "thren</w>": 41776,
-  "thresh": 29779,
-  "threshold</w>": 33791,
-  "threw</w>": 12746,
-  "thri": 8713,
-  "thrift</w>": 27779,
-  "thrill</w>": 21023,
-  "thrilled</w>": 7879,
-  "thriller</w>": 9653,
-  "thrilling</w>": 20101,
-  "thrills</w>": 39829,
-  "thrive</w>": 17669,
-  "thriving</w>": 22677,
-  "thro": 2101,
-  "thro</w>": 28624,
-  "throat</w>": 16371,
-  "thrombo": 47585,
-  "throne</w>": 15999,
-  "thrones</w>": 8072,
-  "throp</w>": 34939,
-  "throttle</w>": 37139,
-  "through": 6091,
-  "through</w>": 1417,
-  "throughout</w>": 6721,
-  "throughs</w>": 48278,
-  "throw": 3315,
-  "throw</w>": 6293,
-  "throwback": 6001,
-  "throwback</w>": 5058,
-  "throwbackthursday</w>": 6326,
-  "thrower</w>": 40199,
-  "throwing</w>": 9734,
-  "thrown</w>": 15079,
-  "throws</w>": 14723,
-  "thru": 23856,
-  "thru</w>": 6162,
-  "thrush</w>": 46133,
-  "thrust</w>": 40202,
-  "ths</w>": 2079,
-  "tht</w>": 23554,
-  "thu": 3837,
-  "thu</w>": 14153,
-  "thub</w>": 25660,
-  "thug": 37212,
-  "thug</w>": 18137,
-  "thugs</w>": 27686,
-  "thul": 28368,
-  "thulhu</w>": 37560,
-  "thum": 14679,
-  "thumb": 19514,
-  "thumb</w>": 18674,
-  "thumbnail</w>": 32365,
-  "thumbs</w>": 17599,
-  "thun": 32267,
-  "thunder": 6161,
-  "thunder</w>": 8951,
-  "thunderbird</w>": 45131,
-  "thunderbirds</w>": 44286,
-  "thunderbolt</w>": 43596,
-  "thunderstorm</w>": 12005,
-  "thunderstorms</w>": 19525,
-  "thunt</w>": 46763,
-  "thur": 1837,
-  "thur</w>": 21704,
-  "thurman</w>": 41291,
-  "thurs</w>": 9908,
-  "thursday": 11218,
-  "thursday</w>": 2221,
-  "thursdaymotivation</w>": 39375,
-  "thursdays</w>": 21444,
-  "thursdaythoughts</w>": 14866,
-  "thurst</w>": 33970,
-  "thus</w>": 12457,
-  "thusi": 9488,
-  "thwaite</w>": 48469,
-  "thweeksary</w>": 30871,
-  "thx</w>": 5913,
-  "thy": 7804,
-  "thy</w>": 3362,
-  "thyme</w>": 29805,
-  "thyro": 25174,
-  "thyroid</w>": 32558,
-  "ti": 555,
-  "ti</w>": 2605,
-  "tia</w>": 6709,
-  "tial</w>": 2826,
-  "tially</w>": 14503,
-  "tian": 23011,
-  "tian</w>": 8125,
-  "tians</w>": 35182,
-  "tiara</w>": 38322,
-  "tib": 47868,
-  "tibet": 19927,
-  "tibet</w>": 22234,
-  "tibetan</w>": 24057,
-  "tible</w>": 11453,
-  "tic": 890,
-  "tic</w>": 1550,
-  "tica</w>": 9669,
-  "tical": 34191,
-  "tical</w>": 4342,
-  "tically</w>": 13375,
-  "ticals</w>": 30861,
-  "tice</w>": 3122,
-  "tich</w>": 48769,
-  "tician</w>": 43358,
-  "ticism</w>": 26491,
-  "tick": 24640,
-  "tick</w>": 15617,
-  "ticket": 25740,
-  "ticket</w>": 4500,
-  "ticketing</w>": 44432,
-  "tickets</w>": 2015,
-  "ticking</w>": 35842,
-  "tickle</w>": 42999,
-  "ticks</w>": 40269,
-  "tico</w>": 17670,
-  "ticon</w>": 45996,
-  "tics</w>": 2419,
-  "ticul": 15538,
-  "ticus</w>": 44277,
-  "tid": 26002,
-  "tid</w>": 23727,
-  "tidal</w>": 21949,
-  "tide": 15698,
-  "tide</w>": 9105,
-  "tides</w>": 25524,
-  "tidy</w>": 23858,
-  "tie": 14072,
-  "tie</w>": 3422,
-  "tied</w>": 9889,
-  "tiem": 34762,
-  "tien</w>": 47538,
-  "tiene</w>": 43438,
-  "tier": 14390,
-  "tier</w>": 6598,
-  "tierney</w>": 45693,
-  "tiers</w>": 24604,
-  "ties": 25556,
-  "ties</w>": 2499,
-  "tiest</w>": 18300,
-  "tiesto</w>": 46367,
-  "tif</w>": 23216,
-  "tiff": 11112,
-  "tiff</w>": 20699,
-  "tiffany": 30467,
-  "tiffany</w>": 14446,
-  "tification</w>": 43923,
-  "tified</w>": 40854,
-  "tiful</w>": 29123,
-  "tify</w>": 6677,
-  "tig</w>": 31999,
-  "tiger": 11954,
-  "tiger</w>": 6531,
-  "tigers</w>": 6934,
-  "tigh": 31365,
-  "tight": 25763,
-  "tight</w>": 9123,
-  "tighten</w>": 46653,
-  "tighter</w>": 48193,
-  "tightly</w>": 37568,
-  "tights</w>": 29581,
-  "tijuana</w>": 45273,
-  "tik": 24986,
-  "tik</w>": 32403,
-  "tiki</w>": 30107,
-  "til": 6124,
-  "til</w>": 1763,
-  "tile": 26217,
-  "tile</w>": 8227,
-  "tiles</w>": 10607,
-  "tility</w>": 38180,
-  "till": 17462,
-  "till</w>": 4267,
-  "tilla</w>": 26063,
-  "tillerson</w>": 47738,
-  "tilly</w>": 41199,
-  "tilt</w>": 23601,
-  "tim": 1292,
-  "tim</w>": 3863,
-  "timate</w>": 4754,
-  "timb": 26627,
-  "timber": 14441,
-  "timber</w>": 16246,
-  "timberlake</w>": 28274,
-  "timbers</w>": 39911,
-  "timberwolves</w>": 41190,
-  "time": 3764,
-  "time</w>": 788,
-  "timed</w>": 32727,
-  "timehop</w>": 19944,
-  "timel": 23549,
-  "timelapse</w>": 48154,
-  "timeless</w>": 15558,
-  "timeline</w>": 11492,
-  "timely</w>": 19250,
-  "timeout</w>": 41536,
-  "timer</w>": 19725,
-  "timers</w>": 44574,
-  "times": 26445,
-  "times</w>": 1661,
-  "timesnow</w>": 45487,
-  "timesof": 32522,
-  "timesofindia</w>": 44182,
-  "timetable</w>": 31971,
-  "timeto": 29187,
-  "timing</w>": 13624,
-  "timm": 22444,
-  "timmy</w>": 33252,
-  "timo": 13390,
-  "timo</w>": 33777,
-  "timothy": 42087,
-  "timothy</w>": 18560,
-  "timp": 42166,
-  "tin": 1310,
-  "tin</w>": 5420,
-  "tina</w>": 9257,
-  "tinder</w>": 24287,
-  "tine</w>": 22341,
-  "ting": 7451,
-  "ting</w>": 694,
-  "tinged</w>": 44829,
-  "tings</w>": 35332,
-  "tini</w>": 26839,
-  "tink": 39278,
-  "tinker": 45272,
-  "tinker</w>": 40910,
-  "tino</w>": 20538,
-  "tins</w>": 37359,
-  "tint</w>": 40497,
-  "tinted</w>": 42618,
-  "tiny": 21716,
-  "tiny</w>": 5591,
-  "tio</w>": 27562,
-  "tion": 2274,
-  "tion</w>": 740,
-  "tional": 22460,
-  "tional</w>": 2986,
-  "tionality</w>": 24514,
-  "tionally</w>": 12409,
-  "tionary</w>": 8381,
-  "tione": 44318,
-  "tioned</w>": 9083,
-  "tioning</w>": 15528,
-  "tionist</w>": 25732,
-  "tions</w>": 1371,
-  "tious</w>": 14255,
-  "tip": 15383,
-  "tip</w>": 4623,
-  "tipoff</w>": 44521,
-  "tipp": 32294,
-  "tipped</w>": 31878,
-  "tipper": 38095,
-  "tipperary</w>": 45612,
-  "tipping</w>": 27827,
-  "tips</w>": 3173,
-  "tipton</w>": 48809,
-  "tiptuesday</w>": 42112,
-  "tique</w>": 37772,
-  "tir": 25467,
-  "tir</w>": 38462,
-  "tire": 29128,
-  "tire</w>": 9362,
-  "tired</w>": 6533,
-  "tireless</w>": 39835,
-  "tirelessly</w>": 41548,
-  "tires</w>": 15533,
-  "tiring</w>": 42630,
-  "tiru": 36033,
-  "tis": 7839,
-  "tis</w>": 7394,
-  "tise</w>": 13745,
-  "tisgarh</w>": 40538,
-  "tish": 45148,
-  "tish</w>": 28784,
-  "tism</w>": 27113,
-  "tiss": 28155,
-  "tissue</w>": 15368,
-  "tissues</w>": 32172,
-  "tist</w>": 7902,
-  "tista</w>": 25580,
-  "tists</w>": 25944,
-  "tit": 1991,
-  "tit</w>": 13202,
-  "tita</w>": 40936,
-  "titan": 13496,
-  "titan</w>": 15516,
-  "titanic</w>": 20729,
-  "titanium</w>": 24409,
-  "titans</w>": 13066,
-  "titi": 17434,
-  "titi</w>": 48504,
-  "title": 28033,
-  "title</w>": 3644,
-  "titled</w>": 9939,
-  "titles</w>": 9780,
-  "tito</w>": 26838,
-  "titus</w>": 36102,
-  "tium</w>": 21975,
-  "tiv": 1835,
-  "tiva</w>": 41886,
-  "tive": 14640,
-  "tive</w>": 1420,
-  "tively</w>": 9883,
-  "tiveness</w>": 20955,
-  "tives</w>": 7570,
-  "tivity</w>": 9859,
-  "tivo</w>": 32162,
-  "tix</w>": 5835,
-  "tiz</w>": 19376,
-  "tj": 18890,
-  "tj</w>": 18988,
-  "tk": 22344,
-  "tk</w>": 20676,
-  "tko</w>": 37347,
-  "tks</w>": 38739,
-  "tl": 14325,
-  "tl</w>": 8190,
-  "tland</w>": 30697,
-  "tlap</w>": 41976,
-  "tlc</w>": 22047,
-  "tle": 39141,
-  "tle</w>": 5825,
-  "tles</w>": 39363,
-  "tless</w>": 17427,
-  "tlot</w>": 41080,
-  "tls</w>": 47367,
-  "tly": 37483,
-  "tly</w>": 1646,
-  "tm": 9430,
-  "tm</w>": 7789,
-  "tman</w>": 20796,
-  "tmc</w>": 35263,
-  "tment</w>": 26485,
-  "tml": 39445,
-  "tmltalk</w>": 42260,
-  "tmnt</w>": 32444,
-  "tmobile</w>": 34901,
-  "tmr</w>": 35906,
-  "tmrw</w>": 16496,
-  "tms</w>": 44496,
-  "tmund</w>": 23801,
-  "tmw</w>": 45827,
-  "tmz</w>": 37248,
-  "tn": 3827,
-  "tn</w>": 7248,
-  "tna</w>": 21150,
-  "tnam</w>": 8079,
-  "tner</w>": 34922,
-  "tness</w>": 35212,
-  "tney</w>": 9523,
-  "tng</w>": 35898,
-  "tnt</w>": 20659,
-  "tnx</w>": 38220,
-  "to": 580,
-  "to</w>": 531,
-  "toa": 17916,
-  "toad</w>": 26096,
-  "toast": 24654,
-  "toast</w>": 10920,
-  "toasted</w>": 23533,
-  "toaster</w>": 39061,
-  "toasty</w>": 44726,
-  "tob</w>": 24260,
-  "tobac": 12611,
-  "tobacco</w>": 13905,
-  "tobago</w>": 39482,
-  "tobe": 17534,
-  "tobe</w>": 28740,
-  "tober": 18162,
-  "tober</w>": 2925,
-  "toberfest</w>": 26249,
-  "tobi": 40335,
-  "tobi</w>": 48374,
-  "tobias</w>": 32464,
-  "tobin</w>": 42466,
-  "toby": 29659,
-  "toby</w>": 18333,
-  "toc": 41907,
-  "toc</w>": 30643,
-  "tock</w>": 25274,
-  "tod": 38239,
-  "tod</w>": 33568,
-  "toda</w>": 47141,
-  "todas</w>": 36150,
-  "today": 11800,
-  "today</w>": 721,
-  "todayin": 32957,
-  "todays</w>": 13513,
-  "todayshow</w>": 29739,
-  "todd": 10398,
-  "todd</w>": 9951,
-  "toddler</w>": 17772,
-  "toddlers</w>": 36719,
-  "toddy</w>": 38926,
-  "todo": 48857,
-  "todo</w>": 23087,
-  "todos</w>": 33355,
-  "toe": 47756,
-  "toe</w>": 11344,
-  "toes</w>": 16511,
-  "tof": 6659,
-  "toff</w>": 27319,
-  "toffee</w>": 34880,
-  "tofficial</w>": 47953,
-  "tofthe": 23678,
-  "toftheday</w>": 20566,
-  "tofu</w>": 24692,
-  "tog</w>": 45715,
-  "toge": 1903,
-  "together": 17858,
-  "together</w>": 1952,
-  "togo</w>": 26729,
-  "tography</w>": 33968,
-  "toh</w>": 26851,
-  "toi": 7472,
-  "toi</w>": 26941,
-  "toid</w>": 49124,
-  "toile": 43148,
-  "toilet</w>": 11071,
-  "toilets</w>": 24027,
-  "toire</w>": 39534,
-  "tok": 16690,
-  "tok</w>": 27010,
-  "token": 32634,
-  "token</w>": 17134,
-  "tokens</w>": 23562,
-  "tokyo": 35038,
-  "tokyo</w>": 6667,
-  "tol": 4678,
-  "tol</w>": 32962,
-  "told</w>": 3527,
-  "tole": 15677,
-  "toledo</w>": 19812,
-  "toler": 12150,
-  "tolerance</w>": 20377,
-  "tolerant</w>": 38536,
-  "tolerate</w>": 35556,
-  "tolkien</w>": 32989,
-  "toll": 44090,
-  "toll</w>": 14155,
-  "tollywood</w>": 42016,
-  "tology</w>": 34799,
-  "tom": 999,
-  "tom</w>": 2435,
-  "toma": 42360,
-  "toma</w>": 44710,
-  "tomas": 35944,
-  "tomas</w>": 27178,
-  "tomat": 12041,
-  "tomato</w>": 9867,
-  "tomatoes</w>": 13004,
-  "tomb": 37187,
-  "tomb</w>": 15582,
-  "tombs</w>": 48613,
-  "tombstone</w>": 45729,
-  "tome": 24137,
-  "tome</w>": 24283,
-  "tomi</w>": 46290,
-  "tomlin</w>": 46649,
-  "tomlinson</w>": 17484,
-  "tommorow</w>": 42871,
-  "tommy": 16573,
-  "tommy</w>": 8876,
-  "tomo": 31223,
-  "tomo</w>": 34434,
-  "tomor": 1277,
-  "tomorrow": 19728,
-  "tomorrow</w>": 1293,
-  "tomorrowland</w>": 34951,
-  "tomorrows</w>": 32258,
-  "tomorrowspaper": 35005,
-  "tomorrowspaperstoday</w>": 35190,
-  "tomp": 43544,
-  "tompkins</w>": 49068,
-  "toms</w>": 10545,
-  "tomy</w>": 18730,
-  "ton": 838,
-  "ton</w>": 917,
-  "tona</w>": 13459,
-  "tone": 32366,
-  "tone</w>": 8408,
-  "toned</w>": 29426,
-  "toner</w>": 40614,
-  "tones</w>": 14744,
-  "tong</w>": 21510,
-  "tonga</w>": 37882,
-  "tongue": 44820,
-  "tongue</w>": 13626,
-  "tongues</w>": 39837,
-  "toni": 17766,
-  "toni</w>": 17171,
-  "tonic</w>": 17808,
-  "tonics</w>": 34647,
-  "tonight</w>": 1009,
-  "tonights</w>": 23312,
-  "tonite</w>": 13449,
-  "tonka</w>": 42781,
-  "tonline</w>": 45867,
-  "tonne</w>": 42450,
-  "tonnes</w>": 24813,
-  "tons</w>": 7555,
-  "tony": 9150,
-  "tony</w>": 4767,
-  "tonyawards</w>": 46068,
-  "too": 1843,
-  "too</w>": 1256,
-  "took</w>": 2280,
-  "tool": 13718,
-  "tool</w>": 5999,
-  "toolbox</w>": 46599,
-  "toolkit</w>": 29849,
-  "tools</w>": 5771,
-  "toom": 27550,
-  "toon": 24664,
-  "toon</w>": 19701,
-  "toonami</w>": 48336,
-  "toons</w>": 35345,
-  "toor": 42590,
-  "tooth": 15316,
-  "tooth</w>": 12030,
-  "toothbrush</w>": 36841,
-  "toothpaste</w>": 37322,
-  "tooting</w>": 42969,
-  "top": 5534,
-  "top</w>": 1253,
-  "topaz</w>": 46125,
-  "tope": 32149,
-  "tope</w>": 42239,
-  "topeka</w>": 46884,
-  "topia</w>": 29618,
-  "topic</w>": 8720,
-  "topical</w>": 37464,
-  "topics</w>": 11916,
-  "topless</w>": 37415,
-  "topo": 23008,
-  "topoli</w>": 30152,
-  "topp": 19529,
-  "topped</w>": 12588,
-  "topper</w>": 31780,
-  "toppers</w>": 41651,
-  "topping</w>": 21071,
-  "toppings</w>": 47554,
-  "topps</w>": 20201,
-  "tops</w>": 8154,
-  "topshop</w>": 40953,
-  "topus</w>": 21495,
-  "tor": 937,
-  "tor</w>": 1208,
-  "tora</w>": 45147,
-  "torah</w>": 37945,
-  "toral</w>": 45282,
-  "torch": 31921,
-  "torch</w>": 15820,
-  "tore": 38066,
-  "tore</w>": 19385,
-  "tored</w>": 38046,
-  "torg</w>": 33214,
-  "tori": 17689,
-  "tori</w>": 17539,
-  "toria</w>": 23732,
-  "torial</w>": 28029,
-  "torian</w>": 48399,
-  "tories</w>": 14193,
-  "torino</w>": 29178,
-  "torio</w>": 34235,
-  "torn": 8572,
-  "torn</w>": 18023,
-  "tornad": 24676,
-  "tornado</w>": 9062,
-  "tornadoes</w>": 28254,
-  "toro</w>": 17892,
-  "toron": 37407,
-  "toronto": 16866,
-  "toronto</w>": 4514,
-  "torpe": 34093,
-  "torpedo</w>": 46582,
-  "torquay</w>": 45738,
-  "torque</w>": 31940,
-  "torre": 39563,
-  "torre</w>": 38009,
-  "torrent</w>": 42317,
-  "torrential</w>": 41158,
-  "torres</w>": 16049,
-  "tors</w>": 2546,
-  "tortilla</w>": 32683,
-  "torto": 24170,
-  "tortoise</w>": 30178,
-  "torture</w>": 16013,
-  "tortured</w>": 29900,
-  "tory": 29390,
-  "tory</w>": 4214,
-  "tos</w>": 6094,
-  "tosc": 37719,
-  "tose</w>": 38154,
-  "tosh</w>": 17109,
-  "toshi": 31744,
-  "toss</w>": 19656,
-  "tossed</w>": 31296,
-  "tot": 4618,
-  "tot</w>": 23659,
-  "total": 13507,
-  "total</w>": 4445,
-  "totally</w>": 5440,
-  "totals</w>": 25772,
-  "tote": 48145,
-  "tote</w>": 19031,
-  "totem</w>": 45376,
-  "totes</w>": 37199,
-  "tothe": 12222,
-  "toto</w>": 39823,
-  "tots</w>": 24978,
-  "totten": 14360,
-  "tottenham</w>": 14889,
-  "tou": 1879,
-  "tou</w>": 29261,
-  "touch": 9480,
-  "touch</w>": 4526,
-  "touchdown</w>": 18664,
-  "touchdowns</w>": 37905,
-  "touched</w>": 13190,
-  "touches</w>": 14832,
-  "touching</w>": 14088,
-  "touchscreen</w>": 39095,
-  "tough": 12063,
-  "tough</w>": 5499,
-  "tougher</w>": 33722,
-  "toughest</w>": 23773,
-  "toughness</w>": 45522,
-  "toulou": 27145,
-  "toulouse</w>": 30267,
-  "tour": 2710,
-  "tour</w>": 1760,
-  "tourde": 39247,
-  "toured</w>": 27654,
-  "touri": 4224,
-  "touring</w>": 11853,
-  "tourism": 23661,
-  "tourism</w>": 6556,
-  "tourist</w>": 12123,
-  "tourists</w>": 15546,
-  "tournament</w>": 4097,
-  "tournaments</w>": 23058,
-  "tourney</w>": 12603,
-  "tours</w>": 8948,
-  "tous</w>": 37424,
-  "tout</w>": 22300,
-  "touts</w>": 41274,
-  "tov</w>": 28970,
-  "tow": 11557,
-  "tow</w>": 18653,
-  "toward</w>": 8508,
-  "towards</w>": 4447,
-  "towed</w>": 45419,
-  "towel</w>": 15953,
-  "towels</w>": 26578,
-  "tower": 26669,
-  "tower</w>": 4730,
-  "towering</w>": 39444,
-  "towers</w>": 12701,
-  "towie</w>": 44613,
-  "towin</w>": 45819,
-  "towing</w>": 36963,
-  "town": 4068,
-  "town</w>": 1605,
-  "townfc</w>": 33981,
-  "townhall</w>": 33408,
-  "townhouse</w>": 40178,
-  "towns</w>": 14173,
-  "townsend</w>": 26826,
-  "township</w>": 14622,
-  "townsville</w>": 47330,
-  "towork</w>": 48233,
-  "tox": 7742,
-  "tox</w>": 16145,
-  "toxic": 27436,
-  "toxic</w>": 12348,
-  "toxicity</w>": 41234,
-  "toxin</w>": 48899,
-  "toxins</w>": 36618,
-  "toy": 14387,
-  "toy</w>": 5988,
-  "toya</w>": 37602,
-  "toyo": 7644,
-  "toyota</w>": 8908,
-  "toys": 39508,
-  "toys</w>": 7162,
-  "tp": 23760,
-  "tp</w>": 15188,
-  "tpp</w>": 29411,
-  "tps</w>": 35246,
-  "tq</w>": 43066,
-  "tr": 635,
-  "tr</w>": 6337,
-  "tra": 752,
-  "tra</w>": 2483,
-  "trac": 2266,
-  "trace": 48611,
-  "trace</w>": 14767,
-  "traced</w>": 47956,
-  "traces</w>": 30913,
-  "tracey</w>": 25558,
-  "tracing</w>": 27897,
-  "track": 10887,
-  "track</w>": 2700,
-  "tracked</w>": 27049,
-  "tracker</w>": 18123,
-  "tracking</w>": 10428,
-  "tracklist</w>": 39777,
-  "tracks</w>": 7579,
-  "tract</w>": 4690,
-  "traction</w>": 10644,
-  "tractor</w>": 14607,
-  "tractors</w>": 37854,
-  "tracy": 32984,
-  "tracy</w>": 15508,
-  "trad": 48716,
-  "trad</w>": 38037,
-  "trade": 10457,
-  "trade</w>": 3629,
-  "traded</w>": 18860,
-  "trademark</w>": 25011,
-  "trader</w>": 17700,
-  "traders</w>": 19112,
-  "trades</w>": 18519,
-  "trading": 40083,
-  "trading</w>": 6520,
-  "tradio</w>": 20689,
-  "tradition": 20838,
-  "tradition</w>": 8784,
-  "traditional": 41113,
-  "traditional</w>": 5604,
-  "traditionally</w>": 35532,
-  "traditions</w>": 18016,
-  "traf": 3227,
-  "trafal": 32461,
-  "trafalgar</w>": 36969,
-  "traff": 31571,
-  "traffic": 12080,
-  "traffic</w>": 3399,
-  "trafficking</w>": 15983,
-  "trafford</w>": 22912,
-  "trage": 12430,
-  "tragedy</w>": 14082,
-  "tragic</w>": 14828,
-  "tragically</w>": 39599,
-  "trail": 11523,
-  "trail</w>": 4921,
-  "trailblazer</w>": 41015,
-  "trailblazers</w>": 35954,
-  "trailer</w>": 4700,
-  "trailers</w>": 24862,
-  "trailing</w>": 37427,
-  "trails</w>": 10633,
-  "train": 9122,
-  "train</w>": 3231,
-  "trained</w>": 10874,
-  "trainee</w>": 25795,
-  "trainees</w>": 30382,
-  "trainer</w>": 9767,
-  "trainers</w>": 18871,
-  "training": 34508,
-  "training</w>": 2199,
-  "trains</w>": 9541,
-  "trait</w>": 35160,
-  "traitor</w>": 31760,
-  "traitors</w>": 42633,
-  "traits</w>": 25748,
-  "trajec": 42042,
-  "trak</w>": 24065,
-  "tral</w>": 14609,
-  "tram": 9800,
-  "tram</w>": 17500,
-  "tramp</w>": 46289,
-  "trampol": 32905,
-  "trampoline</w>": 42800,
-  "tramrahim</w>": 35220,
-  "tran": 1357,
-  "tran</w>": 22031,
-  "trance": 30584,
-  "trance</w>": 18671,
-  "trancefamily</w>": 39630,
-  "trane</w>": 35779,
-  "tranqu": 18912,
-  "tranquil</w>": 35764,
-  "tranquility</w>": 36688,
-  "trans": 1826,
-  "trans</w>": 8126,
-  "transaction</w>": 24881,
-  "transactions</w>": 21653,
-  "transat": 37872,
-  "transatlantic</w>": 40703,
-  "transc": 21073,
-  "transcend": 47087,
-  "transcript</w>": 39008,
-  "transcription</w>": 48765,
-  "transfer": 22659,
-  "transfer</w>": 7134,
-  "transferred</w>": 29700,
-  "transferring</w>": 40924,
-  "transfers</w>": 21621,
-  "transform": 8142,
-  "transform</w>": 12288,
-  "transformation": 34204,
-  "transformation</w>": 7832,
-  "transformational</w>": 47135,
-  "transformationtuesday</w>": 36511,
-  "transformative</w>": 38106,
-  "transformed</w>": 17453,
-  "transformer</w>": 38235,
-  "transformers</w>": 17843,
-  "transforming": 44470,
-  "transforming</w>": 19251,
-  "transforms</w>": 30312,
-  "transgender</w>": 17732,
-  "transi": 32236,
-  "transit</w>": 10174,
-  "transiti": 22939,
-  "transition</w>": 11391,
-  "transitional</w>": 41519,
-  "transitioning</w>": 43586,
-  "transitions</w>": 39374,
-  "transl": 12243,
-  "translate</w>": 22655,
-  "translated</w>": 20752,
-  "translates</w>": 36334,
-  "translating</w>": 42156,
-  "translation</w>": 12153,
-  "translations</w>": 41367,
-  "translator</w>": 36230,
-  "translucent</w>": 49052,
-  "transm": 18861,
-  "transmission</w>": 16103,
-  "transmitted</w>": 48605,
-  "transmitter</w>": 40457,
-  "transp": 11726,
-  "transpa": 18524,
-  "transparen": 16108,
-  "transparency</w>": 16828,
-  "transparent</w>": 19017,
-  "transpl": 16038,
-  "transplant": 41871,
-  "transplant</w>": 18771,
-  "transplantation</w>": 45207,
-  "transpor": 19406,
-  "transport": 10231,
-  "transport</w>": 7362,
-  "transportation</w>": 10911,
-  "transported</w>": 29089,
-  "transporter</w>": 43568,
-  "transporting</w>": 42259,
-  "trap": 36224,
-  "trap</w>": 9677,
-  "trape": 42435,
-  "trapped</w>": 15592,
-  "traps</w>": 28517,
-  "tras</w>": 30638,
-  "trash": 39215,
-  "trash</w>": 9798,
-  "traum": 22263,
-  "trauma</w>": 13846,
-  "traumati": 46613,
-  "traumatic</w>": 29958,
-  "trav": 7586,
-  "trav</w>": 46955,
-  "trave": 35357,
-  "travel": 2824,
-  "travel</w>": 1949,
-  "travelblog</w>": 35957,
-  "travelblogger</w>": 25494,
-  "travelchat</w>": 46455,
-  "traveled</w>": 20384,
-  "traveler</w>": 17794,
-  "travelers</w>": 20644,
-  "travelgram</w>": 40069,
-  "traveling</w>": 9365,
-  "travelled</w>": 23428,
-  "traveller</w>": 22546,
-  "travellers</w>": 29583,
-  "travelling</w>": 11190,
-  "travelphotography</w>": 22808,
-  "travelpics</w>": 32293,
-  "travels</w>": 11472,
-  "traveltips</w>": 36260,
-  "traveltuesday</w>": 16713,
-  "traverse</w>": 35058,
-  "travi": 46971,
-  "travis": 27441,
-  "travis</w>": 12287,
-  "traw": 42288,
-  "trax</w>": 34421,
-  "tray": 38470,
-  "tray</w>": 14621,
-  "trays</w>": 39798,
-  "trc</w>": 41803,
-  "tre": 975,
-  "tre</w>": 6033,
-  "treach": 46005,
-  "tread": 26182,
-  "tread</w>": 35658,
-  "treadmill</w>": 37780,
-  "treas": 8591,
-  "treason</w>": 28103,
-  "treasure</w>": 9922,
-  "treasured</w>": 48068,
-  "treasurer</w>": 26985,
-  "treasures</w>": 16500,
-  "treasury</w>": 20956,
-  "treat": 3968,
-  "treat</w>": 3901,
-  "treated</w>": 9772,
-  "treating</w>": 13842,
-  "treatment</w>": 4869,
-  "treatments</w>": 15839,
-  "treats</w>": 8878,
-  "treaty</w>": 19967,
-  "treble</w>": 33194,
-  "trecht</w>": 33812,
-  "tree": 13354,
-  "tree</w>": 2677,
-  "treehouse</w>": 42387,
-  "trees</w>": 4682,
-  "trek": 13236,
-  "trek</w>": 8136,
-  "trekking</w>": 25293,
-  "trell</w>": 35159,
-  "tremb": 44043,
-  "tremend": 14659,
-  "tremendous</w>": 15988,
-  "tren": 2579,
-  "trench</w>": 23846,
-  "trenches</w>": 38723,
-  "trend": 19986,
-  "trend</w>": 6643,
-  "trending</w>": 6087,
-  "trends</w>": 7015,
-  "trendsetter</w>": 46666,
-  "trendy</w>": 23072,
-  "trent": 45885,
-  "trent</w>": 15548,
-  "trenton</w>": 37470,
-  "tres</w>": 23569,
-  "tress</w>": 4733,
-  "tresses</w>": 24273,
-  "trevor": 23437,
-  "trevor</w>": 13219,
-  "trex</w>": 42114,
-  "trey": 36670,
-  "trey</w>": 16939,
-  "tri": 924,
-  "tri</w>": 9618,
-  "triad</w>": 45602,
-  "trial</w>": 5991,
-  "trials</w>": 10992,
-  "triangle</w>": 14615,
-  "triathlon</w>": 18080,
-  "trib</w>": 45151,
-  "tribal</w>": 16629,
-  "tribe": 19943,
-  "tribe</w>": 11365,
-  "tribeca</w>": 35184,
-  "tribes</w>": 26546,
-  "tribu": 3028,
-  "tribun": 14311,
-  "tribunal</w>": 32911,
-  "tribune</w>": 18556,
-  "tribute</w>": 5493,
-  "tributes</w>": 15537,
-  "tric": 9511,
-  "tric</w>": 4081,
-  "trich</w>": 39519,
-  "trick": 17177,
-  "trick</w>": 8172,
-  "tricks</w>": 13177,
-  "tricky</w>": 22319,
-  "trics</w>": 31437,
-  "trident</w>": 35491,
-  "tridge</w>": 18722,
-  "tried</w>": 4554,
-  "tries</w>": 4315,
-  "trife": 48962,
-  "trigge": 30509,
-  "trigger</w>": 16158,
-  "triggered</w>": 30924,
-  "triggers</w>": 37319,
-  "tright</w>": 29915,
-  "tril": 40626,
-  "trill</w>": 39297,
-  "trilli": 39350,
-  "trillion</w>": 20160,
-  "trilo": 15183,
-  "trilogy</w>": 16862,
-  "trim</w>": 14182,
-  "trimmed</w>": 40657,
-  "trin": 6628,
-  "trinidad</w>": 26244,
-  "trinity": 30744,
-  "trinity</w>": 12267,
-  "trio</w>": 10263,
-  "trip": 23421,
-  "trip</w>": 2529,
-  "tripad": 37189,
-  "tripadvisor</w>": 38708,
-  "triple": 16519,
-  "triple</w>": 7673,
-  "triplets</w>": 48601,
-  "tripod</w>": 36141,
-  "tripoli</w>": 40095,
-  "trippin</w>": 43073,
-  "tripping</w>": 35229,
-  "trippy</w>": 35137,
-  "trips</w>": 12292,
-  "tris</w>": 29690,
-  "trish": 40511,
-  "trish</w>": 37179,
-  "trisha</w>": 39152,
-  "tristan</w>": 25497,
-  "trit": 37087,
-  "triton</w>": 45437,
-  "triu": 14782,
-  "trium": 21065,
-  "triumph": 26507,
-  "triumph</w>": 15307,
-  "triumphant</w>": 41918,
-  "trivi": 21228,
-  "trivia</w>": 10642,
-  "triviatuesday</w>": 45499,
-  "trix</w>": 41017,
-  "tro": 1046,
-  "tro</w>": 3332,
-  "trock</w>": 44368,
-  "trojan</w>": 30653,
-  "trojans</w>": 25310,
-  "trol": 10306,
-  "troll": 39737,
-  "troll</w>": 17103,
-  "trolley</w>": 25124,
-  "trolling</w>": 28552,
-  "trolls</w>": 20890,
-  "tromb": 32390,
-  "trombone</w>": 44423,
-  "tron": 19057,
-  "tron</w>": 10684,
-  "tronic</w>": 34258,
-  "tronics</w>": 34397,
-  "troom</w>": 23691,
-  "troop": 12492,
-  "troop</w>": 24054,
-  "trooper</w>": 18327,
-  "troopers</w>": 23576,
-  "troops</w>": 10109,
-  "trop</w>": 31585,
-  "trope</w>": 41150,
-  "trophies</w>": 20998,
-  "trophy": 42676,
-  "trophy</w>": 6502,
-  "tropic": 21794,
-  "tropic</w>": 36736,
-  "tropical": 41699,
-  "tropical</w>": 8686,
-  "tropics</w>": 36940,
-  "tros</w>": 40456,
-  "trose</w>": 36022,
-  "trot</w>": 30453,
-  "trotter</w>": 38287,
-  "trou": 5181,
-  "troubad": 49037,
-  "trouble": 25669,
-  "trouble</w>": 7848,
-  "troubled</w>": 25568,
-  "troubles</w>": 27254,
-  "trough</w>": 39761,
-  "troupe</w>": 34803,
-  "trous": 19727,
-  "trousers</w>": 23172,
-  "trout</w>": 14853,
-  "trove</w>": 45350,
-  "trow</w>": 46914,
-  "troy": 26283,
-  "troy</w>": 12819,
-  "trs</w>": 24770,
-  "tru": 931,
-  "tru</w>": 25326,
-  "truck": 14781,
-  "truck</w>": 4629,
-  "trucker</w>": 45918,
-  "truckers</w>": 43404,
-  "trucking</w>": 26208,
-  "trucks</w>": 9569,
-  "trude</w>": 39017,
-  "trudeau</w>": 15752,
-  "true": 13096,
-  "true</w>": 2328,
-  "truec": 37583,
-  "truelove</w>": 45711,
-  "truffle</w>": 23064,
-  "truffles</w>": 37057,
-  "truly</w>": 4545,
-  "trum": 11766,
-  "trum</w>": 11399,
-  "truman</w>": 29414,
-  "trump": 9124,
-  "trump</w>": 1797,
-  "trumpet</w>": 23681,
-  "trumpp": 45550,
-  "trumprussia</w>": 39135,
-  "trumps</w>": 29793,
-  "trumptrain</w>": 43595,
-  "trun": 16163,
-  "trun</w>": 46661,
-  "trunk</w>": 18347,
-  "trunks</w>": 38531,
-  "truro</w>": 43507,
-  "truss</w>": 46080,
-  "trust": 17691,
-  "trust</w>": 3876,
-  "truste": 17356,
-  "trusted</w>": 16538,
-  "trustee</w>": 30803,
-  "trustees</w>": 28853,
-  "trusting</w>": 33221,
-  "trusts</w>": 27507,
-  "trustworthy</w>": 46840,
-  "trusty</w>": 37955,
-  "truth": 21335,
-  "truth</w>": 4319,
-  "truths</w>": 27179,
-  "trx</w>": 31620,
-  "try": 4487,
-  "try</w>": 1209,
-  "tryin</w>": 31085,
-  "trying</w>": 2551,
-  "tryna</w>": 15702,
-  "tryout</w>": 43832,
-  "tryouts</w>": 28053,
-  "ts": 2290,
-  "ts</w>": 590,
-  "tsa</w>": 25977,
-  "tsal</w>": 20438,
-  "tsb</w>": 45015,
-  "tsc</w>": 37437,
-  "tsch</w>": 38778,
-  "tsd</w>": 20611,
-  "tse": 49144,
-  "tsfor": 42654,
-  "tsford</w>": 32823,
-  "tsh": 42872,
-  "tshirt</w>": 14907,
-  "tshirts</w>": 29377,
-  "tsi": 40048,
-  "tsi</w>": 37867,
-  "tsk</w>": 43600,
-  "tsla</w>": 35681,
-  "tsm</w>": 43452,
-  "tsman</w>": 20046,
-  "tsn": 44921,
-  "tsn</w>": 26896,
-  "tson": 42353,
-  "tson</w>": 47140,
-  "tsp</w>": 34230,
-  "tsu": 13950,
-  "tsu</w>": 20175,
-  "tsun": 19155,
-  "tsunami</w>": 24286,
-  "tsville</w>": 29080,
-  "tt": 971,
-  "tt</w>": 1402,
-  "tta</w>": 2646,
-  "ttc</w>": 27668,
-  "tte": 23105,
-  "tte</w>": 3070,
-  "tted</w>": 15163,
-  "tten": 11351,
-  "tten</w>": 17479,
-  "tter": 18691,
-  "tter</w>": 5165,
-  "tters</w>": 6318,
-  "ttes</w>": 9293,
-  "tti</w>": 5237,
-  "ttin</w>": 36589,
-  "tting</w>": 1188,
-  "ttino</w>": 47389,
-  "ttip</w>": 46993,
-  "ttle</w>": 9253,
-  "ttm</w>": 46838,
-  "tto": 8759,
-  "tto</w>": 8105,
-  "tton</w>": 10562,
-  "ttot</w>": 12480,
-  "ttp</w>": 30828,
-  "ttr": 47589,
-  "tts</w>": 11570,
-  "ttt</w>": 17256,
-  "tttt</w>": 33119,
-  "ttu</w>": 44006,
-  "ttv</w>": 24281,
-  "tty": 11457,
-  "tty</w>": 1856,
-  "tu": 764,
-  "tu</w>": 5760,
-  "tua</w>": 41344,
-  "tual</w>": 4799,
-  "tuan</w>": 37297,
-  "tub": 34907,
-  "tub</w>": 15450,
-  "tube": 38229,
-  "tube</w>": 3308,
-  "tuber": 30371,
-  "tuberculo": 42606,
-  "tuberculosis</w>": 43129,
-  "tubes</w>": 22870,
-  "tubing</w>": 40794,
-  "tubs</w>": 41705,
-  "tubular</w>": 48786,
-  "tuc": 14456,
-  "tuc</w>": 43871,
-  "tuck</w>": 22398,
-  "tucked</w>": 26923,
-  "tucker": 39703,
-  "tucker</w>": 15726,
-  "tucket</w>": 32677,
-  "tucson</w>": 17250,
-  "tudor</w>": 24547,
-  "tue</w>": 17515,
-  "tues": 2283,
-  "tues</w>": 12113,
-  "tuesday": 10209,
-  "tuesday</w>": 2519,
-  "tuesdaymotivation</w>": 25432,
-  "tuesdays</w>": 23195,
-  "tuesdaythoughts</w>": 17988,
-  "tuf": 44510,
-  "tuff</w>": 38868,
-  "tug": 47032,
-  "tug</w>": 27902,
-  "tuition</w>": 21129,
-  "tuk": 39271,
-  "tuk</w>": 14993,
-  "tul": 9069,
-  "tul</w>": 40837,
-  "tula</w>": 36332,
-  "tulane</w>": 44893,
-  "tulip</w>": 28389,
-  "tulips</w>": 30886,
-  "tulsa</w>": 18850,
-  "tum": 12932,
-  "tum</w>": 8843,
-  "tumb": 8831,
-  "tumble</w>": 38284,
-  "tumbler</w>": 48790,
-  "tumbling</w>": 46226,
-  "tumblr</w>": 11841,
-  "tummy</w>": 26053,
-  "tumor</w>": 22616,
-  "tumors</w>": 39894,
-  "tumour</w>": 45129,
-  "tun": 1415,
-  "tun</w>": 21349,
-  "tuna</w>": 15037,
-  "tundra</w>": 39899,
-  "tune": 11427,
-  "tune</w>": 3300,
-  "tuned</w>": 5898,
-  "tunein</w>": 16809,
-  "tuner</w>": 42905,
-  "tunes": 31688,
-  "tunes</w>": 10810,
-  "tunesapp</w>": 32550,
-  "tung": 47940,
-  "tung</w>": 31092,
-  "tuni": 16270,
-  "tunic</w>": 43495,
-  "tuning</w>": 19585,
-  "tunisia</w>": 23346,
-  "tunnel</w>": 11096,
-  "tunnels</w>": 29814,
-  "tuous</w>": 28738,
-  "tup": 37956,
-  "tup</w>": 4507,
-  "tupac</w>": 31506,
-  "tups</w>": 44855,
-  "tur": 985,
-  "tur</w>": 17182,
-  "tura</w>": 16127,
-  "tural": 45143,
-  "tural</w>": 4261,
-  "turb": 18973,
-  "turban</w>": 48515,
-  "turbine</w>": 26880,
-  "turbines</w>": 38863,
-  "turbo": 23578,
-  "turbo</w>": 13668,
-  "turbul": 31100,
-  "turbulent</w>": 47871,
-  "ture": 4321,
-  "ture</w>": 941,
-  "tured</w>": 3987,
-  "turer</w>": 11993,
-  "turers</w>": 16956,
-  "tures</w>": 2400,
-  "turf": 36762,
-  "turf</w>": 12510,
-  "turi": 11896,
-  "turin</w>": 36251,
-  "turing</w>": 5812,
-  "turismo</w>": 30202,
-  "turk": 8254,
-  "turk</w>": 32507,
-  "turkey": 35977,
-  "turkey</w>": 4790,
-  "turkeys</w>": 37991,
-  "turkish": 48199,
-  "turkish</w>": 9278,
-  "turks</w>": 34344,
-  "turmeric</w>": 34044,
-  "turmoil</w>": 37751,
-  "turn": 5522,
-  "turn</w>": 2105,
-  "turnaround</w>": 32719,
-  "turnbull</w>": 27863,
-  "turned</w>": 3771,
-  "turner": 42867,
-  "turner</w>": 8777,
-  "turning</w>": 4976,
-  "turno": 21377,
-  "turnout</w>": 11654,
-  "turnover</w>": 30794,
-  "turnpike</w>": 38301,
-  "turns</w>": 3185,
-  "turnt</w>": 28887,
-  "turntable</w>": 37953,
-  "turnup</w>": 30591,
-  "turo</w>": 29224,
-  "turquo": 19390,
-  "turquoise</w>": 19899,
-  "turt": 13716,
-  "turtle": 35943,
-  "turtle</w>": 10912,
-  "turtles</w>": 17862,
-  "tus": 24828,
-  "tus</w>": 7079,
-  "tusc": 17909,
-  "tuscal": 42638,
-  "tuscaloosa</w>": 44375,
-  "tuscan</w>": 42865,
-  "tuscany</w>": 20885,
-  "tuss": 31741,
-  "tut</w>": 35121,
-  "tutor": 10054,
-  "tutor</w>": 27858,
-  "tutorial</w>": 12857,
-  "tutorials</w>": 30973,
-  "tutoring</w>": 37532,
-  "tutti</w>": 46880,
-  "tutu</w>": 35845,
-  "tux": 28720,
-  "tux</w>": 49186,
-  "tuxedo</w>": 40173,
-  "tv": 3197,
-  "tv</w>": 1583,
-  "tvc</w>": 49190,
-  "tvd</w>": 25889,
-  "tvmiaw</w>": 38554,
-  "tvn</w>": 44232,
-  "tvs</w>": 27114,
-  "tvtime</w>": 19947,
-  "tvxq</w>": 43968,
-  "tw": 966,
-  "tw</w>": 12842,
-  "twa</w>": 46954,
-  "twain</w>": 30689,
-  "twal": 48126,
-  "tware</w>": 5707,
-  "twc</w>": 41217,
-  "twd": 29440,
-  "twd</w>": 19343,
-  "twdfamily</w>": 38218,
-  "twe": 18365,
-  "tweak</w>": 48870,
-  "tweaks</w>": 42661,
-  "twee": 1330,
-  "tweed</w>": 26904,
-  "tweeps</w>": 14928,
-  "tweet": 11826,
-  "tweet</w>": 1842,
-  "tweeta": 32024,
-  "tweetapicture": 40596,
-  "tweeted</w>": 7841,
-  "tweeter</w>": 32876,
-  "tweeters</w>": 31713,
-  "tweeting</w>": 8901,
-  "tweets</w>": 3560,
-  "tweetyour": 45033,
-  "twel": 14476,
-  "twelf": 39443,
-  "twelfth</w>": 44072,
-  "twell": 38722,
-  "twell</w>": 30162,
-  "twelve</w>": 19694,
-  "twent": 27027,
-  "twenti": 35167,
-  "twenty</w>": 13016,
-  "twentyon": 39609,
-  "twentyonepilots</w>": 40007,
-  "twer": 13923,
-  "twerk</w>": 28506,
-  "twi": 5537,
-  "twice</w>": 6970,
-  "twick": 34326,
-  "twickenham</w>": 39619,
-  "twil": 12804,
-  "twili": 35754,
-  "twilight": 46366,
-  "twilight</w>": 14512,
-  "twill</w>": 43703,
-  "twin": 9342,
-  "twin</w>": 6769,
-  "twine</w>": 42775,
-  "twinkle</w>": 36545,
-  "twinning</w>": 30156,
-  "twinpeaks</w>": 32042,
-  "twins</w>": 8040,
-  "twist</w>": 10589,
-  "twisted</w>": 18233,
-  "twister</w>": 45933,
-  "twists</w>": 34149,
-  "twit": 1643,
-  "twit</w>": 18704,
-  "twitart</w>": 27709,
-  "twitch": 13251,
-  "twitch</w>": 9153,
-  "twitter": 7546,
-  "twitter</w>": 1989,
-  "twitterkurds</w>": 32722,
-  "twitterstorians</w>": 35389,
-  "two": 17211,
-  "two</w>": 1237,
-  "twol": 31964,
-  "twood": 40404,
-  "twood</w>": 13245,
-  "twp</w>": 33283,
-  "twright</w>": 46778,
-  "twt</w>": 6825,
-  "twx</w>": 26830,
-  "twy": 45861,
-  "tx": 6636,
-  "tx</w>": 5200,
-  "txhsfb</w>": 34757,
-  "txlege</w>": 26995,
-  "txst</w>": 40761,
-  "txt</w>": 24595,
-  "txwx</w>": 22995,
-  "ty": 1260,
-  "ty</w>": 744,
-  "tya</w>": 41273,
-  "tycoon</w>": 36803,
-  "tye</w>": 43097,
-  "tyfree</w>": 41215,
-  "tyga</w>": 41952,
-  "tying</w>": 22559,
-  "tyl</w>": 47537,
-  "tyler": 14787,
-  "tyler</w>": 7058,
-  "tym</w>": 45772,
-  "tyne": 27000,
-  "tyne</w>": 29729,
-  "tyour": 16823,
-  "type": 15673,
-  "type</w>": 3877,
-  "typed</w>": 40753,
-  "typeface</w>": 44969,
-  "types</w>": 7543,
-  "typewriter</w>": 42180,
-  "typho": 17486,
-  "typhoon</w>": 21110,
-  "typic": 21648,
-  "typical</w>": 9854,
-  "typically</w>": 23175,
-  "typing</w>": 20102,
-  "typo": 18831,
-  "typo</w>": 29076,
-  "typography</w>": 24332,
-  "tyr": 15590,
-  "tyran": 46921,
-  "tyranny</w>": 35402,
-  "tyre": 38330,
-  "tyre</w>": 16864,
-  "tyres</w>": 21376,
-  "tyrone</w>": 30226,
-  "tyson</w>": 16616,
-  "tz": 7710,
-  "tz</w>": 4983,
-  "tzer</w>": 45267,
-  "tzky</w>": 47127,
-  "tzman</w>": 46032,
-  "tzu</w>": 34354,
-  "té": 27208,
-  "té</w>": 39694,
-  "u": 84,
-  "u</w>": 340,
-  "ua": 34075,
-  "ua</w>": 8441,
-  "uaap": 46753,
-  "uaap</w>": 43774,
-  "uab</w>": 35587,
-  "uae</w>": 9752,
-  "ual</w>": 1921,
-  "ually</w>": 10767,
-  "uan</w>": 33062,
-  "uas</w>": 38339,
-  "uav</w>": 30303,
-  "ub": 18430,
-  "ub</w>": 13494,
-  "uba</w>": 29768,
-  "ubc": 42479,
-  "ubc</w>": 29455,
-  "ube</w>": 30892,
-  "uber": 25896,
-  "uber</w>": 10668,
-  "ubi": 26758,
-  "ubio</w>": 32867,
-  "ubiquit": 48129,
-  "ubis": 28248,
-  "ubisoft</w>": 32051,
-  "ubs</w>": 43851,
-  "ubun": 28184,
-  "ubuntu</w>": 30791,
-  "uc": 4903,
-  "uc</w>": 12438,
-  "uca</w>": 30942,
-  "ucc": 44844,
-  "ucc</w>": 29138,
-  "ucci</w>": 30746,
-  "uccino</w>": 30409,
-  "ucd": 44746,
-  "ucd</w>": 43514,
-  "ucf</w>": 24414,
-  "uch": 19465,
-  "uch</w>": 22394,
-  "uchi": 37473,
-  "uci": 46354,
-  "uci</w>": 28925,
-  "uck</w>": 34189,
-  "ucl": 12013,
-  "ucl</w>": 13647,
-  "ucla": 37667,
-  "ucla</w>": 17259,
-  "ucn</w>": 49036,
-  "uconn</w>": 30549,
-  "ud": 6560,
-  "ud</w>": 5765,
-  "uda</w>": 22800,
-  "udaipur</w>": 49385,
-  "uddin</w>": 43035,
-  "ude": 37016,
-  "ude</w>": 35194,
-  "ue": 16696,
-  "ue</w>": 1190,
-  "uefa</w>": 19189,
-  "uel</w>": 24231,
-  "uer</w>": 45951,
-  "ues</w>": 2526,
-  "uf": 17777,
-  "uf</w>": 19230,
-  "ufc": 20396,
-  "ufc</w>": 6490,
-  "uff</w>": 45701,
-  "ufo</w>": 19443,
-  "ufos</w>": 48234,
-  "ug": 3754,
-  "ug</w>": 16061,
-  "uga</w>": 16056,
-  "ugand": 25965,
-  "uganda</w>": 11125,
-  "ugandan</w>": 44206,
-  "ugby</w>": 30658,
-  "ugh": 39736,
-  "ugh</w>": 12755,
-  "ugliest</w>": 43543,
-  "ugly": 36070,
-  "ugly</w>": 8159,
-  "ugu</w>": 18144,
-  "uh": 17661,
-  "uh</w>": 9219,
-  "uhc</w>": 44974,
-  "uhh</w>": 35938,
-  "uhhh</w>": 45270,
-  "uhm</w>": 35614,
-  "uhur": 29434,
-  "uhuru</w>": 35690,
-  "ui": 17326,
-  "ui</w>": 11458,
-  "uil</w>": 29395,
-  "uit": 30696,
-  "uit</w>": 47584,
-  "uj": 33266,
-  "uji</w>": 39672,
-  "uk": 2294,
-  "uk</w>": 1432,
-  "uka</w>": 23294,
-  "uke": 48836,
-  "uke</w>": 28577,
-  "uked": 48987,
-  "uki": 37435,
-  "uki</w>": 9009,
-  "ukin": 34996,
-  "ukip</w>": 20360,
-  "uklabour</w>": 36902,
-  "ukmfg</w>": 38764,
-  "uko</w>": 33562,
-  "ukone</w>": 24682,
-  "ukrain": 15468,
-  "ukraine</w>": 7768,
-  "ukrainian</w>": 16927,
-  "ukrunchat</w>": 34481,
-  "uku": 29541,
-  "uku</w>": 36082,
-  "ukulele</w>": 39094,
-  "ul": 914,
-  "ul</w>": 6625,
-  "ula": 34104,
-  "ula</w>": 9506,
-  "ular</w>": 4927,
-  "ulary</w>": 21701,
-  "ulate</w>": 20467,
-  "ulation</w>": 32896,
-  "ule</w>": 35616,
-  "ules</w>": 26274,
-  "ulf</w>": 49331,
-  "uli": 41841,
-  "uli</w>": 22174,
-  "ull": 33254,
-  "ulla</w>": 30577,
-  "ullah</w>": 45310,
-  "ullivan</w>": 45252,
-  "ulls</w>": 37418,
-  "ulo": 46084,
-  "ulo</w>": 36738,
-  "ulous": 42490,
-  "ulous</w>": 4281,
-  "ulously</w>": 20167,
-  "ulster": 29709,
-  "ulster</w>": 24639,
-  "ult</w>": 4380,
-  "ulti": 11925,
-  "ulties</w>": 21884,
-  "ultimat": 16522,
-  "ultimate": 34684,
-  "ultimate</w>": 5377,
-  "ultimatefan": 48372,
-  "ultimatefanlive</w>": 48644,
-  "ultimately</w>": 23023,
-  "ultr": 25636,
-  "ultra": 11398,
-  "ultra</w>": 8118,
-  "ultram": 44519,
-  "ultrasound</w>": 29717,
-  "ulture</w>": 22272,
-  "ulty</w>": 8036,
-  "ulu": 41815,
-  "ulu</w>": 15659,
-  "ulum</w>": 17235,
-  "uly": 33220,
-  "ulysses</w>": 46114,
-  "um": 1622,
-  "um</w>": 1008,
-  "uma": 29982,
-  "uma</w>": 9256,
-  "uman</w>": 27112,
-  "umar</w>": 25656,
-  "umass</w>": 39390,
-  "umatic</w>": 45006,
-  "umb": 7493,
-  "umber": 19195,
-  "umbrel": 34773,
-  "umbrella</w>": 17143,
-  "umbrellas</w>": 42782,
-  "umbria</w>": 39287,
-  "umc</w>": 39491,
-  "umd</w>": 42067,
-  "ume": 38480,
-  "umen</w>": 42832,
-  "uments</w>": 25924,
-  "umer</w>": 23539,
-  "umes</w>": 21403,
-  "umi": 48772,
-  "umi</w>": 15458,
-  "umich": 41294,
-  "umin</w>": 31542,
-  "umm": 26129,
-  "umm</w>": 21215,
-  "ummer</w>": 47628,
-  "ummm</w>": 33665,
-  "umni</w>": 31739,
-  "ump": 22224,
-  "umpire</w>": 36214,
-  "ums</w>": 8643,
-  "umu</w>": 39788,
-  "un": 569,
-  "un</w>": 2271,
-  "una</w>": 6385,
-  "unable</w>": 17793,
-  "unacceptable</w>": 25234,
-  "unanim": 20800,
-  "unanimous</w>": 33520,
-  "unanimously</w>": 31798,
-  "unanswered</w>": 43611,
-  "unarmed</w>": 41541,
-  "unas</w>": 41366,
-  "unavailable</w>": 48430,
-  "unaware</w>": 33347,
-  "unbeat": 37056,
-  "unbeatable</w>": 40267,
-  "unbeaten</w>": 19228,
-  "unbeliev": 11383,
-  "unbelievable</w>": 13306,
-  "unbelievably</w>": 33781,
-  "unborn</w>": 37257,
-  "unboxing</w>": 32866,
-  "unbreakable</w>": 32956,
-  "unbroken</w>": 49271,
-  "unc": 24921,
-  "unc</w>": 15322,
-  "uncanny</w>": 32556,
-  "uncertain</w>": 30384,
-  "uncertainty</w>": 23956,
-  "unch</w>": 1527,
-  "unchanged</w>": 34272,
-  "uncharted</w>": 34560,
-  "unci": 25521,
-  "unciation</w>": 34117,
-  "uncle": 31537,
-  "uncle</w>": 8002,
-  "unclear</w>": 32955,
-  "uncles</w>": 45335,
-  "uncomfortable</w>": 22470,
-  "uncommon</w>": 34888,
-  "uncondition": 46561,
-  "unconditional</w>": 31112,
-  "unconscious</w>": 34791,
-  "unconstitutional</w>": 43585,
-  "unconventional</w>": 39440,
-  "uncover</w>": 33031,
-  "uncovered</w>": 28234,
-  "uncture</w>": 38736,
-  "uncut</w>": 41056,
-  "und": 9762,
-  "und</w>": 9732,
-  "unda</w>": 39932,
-  "undant</w>": 25377,
-  "unday</w>": 29338,
-  "unde</w>": 45226,
-  "undead</w>": 40105,
-  "undecided</w>": 49368,
-  "undefeated</w>": 15326,
-  "undeni": 38424,
-  "under": 1473,
-  "under</w>": 1798,
-  "underage</w>": 45669,
-  "underattack</w>": 35075,
-  "undercover</w>": 21595,
-  "underdog</w>": 44266,
-  "undere": 21675,
-  "underestim": 23348,
-  "underestimate</w>": 31794,
-  "undergo</w>": 31545,
-  "undergoing</w>": 26419,
-  "undergrad</w>": 38331,
-  "undergraduate</w>": 24320,
-  "underground</w>": 9396,
-  "undering</w>": 30826,
-  "underlying</w>": 31812,
-  "undermine</w>": 42839,
-  "underneath</w>": 20857,
-  "underrated</w>": 19494,
-  "unders</w>": 20376,
-  "understand": 47582,
-  "understand</w>": 4600,
-  "understanding</w>": 7522,
-  "understands</w>": 21607,
-  "understatement</w>": 38296,
-  "understood</w>": 17303,
-  "undertaker</w>": 40144,
-  "undertaking</w>": 49067,
-  "undertale</w>": 48283,
-  "underthe": 41161,
-  "underwater</w>": 14760,
-  "underway</w>": 6273,
-  "underwear</w>": 21154,
-  "underwood</w>": 21474,
-  "underworld</w>": 34760,
-  "undi</w>": 23845,
-  "undisclosed</w>": 39334,
-  "undo</w>": 35454,
-  "undocumented</w>": 35414,
-  "undoub": 38836,
-  "undoubtedly</w>": 42204,
-  "undp</w>": 26691,
-  "une": 4522,
-  "une</w>": 10966,
-  "unearth": 32716,
-  "unearthed</w>": 36632,
-  "unemp": 15139,
-  "unemployed</w>": 32721,
-  "unemployment</w>": 19350,
-  "unes</w>": 6394,
-  "unesco</w>": 16216,
-  "uneven</w>": 43204,
-  "unex": 9484,
-  "unexpe": 10802,
-  "unexpec": 31829,
-  "unexpected</w>": 12293,
-  "unexpectedly</w>": 35622,
-  "unf": 29285,
-  "unfair</w>": 22193,
-  "unfinished</w>": 26526,
-  "unfit</w>": 45367,
-  "unfold</w>": 38681,
-  "unfollow</w>": 38797,
-  "unfor": 14010,
-  "unforgettable</w>": 16173,
-  "unfortun": 10194,
-  "unfortunate</w>": 22361,
-  "unfortunately</w>": 12863,
-  "unfpa</w>": 45048,
-  "ung": 10439,
-  "ung</w>": 4334,
-  "unga</w>": 19151,
-  "ungsoo</w>": 25582,
-  "unh": 25365,
-  "unhappy</w>": 26528,
-  "unhcr</w>": 43451,
-  "unhealthy</w>": 30994,
-  "uni": 1107,
-  "uni</w>": 5926,
-  "unic": 7648,
-  "unicef": 38286,
-  "unicef</w>": 19259,
-  "unicorn</w>": 15660,
-  "unicorns</w>": 35183,
-  "unidenti": 33707,
-  "unidentified</w>": 35563,
-  "unification</w>": 45036,
-  "unified</w>": 20876,
-  "uniform</w>": 11075,
-  "uniforms</w>": 17838,
-  "unil": 32388,
-  "unilever</w>": 48654,
-  "uniof": 21218,
-  "union": 14210,
-  "union</w>": 3503,
-  "unions</w>": 18353,
-  "unis": 30482,
-  "unis</w>": 39266,
-  "unisex</w>": 27609,
-  "unison</w>": 46694,
-  "unit": 28522,
-  "unit</w>": 5695,
-  "unite": 15078,
-  "unite</w>": 11305,
-  "uniteblue</w>": 20935,
-  "united": 10898,
-  "united</w>": 2690,
-  "unitedstates</w>": 39636,
-  "unitedway": 47486,
-  "unites</w>": 32061,
-  "uniting</w>": 31318,
-  "units</w>": 10394,
-  "unity": 38300,
-  "unity</w>": 8581,
-  "univ": 36680,
-  "univ</w>": 14896,
-  "univer": 15574,
-  "univers": 5855,
-  "universal": 19148,
-  "universal</w>": 8754,
-  "universe</w>": 6104,
-  "universi": 41692,
-  "universit": 26019,
-  "universities</w>": 16408,
-  "university": 40728,
-  "university</w>": 2182,
-  "universityof": 46158,
-  "unk</w>": 5542,
-  "unknown</w>": 8685,
-  "unl</w>": 43807,
-  "unlawful</w>": 42305,
-  "unle": 19677,
-  "unlea": 23893,
-  "unleash</w>": 26706,
-  "unleashed</w>": 27955,
-  "unless</w>": 10602,
-  "unlike</w>": 16694,
-  "unlikely</w>": 18904,
-  "unlimited</w>": 11015,
-  "unlock</w>": 18649,
-  "unlocked</w>": 16770,
-  "unlocking</w>": 40810,
-  "unlucky</w>": 35029,
-  "unlv</w>": 42283,
-  "unmanned</w>": 36751,
-  "unmatched</w>": 46054,
-  "unn</w>": 38364,
-  "unnamed</w>": 44985,
-  "unnecessary</w>": 24100,
-  "unner</w>": 31481,
-  "unning</w>": 43282,
-  "unnoticed</w>": 42807,
-  "uno": 32446,
-  "uno</w>": 17078,
-  "unofficial</w>": 22506,
-  "unpacking</w>": 43589,
-  "unpaid</w>": 32811,
-  "unparalleled</w>": 44396,
-  "unplugged</w>": 31724,
-  "unpopular</w>": 40232,
-  "unprece": 23054,
-  "unprecedented</w>": 23344,
-  "unpredictable</w>": 38684,
-  "unra": 45150,
-  "unreal": 46980,
-  "unreal</w>": 15636,
-  "unrelated</w>": 38644,
-  "unreleased</w>": 29654,
-  "unrest</w>": 36452,
-  "uns</w>": 25908,
-  "unsafe</w>": 32071,
-  "unsc</w>": 36395,
-  "unseen</w>": 19069,
-  "unsigned</w>": 39346,
-  "unsolved</w>": 40836,
-  "unsplash</w>": 46196,
-  "unstable</w>": 34730,
-  "unstopp": 22105,
-  "unstoppable</w>": 23484,
-  "unsuccessful</w>": 47478,
-  "unsung</w>": 33015,
-  "unsure</w>": 26396,
-  "unt": 19654,
-  "unt</w>": 6537,
-  "until</w>": 1942,
-  "untitled</w>": 21309,
-  "unto</w>": 19801,
-  "untold</w>": 32206,
-  "untouch": 44509,
-  "untouched</w>": 42764,
-  "unused</w>": 29636,
-  "unusual</w>": 12613,
-  "unusually</w>": 36465,
-  "unve": 6685,
-  "unveil</w>": 20483,
-  "unveiled</w>": 13572,
-  "unveiling</w>": 20327,
-  "unveils</w>": 15057,
-  "unwanted</w>": 25285,
-  "unwind</w>": 34064,
-  "unya</w>": 37142,
-  "uo": 30874,
-  "uo</w>": 36162,
-  "uof": 11155,
-  "uoft</w>": 37329,
-  "uon": 48144,
-  "uous</w>": 40185,
-  "up": 1083,
-  "up</w>": 705,
-  "upa</w>": 31727,
-  "upbeat</w>": 39201,
-  "upcoming</w>": 4196,
-  "upcycled</w>": 46552,
-  "upd": 3226,
-  "update</w>": 2491,
-  "updated</w>": 5974,
-  "updates</w>": 4904,
-  "updating</w>": 22792,
-  "uper": 38082,
-  "uper</w>": 33056,
-  "upfront</w>": 42064,
-  "upgrade</w>": 10365,
-  "upgraded</w>": 18577,
-  "upgrades</w>": 21253,
-  "upgrading</w>": 34368,
-  "uph": 14128,
-  "uphill</w>": 42767,
-  "uphol": 26195,
-  "uphold</w>": 43897,
-  "upholstery</w>": 44556,
-  "upl": 41939,
-  "uplift</w>": 45389,
-  "uplifting</w>": 29546,
-  "upload</w>": 13968,
-  "uploaded</w>": 16793,
-  "uploading</w>": 30145,
-  "upon": 23524,
-  "upon</w>": 5067,
-  "upp": 19549,
-  "upp</w>": 45946,
-  "upper": 22465,
-  "upper</w>": 7067,
-  "upri": 15982,
-  "upright</w>": 29818,
-  "uprising</w>": 26006,
-  "upro": 28922,
-  "ups</w>": 6926,
-  "upscale</w>": 47501,
-  "upset</w>": 11214,
-  "upsets</w>": 42637,
-  "upside</w>": 15362,
-  "upstairs</w>": 21387,
-  "upstate</w>": 33335,
-  "upstream</w>": 45517,
-  "upthe": 31510,
-  "upto</w>": 26575,
-  "upton</w>": 31910,
-  "uptown</w>": 23807,
-  "upward</w>": 32526,
-  "upwards</w>": 34915,
-  "uq</w>": 39591,
-  "ur": 565,
-  "ur</w>": 1775,
-  "ura": 29337,
-  "ura</w>": 3544,
-  "urable</w>": 40194,
-  "ural": 23547,
-  "ural</w>": 33948,
-  "uran</w>": 16197,
-  "uranium</w>": 29850,
-  "urban": 7931,
-  "urban</w>": 5800,
-  "urbanart</w>": 40834,
-  "urd</w>": 47880,
-  "urday</w>": 19742,
-  "urdu</w>": 29976,
-  "ure": 5514,
-  "ure</w>": 726,
-  "ured</w>": 4210,
-  "urer</w>": 20864,
-  "ures</w>": 2288,
-  "urg</w>": 35995,
-  "urge</w>": 14852,
-  "urged</w>": 23790,
-  "urgency</w>": 47612,
-  "urgent</w>": 13693,
-  "urgently</w>": 34534,
-  "urges</w>": 16692,
-  "urging</w>": 27748,
-  "uri": 11052,
-  "uri</w>": 8699,
-  "urie</w>": 46429,
-  "urin": 45245,
-  "urine</w>": 28864,
-  "uring</w>": 1351,
-  "url</w>": 23464,
-  "urn</w>": 38075,
-  "uro": 17343,
-  "uro</w>": 5925,
-  "urology</w>": 48585,
-  "urope</w>": 14918,
-  "urs</w>": 4794,
-  "urself</w>": 31942,
-  "urst</w>": 19181,
-  "urstruly": 34751,
-  "urstrulymahesh</w>": 35314,
-  "ursula</w>": 38390,
-  "urt</w>": 24309,
-  "uru": 16322,
-  "uru</w>": 11768,
-  "uruguay</w>": 27931,
-  "urus</w>": 14246,
-  "urve": 24583,
-  "ury": 8642,
-  "ury</w>": 2106,
-  "us": 904,
-  "us</w>": 718,
-  "usa": 9491,
-  "usa</w>": 2547,
-  "usability</w>": 46736,
-  "usable</w>": 22890,
-  "usaf</w>": 25017,
-  "usage</w>": 19137,
-  "usaid</w>": 34507,
-  "usair": 36742,
-  "usairforce</w>": 42179,
-  "usarmy</w>": 19132,
-  "usatoday</w>": 40263,
-  "usav": 36056,
-  "usb</w>": 10281,
-  "usc": 13346,
-  "usc</w>": 14995,
-  "uscg</w>": 43932,
-  "usd</w>": 7485,
-  "usda</w>": 25829,
-  "use": 4419,
-  "use</w>": 1483,
-  "used": 32289,
-  "used</w>": 2026,
-  "useful</w>": 9784,
-  "useless</w>": 20154,
-  "usemb": 39700,
-  "user": 21248,
-  "user</w>": 7031,
-  "username</w>": 28162,
-  "users</w>": 7433,
-  "uses</w>": 5282,
-  "useum</w>": 45189,
-  "usf": 32385,
-  "usf</w>": 28942,
-  "usgs</w>": 35103,
-  "ush": 12001,
-  "ush</w>": 18335,
-  "usher</w>": 27411,
-  "ushi</w>": 47734,
-  "usi</w>": 25540,
-  "usic": 34909,
-  "usic</w>": 16753,
-  "using</w>": 1996,
-  "usky</w>": 45778,
-  "usl</w>": 42113,
-  "usm</w>": 40041,
-  "usmc</w>": 21678,
-  "usmnt</w>": 30662,
-  "usn</w>": 40579,
-  "usnavy</w>": 24500,
-  "usnews</w>": 43752,
-  "uso</w>": 21539,
-  "usopen</w>": 21782,
-  "usp": 26651,
-  "usps</w>": 39980,
-  "usrc</w>": 33274,
-  "uss": 11545,
-  "uss</w>": 9260,
-  "ussia</w>": 29553,
-  "ussoccer</w>": 42828,
-  "ussr</w>": 32697,
-  "ust": 35501,
-  "ust</w>": 24725,
-  "usu": 4254,
-  "usu</w>": 40434,
-  "usual</w>": 6129,
-  "usually</w>": 8296,
-  "usur": 45582,
-  "uswnt</w>": 35255,
-  "ut": 1419,
-  "ut</w>": 3641,
-  "uta": 42706,
-  "uta</w>": 25925,
-  "utah": 27474,
-  "utah</w>": 9312,
-  "utc</w>": 18196,
-  "utd</w>": 10493,
-  "ute": 16856,
-  "ute</w>": 3130,
-  "uten": 32089,
-  "uter": 39197,
-  "utes</w>": 2850,
-  "uth": 48819,
-  "uth</w>": 44750,
-  "uti</w>": 24568,
-  "util": 28824,
-  "utili": 17015,
-  "utilities</w>": 27210,
-  "utility</w>": 14941,
-  "utilize</w>": 36861,
-  "utilized</w>": 47604,
-  "utilizing</w>": 40212,
-  "utm</w>": 47853,
-  "utmost</w>": 42352,
-  "uto": 18866,
-  "uto</w>": 13683,
-  "utopia</w>": 34433,
-  "utpol</w>": 42605,
-  "utr": 48726,
-  "utrecht</w>": 37216,
-  "uts</w>": 11740,
-  "utsa</w>": 37528,
-  "utt": 17096,
-  "uttar</w>": 40168,
-  "uttarak": 33755,
-  "uttarakhand</w>": 35655,
-  "utter": 18769,
-  "utter</w>": 24558,
-  "utterly</w>": 21353,
-  "utto</w>": 42183,
-  "utv</w>": 36351,
-  "utz</w>": 45320,
-  "uu": 5702,
-  "uu</w>": 14553,
-  "uuu": 44355,
-  "uuu</w>": 27656,
-  "uuuu": 16720,
-  "uuuu</w>": 40797,
-  "uv": 23777,
-  "uv</w>": 15977,
-  "uva</w>": 23908,
-  "uw": 13933,
-  "uw</w>": 19166,
-  "uwe</w>": 48785,
-  "uwu</w>": 35544,
-  "ux": 9251,
-  "ux</w>": 6213,
-  "uy": 31929,
-  "uy</w>": 48113,
-  "uz": 19398,
-  "uz</w>": 36991,
-  "uzbe": 43007,
-  "uzbekistan</w>": 45024,
-  "uzzi</w>": 48210,
-  "v": 85,
-  "v</w>": 341,
-  "va": 4648,
-  "va</w>": 1892,
-  "vaa</w>": 37488,
-  "vable</w>": 23088,
-  "vac": 3125,
-  "vac</w>": 34085,
-  "vaca</w>": 48215,
-  "vacancies</w>": 26333,
-  "vacancy</w>": 21247,
-  "vacant</w>": 25262,
-  "vacation": 28336,
-  "vacation</w>": 6561,
-  "vacations</w>": 29002,
-  "vacay</w>": 44716,
-  "vacc": 13342,
-  "vaccin": 19164,
-  "vaccinated</w>": 48134,
-  "vaccination</w>": 32518,
-  "vaccine": 47780,
-  "vaccine</w>": 17493,
-  "vaccines</w>": 25860,
-  "vach": 46211,
-  "vacu": 16058,
-  "vacuum</w>": 18420,
-  "vad": 11880,
-  "vada</w>": 46759,
-  "vader</w>": 21908,
-  "vae</w>": 39384,
-  "vag": 13015,
-  "vague</w>": 42154,
-  "vah</w>": 26921,
-  "vai": 26893,
-  "vai</w>": 36802,
-  "vail</w>": 21189,
-  "vain</w>": 25538,
-  "vais</w>": 28719,
-  "vaj": 34206,
-  "vak": 16288,
-  "vak</w>": 41597,
-  "val": 1214,
-  "val</w>": 1560,
-  "vala</w>": 48525,
-  "valdez</w>": 40617,
-  "vale": 35554,
-  "vale</w>": 10820,
-  "valedic": 43525,
-  "valen": 12630,
-  "valence</w>": 30225,
-  "valenci": 34183,
-  "valencia</w>": 16559,
-  "valent": 3655,
-  "valent</w>": 15300,
-  "valentin</w>": 48631,
-  "valentina</w>": 43741,
-  "valentine": 11208,
-  "valentine</w>": 5876,
-  "valentines</w>": 10259,
-  "valentinesday</w>": 12369,
-  "valentino</w>": 29624,
-  "valeri": 31951,
-  "valerie</w>": 25592,
-  "valet</w>": 45749,
-  "vali": 8230,
-  "valiant</w>": 33804,
-  "valid</w>": 15126,
-  "validation</w>": 32536,
-  "valkyrie</w>": 42326,
-  "vall": 23523,
-  "vall</w>": 35295,
-  "vallarta</w>": 47874,
-  "valle": 24857,
-  "valle</w>": 29105,
-  "valley": 18354,
-  "valley</w>": 3136,
-  "valleys</w>": 28649,
-  "valor</w>": 30930,
-  "vals</w>": 7431,
-  "valu": 6291,
-  "valuable</w>": 10056,
-  "valuation</w>": 25894,
-  "value": 41358,
-  "value</w>": 4602,
-  "valued</w>": 17801,
-  "values</w>": 8857,
-  "valve</w>": 17001,
-  "valves</w>": 33517,
-  "vam": 9983,
-  "vamo": 46718,
-  "vamos</w>": 30346,
-  "vamp": 10680,
-  "vampi": 47017,
-  "vampire": 47576,
-  "vampire</w>": 13220,
-  "vampires</w>": 30868,
-  "vamps</w>": 44810,
-  "van": 2446,
-  "van</w>": 2451,
-  "vana</w>": 20543,
-  "vanc": 6320,
-  "vance</w>": 31447,
-  "vancou": 6750,
-  "vancouver": 31904,
-  "vancouver</w>": 7208,
-  "vand": 11691,
-  "vandalism</w>": 45664,
-  "vander": 16264,
-  "vanderbilt</w>": 33524,
-  "vandy": 39268,
-  "vane</w>": 43828,
-  "vaness": 13328,
-  "vanessa</w>": 16836,
-  "vangogh</w>": 47849,
-  "vanguard</w>": 27916,
-  "vani": 15396,
-  "vani</w>": 26459,
-  "vania</w>": 10998,
-  "vanilla</w>": 11974,
-  "vanished</w>": 43783,
-  "vanishing</w>": 48296,
-  "vanity": 48353,
-  "vanity</w>": 22938,
-  "vans</w>": 11711,
-  "vant": 26298,
-  "vantage</w>": 31749,
-  "vanu": 42892,
-  "vanuatu</w>": 48766,
-  "vap": 10462,
-  "vape": 25423,
-  "vape</w>": 20219,
-  "vaping</w>": 29403,
-  "vapor": 37167,
-  "vapor</w>": 30729,
-  "vapori": 46183,
-  "var": 3187,
-  "var</w>": 12998,
-  "vara</w>": 47492,
-  "varan": 36585,
-  "varanasi</w>": 39364,
-  "vard": 21866,
-  "vard</w>": 8773,
-  "vardy</w>": 47371,
-  "vare": 38159,
-  "vares</w>": 42895,
-  "vargas</w>": 32752,
-  "vari": 3354,
-  "variable</w>": 26416,
-  "varian</w>": 34334,
-  "variant</w>": 20293,
-  "variants</w>": 38312,
-  "variation</w>": 26420,
-  "variations</w>": 29025,
-  "varied</w>": 32334,
-  "varies</w>": 32543,
-  "varieties</w>": 23805,
-  "variety</w>": 8396,
-  "various</w>": 7395,
-  "varsity": 43716,
-  "varsity</w>": 8574,
-  "varun": 48120,
-  "varun</w>": 22069,
-  "vary</w>": 18855,
-  "varying</w>": 36456,
-  "vas": 5669,
-  "vas</w>": 5995,
-  "vasc</w>": 40995,
-  "vascular</w>": 19218,
-  "vase</w>": 20431,
-  "vasi": 49092,
-  "vast": 24413,
-  "vast</w>": 16414,
-  "vastly</w>": 48257,
-  "vat": 11588,
-  "vat</w>": 18363,
-  "vatican</w>": 21030,
-  "vation</w>": 37884,
-  "vau": 6391,
-  "vaugh": 25158,
-  "vaughan</w>": 21392,
-  "vaughn</w>": 29013,
-  "vaul": 27469,
-  "vault</w>": 15240,
-  "vaus</w>": 40217,
-  "vaux": 27403,
-  "vauxhall</w>": 29173,
-  "vaw</w>": 47952,
-  "vay": 48000,
-  "vaz": 38142,
-  "vb": 29365,
-  "vb</w>": 8778,
-  "vball</w>": 38329,
-  "vc": 28670,
-  "vc</w>": 7952,
-  "vcs</w>": 43528,
-  "vcu</w>": 40102,
-  "vd</w>": 9515,
-  "vday</w>": 42055,
-  "ve": 673,
-  "ve</w>": 563,
-  "vea</w>": 43798,
-  "veal</w>": 36616,
-  "veau</w>": 24419,
-  "vec": 19912,
-  "vector": 40453,
-  "vector</w>": 21533,
-  "ved": 19515,
-  "ved</w>": 1102,
-  "veda</w>": 44401,
-  "vedere</w>": 45660,
-  "vedi</w>": 47971,
-  "vee": 35708,
-  "vee</w>": 17073,
-  "veen</w>": 22432,
-  "veer": 21243,
-  "veer</w>": 22058,
-  "veg": 9048,
-  "veg</w>": 16460,
-  "vega</w>": 22930,
-  "vegan": 15705,
-  "vegan</w>": 5615,
-  "vegans</w>": 48514,
-  "vegas": 20288,
-  "vegas</w>": 4413,
-  "vege": 6219,
-  "vegetable</w>": 15725,
-  "vegetables</w>": 14119,
-  "vegetarian</w>": 14600,
-  "vegetation</w>": 33947,
-  "veggie</w>": 19401,
-  "veggies</w>": 16767,
-  "vehic": 3973,
-  "vehicle</w>": 5299,
-  "vehicles</w>": 8361,
-  "veil</w>": 23516,
-  "vein</w>": 29169,
-  "veins</w>": 28867,
-  "veit</w>": 30620,
-  "vel": 942,
-  "vel</w>": 1287,
-  "vela</w>": 34898,
-  "veld</w>": 34011,
-  "veled</w>": 15370,
-  "veli</w>": 49166,
-  "veling</w>": 37970,
-  "vell": 21173,
-  "vell</w>": 32997,
-  "velo": 14357,
-  "velo</w>": 33850,
-  "velocity</w>": 23811,
-  "vels</w>": 5109,
-  "velve": 37849,
-  "velvet</w>": 11063,
-  "vely</w>": 1708,
-  "vember</w>": 3477,
-  "vement</w>": 3129,
-  "vements</w>": 11104,
-  "ven": 1240,
-  "ven</w>": 1638,
-  "vena</w>": 47442,
-  "vend": 10851,
-  "vending</w>": 29202,
-  "vendor</w>": 21261,
-  "vendors</w>": 20353,
-  "vene": 5365,
-  "veness</w>": 10516,
-  "venetian</w>": 34336,
-  "venezia</w>": 34139,
-  "venezu": 10939,
-  "venezuela</w>": 12839,
-  "venezuelan</w>": 34699,
-  "veng</w>": 31526,
-  "venge": 27757,
-  "vengeance</w>": 32057,
-  "veni</w>": 31142,
-  "venice</w>": 11010,
-  "vening</w>": 47532,
-  "venison</w>": 40037,
-  "venom": 42491,
-  "venom</w>": 21588,
-  "vens</w>": 20884,
-  "vent": 4373,
-  "vent</w>": 5687,
-  "ventil": 39522,
-  "ventilation</w>": 35066,
-  "venting</w>": 15731,
-  "vention</w>": 4122,
-  "vents</w>": 12833,
-  "ventu": 48217,
-  "ventura</w>": 20921,
-  "venture": 37046,
-  "venture</w>": 12543,
-  "ventures</w>": 20829,
-  "venue</w>": 5097,
-  "venues</w>": 18120,
-  "venus</w>": 14691,
-  "ver": 624,
-  "ver</w>": 667,
-  "vera</w>": 13350,
-  "verage</w>": 3725,
-  "verb</w>": 34952,
-  "verbal</w>": 26522,
-  "verbally</w>": 39985,
-  "verbs</w>": 45687,
-  "verde</w>": 16935,
-  "verdi</w>": 42306,
-  "verdict</w>": 18030,
-  "vere": 11135,
-  "vere</w>": 34707,
-  "vered</w>": 2868,
-  "verge</w>": 23913,
-  "veri": 11638,
-  "verification</w>": 33521,
-  "verified</w>": 22555,
-  "verify</w>": 34722,
-  "vering</w>": 4630,
-  "veriz": 19707,
-  "verizon</w>": 21532,
-  "verma</w>": 41261,
-  "vermont</w>": 19241,
-  "vern": 2214,
-  "vern</w>": 12586,
-  "verne</w>": 45553,
-  "vernon</w>": 18348,
-  "vero": 45217,
-  "vero</w>": 38208,
-  "verona</w>": 31819,
-  "veronic": 39551,
-  "veronica</w>": 24039,
-  "vers": 1219,
-  "vers</w>": 2094,
-  "versa</w>": 35765,
-  "versace</w>": 25422,
-  "versail": 29857,
-  "versailles</w>": 32129,
-  "versary</w>": 2940,
-  "versatile</w>": 18110,
-  "versatility</w>": 41340,
-  "verse": 39466,
-  "verse</w>": 3131,
-  "verses</w>": 30769,
-  "versi": 8934,
-  "version</w>": 3273,
-  "versions</w>": 16190,
-  "versity</w>": 1906,
-  "verst": 42484,
-  "verstappen</w>": 45064,
-  "versus</w>": 14548,
-  "versy</w>": 18522,
-  "vert</w>": 11742,
-  "verte": 35158,
-  "verted</w>": 48173,
-  "verti": 30459,
-  "vertical</w>": 14293,
-  "vertigo</w>": 42477,
-  "verton</w>": 40632,
-  "verts</w>": 37265,
-  "very": 11698,
-  "very</w>": 1070,
-  "veryday</w>": 37944,
-  "verything</w>": 45174,
-  "ves": 9616,
-  "ves</w>": 1003,
-  "vesmatter</w>": 47636,
-  "vespa</w>": 46029,
-  "vessel</w>": 16387,
-  "vessels</w>": 22822,
-  "vest": 31657,
-  "vest</w>": 12473,
-  "vesti": 40349,
-  "vests</w>": 41906,
-  "vet": 12294,
-  "vet</w>": 5951,
-  "veter": 4330,
-  "veteran": 20797,
-  "veteran</w>": 8814,
-  "veterans</w>": 7092,
-  "veteransday</w>": 26409,
-  "veterin": 43959,
-  "veterinary</w>": 25458,
-  "veto</w>": 36570,
-  "vets</w>": 13113,
-  "vette</w>": 17045,
-  "vettel</w>": 28700,
-  "vevo</w>": 35141,
-  "vex": 36187,
-  "vex</w>": 43978,
-  "vey": 34792,
-  "vey</w>": 3884,
-  "vez": 35987,
-  "vez</w>": 17226,
-  "vf</w>": 25966,
-  "vfl</w>": 33726,
-  "vfx</w>": 30149,
-  "vg": 40591,
-  "vg</w>": 22346,
-  "vh": 46953,
-  "vh</w>": 23847,
-  "vhs</w>": 21932,
-  "vi": 603,
-  "vi</w>": 4259,
-  "via</w>": 1048,
-  "viable</w>": 25752,
-  "viadu": 37012,
-  "viaduct</w>": 39113,
-  "vial</w>": 39951,
-  "vian": 40487,
-  "vian</w>": 16124,
-  "vibe": 37974,
-  "vibe</w>": 12813,
-  "vibes</w>": 7764,
-  "vibr": 9527,
-  "vibrant</w>": 14270,
-  "vibration</w>": 37456,
-  "vibrations</w>": 43660,
-  "vic": 1555,
-  "vic</w>": 4412,
-  "vica</w>": 46168,
-  "vicar</w>": 43899,
-  "vice": 43572,
-  "vice</w>": 6931,
-  "vicente</w>": 39411,
-  "vices</w>": 8332,
-  "vich</w>": 24143,
-  "vici": 46670,
-  "vicious</w>": 25177,
-  "vick": 15116,
-  "vick</w>": 29704,
-  "vickers</w>": 48452,
-  "vicki</w>": 34927,
-  "vicky": 37176,
-  "vicky</w>": 25788,
-  "victi": 6861,
-  "victim</w>": 9133,
-  "victims</w>": 7131,
-  "victor": 2423,
-  "victor</w>": 10690,
-  "victori": 17555,
-  "victoria": 39286,
-  "victoria</w>": 6127,
-  "victorian</w>": 12350,
-  "victorias": 47791,
-  "victories</w>": 24577,
-  "victorious</w>": 24033,
-  "victory": 36668,
-  "victory</w>": 4127,
-  "vid": 17233,
-  "vid</w>": 9284,
-  "vida</w>": 19015,
-  "vidal</w>": 36678,
-  "vide": 1334,
-  "vide</w>": 45244,
-  "video": 9478,
-  "video</w>": 1455,
-  "videogame</w>": 35097,
-  "videogames</w>": 21149,
-  "videos</w>": 6081,
-  "vids</w>": 23035,
-  "vidy": 29639,
-  "vidya</w>": 45264,
-  "vie": 922,
-  "vie</w>": 8538,
-  "vien": 36493,
-  "vienna</w>": 12670,
-  "vier": 15352,
-  "vier</w>": 11987,
-  "viera</w>": 21114,
-  "viernes</w>": 33826,
-  "vies</w>": 22458,
-  "viest</w>": 31979,
-  "viet": 17558,
-  "viet</w>": 13128,
-  "vietnam": 19558,
-  "vietnam</w>": 8623,
-  "vietnamese</w>": 22382,
-  "view": 12004,
-  "view</w>": 1093,
-  "viewed</w>": 7226,
-  "viewer</w>": 15061,
-  "viewers</w>": 14275,
-  "viewing</w>": 7124,
-  "viewpoint</w>": 41604,
-  "views</w>": 2758,
-  "vig": 8549,
-  "vig</w>": 45083,
-  "vigil": 21538,
-  "vigil</w>": 19896,
-  "vigilant</w>": 43026,
-  "vigne": 40447,
-  "vigne</w>": 34581,
-  "vigo</w>": 44097,
-  "vigor": 26781,
-  "vii</w>": 17759,
-  "viii</w>": 20414,
-  "vijay": 12014,
-  "vijay</w>": 10823,
-  "vijaysethu": 47966,
-  "vik": 10764,
-  "vik</w>": 17181,
-  "vika</w>": 39562,
-  "vikas</w>": 37116,
-  "viking": 26663,
-  "viking</w>": 15897,
-  "vikings</w>": 11713,
-  "vikram": 41136,
-  "vikram</w>": 24314,
-  "viktor</w>": 36101,
-  "vil": 1338,
-  "vil</w>": 3000,
-  "vila</w>": 37505,
-  "vile</w>": 27247,
-  "vill": 10481,
-  "vill</w>": 45698,
-  "villa": 3203,
-  "villa</w>": 7754,
-  "village": 34584,
-  "village</w>": 4331,
-  "villagers</w>": 34283,
-  "villages</w>": 17621,
-  "villain</w>": 15425,
-  "villains</w>": 25271,
-  "villanova</w>": 44025,
-  "villar": 35164,
-  "villas</w>": 28907,
-  "ville": 11110,
-  "ville</w>": 1930,
-  "villen": 46177,
-  "villi": 36907,
-  "vimeo</w>": 48720,
-  "vin": 1379,
-  "vin</w>": 2558,
-  "vina</w>": 35682,
-  "vinai": 37396,
-  "vinaigrette</w>": 39876,
-  "vinay": 43952,
-  "vince": 32429,
-  "vince</w>": 6236,
-  "vincen": 33402,
-  "vincent": 29069,
-  "vincent</w>": 10357,
-  "vinci</w>": 30199,
-  "vind</w>": 20275,
-  "vindic": 39582,
-  "vine": 8471,
-  "vine</w>": 7721,
-  "vinegar</w>": 23834,
-  "vines</w>": 21268,
-  "vineyard</w>": 16527,
-  "vineyards</w>": 23082,
-  "ving": 5375,
-  "ving</w>": 903,
-  "vingne</w>": 42579,
-  "vings</w>": 22510,
-  "vini</w>": 48119,
-  "vinnie</w>": 40885,
-  "vinny</w>": 36794,
-  "vino</w>": 14509,
-  "vinod</w>": 43348,
-  "vins</w>": 34820,
-  "vinson</w>": 45945,
-  "vintag": 10936,
-  "vintage": 13654,
-  "vintage</w>": 3266,
-  "viny": 40990,
-  "vinyl": 22835,
-  "vinyl</w>": 5754,
-  "vio": 11913,
-  "vio</w>": 20324,
-  "viol": 3164,
-  "viola</w>": 27438,
-  "violate</w>": 44875,
-  "violated</w>": 38192,
-  "violating</w>": 37554,
-  "violation</w>": 22919,
-  "violations</w>": 21969,
-  "violence</w>": 5450,
-  "violent</w>": 11565,
-  "violently</w>": 47758,
-  "violet</w>": 16118,
-  "violets</w>": 42861,
-  "violin</w>": 17058,
-  "violinist</w>": 36299,
-  "vion</w>": 35496,
-  "vious</w>": 6418,
-  "viously</w>": 7149,
-  "vip": 45714,
-  "vip</w>": 7111,
-  "viper</w>": 27401,
-  "vips</w>": 41149,
-  "vir": 1790,
-  "vir</w>": 25319,
-  "vira</w>": 35910,
-  "viral</w>": 11653,
-  "virat</w>": 32473,
-  "virgil</w>": 39076,
-  "virgin": 5651,
-  "virgin</w>": 12103,
-  "virgini": 43426,
-  "virginia</w>": 6728,
-  "virgo</w>": 39978,
-  "viro": 32301,
-  "viron": 38309,
-  "virtu": 7977,
-  "virtual": 18059,
-  "virtual</w>": 7790,
-  "virtually</w>": 22475,
-  "virtualreality</w>": 32608,
-  "virtue</w>": 26860,
-  "virtues</w>": 42167,
-  "virtuoso</w>": 47027,
-  "virus</w>": 11808,
-  "viruses</w>": 34830,
-  "vis": 1301,
-  "vis</w>": 5337,
-  "visa</w>": 12802,
-  "visas</w>": 41228,
-  "vise</w>": 24977,
-  "vised</w>": 14810,
-  "vish": 12024,
-  "vish</w>": 29124,
-  "vishal</w>": 33648,
-  "vishnu</w>": 37816,
-  "visi": 1409,
-  "visibility</w>": 15921,
-  "visible": 36658,
-  "visible</w>": 8626,
-  "vising</w>": 37439,
-  "vision": 11147,
-  "vision</w>": 2515,
-  "visional</w>": 24627,
-  "visionary</w>": 22959,
-  "visions</w>": 13804,
-  "visit": 3388,
-  "visit</w>": 1600,
-  "visitation</w>": 44370,
-  "visited</w>": 5580,
-  "visiting</w>": 4680,
-  "visitor</w>": 13881,
-  "visitors</w>": 9160,
-  "visits</w>": 8489,
-  "visitscotland</w>": 28760,
-  "visitspain</w>": 48860,
-  "vism</w>": 15514,
-  "viso</w>": 46732,
-  "visor</w>": 24217,
-  "vist</w>": 21436,
-  "vista</w>": 13865,
-  "visu": 7739,
-  "visual": 17004,
-  "visual</w>": 7195,
-  "visualization</w>": 28500,
-  "visualize</w>": 45057,
-  "visually</w>": 25743,
-  "visuals</w>": 21315,
-  "viswas": 36513,
-  "viswasam</w>": 47664,
-  "vit": 4056,
-  "vit</w>": 35580,
-  "vita</w>": 15700,
-  "vital": 32525,
-  "vital</w>": 10585,
-  "vitality</w>": 36385,
-  "vitam": 9856,
-  "vitamin</w>": 13675,
-  "vitamins</w>": 22582,
-  "vito</w>": 36725,
-  "vity</w>": 4893,
-  "vitz</w>": 26188,
-  "vius</w>": 41571,
-  "viv": 21827,
-  "viv</w>": 35363,
-  "viva</w>": 17399,
-  "vival": 35920,
-  "vive": 18980,
-  "vive</w>": 24004,
-  "vivek</w>": 36243,
-  "vivi": 11625,
-  "vivian</w>": 30129,
-  "vivid</w>": 22984,
-  "vivo": 28091,
-  "vivo</w>": 25888,
-  "vix": 28976,
-  "vix</w>": 34811,
-  "vixen</w>": 38757,
-  "vixx</w>": 32106,
-  "viz": 28251,
-  "viz</w>": 31786,
-  "vj": 45439,
-  "vj</w>": 30827,
-  "vk</w>": 41893,
-  "vl": 37580,
-  "vl</w>": 36442,
-  "vla": 23686,
-  "vlad</w>": 41089,
-  "vladi": 19320,
-  "vladimir</w>": 21702,
-  "vlive</w>": 46797,
-  "vlog</w>": 18894,
-  "vm": 16204,
-  "vm</w>": 20269,
-  "vma</w>": 35666,
-  "vmas</w>": 30236,
-  "vmware</w>": 29615,
-  "vn": 47098,
-  "vn</w>": 25076,
-  "vo": 947,
-  "vo</w>": 3951,
-  "voc": 4105,
-  "voc</w>": 20855,
-  "vocab": 21346,
-  "vocabulary</w>": 23804,
-  "vocal": 34037,
-  "vocal</w>": 13147,
-  "vocali": 19134,
-  "vocalist</w>": 22102,
-  "vocals</w>": 17666,
-  "vocation</w>": 20521,
-  "vocational</w>": 33751,
-  "vod": 11820,
-  "vod</w>": 35854,
-  "vodaf": 28436,
-  "vodafone</w>": 38695,
-  "vodka</w>": 13646,
-  "vogel</w>": 44960,
-  "vogue": 24418,
-  "vogue</w>": 13178,
-  "voic": 29185,
-  "voice": 13179,
-  "voice</w>": 3386,
-  "voiced</w>": 34352,
-  "voiceof": 44966,
-  "voiceover</w>": 41979,
-  "voices</w>": 9144,
-  "void</w>": 21561,
-  "voip</w>": 42762,
-  "voir</w>": 16036,
-  "vol": 1343,
-  "vol</w>": 7945,
-  "volatile</w>": 41022,
-  "volatility</w>": 32355,
-  "volcan": 9916,
-  "volcanic</w>": 24072,
-  "volcano</w>": 14581,
-  "volcanoes</w>": 38055,
-  "voli</w>": 40138,
-  "volk": 13432,
-  "volkswag": 14407,
-  "volkswagen</w>": 15342,
-  "volley": 7130,
-  "volley</w>": 34656,
-  "volleyball</w>": 7458,
-  "volo</w>": 44791,
-  "vols</w>": 20404,
-  "volt</w>": 26430,
-  "volta": 29879,
-  "volta</w>": 33480,
-  "voltage</w>": 23118,
-  "voltron</w>": 39314,
-  "volu": 3563,
-  "volume</w>": 8284,
-  "volumes</w>": 22651,
-  "volun": 3356,
-  "voluntar": 48823,
-  "voluntary</w>": 23815,
-  "volunte": 3556,
-  "volunteer": 32331,
-  "volunteer</w>": 7114,
-  "volunteered</w>": 34000,
-  "volunteering</w>": 14902,
-  "volunteers</w>": 5939,
-  "volution</w>": 24043,
-  "volved</w>": 42888,
-  "volvo": 39991,
-  "volvo</w>": 16906,
-  "vom": 24198,
-  "vomit</w>": 46485,
-  "von": 11269,
-  "von</w>": 8497,
-  "voo": 19497,
-  "voodoo</w>": 26869,
-  "voor": 34291,
-  "voor</w>": 34464,
-  "vor": 8338,
-  "vor</w>": 5308,
-  "vore</w>": 18215,
-  "vortex</w>": 30071,
-  "vos</w>": 16863,
-  "vot</w>": 48558,
-  "vote": 6830,
-  "vote</w>": 2187,
-  "voted</w>": 6454,
-  "votel": 41379,
-  "voter": 44474,
-  "voter</w>": 14065,
-  "voters</w>": 8925,
-  "votes</w>": 6693,
-  "voting</w>": 5756,
-  "vou": 11045,
-  "voucher</w>": 18190,
-  "vouchers</w>": 23384,
-  "vous</w>": 10636,
-  "vow</w>": 34787,
-  "vows</w>": 21677,
-  "vox": 29215,
-  "vox</w>": 22692,
-  "voy": 10622,
-  "voy</w>": 15021,
-  "voyage</w>": 16299,
-  "voyager</w>": 29669,
-  "vp": 32758,
-  "vp</w>": 3896,
-  "vpn</w>": 38212,
-  "vr": 16840,
-  "vr</w>": 5921,
-  "vre": 44500,
-  "vre</w>": 17501,
-  "vs": 11385,
-  "vs</w>": 1547,
-  "vsco": 26752,
-  "vsco</w>": 32822,
-  "vscocam</w>": 34694,
-  "vsky</w>": 37791,
-  "vss</w>": 31919,
-  "vt": 31732,
-  "vt</w>": 10291,
-  "vu": 8664,
-  "vu</w>": 13230,
-  "vue": 43915,
-  "vue</w>": 19313,
-  "vuel": 31312,
-  "vuelta</w>": 43856,
-  "vuitton</w>": 26705,
-  "vul": 6856,
-  "vulcan</w>": 34767,
-  "vulner": 11213,
-  "vulnerability</w>": 28797,
-  "vulnerable</w>": 14332,
-  "vulture</w>": 34593,
-  "vultures</w>": 47197,
-  "vv": 19264,
-  "vv</w>": 35686,
-  "vw": 28650,
-  "vw</w>": 13250,
-  "vx</w>": 47644,
-  "vy": 11566,
-  "vy</w>": 5157,
-  "w": 86,
-  "w</w>": 342,
-  "wa": 869,
-  "wa</w>": 2663,
-  "waa</w>": 35874,
-  "wab": 19893,
-  "wab</w>": 36852,
-  "wac": 27445,
-  "wac</w>": 37947,
-  "wack": 22880,
-  "wack</w>": 38270,
-  "wacky</w>": 34318,
-  "waco</w>": 36035,
-  "wad": 11133,
-  "wad</w>": 30451,
-  "wada</w>": 40006,
-  "wade": 40237,
-  "wade</w>": 14180,
-  "wadi</w>": 37253,
-  "waf": 17638,
-  "wafc</w>": 49086,
-  "waff": 13940,
-  "waffle</w>": 20375,
-  "waffles</w>": 24205,
-  "wag": 5764,
-  "wag</w>": 19177,
-  "wage</w>": 10716,
-  "wager</w>": 43430,
-  "wages</w>": 19114,
-  "wagner</w>": 18081,
-  "wagon</w>": 13260,
-  "wagons</w>": 47944,
-  "wags</w>": 48580,
-  "wah": 24812,
-  "wah</w>": 18014,
-  "wahl": 27500,
-  "wahlberg</w>": 35151,
-  "wahoo</w>": 47995,
-  "wai": 11469,
-  "wai</w>": 21569,
-  "waifu</w>": 46551,
-  "waikiki</w>": 44907,
-  "wain": 28358,
-  "wain</w>": 20120,
-  "wainwright</w>": 45878,
-  "waist": 36946,
-  "waist</w>": 18459,
-  "wait": 10021,
-  "wait</w>": 1885,
-  "waite</w>": 24272,
-  "waited</w>": 18492,
-  "waiter</w>": 32946,
-  "waitin</w>": 44482,
-  "waiting</w>": 2680,
-  "waitress</w>": 39760,
-  "waitrose</w>": 37164,
-  "waits</w>": 21361,
-  "waiver</w>": 42866,
-  "waj</w>": 49367,
-  "wak": 11172,
-  "wak</w>": 36015,
-  "waka</w>": 42696,
-  "wake": 10501,
-  "wake</w>": 5731,
-  "wakefield</w>": 26358,
-  "wakes</w>": 29108,
-  "wakeup": 26328,
-  "wakeup</w>": 35380,
-  "wakeupamerica</w>": 37474,
-  "waking</w>": 13025,
-  "wal": 1056,
-  "wal</w>": 6903,
-  "wala</w>": 16468,
-  "walang</w>": 49180,
-  "walcott</w>": 45744,
-  "wald": 46930,
-  "wald</w>": 15724,
-  "walden</w>": 39311,
-  "waldo</w>": 32440,
-  "waldorf</w>": 38227,
-  "wale": 41247,
-  "wale</w>": 20336,
-  "wales": 25383,
-  "wales</w>": 5110,
-  "walgreens</w>": 38490,
-  "wali": 37576,
-  "wali</w>": 14768,
-  "walia</w>": 44455,
-  "walk": 8588,
-  "walk</w>": 2374,
-  "walkaway</w>": 48255,
-  "walked</w>": 8667,
-  "walker": 24735,
-  "walker</w>": 6150,
-  "walkers</w>": 23366,
-  "walkin</w>": 45792,
-  "walking": 12644,
-  "walking</w>": 3941,
-  "walkingdead</w>": 14948,
-  "walkout</w>": 47470,
-  "walks</w>": 8192,
-  "walkway</w>": 36614,
-  "wall": 4316,
-  "wall</w>": 2569,
-  "walla": 26007,
-  "walla</w>": 39982,
-  "wallabies</w>": 48926,
-  "wallace</w>": 12535,
-  "wallart</w>": 36223,
-  "walled</w>": 36567,
-  "waller</w>": 45340,
-  "wallet</w>": 12154,
-  "wallets</w>": 38550,
-  "walleye</w>": 49099,
-  "wallis</w>": 42206,
-  "wallpaper</w>": 10560,
-  "wallpapers</w>": 29841,
-  "walls</w>": 8258,
-  "wallstreet</w>": 45341,
-  "wally</w>": 26024,
-  "walmart</w>": 11972,
-  "walnut</w>": 16310,
-  "walnuts</w>": 38294,
-  "walsall</w>": 42935,
-  "walsh</w>": 12856,
-  "walt": 23535,
-  "walt</w>": 14312,
-  "waltdisneyworld</w>": 36505,
-  "walter": 31156,
-  "walter</w>": 10645,
-  "walters</w>": 25532,
-  "waltham": 42742,
-  "waltham</w>": 45581,
-  "walton</w>": 19485,
-  "waltz</w>": 35982,
-  "wam": 20503,
-  "wamy</w>": 46970,
-  "wan": 2060,
-  "wan</w>": 4557,
-  "wana</w>": 30830,
-  "wand": 14636,
-  "wand</w>": 28559,
-  "wanda</w>": 25070,
-  "wander": 12985,
-  "wander</w>": 24473,
-  "wandered</w>": 46593,
-  "wanderers</w>": 27540,
-  "wandering</w>": 22597,
-  "wanderlust</w>": 16129,
-  "wane</w>": 27459,
-  "wang": 19731,
-  "wang</w>": 11900,
-  "wani</w>": 21674,
-  "wankers</w>": 42189,
-  "wann": 23622,
-  "wanna": 35940,
-  "wanna</w>": 3836,
-  "wannabe</w>": 40730,
-  "wannaone</w>": 44832,
-  "want": 18356,
-  "want</w>": 1280,
-  "wanted</w>": 3146,
-  "wanting</w>": 12801,
-  "wants</w>": 3107,
-  "wap": 27393,
-  "wap</w>": 30368,
-  "waq": 47512,
-  "war": 984,
-  "war</w>": 2238,
-  "wara</w>": 21631,
-  "warbler</w>": 33891,
-  "warcraft</w>": 13660,
-  "ward": 7728,
-  "ward</w>": 1460,
-  "warden</w>": 27798,
-  "wardly</w>": 30780,
-  "wardro": 14247,
-  "wardrobe</w>": 15020,
-  "wards</w>": 2593,
-  "ware": 7416,
-  "ware</w>": 4476,
-  "wareagle</w>": 35716,
-  "warehouse</w>": 13054,
-  "wareness": 41601,
-  "wareness</w>": 35870,
-  "wares</w>": 30692,
-  "warfare</w>": 15739,
-  "warhammer</w>": 26832,
-  "warhol</w>": 27554,
-  "wari</w>": 20977,
-  "wark": 46346,
-  "wark</w>": 15164,
-  "warlock</w>": 42455,
-  "warm": 14725,
-  "warm</w>": 3616,
-  "warmed</w>": 36695,
-  "warmer</w>": 14328,
-  "warmest</w>": 30910,
-  "warming</w>": 8606,
-  "warmly</w>": 45322,
-  "warmongers</w>": 33205,
-  "warms</w>": 32917,
-  "warmth</w>": 19636,
-  "warmup</w>": 29904,
-  "warmups</w>": 44094,
-  "warn</w>": 19360,
-  "warned</w>": 16409,
-  "warner": 28564,
-  "warner</w>": 13402,
-  "warning</w>": 4994,
-  "warnings</w>": 18098,
-  "warns</w>": 14086,
-  "waron": 38947,
-  "warp</w>": 32411,
-  "warped</w>": 32125,
-  "warran": 17392,
-  "warrant</w>": 22554,
-  "warrants</w>": 45677,
-  "warranty</w>": 23999,
-  "warren": 23143,
-  "warren</w>": 9234,
-  "warri": 4109,
-  "warrington</w>": 31203,
-  "warrior": 18998,
-  "warrior</w>": 8148,
-  "warriors</w>": 6421,
-  "wars</w>": 3931,
-  "warsaw</w>": 21072,
-  "warship</w>": 47846,
-  "wart": 43535,
-  "wart</w>": 7346,
-  "wartime</w>": 42998,
-  "warts</w>": 21781,
-  "warwick": 23081,
-  "warwick</w>": 22215,
-  "warwickshire</w>": 36766,
-  "wary</w>": 36213,
-  "was": 3398,
-  "was</w>": 739,
-  "wasabi</w>": 47334,
-  "wash": 3363,
-  "wash</w>": 7810,
-  "washed</w>": 14092,
-  "washer</w>": 24085,
-  "washes</w>": 38950,
-  "washing</w>": 13029,
-  "washington": 16774,
-  "washington</w>": 4365,
-  "washingtondc</w>": 40225,
-  "washingtonpost</w>": 28426,
-  "wasn</w>": 5044,
-  "wasnt</w>": 29607,
-  "wasp</w>": 24889,
-  "wasps</w>": 35300,
-  "wassup</w>": 45708,
-  "wast": 28886,
-  "waste": 18157,
-  "waste</w>": 6065,
-  "wasted</w>": 18278,
-  "wasteland</w>": 44035,
-  "wastewater</w>": 34463,
-  "wasting</w>": 25577,
-  "wat": 800,
-  "wat</w>": 10621,
-  "wata</w>": 42509,
-  "watch": 7046,
-  "watch</w>": 1239,
-  "watchdog</w>": 35303,
-  "watched</w>": 5775,
-  "watcher</w>": 35971,
-  "watchers</w>": 28443,
-  "watches</w>": 9521,
-  "watchin</w>": 32432,
-  "watching</w>": 2113,
-  "water": 2505,
-  "water</w>": 1573,
-  "watercolor</w>": 14211,
-  "watercolour</w>": 18377,
-  "waterfall</w>": 16403,
-  "waterfalls</w>": 26692,
-  "waterford</w>": 24448,
-  "waterfront</w>": 16605,
-  "waterhouse</w>": 45072,
-  "watering</w>": 19871,
-  "waterloo</w>": 17465,
-  "watermelon</w>": 19889,
-  "waterproof</w>": 17613,
-  "waters</w>": 7753,
-  "watershed</w>": 33204,
-  "waterstones</w>": 45014,
-  "waterways</w>": 37395,
-  "watford</w>": 23162,
-  "watfordfc</w>": 37328,
-  "wati</w>": 27966,
-  "watkins</w>": 22539,
-  "watson": 35490,
-  "watson</w>": 9294,
-  "watt": 22899,
-  "watt</w>": 15805,
-  "wattpad</w>": 32351,
-  "watts</w>": 14750,
-  "wau": 9479,
-  "wav": 6054,
-  "wave": 17530,
-  "wave</w>": 4535,
-  "waved</w>": 44657,
-  "waver": 25997,
-  "waves</w>": 7882,
-  "waving</w>": 26545,
-  "wavy</w>": 31941,
-  "waw": 22039,
-  "wawrinka</w>": 48414,
-  "wawx</w>": 47387,
-  "wax": 18789,
-  "wax</w>": 11910,
-  "waxing</w>": 38781,
-  "way": 3079,
-  "way</w>": 923,
-  "wayback": 47822,
-  "wayne": 23632,
-  "wayne</w>": 7003,
-  "ways</w>": 1248,
-  "waz": 20889,
-  "waz</w>": 48835,
-  "wb": 10726,
-  "wb</w>": 12377,
-  "wba</w>": 22675,
-  "wbb</w>": 14482,
-  "wbc</w>": 26745,
-  "wbo</w>": 49053,
-  "wbz</w>": 35471,
-  "wc": 4842,
-  "wc</w>": 5755,
-  "wcc": 47166,
-  "wcc</w>": 34926,
-  "wcpo</w>": 46624,
-  "wcs</w>": 39916,
-  "wcvb</w>": 32709,
-  "wcw</w>": 9041,
-  "wd": 15998,
-  "wd</w>": 7494,
-  "wdw</w>": 40334,
-  "we": 598,
-  "we</w>": 649,
-  "wea": 37146,
-  "wea</w>": 47301,
-  "weak": 12128,
-  "weak</w>": 10128,
-  "weaker</w>": 39735,
-  "weakness</w>": 21448,
-  "weaknesses</w>": 43487,
-  "weal": 14759,
-  "wealth": 33150,
-  "wealth</w>": 7904,
-  "wealthy</w>": 22617,
-  "weap": 6156,
-  "weapon": 42612,
-  "weapon</w>": 10537,
-  "weapons</w>": 10007,
-  "wear": 12206,
-  "wear</w>": 2839,
-  "wearab": 22983,
-  "wearable": 44943,
-  "wearable</w>": 24973,
-  "wearables</w>": 30319,
-  "weare": 4264,
-  "weare</w>": 27867,
-  "weareall": 45980,
-  "wearec": 43620,
-  "wearen": 45635,
-  "weareone": 16149,
-  "weareoneexo</w>": 16448,
-  "wearethe": 40242,
-  "wearing</w>": 3309,
-  "wears</w>": 11869,
-  "weary</w>": 38766,
-  "weasel</w>": 44308,
-  "weather": 8808,
-  "weather</w>": 2237,
-  "weathercee</w>": 44980,
-  "weatherchannel</w>": 42138,
-  "weav": 22260,
-  "weave</w>": 22450,
-  "weaver</w>": 20297,
-  "weaving</w>": 27131,
-  "web": 2055,
-  "web</w>": 4601,
-  "webb</w>": 15708,
-  "webber</w>": 34248,
-  "webcam": 24211,
-  "webcam</w>": 22589,
-  "webcamtoy</w>": 27719,
-  "webcast</w>": 28256,
-  "webcomic</w>": 34286,
-  "webcomics</w>": 39811,
-  "webdesign</w>": 20470,
-  "webdev</w>": 37000,
-  "webdevelopment</w>": 47553,
-  "weber</w>": 20179,
-  "webin": 8460,
-  "webinar</w>": 8921,
-  "webinars</w>": 47755,
-  "webpage</w>": 46964,
-  "webs</w>": 32829,
-  "webseries</w>": 44819,
-  "website</w>": 3364,
-  "websites</w>": 19278,
-  "webster</w>": 19471,
-  "websummit</w>": 48069,
-  "wec</w>": 33152,
-  "wechat</w>": 46124,
-  "wed": 1687,
-  "wed</w>": 3478,
-  "wedd": 7576,
-  "wedding": 11204,
-  "wedding</w>": 3101,
-  "weddings</w>": 15964,
-  "wedge</w>": 21446,
-  "wedges</w>": 33179,
-  "wedne": 2380,
-  "wednesday": 9311,
-  "wednesday</w>": 2689,
-  "wednesdaymotivation</w>": 37860,
-  "wednesdays</w>": 24943,
-  "wednesdaywisdom</w>": 11445,
-  "wedo</w>": 43432,
-  "weds</w>": 19107,
-  "wee": 716,
-  "wee</w>": 8288,
-  "weed": 36935,
-  "weed</w>": 8015,
-  "weeds</w>": 26326,
-  "week": 1286,
-  "week</w>": 994,
-  "weekday</w>": 29244,
-  "weekdays</w>": 44330,
-  "weekend": 17205,
-  "weekend</w>": 1456,
-  "weekender</w>": 36547,
-  "weekends</w>": 14564,
-  "weekly": 34652,
-  "weekly</w>": 5885,
-  "weeknd</w>": 29925,
-  "weeks</w>": 2898,
-  "weeksary</w>": 24628,
-  "ween": 17517,
-  "ween</w>": 1599,
-  "weep</w>": 39270,
-  "weeping</w>": 36629,
-  "weer</w>": 32491,
-  "weet</w>": 17742,
-  "weets</w>": 13454,
-  "wef</w>": 23313,
-  "weg": 47867,
-  "weg</w>": 47561,
-  "wego": 44784,
-  "wego</w>": 28220,
-  "weh": 48458,
-  "weh</w>": 40313,
-  "weho</w>": 47798,
-  "wei": 6958,
-  "wei</w>": 20952,
-  "weibo</w>": 20613,
-  "weigh": 10565,
-  "weigh</w>": 17346,
-  "weighed</w>": 33210,
-  "weighing</w>": 24455,
-  "weighs</w>": 20481,
-  "weight": 12723,
-  "weight</w>": 3868,
-  "weighted</w>": 43179,
-  "weightlifting</w>": 36164,
-  "weightloss</w>": 20359,
-  "weights</w>": 21374,
-  "weil</w>": 43720,
-  "weiler</w>": 42203,
-  "wein": 29134,
-  "wein</w>": 37684,
-  "weiner</w>": 38822,
-  "weinstein</w>": 34367,
-  "weir": 11299,
-  "weir</w>": 25517,
-  "weird": 27981,
-  "weird</w>": 5613,
-  "weirdest</w>": 29482,
-  "weirdo</w>": 32476,
-  "weis": 26251,
-  "weiser</w>": 34833,
-  "weiss</w>": 24794,
-  "wel": 1267,
-  "wel</w>": 8042,
-  "welch</w>": 25820,
-  "welcom": 11578,
-  "welcome": 18318,
-  "welcome</w>": 1881,
-  "welcomed</w>": 12590,
-  "welcomes</w>": 9304,
-  "welcometo": 47511,
-  "welcoming</w>": 8775,
-  "weld</w>": 39776,
-  "welding</w>": 24956,
-  "welfare</w>": 12129,
-  "well": 3277,
-  "well</w>": 1123,
-  "wellbeing</w>": 14273,
-  "weller</w>": 40921,
-  "welling</w>": 49165,
-  "wellington</w>": 15389,
-  "wellness": 40574,
-  "wellness</w>": 9904,
-  "wells": 42705,
-  "wells</w>": 9804,
-  "welove": 13573,
-  "welp</w>": 28391,
-  "wels</w>": 20852,
-  "welsh": 19173,
-  "welsh</w>": 10977,
-  "welt</w>": 38595,
-  "welter": 37115,
-  "welterweight</w>": 39617,
-  "wemb": 15213,
-  "wembley</w>": 16579,
-  "wen": 6590,
-  "wen</w>": 11278,
-  "wend": 15166,
-  "wendell</w>": 42091,
-  "wendy": 31616,
-  "wendy</w>": 14074,
-  "wenger</w>": 21105,
-  "went": 18633,
-  "went</w>": 2437,
-  "wentworth</w>": 36423,
-  "wentz</w>": 39179,
-  "wer": 6316,
-  "wer</w>": 2980,
-  "were": 15461,
-  "were</w>": 1365,
-  "wered</w>": 6605,
-  "weren</w>": 13611,
-  "werewolf</w>": 32001,
-  "werk</w>": 30176,
-  "werner</w>": 29917,
-  "wers</w>": 7110,
-  "wes": 18620,
-  "wes</w>": 14738,
-  "wesle": 29606,
-  "wesley</w>": 17332,
-  "wesleyan</w>": 32509,
-  "wesome</w>": 33292,
-  "wess</w>": 44431,
-  "west": 2973,
-  "west</w>": 1593,
-  "westbound</w>": 29208,
-  "westbrook</w>": 26948,
-  "westchester</w>": 36675,
-  "westcoast</w>": 44610,
-  "westend</w>": 44815,
-  "wester": 9846,
-  "western": 17079,
-  "western</w>": 4463,
-  "westfield</w>": 32309,
-  "westh": 36798,
-  "westin</w>": 43232,
-  "westlake</w>": 41535,
-  "westminster</w>": 15158,
-  "weston</w>": 22771,
-  "westside</w>": 33762,
-  "westwood</w>": 26371,
-  "westworld</w>": 42287,
-  "wet": 12406,
-  "wet</w>": 6682,
-  "weta</w>": 40946,
-  "wethenorth</w>": 45281,
-  "wethepeople</w>": 48030,
-  "wether": 33794,
-  "wether</w>": 48405,
-  "wetland</w>": 37357,
-  "wetlands</w>": 26547,
-  "wett</w>": 41971,
-  "wetter</w>": 43957,
-  "wewant": 39280,
-  "wewill": 37241,
-  "wex": 17234,
-  "wexford</w>": 29876,
-  "wexmondays</w>": 49042,
-  "wey": 30376,
-  "wey</w>": 19781,
-  "weymouth</w>": 41433,
-  "wf": 14576,
-  "wf</w>": 22313,
-  "wfa": 44606,
-  "wfc</w>": 36431,
-  "wfp</w>": 35193,
-  "wftv</w>": 47075,
-  "wg": 21091,
-  "wg</w>": 25857,
-  "wga</w>": 32354,
-  "wgn": 48828,
-  "wh": 573,
-  "wh</w>": 13844,
-  "wha": 18994,
-  "wha</w>": 25884,
-  "whal": 38967,
-  "whale": 37083,
-  "whale</w>": 11650,
-  "whales</w>": 17722,
-  "wham": 42506,
-  "whar": 15517,
-  "wharf</w>": 22452,
-  "wharton</w>": 43320,
-  "what": 4268,
-  "what</w>": 768,
-  "whatcha</w>": 37160,
-  "whate": 6695,
-  "whatever</w>": 6743,
-  "whati": 23500,
-  "whats": 9263,
-  "whats</w>": 13084,
-  "whatsapp</w>": 10119,
-  "whatsoever</w>": 39928,
-  "whatson": 35632,
-  "whatyou": 30508,
-  "whe": 2009,
-  "whead</w>": 34583,
-  "wheat": 20505,
-  "wheat</w>": 10303,
-  "wheaton</w>": 46933,
-  "wheel": 7360,
-  "wheel</w>": 6744,
-  "wheelchair</w>": 17713,
-  "wheeler</w>": 18405,
-  "wheeling</w>": 34839,
-  "wheels</w>": 8025,
-  "whel": 9792,
-  "whelan</w>": 40715,
-  "when": 8753,
-  "when</w>": 827,
-  "whenever</w>": 10500,
-  "where": 7052,
-  "where</w>": 1234,
-  "whereabouts</w>": 47808,
-  "whereas</w>": 42234,
-  "wheres": 46345,
-  "wherever</w>": 14103,
-  "whereyou": 46837,
-  "whether</w>": 5903,
-  "whew</w>": 39016,
-  "whey</w>": 34556,
-  "whi": 4295,
-  "whi</w>": 33129,
-  "which</w>": 1448,
-  "whiche": 48719,
-  "whichever</w>": 49138,
-  "whil": 8499,
-  "while</w>": 1519,
-  "whilst</w>": 8596,
-  "whim": 27766,
-  "whimsical</w>": 42282,
-  "whip</w>": 14412,
-  "whipped</w>": 22323,
-  "whipping</w>": 41567,
-  "whir": 20873,
-  "whirl": 30962,
-  "whirlwind</w>": 47771,
-  "whis": 6024,
-  "whiskey": 41381,
-  "whiskey</w>": 11610,
-  "whisky": 37567,
-  "whisky</w>": 12599,
-  "whisp": 21986,
-  "whispe": 30356,
-  "whisper</w>": 27616,
-  "whisperer</w>": 41368,
-  "whispering</w>": 42599,
-  "whispers</w>": 29133,
-  "whist": 13640,
-  "whistle": 23972,
-  "whistle</w>": 19746,
-  "whistleblower</w>": 40410,
-  "whistler</w>": 29633,
-  "whit": 4398,
-  "whit</w>": 31498,
-  "whitaker</w>": 35851,
-  "whitby</w>": 30858,
-  "white": 4699,
-  "white</w>": 1579,
-  "whiteboard</w>": 40839,
-  "whitec": 24575,
-  "whitehall</w>": 42827,
-  "whitehead</w>": 43560,
-  "whitehouse</w>": 20776,
-  "whitening</w>": 35540,
-  "whitepaper</w>": 42713,
-  "whites": 35886,
-  "whites</w>": 18835,
-  "whitesox</w>": 28816,
-  "whitewater</w>": 49350,
-  "whitfield</w>": 48404,
-  "whitley</w>": 40564,
-  "whitman</w>": 32394,
-  "whitney": 43021,
-  "whitney</w>": 18048,
-  "whitt": 33784,
-  "whittaker</w>": 47595,
-  "whl</w>": 25801,
-  "who": 2969,
-  "who</w>": 822,
-  "whoa</w>": 16943,
-  "whoever</w>": 11137,
-  "whois": 41884,
-  "whole": 10360,
-  "whole</w>": 2954,
-  "wholefoods</w>": 42840,
-  "wholesale</w>": 18306,
-  "wholesome</w>": 35959,
-  "whom": 38158,
-  "whom</w>": 12873,
-  "whoo": 20003,
-  "whoo</w>": 49290,
-  "whoop</w>": 22060,
-  "whoops</w>": 28433,
-  "whopping</w>": 34384,
-  "whore</w>": 31690,
-  "whos": 41460,
-  "whos</w>": 27130,
-  "whose</w>": 6933,
-  "whouse</w>": 45927,
-  "whs</w>": 26292,
-  "wht</w>": 32470,
-  "whufc</w>": 31695,
-  "whun": 18272,
-  "why": 11040,
-  "why</w>": 1182,
-  "whyte</w>": 42386,
-  "wi": 820,
-  "wi</w>": 5585,
-  "wib</w>": 45303,
-  "wic": 7834,
-  "wich": 9759,
-  "wich</w>": 5238,
-  "wichita</w>": 22566,
-  "wick": 6798,
-  "wick</w>": 6479,
-  "wicked": 32579,
-  "wicked</w>": 12825,
-  "wicker</w>": 38096,
-  "wicket</w>": 19180,
-  "wickets</w>": 22110,
-  "wicklow</w>": 39039,
-  "wicz</w>": 30121,
-  "wid": 11886,
-  "wid</w>": 20886,
-  "wide": 19341,
-  "wide</w>": 3184,
-  "widely</w>": 16195,
-  "widening</w>": 46598,
-  "wider</w>": 21263,
-  "widesp": 20598,
-  "widespread</w>": 21258,
-  "widget</w>": 43906,
-  "wido": 28068,
-  "widow</w>": 19949,
-  "widows</w>": 42129,
-  "width</w>": 23571,
-  "wie": 21378,
-  "wie</w>": 9131,
-  "wielding</w>": 47272,
-  "wien</w>": 38131,
-  "wiener</w>": 40567,
-  "wies": 42788,
-  "wif</w>": 37572,
-  "wife</w>": 3607,
-  "wifey</w>": 35282,
-  "wifi</w>": 11026,
-  "wig": 23690,
-  "wig</w>": 12216,
-  "wigan</w>": 23130,
-  "wiggins</w>": 32329,
-  "wiggle</w>": 47812,
-  "wight": 41278,
-  "wight</w>": 15545,
-  "wigs</w>": 31207,
-  "wii</w>": 8005,
-  "wiiu</w>": 40980,
-  "wiki": 10373,
-  "wiki</w>": 24265,
-  "wikileaks</w>": 28731,
-  "wikipedia</w>": 15176,
-  "wil": 1352,
-  "wil</w>": 20581,
-  "wilbur</w>": 43069,
-  "wilcox</w>": 43231,
-  "wild": 2780,
-  "wild</w>": 3220,
-  "wildatlantic": 35500,
-  "wildatlanticway</w>": 35776,
-  "wildcard</w>": 37360,
-  "wildcat": 49077,
-  "wildcat</w>": 25870,
-  "wildcats</w>": 15909,
-  "wilde</w>": 23498,
-  "wilder": 14343,
-  "wilder</w>": 23499,
-  "wilderness</w>": 16506,
-  "wildest</w>": 43028,
-  "wildfire</w>": 22788,
-  "wildfires</w>": 29184,
-  "wildflower": 27628,
-  "wildflower</w>": 33181,
-  "wildflowerhour</w>": 31302,
-  "wildflowers</w>": 29136,
-  "wildlife": 13298,
-  "wildlife</w>": 5250,
-  "wildlifephotography</w>": 32307,
-  "wildlifewednesday</w>": 48537,
-  "wildly</w>": 35981,
-  "wildoz</w>": 40113,
-  "wiley</w>": 32747,
-  "wilhelm</w>": 39696,
-  "wilkes</w>": 39548,
-  "wilkins</w>": 36986,
-  "wilkinson</w>": 26797,
-  "will": 5062,
-  "will</w>": 751,
-  "willam": 43276,
-  "willard</w>": 44920,
-  "wille": 48739,
-  "willem</w>": 38044,
-  "willi": 2256,
-  "william": 8420,
-  "william</w>": 4705,
-  "williams": 38452,
-  "williams</w>": 4075,
-  "williamsburg</w>": 30683,
-  "williamson</w>": 20793,
-  "willie</w>": 13907,
-  "willing": 34160,
-  "willing</w>": 11718,
-  "willingness</w>": 40573,
-  "willis</w>": 18491,
-  "willow": 33887,
-  "willow</w>": 15665,
-  "wills</w>": 26913,
-  "willy": 34502,
-  "willy</w>": 19599,
-  "wilmington</w>": 28052,
-  "wilms": 47879,
-  "wilshere</w>": 48359,
-  "wilson": 23629,
-  "wilson</w>": 5622,
-  "wilt": 23394,
-  "wilt</w>": 47357,
-  "wilton</w>": 46638,
-  "wiltshire</w>": 28025,
-  "wim": 8662,
-  "wim</w>": 27580,
-  "wimble": 11752,
-  "wimbledon</w>": 12229,
-  "win": 831,
-  "win</w>": 1225,
-  "winchester</w>": 20647,
-  "wind": 6812,
-  "wind</w>": 3630,
-  "winder": 44454,
-  "winder</w>": 46245,
-  "winding</w>": 22390,
-  "windmill</w>": 34084,
-  "windo": 3110,
-  "window": 26675,
-  "window</w>": 4879,
-  "windows</w>": 5437,
-  "winds": 12668,
-  "winds</w>": 7012,
-  "windshield</w>": 33002,
-  "windsor": 44322,
-  "windsor</w>": 12884,
-  "windy</w>": 13446,
-  "wine": 7375,
-  "wine</w>": 2604,
-  "winelover</w>": 26357,
-  "winemaker</w>": 41588,
-  "wineoclock</w>": 43846,
-  "wineries</w>": 49349,
-  "winery</w>": 15500,
-  "wines</w>": 8263,
-  "winetasting</w>": 41288,
-  "winewednesday</w>": 35447,
-  "wing": 8141,
-  "wing</w>": 1340,
-  "winged</w>": 24993,
-  "winger</w>": 22727,
-  "winget</w>": 44578,
-  "wings</w>": 5178,
-  "wink": 34455,
-  "wink</w>": 25859,
-  "winkle</w>": 36430,
-  "winn</w>": 38104,
-  "winne": 46273,
-  "winner": 32961,
-  "winner</w>": 2520,
-  "winners</w>": 4320,
-  "winni": 13018,
-  "winnie</w>": 29022,
-  "winning": 42099,
-  "winning</w>": 2577,
-  "winnings</w>": 46490,
-  "winnipeg</w>": 14369,
-  "winona</w>": 49202,
-  "wins": 46839,
-  "wins</w>": 2718,
-  "winslow</w>": 39658,
-  "winston</w>": 14848,
-  "winter": 7340,
-  "winter</w>": 2541,
-  "winters</w>": 21587,
-  "wintry</w>": 39504,
-  "wip</w>": 10447,
-  "wipe</w>": 26761,
-  "wiped</w>": 31822,
-  "wipes</w>": 33463,
-  "wir": 16849,
-  "wir</w>": 44838,
-  "wire": 7558,
-  "wire</w>": 7794,
-  "wired</w>": 18935,
-  "wireless</w>": 9103,
-  "wires</w>": 24311,
-  "wiring</w>": 36434,
-  "wirral</w>": 34675,
-  "wis": 3392,
-  "wis</w>": 20405,
-  "wiscon": 9857,
-  "wisconsin</w>": 10265,
-  "wisdom": 42474,
-  "wisdom</w>": 5425,
-  "wise": 19116,
-  "wise</w>": 5558,
-  "wisely</w>": 26173,
-  "wiser</w>": 44859,
-  "wish": 11328,
-  "wish</w>": 2412,
-  "wished</w>": 25883,
-  "wishes</w>": 6045,
-  "wishing</w>": 5307,
-  "wishlist</w>": 31969,
-  "wit": 584,
-  "wit</w>": 8531,
-  "witch": 20139,
-  "witch</w>": 10083,
-  "witchcraft</w>": 35065,
-  "witcher</w>": 33684,
-  "witches</w>": 21673,
-  "with": 1435,
-  "with</w>": 593,
-  "withdra": 24696,
-  "withdraw</w>": 31670,
-  "withdrawal</w>": 25765,
-  "withdrawn</w>": 46687,
-  "withdraws</w>": 48637,
-  "wither": 39655,
-  "witherspoon</w>": 45409,
-  "within</w>": 4154,
-  "withme</w>": 44670,
-  "without": 32836,
-  "without</w>": 2193,
-  "withstand</w>": 42236,
-  "withthe": 36872,
-  "withus</w>": 30572,
-  "withyou</w>": 30351,
-  "witne": 12096,
-  "witness</w>": 8793,
-  "witnessed</w>": 20187,
-  "witnesses</w>": 22778,
-  "witnessing</w>": 33618,
-  "wits</w>": 30938,
-  "witt": 38194,
-  "witt</w>": 17168,
-  "witter</w>": 31597,
-  "witty</w>": 29970,
-  "witz": 44186,
-  "witz</w>": 13265,
-  "wiv</w>": 48925,
-  "wives</w>": 14378,
-  "wiwx</w>": 44461,
-  "wiz": 7730,
-  "wiz</w>": 23178,
-  "wizar": 49121,
-  "wizard": 30490,
-  "wizard</w>": 14295,
-  "wizards</w>": 19140,
-  "wizkid</w>": 40146,
-  "wj": 19739,
-  "wj</w>": 35453,
-  "wk": 11512,
-  "wk</w>": 11528,
-  "wkend</w>": 42336,
-  "wknd</w>": 20851,
-  "wks</w>": 25508,
-  "wku</w>": 43377,
-  "wl": 13299,
-  "wl</w>": 9613,
-  "wm": 20268,
-  "wm</w>": 15790,
-  "wn": 1186,
-  "wn</w>": 757,
-  "wnba</w>": 32358,
-  "wned</w>": 8628,
-  "wns</w>": 12950,
-  "wnt</w>": 22484,
-  "wny</w>": 24833,
-  "wo": 1613,
-  "wo</w>": 11132,
-  "woah</w>": 17751,
-  "wob": 35984,
-  "woc</w>": 39011,
-  "wod</w>": 41522,
-  "woes</w>": 27860,
-  "wof": 45671,
-  "woj": 48931,
-  "wok</w>": 28912,
-  "woke</w>": 9331,
-  "woken</w>": 43697,
-  "woking</w>": 43931,
-  "wol": 2798,
-  "wol</w>": 48622,
-  "wold</w>": 42399,
-  "wolf": 9453,
-  "wolf</w>": 5916,
-  "wolfe</w>": 24989,
-  "wolff</w>": 34369,
-  "wolfgang</w>": 34061,
-  "wolfpack</w>": 30887,
-  "wolve": 45101,
-  "wolver": 14334,
-  "wolverhampton</w>": 34518,
-  "wolverine</w>": 23353,
-  "wolverines</w>": 42003,
-  "wolves</w>": 9372,
-  "wom": 1087,
-  "womack</w>": 48980,
-  "woman": 15716,
-  "woman</w>": 2308,
-  "womanc": 35630,
-  "womancrush": 37721,
-  "womancrushwednesday</w>": 39714,
-  "womanin": 30562,
-  "womaninbiz</w>": 36482,
-  "womb</w>": 37023,
-  "women": 3648,
-  "women</w>": 1507,
-  "womenin": 13062,
-  "womeninscience</w>": 41343,
-  "womeninstem</w>": 29380,
-  "womenintech</w>": 31470,
-  "womenof": 48421,
-  "womens": 12822,
-  "womens</w>": 14408,
-  "womensart</w>": 38548,
-  "womensday</w>": 13956,
-  "womenshi": 22887,
-  "womenshistorymonth</w>": 24982,
-  "womensmarch</w>": 30102,
-  "won": 1528,
-  "won</w>": 1749,
-  "wonder": 2070,
-  "wonder</w>": 3936,
-  "wondercon</w>": 46944,
-  "wondered</w>": 15550,
-  "wonderful</w>": 2582,
-  "wonderfully</w>": 23245,
-  "wondering</w>": 8360,
-  "wonderland</w>": 13874,
-  "wonders</w>": 14048,
-  "wonderwoman</w>": 31000,
-  "wondo</w>": 38402,
-  "wondr": 46771,
-  "wong</w>": 17876,
-  "wonka</w>": 43463,
-  "wont": 43174,
-  "wont</w>": 15952,
-  "woo": 1867,
-  "woo</w>": 9322,
-  "wood": 3269,
-  "wood</w>": 1704,
-  "woodbridge</w>": 49074,
-  "wooden": 48226,
-  "wooden</w>": 9057,
-  "woodland": 44314,
-  "woodland</w>": 17447,
-  "woodlands</w>": 32430,
-  "woodley</w>": 40566,
-  "woodpecker</w>": 32684,
-  "woods</w>": 6267,
-  "woodson</w>": 48967,
-  "woodstock</w>": 29486,
-  "woodward</w>": 27419,
-  "woodwork</w>": 47386,
-  "woodworking</w>": 29267,
-  "woody": 38627,
-  "woody</w>": 17144,
-  "woof": 34234,
-  "woof</w>": 24028,
-  "woohoo</w>": 20172,
-  "wook</w>": 29192,
-  "wool": 9967,
-  "wool</w>": 13283,
-  "woolf</w>": 43728,
-  "woolly</w>": 47722,
-  "woon</w>": 33126,
-  "wooo</w>": 43217,
-  "woop</w>": 31884,
-  "woot</w>": 22466,
-  "wor": 641,
-  "worcester": 22172,
-  "worcester</w>": 19580,
-  "worcestershire</w>": 38440,
-  "worcestershirehour</w>": 43644,
-  "word": 8272,
-  "word</w>": 2653,
-  "wordof": 33500,
-  "wordoftheday</w>": 43594,
-  "wordpress</w>": 15193,
-  "words": 31007,
-  "words</w>": 2709,
-  "wore</w>": 8953,
-  "work": 1636,
-  "work</w>": 951,
-  "workday</w>": 29735,
-  "worked</w>": 5410,
-  "worker</w>": 8098,
-  "workers</w>": 4795,
-  "workflow</w>": 28502,
-  "workforce</w>": 14672,
-  "workin": 31825,
-  "workin</w>": 26323,
-  "working": 20806,
-  "working</w>": 1699,
-  "workinprogress</w>": 46086,
-  "workout</w>": 6773,
-  "workouts</w>": 22779,
-  "workplace</w>": 11959,
-  "workplaces</w>": 47383,
-  "works</w>": 2322,
-  "workshop</w>": 3832,
-  "workshops</w>": 12262,
-  "workspace</w>": 34470,
-  "worl": 5221,
-  "world": 2334,
-  "world</w>": 1002,
-  "worlda": 46627,
-  "worldbank</w>": 36759,
-  "worldbookday</w>": 31191,
-  "worldcup": 42525,
-  "worldcup</w>": 8650,
-  "worlden": 44668,
-  "worldenviron": 47115,
-  "worldenvironmentday</w>": 47522,
-  "worldly</w>": 36268,
-  "worldo": 41698,
-  "worldof": 22636,
-  "worldre": 33951,
-  "worlds</w>": 7691,
-  "worldseries</w>": 26695,
-  "worldtour</w>": 23202,
-  "worldwater": 41176,
-  "worldwaterday</w>": 44520,
-  "worldwide</w>": 6214,
-  "worm": 33709,
-  "worm</w>": 10945,
-  "worms</w>": 20231,
-  "worn</w>": 9037,
-  "worried</w>": 11911,
-  "worries</w>": 17684,
-  "worry</w>": 7534,
-  "worrying</w>": 24058,
-  "worse</w>": 8236,
-  "worsen": 46344,
-  "worshi": 31840,
-  "worship": 46399,
-  "worship</w>": 9023,
-  "worst</w>": 5719,
-  "wort</w>": 30209,
-  "worth": 10671,
-  "worth</w>": 2450,
-  "worthing</w>": 39929,
-  "worthit</w>": 40830,
-  "worthless</w>": 44736,
-  "worths</w>": 44633,
-  "worthwhile</w>": 36295,
-  "worthy</w>": 8881,
-  "worx</w>": 44973,
-  "wot</w>": 24863,
-  "wou": 5279,
-  "would": 39873,
-  "would</w>": 1311,
-  "wouldn</w>": 5878,
-  "wouldnt</w>": 41595,
-  "wound</w>": 19231,
-  "wounded</w>": 14859,
-  "wounds</w>": 21290,
-  "woven</w>": 19830,
-  "wow": 22191,
-  "wow</w>": 2781,
-  "woz": 44558,
-  "wozni": 47782,
-  "wp": 15378,
-  "wp</w>": 13302,
-  "wpg</w>": 35048,
-  "wps</w>": 33386,
-  "wq": 45195,
-  "wr": 1189,
-  "wr</w>": 8028,
-  "wra": 3852,
-  "wra</w>": 46004,
-  "wral</w>": 49050,
-  "wrangler</w>": 30923,
-  "wrap</w>": 7094,
-  "wrapped</w>": 9875,
-  "wrapping</w>": 15223,
-  "wraps</w>": 18236,
-  "wrath</w>": 29783,
-  "wray</w>": 48943,
-  "wrc</w>": 16004,
-  "wre": 3168,
-  "wreath</w>": 23091,
-  "wrec": 20879,
-  "wreck": 28775,
-  "wreck</w>": 15017,
-  "wrecked</w>": 32695,
-  "wreckem</w>": 45676,
-  "wrecking</w>": 36956,
-  "wrecks</w>": 45545,
-  "wren": 20191,
-  "wren</w>": 31970,
-  "wrench</w>": 30980,
-  "wrest": 4177,
-  "wrestle": 17097,
-  "wrestle</w>": 28086,
-  "wrestlemania</w>": 18849,
-  "wrestler</w>": 19790,
-  "wrestlers</w>": 25902,
-  "wrestling": 31292,
-  "wrestling</w>": 5904,
-  "wrexham</w>": 34479,
-  "wri": 7667,
-  "wri</w>": 42007,
-  "wright": 28616,
-  "wright</w>": 6991,
-  "wrights</w>": 43711,
-  "wrigley</w>": 33538,
-  "wrink": 22201,
-  "wrinkle</w>": 46642,
-  "wrinkles</w>": 35525,
-  "wrist": 19243,
-  "wrist</w>": 16139,
-  "wristband</w>": 36890,
-  "wristbands</w>": 44864,
-  "writ": 2902,
-  "write": 28874,
-  "write</w>": 4946,
-  "writer": 27886,
-  "writer</w>": 4422,
-  "writers": 18742,
-  "writers</w>": 7307,
-  "writerslife</w>": 25007,
-  "writes</w>": 8023,
-  "writing": 16053,
-  "writing</w>": 2979,
-  "writingcommunity</w>": 39178,
-  "writings</w>": 36259,
-  "written</w>": 5231,
-  "wro": 5447,
-  "wrong": 18381,
-  "wrong</w>": 3669,
-  "wrongly</w>": 45642,
-  "wrote</w>": 5796,
-  "wrought</w>": 48125,
-  "wrs</w>": 45280,
-  "ws": 6300,
-  "ws</w>": 799,
-  "wsb": 30681,
-  "wsbtv</w>": 38394,
-  "wsj</w>": 19764,
-  "wski</w>": 12548,
-  "wsl</w>": 43706,
-  "wsoc</w>": 40253,
-  "wson</w>": 33954,
-  "wsop</w>": 41231,
-  "wsu": 44674,
-  "wsu</w>": 32913,
-  "wsw</w>": 43285,
-  "wt": 15873,
-  "wt</w>": 12255,
-  "wta</w>": 25984,
-  "wtc</w>": 39718,
-  "wtf</w>": 6891,
-  "wth</w>": 23021,
-  "wthr": 45269,
-  "wti</w>": 47345,
-  "wto</w>": 36406,
-  "wts</w>": 32159,
-  "wu": 9710,
-  "wu</w>": 9837,
-  "wud</w>": 43870,
-  "wul": 35154,
-  "wunder": 36661,
-  "wur": 24040,
-  "wurst</w>": 44409,
-  "wusa</w>": 40021,
-  "wut</w>": 28590,
-  "wv": 18920,
-  "wv</w>": 14743,
-  "wvu": 44878,
-  "wvu</w>": 25879,
-  "ww": 3181,
-  "ww</w>": 4491,
-  "wwc</w>": 26505,
-  "wwdc</w>": 47441,
-  "wwe": 12112,
-  "wwe</w>": 5290,
-  "wwen": 23308,
-  "wwenetwork</w>": 37228,
-  "wwenxt</w>": 39898,
-  "wwer": 32038,
-  "wwf</w>": 23332,
-  "wwfc</w>": 42681,
-  "wwg</w>": 35322,
-  "wwi</w>": 20194,
-  "wwii</w>": 10261,
-  "www": 26074,
-  "www</w>": 9667,
-  "wwwbigbaldhead</w>": 30761,
-  "wwww": 34224,
-  "wwww</w>": 25200,
-  "wwwww</w>": 48268,
-  "wwx</w>": 47431,
-  "wx": 18192,
-  "wx</w>": 3561,
-  "wy": 4665,
-  "wy</w>": 7625,
-  "wyatt</w>": 21660,
-  "wyd</w>": 33113,
-  "wye": 48436,
-  "wye</w>": 43751,
-  "wylie</w>": 49330,
-  "wyn": 11802,
-  "wyn</w>": 17504,
-  "wynn</w>": 36117,
-  "wynne</w>": 35951,
-  "wynonna": 41456,
-  "wynonnaearp</w>": 43755,
-  "wyoming</w>": 18693,
-  "x": 87,
-  "x</w>": 343,
-  "xa</w>": 24831,
-  "xan": 45530,
-  "xander</w>": 45601,
-  "xavi": 36342,
-  "xavier": 41044,
-  "xavier</w>": 18567,
-  "xb</w>": 33678,
-  "xbox": 18063,
-  "xbox</w>": 7748,
-  "xboxone</w>": 27410,
-  "xc</w>": 12515,
-  "xchange</w>": 49132,
-  "xd</w>": 6380,
-  "xe": 42886,
-  "xe</w>": 19183,
-  "xen": 15568,
-  "xer": 49005,
-  "xf</w>": 35274,
-  "xfactor</w>": 25211,
-  "xfinity</w>": 35107,
-  "xford</w>": 34732,
-  "xh</w>": 45771,
-  "xham</w>": 25284,
-  "xi": 2467,
-  "xi</w>": 7376,
-  "xia": 19854,
-  "xia</w>": 20724,
-  "xian</w>": 42570,
-  "xiao</w>": 49318,
-  "xiaomi</w>": 27477,
-  "xico</w>": 38469,
-  "xide</w>": 17398,
-  "xie": 40122,
-  "xie</w>": 15976,
-  "xii</w>": 36525,
-  "xiii</w>": 28199,
-  "xim": 11217,
-  "xin": 27053,
-  "xin</w>": 41517,
-  "xing</w>": 14383,
-  "xion</w>": 24164,
-  "xis</w>": 35793,
-  "xit</w>": 5316,
-  "xiumin</w>": 36563,
-  "xiv</w>": 16125,
-  "xj</w>": 42453,
-  "xl": 36529,
-  "xl</w>": 8833,
-  "xley</w>": 38223,
-  "xm</w>": 18626,
-  "xma": 48805,
-  "xmas": 48848,
-  "xmas</w>": 6425,
-  "xmen</w>": 28708,
-  "xn</w>": 25388,
-  "xo": 26936,
-  "xo</w>": 9000,
-  "xon": 29186,
-  "xon</w>": 8482,
-  "xox": 11531,
-  "xox</w>": 34050,
-  "xoxo</w>": 13313,
-  "xp</w>": 15651,
-  "xper": 32200,
-  "xperia</w>": 37615,
-  "xpo</w>": 44377,
-  "xpress</w>": 31809,
-  "xq</w>": 40606,
-  "xr</w>": 26276,
-  "xrp</w>": 26965,
-  "xs</w>": 16397,
-  "xt</w>": 1052,
-  "xtina</w>": 45520,
-  "xton": 32666,
-  "xton</w>": 10597,
-  "xtra</w>": 26969,
-  "xtre": 27025,
-  "xtreme</w>": 33483,
-  "xu": 42063,
-  "xu</w>": 37198,
-  "xv</w>": 17768,
-  "xvi</w>": 44031,
-  "xx": 5675,
-  "xx</w>": 3553,
-  "xxl</w>": 29777,
-  "xxx": 33923,
-  "xxx</w>": 8352,
-  "xxxx": 32035,
-  "xxxx</w>": 22819,
-  "xxxxx</w>": 44195,
-  "xy": 20023,
-  "xy</w>": 11443,
-  "y": 88,
-  "y</w>": 344,
-  "ya": 5018,
-  "ya</w>": 1430,
-  "yaa": 48847,
-  "yaa</w>": 34498,
-  "yaan</w>": 34680,
-  "yab": 27737,
-  "yach": 9039,
-  "yacht": 43806,
-  "yacht</w>": 12859,
-  "yachts</w>": 29260,
-  "yad": 13276,
-  "yad</w>": 40047,
-  "yadav</w>": 26650,
-  "yaf": 38019,
-  "yag": 35081,
-  "yah": 16170,
-  "yah</w>": 12381,
-  "yaho": 37929,
-  "yahoo": 38152,
-  "yahoo</w>": 16846,
-  "yak": 11014,
-  "yak</w>": 29074,
-  "yaki</w>": 44677,
-  "yaku": 29572,
-  "yakuza</w>": 42628,
-  "yal": 16198,
-  "yal</w>": 13418,
-  "yale": 39926,
-  "yale</w>": 17157,
-  "yall</w>": 9210,
-  "yam": 6666,
-  "yam</w>": 19318,
-  "yama</w>": 23512,
-  "yamaha</w>": 18854,
-  "yan": 3949,
-  "yan</w>": 4788,
-  "yana</w>": 18698,
-  "yand": 38609,
-  "yang": 23818,
-  "yang</w>": 12605,
-  "yani</w>": 26439,
-  "yankee</w>": 21554,
-  "yankees</w>": 11889,
-  "yann": 40246,
-  "yann</w>": 38657,
-  "yao</w>": 45231,
-  "yap": 48700,
-  "yap</w>": 34468,
-  "yar": 6786,
-  "yar</w>": 23071,
-  "yard": 20234,
-  "yard</w>": 4313,
-  "yards</w>": 7550,
-  "yarmouth</w>": 45941,
-  "yarn</w>": 19702,
-  "yarra</w>": 46824,
-  "yas": 8168,
-  "yas</w>": 20570,
-  "yash": 30216,
-  "yash</w>": 37836,
-  "yasi": 37700,
-  "yasss</w>": 23873,
-  "yat": 29443,
-  "yat</w>": 34965,
-  "yates</w>": 27677,
-  "yatra</w>": 38932,
-  "yav": 41275,
-  "yaw": 31989,
-  "yawn</w>": 48643,
-  "yay": 20614,
-  "yay</w>": 6712,
-  "yaya</w>": 37608,
-  "yaz": 19348,
-  "yaz</w>": 42252,
-  "yb": 41785,
-  "yb</w>": 27615,
-  "yc</w>": 11931,
-  "ycle</w>": 38089,
-  "yd": 29896,
-  "yd</w>": 9534,
-  "yday</w>": 15899,
-  "yds</w>": 24819,
-  "ye": 693,
-  "ye</w>": 4582,
-  "yea</w>": 13687,
-  "yeah": 29405,
-  "yeah</w>": 3908,
-  "year": 5163,
-  "year</w>": 935,
-  "yearbook</w>": 21636,
-  "yearling</w>": 48392,
-  "yearly</w>": 24541,
-  "yearof": 31944,
-  "yearofthe": 47899,
-  "years": 30864,
-  "years</w>": 1151,
-  "yearsof": 14932,
-  "yearswith": 45249,
-  "yeast</w>": 25819,
-  "yeats</w>": 44903,
-  "yed": 28137,
-  "yed</w>": 3301,
-  "yee": 18114,
-  "yee</w>": 23108,
-  "yeezy</w>": 24901,
-  "yeg": 16854,
-  "yeg</w>": 11976,
-  "yegfood</w>": 48711,
-  "yeh</w>": 21331,
-  "yel": 3323,
-  "yel</w>": 48164,
-  "yell</w>": 30824,
-  "yelled</w>": 39199,
-  "yelling</w>": 26581,
-  "yellow": 12059,
-  "yellow</w>": 4481,
-  "yellowstone</w>": 29241,
-  "yelp</w>": 31674,
-  "yemen": 29276,
-  "yemen</w>": 12513,
-  "yemeni</w>": 44656,
-  "yemi</w>": 42267,
-  "yen": 29602,
-  "yen</w>": 17960,
-  "yeo": 32292,
-  "yeo</w>": 43830,
-  "yeol</w>": 15808,
-  "yeon</w>": 16602,
-  "yep</w>": 10964,
-  "yer": 15491,
-  "yer</w>": 2371,
-  "yers</w>": 3722,
-  "yes": 21620,
-  "yes</w>": 1958,
-  "yess": 42778,
-  "yess</w>": 40189,
-  "yesss</w>": 36210,
-  "yessss</w>": 45620,
-  "yester": 1905,
-  "yesterday</w>": 1926,
-  "yesterdays</w>": 36238,
-  "yesung</w>": 38527,
-  "yet</w>": 2296,
-  "yeti</w>": 34228,
-  "yev</w>": 39855,
-  "yew</w>": 34660,
-  "yey</w>": 45447,
-  "yg</w>": 16396,
-  "ygk</w>": 44758,
-  "ygo": 46166,
-  "yh</w>": 41978,
-  "yi": 5826,
-  "yi</w>": 14762,
-  "yield</w>": 16825,
-  "yields</w>": 24856,
-  "yikes</w>": 25094,
-  "yin": 26476,
-  "yin</w>": 23543,
-  "ying": 42933,
-  "ying</w>": 910,
-  "yixing</w>": 32120,
-  "yk</w>": 30965,
-  "yl": 2656,
-  "yl</w>": 4045,
-  "ylan</w>": 41875,
-  "ylde</w>": 42850,
-  "yle": 32305,
-  "yle</w>": 10770,
-  "ylene</w>": 34239,
-  "yler</w>": 48081,
-  "yles</w>": 42860,
-  "ylon</w>": 22375,
-  "ylor</w>": 48468,
-  "ym": 1786,
-  "ym</w>": 19587,
-  "yman</w>": 29077,
-  "ymc": 47101,
-  "ymca</w>": 22369,
-  "yment</w>": 8199,
-  "ymes</w>": 39968,
-  "ymi</w>": 5271,
-  "ymm</w>": 37133,
-  "ymoun": 41426,
-  "ymouth</w>": 36429,
-  "yn": 2823,
-  "yn</w>": 4100,
-  "yne</w>": 18238,
-  "ynes</w>": 18020,
-  "ynn</w>": 10499,
-  "ynna</w>": 48292,
-  "ynwa</w>": 27372,
-  "yo": 586,
-  "yo</w>": 3497,
-  "yoda</w>": 31922,
-  "yof": 5966,
-  "yofficial</w>": 21818,
-  "yofthe": 43983,
-  "yog": 34985,
-  "yog</w>": 36539,
-  "yoga": 25872,
-  "yoga</w>": 5523,
-  "yogh": 32626,
-  "yoghurt</w>": 33491,
-  "yogi</w>": 22766,
-  "yogur": 16137,
-  "yogurt</w>": 16819,
-  "yoh</w>": 48880,
-  "yoke</w>": 41969,
-  "yoko": 25929,
-  "yoko</w>": 32256,
-  "yokohama</w>": 42409,
-  "yol": 19387,
-  "yol</w>": 35218,
-  "yolanda</w>": 43845,
-  "yolo</w>": 20905,
-  "yom": 34718,
-  "yom</w>": 44527,
-  "yon": 10147,
-  "yon</w>": 7604,
-  "yong": 27960,
-  "yong</w>": 20887,
-  "yonge</w>": 48592,
-  "yoo": 25842,
-  "yoo</w>": 20775,
-  "yoon": 30863,
-  "yoon</w>": 22113,
-  "yoona</w>": 32736,
-  "yoongi</w>": 24037,
-  "yor": 2028,
-  "yor</w>": 21132,
-  "york": 5318,
-  "york</w>": 2705,
-  "yorker</w>": 23865,
-  "yorkers</w>": 41041,
-  "yorks</w>": 39093,
-  "yorkshi": 43367,
-  "yorkshire": 27007,
-  "yorkshire</w>": 8633,
-  "yoruba</w>": 46083,
-  "yos</w>": 35607,
-  "yosemite</w>": 25893,
-  "yoshi": 22920,
-  "yoshi</w>": 25354,
-  "yot": 22875,
-  "yotes</w>": 46157,
-  "yotpo</w>": 26113,
-  "you": 1562,
-  "you</w>": 592,
-  "youare": 33879,
-  "youcan": 32498,
-  "youknow": 47919,
-  "youknow</w>": 41088,
-  "youn": 1596,
-  "young": 6939,
-  "young</w>": 1888,
-  "younger</w>": 10414,
-  "youngest</w>": 12316,
-  "youngjae</w>": 46426,
-  "youngster</w>": 35881,
-  "youngsters</w>": 28098,
-  "younow</w>": 33831,
-  "your": 2130,
-  "your</w>": 695,
-  "youre": 28344,
-  "youre</w>": 19695,
-  "yourown": 28583,
-  "yours</w>": 3834,
-  "yourself</w>": 3053,
-  "yourselves</w>": 19747,
-  "youth": 10743,
-  "youth</w>": 3281,
-  "youthful</w>": 37480,
-  "youths</w>": 23614,
-  "youts</w>": 22737,
-  "youtu": 13868,
-  "youtube": 31258,
-  "youtube</w>": 3895,
-  "youtuber</w>": 24720,
-  "youtubers</w>": 36822,
-  "youu</w>": 35055,
-  "youuu</w>": 35324,
-  "youuuu</w>": 47123,
-  "yoy</w>": 41865,
-  "yp": 38370,
-  "yp</w>": 34734,
-  "ypg</w>": 37386,
-  "yql</w>": 46122,
-  "yqr</w>": 36881,
-  "yr": 18395,
-  "yr</w>": 4333,
-  "yrs</w>": 4822,
-  "ys": 1971,
-  "ys</w>": 961,
-  "yser</w>": 33121,
-  "ysis</w>": 4843,
-  "ysl</w>": 45681,
-  "ysm</w>": 23842,
-  "yst": 40528,
-  "yt": 36777,
-  "yt</w>": 14779,
-  "ytd</w>": 47524,
-  "yte</w>": 48172,
-  "yu": 3371,
-  "yu</w>": 8887,
-  "yuan</w>": 26236,
-  "yuck</w>": 48282,
-  "yugo": 48231,
-  "yuh</w>": 42547,
-  "yui</w>": 47932,
-  "yuk": 17037,
-  "yuk</w>": 24063,
-  "yuki</w>": 34010,
-  "yukon</w>": 27094,
-  "yul": 39832,
-  "yum": 6869,
-  "yum</w>": 7259,
-  "yuma</w>": 47566,
-  "yummy</w>": 7687,
-  "yun": 14976,
-  "yun</w>": 18288,
-  "yung": 44545,
-  "yung</w>": 17676,
-  "yunho</w>": 39748,
-  "yup</w>": 13231,
-  "yur": 42533,
-  "yuri</w>": 23823,
-  "yusuf</w>": 33222,
-  "yuv": 36784,
-  "yves</w>": 33698,
-  "yvon": 23327,
-  "yvonne</w>": 32583,
-  "yvr</w>": 29058,
-  "yw": 33741,
-  "yx</w>": 35624,
-  "yxe</w>": 34240,
-  "yy": 3433,
-  "yy</w>": 8321,
-  "yya</w>": 37444,
-  "yyc": 27542,
-  "yyc</w>": 11741,
-  "yyj</w>": 26203,
-  "yyy</w>": 11514,
-  "yyyy": 38749,
-  "yyyy</w>": 16955,
-  "yyyyy</w>": 26089,
-  "yyyyyy</w>": 47055,
-  "yz": 37579,
-  "yz</w>": 46451,
-  "yü": 48232,
-  "z": 89,
-  "z</w>": 345,
-  "za": 3710,
-  "za</w>": 2186,
-  "zab": 22982,
-  "zable</w>": 37002,
-  "zac": 25501,
-  "zac</w>": 19159,
-  "zach": 13401,
-  "zach</w>": 11815,
-  "zachary</w>": 32401,
-  "zack": 30567,
-  "zack</w>": 19120,
-  "zad": 47314,
-  "zad</w>": 27838,
-  "zada</w>": 34889,
-  "zaf": 21837,
-  "zafar</w>": 46668,
-  "zag": 26091,
-  "zag</w>": 29346,
-  "zagre": 34107,
-  "zagreb</w>": 35355,
-  "zah": 23258,
-  "zah</w>": 43297,
-  "zaha</w>": 44408,
-  "zai": 44329,
-  "zai</w>": 27065,
-  "zain": 34400,
-  "zain</w>": 45366,
-  "zak": 13050,
-  "zak</w>": 20738,
-  "zaki</w>": 48091,
-  "zal": 20552,
-  "zal</w>": 33298,
-  "zam": 7218,
-  "zam</w>": 41578,
-  "zambia</w>": 21671,
-  "zan": 7284,
-  "zan</w>": 17835,
-  "zana</w>": 39643,
-  "zand": 37712,
-  "zane</w>": 34786,
-  "zani</w>": 45373,
-  "zania</w>": 15059,
-  "zano</w>": 27637,
-  "zanzi": 47835,
-  "zap": 24134,
-  "zapp": 33504,
-  "zappa</w>": 46592,
-  "zar": 5458,
-  "zar</w>": 16392,
-  "zara</w>": 24454,
-  "zardari</w>": 20174,
-  "zas</w>": 48261,
-  "zation</w>": 3683,
-  "zawa</w>": 49281,
-  "zay": 7102,
-  "zayed</w>": 36726,
-  "zayn": 22292,
-  "zayn</w>": 10308,
-  "zaynmalik</w>": 25278,
-  "zazzle</w>": 47857,
-  "ze": 2254,
-  "ze</w>": 1298,
-  "zeal": 44951,
-  "zealand</w>": 7618,
-  "zeb</w>": 46518,
-  "zebra": 47394,
-  "zebra</w>": 22548,
-  "zed": 21047,
-  "zed</w>": 1993,
-  "zedd</w>": 45608,
-  "zee": 25468,
-  "zee</w>": 14080,
-  "zeiss</w>": 47460,
-  "zeit": 37898,
-  "zeit</w>": 37906,
-  "zek</w>": 40829,
-  "zeke</w>": 47065,
-  "zel": 10389,
-  "zel</w>": 12027,
-  "zelda</w>": 17138,
-  "zell</w>": 39526,
-  "zen": 8518,
-  "zen</w>": 3928,
-  "zend": 33478,
-  "zendaya</w>": 35956,
-  "zenith</w>": 44740,
-  "zens</w>": 15298,
-  "zeph": 40726,
-  "zepp": 22977,
-  "zeppelin</w>": 25408,
-  "zer": 6118,
-  "zer</w>": 3716,
-  "zero": 14867,
-  "zero</w>": 5848,
-  "zers</w>": 9547,
-  "zes</w>": 4073,
-  "zest</w>": 37709,
-  "zet": 34098,
-  "zeta</w>": 30954,
-  "zetta</w>": 45993,
-  "zeus</w>": 32800,
-  "zey": 46647,
-  "zh": 33389,
-  "zh</w>": 41621,
-  "zhang</w>": 21127,
-  "zhen": 37374,
-  "zhen</w>": 33236,
-  "zhou</w>": 17384,
-  "zhu": 42049,
-  "zi": 2651,
-  "zi</w>": 5819,
-  "zia</w>": 13764,
-  "zid": 30235,
-  "zidane</w>": 34643,
-  "zie": 29316,
-  "zie</w>": 8956,
-  "zieg": 40157,
-  "ziegler</w>": 46812,
-  "ziel</w>": 32151,
-  "zier</w>": 15399,
-  "zies</w>": 38001,
-  "ziest</w>": 28159,
-  "zig": 15950,
-  "zig</w>": 21345,
-  "ziggy</w>": 39274,
-  "zik</w>": 30125,
-  "zika</w>": 28783,
-  "zil": 25039,
-  "zil</w>": 33190,
-  "zilla</w>": 17879,
-  "zim": 8112,
-  "zim</w>": 22577,
-  "zimbab": 12373,
-  "zimbabwe": 45668,
-  "zimbabwe</w>": 13583,
-  "zimmer": 27452,
-  "zimmer</w>": 35211,
-  "zimmerman</w>": 38231,
-  "zin": 14085,
-  "zin</w>": 21278,
-  "zinc</w>": 27458,
-  "zind": 26206,
-  "zindabad</w>": 42208,
-  "zine</w>": 16100,
-  "zing": 25062,
-  "zing</w>": 3152,
-  "zinger</w>": 42027,
-  "zio</w>": 13906,
-  "zion": 31763,
-  "zion</w>": 20963,
-  "zione</w>": 36161,
-  "zionist</w>": 33078,
-  "zip": 26479,
-  "zip</w>": 16083,
-  "zipper</w>": 33670,
-  "zir": 31892,
-  "zl</w>": 39168,
-  "zlat": 32489,
-  "zlatan</w>": 37877,
-  "zm</w>": 43691,
-  "zman</w>": 24248,
-  "zn</w>": 18004,
-  "zo": 4397,
-  "zo</w>": 5056,
-  "zodi": 22660,
-  "zodiac</w>": 27753,
-  "zoe": 43114,
-  "zoe</w>": 16662,
-  "zoey</w>": 39871,
-  "zog</w>": 40680,
-  "zol": 25939,
-  "zola</w>": 46105,
-  "zom": 6623,
-  "zombi": 29452,
-  "zombie</w>": 11819,
-  "zombies": 46702,
-  "zombies</w>": 16517,
-  "zon": 15109,
-  "zon</w>": 14618,
-  "zona</w>": 42134,
-  "zone": 37197,
-  "zone</w>": 4442,
-  "zones</w>": 17247,
-  "zoning</w>": 36790,
-  "zoo": 8182,
-  "zoo</w>": 7147,
-  "zoom": 32671,
-  "zoom</w>": 13909,
-  "zor": 17605,
-  "zou": 38072,
-  "zr</w>": 39275,
-  "zs</w>": 35248,
-  "zshq</w>": 41442,
-  "zt</w>": 42629,
-  "zu": 4091,
-  "zu</w>": 14184,
-  "zucchini</w>": 29873,
-  "zucker": 26890,
-  "zuckerberg</w>": 30066,
-  "zul": 31146,
-  "zulu</w>": 32821,
-  "zum</w>": 35094,
-  "zuma</w>": 23326,
-  "zumba</w>": 32976,
-  "zun": 42440,
-  "zur": 17128,
-  "zurich</w>": 21288,
-  "zw</w>": 42188,
-  "zx</w>": 31604,
-  "zy": 6615,
-  "zy</w>": 2303,
-  "zyk</w>": 39112,
-  "zyme</w>": 36472,
-  "zyn": 45287,
-  "zz": 1544,
-  "zz</w>": 4943,
-  "zza</w>": 14642,
-  "zzi</w>": 13974,
-  "zzie</w>": 18635,
-  "zzle</w>": 7873,
-  "zzled</w>": 39075,
-  "zzo</w>": 14036,
-  "zzy": 21275,
-  "zzy</w>": 8353,
-  "zzz</w>": 20055,
-  "zzzz": 35742,
-  "zzzz</w>": 43103,
-  "{": 90,
-  "{</w>": 346,
-  "{}</w>": 39025,
-  "|": 91,
-  "|#</w>": 31183,
-  "|</w>": 347,
-  "|@</w>": 41677,
-  "||</w>": 7566,
-  "}": 92,
-  "}</w>": 348,
-  "~": 93,
-  "~!</w>": 31181,
-  "~\"</w>": 48442,
-  "~</w>": 349,
-  "~></w>": 43291,
-  "~@</w>": 44247,
-  "~~": 11461,
-  "~~</w>": 16671,
-  "~~~</w>": 32472,
-  "~~~~": 28295,
-  "¡": 94,
-  "¡</w>": 350,
-  "¡ï¸ı": 15113,
-  "¡ï¸ı</w>": 4174,
-  "¡ľ": 43991,
-  "¢": 95,
-  "¢</w>": 351,
-  "£": 96,
-  "£</w>": 352,
-  "£ï¸ı</w>": 18446,
-  "¤": 97,
-  "¤</w>": 353,
-  "¥": 98,
-  "¥</w>": 354,
-  "¦": 99,
-  "¦</w>": 355,
-  "¦Ī</w>": 47615,
-  "§": 100,
-  "§</w>": 356,
-  "¨": 101,
-  "¨</w>": 357,
-  "©": 102,
-  "©</w>": 358,
-  "ª": 103,
-  "ª</w>": 359,
-  "«": 104,
-  "«</w>": 360,
-  "¬": 105,
-  "¬</w>": 361,
-  "‘": 31736,
-  "®": 106,
-  "®</w>": 362,
-  "¯": 107,
-  "¯</w>": 363,
-  "°": 108,
-  "°:</w>": 21787,
-  "°</w>": 364,
-  "°ï¸ı</w>": 34777,
-  "±": 109,
-  "±</w>": 365,
-  "±ï¸ı</w>": 41020,
-  "²": 110,
-  "²</w>": 366,
-  "³": 111,
-  "³</w>": 367,
-  "³ï¸ı": 22195,
-  "³ï¸ı</w>": 24706,
-  "´": 112,
-  "´</w>": 368,
-  "µ": 113,
-  "µ</w>": 369,
-  "µï¸ı</w>": 27605,
-  "¶": 114,
-  "¶</w>": 370,
-  "·": 115,
-  "·</w>": 371,
-  "¸": 116,
-  "¸</w>": 372,
-  "¸ë": 19693,
-  "¹": 117,
-  "¹</w>": 373,
-  "º": 118,
-  "º</w>": 374,
-  "»": 119,
-  "»</w>": 375,
-  "¼": 120,
-  "¼</w>": 376,
-  "½": 121,
-  "½</w>": 377,
-  "½ï¸ı</w>": 31333,
-  "¾": 122,
-  "¾</w>": 378,
-  "¿": 123,
-  "¿</w>": 379,
-  "À": 124,
-  "À</w>": 380,
-  "Á": 125,
-  "Á</w>": 381,
-  "Â": 126,
-  "Â</w>": 382,
-  "¡": 26868,
-  "¡</w>": 10830,
-  "¡¡</w>": 45505,
-  "¢</w>": 41359,
-  "£": 31117,
-  "£</w>": 1950,
-  "Â¥</w>": 20199,
-  "¨": 19957,
-  "¨¨": 23089,
-  "¨¨¨¨": 41223,
-  "©": 31148,
-  "©</w>": 5811,
-  "«</w>": 14434,
-  "®": 30857,
-  "®</w>": 8436,
-  "¯": 38682,
-  "¯</w>": 43593,
-  "¯\\": 44096,
-  "¯\\_(</w>": 45115,
-  "°": 21305,
-  "°</w>": 6858,
-  "²</w>": 41175,
-  "´": 30560,
-  "´</w>": 12559,
-  "·</w>": 14844,
-  "º</w>": 28059,
-  "»": 31642,
-  "»</w>": 7599,
-  "½</w>": 33613,
-  "¿": 44559,
-  "¿</w>": 17133,
-  "ÂŃ</w>": 22618,
-  "Ã": 127,
-  "Ã</w>": 383,
-  "á": 7261,
-  "á</w>": 22229,
-  "án": 38340,
-  "án</w>": 21385,
-  "â": 26170,
-  "ã": 19339,
-  "ão</w>": 21141,
-  "ä": 10896,
-  "ä</w>": 47276,
-  "än": 42787,
-  "Ã¥": 23176,
-  "æ": 42495,
-  "ç": 10067,
-  "ça</w>": 22711,
-  "è": 12138,
-  "è</w>": 37761,
-  "ère</w>": 30272,
-  "ès</w>": 41210,
-  "é": 3459,
-  "é</w>": 4166,
-  "éal</w>": 45251,
-  "ée</w>": 13489,
-  "és</w>": 20507,
-  "ê": 27515,
-  "ë": 29526,
-  "ë</w>": 40520,
-  "î": 48704,
-  "ï": 35689,
-  "ñ": 6445,
-  "ña</w>": 17753,
-  "ño</w>": 16574,
-  "ños</w>": 40104,
-  "ó": 8891,
-  "ó</w>": 27733,
-  "ón</w>": 13926,
-  "ô": 26815,
-  "ö": 7255,
-  "ö</w>": 37423,
-  "ör": 31762,
-  "ø": 17483,
-  "ø</w>": 45598,
-  "ú": 17963,
-  "ú</w>": 36019,
-  "ü": 6522,
-  "ü</w>": 47177,
-  "ür": 26132,
-  "ÃĹ</w>": 16165,
-  "Ãł": 36149,
-  "Ãł</w>": 21259,
-  "ÃŃ": 8366,
-  "ÃŃ</w>": 23928,
-  "ÃŃa</w>": 16609,
-  "ÃŃn</w>": 33623,
-  "Ä": 128,
-  "Ä</w>": 384,
-  "ı": 18562,
-  "ı</w>": 41901,
-  "Äģ": 23134,
-  "Äĩ</w>": 31719,
-  "Äį": 45414,
-  "ÄŁ": 26540,
-  "Å": 129,
-  "Å</w>": 385,
-  "Å¡": 35621,
-  "ÅĤ": 40419,
-  "Åį": 41267,
-  "ÅŁ": 21254,
-  "ÅŁ</w>": 40706,
-  "Æ": 130,
-  "Æ</w>": 386,
-  "Ç": 131,
-  "Ç</w>": 387,
-  "È": 132,
-  "È</w>": 388,
-  "É": 133,
-  "É</w>": 389,
-  "Ê": 134,
-  "Ê</w>": 390,
-  "Ë": 135,
-  "Ë</w>": 391,
-  "Ì": 136,
-  "Ì</w>": 392,
-  "Ìĩ</w>": 16384,
-  "Í": 137,
-  "Í</w>": 393,
-  "Î": 138,
-  "Î</w>": 394,
-  "Ï": 139,
-  "Ï</w>": 395,
-  "Ïī</w>": 38065,
-  "Ð": 140,
-  "Ð</w>": 396,
-  "а": 16912,
-  "а</w>": 27080,
-  "аÐ": 31090,
-  "в": 39813,
-  "е": 22176,
-  "и": 16701,
-  "иÐ": 29503,
-  "к": 27152,
-  "л": 47611,
-  "м": 38018,
-  "н": 22705,
-  "о": 13506,
-  "о</w>": 29386,
-  "оÐ": 20978,
-  "од": 38416,
-  "оÑĤ": 28599,
-  "п": 26302,
-  "пÑĢи": 46321,
-  "пÑĢиÑĢода</w>": 48150,
-  "Ñ": 141,
-  "Ñ</w>": 397,
-  "ÑĢ": 16370,
-  "ÑĢи": 41092,
-  "ÑĢод": 47039,
-  "ÑĢода</w>": 47929,
-  "Ñģ": 23669,
-  "ÑĤ": 17875,
-  "Ñĥ": 39729,
-  "ÑĦ": 27993,
-  "ÑĦоÑĤ": 35155,
-  "ÑĦоÑĤо</w>": 38981,
-  "Ñĭ": 45001,
-  "Ò": 142,
-  "Ò</w>": 398,
-  "Ó": 143,
-  "Ó</w>": 399,
-  "Ô": 144,
-  "Ô</w>": 400,
-  "Õ": 145,
-  "Õ</w>": 401,
-  "Ö": 146,
-  "Ö</w>": 402,
-  "×": 147,
-  "×</w>": 403,
-  "Ø": 148,
-  "Ø</w>": 404,
-  "ا": 6042,
-  "ا</w>": 22625,
-  "اØ": 13189,
-  "ار": 40137,
-  "اÙ": 8453,
-  "اÙĦ": 12973,
-  "اÙħ": 47626,
-  "اÙĨ": 42773,
-  "اÙĨ</w>": 33200,
-  "ب": 16378,
-  "ب</w>": 35330,
-  "Ø©</w>": 20915,
-  "ت": 18197,
-  "ت</w>": 44333,
-  "ج": 26375,
-  "Ø®": 41495,
-  "د": 19872,
-  "د</w>": 35566,
-  "ر": 10948,
-  "ر</w>": 24933,
-  "رÙĬ": 43273,
-  "ز": 36169,
-  "س": 17856,
-  "Ø´": 28770,
-  "ص": 27271,
-  "Ø·": 32050,
-  "ع": 18843,
-  "غ": 48510,
-  "ØŃ": 25722,
-  "Ù": 149,
-  "Ù</w>": 405,
-  "Ùģ": 24112,
-  "ÙĤ": 27585,
-  "Ùĥ": 33499,
-  "ÙĦ": 14251,
-  "ÙĦ</w>": 37899,
-  "Ùħ": 12986,
-  "Ùħ</w>": 29945,
-  "ÙĨ": 16655,
-  "ÙĨ</w>": 25386,
-  "Ùĩ": 34274,
-  "Ùĩ</w>": 31343,
-  "ÙĪ": 12203,
-  "ÙĪ</w>": 38310,
-  "ÙĪر": 48242,
-  "ÙĬ": 12046,
-  "ÙĬ</w>": 23853,
-  "Ú": 150,
-  "Ú</w>": 406,
-  "Ú©": 26475,
-  "Û": 151,
-  "Û</w>": 407,
-  "Ûģ": 40480,
-  "ÛĮ": 21452,
-  "ÛĮ</w>": 32703,
-  "Ü": 152,
-  "Ü</w>": 408,
-  "Ý": 153,
-  "Ý</w>": 409,
-  "Þ": 154,
-  "Þ</w>": 410,
-  "ß": 155,
-  "ß</w>": 411,
-  "à": 156,
-  "à</w>": 412,
-  "à¤": 3124,
-  "त</w>": 27263,
-  "द</w>": 29552,
-  "न</w>": 26090,
-  "प</w>": 44149,
-  "ब</w>": 43599,
-  "म": 48254,
-  "म</w>": 26774,
-  "य</w>": 37299,
-  "र": 39136,
-  "र</w>": 19052,
-  "ल</w>": 30881,
-  "व</w>": 39545,
-  "श</w>": 43181,
-  "स</w>": 28505,
-  "ह</w>": 29446,
-  "ा": 37973,
-  "ा</w>": 13343,
-  "ि</w>": 26721,
-  "à¤Ĥ</w>": 30833,
-  "à¤ķ</w>": 22067,
-  "à¤Ĺ</w>": 42598,
-  "à¤ľ</w>": 39561,
-  "à¥": 7410,
-  "à¥Ģ": 45791,
-  "à¥Ģ</w>": 25751,
-  "à¥ģ</w>": 39653,
-  "à¥ĩ": 48612,
-  "à¥ĩ</w>": 25130,
-  "à¥ĭ</w>": 34452,
-  "à¥į</w>": 19389,
-  "à¦": 11322,
-  "া</w>": 41532,
-  "à§": 26339,
-  "à¨": 15741,
-  "à©": 32086,
-  "àª": 22990,
-  "à«": 48347,
-  "à¬": 32791,
-  "à®": 6022,
-  "த</w>": 34691,
-  "ன</w>": 43394,
-  "ப</w>": 47388,
-  "à®®</w>": 35463,
-  "à®°</w>": 43270,
-  "ல</w>": 47705,
-  "ா</w>": 32831,
-  "ி</w>": 27126,
-  "à®ķ</w>": 36168,
-  "à®Ł</w>": 45263,
-  "à¯": 11259,
-  "à¯ģ</w>": 33115,
-  "à¯į</w>": 16631,
-  "à°": 12100,
-  "à±": 23550,
-  "à±į</w>": 46098,
-  "à²": 9992,
-  "ಿ</w>": 47797,
-  "à³": 20745,
-  "à³į</w>": 36148,
-  "à´": 15418,
-  "àµ": 27392,
-  "àµį</w>": 45266,
-  "à¶": 29881,
-  "à·": 30766,
-  "à¸": 1777,
-  "ม": 26137,
-  "ม</w>": 29570,
-  "ย": 27241,
-  "ย</w>": 33091,
-  "ร": 32225,
-  "ร</w>": 27331,
-  "ล": 34696,
-  "ล</w>": 32746,
-  "ว": 26990,
-  "ว</w>": 30245,
-  "ส": 37883,
-  "ส</w>": 35737,
-  "ห": 33064,
-  "ะ": 43920,
-  "ะ</w>": 49234,
-  "ั</w>": 14978,
-  "า": 11529,
-  "า</w>": 38476,
-  "าà¸": 12330,
-  "ิ</w>": 17092,
-  "ี": 22421,
-  "ี</w>": 20278,
-  "ีà¹Ī</w>": 31511,
-  "ื</w>": 47991,
-  "ุ</w>": 30524,
-  "ู</w>": 35273,
-  "à¸ģ</w>": 30767,
-  "à¸ģà¸": 31474,
-  "à¸Ħ</w>": 31757,
-  "à¸Ħà¸": 39628,
-  "à¸ĩ": 24603,
-  "à¸ĩ</w>": 33382,
-  "à¸Ī": 47608,
-  "à¸Ĭ</w>": 46324,
-  "à¸Ķ": 31107,
-  "à¸Ķ</w>": 38825,
-  "à¸ķ": 40273,
-  "à¸ķ</w>": 41108,
-  "à¸Ĺ</w>": 36171,
-  "à¸Ļ": 17474,
-  "à¸Ļ</w>": 17639,
-  "à¸Ļà¸": 23121,
-  "à¸ļ": 33859,
-  "à¸ļ</w>": 39616,
-  "à¸ŀ</w>": 48171,
-  "à¸Ń": 13398,
-  "à¸Ń</w>": 32818,
-  "à¸Ńà¸": 14649,
-  "à¸Ńà¸ĩ": 46622,
-  "à¹": 4484,
-  "à¹Ģ": 13729,
-  "à¹Ģà¸": 14076,
-  "à¹ģà¸": 23916,
-  "à¹Ĥ": 33118,
-  "à¹ĥ": 40962,
-  "à¹Ħà¸": 31718,
-  "à¹ĩ</w>": 38699,
-  "à¹Ī</w>": 11722,
-  "à¹ī</w>": 13123,
-  "à¹Į</w>": 28353,
-  "à¼": 46186,
-  "à½": 39219,
-  "á": 157,
-  "á</w>": 413,
-  "á´": 19036,
-  "áµ": 17330,
-  "áĢ": 45932,
-  "áĥ": 24829,
-  "áĥ¦</w>": 32193,
-  "â": 158,
-  "â</w>": 414,
-  "â¤": 25087,
-  "⤵ï¸ı</w>": 36026,
-  "â¬": 7930,
-  "â¬ħï¸ı</w>": 42111,
-  "â¬Ĩ": 27718,
-  "â¬Ĩï¸ı</w>": 32798,
-  "â¬ĩ": 10917,
-  "â¬ĩ</w>": 39370,
-  "â¬ĩï¸ı": 25621,
-  "â¬ĩï¸ı</w>": 13984,
-  "â¬ĩï¸ıâ¬ĩï¸ı": 40159,
-  "âĢ": 728,
-  "âĢ¢": 9485,
-  "âĢ¢</w>": 2701,
-  "âĢ¢âĢ¢": 15006,
-  "âĢ¢âĢ¢</w>": 47575,
-  "âĢ¢âĢ¢âĢ¢âĢ¢": 27502,
-  "âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢": 48630,
-  "âĢ¦": 7095,
-  "âĢ¦\"</w>": 20215,
-  "âĢ¦..</w>": 47779,
-  "âĢ¦.</w>": 18615,
-  "âĢ¦/</w>": 29842,
-  "âĢ¦</w>": 959,
-  "âĢ¦âĢ¦</w>": 40066,
-  "âĢ²</w>": 32633,
-  "âĢ³</w>": 25061,
-  "âĢ¼": 6578,
-  "âĢ¼ï¸ı": 15622,
-  "âĢ¼ï¸ı</w>": 8310,
-  "âĢ¼ï¸ıâĢ¼ï¸ı</w>": 33218,
-  "âĢĭ": 17086,
-  "âĢĭ</w>": 9844,
-  "âĢį": 4244,
-  "âĢįâĻ": 5177,
-  "âĢįâĻĢï¸ı": 18897,
-  "âĢįâĻĢï¸ı</w>": 9605,
-  "âĢįâĻĤ": 8832,
-  "âĢįâĻĤï¸ı": 21779,
-  "âĢįâĻĤï¸ı</w>": 10613,
-  "âĢİ</w>": 31001,
-  "âĢIJ</w>": 34512,
-  "âĢĵ": 21070,
-  "âĢĵ</w>": 1224,
-  "âĢĶ": 6718,
-  "âĢĶ</w>": 2005,
-  "âĢĶ></w>": 26341,
-  "âĢĶ@</w>": 28470,
-  "âĢĶâĢĶ": 10037,
-  "âĢĶâĢĶ</w>": 44800,
-  "âĢĶâĢĶâĢĶâĢĶ": 17797,
-  "âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ": 34432,
-  "âĢķ</w>": 14236,
-  "âģ": 1667,
-  "âģ£": 31089,
-  "âģ£</w>": 16845,
-  "âģ¦": 2773,
-  "âģ¦</w>": 34855,
-  "âģ¦@</w>": 2859,
-  "âģ¦âģ¦@</w>": 27783,
-  "âģ©": 20097,
-  "âģ©,</w>": 48749,
-  "âģ©.</w>": 35777,
-  "âģ©</w>": 2918,
-  "âģīï¸ı</w>": 46534,
-  "âģł": 23881,
-  "âģł</w>": 13503,
-  "âģłâģł</w>": 33488,
-  "âĤ": 5227,
-  "âĤ¬": 34919,
-  "âĤ¬</w>": 6309,
-  "âĤ¹</w>": 21777,
-  "âĥ": 2805,
-  "âĥ£": 11250,
-  "âĥ£</w>": 3076,
-  "âĥ£@</w>": 48291,
-  "âĦ": 8604,
-  "âĦ¢": 29438,
-  "âĦ¢</w>": 11675,
-  "âĦ¹</w>": 45462,
-  "âĨ": 6059,
-  "âĨĴ</w>": 7481,
-  "âĨĵ</w>": 41603,
-  "âĩ": 27228,
-  "âĪ": 17788,
-  "âī": 22684,
-  "âīĪ</w>": 45451,
-  "âĮ": 17848,
-  "âĮļ": 31301,
-  "âĮļï¸ı</w>": 35931,
-  "âı": 7960,
-  "âı©</w>": 40847,
-  "âı°</w>": 12714,
-  "âı±</w>": 33149,
-  "âı³</w>": 47617,
-  "âĵ": 27400,
-  "âĶ": 13389,
-  "âĶĢ": 45139,
-  "âĶģ": 42022,
-  "âķ": 17027,
-  "âķIJ": 48039,
-  "âĸ": 4168,
-  "âĸª": 21203,
-  "âĸª</w>": 36628,
-  "âĸªï¸ı</w>": 24974,
-  "âĸ«": 39478,
-  "âĸ¬": 33798,
-  "âĸ¬âĸ¬": 36975,
-  "âĸ¶": 12509,
-  "âĸ¶</w>": 21126,
-  "âĸ¶ï¸ı</w>": 14442,
-  "âĸº": 46061,
-  "âĸº</w>": 12086,
-  "âĸ½": 45634,
-  "âĸł</w>": 36791,
-  "âĹ": 9323,
-  "âĹĨ</w>": 48961,
-  "âĹı</w>": 26999,
-  "âĺ": 1741,
-  "âĺ®</w>": 45851,
-  "âĺ¹": 28811,
-  "âĺ¹ï¸ı</w>": 39605,
-  "âĺº": 5010,
-  "âĺº</w>": 8703,
-  "âĺºâĺº</w>": 46051,
-  "âĺºï¸ı": 11506,
-  "âĺºï¸ı</w>": 7779,
-  "âĺºï¸ıâĺºï¸ı</w>": 41315,
-  "âĺ¼</w>": 38877,
-  "âĺĢ": 32146,
-  "âĺĢ</w>": 22242,
-  "âĺĢï¸ı": 12817,
-  "âĺĢï¸ı</w>": 8219,
-  "âĺĢï¸ıâĺĢï¸ı": 44550,
-  "âĺģ": 25195,
-  "âĺģï¸ı</w>": 35197,
-  "âĺĥ": 38972,
-  "âĺħ": 9339,
-  "âĺħ</w>": 10643,
-  "âĺħâĺħ": 12681,
-  "âĺħâĺħ</w>": 36644,
-  "âĺħâĺħâĺħâĺħ": 34431,
-  "âĺħâĺħâĺħâĺħ</w>": 44034,
-  "âĺħâĺħâĺħâĺħâĺħ</w>": 45984,
-  "âĺĨ": 23941,
-  "âĺĨ</w>": 13439,
-  "âĺİ": 24045,
-  "âĺİ</w>": 45493,
-  "âĺİï¸ı</w>": 27219,
-  "âĺij": 20983,
-  "âĺij</w>": 42300,
-  "âĺijï¸ı</w>": 22291,
-  "âĺĶï¸ı</w>": 31238,
-  "âĺķ": 11454,
-  "âĺķ</w>": 26561,
-  "âĺķï¸ı": 25839,
-  "âĺķï¸ı</w>": 15499,
-  "âĺĺ": 23483,
-  "âĺĺï¸ı</w>": 31454,
-  "âĺĿ": 21982,
-  "âĺĿï¸ı</w>": 38891,
-  "âĺŀ</w>": 31255,
-  "âĺłï¸ı</w>": 34672,
-  "âĻ": 1548,
-  "âĻ¡": 11091,
-  "âĻ¡</w>": 6251,
-  "âĻ¡âĻ¡": 22360,
-  "âĻ¡âĻ¡</w>": 34267,
-  "âĻ¡âĻ¡âĻ¡</w>": 36611,
-  "âĻ¤</w>": 47435,
-  "âĻ¥": 4622,
-  "âĻ¥</w>": 3405,
-  "âĻ¥âĻ¥": 12975,
-  "âĻ¥âĻ¥</w>": 19604,
-  "âĻ¥âĻ¥âĻ¥</w>": 23255,
-  "âĻ¥âĻ¥âĻ¥âĻ¥": 49020,
-  "âĻ¥ï¸ı": 17774,
-  "âĻ¥ï¸ı</w>": 10561,
-  "âĻ¥ï¸ıâĻ¥ï¸ı": 40309,
-  "âĻ¦": 32376,
-  "âĻ¦</w>": 47547,
-  "âĻ©": 30339,
-  "âĻ©âĻ«</w>": 31636,
-  "âĻª": 27364,
-  "âĻª</w>": 12382,
-  "âĻ«": 39217,
-  "âĻ«</w>": 10814,
-  "âĻ¬</w>": 24753,
-  "âĻ»": 39611,
-  "âĻ»ï¸ı</w>": 46075,
-  "âļ": 2234,
-  "âļ¡": 40098,
-  "âļ¡</w>": 20712,
-  "âļ¡ï¸ı": 19500,
-  "âļ¡ï¸ı</w>": 11605,
-  "âļ¡ï¸ıâļ¡ï¸ı</w>": 45922,
-  "âļª": 11922,
-  "âļª</w>": 36373,
-  "âļªï¸ı": 22251,
-  "âļªï¸ı</w>": 17885,
-  "âļ«": 15374,
-  "âļ«ï¸ı": 26529,
-  "âļ«ï¸ı</w>": 24649,
-  "âļ½": 4867,
-  "âļ½</w>": 13173,
-  "âļ½âļ½": 43259,
-  "âļ½ï¸ı": 11342,
-  "âļ½ï¸ı</w>": 6768,
-  "âļ½ï¸ıâļ½ï¸ı": 30358,
-  "âļ½ï¸ıâļ½ï¸ı</w>": 44148,
-  "âļ¾": 11314,
-  "âļ¾</w>": 34717,
-  "âļ¾ï¸ı": 24727,
-  "âļ¾ï¸ı</w>": 14858,
-  "âļĵ": 23522,
-  "âļĵï¸ı</w>": 35299,
-  "âļĶï¸ı</w>": 29361,
-  "âļľ": 47491,
-  "âļł</w>": 39203,
-  "âļłï¸ı": 40966,
-  "âļłï¸ı</w>": 15596,
-  "âĽ": 7956,
-  "âĽ³ï¸ı</w>": 29204,
-  "âĽĦ": 30668,
-  "âĽĦï¸ı</w>": 45465,
-  "âľ": 1508,
-  "⾨": 7181,
-  "⾨</w>": 3531,
-  "⾨⾨": 35174,
-  "⾨⾨</w>": 21985,
-  "⾨⾨⾨</w>": 39424,
-  "âľĤ": 38602,
-  "âľħ": 29544,
-  "âľħ</w>": 5564,
-  "âľĪ": 10682,
-  "âľĪ</w>": 30712,
-  "âľĪï¸ı": 26176,
-  "âľĪï¸ı</w>": 13413,
-  "âľĬ": 12392,
-  "âľĬ</w>": 17819,
-  "âľĬðŁı½</w>": 48547,
-  "âľĬðŁı¾</w>": 41185,
-  "âľĭ": 39383,
-  "âľĭ</w>": 30239,
-  "âľĮ": 6419,
-  "âľĮ</w>": 12656,
-  "âľĮï¸ı": 21906,
-  "âľĮï¸ı</w>": 12239,
-  "âľĮðŁı»</w>": 30538,
-  "âľĮðŁı¼</w>": 30588,
-  "âľį": 20872,
-  "âľįï¸ı</w>": 30888,
-  "âľı": 32574,
-  "âľıï¸ı</w>": 40724,
-  "âľĵ</w>": 36700,
-  "âľĶ": 47200,
-  "âľĶ</w>": 13749,
-  "âľĶï¸ı": 40544,
-  "âľĶï¸ı</w>": 9191,
-  "âľĸï¸ı</w>": 44133,
-  "âľĿ": 42220,
-  "âĿ": 1045,
-  "âĿ£": 37007,
-  "âĿ£</w>": 25623,
-  "âĿ£ï¸ı</w>": 25240,
-  "âĿ¤": 1266,
-  "âĿ¤</w>": 2720,
-  "âĿ¤âĿ¤": 9033,
-  "âĿ¤âĿ¤</w>": 14058,
-  "âĿ¤âĿ¤âĿ¤</w>": 16708,
-  "âĿ¤âĿ¤âĿ¤âĿ¤": 37918,
-  "âĿ¤âĿ¤âĿ¤âĿ¤</w>": 43970,
-  "âĿ¤ï¸ı": 2626,
-  "âĿ¤ï¸ı#</w>": 30281,
-  "âĿ¤ï¸ı.</w>": 45326,
-  "âĿ¤ï¸ı</w>": 1752,
-  "âĿ¤ï¸ı@</w>": 31187,
-  "âĿ¤ï¸ıâĿ¤ï¸ı": 6713,
-  "âĿ¤ï¸ıâĿ¤ï¸ı</w>": 10363,
-  "âĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ı</w>": 12282,
-  "âĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ı": 39167,
-  "âĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ı</w>": 29880,
-  "âĿ¤ï¸ıðŁĴĻ</w>": 37380,
-  "âĿ¤ï¸ıðŁĺį</w>": 37272,
-  "âĿ¤ï¸ıðŁĺĺ</w>": 41800,
-  "âĿ¤ðŁĺį</w>": 49120,
-  "âĿ¥</w>": 36914,
-  "âĿĦ": 8501,
-  "âĿĦ</w>": 30494,
-  "âĿĦï¸ı": 16834,
-  "âĿĦï¸ı</w>": 12402,
-  "âĿĦï¸ıâĿĦï¸ı": 41626,
-  "âĿĮ": 44485,
-  "âĿĮ</w>": 17975,
-  "âĿĵ</w>": 29791,
-  "âĿĹ": 12868,
-  "âĿĹ</w>": 29079,
-  "âĿĹï¸ı": 28642,
-  "âĿĹï¸ı</w>": 17391,
-  "âĿĿ</w>": 46951,
-  "âŀ": 3257,
-  "âŀ¡</w>": 12854,
-  "âŀ¡ï¸ı": 31860,
-  "âŀ¡ï¸ı</w>": 4956,
-  "âŀ¤</w>": 18651,
-  "âŀķ</w>": 46526,
-  "âŀĸ": 21327,
-  "âŀĸ</w>": 34902,
-  "âŀĸâŀĸ": 23316,
-  "âŀĸâŀĸâŀĸâŀĸ": 40401,
-  "âŀľ</w>": 23775,
-  "âł": 5689,
-  "âłĢ": 9691,
-  "âłĢ</w>": 8621,
-  "âłĢâłĢ": 11466,
-  "âłĢâłĢ</w>": 39092,
-  "âłĢâłĢâłĢâłĢ": 20976,
-  "âłĢâłĢâłĢâłĢâłĢâłĢâłĢâłĢ": 46063,
-  "âŃ": 5527,
-  "âŃIJ": 6410,
-  "âŃIJ</w>": 19012,
-  "âŃIJâŃIJ": 32663,
-  "âŃIJï¸ı": 12427,
-  "âŃIJï¸ı</w>": 10251,
-  "âŃIJï¸ıâŃIJï¸ı": 18640,
-  "âŃIJï¸ıâŃIJï¸ıâŃIJï¸ı</w>": 40746,
-  "ã": 159,
-  "ã</w>": 415,
-  "ãĢ": 4092,
-  "ãĢģ</w>": 45262,
-  "ãĢĤ": 38060,
-  "ãĢĤ</w>": 38000,
-  "ãĢĬ</w>": 39920,
-  "ãĢĭ</w>": 32898,
-  "ãĢĮ</w>": 18116,
-  "ãĢį</w>": 19149,
-  "ãĢİ</w>": 26947,
-  "ãĢı</w>": 30293,
-  "ãĢIJ</w>": 12534,
-  "ãĢij</w>": 12990,
-  "ãĢľ</w>": 39581,
-  "ãģ": 4813,
-  "ãģ¦": 48029,
-  "ãģ¨": 34671,
-  "ãģ¨ç¹ĭãģ": 47310,
-  "ãģ¨ç¹ĭãģĮãĤĬãģŁãģĦ</w>": 48290,
-  "ãģª": 29104,
-  "ãģ®": 21575,
-  "ãģ·": 44130,
-  "ãģĦ": 33523,
-  "ãģĦ</w>": 38850,
-  "ãģĨ": 44235,
-  "ãģį": 42184,
-  "ãĤ": 3909,
-  "ãĤ¢": 26560,
-  "ãĤ¤": 19319,
-  "ãĤ¤ãĥ": 36294,
-  "ãĤ«": 37367,
-  "ãĤ¯": 31574,
-  "ãĤ·": 37665,
-  "ãĤ¸": 32234,
-  "ãĤ¸ãĥ": 43491,
-  "ãĤ¹": 22694,
-  "ãĤ¹</w>": 39220,
-  "ãĤ¹ãĥ": 32421,
-  "ãĤ¿": 34941,
-  "ãĤĬãģ": 40500,
-  "ãĤĮ</w>": 45211,
-  "ãĤŃ": 47121,
-  "ãĥ": 2429,
-  "ãĥ©": 23007,
-  "ãĥª": 32115,
-  "ãĥ«": 33257,
-  "ãĥ¬": 32965,
-  "ãĥ³": 17671,
-  "ãĥ³</w>": 26875,
-  "ãĥ³ãĤ": 45105,
-  "ãĥ³ãĥ": 25914,
-  "ãĥ»": 8415,
-  "ãĥ»</w>": 11158,
-  "ãĥ»ãĥ»": 13949,
-  "ãĥ»ãĥ»ãĥ»</w>": 14234,
-  "ãĥ¼": 13457,
-  "ãĥ¼</w>": 30391,
-  "ãĥ¼ãĥ": 18584,
-  "ãĥĥ": 28902,
-  "ãĥĦ</w>": 32173,
-  "ãĥĪ": 42384,
-  "ãĥİ</w>": 39967,
-  "ãĥķãĤ": 33371,
-  "ãĥŀ": 48924,
-  "ãĥŃ": 35827,
-  "ãħ": 5947,
-  "ãħ¤": 21096,
-  "ãħ¤ãħ¤": 22583,
-  "ãħ¤ãħ¤ãħ¤ãħ¤": 39329,
-  "ãħĭ": 13052,
-  "ãħĭ</w>": 25108,
-  "ãħĭãħĭ": 16604,
-  "ãħĭãħĭ</w>": 42581,
-  "ãħĭãħĭãħĭ</w>": 46407,
-  "ãħĭãħĭãħĭãħĭ": 39362,
-  "ãħł": 16089,
-  "ãħł</w>": 25781,
-  "ãħłãħł": 22021,
-  "ãħłãħł</w>": 34398,
-  "ãħłãħłãħłãħł": 47028,
-  "ä": 160,
-  "ä</w>": 416,
-  "ä¸": 19759,
-  "ä¹": 41854,
-  "äº": 21078,
-  "人": 36839,
-  "ä»": 37743,
-  "ä½": 47466,
-  "å": 161,
-  "å</w>": 417,
-  "å¤": 23170,
-  "å¥": 29290,
-  "å®": 27047,
-  "å°": 34720,
-  "å±": 46096,
-  "å¸": 42021,
-  "å¹": 38780,
-  "åħ": 34314,
-  "åĨ": 27972,
-  "åĨĻ": 44653,
-  "åĪ": 42748,
-  "åĭ": 47505,
-  "åı": 34517,
-  "åIJ": 41673,
-  "åĽ": 39027,
-  "åľ": 37746,
-  "åŃ": 35751,
-  "æ": 162,
-  "æ</w>": 418,
-  "æĸ": 29032,
-  "æĹ": 22265,
-  "æĹ¥": 39121,
-  "æĹ¥</w>": 37156,
-  "æĺ": 42891,
-  "æĻ": 48132,
-  "æľ": 19277,
-  "æľ¬": 44353,
-  "æĿ": 27667,
-  "æĿ±": 48338,
-  "ç": 163,
-  "ç</w>": 419,
-  "ç¥": 26369,
-  "ç¥Ń</w>": 42557,
-  "çµ": 37810,
-  "ç¹": 43431,
-  "ç¹ĭãģ": 45930,
-  "çĶ": 20211,
-  "çĶŁ": 33375,
-  "çľ": 33440,
-  "羣": 41570,
-  "è": 164,
-  "è</w>": 420,
-  "èª": 34002,
-  "èªķ": 41293,
-  "é": 165,
-  "é</w>": 421,
-  "éģ": 44854,
-  "éĩ": 38283,
-  "ê": 166,
-  "ê</w>": 422,
-  "ê°": 21122,
-  "ê°ĵ": 41076,
-  "ê°ĵìĦ¸ë¸IJ</w>": 41689,
-  "ê°ķ": 45758,
-  "ê²": 35555,
-  "ê³": 36216,
-  "êµ": 31871,
-  "ê·": 42680,
-  "ê¸": 32495,
-  "ê¹": 24531,
-  "ê¹Ģ": 25203,
-  "ë": 167,
-  "ë</w>": 423,
-  "ë¦": 24621,
-  "리": 47649,
-  "ë§": 28024,
-  "ë§Ī": 40027,
-  "ëª": 36311,
-  "ë¯": 19528,
-  "민": 34442,
-  "민</w>": 44632,
-  "ë°": 15810,
-  "ë°©": 23273,
-  "ë°©íĥ": 25081,
-  "ë°©íĥĦ": 25641,
-  "ë°©íĥĦìĨĮëħĦëĭ": 26068,
-  "ë°©íĥĦìĨĮëħĦëĭ¨</w>": 27129,
-  "ë°ķ": 40988,
-  "ë²": 48267,
-  "ë³": 44693,
-  "ë¹": 24193,
-  "ëĤ": 27252,
-  "ëĤĺ": 48484,
-  "ëĭ": 13094,
-  "ëĭ¤": 46680,
-  "ëĭĪ": 33708,
-  "ëį": 45543,
-  "ëı": 31972,
-  "ëĵ": 30850,
-  "ëĿ": 44317,
-  "ì": 168,
-  "ì</w>": 424,
-  "ì£": 39856,
-  "주": 45161,
-  "ì¤": 31153,
-  "ì§": 16279,
-  "ì§Ģ": 28836,
-  "ì§Ħ</w>": 38890,
-  "ì°": 40742,
-  "ì¶": 42476,
-  "ì¶ķ": 46403,
-  "ì¶ķíķĺ": 47866,
-  "ì¹": 45088,
-  "ìĤ": 31061,
-  "ìĥ": 30587,
-  "ìĥĿ": 47858,
-  "ìĦ": 15074,
-  "ìĦ¸ë": 29254,
-  "ìĦ¸ë¸": 29658,
-  "ìĦ¸ë¸IJ</w>": 41415,
-  "ìĨ": 15115,
-  "ìĨĮë": 20515,
-  "ìĨĮëħ": 21391,
-  "ìĨĮëħĦëĭ": 25887,
-  "ìĪ": 32757,
-  "ìĬ": 12125,
-  "ìĬ¤": 20305,
-  "ìĬ¤</w>": 23829,
-  "ìĭ": 23924,
-  "ìķ": 16071,
-  "ìķĦ": 23233,
-  "ìĸ": 31625,
-  "ìĹ": 13252,
-  "ìĹIJ": 37622,
-  "ìĹij": 31036,
-  "ìĹijìĨ": 42763,
-  "ìĹijìĨĮ</w>": 45606,
-  "ìĺ": 21144,
-  "ìĻ": 39405,
-  "ìļ": 18541,
-  "ìļ°": 38415,
-  "ìļ°</w>": 49344,
-  "ìĽ": 22543,
-  "ìĽIJ</w>": 36495,
-  "ìľ": 20909,
-  "ìľł": 42890,
-  "ìĿ": 8276,
-  "ìĿ´": 12286,
-  "ìĿ´</w>": 34746,
-  "ìĿ´ì": 37590,
-  "ìĿ¼": 43406,
-  "ìŀ": 20849,
-  "ìł": 20580,
-  "ìłķ": 34725,
-  "í": 169,
-  "í</w>": 425,
-  "íģ": 35641,
-  "íģ¬</w>": 45832,
-  "íĤ": 43565,
-  "íĥ": 15012,
-  "íĥĢ": 41126,
-  "íĥľ": 37663,
-  "íĬ": 23215,
-  "íĬ¸": 48974,
-  "íĬ¸</w>": 39820,
-  "íĭ": 34350,
-  "íĶ": 29450,
-  "íķ": 15197,
-  "íķ´</w>": 35286,
-  "íķĺ": 33992,
-  "íĺ": 15962,
-  "íĺ¸</w>": 39657,
-  "íĺĦ</w>": 34645,
-  "íĻ": 31882,
-  "î": 170,
-  "î</w>": 426,
-  "îĢ": 36288,
-  "îĦ": 35368,
-  "îĮ": 41006,
-  "îIJ": 16929,
-  "îIJĴ": 40100,
-  "ï": 171,
-  "ï</w>": 427,
-  "ï¸": 842,
-  "ï¸İ</w>": 24029,
-  "ï¸ı": 1392,
-  "ï¸ı#</w>": 46997,
-  "ï¸ı:</w>": 32604,
-  "ï¸ı</w>": 1001,
-  "ï¸ı@</w>": 34600,
-  "ï¸ıâĥ£": 17394,
-  "ï¸ıâĥ£-</w>": 40376,
-  "ï¸ıâĥ£</w>": 4603,
-  "ï¿": 27850,
-  "�": 47356,
-  "�</w>": 39802,
-  "ð": 172,
-  "ð</w>": 428,
-  "ðĿ": 6874,
-  "ðĿIJ": 15889,
-  "ðĿij": 43794,
-  "ðĿĴ": 43387,
-  "ðĿĵ": 47110,
-  "ðĿĹ": 18865,
-  "ðĿĺ": 26109,
-  "ðĿĻ": 29415,
-  "ðŁ": 558,
-  "ðŁ¤": 1793,
-  "ðŁ¤£": 9665,
-  "ðŁ¤£</w>": 9909,
-  "ðŁ¤£ðŁ¤£": 16430,
-  "ðŁ¤£ðŁ¤£</w>": 31009,
-  "ðŁ¤£ðŁ¤£ðŁ¤£</w>": 32262,
-  "ðŁ¤¤": 39550,
-  "ðŁ¤¤</w>": 26759,
-  "ðŁ¤¦": 17186,
-  "ðŁ¤§</w>": 40983,
-  "ðŁ¤©": 27351,
-  "ðŁ¤©</w>": 16074,
-  "ðŁ¤ª": 44230,
-  "ðŁ¤ª</w>": 24920,
-  "ðŁ¤«</w>": 47671,
-  "ðŁ¤¯</w>": 37595,
-  "ðŁ¤·": 13185,
-  "ðŁ¤·ðŁı»âĢįâĻĢï¸ı</w>": 46770,
-  "ðŁ¤ij</w>": 34801,
-  "ðŁ¤ĵ": 36580,
-  "ðŁ¤ĵ</w>": 18928,
-  "ðŁ¤Ķ": 12706,
-  "ðŁ¤Ķ</w>": 6497,
-  "ðŁ¤ĶðŁ¤Ķ</w>": 28490,
-  "ðŁ¤ĶðŁ¤ĶðŁ¤Ķ</w>": 43361,
-  "ðŁ¤ĸ</w>": 46146,
-  "ðŁ¤Ĺ": 16646,
-  "ðŁ¤Ĺ</w>": 10465,
-  "ðŁ¤ĹðŁ¤Ĺ</w>": 44321,
-  "ðŁ¤ĺ": 10623,
-  "ðŁ¤ĺ</w>": 17288,
-  "ðŁ¤ĺðŁı»": 46449,
-  "ðŁ¤ĺðŁı»</w>": 30891,
-  "ðŁ¤ĺðŁı¼</w>": 31458,
-  "ðŁ¤ĺðŁı½</w>": 49362,
-  "ðŁ¤Ļ": 23800,
-  "ðŁ¤Ļ</w>": 39101,
-  "ðŁ¤Ŀ</w>": 35242,
-  "ðŁ¤ŀ": 29463,
-  "ðŁ¤ŀ</w>": 38597,
-  "ðŁ¤Ł": 48509,
-  "ðŁ¤ł</w>": 36737,
-  "ðŁ¤Ń</w>": 47289,
-  "ðŁ¥": 4156,
-  "ðŁ¥°": 29246,
-  "ðŁ¥°</w>": 17597,
-  "ðŁ¥³": 45823,
-  "ðŁ¥³</w>": 28055,
-  "ðŁ¥º": 43380,
-  "ðŁ¥º</w>": 36858,
-  "ðŁ¥Ĥ": 43805,
-  "ðŁ¥Ĥ</w>": 25212,
-  "ðŁ¥ĥ</w>": 47790,
-  "ðŁ¥ĩ": 34372,
-  "ðŁ¥ĩ</w>": 20069,
-  "ðŁ¥Ī</w>": 35858,
-  "ðŁ¥ī</w>": 36782,
-  "ðŁ¥Ĭ</w>": 29275,
-  "ðŁ¦": 6040,
-  "ðŁ¦ģ": 36367,
-  "ðŁ¦ģ</w>": 26056,
-  "ðŁ¦ĥ</w>": 40184,
-  "ðŁ¦Ħ</w>": 37659,
-  "ðŁ¦ħ</w>": 28800,
-  "ðŁ¦Ī</w>": 48984,
-  "ðŁ¦ĭ": 49325,
-  "ðŁ¦ĭ</w>": 28985,
-  "ðŁ§": 8792,
-  "ðŁ§¡": 30996,
-  "ðŁ§¡</w>": 24578,
-  "ðŁ§IJ</w>": 33549,
-  "ðŁħ": 22010,
-  "ðŁĨ": 9536,
-  "ðŁĨķ</w>": 34956,
-  "ðŁĨĺ</w>": 39868,
-  "ðŁĨļ</w>": 16325,
-  "ðŁĩ": 1173,
-  "ðŁĩ¦": 12469,
-  "ðŁĩ¦</w>": 28565,
-  "ðŁĩ¦ðŁĩ": 33196,
-  "ðŁĩ¦ðŁĩ·</w>": 41629,
-  "ðŁĩ¦ðŁĩº</w>": 25192,
-  "ðŁĩ§": 14660,
-  "ðŁĩ§ðŁĩ": 37342,
-  "ðŁĩ§ðŁĩª</w>": 38794,
-  "ðŁĩ§ðŁĩ·</w>": 28182,
-  "ðŁĩ¨": 8889,
-  "ðŁĩ¨ðŁĩ": 8989,
-  "ðŁĩ¨ðŁĩ¦": 34324,
-  "ðŁĩ¨ðŁĩ¦</w>": 16364,
-  "ðŁĩ¨ðŁĩ³</w>": 36819,
-  "ðŁĩ¨ðŁĩŃ</w>": 41119,
-  "ðŁĩ©": 15222,
-  "ðŁĩ©ðŁĩ": 36350,
-  "ðŁĩ©ðŁĩª</w>": 21531,
-  "ðŁĩª": 11428,
-  "ðŁĩª</w>": 12331,
-  "ðŁĩªðŁĩ": 13917,
-  "ðŁĩªðŁĩ¸</w>": 22177,
-  "ðŁĩªðŁĩº</w>": 34655,
-  "ðŁĩ«": 12977,
-  "ðŁĩ«ðŁĩ·": 39109,
-  "ðŁĩ«ðŁĩ·</w>": 16223,
-  "ðŁĩ¬": 8129,
-  "ðŁĩ¬ðŁĩ": 8354,
-  "ðŁĩ¬ðŁĩ§": 23762,
-  "ðŁĩ¬ðŁĩ§</w>": 11559,
-  "ðŁĩ®": 8268,
-  "ðŁĩ®ðŁĩ": 8347,
-  "ðŁĩ®ðŁĩª</w>": 34148,
-  "ðŁĩ®ðŁĩ³": 47299,
-  "ðŁĩ®ðŁĩ³</w>": 23602,
-  "ðŁĩ®ðŁĩ¹": 42034,
-  "ðŁĩ®ðŁĩ¹</w>": 17070,
-  "ðŁĩ¯": 20090,
-  "ðŁĩ¯ðŁĩ": 22924,
-  "ðŁĩ¯ðŁĩµ</w>": 26527,
-  "ðŁĩ°": 28232,
-  "ðŁĩ±": 29533,
-  "ðŁĩ±ðŁĩ": 40941,
-  "ðŁĩ²": 16411,
-  "ðŁĩ²ðŁĩ": 17562,
-  "ðŁĩ²ðŁĩ½</w>": 32073,
-  "ðŁĩ³": 16645,
-  "ðŁĩ³ðŁĩ": 17747,
-  "ðŁĩ³ðŁĩ±</w>": 36747,
-  "ðŁĩµ": 12127,
-  "ðŁĩµðŁĩ": 13608,
-  "ðŁĩµðŁĩ°</w>": 37764,
-  "ðŁĩµðŁĩ¹</w>": 42621,
-  "ðŁĩµðŁĩŃ</w>": 42777,
-  "ðŁĩ·": 16026,
-  "ðŁĩ·</w>": 9869,
-  "ðŁĩ·ðŁĩº</w>": 37902,
-  "ðŁĩ¸": 19447,
-  "ðŁĩ¸ðŁĩ": 33325,
-  "ðŁĩ¸ðŁĩª</w>": 39260,
-  "ðŁĩ¹": 21810,
-  "ðŁĩ¹ðŁĩ": 36250,
-  "ðŁĩº": 4054,
-  "ðŁĩº</w>": 17467,
-  "ðŁĩºðŁĩ": 4131,
-  "ðŁĩºðŁĩ¸": 8907,
-  "ðŁĩºðŁĩ¸</w>": 5688,
-  "ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸": 18739,
-  "ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸</w>": 41411,
-  "ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸</w>": 43357,
-  "ðŁĩ¿": 25520,
-  "ðŁĩ¿ðŁĩ¦</w>": 36982,
-  "ðŁĩŃ": 30370,
-  "ðŁĮ": 1576,
-  "ðŁĮ±": 35318,
-  "ðŁĮ±</w>": 20665,
-  "ðŁĮ²": 34071,
-  "ðŁĮ²</w>": 28154,
-  "ðŁĮ³": 44265,
-  "ðŁĮ³</w>": 28543,
-  "ðŁĮ´": 20643,
-  "ðŁĮ´</w>": 15968,
-  "ðŁĮµ</w>": 40871,
-  "ðŁĮ·": 32328,
-  "ðŁĮ·</w>": 24259,
-  "ðŁĮ¸": 16314,
-  "ðŁĮ¸</w>": 10980,
-  "ðŁĮ¸ðŁĮ¸": 46210,
-  "ðŁĮ¹": 14990,
-  "ðŁĮ¹</w>": 10662,
-  "ðŁĮ¹ðŁĮ¹": 37933,
-  "ðŁĮº": 27608,
-  "ðŁĮº</w>": 19829,
-  "ðŁĮ»": 27196,
-  "ðŁĮ»</w>": 19772,
-  "ðŁĮ¼": 36484,
-  "ðŁĮ¼</w>": 26312,
-  "ðŁĮ¾</w>": 39796,
-  "ðŁĮ¿": 27736,
-  "ðŁĮ¿</w>": 18588,
-  "ðŁĮĢ</w>": 34348,
-  "ðŁĮħ</w>": 27547,
-  "ðŁĮĪ": 23038,
-  "ðŁĮĪ</w>": 13042,
-  "ðŁĮĬ": 20465,
-  "ðŁĮĬ</w>": 14302,
-  "ðŁĮĮ</w>": 43393,
-  "ðŁĮį": 34931,
-  "ðŁĮį</w>": 18641,
-  "ðŁĮİ": 31125,
-  "ðŁĮİ</w>": 16969,
-  "ðŁĮı</w>": 31527,
-  "ðŁĮIJ</w>": 33071,
-  "ðŁĮĻ": 42330,
-  "ðŁĮĻ</w>": 23283,
-  "ðŁĮļ": 49004,
-  "ðŁĮļ</w>": 27877,
-  "ðŁĮŀ": 21152,
-  "ðŁĮŀ</w>": 12980,
-  "ðŁĮŁ": 13196,
-  "ðŁĮŁ</w>": 8542,
-  "ðŁĮŁðŁĮŁ": 26014,
-  "ðŁį": 2011,
-  "ðŁį¦": 47375,
-  "ðŁį¦</w>": 32032,
-  "ðŁį©</w>": 38379,
-  "ðŁįª</w>": 38958,
-  "ðŁį«": 47994,
-  "ðŁį«</w>": 33401,
-  "ðŁį°": 43732,
-  "ðŁį°</w>": 30051,
-  "ðŁį³</w>": 37441,
-  "ðŁį´": 41531,
-  "ðŁį´</w>": 25338,
-  "ðŁį·": 24445,
-  "ðŁį·</w>": 18072,
-  "ðŁį¸": 43058,
-  "ðŁį¸</w>": 31217,
-  "ðŁį¹</w>": 35598,
-  "ðŁįº": 31081,
-  "ðŁįº</w>": 21590,
-  "ðŁį»": 22793,
-  "ðŁį»</w>": 13167,
-  "ðŁį¾": 27294,
-  "ðŁį¾</w>": 21656,
-  "ðŁįĢ": 22865,
-  "ðŁįĢ</w>": 15764,
-  "ðŁįģ": 29837,
-  "ðŁįģ</w>": 23075,
-  "ðŁįĤ": 35015,
-  "ðŁįĤ</w>": 25721,
-  "ðŁįĥ": 27157,
-  "ðŁįĥ</w>": 20147,
-  "ðŁįĩ</w>": 48697,
-  "ðŁįĬ": 35001,
-  "ðŁįĬ</w>": 28036,
-  "ðŁįĭ</w>": 39543,
-  "ðŁįĮ</w>": 44987,
-  "ðŁįį</w>": 48946,
-  "ðŁįİ</w>": 32069,
-  "ðŁįij</w>": 32889,
-  "ðŁįĴ</w>": 33160,
-  "ðŁįĵ": 44739,
-  "ðŁįĵ</w>": 33456,
-  "ðŁįĶ": 46415,
-  "ðŁįĶ</w>": 36031,
-  "ðŁįķ": 31469,
-  "ðŁįķ</w>": 23904,
-  "ðŁįŃ</w>": 42100,
-  "ðŁİ": 1165,
-  "ðŁİ£</w>": 43158,
-  "ðŁİ¤": 23490,
-  "ðŁİ¤</w>": 15690,
-  "ðŁİ¥": 22186,
-  "ðŁİ¥:</w>": 43640,
-  "ðŁİ¥</w>": 13233,
-  "ðŁİ§": 31254,
-  "ðŁİ§</w>": 14266,
-  "ðŁİ¨": 31953,
-  "ðŁİ¨</w>": 13461,
-  "ðŁİ©</w>": 37701,
-  "ðŁİ«</w>": 30331,
-  "ðŁİ¬": 36020,
-  "ðŁİ¬</w>": 18150,
-  "ðŁİ®</w>": 29312,
-  "ðŁİ¯</w>": 23114,
-  "ðŁİµ": 27435,
-  "ðŁİµ</w>": 14946,
-  "ðŁİ¶": 11755,
-  "ðŁİ¶</w>": 6011,
-  "ðŁİ¶ðŁİ¶</w>": 36283,
-  "ðŁİ¸": 29135,
-  "ðŁİ¸</w>": 22122,
-  "ðŁİ¹</w>": 43493,
-  "ðŁİ¼": 34949,
-  "ðŁİ¼</w>": 23757,
-  "ðŁİ¾": 41982,
-  "ðŁİ¾</w>": 24222,
-  "ðŁİĢ": 34347,
-  "ðŁİĢ</w>": 20151,
-  "ðŁİģ": 18368,
-  "ðŁİģ</w>": 13462,
-  "ðŁİĤ": 13026,
-  "ðŁİĤ</w>": 10392,
-  "ðŁİĤðŁİĤ": 39338,
-  "ðŁİĥ": 22622,
-  "ðŁİĥ</w>": 16780,
-  "ðŁİĦ": 12942,
-  "ðŁİĦ</w>": 11267,
-  "ðŁİħ": 17685,
-  "ðŁİħ</w>": 24276,
-  "ðŁİĨ</w>": 39222,
-  "ðŁİĪ": 16142,
-  "ðŁİĪ</w>": 14448,
-  "ðŁİĪðŁİī</w>": 48049,
-  "ðŁİī": 4310,
-  "ðŁİī:</w>": 17310,
-  "ðŁİī</w>": 3986,
-  "ðŁİīðŁİ": 11473,
-  "ðŁİīðŁİĪ": 40499,
-  "ðŁİīðŁİĪ</w>": 34008,
-  "ðŁİīðŁİī": 25159,
-  "ðŁİīðŁİī</w>": 13450,
-  "ðŁİīðŁİīðŁİī</w>": 20828,
-  "ðŁİīðŁİĬ": 31662,
-  "ðŁİīðŁİĬ</w>": 30781,
-  "ðŁİĬ": 22763,
-  "ðŁİĬ</w>": 22425,
-  "ðŁİĬðŁİī</w>": 48801,
-  "ðŁİĵ": 28916,
-  "ðŁİĵ</w>": 18744,
-  "ðŁİĻ": 29001,
-  "ðŁİĻ</w>": 29753,
-  "ðŁİĻï¸ı</w>": 44205,
-  "ðŁİŁ": 19248,
-  "ðŁİŁ</w>": 21107,
-  "ðŁİŁï¸ı</w>": 30243,
-  "ðŁİŃ</w>": 28856,
-  "ðŁı": 1109,
-  "ðŁı¡</w>": 27318,
-  "ðŁı³ï¸ı": 26844,
-  "ðŁı³ï¸ıâĢį": 27093,
-  "ðŁı³ï¸ıâĢįðŁĮĪ</w>": 32610,
-  "ðŁı´": 39690,
-  "ðŁı´</w>": 19704,
-  "ðŁı»": 5042,
-  "ðŁı»</w>": 3702,
-  "ðŁı»âĢį": 46250,
-  "ðŁı»âĢįâĻĢï¸ı": 48391,
-  "ðŁı»âĢįâĻĢï¸ı</w>": 23595,
-  "ðŁı»âĢįâĻĤï¸ı</w>": 30984,
-  "ðŁı¼": 6193,
-  "ðŁı¼</w>": 4027,
-  "ðŁı¼âĢįâĻĢï¸ı</w>": 28955,
-  "ðŁı½": 8514,
-  "ðŁı½</w>": 6114,
-  "ðŁı½âĢįâĻĢï¸ı</w>": 37036,
-  "ðŁı½âĢįâĻĤï¸ı</w>": 43157,
-  "ðŁı¾": 10230,
-  "ðŁı¾</w>": 7778,
-  "ðŁı¾âĢįâĻĤï¸ı</w>": 47189,
-  "ðŁı¿": 29854,
-  "ðŁı¿</w>": 21094,
-  "ðŁıĢ": 13708,
-  "ðŁıĢ</w>": 8813,
-  "ðŁıĢðŁıĢ": 43169,
-  "ðŁıģ": 29423,
-  "ðŁıģ</w>": 17473,
-  "ðŁıĥ": 16820,
-  "ðŁıĥ</w>": 32751,
-  "ðŁıħ</w>": 25500,
-  "ðŁıĨ": 9585,
-  "ðŁıĨ</w>": 5596,
-  "ðŁıĨðŁıĨ": 18946,
-  "ðŁıĨðŁıĨ</w>": 38269,
-  "ðŁıĨðŁıĨðŁıĨ</w>": 44484,
-  "ðŁıĩ": 45789,
-  "ðŁıĩ</w>": 40288,
-  "ðŁıĪ": 16144,
-  "ðŁıĪ</w>": 10477,
-  "ðŁıī</w>": 26020,
-  "ðŁıĬ": 33061,
-  "ðŁıĬ</w>": 47830,
-  "ðŁıĮ": 41116,
-  "ðŁıı</w>": 32460,
-  "ðŁıIJ": 46334,
-  "ðŁıIJ</w>": 29433,
-  "ðŁıĴ</w>": 37756,
-  "ðŁıŁ": 35914,
-  "ðŁıŁ</w>": 26472,
-  "ðŁıŁï¸ı</w>": 42627,
-  "ðŁıł</w>": 33727,
-  "ðŁIJ": 2074,
-  "ðŁIJ¢</w>": 37049,
-  "ðŁIJ£</w>": 39597,
-  "ðŁIJ¥</w>": 42981,
-  "ðŁIJ¦</w>": 37260,
-  "ðŁIJ¬</w>": 44238,
-  "ðŁIJ¯": 34825,
-  "ðŁIJ¯</w>": 26111,
-  "ðŁIJ°": 35378,
-  "ðŁIJ°</w>": 25050,
-  "ðŁIJ±": 35710,
-  "ðŁIJ±</w>": 22979,
-  "ðŁIJ´</w>": 33509,
-  "ðŁIJ¶": 14466,
-  "ðŁIJ¶</w>": 10631,
-  "ðŁIJ·</w>": 38408,
-  "ðŁIJ¸": 45597,
-  "ðŁIJ¸</w>": 40298,
-  "ðŁIJº": 44281,
-  "ðŁIJº</w>": 31445,
-  "ðŁIJ»": 30750,
-  "ðŁIJ»</w>": 25322,
-  "ðŁIJ¼</w>": 46234,
-  "ðŁIJ¾": 16057,
-  "ðŁIJ¾</w>": 11317,
-  "ðŁIJ¾ðŁIJ¾</w>": 42202,
-  "ðŁIJī</w>": 46908,
-  "ðŁIJĬ</w>": 43974,
-  "ðŁIJį": 48903,
-  "ðŁIJį</w>": 30177,
-  "ðŁIJİ": 48281,
-  "ðŁIJİ</w>": 32726,
-  "ðŁIJIJ": 47735,
-  "ðŁIJIJ</w>": 27954,
-  "ðŁIJij</w>": 49389,
-  "ðŁIJķ</w>": 41069,
-  "ðŁIJĺ</w>": 38733,
-  "ðŁIJĿ": 30619,
-  "ðŁIJĿ</w>": 20111,
-  "ðŁIJŁ": 42084,
-  "ðŁIJŁ</w>": 29989,
-  "ðŁIJł</w>": 42725,
-  "ðŁij": 964,
-  "ðŁij£</w>": 39755,
-  "ðŁij§": 48938,
-  "ðŁij¨": 18966,
-  "ðŁij¨âĢį": 25023,
-  "ðŁij©": 18800,
-  "ðŁij©âĢį": 26304,
-  "ðŁij«": 47106,
-  "ðŁij«</w>": 35457,
-  "ðŁij®": 42686,
-  "ðŁij¯": 25910,
-  "ðŁij¯</w>": 20582,
-  "ðŁij¶": 26187,
-  "ðŁij¶</w>": 33189,
-  "ðŁij¸": 26268,
-  "ðŁij¸</w>": 36645,
-  "ðŁij¹</w>": 46766,
-  "ðŁij»": 24625,
-  "ðŁij»</w>": 16243,
-  "ðŁij¼": 25270,
-  "ðŁij¼</w>": 31083,
-  "ðŁij½": 42677,
-  "ðŁij½</w>": 26257,
-  "ðŁijĢ": 11524,
-  "ðŁijĢ</w>": 5908,
-  "ðŁijĢðŁijĢ</w>": 31561,
-  "ðŁijģ": 47796,
-  "ðŁijģ</w>": 45705,
-  "ðŁijĦ</w>": 47445,
-  "ðŁijħ": 31833,
-  "ðŁijħ</w>": 24672,
-  "ðŁijĨ": 42975,
-  "ðŁijĨ</w>": 45194,
-  "ðŁijĩ": 7662,
-  "ðŁijĩ</w>": 7475,
-  "ðŁijĩðŁı»": 45811,
-  "ðŁijĩðŁı»</w>": 32813,
-  "ðŁijĩðŁı¼</w>": 37504,
-  "ðŁijĩðŁijĩ": 17915,
-  "ðŁijĩðŁijĩ</w>": 31891,
-  "ðŁijĩðŁijĩðŁijĩ</w>": 35627,
-  "ðŁijĪ": 32794,
-  "ðŁijĪ</w>": 20832,
-  "ðŁijī": 9477,
-  "ðŁijī</w>": 3988,
-  "ðŁijīðŁı»</w>": 23481,
-  "ðŁijīðŁı¼</w>": 27534,
-  "ðŁijīðŁı½</w>": 38059,
-  "ðŁijīðŁijī</w>": 41480,
-  "ðŁijĬ": 8897,
-  "ðŁijĬ</w>": 9704,
-  "ðŁijĬðŁı»": 47393,
-  "ðŁijĬðŁı»</w>": 29152,
-  "ðŁijĬðŁı¼": 49000,
-  "ðŁijĬðŁı¼</w>": 30115,
-  "ðŁijĬðŁijĬ</w>": 46521,
-  "ðŁijĭ": 19351,
-  "ðŁijĭ</w>": 17686,
-  "ðŁijĮ": 4890,
-  "ðŁijĮ</w>": 4494,
-  "ðŁijĮðŁı»": 31818,
-  "ðŁijĮðŁı»</w>": 18606,
-  "ðŁijĮðŁı¼": 37655,
-  "ðŁijĮðŁı¼</w>": 20031,
-  "ðŁijĮðŁı½</w>": 35834,
-  "ðŁijĮðŁijĮ": 36139,
-  "ðŁijĮðŁijĮ</w>": 21435,
-  "ðŁijĮðŁijĮðŁijĮ</w>": 40876,
-  "ðŁijį": 4686,
-  "ðŁijį</w>": 4201,
-  "ðŁijįðŁı»": 25803,
-  "ðŁijįðŁı»</w>": 15129,
-  "ðŁijįðŁı¼": 37285,
-  "ðŁijįðŁı¼</w>": 19689,
-  "ðŁijįðŁı½</w>": 43722,
-  "ðŁijįðŁijį": 33012,
-  "ðŁijįðŁijį</w>": 18997,
-  "ðŁijįðŁijįðŁijį</w>": 37284,
-  "ðŁijİ": 39702,
-  "ðŁijİ</w>": 32568,
-  "ðŁijı": 3802,
-  "ðŁijı</w>": 4829,
-  "ðŁijıðŁı»": 19236,
-  "ðŁijıðŁı»</w>": 17029,
-  "ðŁijıðŁı»ðŁijıðŁı»": 35254,
-  "ðŁijıðŁı¼": 24496,
-  "ðŁijıðŁı¼</w>": 19979,
-  "ðŁijıðŁı¼ðŁijıðŁı¼</w>": 46712,
-  "ðŁijıðŁı½": 40796,
-  "ðŁijıðŁı½</w>": 33978,
-  "ðŁijıðŁı¾</w>": 45450,
-  "ðŁijıðŁijı": 10356,
-  "ðŁijıðŁijı</w>": 16706,
-  "ðŁijıðŁijıðŁijı</w>": 17254,
-  "ðŁijIJ</w>": 40877,
-  "ðŁijij": 14955,
-  "ðŁijij</w>": 8717,
-  "ðŁijijðŁijij": 48532,
-  "ðŁijķ</w>": 47865,
-  "ðŁijŁ</w>": 41183,
-  "ðŁijł</w>": 41264,
-  "ðŁijŃ": 34175,
-  "ðŁijŃ</w>": 27943,
-  "ðŁĴ": 837,
-  "ðŁĴ¡</w>": 24081,
-  "ðŁĴ£": 36862,
-  "ðŁĴ£</w>": 29006,
-  "ðŁĴ¤": 34706,
-  "ðŁĴ¤</w>": 25632,
-  "ðŁĴ¥": 12209,
-  "ðŁĴ¥</w>": 7347,
-  "ðŁĴ¥ðŁĴ¥": 27396,
-  "ðŁĴ¥ðŁĴ¥</w>": 39246,
-  "ðŁĴ¥ðŁĴ¥ðŁĴ¥</w>": 48890,
-  "ðŁĴ¦": 21180,
-  "ðŁĴ¦</w>": 14060,
-  "ðŁĴ¦ðŁĴ¦</w>": 44469,
-  "ðŁĴ§</w>": 34095,
-  "ðŁĴ¨": 27408,
-  "ðŁĴ¨</w>": 17891,
-  "ðŁĴ©": 48621,
-  "ðŁĴ©</w>": 28847,
-  "ðŁĴª": 5475,
-  "ðŁĴª</w>": 6440,
-  "ðŁĴªðŁı»": 31669,
-  "ðŁĴªðŁı»</w>": 21903,
-  "ðŁĴªðŁı¼": 32041,
-  "ðŁĴªðŁı¼</w>": 20759,
-  "ðŁĴªðŁı½": 46380,
-  "ðŁĴªðŁı½</w>": 31111,
-  "ðŁĴªðŁı¾</w>": 39398,
-  "ðŁĴªðŁĴª</w>": 24747,
-  "ðŁĴªðŁĴªðŁĴª</w>": 39913,
-  "ðŁĴ«": 25770,
-  "ðŁĴ«</w>": 12526,
-  "ðŁĴ¬</w>": 30947,
-  "ðŁĴ¯": 10611,
-  "ðŁĴ¯</w>": 7018,
-  "ðŁĴ¯ðŁĴ¯": 30234,
-  "ðŁĴ¯ðŁĴ¯</w>": 44070,
-  "ðŁĴ°": 20454,
-  "ðŁĴ°</w>": 14078,
-  "ðŁĴ°ðŁĴ°": 41747,
-  "ðŁĴµ": 47412,
-  "ðŁĴµ</w>": 38041,
-  "ðŁĴ¸": 37696,
-  "ðŁĴ¸</w>": 25957,
-  "ðŁĴ»": 33433,
-  "ðŁĴ»</w>": 18135,
-  "ðŁĴ¿</w>": 39541,
-  "ðŁĴĢ": 14888,
-  "ðŁĴĢ</w>": 12158,
-  "ðŁĴĢðŁĴĢ": 30884,
-  "ðŁĴģ": 13997,
-  "ðŁĴģ</w>": 14392,
-  "ðŁĴĥ": 9947,
-  "ðŁĴĥ</w>": 14333,
-  "ðŁĴĥðŁı»</w>": 38624,
-  "ðŁĴĥðŁĴĥ": 28041,
-  "ðŁĴĦ": 46116,
-  "ðŁĴĦ</w>": 34571,
-  "ðŁĴħ": 27457,
-  "ðŁĴħ</w>": 32414,
-  "ðŁĴī": 44316,
-  "ðŁĴī</w>": 30503,
-  "ðŁĴĭ": 12217,
-  "ðŁĴĭ</w>": 7417,
-  "ðŁĴĭðŁĴĭ</w>": 29214,
-  "ðŁĴĮ</w>": 40817,
-  "ðŁĴį": 35850,
-  "ðŁĴį</w>": 24898,
-  "ðŁĴİ": 25938,
-  "ðŁĴİ</w>": 15874,
-  "ðŁĴIJ": 27375,
-  "ðŁĴIJ</w>": 20554,
-  "ðŁĴij</w>": 49404,
-  "ðŁĴĵ": 20628,
-  "ðŁĴĵ</w>": 12568,
-  "ðŁĴĵðŁĴĵ</w>": 43505,
-  "ðŁĴĶ": 18880,
-  "ðŁĴĶ</w>": 10704,
-  "ðŁĴĶðŁĴĶ": 44673,
-  "ðŁĴķ": 5412,
-  "ðŁĴķ</w>": 3082,
-  "ðŁĴķðŁĴķ": 23106,
-  "ðŁĴķðŁĴķ</w>": 14117,
-  "ðŁĴķðŁĴķðŁĴķ</w>": 26772,
-  "ðŁĴĸ": 8466,
-  "ðŁĴĸ</w>": 5582,
-  "ðŁĴĸðŁĴĸ": 19562,
-  "ðŁĴĸðŁĴĸ</w>": 30595,
-  "ðŁĴĸðŁĴĸðŁĴĸ</w>": 33915,
-  "ðŁĴĹ": 10148,
-  "ðŁĴĹ</w>": 6690,
-  "ðŁĴĹðŁĴĹ": 47158,
-  "ðŁĴĹðŁĴĹ</w>": 24064,
-  "ðŁĴĹðŁĴĹðŁĴĹ</w>": 36990,
-  "ðŁĴĺ": 18223,
-  "ðŁĴĺ</w>": 10816,
-  "ðŁĴĺðŁĴĺ</w>": 40464,
-  "ðŁĴĻ": 5305,
-  "ðŁĴĻ</w>": 4074,
-  "ðŁĴĻðŁĴĻ": 17833,
-  "ðŁĴĻðŁĴĻ</w>": 27101,
-  "ðŁĴĻðŁĴĻðŁĴĻ</w>": 30698,
-  "ðŁĴĻðŁĴĽ": 46804,
-  "ðŁĴĻðŁĴĽ</w>": 26230,
-  "ðŁĴĻðŁĴľ": 47931,
-  "ðŁĴĻðŁĴľ</w>": 42541,
-  "ðŁĴļ": 8102,
-  "ðŁĴļ</w>": 6521,
-  "ðŁĴļðŁĴļ": 27497,
-  "ðŁĴļðŁĴļ</w>": 46209,
-  "ðŁĴļðŁĴļðŁĴļ</w>": 46182,
-  "ðŁĴļðŁĴĽ</w>": 41232,
-  "ðŁĴĽ": 8221,
-  "ðŁĴĽ</w>": 6233,
-  "ðŁĴĽðŁĴĻ</w>": 36337,
-  "ðŁĴĽðŁĴļ": 37994,
-  "ðŁĴĽðŁĴĽ": 32420,
-  "ðŁĴľ": 6832,
-  "ðŁĴľ</w>": 4882,
-  "ðŁĴľðŁĴľ": 17280,
-  "ðŁĴľðŁĴľ</w>": 28211,
-  "ðŁĴľðŁĴľðŁĴľ</w>": 31004,
-  "ðŁĴĿ": 36761,
-  "ðŁĴĿ</w>": 22002,
-  "ðŁĴŀ": 14862,
-  "ðŁĴŀ</w>": 8988,
-  "ðŁĴŀðŁĴŀ</w>": 36448,
-  "ðŁĴŁ": 49394,
-  "ðŁĴŁ</w>": 28828,
-  "ðŁĴŃ</w>": 33848,
-  "ðŁĵ": 1497,
-  "ðŁĵ¢": 46560,
-  "ðŁĵ¢</w>": 20901,
-  "ðŁĵ£": 48841,
-  "ðŁĵ£</w>": 21282,
-  "ðŁĵ°:</w>": 28952,
-  "ðŁĵ°</w>": 14985,
-  "ðŁĵ±": 36104,
-  "ðŁĵ±</w>": 20824,
-  "ðŁĵ²</w>": 19363,
-  "ðŁĵ·": 6966,
-  "ðŁĵ·:</w>": 8294,
-  "ðŁĵ·</w>": 5551,
-  "ðŁĵ·@</w>": 40032,
-  "ðŁĵ¸": 8401,
-  "ðŁĵ¸:</w>": 10379,
-  "ðŁĵ¸</w>": 6074,
-  "ðŁĵ¸@</w>": 39660,
-  "ðŁĵ¹</w>": 49251,
-  "ðŁĵº": 21792,
-  "ðŁĵº:</w>": 29728,
-  "ðŁĵº</w>": 10450,
-  "ðŁĵ»": 32711,
-  "ðŁĵ»</w>": 15882,
-  "ðŁĵ½</w>": 45361,
-  "ðŁĵħ</w>": 21277,
-  "ðŁĵĨ</w>": 23471,
-  "ðŁĵĪ</w>": 23359,
-  "ðŁĵĬ</w>": 22244,
-  "ðŁĵĭ</w>": 46351,
-  "ðŁĵĮ</w>": 22289,
-  "ðŁĵį": 25043,
-  "ðŁĵį:</w>": 36845,
-  "ðŁĵį</w>": 8903,
-  "ðŁĵĸ": 49003,
-  "ðŁĵĸ</w>": 23043,
-  "ðŁĵļ": 25433,
-  "ðŁĵļ</w>": 15566,
-  "ðŁĵĿ": 31888,
-  "ðŁĵĿ:</w>": 48398,
-  "ðŁĵĿ</w>": 15853,
-  "ðŁĵŀ</w>": 24022,
-  "ðŁĶ": 1428,
-  "ðŁĶ¥": 3191,
-  "ðŁĶ¥#</w>": 44354,
-  "ðŁĶ¥</w>": 3016,
-  "ðŁĶ¥ðŁĶ¥": 5692,
-  "ðŁĶ¥ðŁĶ¥</w>": 11771,
-  "ðŁĶ¥ðŁĶ¥ðŁĶ¥</w>": 11004,
-  "ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥": 23408,
-  "ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥</w>": 30989,
-  "ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥</w>": 48401,
-  "ðŁĶ¥ðŁĶĹ</w>": 35130,
-  "ðŁĶª": 47078,
-  "ðŁĶª</w>": 34545,
-  "ðŁĶ«": 38116,
-  "ðŁĶ«</w>": 20583,
-  "ðŁĶ¬</w>": 44227,
-  "ðŁĶ®</w>": 38077,
-  "ðŁĶ´": 12408,
-  "ðŁĶ´</w>": 10854,
-  "ðŁĶ´âļªï¸ı": 46879,
-  "ðŁĶ´âļªï¸ı</w>": 40055,
-  "ðŁĶµ": 17531,
-  "ðŁĶµ</w>": 17193,
-  "ðŁĶµâļªï¸ı</w>": 42412,
-  "ðŁĶ¶": 42880,
-  "ðŁĶ¶</w>": 36222,
-  "ðŁĶ·</w>": 37740,
-  "ðŁĶ¸</w>": 24200,
-  "ðŁĶ¹</w>": 19995,
-  "ðŁĶº</w>": 45561,
-  "ðŁĶģ</w>": 41299,
-  "ðŁĶĬ": 32580,
-  "ðŁĶĬ</w>": 20502,
-  "ðŁĶİ</w>": 44935,
-  "ðŁĶij</w>": 35127,
-  "ðŁĶĴ</w>": 44972,
-  "ðŁĶĶ</w>": 45753,
-  "ðŁĶĹ": 47475,
-  "ðŁĶĹ</w>": 14561,
-  "ðŁĶĺ</w>": 38995,
-  "ðŁĶľ</w>": 36011,
-  "ðŁĶĿ": 44387,
-  "ðŁĶĿ</w>": 29506,
-  "ðŁķ": 7692,
-  "ðŁķº": 33958,
-  "ðŁķĬ": 42624,
-  "ðŁķĬ</w>": 37760,
-  "ðŁĸ": 6269,
-  "ðŁĸ¤": 17603,
-  "ðŁĸ¤</w>": 10860,
-  "ðŁĸ¥</w>": 47990,
-  "ðŁĹ": 7045,
-  "ðŁĹ£": 33232,
-  "ðŁĹ£</w>": 18583,
-  "ðŁĹ£ï¸ı</w>": 37476,
-  "ðŁĹĵ": 34335,
-  "ðŁĹĵ</w>": 28773,
-  "ðŁĹĵï¸ı</w>": 39847,
-  "ðŁĺ": 668,
-  "ðŁĺ¡": 21968,
-  "ðŁĺ¡</w>": 17452,
-  "ðŁĺ¡ðŁĺ¡": 37223,
-  "ðŁĺ¢": 14308,
-  "ðŁĺ¢</w>": 9925,
-  "ðŁĺ¢ðŁĺ¢": 32923,
-  "ðŁĺ¢ðŁĺ¢</w>": 47921,
-  "ðŁĺ£</w>": 32718,
-  "ðŁĺ¤": 26872,
-  "ðŁĺ¤</w>": 20740,
-  "ðŁĺ¥": 38383,
-  "ðŁĺ¥</w>": 23951,
-  "ðŁĺ¨</w>": 38080,
-  "ðŁĺ©": 9051,
-  "ðŁĺ©</w>": 9494,
-  "ðŁĺ©ðŁĺ©": 22820,
-  "ðŁĺ©ðŁĺ©</w>": 38031,
-  "ðŁĺ©ðŁĺ©ðŁĺ©</w>": 49063,
-  "ðŁĺª": 38181,
-  "ðŁĺª</w>": 22243,
-  "ðŁĺ«": 25141,
-  "ðŁĺ«</w>": 22340,
-  "ðŁĺ¬": 23704,
-  "ðŁĺ¬</w>": 14549,
-  "ðŁĺ®": 40163,
-  "ðŁĺ®</w>": 21616,
-  "ðŁĺ¯</w>": 37858,
-  "ðŁĺ°</w>": 34728,
-  "ðŁĺ±": 10938,
-  "ðŁĺ±</w>": 9055,
-  "ðŁĺ±ðŁĺ±": 22061,
-  "ðŁĺ±ðŁĺ±</w>": 40767,
-  "ðŁĺ±ðŁĺ±ðŁĺ±</w>": 40909,
-  "ðŁĺ²": 40460,
-  "ðŁĺ²</w>": 24620,
-  "ðŁĺ³": 12047,
-  "ðŁĺ³</w>": 8223,
-  "ðŁĺ³ðŁĺ³": 32592,
-  "ðŁĺ´": 23527,
-  "ðŁĺ´</w>": 16415,
-  "ðŁĺ´ðŁĺ´</w>": 49307,
-  "ðŁĺµ</w>": 39368,
-  "ðŁĺ¶</w>": 35207,
-  "ðŁĺ·": 37943,
-  "ðŁĺ·</w>": 25759,
-  "ðŁĺ¸</w>": 36912,
-  "ðŁĺ¹": 26477,
-  "ðŁĺ¹</w>": 26573,
-  "ðŁĺ¹ðŁĺ¹": 46287,
-  "ðŁĺº</w>": 40613,
-  "ðŁĺ»": 15453,
-  "ðŁĺ»</w>": 12911,
-  "ðŁĺ»ðŁĺ»": 34414,
-  "ðŁĺ¼</w>": 44245,
-  "ðŁĺ½</w>": 45156,
-  "ðŁĺĢ": 12832,
-  "ðŁĺĢ</w>": 7334,
-  "ðŁĺĢðŁĺĢ</w>": 34503,
-  "ðŁĺģ": 6967,
-  "ðŁĺģ</w>": 4821,
-  "ðŁĺģðŁĺģ": 37900,
-  "ðŁĺģðŁĺģ</w>": 19213,
-  "ðŁĺģðŁĺģðŁĺģ</w>": 29083,
-  "ðŁĺĤ": 1424,
-  "ðŁĺĤ)</w>": 42643,
-  "ðŁĺĤ.</w>": 42550,
-  "ðŁĺĤ</w>": 1558,
-  "ðŁĺĤâĿ¤ï¸ı</w>": 36412,
-  "ðŁĺĤðŁijĮ</w>": 42000,
-  "ðŁĺĤðŁĺĤ": 2286,
-  "ðŁĺĤðŁĺĤ</w>": 4112,
-  "ðŁĺĤðŁĺĤðŁĺĤ": 22233,
-  "ðŁĺĤðŁĺĤðŁĺĤ</w>": 4887,
-  "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 9936,
-  "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ</w>": 11522,
-  "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ</w>": 19295,
-  "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ</w>": 33415,
-  "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ</w>": 48973,
-  "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 28504,
-  "ðŁĺĤðŁĺį</w>": 43128,
-  "ðŁĺĤðŁĺŃ": 28965,
-  "ðŁĺĤðŁĺŃ</w>": 25802,
-  "ðŁĺĥ": 14079,
-  "ðŁĺĥ</w>": 8520,
-  "ðŁĺĥðŁĺĥ</w>": 38358,
-  "ðŁĺĦ": 12141,
-  "ðŁĺĦ</w>": 7624,
-  "ðŁĺĦðŁĺĦ</w>": 32312,
-  "ðŁĺħ": 15245,
-  "ðŁĺħ</w>": 9188,
-  "ðŁĺħðŁĺħ</w>": 39078,
-  "ðŁĺĨ": 16541,
-  "ðŁĺĨ</w>": 10943,
-  "ðŁĺĨðŁĺĨ</w>": 39503,
-  "ðŁĺĩ": 21694,
-  "ðŁĺĩ</w>": 13091,
-  "ðŁĺĪ": 14377,
-  "ðŁĺĪ</w>": 9756,
-  "ðŁĺĪðŁĺĪ</w>": 44473,
-  "ðŁĺī": 9740,
-  "ðŁĺī</w>": 4955,
-  "ðŁĺīðŁĺī</w>": 40430,
-  "ðŁĺĬ": 4692,
-  "ðŁĺĬ</w>": 3020,
-  "ðŁĺĬâĿ¤ï¸ı</w>": 43606,
-  "ðŁĺĬðŁĺĬ": 12838,
-  "ðŁĺĬðŁĺĬ</w>": 20842,
-  "ðŁĺĬðŁĺĬðŁĺĬ</w>": 28685,
-  "ðŁĺĬðŁĺĬðŁĺĬðŁĺĬ": 35519,
-  "ðŁĺĭ": 12391,
-  "ðŁĺĭ</w>": 7203,
-  "ðŁĺĭðŁĺĭ</w>": 33304,
-  "ðŁĺĮ": 19221,
-  "ðŁĺĮ</w>": 12163,
-  "ðŁĺį": 1796,
-  "ðŁĺį#</w>": 42357,
-  "ðŁĺį.</w>": 48579,
-  "ðŁĺį</w>": 1754,
-  "ðŁĺįâĿ¤</w>": 29122,
-  "ðŁĺįâĿ¤ï¸ı</w>": 21945,
-  "ðŁĺįðŁijĮ</w>": 41005,
-  "ðŁĺįðŁĴķ</w>": 35946,
-  "ðŁĺįðŁĶ¥</w>": 46648,
-  "ðŁĺįðŁĺĤ</w>": 48715,
-  "ðŁĺįðŁĺį": 3663,
-  "ðŁĺįðŁĺį</w>": 6471,
-  "ðŁĺįðŁĺįðŁĺį": 30614,
-  "ðŁĺįðŁĺįðŁĺį</w>": 7703,
-  "ðŁĺįðŁĺįðŁĺįðŁĺį": 16603,
-  "ðŁĺįðŁĺįðŁĺįðŁĺį</w>": 18925,
-  "ðŁĺįðŁĺįðŁĺįðŁĺįðŁĺį</w>": 32078,
-  "ðŁĺįðŁĺįðŁĺįðŁĺįðŁĺįðŁĺįðŁĺįðŁĺį": 48683,
-  "ðŁĺįðŁĺĺ": 29646,
-  "ðŁĺįðŁĺĺ</w>": 19849,
-  "ðŁĺįðŁĺŃ</w>": 39555,
-  "ðŁĺİ": 7426,
-  "ðŁĺİ</w>": 4345,
-  "ðŁĺİðŁĺİ</w>": 24048,
-  "ðŁĺİðŁĺİðŁĺİ</w>": 39742,
-  "ðŁĺı": 11624,
-  "ðŁĺı</w>": 6909,
-  "ðŁĺıðŁĺı</w>": 38151,
-  "ðŁĺIJ": 38586,
-  "ðŁĺIJ</w>": 19618,
-  "ðŁĺij": 32469,
-  "ðŁĺij</w>": 18937,
-  "ðŁĺĴ": 20792,
-  "ðŁĺĴ</w>": 11702,
-  "ðŁĺĵ</w>": 28733,
-  "ðŁĺĶ": 19532,
-  "ðŁĺĶ</w>": 11432,
-  "ðŁĺķ": 45741,
-  "ðŁĺķ</w>": 20602,
-  "ðŁĺĸ</w>": 35006,
-  "ðŁĺĺ": 4240,
-  "ðŁĺĺ</w>": 3352,
-  "ðŁĺĺâĿ¤</w>": 48409,
-  "ðŁĺĺâĿ¤ï¸ı</w>": 39150,
-  "ðŁĺĺðŁĺį</w>": 38176,
-  "ðŁĺĺðŁĺĺ": 15663,
-  "ðŁĺĺðŁĺĺ</w>": 10507,
-  "ðŁĺĺðŁĺĺðŁĺĺ</w>": 20208,
-  "ðŁĺĺðŁĺĺðŁĺĺðŁĺĺ</w>": 44892,
-  "ðŁĺĻ": 36201,
-  "ðŁĺĻ</w>": 29209,
-  "ðŁĺļ": 24897,
-  "ðŁĺļ</w>": 19102,
-  "ðŁĺĽ": 24550,
-  "ðŁĺĽ</w>": 15745,
-  "ðŁĺľ": 13226,
-  "ðŁĺľ</w>": 7830,
-  "ðŁĺľðŁĺľ</w>": 43065,
-  "ðŁĺĿ": 20064,
-  "ðŁĺĿ</w>": 12970,
-  "ðŁĺŀ": 40458,
-  "ðŁĺŀ</w>": 21103,
-  "ðŁĺŁ</w>": 46947,
-  "ðŁĺł</w>": 34094,
-  "ðŁĺŃ": 2962,
-  "ðŁĺŃ</w>": 3915,
-  "ðŁĺŃâĿ¤ï¸ı</w>": 29567,
-  "ðŁĺŃðŁĴķ</w>": 46306,
-  "ðŁĺŃðŁĺĤ</w>": 38505,
-  "ðŁĺŃðŁĺį</w>": 36893,
-  "ðŁĺŃðŁĺŃ": 5300,
-  "ðŁĺŃðŁĺŃ</w>": 11834,
-  "ðŁĺŃðŁĺŃðŁĺŃ": 44089,
-  "ðŁĺŃðŁĺŃðŁĺŃ</w>": 13116,
-  "ðŁĺŃðŁĺŃðŁĺŃðŁĺŃ": 19793,
-  "ðŁĺŃðŁĺŃðŁĺŃðŁĺŃ</w>": 27322,
-  "ðŁĺŃðŁĺŃðŁĺŃðŁĺŃðŁĺŃ</w>": 43366,
-  "ðŁĻ": 1478,
-  "ðŁĻĢ</w>": 43092,
-  "ðŁĻĤ": 32006,
-  "ðŁĻĤ</w>": 14860,
-  "ðŁĻĥ": 27222,
-  "ðŁĻĥ</w>": 15652,
-  "ðŁĻĦ": 20648,
-  "ðŁĻĦ</w>": 13049,
-  "ðŁĻħ": 42702,
-  "ðŁĻĨ": 30050,
-  "ðŁĻĨ</w>": 35730,
-  "ðŁĻĪ": 12661,
-  "ðŁĻĪ</w>": 9516,
-  "ðŁĻĪðŁĻĪ</w>": 41796,
-  "ðŁĻĬ": 23684,
-  "ðŁĻĬ</w>": 16636,
-  "ðŁĻĭ": 19193,
-  "ðŁĻĭ</w>": 30274,
-  "ðŁĻĮ": 4366,
-  "ðŁĻĮ</w>": 4855,
-  "ðŁĻĮðŁı»": 26756,
-  "ðŁĻĮðŁı»</w>": 15799,
-  "ðŁĻĮðŁı¼": 26584,
-  "ðŁĻĮðŁı¼</w>": 15364,
-  "ðŁĻĮðŁı½": 36660,
-  "ðŁĻĮðŁı½</w>": 22962,
-  "ðŁĻĮðŁı¾": 38023,
-  "ðŁĻĮðŁı¾</w>": 26466,
-  "ðŁĻĮðŁĻĮ": 21202,
-  "ðŁĻĮðŁĻĮ</w>": 30430,
-  "ðŁĻĮðŁĻĮðŁĻĮ</w>": 37127,
-  "ðŁĻı": 4260,
-  "ðŁĻı</w>": 5503,
-  "ðŁĻıðŁı»": 25100,
-  "ðŁĻıðŁı»</w>": 16650,
-  "ðŁĻıðŁı¼": 31163,
-  "ðŁĻıðŁı¼</w>": 18952,
-  "ðŁĻıðŁı½": 34103,
-  "ðŁĻıðŁı½</w>": 21540,
-  "ðŁĻıðŁı¾": 34277,
-  "ðŁĻıðŁı¾</w>": 21979,
-  "ðŁĻıðŁĻı": 18227,
-  "ðŁĻıðŁĻı</w>": 26510,
-  "ðŁĻıðŁĻıðŁĻı</w>": 31702,
-  "ðŁļ": 2730,
-  "ðŁļ¨": 12198,
-  "ðŁļ¨</w>": 6056,
-  "ðŁļ¨ðŁļ¨": 36487,
-  "ðŁļ¨ðŁļ¨</w>": 21440,
-  "ðŁļ¨ðŁļ¨ðŁļ¨</w>": 41515,
-  "ðŁļ©</w>": 44514,
-  "ðŁļ«</w>": 35291,
-  "ðŁļ²</w>": 37085,
-  "ðŁļ´": 30825,
-  "ðŁļ¶": 46060,
-  "ðŁļĢ": 22400,
-  "ðŁļĢ</w>": 13542,
-  "ðŁļĢðŁļĢ": 49033,
-  "ðŁļĤ</w>": 38949,
-  "ðŁļĮ</w>": 46891,
-  "ðŁļĹ": 33054,
-  "ðŁļĹ</w>": 22783,
-  "ðŁļĺ</w>": 35825,
-  "ðŁļĻ</w>": 48487,
-  "ðŁĽ": 11306,
-  "ñ": 173,
-  "ñ</w>": 429,
-  "ò": 174,
-  "ò</w>": 430,
-  "ó": 175,
-  "ó</w>": 431,
-  "ô": 176,
-  "ô</w>": 432,
-  "õ": 177,
-  "õ</w>": 433,
-  "ö": 178,
-  "ö</w>": 434,
-  "÷": 179,
-  "÷</w>": 435,
-  "ø": 180,
-  "ø</w>": 436,
-  "ù": 181,
-  "ù</w>": 437,
-  "ú": 182,
-  "ú</w>": 438,
-  "û": 183,
-  "û</w>": 439,
-  "ü": 184,
-  "ü</w>": 440,
-  "ý": 185,
-  "ý</w>": 441,
-  "þ": 186,
-  "þ</w>": 442,
-  "ÿ": 187,
-  "ÿ</w>": 443,
-  "Ā": 188,
-  "Ā</w>": 444,
-  "ā": 189,
-  "ā</w>": 445,
-  "Ă": 190,
-  "Ă</w>": 446,
-  "ă": 191,
-  "ă</w>": 447,
-  "Ą": 192,
-  "Ą</w>": 448,
-  "ą": 193,
-  "ą</w>": 449,
-  "Ć": 194,
-  "Ć</w>": 450,
-  "ć": 195,
-  "ć</w>": 451,
-  "Ĉ": 196,
-  "Ĉ</w>": 452,
-  "ĉ": 197,
-  "ĉ</w>": 453,
-  "Ċ": 198,
-  "Ċ</w>": 454,
-  "ċ": 199,
-  "ċ</w>": 455,
-  "Č": 200,
-  "Č</w>": 456,
-  "č": 201,
-  "č</w>": 457,
-  "Ď": 202,
-  "Ď</w>": 458,
-  "ď": 203,
-  "ď</w>": 459,
-  "Đ": 204,
-  "Đ</w>": 460,
-  "đ": 205,
-  "đ</w>": 461,
-  "Ē": 206,
-  "Ē</w>": 462,
-  "ē": 207,
-  "ē</w>": 463,
-  "Ĕ": 208,
-  "Ĕ</w>": 464,
-  "ĕ": 209,
-  "ĕ</w>": 465,
-  "Ė": 210,
-  "Ė</w>": 466,
-  "ė": 211,
-  "ė</w>": 467,
-  "Ę": 212,
-  "Ę</w>": 468,
-  "ę": 213,
-  "ę</w>": 469,
-  "Ě": 214,
-  "Ě</w>": 470,
-  "ě": 215,
-  "ě</w>": 471,
-  "Ĝ": 216,
-  "Ĝ</w>": 472,
-  "ĝ": 217,
-  "ĝ</w>": 473,
-  "Ğ": 218,
-  "Ğ</w>": 474,
-  "ğ": 219,
-  "ğ</w>": 475,
-  "Ġ": 220,
-  "Ġ</w>": 476,
-  "ġ": 221,
-  "ġ</w>": 477,
-  "Ģ": 222,
-  "Ģ</w>": 478,
-  "Ģï¸ı": 9668,
-  "Ģï¸ı</w>": 5511,
-  "ģ": 223,
-  "ģ</w>": 479,
-  "ģà¸": 15016,
-  "Ĥ": 224,
-  "Ĥ</w>": 480,
-  "Ĥâĸ": 29036,
-  "ĤâĸĤâĸ": 30832,
-  "ĥ": 225,
-  "ĥ</w>": 481,
-  "Ħ": 226,
-  "Ħ</w>": 482,
-  "Ħà¸": 20537,
-  "Ħë": 34462,
-  "Ħëĭ": 25170,
-  "ħ": 227,
-  "ħ</w>": 483,
-  "ħï¸ı</w>": 33950,
-  "Ĩ": 228,
-  "Ĩ</w>": 484,
-  "ĩ": 229,
-  "ĩ</w>": 485,
-  "Ī": 230,
-  "Ī</w>": 486,
-  "ī": 231,
-  "ī</w>": 487,
-  "īï¸ı</w>": 37463,
-  "Ĭ": 232,
-  "Ĭ</w>": 488,
-  "Ĭãģ": 30294,
-  "ĭ": 233,
-  "ĭ</w>": 489,
-  "ĭãģ": 36218,
-  "ĭãĤ": 45737,
-  "Į": 234,
-  "Į</w>": 490,
-  "ĮãĤĬãģ": 45969,
-  "ĮãĤĬãģŁãģĦ</w>": 47021,
-  "Įë": 17003,
-  "į": 235,
-  "į</w>": 491,
-  "İ": 236,
-  "İ</w>": 492,
-  "ı": 237,
-  "ı</w>": 493,
-  "IJ": 238,
-  "IJ</w>": 494,
-  "ij": 239,
-  "ij</w>": 495,
-  "Ĵ": 240,
-  "Ĵ</w>": 496,
-  "ĵ": 241,
-  "ĵ</w>": 497,
-  "Ķ": 242,
-  "Ķ</w>": 498,
-  "Ķë": 37978,
-  "Ķï¸ı": 24395,
-  "Ķï¸ı</w>": 7443,
-  "ķ": 243,
-  "ķ</w>": 499,
-  "ķãĤ": 26609,
-  "ķï¸ı</w>": 44853,
-  "ĸ": 244,
-  "ĸ</w>": 500,
-  "ĸï¸ı</w>": 28877,
-  "Ĺ": 245,
-  "Ĺ</w>": 501,
-  "ĺ": 246,
-  "ĺ</w>": 502,
-  "Ļ": 247,
-  "Ļ</w>": 503,
-  "ļ": 248,
-  "ļ</w>": 504,
-  "Ľ": 249,
-  "Ľ</w>": 505,
-  "ľ": 250,
-  "ľ</w>": 506,
-  "ľë": 39810,
-  "Ŀ": 251,
-  "Ŀ</w>": 507,
-  "ŀ": 252,
-  "ŀ</w>": 508,
-  "Ł": 253,
-  "Ł</w>": 509,
-  "ŁãģĦ</w>": 46023,
-  "ł": 254,
-  "ł</w>": 510,
-  "łï¸ı": 27899,
-  "łï¸ı</w>": 12715,
-  "łĪ": 43364,
-  "Ń": 255,
-  "Ń</w>": 511
-}
diff --git a/MacLab-Era3D-512-6view/unet/config.json b/MacLab-Era3D-512-6view/unet/config.json
deleted file mode 100644
index 6e7e41fa961d3c5eb42b30b525664e3464a62528..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/unet/config.json
+++ /dev/null
@@ -1,95 +0,0 @@
-{
-  "_class_name": "UNetMV2DConditionModel",
-  "_diffusers_version": "0.26.0.dev0",
-  "_name_or_path": "../checkpoint_backup/output/unit-unclip-512-6view-randomele-self+row-8w-selfcd-rowmv-2block-linear-depthfilter-step-removewh-bs256-three/checkpoint-40000/unet_ema",
-  "act_fn": "silu",
-  "addition_channels": [
-    1280,
-    1280,
-    1280
-  ],
-  "addition_downsample": false,
-  "addition_embed_type": null,
-  "addition_embed_type_num_heads": 64,
-  "addition_time_embed_dim": null,
-  "attention_head_dim": [
-    5,
-    10,
-    20,
-    20
-  ],
-  "block_out_channels": [
-    320,
-    640,
-    1280,
-    1280
-  ],
-  "cd_attention_last": false,
-  "cd_attention_mid": false,
-  "center_input_sample": false,
-  "class_embed_type": "projection",
-  "class_embeddings_concat": false,
-  "conv_in_kernel": 3,
-  "conv_out_kernel": 3,
-  "cross_attention_dim": 1024,
-  "cross_attention_norm": null,
-  "decay": 0.9999,
-  "down_block_types": [
-    "CrossAttnDownBlockMV2D",
-    "CrossAttnDownBlockMV2D",
-    "CrossAttnDownBlockMV2D",
-    "DownBlock2D"
-  ],
-  "downsample_padding": 1,
-  "dual_cross_attention": false,
-  "encoder_hid_dim": null,
-  "encoder_hid_dim_type": null,
-  "flip_sin_to_cos": true,
-  "freq_shift": 0,
-  "in_channels": 8,
-  "inv_gamma": 1.0,
-  "layers_per_block": 2,
-  "mid_block_only_cross_attention": null,
-  "mid_block_scale_factor": 1,
-  "mid_block_type": "UNetMidBlockMV2DCrossAttn",
-  "min_decay": 0.0,
-  "multiview_attention": true,
-  "mvcd_attention": true,
-  "norm_eps": 1e-05,
-  "norm_num_groups": 32,
-  "num_attention_heads": null,
-  "num_class_embeds": null,
-  "num_regress_blocks": 3,
-  "num_views": 6,
-  "only_cross_attention": false,
-  "optimization_step": 40000,
-  "out_channels": 4,
-  "power": 0.6666666666666666,
-  "projection_camera_embeddings_input_dim": 4,
-  "projection_class_embeddings_input_dim": 2048,
-  "regress_elevation": true,
-  "regress_focal_length": true,
-  "resnet_out_scale_factor": 1.0,
-  "resnet_skip_time_act": false,
-  "resnet_time_scale_shift": "default",
-  "sample_size": 64,
-  "selfattn_block": "self_rowwise",
-  "sparse_mv_attention": true,
-  "time_cond_proj_dim": null,
-  "time_embedding_act_fn": null,
-  "time_embedding_dim": null,
-  "time_embedding_type": "positional",
-  "timestep_post_act": null,
-  "transformer_layers_per_block": 1,
-  "up_block_types": [
-    "UpBlock2D",
-    "CrossAttnUpBlockMV2D",
-    "CrossAttnUpBlockMV2D",
-    "CrossAttnUpBlockMV2D"
-  ],
-  "upcast_attention": true,
-  "update_after_step": 0,
-  "use_dino": false,
-  "use_ema_warmup": false,
-  "use_linear_projection": true
-}
diff --git a/MacLab-Era3D-512-6view/unet/diffusion_pytorch_model.safetensors b/MacLab-Era3D-512-6view/unet/diffusion_pytorch_model.safetensors
deleted file mode 100644
index ab37e96b4ce7c7a741343f9a4379efb250a2e201..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/unet/diffusion_pytorch_model.safetensors
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:af12a68fdbfa51bb857422b42bd5ac5101467e22e5e58ea6d8b06dd9426c93af
-size 1895432652
diff --git a/MacLab-Era3D-512-6view/vae/config.json b/MacLab-Era3D-512-6view/vae/config.json
deleted file mode 100644
index 5468f86dd1d202e7e07031092abc1b0be4cc6c3a..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/vae/config.json
+++ /dev/null
@@ -1,32 +0,0 @@
-{
-  "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.26.0.dev0",
-  "_name_or_path": "stabilityai/stable-diffusion-2-1-unclip",
-  "act_fn": "silu",
-  "block_out_channels": [
-    128,
-    256,
-    512,
-    512
-  ],
-  "down_block_types": [
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D"
-  ],
-  "force_upcast": true,
-  "in_channels": 3,
-  "latent_channels": 4,
-  "layers_per_block": 2,
-  "norm_num_groups": 32,
-  "out_channels": 3,
-  "sample_size": 768,
-  "scaling_factor": 0.18215,
-  "up_block_types": [
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D"
-  ]
-}
diff --git a/MacLab-Era3D-512-6view/vae/diffusion_pytorch_model.safetensors b/MacLab-Era3D-512-6view/vae/diffusion_pytorch_model.safetensors
deleted file mode 100644
index 9a75e3c8e7cf4387be816cdebb751fbd5fc4e1e2..0000000000000000000000000000000000000000
--- a/MacLab-Era3D-512-6view/vae/diffusion_pytorch_model.safetensors
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3e4c08995484ee61270175e9e7a072b66a6e4eeb5f0c266667fe1f45b90daf9a
-size 167335342
diff --git a/assets/advanced/img1.png b/assets/advanced/img1.png
deleted file mode 100644
index 1f7911244c7023ea995bc8a2e422a1211825edb3..0000000000000000000000000000000000000000
--- a/assets/advanced/img1.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0b6ee0af34eb5fa6bce208003dbad31301303572172346e978a6069fc45c67c8
-size 1245800
diff --git a/assets/advanced/img2.png b/assets/advanced/img2.png
deleted file mode 100644
index 3f23cc4bce7ba5297b9c8b7e8ea15291694f6179..0000000000000000000000000000000000000000
--- a/assets/advanced/img2.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:46b83c749171ee3105795ec7cc35ce4f37fcb2f18e1578ab8f7b41a5972ca4ed
-size 1216896
diff --git a/assets/advanced/img3.png b/assets/advanced/img3.png
deleted file mode 100644
index 777a8759077acc633f588c5471cb23609edc7c11..0000000000000000000000000000000000000000
--- a/assets/advanced/img3.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:aea4f2b59581dc012b353ed405e15bc286d24c6211e54748fbc6692be6203479
-size 1529217
diff --git a/assets/advanced/img4.png b/assets/advanced/img4.png
deleted file mode 100644
index 4acbd2b8d7169d2fa2d314fdc0aab2d8f3f08d02..0000000000000000000000000000000000000000
--- a/assets/advanced/img4.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:34235863cf886241b37129a4fd3e7d24788ecef3ef29c2038211f1ddfe0cad28
-size 1265877
diff --git a/assets/advanced/img5.png b/assets/advanced/img5.png
deleted file mode 100644
index 47da1d837639dfa4dda012b1161c392c0f3fcc56..0000000000000000000000000000000000000000
--- a/assets/advanced/img5.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8b9b107ff5712c15114cc1dcafb3e847c8035941bb7c74111a54fbc6bfce5188
-size 1410673
diff --git a/assets/advanced/img6.png b/assets/advanced/img6.png
deleted file mode 100644
index f52b4916f085a6c5b9d5b7a0653dbf974b7e01f8..0000000000000000000000000000000000000000
--- a/assets/advanced/img6.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:cdc8b4a173321f3a01ae7e167770bd3b67d8157310ed8055b2c984626e8589df
-size 1638286
diff --git a/assets/advanced/img7.png b/assets/advanced/img7.png
deleted file mode 100644
index b82ab11c0df4f9a7c02d20aeaa8afa24cf082f53..0000000000000000000000000000000000000000
--- a/assets/advanced/img7.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f399a24a822cff263cd5e310b6ef265500f0dfcdb48e92c398405b5761908446
-size 1659387
diff --git a/assets/advanced/img8.png b/assets/advanced/img8.png
deleted file mode 100644
index aa7fcbd68aa78fcfa88e338977fa7adf202f570c..0000000000000000000000000000000000000000
--- a/assets/advanced/img8.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4541dbd422a4994b4219e2c89db08f514b406fb3f8d4c45084faeb13d7d6482e
-size 1744096
diff --git a/assets/basic/img1.png b/assets/basic/img1.png
deleted file mode 100644
index 804cee064b31da9b2b92ed199af017015c5afb46..0000000000000000000000000000000000000000
--- a/assets/basic/img1.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:dd92c705faecc52785e9e114762747cfdc748abd770f7967ca3a97859abbc873
-size 1396077
diff --git a/assets/basic/img2.png b/assets/basic/img2.png
deleted file mode 100644
index 5c9a96ac1771bce3865236e98334bd9463277730..0000000000000000000000000000000000000000
--- a/assets/basic/img2.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0a5d29c163ce3e6e8ee87c128e606b34ee911c2ff51ba112b0b801bf37f32c0c
-size 1623064
diff --git a/assets/basic/img3.png b/assets/basic/img3.png
deleted file mode 100644
index 5afb58fd6baa0bc9602e194a69a961eea3cf8971..0000000000000000000000000000000000000000
--- a/assets/basic/img3.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4401231e8f735e12ff6741c4b5da2ce71e8bc9174b9c1f84770e04fad9d7cd63
-size 1393472
diff --git a/assets/basic/img4.png b/assets/basic/img4.png
deleted file mode 100644
index 1f89f6e8e20a45dbf1baa9eff522cd8830463e88..0000000000000000000000000000000000000000
--- a/assets/basic/img4.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ca831c0265505b62a316fe5950b84dcfd83cc3a4ff92d721ea42350a01c28862
-size 1400800
diff --git a/assets/basic/img5.png b/assets/basic/img5.png
deleted file mode 100644
index 5fc0222bf6854888a6fe15e2e27a10823faa1027..0000000000000000000000000000000000000000
--- a/assets/basic/img5.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:81ba340c301fd82a8fe41efd9f877d052b0999b2a62f46a6bc3250528f35bf01
-size 1940413
diff --git a/assets/basic/img6.png b/assets/basic/img6.png
deleted file mode 100644
index b6cf5938e5f4345b389d004ebd419cb59828c153..0000000000000000000000000000000000000000
--- a/assets/basic/img6.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:928cc4876a697603597b5d9273e607cea6bd8c2d08b5c9f70e5b8e354309f845
-size 1938713
diff --git a/assets/basic/img7.png b/assets/basic/img7.png
deleted file mode 100644
index 5268d9ef4cc7d2f3daadb4c997f65aa489d8900d..0000000000000000000000000000000000000000
--- a/assets/basic/img7.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8bfcad7363ff53c742fe13a49ecbbbcaea1142dc138a6a8020c21bcbfbce30b8
-size 1882770
diff --git a/assets/basic/img_temp2.png b/assets/basic/img_temp2.png
deleted file mode 100644
index e041a0f72c4f6ac7d68a97554fa9a4cf78bb160b..0000000000000000000000000000000000000000
--- a/assets/basic/img_temp2.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8c1a083c1a06637ab7e871270e7b755082db9562ae67219533e06ed5e2b0831c
-size 1776500
diff --git a/configs/inpaint.yaml b/configs/inpaint.yaml
deleted file mode 100644
index f7f3d79191b8a5a610a1599e9afce07d0e144317..0000000000000000000000000000000000000000
--- a/configs/inpaint.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-dataset:
-  num_views_low_res: 8
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  resolution: 256
-
-train:
-  log_dir: sd_upsampler
-  lr: 0.0002
-
-test:
-  fuse_type: single # multidiff
-
-model:
-  guidance_scale: 9.
-  diff_timestep: 1
-  low_res_noise_level: 30 # from the default SD upsampler setting
-  model_type: upsample
-  upsample_model:
-    model_id: stabilityai/stable-diffusion-x4-upscaler
-    num_coarse_cp_blocks: 5
-    lora_layers: True
-    homo_cp_attn: True
-    diff_timestep: 75
-  base_model:
-    diff_timestep: 50
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: True
-    
diff --git a/configs/sd_upsampler.yaml b/configs/sd_upsampler.yaml
deleted file mode 100644
index b1450626f22964ce649abfef7d3de293a86d7a4f..0000000000000000000000000000000000000000
--- a/configs/sd_upsampler.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-dataset:
-  name: mp3d
-  num_views_low_res: 8
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  resolution: 128
-
-train:
-  log_dir: sd_upsampler
-  lr: 0.0002
-
-test:
-  fuse_type: single # multidiff
-
-model:
-  guidance_scale: 9.
-  diff_timestep: 1
-  low_res_noise_level: 20 # from the default SD upsampler setting
-  model_type: upsample
-  upsample_model:
-    model_id: stabilityai/stable-diffusion-x4-upscaler
-    num_coarse_cp_blocks: 5
-    lora_layers: True
-    homo_cp_attn: True
-    diff_timestep: 75
-  base_model:
-    diff_timestep: 50
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: True
-    
diff --git a/configs/sd_upsampler_temporal.yaml b/configs/sd_upsampler_temporal.yaml
deleted file mode 100644
index eed9fda9f7ce1e48f0af125857d248edff5cffe3..0000000000000000000000000000000000000000
--- a/configs/sd_upsampler_temporal.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-dataset:
-  name: mp3d
-  num_views_low_res: 8
-  num_views_high_res: 6
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  rot_high_res: 45
-  resolution: 256
-  resolution_high_res: 1024
-  crop_size_high_res: 384
-
-train:
-  log_dir: sd_upsampler
-  lr: 0.0001
-
-test:
-  fuse_type: single # multidiff
-
-model:
-  guidance_scale: 9.
-  diff_timestep: 1
-  low_res_noise_level: 20 # from the default SD upsampler setting
-  model_type: upsample
-  upsample_model:
-    model_id: stabilityai/stable-diffusion-x4-upscaler
-    num_coarse_cp_blocks: 5
-    lora_layers: False
-    homo_cp_attn: True
-    diff_timestep: 75
-    multiframe_fuse: True
-  base_model:
-    diff_timestep: 50
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: True
-    
diff --git a/configs/sd_upsampler_train.yaml b/configs/sd_upsampler_train.yaml
deleted file mode 100644
index fa374f7ab6e659e937e92c973f1d8bc9f71e798c..0000000000000000000000000000000000000000
--- a/configs/sd_upsampler_train.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-dataset:
-  name: mp3d
-  num_views_low_res: 8
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  rot_high_res: 10
-  resolution: 256
-  resolution_high_res: 1024
-  crop_size_high_res: 512
-
-train:
-  log_dir: sd_upsampler
-  lr: 0.000005
-
-test:
-  fuse_type: single # multidiff
-
-model:
-  guidance_scale: 9.
-  diff_timestep: 1
-  low_res_noise_level: 20 # from the default SD upsampler setting
-  model_type: upsample
-  upsample_model:
-    model_id: stabilityai/stable-diffusion-x4-upscaler
-    num_coarse_cp_blocks: 5
-    lora_layers: False
-    homo_cp_attn: True
-    diff_timestep: 75
-    multiframe_fuse: False
-  base_model:
-    diff_timestep: 50
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: True
-    
diff --git a/configs/test_unclip-512-6view.yaml b/configs/test_unclip-512-6view.yaml
deleted file mode 100644
index 4b0e31cd0aada7adfd9c36ece4e72e3385d3f091..0000000000000000000000000000000000000000
--- a/configs/test_unclip-512-6view.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-pretrained_model_name_or_path: 'pengHTYX/MacLab-Era3D-512-6view'
-revision: null
-
-num_views: 6
-validation_dataset:
-  prompt_embeds_path: mvdiffusion/data/fixed_prompt_embeds_6view
-  root_dir: 'examples'
-  num_views: ${num_views}
-  bg_color: 'white'
-  img_wh:  [512, 512]
-  num_validation_samples: 1000
-  crop_size: 420
-
-pred_type: 'joint'
-save_dir: 'mv_res'
-save_mode: 'rgba' # 'concat', 'rgba', 'rgb'
-seed: 42
-validation_batch_size: 1
-dataloader_num_workers: 1 
-local_rank: -1
-
-pipe_kwargs:
-  num_views: ${num_views}
-
-validation_guidance_scales: [3.0]
-pipe_validation_kwargs:
-  num_inference_steps: 40
-  eta: 1.0
-
-validation_grid_nrow: ${num_views}
-regress_elevation: true
-regress_focal_length: true
-unet_from_pretrained_kwargs:
-  unclip: true
-  sdxl: false
-  num_views: ${num_views}
-  sample_size: 64 
-  zero_init_conv_in: false # modify
-  
-  regress_elevation: ${regress_elevation}
-  regress_focal_length: ${regress_focal_length}
-  camera_embedding_type: e_de_da_sincos
-  projection_camera_embeddings_input_dim: 4 # 2 for elevation and 6 for focal_length  
-  zero_init_camera_projection: false
-  num_regress_blocks: 3
-  
-  cd_attention_last: false
-  cd_attention_mid: false
-  multiview_attention: true
-  sparse_mv_attention: true
-  selfattn_block: self_rowwise
-  mvcd_attention: true
-
-  use_dino: false
-
-enable_xformers_memory_efficient_attention: true
\ No newline at end of file
diff --git a/configs/train.yaml b/configs/train.yaml
deleted file mode 100644
index 277a88dccc4487ce23da6c9ddcce8fa599411e49..0000000000000000000000000000000000000000
--- a/configs/train.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-dataset:
-  name: 'mp3d'
-  num_views_low_res: 1
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  rot_high_res: 10
-  resolution: 512
-  resolution_high_res: 1024
-  crop_size_high_res: 256
-
-train:
-  log_dir: high_res_upsample
-  lr: 0.0002
-
-test:
-  fuse_type: diffcollage # multidiff
-
-model:
-  model_id: stabilityai/stable-diffusion-2-base
-  guidance_scale: 9.
-  model_type: base
-  low_res_noise_level: 20
-  upsample_model:
-    num_coarse_cp_blocks: 5
-    lora_layers: True
-    homo_cp_attn: True
-    diff_timestep: 75
-  base_model:
-    model_id: stabilityai/stable-diffusion-2-base
-    diff_timestep: 50
-    lora_layers: False
-    single_image_ft: True
-    
diff --git a/configs/train_floyd.yaml b/configs/train_floyd.yaml
deleted file mode 100644
index 3629d5028039e4eaed992d170dab8a96d3502867..0000000000000000000000000000000000000000
--- a/configs/train_floyd.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-dataset:
-  name: 'mp3d'
-  num_views_low_res: 12
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 30
-  rot_high_res: 10
-  resolution: 256
-  crop_size_high_res: 256
-train:
-  log_dir: high_res_upsample
-  lr: 0.0001
-
-test:
-  fuse_type: diffcollage # multidiff
-
-model:
-  guidance_scale: 9.
-  model_type: base
-  low_res_noise_level: 20
-  upsample_model:
-    num_coarse_cp_blocks: 5
-    lora_layers: True
-    homo_cp_attn: True
-    diff_timestep: 75
-  base_model:
-    model_id: DeepFloyd/IF-I-XL-v1.0
-    lora_layers: False
-    single_image_ft: False
-    diff_timestep: 50
-    
diff --git a/configs/train_lora.yaml b/configs/train_lora.yaml
deleted file mode 100644
index 92690b5ddc29897a5847c8dc2c6599b0d3266785..0000000000000000000000000000000000000000
--- a/configs/train_lora.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-dataset:
-  num_views_low_res: 1
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  resolution: 256
-
-train:
-  log_dir: high_res_upsample
-  lr: 0.0002
-
-test:
-  fuse_type: diffcollage # multidiff
-
-model:
-  model_id: stabilityai/stable-diffusion-2-base
-  guidance_scale: 9.
-  diff_timestep: 50
-  model_type: base
-  upsample_model:
-    num_coarse_cp_blocks: 5
-    lora_layers: True
-    homo_cp_attn: True
-  base_model:
-    lora_layers: True
-    single_image_ft: True
-    
diff --git a/configs/train_mv.yaml b/configs/train_mv.yaml
deleted file mode 100644
index c9e2c29c0b531f5ccefdd06af815fd60280bbc75..0000000000000000000000000000000000000000
--- a/configs/train_mv.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-dataset:
-  name: 'mp3d'
-  num_views_low_res: 8
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  rot_high_res: 10
-  resolution: 512
-  resolution_high_res: 1024
-  crop_size_high_res: 256
-train:
-  log_dir: high_res_upsample
-  lr: 0.0001
-
-test:
-  fuse_type: diffcollage # multidiff
-
-model:
-  guidance_scale: 9.
-  model_type: base
-  low_res_noise_level: 20
-  upsample_model:
-    num_coarse_cp_blocks: 5
-    lora_layers: True
-    homo_cp_attn: True
-    diff_timestep: 75
-  base_model:
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: False
-    single_image_ft: False
-    diff_timestep: 50
-    
diff --git a/configs/train_mv_256.yaml b/configs/train_mv_256.yaml
deleted file mode 100644
index 50eff584b3527bb5a2b2214282039a3343a8a202..0000000000000000000000000000000000000000
--- a/configs/train_mv_256.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-dataset:
-  name: 'mp3d'
-  num_views_low_res: 2
-  num_views_high_res: 1
-  image_root_dir: training/mp3d_skybox
-  fov: 90
-  rot_low_res: 45
-  rot_high_res: 10
-  resolution: 256
-  resolution_high_res: 1024
-  crop_size_high_res: 256
-train:
-  log_dir: high_res_upsample
-  lr: 0.00001
-
-test:
-  fuse_type: diffcollage # multidiff
-
-model:
-  guidance_scale: 9.
-  model_type: base
-  low_res_noise_level: 20
-  upsample_model:
-    num_coarse_cp_blocks: 5
-    lora_layers: True
-    homo_cp_attn: True
-    diff_timestep: 75
-  base_model:
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: False
-    single_image_ft: False
-    diff_timestep: 50
-    
diff --git a/configs/upsample_gen_single.yaml b/configs/upsample_gen_single.yaml
deleted file mode 100644
index ccad651c4d12f6e9f4a3cb812c94503ad814871b..0000000000000000000000000000000000000000
--- a/configs/upsample_gen_single.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-dataset:
-  name: generation
-  num_views_low_res: 8
-  num_views_high_res: 8
-  image_root_dir: logs/tb_logs/test_mp3d_base_mv_all=1/version_1/images
-  resume_dir: logs/tb_logs/test_mp3d_upsample_seperate=2/version_0/images
-  fov: 90
-  rot_low_res: 45
-  rot_high_res: 45
-  resolution: 256
-  resolution_high_res: 1024
-  crop_size_high_res: 1024
-
-train:
-  log_dir: sd_upsampler
-  lr: 0.0002
-
-test:
-  fuse_type: single # multidiff
-
-model:
-  guidance_scale: 9.
-  diff_timestep: 1
-  low_res_noise_level: 50 # from the default SD upsampler setting
-  model_type: upsample
-  upsample_model:
-    model_id: stabilityai/stable-diffusion-x4-upscaler
-    num_coarse_cp_blocks: 5
-    lora_layers: False
-    homo_cp_attn: True
-    diff_timestep: 75
-    multiframe_fuse: False
-  base_model:
-    diff_timestep: 30
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: True
-    
diff --git a/configs/upsample_generation.yaml b/configs/upsample_generation.yaml
deleted file mode 100644
index 5f536e60994646fd3c4721973e197648d06f25f5..0000000000000000000000000000000000000000
--- a/configs/upsample_generation.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-dataset:
-  name: generation
-  num_views_low_res: 8
-  num_views_high_res: 8
-  image_root_dir: logs/tb_logs/test_mp3d_base_mv_all=1/version_1/images
-  resume_dir: logs/tb_logs/test_mp3d_upsample_all=7/version_0/images
-  fov: 90
-  rot_low_res: 45
-  rot_high_res: 45
-  resolution: 256
-  resolution_high_res: 1024
-  crop_size_high_res: 1024
-
-train:
-  log_dir: sd_upsampler
-  lr: 0.0002
-
-test:
-  fuse_type: single # multidiff
-
-model:
-  guidance_scale: 9.
-  diff_timestep: 1
-  low_res_noise_level: 1 # from the default SD upsampler setting
-  model_type: upsample
-  upsample_model:
-    model_id: stabilityai/stable-diffusion-x4-upscaler
-    num_coarse_cp_blocks: 5
-    lora_layers: False
-    homo_cp_attn: True
-    diff_timestep: 75
-    multiframe_fuse: True
-  base_model:
-    diff_timestep: 30
-    model_id: stabilityai/stable-diffusion-2-base
-    lora_layers: True
-    
diff --git a/examples/3968940-PH.png b/examples/3968940-PH.png
deleted file mode 100644
index e093b25a5d2bd74f97dbc01a4546dac672ab7193..0000000000000000000000000000000000000000
Binary files a/examples/3968940-PH.png and /dev/null differ
diff --git a/examples/A_beautiful_cyborg_with_brown_hair_rgba.png b/examples/A_beautiful_cyborg_with_brown_hair_rgba.png
deleted file mode 100644
index a1853dac3dd4f22af9a1dde7d31c1dc4ba78c22f..0000000000000000000000000000000000000000
--- a/examples/A_beautiful_cyborg_with_brown_hair_rgba.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3dd8d815ba5bc0a7e17587f8a4d2cec64d196ba5b5f44fff3fed13e1783de366
-size 1134157
diff --git a/examples/A_bulldog_with_a_black_pirate_hat_rgba.png b/examples/A_bulldog_with_a_black_pirate_hat_rgba.png
deleted file mode 100644
index 54963f21f70ee33e6f47ac435246bc772c673c21..0000000000000000000000000000000000000000
Binary files a/examples/A_bulldog_with_a_black_pirate_hat_rgba.png and /dev/null differ
diff --git a/examples/A_pig_wearing_a_backpack_rgba.png b/examples/A_pig_wearing_a_backpack_rgba.png
deleted file mode 100644
index 5b46331ed8c2c52de30a6e35646be95a475f39d1..0000000000000000000000000000000000000000
Binary files a/examples/A_pig_wearing_a_backpack_rgba.png and /dev/null differ
diff --git a/examples/Elon-Musk.jpg b/examples/Elon-Musk.jpg
deleted file mode 100644
index 58e2d6ae6c94c8fb00c625dfeb69b776732f662b..0000000000000000000000000000000000000000
Binary files a/examples/Elon-Musk.jpg and /dev/null differ
diff --git a/examples/Ghost_eating_burger_rgba.png b/examples/Ghost_eating_burger_rgba.png
deleted file mode 100644
index a769f53be7780ffeaf3994222d0be358ba7bb283..0000000000000000000000000000000000000000
Binary files a/examples/Ghost_eating_burger_rgba.png and /dev/null differ
diff --git a/examples/cleanrot_armor_rgba.png b/examples/cleanrot_armor_rgba.png
deleted file mode 100644
index 691cb1a13cd40bffa6b78a84cc6700e430f02469..0000000000000000000000000000000000000000
Binary files a/examples/cleanrot_armor_rgba.png and /dev/null differ
diff --git a/examples/cute_demon_combination_angel_figure_rgba.png b/examples/cute_demon_combination_angel_figure_rgba.png
deleted file mode 100644
index 38ff0f8be6dfb8ee05b9e2933bf6c7631ccbc132..0000000000000000000000000000000000000000
Binary files a/examples/cute_demon_combination_angel_figure_rgba.png and /dev/null differ
diff --git a/examples/dslr.png b/examples/dslr.png
deleted file mode 100644
index dc8664d31174334ecb44c1906e95d968c74899c2..0000000000000000000000000000000000000000
Binary files a/examples/dslr.png and /dev/null differ
diff --git a/examples/duola.png b/examples/duola.png
deleted file mode 100644
index bd93331c4e9b3b7923d0e8a311e1d3f4e5a541c4..0000000000000000000000000000000000000000
Binary files a/examples/duola.png and /dev/null differ
diff --git a/examples/k2.png b/examples/k2.png
deleted file mode 100644
index 1ad406a45c88170b928c618692b48f7e75049497..0000000000000000000000000000000000000000
Binary files a/examples/k2.png and /dev/null differ
diff --git a/examples/kind_cartoon_lion_in_costume_of_astronaut_rgba.png b/examples/kind_cartoon_lion_in_costume_of_astronaut_rgba.png
deleted file mode 100644
index 5790c0b97e152c8e0c0707ff29f8c8910a95e0d5..0000000000000000000000000000000000000000
Binary files a/examples/kind_cartoon_lion_in_costume_of_astronaut_rgba.png and /dev/null differ
diff --git a/examples/kunkun.png b/examples/kunkun.png
deleted file mode 100644
index 806c188eccfe9b2ad787d83ec979eee09a813127..0000000000000000000000000000000000000000
Binary files a/examples/kunkun.png and /dev/null differ
diff --git a/examples/lantern.png b/examples/lantern.png
deleted file mode 100644
index dcc48c9ee1f53f7c50203b97da196ea6b0d6f424..0000000000000000000000000000000000000000
Binary files a/examples/lantern.png and /dev/null differ
diff --git a/examples/lewd_statue_of_an_angel_texting_on_a_cell_phone_rgba.png b/examples/lewd_statue_of_an_angel_texting_on_a_cell_phone_rgba.png
deleted file mode 100644
index d663d9c7014d75d21d47ad5ff43136f7d3042bca..0000000000000000000000000000000000000000
Binary files a/examples/lewd_statue_of_an_angel_texting_on_a_cell_phone_rgba.png and /dev/null differ
diff --git a/examples/monkey.png b/examples/monkey.png
deleted file mode 100644
index 10ddf355fb09dad4149c9eafaf071c5e145dc25c..0000000000000000000000000000000000000000
Binary files a/examples/monkey.png and /dev/null differ
diff --git a/examples/yann_kecun.jpg b/examples/yann_kecun.jpg
deleted file mode 100644
index e739231b635e6f11e30717c445008096ef5caf5b..0000000000000000000000000000000000000000
Binary files a/examples/yann_kecun.jpg and /dev/null differ
diff --git a/lib/Equirec2Perspec.py b/lib/Equirec2Perspec.py
deleted file mode 100644
index d0fdfbb905c3383fc31bd38fd10aec7ca119a236..0000000000000000000000000000000000000000
--- a/lib/Equirec2Perspec.py
+++ /dev/null
@@ -1,69 +0,0 @@
-import os
-import sys
-import cv2
-import numpy as np
-
-class Equirectangular:
-    def __init__(self, img_name, text2light=False):
-        if isinstance(img_name, str):
-            self._img = cv2.imread(img_name, cv2.IMREAD_COLOR)
-        else:
-            self._img = img_name
-        if text2light:
-            self._img = np.roll(self._img, -60, axis=0)
-        
-        [self._height, self._width, _] = self._img.shape
-    
-
-    def GetPerspective(self, FOV, THETA, PHI, height, width):
-        #
-        # THETA is left/right angle, PHI is up/down angle, both in degree
-        #
-
-        equ_h = self._height
-        equ_w = self._width
-        equ_cx = (equ_w - 1) / 2.0
-        equ_cy = (equ_h - 1) / 2.0
-
-        wFOV = FOV
-        hFOV = float(height) / width * wFOV
-
-        w_len = np.tan(np.radians(wFOV / 2.0))
-        h_len = np.tan(np.radians(hFOV / 2.0))
-
-
-        x_map = np.ones([height, width], np.float32)
-        y_map = np.tile(np.linspace(-w_len, w_len,width), [height,1])
-        z_map = -np.tile(np.linspace(-h_len, h_len,height), [width,1]).T
-
-        D = np.sqrt(x_map**2 + y_map**2 + z_map**2)
-        xyz = np.stack((x_map,y_map,z_map),axis=2)/np.repeat(D[:, :, np.newaxis], 3, axis=2)
-        
-        y_axis = np.array([0.0, 1.0, 0.0], np.float32)
-        z_axis = np.array([0.0, 0.0, 1.0], np.float32)
-        [R1, _] = cv2.Rodrigues(z_axis * np.radians(THETA))
-        [R2, _] = cv2.Rodrigues(np.dot(R1, y_axis) * np.radians(-PHI))
-
-        xyz = xyz.reshape([height * width, 3]).T
-        xyz = np.dot(R1, xyz)
-        xyz = np.dot(R2, xyz).T
-        lat = np.arcsin(xyz[:, 2])
-        lon = np.arctan2(xyz[:, 1] , xyz[:, 0])
-
-        lon = lon.reshape([height, width]) / np.pi * 180
-        lat = -lat.reshape([height, width]) / np.pi * 180
-
-        lon = lon / 180 * equ_cx + equ_cx
-        lat = lat / 90  * equ_cy + equ_cy
-
-        
-            
-        persp = cv2.remap(self._img, lon.astype(np.float32), lat.astype(np.float32), cv2.INTER_CUBIC, borderMode=cv2.BORDER_WRAP)
-        return persp
-        
-
-
-
-
-
-
diff --git a/lib/Perspec2Equirec.py b/lib/Perspec2Equirec.py
deleted file mode 100644
index 30ce97c6b1b78e5d3ab26c11e5726cea7cd84e44..0000000000000000000000000000000000000000
--- a/lib/Perspec2Equirec.py
+++ /dev/null
@@ -1,75 +0,0 @@
-import os
-import sys
-import cv2
-import numpy as np
-
-class Perspective:
-    def __init__(self, img_name , FOV, THETA, PHI ):
-        if isinstance(img_name, str):
-            self._img = cv2.imread(img_name, cv2.IMREAD_COLOR)
-        else:
-            self._img = img_name
-        [self._height, self._width, _] = self._img.shape
-        self.wFOV = FOV
-        self.THETA = THETA
-        self.PHI = PHI
-        self.hFOV = float(self._height) / self._width * FOV
-
-        self.w_len = np.tan(np.radians(self.wFOV / 2.0))
-        self.h_len = np.tan(np.radians(self.hFOV / 2.0))
-
-    
-
-    def GetEquirec(self,height,width):
-        #
-        # THETA is left/right angle, PHI is up/down angle, both in degree
-        #
-
-        x,y = np.meshgrid(np.linspace(-180, 180,width),np.linspace(90,-90,height))
-        
-        x_map = np.cos(np.radians(x)) * np.cos(np.radians(y))
-        y_map = np.sin(np.radians(x)) * np.cos(np.radians(y))
-        z_map = np.sin(np.radians(y))
-
-        xyz = np.stack((x_map,y_map,z_map),axis=2)
-
-        y_axis = np.array([0.0, 1.0, 0.0], np.float32)
-        z_axis = np.array([0.0, 0.0, 1.0], np.float32)
-        [R1, _] = cv2.Rodrigues(z_axis * np.radians(self.THETA))
-        [R2, _] = cv2.Rodrigues(np.dot(R1, y_axis) * np.radians(-self.PHI))
-
-        R1 = np.linalg.inv(R1)
-        R2 = np.linalg.inv(R2)
-
-        xyz = xyz.reshape([height * width, 3]).T
-        xyz = np.dot(R2, xyz)
-        xyz = np.dot(R1, xyz).T
-
-        xyz = xyz.reshape([height , width, 3])
-        inverse_mask = np.where(xyz[:,:,0]>0,1,0)
-
-        xyz[:,:] = xyz[:,:]/np.repeat(xyz[:,:,0][:, :, np.newaxis], 3, axis=2)
-        
-        
-        lon_map = np.where((-self.w_len<xyz[:,:,1])&(xyz[:,:,1]<self.w_len)&(-self.h_len<xyz[:,:,2])
-                    &(xyz[:,:,2]<self.h_len),(xyz[:,:,1]+self.w_len)/2/self.w_len*self._width,0)
-        lat_map = np.where((-self.w_len<xyz[:,:,1])&(xyz[:,:,1]<self.w_len)&(-self.h_len<xyz[:,:,2])
-                    &(xyz[:,:,2]<self.h_len),(-xyz[:,:,2]+self.h_len)/2/self.h_len*self._height,0)
-        mask = np.where((-self.w_len<xyz[:,:,1])&(xyz[:,:,1]<self.w_len)&(-self.h_len<xyz[:,:,2])
-                    &(xyz[:,:,2]<self.h_len),1,0)
-
-        persp = cv2.remap(self._img, lon_map.astype(np.float32), lat_map.astype(np.float32), cv2.INTER_CUBIC, borderMode=cv2.BORDER_WRAP)
-        
-        mask = mask * inverse_mask
-        mask = np.repeat(mask[:, :, np.newaxis], 3, axis=2)
-        persp = persp * mask
-        
-        
-        return persp , mask
-        
-
-
-
-
-
-
diff --git a/lib/multi_Perspec2Equirec.py b/lib/multi_Perspec2Equirec.py
deleted file mode 100644
index 691c2719c3b932a183875f371f29a9d2cecb415b..0000000000000000000000000000000000000000
--- a/lib/multi_Perspec2Equirec.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import os
-import sys
-import cv2
-import numpy as np
-import lib.Perspec2Equirec as P2E
-
-
-class Perspective:
-    def __init__(self, img_array , F_T_P_array ):
-        
-        assert len(img_array)==len(F_T_P_array)
-        
-        self.img_array = img_array
-        self.F_T_P_array = F_T_P_array
-    
-
-    def GetEquirec(self,height,width):
-        #
-        # THETA is left/right angle, PHI is up/down angle, both in degree
-        #
-        merge_image = np.zeros((height,width,3))
-        merge_mask = np.zeros((height,width,3))
-
-
-        for img_dir,[F,T,P] in zip (self.img_array,self.F_T_P_array):
-            per = P2E.Perspective(img_dir,F,T,P)        # Load equirectangular image
-            img , mask = per.GetEquirec(height,width)   # Specify parameters(FOV, theta, phi, height, width)
-            mask = mask.astype(np.float32)
-            img = img.astype(np.float32)
-
-            weight_mask = np.zeros((img_dir.shape[0],img_dir.shape[1], 3))
-            w = img_dir.shape[1]
-            weight_mask[:,0:w//2,:] = np.linspace(0,1,w//2)[...,None]
-            weight_mask[:,w//2:,:] = np.linspace(1,0,w//2)[...,None]
-            weight_mask = P2E.Perspective(weight_mask,F,T,P)
-            weight_mask, _ = weight_mask.GetEquirec(height,width)
-
-
-            blur = cv2.blur(mask,(5,5))
-            blur = blur * mask
-            mask = (blur == 1) * blur + (blur != 1) * blur * 0.05
-
-            merge_image += img * weight_mask
-            merge_mask += weight_mask
-
-        merge_image[merge_mask==0] = 255.
-        merge_mask = np.where(merge_mask==0,1,merge_mask)
-        merge_image = (np.divide(merge_image,merge_mask))
-
-        
-        return merge_image
-
-
-
-
-
-
diff --git a/lib/old_Perspec2Equirec.py b/lib/old_Perspec2Equirec.py
deleted file mode 100644
index 5d3afd090b376790b35440e334417e2e8fca54fa..0000000000000000000000000000000000000000
--- a/lib/old_Perspec2Equirec.py
+++ /dev/null
@@ -1,89 +0,0 @@
-import os
-import sys
-import cv2
-import numpy as np
-
-class Perspective:
-    def __init__(self, img_name , FOV, THETA, PHI ):
-        self._img = cv2.imread(img_name, cv2.IMREAD_COLOR)
-        [self._height, self._width, _] = self._img.shape
-        self.FOV = FOV
-        self.THETA = THETA
-        self.PHI = PHI
-    
-
-    def GetEquirec(self,height,width):
-        #
-        # THETA is left/right angle, PHI is up/down angle, both in degree
-        #
-
-        equ_h = height
-        equ_w = width
-        equ_cx = (equ_w - 1) / 2.0
-        equ_cy = (equ_h - 1) / 2.0
-
-        wFOV = self.FOV
-        hFOV = float(self._height) / self._width * wFOV
-
-        w_len = np.tan(np.radians(wFOV / 2.0))
-        h_len = np.tan(np.radians(hFOV / 2.0))
-
-
-        x_map = np.ones([self._height, self._width], np.float32)
-        y_map = np.tile(np.linspace(-w_len, w_len,self._width), [self._height,1])
-        z_map = -np.tile(np.linspace(-h_len, h_len,self._height), [self._width,1]).T
-
-        print(z_map[0])
-
-        D = np.sqrt(x_map**2 + y_map**2 + z_map**2)
-        xyz = np.stack((x_map,y_map,z_map),axis=2)/np.repeat(D[:, :, np.newaxis], 3, axis=2)
-        print(xyz[0,:,2])
-        
-        y_axis = np.array([0.0, 1.0, 0.0], np.float32)
-        z_axis = np.array([0.0, 0.0, 1.0], np.float32)
-        [R1, _] = cv2.Rodrigues(z_axis * np.radians(self.THETA))
-        [R2, _] = cv2.Rodrigues(np.dot(R1, y_axis) * np.radians(-self.PHI))
-
-        xyz = xyz.reshape([self._height * self._width, 3]).T
-        xyz = np.dot(R1, xyz)
-        xyz = np.dot(R2, xyz).T
-        lat = np.arcsin(xyz[:, 2])
-        lon = np.arctan2(xyz[:, 1] , xyz[:, 0])
-
-        lon = lon / np.pi * 180
-        lat = -lat / np.pi * 180
-
-        print(lat.reshape([self._height , self._width])[0])
-        print(lon.reshape([self._height , self._width])[0])
-        
-        lon = (lon / 180 * equ_cx + equ_cx).astype(np.int)
-        lat = (lat / 90  * equ_cy + equ_cy).astype(np.int)
-        coordinate = (lat,lon)
-
-        x_map = np.repeat(np.arange(self._height), self._width)
-        y_map = np.tile(np.arange(self._width), self._height)
-
-        blank_map_x = np.zeros((height,width))
-        blank_map_y = np.zeros((height,width))
-        mask = np.zeros((height,width,3))
-
-        blank_map_x[coordinate] = x_map
-        blank_map_y[coordinate] = y_map
-        mask[coordinate] = [1,1,1]
-
-        # print(lat.reshape([self._height, self._width]))
-        # print(lon.reshape([self._height, self._width])[-1,1910:1930])
-
-
-        persp = cv2.remap(self._img, blank_map_y.astype(np.float32), blank_map_x.astype(np.float32), cv2.INTER_CUBIC, borderMode=cv2.BORDER_WRAP)
-        
-        persp = persp * mask
-        
-        return persp , mask
-        
-
-
-
-
-
-
diff --git a/mvdiffusion/data/dataset.py b/mvdiffusion/data/dataset.py
deleted file mode 100644
index 255215929dbf912481e37515f2c52cda49a31b23..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/dataset.py
+++ /dev/null
@@ -1,138 +0,0 @@
-# import decord
-# decord.bridge.set_bridge('torch')
-
-from torch.utils.data import Dataset
-from einops import rearrange
-from typing import Literal, Tuple, Optional, Any
-import glob
-import os
-import json
-import random
-import cv2
-import math
-import numpy as np
-import torch
-from PIL import Image
-
-
-class MVDiffusionDatasetV1(Dataset):
-    def __init__(
-        self,
-        root_dir: str,
-        num_views: int,
-        bg_color: Any,
-        img_wh: Tuple[int, int],
-        validation: bool = False,
-        num_validation_samples: int = 64,
-        num_samples: Optional[int] = None,
-        caption_path: Optional[str] = None,
-        elevation_range_deg: Tuple[float,float] = (-90, 90),
-        azimuth_range_deg: Tuple[float, float] = (0, 360),
-    ):
-        self.all_obj_paths = sorted(glob.glob(os.path.join(root_dir, "*/*")))
-        if not validation:
-            self.all_obj_paths = self.all_obj_paths[:-num_validation_samples]
-        else:
-            self.all_obj_paths = self.all_obj_paths[-num_validation_samples:]
-        if num_samples is not None:
-            self.all_obj_paths = self.all_obj_paths[:num_samples]
-        self.all_obj_ids = [os.path.basename(path) for path in self.all_obj_paths]
-        self.num_views = num_views
-        self.bg_color = bg_color
-        self.img_wh = img_wh
-    
-    def get_bg_color(self):
-        if self.bg_color == 'white':
-            bg_color = np.array([1., 1., 1.], dtype=np.float32)
-        elif self.bg_color == 'black':
-            bg_color = np.array([0., 0., 0.], dtype=np.float32)
-        elif self.bg_color == 'gray':
-            bg_color = np.array([0.5, 0.5, 0.5], dtype=np.float32)
-        elif self.bg_color == 'random':
-            bg_color = np.random.rand(3)
-        elif isinstance(self.bg_color, float):
-            bg_color = np.array([self.bg_color] * 3, dtype=np.float32)
-        else:
-            raise NotImplementedError
-        return bg_color
-    
-    def load_image(self, img_path, bg_color, return_type='np'):
-        # not using cv2 as may load in uint16 format
-        # img = cv2.imread(img_path, cv2.IMREAD_UNCHANGED) # [0, 255]
-        # img = cv2.resize(img, self.img_wh, interpolation=cv2.INTER_CUBIC)
-        # pil always returns uint8
-        img = np.array(Image.open(img_path).resize(self.img_wh))
-        img = img.astype(np.float32) / 255. # [0, 1]
-        assert img.shape[-1] == 4 # RGBA
-
-        alpha = img[...,3:4]
-        img = img[...,:3] * alpha + bg_color * (1 - alpha)
-
-        if return_type == "np":
-            pass
-        elif return_type == "pt":
-            img = torch.from_numpy(img)
-        else:
-            raise NotImplementedError
-        
-        return img
-
-    def __len__(self):
-        return len(self.all_obj_ids)
-
-    def __getitem__(self, index):
-        obj_path = self.all_obj_paths[index]
-        obj_id = self.all_obj_ids[index]
-        with open(os.path.join(obj_path, 'meta.json')) as f:
-            meta = json.loads(f.read())
-
-        num_views_all = len(meta['locations'])
-        num_groups = num_views_all // self.num_views
-
-        # random a set of 4 views
-        # the data is arranged in ascending order of the azimuth angle
-        group_ids = random.sample(range(num_groups), k=2)
-        cond_group_id, tgt_group_id = group_ids
-        cond_location = meta['locations'][cond_group_id * self.num_views + random.randint(0, self.num_views - 1)]
-        tgt_locations = meta['locations'][tgt_group_id * self.num_views : tgt_group_id * self.num_views + self.num_views]
-        # random an order
-        start_id = random.randint(0, self.num_views - 1)
-        tgt_locations = tgt_locations[start_id:] + tgt_locations[:start_id]
-        
-        cond_elevation = cond_location['elevation']
-        cond_azimuth = cond_location['azimuth']
-        tgt_elevations = [loc['elevation'] for loc in tgt_locations]
-        tgt_azimuths = [loc['azimuth'] for loc in tgt_locations]
-
-        elevations = [ele - cond_elevation for ele in tgt_elevations]
-        azimuths = [(azi - cond_azimuth) % (math.pi * 2) for azi in tgt_azimuths]
-        elevations = torch.as_tensor(elevations).float()
-        azimuths = torch.as_tensor(azimuths).float()
-        elevations_cond = torch.as_tensor([cond_elevation] * self.num_views).float()
-
-        bg_color = self.get_bg_color()
-        img_tensors_in = [
-            self.load_image(os.path.join(obj_path, cond_location['frames'][0]['name']), bg_color, return_type='pt').permute(2, 0, 1)
-        ] * self.num_views
-        img_tensors_out = []
-        for loc in tgt_locations:
-            img_path = os.path.join(obj_path, loc['frames'][0]['name'])
-            img_tensor = self.load_image(img_path, bg_color, return_type="pt").permute(2, 0, 1)
-            img_tensors_out.append(img_tensor)
-        img_tensors_in = torch.stack(img_tensors_in, dim=0).float() # (Nv, 3, H, W)
-        img_tensors_out = torch.stack(img_tensors_out, dim=0).float() # (Nv, 3, H, W)
-
-        camera_embeddings = torch.stack([elevations_cond, elevations, azimuths], dim=-1) # (Nv, 3)
-
-        return {
-            'elevations_cond': elevations_cond,
-            'elevations_cond_deg': torch.rad2deg(elevations_cond),
-            'elevations': elevations,
-            'azimuths': azimuths,
-            'elevations_deg': torch.rad2deg(elevations),
-            'azimuths_deg': torch.rad2deg(azimuths),
-            'imgs_in': img_tensors_in,
-            'imgs_out': img_tensors_out,
-            'camera_embeddings': camera_embeddings
-        }
-
diff --git a/mvdiffusion/data/dataset_nc.py b/mvdiffusion/data/dataset_nc.py
deleted file mode 100644
index 82f793ee67c5986c486c8a5e97d6947e43fb3e40..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/dataset_nc.py
+++ /dev/null
@@ -1,178 +0,0 @@
-# import decord
-# decord.bridge.set_bridge('torch')
-
-from torch.utils.data import Dataset
-from einops import rearrange
-from typing import Literal, Tuple, Optional, Any
-import glob
-import os
-import json
-import random
-import cv2
-import math
-import numpy as np
-import torch
-from PIL import Image
-from .normal_utils import trans_normal, img2normal, normal2img
-
-"""
-load normal and color images together
-"""
-class MVDiffusionDatasetV2(Dataset):
-    def __init__(
-        self,
-        root_dir: str,
-        num_views: int,
-        bg_color: Any,
-        img_wh: Tuple[int, int],
-        validation: bool = False,
-        num_validation_samples: int = 64,
-        num_samples: Optional[int] = None,
-        caption_path: Optional[str] = None,
-        elevation_range_deg: Tuple[float,float] = (-90, 90),
-        azimuth_range_deg: Tuple[float, float] = (0, 360),
-    ):
-        self.all_obj_paths = sorted(glob.glob(os.path.join(root_dir, "*/*")))
-        if not validation:
-            self.all_obj_paths = self.all_obj_paths[:-num_validation_samples]
-        else:
-            self.all_obj_paths = self.all_obj_paths[-num_validation_samples:]
-        if num_samples is not None:
-            self.all_obj_paths = self.all_obj_paths[:num_samples]
-        self.all_obj_ids = [os.path.basename(path) for path in self.all_obj_paths]
-        self.num_views = num_views
-        self.bg_color = bg_color
-        self.img_wh = img_wh
-    
-    def get_bg_color(self):
-        if self.bg_color == 'white':
-            bg_color = np.array([1., 1., 1.], dtype=np.float32)
-        elif self.bg_color == 'black':
-            bg_color = np.array([0., 0., 0.], dtype=np.float32)
-        elif self.bg_color == 'gray':
-            bg_color = np.array([0.5, 0.5, 0.5], dtype=np.float32)
-        elif self.bg_color == 'random':
-            bg_color = np.random.rand(3)
-        elif isinstance(self.bg_color, float):
-            bg_color = np.array([self.bg_color] * 3, dtype=np.float32)
-        else:
-            raise NotImplementedError
-        return bg_color
-    
-    def load_image(self, img_path, bg_color, return_type='np'):
-        # not using cv2 as may load in uint16 format
-        # img = cv2.imread(img_path, cv2.IMREAD_UNCHANGED) # [0, 255]
-        # img = cv2.resize(img, self.img_wh, interpolation=cv2.INTER_CUBIC)
-        # pil always returns uint8
-        img = np.array(Image.open(img_path).resize(self.img_wh))
-        img = img.astype(np.float32) / 255. # [0, 1]
-        assert img.shape[-1] == 4 # RGBA
-
-        alpha = img[...,3:4]
-        img = img[...,:3] * alpha + bg_color * (1 - alpha)
-
-        if return_type == "np":
-            pass
-        elif return_type == "pt":
-            img = torch.from_numpy(img)
-        else:
-            raise NotImplementedError
-        
-        return img, alpha
-    
-    def load_normal(self, img_path, bg_color, alpha, RT_w2c=None, RT_w2c_cond=None, return_type='np'):
-        # not using cv2 as may load in uint16 format
-        # img = cv2.imread(img_path, cv2.IMREAD_UNCHANGED) # [0, 255]
-        # img = cv2.resize(img, self.img_wh, interpolation=cv2.INTER_CUBIC)
-        # pil always returns uint8
-        normal = np.array(Image.open(img_path).resize(self.img_wh))
-
-        assert normal.shape[-1] == 3 # RGB
-
-        normal = trans_normal(img2normal(normal), RT_w2c, RT_w2c_cond)
-        img = normal2img(normal)
-
-        img = img.astype(np.float32) / 255. # [0, 1]
-
-        img = img[...,:3] * alpha + bg_color * (1 - alpha)
-
-        if return_type == "np":
-            pass
-        elif return_type == "pt":
-            img = torch.from_numpy(img)
-        else:
-            raise NotImplementedError
-        
-        return img
-
-    def __len__(self):
-        return len(self.all_obj_ids)
-
-    def __getitem__(self, index):
-        obj_path = self.all_obj_paths[index]
-        obj_id = self.all_obj_ids[index]
-        with open(os.path.join(obj_path, 'meta.json')) as f:
-            meta = json.loads(f.read())
-
-        num_views_all = len(meta['locations'])
-        num_groups = num_views_all // self.num_views
-
-        # random a set of 4 views
-        # the data is arranged in ascending order of the azimuth angle
-        group_ids = random.sample(range(num_groups), k=2)
-        cond_group_id, tgt_group_id = group_ids
-        cond_location = meta['locations'][cond_group_id * self.num_views + random.randint(0, self.num_views - 1)]
-        tgt_locations = meta['locations'][tgt_group_id * self.num_views : tgt_group_id * self.num_views + self.num_views]
-        # random an order
-        start_id = random.randint(0, self.num_views - 1)
-        tgt_locations = tgt_locations[start_id:] + tgt_locations[:start_id]
-        
-        cond_elevation = cond_location['elevation']
-        cond_azimuth = cond_location['azimuth']
-        cond_c2w = cond_location['transform_matrix']
-        cond_w2c = np.linalg.inv(cond_c2w)
-        tgt_elevations = [loc['elevation'] for loc in tgt_locations]
-        tgt_azimuths = [loc['azimuth'] for loc in tgt_locations]
-        tgt_c2ws = [loc['transform_matrix'] for loc in tgt_locations]
-        tgt_w2cs = [np.linalg.inv(loc['transform_matrix']) for loc in tgt_locations]
-
-        elevations = [ele - cond_elevation for ele in tgt_elevations]
-        azimuths = [(azi - cond_azimuth) % (math.pi * 2) for azi in tgt_azimuths]
-        elevations = torch.as_tensor(elevations).float()
-        azimuths = torch.as_tensor(azimuths).float()
-        elevations_cond = torch.as_tensor([cond_elevation] * self.num_views).float()
-
-        bg_color = self.get_bg_color()
-        img_tensors_in = [
-            self.load_image(os.path.join(obj_path, cond_location['frames'][0]['name']), bg_color, return_type='pt')[0].permute(2, 0, 1)
-        ] * self.num_views
-        img_tensors_out = []
-        normal_tensors_out = []
-        for loc, tgt_w2c in zip(tgt_locations, tgt_w2cs):
-            img_path = os.path.join(obj_path, loc['frames'][0]['name'])
-            img_tensor, alpha = self.load_image(img_path, bg_color, return_type="pt")
-            img_tensor = img_tensor.permute(2, 0, 1)
-            img_tensors_out.append(img_tensor)
-
-            normal_path = os.path.join(obj_path, loc['frames'][1]['name'])
-            normal_tensor = self.load_normal(normal_path, bg_color, alpha, RT_w2c=tgt_w2c, RT_w2c_cond=cond_w2c, return_type="pt").permute(2, 0, 1)
-            normal_tensors_out.append(normal_tensor)
-        img_tensors_in = torch.stack(img_tensors_in, dim=0).float() # (Nv, 3, H, W)
-        img_tensors_out = torch.stack(img_tensors_out, dim=0).float() # (Nv, 3, H, W)
-        normal_tensors_out = torch.stack(normal_tensors_out, dim=0).float() # (Nv, 3, H, W)
-
-        camera_embeddings = torch.stack([elevations_cond, elevations, azimuths], dim=-1) # (Nv, 3)
-
-        return {
-            'elevations_cond': elevations_cond,
-            'elevations_cond_deg': torch.rad2deg(elevations_cond),
-            'elevations': elevations,
-            'azimuths': azimuths,
-            'elevations_deg': torch.rad2deg(elevations),
-            'azimuths_deg': torch.rad2deg(azimuths),
-            'imgs_in': img_tensors_in,
-            'imgs_out': img_tensors_out,
-            'normals_out': normal_tensors_out,
-            'camera_embeddings': camera_embeddings
-        }
-
diff --git a/mvdiffusion/data/dreamdata.py b/mvdiffusion/data/dreamdata.py
deleted file mode 100644
index 182516a39293beac9d7374ba13f544137288069c..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/dreamdata.py
+++ /dev/null
@@ -1,355 +0,0 @@
-from typing import Dict
-import numpy as np
-
-import torch
-from torch.utils.data import Dataset
-from pathlib import Path
-import json
-from PIL import Image
-from torchvision import transforms
-from einops import rearrange, repeat
-from typing import Literal, Tuple, Optional, Any
-import cv2
-import random
-
-import json
-import os, sys
-import math
-
-from PIL import Image, ImageOps
-from normal_utils import worldNormal2camNormal, plot_grid_images, img2normal, norm_normalize, deg2rad
-
-import pdb
-from icecream import ic
-def shift_list(lst, n):
-    length = len(lst)
-    n = n % length  # Ensure n is within the range of the list length
-    return lst[-n:] + lst[:-n]
-
-
-class ObjaverseDataset(Dataset):
-    def __init__(self,
-        root_dir: str,
-        azi_interval: float,
-        random_views: int,
-        predict_relative_views: list,
-        bg_color: Any,
-        object_list: str,
-        prompt_embeds_path: str,
-        img_wh: Tuple[int, int],
-        validation: bool = False,
-        num_validation_samples: int = 64,
-        num_samples: Optional[int] = None,
-        invalid_list: Optional[str] = None,
-        trans_norm_system: bool = True,   # if True, transform all normals map into the cam system of front view
-        # augment_data: bool = False,
-        side_views_rate: float = 0.,
-        read_normal: bool = True,
-        read_color: bool = False,
-        read_depth: bool = False,
-        mix_color_normal: bool = False,
-        random_view_and_domain: bool = False,
-        load_cache: bool = False,
-        exten: str = '.png',
-        elevation_list: Optional[str] = None,
-        ) -> None:
-        """Create a dataset from a folder of images.
-        If you pass in a root directory it will be searched for images
-        ending in ext (ext can be a list)
-        """
-        self.root_dir = root_dir
-        self.fixed_views = int(360 // azi_interval)
-        self.bg_color = bg_color
-        self.validation = validation
-        self.num_samples = num_samples
-        self.trans_norm_system = trans_norm_system
-        # self.augment_data = augment_data
-        self.invalid_list = invalid_list
-        self.img_wh = img_wh
-        self.read_normal = read_normal
-        self.read_color = read_color
-        self.read_depth = read_depth
-        self.mix_color_normal = mix_color_normal  # mix load color and normal maps
-        self.random_view_and_domain = random_view_and_domain # load normal or rgb of a single view
-        self.random_views = random_views
-        self.load_cache = load_cache
-        self.total_views = int(self.fixed_views * (self.random_views + 1))
-        self.predict_relative_views = predict_relative_views
-        self.pred_view_nums = len(self.predict_relative_views)
-        self.exten = exten
-        self.side_views_rate = side_views_rate
-
-        # ic(self.augment_data)
-        ic(self.total_views)
-        ic(self.fixed_views)
-        ic(self.predict_relative_views)
-        
-        self.objects = []
-        if object_list is not None:
-            for dataset_list in object_list:
-                with open(dataset_list, 'r') as f:
-                #     objects = f.readlines()
-                #     objects = [o.strip() for o in objects]
-                    objects = json.load(f)
-                self.objects.extend(objects)
-        else:
-            self.objects = os.listdir(self.root_dir)
-
-        # load fixed camera poses
-        self.trans_cv2gl_mat = np.linalg.inv(np.array([[1, 0, 0], [0, -1, 0], [0, 0, -1]]))
-        self.fix_cam_poses = []
-        camera_path = os.path.join(self.root_dir, self.objects[0], 'camera')
-        for vid in range(0, self.total_views, self.random_views+1):
-            cam_info = np.load(f'{camera_path}/{vid:03d}.npy', allow_pickle=True).item()
-            assert cam_info['camera'] == 'ortho', 'Only support predict ortho camera !!!'
-            self.fix_cam_poses.append(cam_info['extrinsic'])
-        random.shuffle(self.objects)
-        
-        # import pdb; pdb.set_trace()
-        invalid_objects = []
-        if self.invalid_list is not None:
-            for invalid_list in self.invalid_list:
-                if invalid_list[-4:] == '.txt':
-                    with open(invalid_list, 'r') as f:
-                        sub_invalid = f.readlines()
-                        invalid_objects.extend([o.strip() for o in sub_invalid]) 
-                else:
-                    with open(invalid_list) as f:
-                        invalid_objects.extend(json.load(f))
-        self.invalid_objects = invalid_objects
-        ic(len(self.invalid_objects))
-        
-        if elevation_list:
-            with open(elevation_list, 'r') as f:
-                ele_list = [o.strip() for o in f.readlines()] 
-            self.objects = set(ele_list) & set(self.objects)
-          
-        self.all_objects = set(self.objects) - (set(self.invalid_objects) & set(self.objects))
-        self.all_objects = list(self.all_objects)
-        
-        self.validation = validation
-        if not validation:
-            self.all_objects = self.all_objects[:-num_validation_samples]
-            # print('Warning: you are fitting in small-scale dataset')
-            # self.all_objects = self.all_objects
-        else:
-            self.all_objects = self.all_objects[-num_validation_samples:]
-            
-        if num_samples is not None:
-            self.all_objects = self.all_objects[:num_samples]
-        ic(len(self.all_objects))
-        print("loading ", len(self.all_objects), " objects in the dataset")
-
-        self.normal_prompt_embedding = torch.load(f'{prompt_embeds_path}/normal_embeds.pt')
-        self.color_prompt_embedding = torch.load(f'{prompt_embeds_path}/clr_embeds.pt')
-        
-        if self.mix_color_normal:
-            self.backup_data = self.__getitem_mix__(0, '8609cf7e67bf413487a7d94c73aeaa3e')
-        else:
-            self.backup_data = self.__getitem_norm__(0, '8609cf7e67bf413487a7d94c73aeaa3e') 
-    
-    def trans_cv2gl(self, rt):
-        r, t = rt[:3, :3], rt[:3, -1]
-        r = np.matmul(self.trans_cv2gl_mat, r)   
-        t = np.matmul(self.trans_cv2gl_mat, t)
-        return np.concatenate([r, t[:, None]], axis=-1)
-
-    def get_bg_color(self):
-        if self.bg_color == 'white':
-            bg_color = np.array([1., 1., 1.], dtype=np.float32)
-        elif self.bg_color == 'black':
-            bg_color = np.array([0., 0., 0.], dtype=np.float32)
-        elif self.bg_color == 'gray':
-            bg_color = np.array([0.5, 0.5, 0.5], dtype=np.float32)
-        elif self.bg_color == 'random':
-            bg_color = np.random.rand(3)
-        elif self.bg_color == 'three_choices':
-            white = np.array([1., 1., 1.], dtype=np.float32)
-            black = np.array([0., 0., 0.], dtype=np.float32)
-            gray = np.array([0.5, 0.5, 0.5], dtype=np.float32)
-            bg_color = random.choice([white, black, gray])
-        elif isinstance(self.bg_color, float):
-            bg_color = np.array([self.bg_color] * 3, dtype=np.float32)
-        else:
-            raise NotImplementedError
-        return bg_color
-        
-            
-    def load_image(self, img_path, bg_color, alpha=None, return_type='np'):
-        # not using cv2 as may load in uint16 format
-        # img = cv2.imread(img_path, cv2.IMREAD_UNCHANGED) # [0, 255]
-        # img = cv2.resize(img, self.img_wh, interpolation=cv2.INTER_CUBIC)
-        # pil always returns uint8
-        rgba = np.array(Image.open(img_path).resize(self.img_wh))
-        rgba = rgba.astype(np.float32) / 255. # [0, 1]
-        
-        img = rgba[..., :3]
-        if alpha is None:
-            assert rgba.shape[-1] == 4 
-            alpha = rgba[..., 3:4]
-        assert alpha.sum() > 1e-8, 'w/o foreground'
-        img = img[...,:3] * alpha + bg_color * (1 - alpha)
-
-        if return_type == "np":
-            pass
-        elif return_type == "pt":
-            img = torch.from_numpy(img)
-            alpha = torch.from_numpy(alpha)
-        else:
-            raise NotImplementedError
-        
-        return img, alpha
-    
-    def load_depth(self, img_path, bg_color, alpha, input_type='png', return_type='np'):
-        # not using cv2 as may load in uint16 format
-        # img = cv2.imread(img_path, cv2.IMREAD_UNCHANGED) # [0, 255]
-        # img = cv2.resize(img, self.img_wh, interpolation=cv2.INTER_CUBIC)
-        # pil always returns uint8
-        img = np.array(Image.open(img_path).resize(self.img_wh))
-        img = img.astype(np.float32) / 65535. # [0, 1]
-
-        img[img > 0.4] = 0
-        img = img / 0.4
-        
-        assert img.ndim == 2 # depth
-        img = np.stack([img]*3, axis=-1)
-
-        if alpha.shape[-1] != 1:
-            alpha = alpha[:, :, None]
-
-        # print(np.max(img[:, :, 0]))
-
-        img = img[...,:3] * alpha + bg_color * (1 - alpha)
-
-        if return_type == "np":
-            pass
-        elif return_type == "pt":
-            img = torch.from_numpy(img)
-        else:
-            raise NotImplementedError
-        
-        return img
-    
-    def load_normal(self, img_path, bg_color, alpha,  RT_w2c_cond=None, return_type='np'):
-        normal_np = np.array(Image.open(img_path).resize(self.img_wh))[:, :, :3]
-        assert np.var(normal_np) > 1e-8, 'pure normal'
-        normal_cv = img2normal(normal_np)
-        
-        normal_relative_cv = worldNormal2camNormal(RT_w2c_cond[:3, :3], normal_cv)
-        normal_relative_cv = norm_normalize(normal_relative_cv)
-        # normal_relative_gl = normal_relative_cv[..., [ 0, 2, 1]]
-        # normal_relative_gl[..., 2] = -normal_relative_gl[..., 2]
-        normal_relative_gl = normal_relative_cv
-        normal_relative_gl[..., 1:] = -normal_relative_gl[..., 1:]
-
-        img = (normal_relative_cv*0.5 + 0.5).astype(np.float32)  # [0, 1]
-        
-        if alpha.shape[-1] != 1:
-            alpha = alpha[:, :, None]
-
-        
-        img = img[...,:3] * alpha + bg_color * (1 - alpha)
-
-        if return_type == "np":
-            pass
-        elif return_type == "pt":
-            img = torch.from_numpy(img)
-        else:
-            raise NotImplementedError
-        
-        return img
-
-    def __len__(self):
-        return len(self.all_objects)
-        
-    def __getitem_norm__(self, index, debug_object=None):
-        # get the bg color
-        bg_color = self.get_bg_color()
-        if debug_object is not  None:
-            object_name =  debug_object
-        else:
-            object_name = self.all_objects[index % len(self.all_objects)]
-            
-        if self.validation:
-            cond_ele0_idx = 12
-        else:
-            rand = random.random()
-            if rand < self.side_views_rate: # 0.1
-                cond_ele0_idx =  random.sample([8, 0], 1)[0]
-            elif rand < 3 * self.side_views_rate: # 0.3
-                cond_ele0_idx =  random.sample([10, 14], 1)[0]
-            else:
-                cond_ele0_idx = 12  #  front view
-        cond_random_idx = random.sample(range(self.random_views+1), 1)[0]
-        
-        # condition info
-        cond_ele0_vid = cond_ele0_idx * (self.random_views + 1)
-        cond_vid = cond_ele0_vid + cond_random_idx   
-        cond_ele0_w2c = self.fix_cam_poses[cond_ele0_idx]
-        cond_info = np.load(f'{self.root_dir}/{object_name}/camera/{cond_vid:03d}.npy', allow_pickle=True).item()
-        cond_type = cond_info['camera']
-        focal_len = cond_info['focal']
-
-        cond_eles = np.array([deg2rad(cond_info['elevation'])])
-        
-        img_tensors_in = [
-            self.load_image(f"{self.root_dir}/{object_name}/image/{cond_vid:03d}{self.exten}", bg_color, return_type='pt')[0].permute(2, 0, 1)
-        ] * self.pred_view_nums
-
-        # output info
-        pred_vids = [(cond_ele0_vid + i * (self.random_views+1)) % self.total_views  for i in self.predict_relative_views]
-        # pred_w2cs = [self.fix_cam_poses[(cond_ele0_idx + i) % self.fixed_views] for i in self.predict_relative_views]
-        img_tensors_out = []
-        normal_tensors_out = []
-        for i, vid in enumerate(pred_vids):
-            try:
-                img_tensor, alpha_ = self.load_image(f"{self.root_dir}/{object_name}/image/{vid:03d}{self.exten}", bg_color, return_type='pt')
-            except:
-                img_tensor, alpha_ = self.load_image(f"{self.root_dir}/{object_name}/image_relit/{vid:03d}{self.exten}", bg_color, return_type='pt')
-                                  
-            img_tensor = img_tensor.permute(2, 0, 1) # (3, H, W)
-            img_tensors_out.append(img_tensor)
-            
-
-            normal_tensor = self.load_normal(f"{self.root_dir}/{object_name}/normal/{vid:03d}{self.exten}", bg_color, alpha_.numpy(), RT_w2c_cond=cond_ele0_w2c[:3, :], return_type="pt").permute(2, 0, 1)
-            normal_tensors_out.append(normal_tensor)
-
-
-        img_tensors_in = torch.stack(img_tensors_in, dim=0).float() # (Nv, 3, H, W)
-        img_tensors_out = torch.stack(img_tensors_out, dim=0).float() # (Nv, 3, H, W)
-        normal_tensors_out = torch.stack(normal_tensors_out, dim=0).float() # (Nv, 3, H, W)
-
-        elevations_cond = torch.as_tensor(cond_eles).float()
-        if cond_type == 'ortho':
-            focal_embed = torch.tensor([0.])
-        else:
-            focal_embed = torch.tensor([24./focal_len])
-      
-        
-        if not self.load_cache:
-            return {            
-                'elevations_cond': elevations_cond,
-                'focal_cond': focal_embed,
-                'id': object_name,
-                'vid':cond_vid,
-                'imgs_in': img_tensors_in,
-                'imgs_out': img_tensors_out,
-                'normals_out': normal_tensors_out,
-                'normal_prompt_embeddings': self.normal_prompt_embedding,
-                'color_prompt_embeddings': self.color_prompt_embedding
-            }
-       
-            
-  
-    def __getitem__(self, index):
-        try:
-            return self.__getitem_norm__(index)
-        except:
-            print("load error ", self.all_objects[index%len(self.all_objects)] )
-            return self.backup_data
-
-        
-
-    
-        
-       
diff --git a/mvdiffusion/data/fixed_prompt_embeds_6view/clr_embeds.pt b/mvdiffusion/data/fixed_prompt_embeds_6view/clr_embeds.pt
deleted file mode 100644
index de105d6a0a017da97af4644608a87785ec54d9cb..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/fixed_prompt_embeds_6view/clr_embeds.pt
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b9e51666588d0f075e031262744d371e12076160231aab19a531dbf7ab976e4d
-size 946932
diff --git a/mvdiffusion/data/fixed_prompt_embeds_6view/normal_embeds.pt b/mvdiffusion/data/fixed_prompt_embeds_6view/normal_embeds.pt
deleted file mode 100644
index 7fb88dcf24443b235588cf426eba3951316e825f..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/fixed_prompt_embeds_6view/normal_embeds.pt
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:53dfcd17f62fbfd8aeba60b1b05fa7559d72179738fd048e2ac1d53e5be5ed9d
-size 946941
diff --git a/mvdiffusion/data/generate_fixed_text_embeds.py b/mvdiffusion/data/generate_fixed_text_embeds.py
deleted file mode 100644
index 8453d01ada9d316fe5c124dad9c2c0772c75e0ab..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/generate_fixed_text_embeds.py
+++ /dev/null
@@ -1,78 +0,0 @@
-from transformers import CLIPTokenizer, CLIPTextModel
-import torch
-import os
-
-root = '/mnt/data/lipeng/'
-pretrained_model_name_or_path =  'stabilityai/stable-diffusion-2-1-unclip'
-
-
-weight_dtype = torch.float16
-device = torch.device("cuda:0")
-tokenizer = CLIPTokenizer.from_pretrained(pretrained_model_name_or_path, subfolder="tokenizer")
-text_encoder = CLIPTextModel.from_pretrained(pretrained_model_name_or_path, subfolder='text_encoder')
-text_encoder = text_encoder.to(device, dtype=weight_dtype)
-
-def generate_mv_embeds():
-    path = './fixed_prompt_embeds_8view'
-    os.makedirs(path, exist_ok=True)
-    views = ["front", "front_right", "right", "back_right", "back", " back_left", "left", "front_left"]
-    # views = ["front", "front_right", "right", "back", "left", "front_left"]
-    # views = ["front", "right", "back", "left"]
-    clr_prompt = [f"a rendering image of 3D models, {view} view, color map." for view in views]
-    normal_prompt = [f"a rendering image of 3D models, {view} view, normal map." for view in views]
-
-
-    for id, text_prompt in enumerate([clr_prompt, normal_prompt]):
-        print(text_prompt)
-        text_inputs = tokenizer(text_prompt, padding="max_length", max_length=tokenizer.model_max_length, truncation=True, return_tensors="pt").to(device)
-        text_input_ids = text_inputs.input_ids
-        untruncated_ids = tokenizer(text_prompt, padding="longest", return_tensors="pt").input_ids
-        if untruncated_ids.shape[-1] >= text_input_ids.shape[-1] and not torch.equal(
-            text_input_ids, untruncated_ids):
-            removed_text = tokenizer.batch_decode(
-                untruncated_ids[:, tokenizer.model_max_length - 1 : -1]
-            )
-        if hasattr(text_encoder.config, "use_attention_mask") and text_encoder.config.use_attention_mask:
-            attention_mask = text_inputs.attention_mask.to(device)
-        else:
-            attention_mask = None
-        prompt_embeds = text_encoder(text_input_ids.to(device), attention_mask=attention_mask,)
-        prompt_embeds = prompt_embeds[0].detach().cpu()
-        print(prompt_embeds.shape)
-
-
-        # print(prompt_embeds.dtype)
-        if id == 0:
-            torch.save(prompt_embeds, f'./{path}/clr_embeds.pt')
-        else:
-            torch.save(prompt_embeds, f'./{path}/normal_embeds.pt')
-    print('done')
-    
-
-def generate_img_embeds():
-    path = './fixed_prompt_embeds_persp2ortho'
-    os.makedirs(path, exist_ok=True)
-    text_prompt = ["a orthogonal renderining image of 3D models"]
-    print(text_prompt)
-    text_inputs = tokenizer(text_prompt, padding="max_length", max_length=tokenizer.model_max_length, truncation=True, return_tensors="pt").to(device)
-    text_input_ids = text_inputs.input_ids
-    untruncated_ids = tokenizer(text_prompt, padding="longest", return_tensors="pt").input_ids
-    if untruncated_ids.shape[-1] >= text_input_ids.shape[-1] and not torch.equal(
-        text_input_ids, untruncated_ids):
-        removed_text = tokenizer.batch_decode(
-            untruncated_ids[:, tokenizer.model_max_length - 1 : -1]
-        )
-    if hasattr(text_encoder.config, "use_attention_mask") and text_encoder.config.use_attention_mask:
-        attention_mask = text_inputs.attention_mask.to(device)
-    else:
-        attention_mask = None
-    prompt_embeds = text_encoder(text_input_ids.to(device), attention_mask=attention_mask,)
-    prompt_embeds = prompt_embeds[0].detach().cpu()
-    print(prompt_embeds.shape)
-
-    # print(prompt_embeds.dtype)
- 
-    torch.save(prompt_embeds, f'./{path}/embeds.pt')
-    print('done')
-    
-generate_img_embeds()
\ No newline at end of file
diff --git a/mvdiffusion/data/normal_utils.py b/mvdiffusion/data/normal_utils.py
deleted file mode 100644
index 1e879ab8875f392980db0006c8ef7ab976622d5f..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/normal_utils.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import numpy as np
-def deg2rad(deg):
-    return deg*np.pi/180
-
-def inv_RT(RT):
-    # RT_h = np.concatenate([RT, np.array([[0,0,0,1]])], axis=0)
-    RT_inv = np.linalg.inv(RT)
-
-    return RT_inv[:3, :]
-def camNormal2worldNormal(rot_c2w, camNormal):
-    H,W,_ = camNormal.shape
-    normal_img = np.matmul(rot_c2w[None, :, :], camNormal.reshape(-1,3)[:, :, None]).reshape([H, W, 3])
-
-    return normal_img
-
-def worldNormal2camNormal(rot_w2c, normal_map_world):
-    H,W,_ = normal_map_world.shape
-    # normal_img = np.matmul(rot_w2c[None, :, :], worldNormal.reshape(-1,3)[:, :, None]).reshape([H, W, 3])
-
-    # faster version
-    # Reshape the normal map into a 2D array where each row represents a normal vector
-    normal_map_flat = normal_map_world.reshape(-1, 3)
-
-    # Transform the normal vectors using the transformation matrix
-    normal_map_camera_flat = np.dot(normal_map_flat, rot_w2c.T)
-
-    # Reshape the transformed normal map back to its original shape
-    normal_map_camera = normal_map_camera_flat.reshape(normal_map_world.shape)
-
-    return normal_map_camera
-
-def trans_normal(normal, RT_w2c, RT_w2c_target):
-
-    # normal_world = camNormal2worldNormal(np.linalg.inv(RT_w2c[:3,:3]), normal)
-    # normal_target_cam = worldNormal2camNormal(RT_w2c_target[:3,:3], normal_world)
-
-    relative_RT = np.matmul(RT_w2c_target[:3,:3], np.linalg.inv(RT_w2c[:3,:3]))
-    return worldNormal2camNormal(relative_RT[:3,:3], normal)
-
-def trans_normal_complex(normal, RT_w2c, RT_w2c_rela_to_cond):
-    # camview -> world -> condview
-    normal_world = camNormal2worldNormal(np.linalg.inv(RT_w2c[:3,:3]), normal)
-    # debug_normal_world = normal2img(normal_world) 
-    
-    # relative_RT = np.matmul(RT_w2c_rela_to_cond[:3,:3], np.linalg.inv(RT_w2c[:3,:3]))
-    normal_target_cam = worldNormal2camNormal(RT_w2c_rela_to_cond[:3,:3], normal_world)
-    # normal_condview = normal2img(normal_target_cam) 
-    return normal_target_cam
-def img2normal(img):
-    return (img/255.)*2-1
-
-def normal2img(normal):
-    return np.uint8((normal*0.5+0.5)*255)
-
-def norm_normalize(normal, dim=-1):
-
-    normal = normal/(np.linalg.norm(normal, axis=dim, keepdims=True)+1e-6)
-
-    return normal
-
-def plot_grid_images(images, row, col, path=None):
-    import cv2
-    """
-    Args:
-        images: np.array [B, H, W, 3]
-        row:
-        col:
-        save_path:
-
-    Returns:
-
-    """
-    images = images.detach().cpu().numpy()
-    assert row * col == images.shape[0]
-    images = np.vstack([np.hstack(images[r * col:(r + 1) * col]) for r in range(row)])
-    if path:
-        cv2.imwrite(path, images[:,:,::-1] * 255)
-    return images
\ No newline at end of file
diff --git a/mvdiffusion/data/single_image_dataset.py b/mvdiffusion/data/single_image_dataset.py
deleted file mode 100644
index 855e37e8e456d558dbad21daae44b55631e9d2b4..0000000000000000000000000000000000000000
--- a/mvdiffusion/data/single_image_dataset.py
+++ /dev/null
@@ -1,249 +0,0 @@
-from typing import Dict
-import numpy as np
-from omegaconf import DictConfig, ListConfig
-import torch
-from torch.utils.data import Dataset
-from pathlib import Path
-import json
-from PIL import Image
-from torchvision import transforms
-from einops import rearrange
-from typing import Literal, Tuple, Optional, Any
-import cv2
-import random
-
-import json
-import os, sys
-import math
-
-from glob import glob
-
-import PIL.Image
-from .normal_utils import trans_normal, normal2img, img2normal
-import pdb
-from icecream import ic
-
-import cv2
-import numpy as np
-
-def add_margin(pil_img, color=0, size=256):
-    width, height = pil_img.size
-    result = Image.new(pil_img.mode, (size, size), color)
-    result.paste(pil_img, ((size - width) // 2, (size - height) // 2))
-    return result
-
-def scale_and_place_object(image, scale_factor):
-    assert np.shape(image)[-1]==4  # RGBA
-
-    # Extract the alpha channel (transparency) and the object (RGB channels)
-    alpha_channel = image[:, :, 3]
-
-    # Find the bounding box coordinates of the object
-    coords = cv2.findNonZero(alpha_channel)
-    x, y, width, height = cv2.boundingRect(coords)
-
-    # Calculate the scale factor for resizing
-    original_height, original_width = image.shape[:2]
-
-    if width > height:
-        size = width
-        original_size = original_width
-    else:
-        size = height
-        original_size = original_height
-
-    scale_factor = min(scale_factor, size / (original_size+0.0))
-
-    new_size = scale_factor * original_size
-    scale_factor = new_size / size
-
-    # Calculate the new size based on the scale factor
-    new_width = int(width * scale_factor)
-    new_height = int(height * scale_factor)
-
-    center_x = original_width // 2
-    center_y = original_height // 2
-
-    paste_x = center_x - (new_width // 2)
-    paste_y = center_y - (new_height // 2)
-
-    # Resize the object (RGB channels) to the new size
-    rescaled_object = cv2.resize(image[y:y+height, x:x+width], (new_width, new_height))
-
-    # Create a new RGBA image with the resized image
-    new_image = np.zeros((original_height, original_width, 4), dtype=np.uint8)
-
-    new_image[paste_y:paste_y + new_height, paste_x:paste_x + new_width] = rescaled_object
-
-    return new_image
-
-class SingleImageDataset(Dataset):
-    def __init__(self,
-        root_dir: str,
-        num_views: int,
-        img_wh: Tuple[int, int],
-        bg_color: str,
-        crop_size: int = 224,
-        single_image: Optional[PIL.Image.Image] = None,
-        num_validation_samples: Optional[int] = None,
-        filepaths: Optional[list] = None,
-        cond_type: Optional[str] = None,
-        prompt_embeds_path: Optional[str] = None,
-        gt_path: Optional[str] = None
-        ) -> None:
-        """Create a dataset from a folder of images.
-        If you pass in a root directory it will be searched for images
-        ending in ext (ext can be a list)
-        """
-        self.root_dir = root_dir
-        self.num_views = num_views
-        self.img_wh = img_wh
-        self.crop_size = crop_size
-        self.bg_color = bg_color
-        self.cond_type = cond_type
-        self.gt_path = gt_path
-
-        
-        if single_image is None:
-            if filepaths is None:
-                # Get a list of all files in the directory
-                file_list = os.listdir(self.root_dir)
-            else:
-                file_list = filepaths
-
-            # Filter the files that end with .png or .jpg
-            self.file_list = [file for file in file_list if file.endswith(('.png', '.jpg', '.webp'))]
-        else:
-            self.file_list = None
-
-        # load all images
-        self.all_images = []
-        self.all_alphas = []
-        bg_color = self.get_bg_color()
-
-        if single_image is not None:
-            image, alpha = self.load_image(None, bg_color, return_type='pt', Imagefile=single_image)
-            self.all_images.append(image)
-            self.all_alphas.append(alpha)
-        else:
-            for file in self.file_list:
-                print(os.path.join(self.root_dir, file))
-                image, alpha = self.load_image(os.path.join(self.root_dir, file), bg_color, return_type='pt')
-                self.all_images.append(image)
-                self.all_alphas.append(alpha)
-                
-            
-
-        self.all_images = self.all_images[:num_validation_samples]
-        self.all_alphas = self.all_alphas[:num_validation_samples]
-        ic(len(self.all_images))
-        
-        try:
-            self.normal_text_embeds = torch.load(f'{prompt_embeds_path}/normal_embeds.pt')
-            self.color_text_embeds = torch.load(f'{prompt_embeds_path}/clr_embeds.pt') # 4view
-        except:
-            self.color_text_embeds = torch.load(f'{prompt_embeds_path}/embeds.pt')
-            self.normal_text_embeds = None
-
-    def __len__(self):
-        return len(self.all_images)
-
-    def get_bg_color(self):
-        if self.bg_color == 'white':
-            bg_color = np.array([1., 1., 1.], dtype=np.float32)
-        elif self.bg_color == 'black':
-            bg_color = np.array([0., 0., 0.], dtype=np.float32)
-        elif self.bg_color == 'gray':
-            bg_color = np.array([0.5, 0.5, 0.5], dtype=np.float32)
-        elif self.bg_color == 'random':
-            bg_color = np.random.rand(3)
-        elif isinstance(self.bg_color, float):
-            bg_color = np.array([self.bg_color] * 3, dtype=np.float32)
-        else:
-            raise NotImplementedError
-        return bg_color
-    
-    
-    def load_image(self, img_path, bg_color, return_type='np', Imagefile=None):
-        # pil always returns uint8
-        if Imagefile is None:
-            image_input = Image.open(img_path)
-        else:
-            image_input = Imagefile
-        image_size = self.img_wh[0]
-
-        if self.crop_size!=-1:
-            alpha_np = np.asarray(image_input)[:, :, 3]
-            coords = np.stack(np.nonzero(alpha_np), 1)[:, (1, 0)]
-            min_x, min_y = np.min(coords, 0)
-            max_x, max_y = np.max(coords, 0)
-            ref_img_ = image_input.crop((min_x, min_y, max_x, max_y))
-            h, w = ref_img_.height, ref_img_.width
-            scale = self.crop_size / max(h, w)
-            h_, w_ = int(scale * h), int(scale * w)
-            ref_img_ = ref_img_.resize((w_, h_))
-            image_input = add_margin(ref_img_, size=image_size)
-        else:
-            image_input = add_margin(image_input, size=max(image_input.height, image_input.width))
-            image_input = image_input.resize((image_size, image_size))
-
-        # img = scale_and_place_object(img, self.scale_ratio)
-        img = np.array(image_input)
-        img = img.astype(np.float32) / 255. # [0, 1]
-        assert img.shape[-1] == 4 # RGBA
-
-        alpha = img[...,3:4]
-        img = img[...,:3] * alpha + bg_color * (1 - alpha)
-
-        if return_type == "np":
-            pass
-        elif return_type == "pt":
-            img = torch.from_numpy(img)
-            alpha = torch.from_numpy(alpha)
-        else:
-            raise NotImplementedError
-        
-        return img, alpha
-    
-
-    def __getitem__(self, index):
-        image = self.all_images[index%len(self.all_images)]
-        alpha = self.all_alphas[index%len(self.all_images)]
-        if self.file_list is not None:
-            filename = self.file_list[index%len(self.all_images)].replace(".png", "")
-        else:
-            filename = 'null'
-        img_tensors_in = [
-            image.permute(2, 0, 1)
-        ] * self.num_views
-
-        alpha_tensors_in = [
-            alpha.permute(2, 0, 1)
-        ] * self.num_views
-
-        img_tensors_in = torch.stack(img_tensors_in, dim=0).float() # (Nv, 3, H, W)
-        alpha_tensors_in = torch.stack(alpha_tensors_in, dim=0).float() # (Nv, 3, H, W)
-        
-        if self.gt_path is not None:
-            gt_image = self.gt_images[index%len(self.all_images)]
-            gt_alpha = self.gt_alpha[index%len(self.all_images)]
-            gt_img_tensors_in = [gt_image.permute(2, 0, 1) ] * self.num_views
-            gt_alpha_tensors_in = [gt_alpha.permute(2, 0, 1) ] * self.num_views
-            gt_img_tensors_in = torch.stack(gt_img_tensors_in, dim=0).float()
-            gt_alpha_tensors_in = torch.stack(gt_alpha_tensors_in, dim=0).float()
-                
-        normal_prompt_embeddings = self.normal_text_embeds if hasattr(self, 'normal_text_embeds') else None
-        color_prompt_embeddings = self.color_text_embeds if hasattr(self, 'color_text_embeds') else None
-        
-        out =  {
-            'imgs_in': img_tensors_in.unsqueeze(0),
-            'alphas': alpha_tensors_in.unsqueeze(0),
-            'normal_prompt_embeddings': normal_prompt_embeddings.unsqueeze(0),
-            'color_prompt_embeddings': color_prompt_embeddings.unsqueeze(0),
-            'filename': filename,
-            }
-            
-        return out
-
-        
-
diff --git a/mvdiffusion/models/transformer_mv2d_image.py b/mvdiffusion/models/transformer_mv2d_image.py
deleted file mode 100644
index 949530ef256aecbc51e35f5c040d16f31f4e5b93..0000000000000000000000000000000000000000
--- a/mvdiffusion/models/transformer_mv2d_image.py
+++ /dev/null
@@ -1,1029 +0,0 @@
-# Copyright 2023 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from dataclasses import dataclass
-from typing import Any, Dict, Optional
-
-import torch
-import torch.nn.functional as F
-from torch import nn
-
-from diffusers.configuration_utils import ConfigMixin, register_to_config
-from diffusers.models.embeddings import ImagePositionalEmbeddings
-from diffusers.utils import BaseOutput, deprecate
-from diffusers.utils.torch_utils import maybe_allow_in_graph
-from diffusers.models.attention import FeedForward, AdaLayerNorm, AdaLayerNormZero, Attention
-from diffusers.models.embeddings import PatchEmbed
-from diffusers.models.lora import LoRACompatibleConv, LoRACompatibleLinear
-from diffusers.models.modeling_utils import ModelMixin
-from diffusers.utils.import_utils import is_xformers_available
-
-from einops import rearrange, repeat
-import pdb
-import random
-
-
-if is_xformers_available():
-    import xformers
-    import xformers.ops
-else:
-    xformers = None
-
-def my_repeat(tensor, num_repeats):
-    """
-    Repeat a tensor along a given dimension
-    """
-    if len(tensor.shape) == 3:
-        return repeat(tensor,  "b d c -> (b v) d c", v=num_repeats)
-    elif len(tensor.shape) == 4:
-        return repeat(tensor,  "a b d c -> (a v) b d c", v=num_repeats)
-    
-
-@dataclass
-class TransformerMV2DModelOutput(BaseOutput):
-    """
-    The output of [`Transformer2DModel`].
-
-    Args:
-        sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` or `(batch size, num_vector_embeds - 1, num_latent_pixels)` if [`Transformer2DModel`] is discrete):
-            The hidden states output conditioned on the `encoder_hidden_states` input. If discrete, returns probability
-            distributions for the unnoised latent pixels.
-    """
-
-    sample: torch.FloatTensor
-
-
-class TransformerMV2DModel(ModelMixin, ConfigMixin):
-    """
-    A 2D Transformer model for image-like data.
-
-    Parameters:
-        num_attention_heads (`int`, *optional*, defaults to 16): The number of heads to use for multi-head attention.
-        attention_head_dim (`int`, *optional*, defaults to 88): The number of channels in each head.
-        in_channels (`int`, *optional*):
-            The number of channels in the input and output (specify if the input is **continuous**).
-        num_layers (`int`, *optional*, defaults to 1): The number of layers of Transformer blocks to use.
-        dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use.
-        cross_attention_dim (`int`, *optional*): The number of `encoder_hidden_states` dimensions to use.
-        sample_size (`int`, *optional*): The width of the latent images (specify if the input is **discrete**).
-            This is fixed during training since it is used to learn a number of position embeddings.
-        num_vector_embeds (`int`, *optional*):
-            The number of classes of the vector embeddings of the latent pixels (specify if the input is **discrete**).
-            Includes the class for the masked latent pixel.
-        activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to use in feed-forward.
-        num_embeds_ada_norm ( `int`, *optional*):
-            The number of diffusion steps used during training. Pass if at least one of the norm_layers is
-            `AdaLayerNorm`. This is fixed during training since it is used to learn a number of embeddings that are
-            added to the hidden states.
-
-            During inference, you can denoise for up to but not more steps than `num_embeds_ada_norm`.
-        attention_bias (`bool`, *optional*):
-            Configure if the `TransformerBlocks` attention should contain a bias parameter.
-    """
-
-    @register_to_config
-    def __init__(
-        self,
-        num_attention_heads: int = 16,
-        attention_head_dim: int = 88,
-        in_channels: Optional[int] = None,
-        out_channels: Optional[int] = None,
-        num_layers: int = 1,
-        dropout: float = 0.0,
-        norm_num_groups: int = 32,
-        cross_attention_dim: Optional[int] = None,
-        attention_bias: bool = False,
-        sample_size: Optional[int] = None,
-        num_vector_embeds: Optional[int] = None,
-        patch_size: Optional[int] = None,
-        activation_fn: str = "geglu",
-        num_embeds_ada_norm: Optional[int] = None,
-        use_linear_projection: bool = False,
-        only_cross_attention: bool = False,
-        upcast_attention: bool = False,
-        norm_type: str = "layer_norm",
-        norm_elementwise_affine: bool = True,
-        num_views: int = 1,
-        cd_attention_last: bool=False,
-        cd_attention_mid: bool=False,
-        multiview_attention: bool=True,
-        sparse_mv_attention: bool = False,
-        mvcd_attention: bool=False
-    ):
-        super().__init__()
-        self.use_linear_projection = use_linear_projection
-        self.num_attention_heads = num_attention_heads
-        self.attention_head_dim = attention_head_dim
-        inner_dim = num_attention_heads * attention_head_dim
-
-        # 1. Transformer2DModel can process both standard continuous images of shape `(batch_size, num_channels, width, height)` as well as quantized image embeddings of shape `(batch_size, num_image_vectors)`
-        # Define whether input is continuous or discrete depending on configuration
-        self.is_input_continuous = (in_channels is not None) and (patch_size is None)
-        self.is_input_vectorized = num_vector_embeds is not None
-        self.is_input_patches = in_channels is not None and patch_size is not None
-
-        if norm_type == "layer_norm" and num_embeds_ada_norm is not None:
-            deprecation_message = (
-                f"The configuration file of this model: {self.__class__} is outdated. `norm_type` is either not set or"
-                " incorrectly set to `'layer_norm'`.Make sure to set `norm_type` to `'ada_norm'` in the config."
-                " Please make sure to update the config accordingly as leaving `norm_type` might led to incorrect"
-                " results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it"
-                " would be very nice if you could open a Pull request for the `transformer/config.json` file"
-            )
-            deprecate("norm_type!=num_embeds_ada_norm", "1.0.0", deprecation_message, standard_warn=False)
-            norm_type = "ada_norm"
-
-        if self.is_input_continuous and self.is_input_vectorized:
-            raise ValueError(
-                f"Cannot define both `in_channels`: {in_channels} and `num_vector_embeds`: {num_vector_embeds}. Make"
-                " sure that either `in_channels` or `num_vector_embeds` is None."
-            )
-        elif self.is_input_vectorized and self.is_input_patches:
-            raise ValueError(
-                f"Cannot define both `num_vector_embeds`: {num_vector_embeds} and `patch_size`: {patch_size}. Make"
-                " sure that either `num_vector_embeds` or `num_patches` is None."
-            )
-        elif not self.is_input_continuous and not self.is_input_vectorized and not self.is_input_patches:
-            raise ValueError(
-                f"Has to define `in_channels`: {in_channels}, `num_vector_embeds`: {num_vector_embeds}, or patch_size:"
-                f" {patch_size}. Make sure that `in_channels`, `num_vector_embeds` or `num_patches` is not None."
-            )
-
-        # 2. Define input layers
-        if self.is_input_continuous:
-            self.in_channels = in_channels
-
-            self.norm = torch.nn.GroupNorm(num_groups=norm_num_groups, num_channels=in_channels, eps=1e-6, affine=True)
-            if use_linear_projection:
-                self.proj_in = LoRACompatibleLinear(in_channels, inner_dim)
-            else:
-                self.proj_in = LoRACompatibleConv(in_channels, inner_dim, kernel_size=1, stride=1, padding=0)
-        elif self.is_input_vectorized:
-            assert sample_size is not None, "Transformer2DModel over discrete input must provide sample_size"
-            assert num_vector_embeds is not None, "Transformer2DModel over discrete input must provide num_embed"
-
-            self.height = sample_size
-            self.width = sample_size
-            self.num_vector_embeds = num_vector_embeds
-            self.num_latent_pixels = self.height * self.width
-
-            self.latent_image_embedding = ImagePositionalEmbeddings(
-                num_embed=num_vector_embeds, embed_dim=inner_dim, height=self.height, width=self.width
-            )
-        elif self.is_input_patches:
-            assert sample_size is not None, "Transformer2DModel over patched input must provide sample_size"
-
-            self.height = sample_size
-            self.width = sample_size
-
-            self.patch_size = patch_size
-            self.pos_embed = PatchEmbed(
-                height=sample_size,
-                width=sample_size,
-                patch_size=patch_size,
-                in_channels=in_channels,
-                embed_dim=inner_dim,
-            )
-
-        # 3. Define transformers blocks
-        self.transformer_blocks = nn.ModuleList(
-            [
-                BasicMVTransformerBlock(
-                    inner_dim,
-                    num_attention_heads,
-                    attention_head_dim,
-                    dropout=dropout,
-                    cross_attention_dim=cross_attention_dim,
-                    activation_fn=activation_fn,
-                    num_embeds_ada_norm=num_embeds_ada_norm,
-                    attention_bias=attention_bias,
-                    only_cross_attention=only_cross_attention,
-                    upcast_attention=upcast_attention,
-                    norm_type=norm_type,
-                    norm_elementwise_affine=norm_elementwise_affine,
-                    num_views=num_views,
-                    cd_attention_last=cd_attention_last,
-                    cd_attention_mid=cd_attention_mid,
-                    multiview_attention=multiview_attention,
-                    sparse_mv_attention=sparse_mv_attention,
-                    mvcd_attention=mvcd_attention
-                )
-                for d in range(num_layers)
-            ]
-        )
-
-        # 4. Define output layers
-        self.out_channels = in_channels if out_channels is None else out_channels
-        if self.is_input_continuous:
-            # TODO: should use out_channels for continuous projections
-            if use_linear_projection:
-                self.proj_out = LoRACompatibleLinear(inner_dim, in_channels)
-            else:
-                self.proj_out = LoRACompatibleConv(inner_dim, in_channels, kernel_size=1, stride=1, padding=0)
-        elif self.is_input_vectorized:
-            self.norm_out = nn.LayerNorm(inner_dim)
-            self.out = nn.Linear(inner_dim, self.num_vector_embeds - 1)
-        elif self.is_input_patches:
-            self.norm_out = nn.LayerNorm(inner_dim, elementwise_affine=False, eps=1e-6)
-            self.proj_out_1 = nn.Linear(inner_dim, 2 * inner_dim)
-            self.proj_out_2 = nn.Linear(inner_dim, patch_size * patch_size * self.out_channels)
-
-    def forward(
-        self,
-        hidden_states: torch.Tensor,
-        encoder_hidden_states: Optional[torch.Tensor] = None,
-        timestep: Optional[torch.LongTensor] = None,
-        class_labels: Optional[torch.LongTensor] = None,
-        cross_attention_kwargs: Dict[str, Any] = None,
-        attention_mask: Optional[torch.Tensor] = None,
-        encoder_attention_mask: Optional[torch.Tensor] = None,
-        return_dict: bool = True,
-    ):
-        """
-        The [`Transformer2DModel`] forward method.
-
-        Args:
-            hidden_states (`torch.LongTensor` of shape `(batch size, num latent pixels)` if discrete, `torch.FloatTensor` of shape `(batch size, channel, height, width)` if continuous):
-                Input `hidden_states`.
-            encoder_hidden_states ( `torch.FloatTensor` of shape `(batch size, sequence len, embed dims)`, *optional*):
-                Conditional embeddings for cross attention layer. If not given, cross-attention defaults to
-                self-attention.
-            timestep ( `torch.LongTensor`, *optional*):
-                Used to indicate denoising step. Optional timestep to be applied as an embedding in `AdaLayerNorm`.
-            class_labels ( `torch.LongTensor` of shape `(batch size, num classes)`, *optional*):
-                Used to indicate class labels conditioning. Optional class labels to be applied as an embedding in
-                `AdaLayerZeroNorm`.
-            encoder_attention_mask ( `torch.Tensor`, *optional*):
-                Cross-attention mask applied to `encoder_hidden_states`. Two formats supported:
-
-                    * Mask `(batch, sequence_length)` True = keep, False = discard.
-                    * Bias `(batch, 1, sequence_length)` 0 = keep, -10000 = discard.
-
-                If `ndim == 2`: will be interpreted as a mask, then converted into a bias consistent with the format
-                above. This bias will be added to the cross-attention scores.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~models.unet_2d_condition.UNet2DConditionOutput`] instead of a plain
-                tuple.
-
-        Returns:
-            If `return_dict` is True, an [`~models.transformer_2d.Transformer2DModelOutput`] is returned, otherwise a
-            `tuple` where the first element is the sample tensor.
-        """
-        # ensure attention_mask is a bias, and give it a singleton query_tokens dimension.
-        #   we may have done this conversion already, e.g. if we came here via UNet2DConditionModel#forward.
-        #   we can tell by counting dims; if ndim == 2: it's a mask rather than a bias.
-        # expects mask of shape:
-        #   [batch, key_tokens]
-        # adds singleton query_tokens dimension:
-        #   [batch,                    1, key_tokens]
-        # this helps to broadcast it as a bias over attention scores, which will be in one of the following shapes:
-        #   [batch,  heads, query_tokens, key_tokens] (e.g. torch sdp attn)
-        #   [batch * heads, query_tokens, key_tokens] (e.g. xformers or classic attn)
-        if attention_mask is not None and attention_mask.ndim == 2:
-            # assume that mask is expressed as:
-            #   (1 = keep,      0 = discard)
-            # convert mask into a bias that can be added to attention scores:
-            #       (keep = +0,     discard = -10000.0)
-            attention_mask = (1 - attention_mask.to(hidden_states.dtype)) * -10000.0
-            attention_mask = attention_mask.unsqueeze(1)
-
-        # convert encoder_attention_mask to a bias the same way we do for attention_mask
-        if encoder_attention_mask is not None and encoder_attention_mask.ndim == 2:
-            encoder_attention_mask = (1 - encoder_attention_mask.to(hidden_states.dtype)) * -10000.0
-            encoder_attention_mask = encoder_attention_mask.unsqueeze(1)
-
-        # 1. Input
-        if self.is_input_continuous:
-            batch, _, height, width = hidden_states.shape
-            residual = hidden_states
-
-            hidden_states = self.norm(hidden_states)
-            if not self.use_linear_projection:
-                hidden_states = self.proj_in(hidden_states)
-                inner_dim = hidden_states.shape[1]
-                hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
-            else:
-                inner_dim = hidden_states.shape[1]
-                hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
-                hidden_states = self.proj_in(hidden_states)
-        elif self.is_input_vectorized:
-            hidden_states = self.latent_image_embedding(hidden_states)
-        elif self.is_input_patches:
-            hidden_states = self.pos_embed(hidden_states)
-
-        # 2. Blocks
-        for block in self.transformer_blocks:
-            hidden_states = block(
-                hidden_states,
-                attention_mask=attention_mask,
-                encoder_hidden_states=encoder_hidden_states,
-                encoder_attention_mask=encoder_attention_mask,
-                timestep=timestep,
-                cross_attention_kwargs=cross_attention_kwargs,
-                class_labels=class_labels,
-            )
-
-        # 3. Output
-        if self.is_input_continuous:
-            if not self.use_linear_projection:
-                hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()
-                hidden_states = self.proj_out(hidden_states)
-            else:
-                hidden_states = self.proj_out(hidden_states)
-                hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()
-
-            output = hidden_states + residual
-        elif self.is_input_vectorized:
-            hidden_states = self.norm_out(hidden_states)
-            logits = self.out(hidden_states)
-            # (batch, self.num_vector_embeds - 1, self.num_latent_pixels)
-            logits = logits.permute(0, 2, 1)
-
-            # log(p(x_0))
-            output = F.log_softmax(logits.double(), dim=1).float()
-        elif self.is_input_patches:
-            # TODO: cleanup!
-            conditioning = self.transformer_blocks[0].norm1.emb(
-                timestep, class_labels, hidden_dtype=hidden_states.dtype
-            )
-            shift, scale = self.proj_out_1(F.silu(conditioning)).chunk(2, dim=1)
-            hidden_states = self.norm_out(hidden_states) * (1 + scale[:, None]) + shift[:, None]
-            hidden_states = self.proj_out_2(hidden_states)
-
-            # unpatchify
-            height = width = int(hidden_states.shape[1] ** 0.5)
-            hidden_states = hidden_states.reshape(
-                shape=(-1, height, width, self.patch_size, self.patch_size, self.out_channels)
-            )
-            hidden_states = torch.einsum("nhwpqc->nchpwq", hidden_states)
-            output = hidden_states.reshape(
-                shape=(-1, self.out_channels, height * self.patch_size, width * self.patch_size)
-            )
-
-        if not return_dict:
-            return (output,)
-
-        return TransformerMV2DModelOutput(sample=output)
-
-
-@maybe_allow_in_graph
-class BasicMVTransformerBlock(nn.Module):
-    r"""
-    A basic Transformer block.
-
-    Parameters:
-        dim (`int`): The number of channels in the input and output.
-        num_attention_heads (`int`): The number of heads to use for multi-head attention.
-        attention_head_dim (`int`): The number of channels in each head.
-        dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use.
-        cross_attention_dim (`int`, *optional*): The size of the encoder_hidden_states vector for cross attention.
-        only_cross_attention (`bool`, *optional*):
-            Whether to use only cross-attention layers. In this case two cross attention layers are used.
-        double_self_attention (`bool`, *optional*):
-            Whether to use two self-attention layers. In this case no cross attention layers are used.
-        activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to be used in feed-forward.
-        num_embeds_ada_norm (:
-            obj: `int`, *optional*): The number of diffusion steps used during training. See `Transformer2DModel`.
-        attention_bias (:
-            obj: `bool`, *optional*, defaults to `False`): Configure if the attentions should contain a bias parameter.
-    """
-
-    def __init__(
-        self,
-        dim: int,
-        num_attention_heads: int,
-        attention_head_dim: int,
-        dropout=0.0,
-        cross_attention_dim: Optional[int] = None,
-        activation_fn: str = "geglu",
-        num_embeds_ada_norm: Optional[int] = None,
-        attention_bias: bool = False,
-        only_cross_attention: bool = False,
-        double_self_attention: bool = False,
-        upcast_attention: bool = False,
-        norm_elementwise_affine: bool = True,
-        norm_type: str = "layer_norm",
-        final_dropout: bool = False,
-        num_views: int = 1,
-        cd_attention_last: bool = False,
-        cd_attention_mid: bool = False,
-        multiview_attention: bool = True,
-        sparse_mv_attention: bool = False,
-        mvcd_attention: bool = False
-    ):
-        super().__init__()
-        self.only_cross_attention = only_cross_attention
-
-        self.use_ada_layer_norm_zero = (num_embeds_ada_norm is not None) and norm_type == "ada_norm_zero"
-        self.use_ada_layer_norm = (num_embeds_ada_norm is not None) and norm_type == "ada_norm"
-
-        if norm_type in ("ada_norm", "ada_norm_zero") and num_embeds_ada_norm is None:
-            raise ValueError(
-                f"`norm_type` is set to {norm_type}, but `num_embeds_ada_norm` is not defined. Please make sure to"
-                f" define `num_embeds_ada_norm` if setting `norm_type` to {norm_type}."
-            )
-
-        # Define 3 blocks. Each block has its own normalization layer.
-        # 1. Self-Attn
-        if self.use_ada_layer_norm:
-            self.norm1 = AdaLayerNorm(dim, num_embeds_ada_norm)
-        elif self.use_ada_layer_norm_zero:
-            self.norm1 = AdaLayerNormZero(dim, num_embeds_ada_norm)
-        else:
-            self.norm1 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-
-        self.multiview_attention = multiview_attention
-        self.sparse_mv_attention = sparse_mv_attention
-        self.mvcd_attention = mvcd_attention
-        
-        self.attn1 = CustomAttention(
-            query_dim=dim,
-            heads=num_attention_heads,
-            dim_head=attention_head_dim,
-            dropout=dropout,
-            bias=attention_bias,
-            cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-            upcast_attention=upcast_attention,
-            processor=MVAttnProcessor()
-        )
-
-        # 2. Cross-Attn
-        if cross_attention_dim is not None or double_self_attention:
-            # We currently only use AdaLayerNormZero for self attention where there will only be one attention block.
-            # I.e. the number of returned modulation chunks from AdaLayerZero would not make sense if returned during
-            # the second cross attention block.
-            self.norm2 = (
-                AdaLayerNorm(dim, num_embeds_ada_norm)
-                if self.use_ada_layer_norm
-                else nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-            )
-            self.attn2 = Attention(
-                query_dim=dim,
-                cross_attention_dim=cross_attention_dim if not double_self_attention else None,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                upcast_attention=upcast_attention,
-            )  # is self-attn if encoder_hidden_states is none
-        else:
-            self.norm2 = None
-            self.attn2 = None
-
-        # 3. Feed-forward
-        self.norm3 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-        self.ff = FeedForward(dim, dropout=dropout, activation_fn=activation_fn, final_dropout=final_dropout)
-
-        # let chunk size default to None
-        self._chunk_size = None
-        self._chunk_dim = 0
-
-        self.num_views = num_views
-
-        self.cd_attention_last = cd_attention_last
-
-        if self.cd_attention_last:
-            # Joint task -Attn
-            self.attn_joint_last = CustomJointAttention(
-                query_dim=dim,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-                upcast_attention=upcast_attention,
-                processor=JointAttnProcessor()
-            )
-            nn.init.zeros_(self.attn_joint_last.to_out[0].weight.data)
-            self.norm_joint_last = AdaLayerNorm(dim, num_embeds_ada_norm) if self.use_ada_layer_norm else nn.LayerNorm(dim)
-
-
-        self.cd_attention_mid = cd_attention_mid
-
-        if self.cd_attention_mid:
-            print("cross-domain attn in the middle")
-            # Joint task -Attn
-            self.attn_joint_mid = CustomJointAttention(
-                query_dim=dim,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-                upcast_attention=upcast_attention,
-                processor=JointAttnProcessor()
-            )
-            nn.init.zeros_(self.attn_joint_mid.to_out[0].weight.data)
-            self.norm_joint_mid = AdaLayerNorm(dim, num_embeds_ada_norm) if self.use_ada_layer_norm else nn.LayerNorm(dim)
-
-    def set_chunk_feed_forward(self, chunk_size: Optional[int], dim: int):
-        # Sets chunk feed-forward
-        self._chunk_size = chunk_size
-        self._chunk_dim = dim
-
-    def forward(
-        self,
-        hidden_states: torch.FloatTensor,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        encoder_hidden_states: Optional[torch.FloatTensor] = None,
-        encoder_attention_mask: Optional[torch.FloatTensor] = None,
-        timestep: Optional[torch.LongTensor] = None,
-        cross_attention_kwargs: Dict[str, Any] = None,
-        class_labels: Optional[torch.LongTensor] = None,
-    ):
-        assert attention_mask is None # not supported yet
-        # Notice that normalization is always applied before the real computation in the following blocks.
-        # 1. Self-Attention
-        if self.use_ada_layer_norm:
-            norm_hidden_states = self.norm1(hidden_states, timestep)
-        elif self.use_ada_layer_norm_zero:
-            norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(
-                hidden_states, timestep, class_labels, hidden_dtype=hidden_states.dtype
-            )
-        else:
-            norm_hidden_states = self.norm1(hidden_states)
-
-        cross_attention_kwargs = cross_attention_kwargs if cross_attention_kwargs is not None else {}
-
-        attn_output = self.attn1(
-            norm_hidden_states,
-            encoder_hidden_states=encoder_hidden_states if self.only_cross_attention else None,
-            attention_mask=attention_mask,
-            num_views=self.num_views,
-            multiview_attention=self.multiview_attention,
-            sparse_mv_attention=self.sparse_mv_attention,
-            mvcd_attention=self.mvcd_attention,
-            **cross_attention_kwargs,
-        )
-
-
-        if self.use_ada_layer_norm_zero:
-            attn_output = gate_msa.unsqueeze(1) * attn_output
-        hidden_states = attn_output + hidden_states
-
-        # joint attention twice
-        if self.cd_attention_mid:
-            norm_hidden_states = (
-                self.norm_joint_mid(hidden_states, timestep) if self.use_ada_layer_norm else self.norm_joint_mid(hidden_states)
-            )
-            hidden_states = self.attn_joint_mid(norm_hidden_states) + hidden_states
-
-        # 2. Cross-Attention
-        if self.attn2 is not None:
-            norm_hidden_states = (
-                self.norm2(hidden_states, timestep) if self.use_ada_layer_norm else self.norm2(hidden_states)
-            )
-
-            attn_output = self.attn2(
-                norm_hidden_states,
-                encoder_hidden_states=encoder_hidden_states,
-                attention_mask=encoder_attention_mask,
-                **cross_attention_kwargs,
-            )
-            hidden_states = attn_output + hidden_states
-
-        # 3. Feed-forward
-        norm_hidden_states = self.norm3(hidden_states)
-
-        if self.use_ada_layer_norm_zero:
-            norm_hidden_states = norm_hidden_states * (1 + scale_mlp[:, None]) + shift_mlp[:, None]
-
-        if self._chunk_size is not None:
-            # "feed_forward_chunk_size" can be used to save memory
-            if norm_hidden_states.shape[self._chunk_dim] % self._chunk_size != 0:
-                raise ValueError(
-                    f"`hidden_states` dimension to be chunked: {norm_hidden_states.shape[self._chunk_dim]} has to be divisible by chunk size: {self._chunk_size}. Make sure to set an appropriate `chunk_size` when calling `unet.enable_forward_chunking`."
-                )
-
-            num_chunks = norm_hidden_states.shape[self._chunk_dim] // self._chunk_size
-            ff_output = torch.cat(
-                [self.ff(hid_slice) for hid_slice in norm_hidden_states.chunk(num_chunks, dim=self._chunk_dim)],
-                dim=self._chunk_dim,
-            )
-        else:
-            ff_output = self.ff(norm_hidden_states)
-
-        if self.use_ada_layer_norm_zero:
-            ff_output = gate_mlp.unsqueeze(1) * ff_output
-
-        hidden_states = ff_output + hidden_states
-
-        if self.cd_attention_last:
-            norm_hidden_states = (
-                self.norm_joint_last(hidden_states, timestep) if self.use_ada_layer_norm else self.norm_joint_last(hidden_states)
-            )
-            hidden_states = self.attn_joint_last(norm_hidden_states) + hidden_states
-
-        return hidden_states
-    
-
-class CustomAttention(Attention):
-    def set_use_memory_efficient_attention_xformers(
-        self, use_memory_efficient_attention_xformers: bool, *args, **kwargs
-    ):
-        processor = XFormersMVAttnProcessor()
-        self.set_processor(processor)
-        # print("using xformers attention processor")
-
-
-class CustomJointAttention(Attention):
-    def set_use_memory_efficient_attention_xformers(
-        self, use_memory_efficient_attention_xformers: bool, *args, **kwargs
-    ):
-        processor = XFormersJointAttnProcessor()
-        self.set_processor(processor)
-        # print("using xformers attention processor")
-
-class MVAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_views=1,
-        multiview_attention=True
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        # print('query', query.shape, 'key', key.shape, 'value', value.shape)
-        #([bx4, 1024, 320]) key torch.Size([bx4, 1024, 320]) value torch.Size([bx4, 1024, 320])
-        # pdb.set_trace()
-        # multi-view self-attention
-        if multiview_attention:
-            if num_views <= 6:
-                # after use xformer; possible to train with 6 views
-                key = rearrange(key, "(b t) d c -> b (t d) c", t=num_views).repeat_interleave(num_views, dim=0)
-                value = rearrange(value, "(b t) d c -> b (t d) c", t=num_views).repeat_interleave(num_views, dim=0)
-            else:# apply sparse attention
-                pass
-                # print("use sparse attention")  
-                # # seems that the sparse random sampling cause problems
-                # # don't use random sampling, just fix the indexes
-                # onekey = rearrange(key, "(b t) d c -> b t d c", t=num_views) 
-                # onevalue = rearrange(value, "(b t) d c -> b t d c", t=num_views)
-                # allkeys = []
-                # allvalues = []
-                # all_indexes = {
-                #     0 : [0, 2, 3, 4],
-                #     1: [0, 1, 3, 5],
-                #     2: [0, 2, 3, 4],
-                #     3: [0, 2, 3, 4],
-                #     4: [0, 2, 3, 4],
-                #     5: [0, 1, 3, 5]
-                # }
-                # for jj in range(num_views):
-                #     # valid_index = [x for x in range(0, num_views) if x!= jj]
-                #     # indexes = random.sample(valid_index, 3) + [jj] + [0]
-                #     indexes = all_indexes[jj]
-
-                #     indexes = torch.tensor(indexes).long().to(key.device)
-                #     allkeys.append(onekey[:, indexes])
-                #     allvalues.append(onevalue[:, indexes])
-                # keys = torch.stack(allkeys, dim=1) # checked, should be dim=1
-                # values = torch.stack(allvalues, dim=1) 
-                # key = rearrange(keys, 'b t f d c -> (b t) (f d) c')
-                # value = rearrange(values, 'b t f d c -> (b t) (f d) c')
-
-
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-        
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class XFormersMVAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_views=1.,
-        multiview_attention=True,
-        sparse_mv_attention=False,
-        mvcd_attention=False,
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        # from yuancheng; here attention_mask is None
-        if attention_mask is not None:
-            # expand our mask's singleton query_tokens dimension:
-            #   [batch*heads,            1, key_tokens] ->
-            #   [batch*heads, query_tokens, key_tokens]
-            # so that it can be added as a bias onto the attention scores that xformers computes:
-            #   [batch*heads, query_tokens, key_tokens]
-            # we do this explicitly because xformers doesn't broadcast the singleton dimension for us.
-            _, query_tokens, _ = hidden_states.shape
-            attention_mask = attention_mask.expand(-1, query_tokens, -1)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key_raw = attn.to_k(encoder_hidden_states)
-        value_raw = attn.to_v(encoder_hidden_states)
-
-        # print('query', query.shape, 'key', key.shape, 'value', value.shape)
-        #([bx4, 1024, 320]) key torch.Size([bx4, 1024, 320]) value torch.Size([bx4, 1024, 320])
-        # pdb.set_trace()
-        # multi-view self-attention
-        if multiview_attention:
-            if not sparse_mv_attention:
-                key = my_repeat(rearrange(key_raw, "(b t) d c -> b (t d) c", t=num_views), num_views)
-                value = my_repeat(rearrange(value_raw, "(b t) d c -> b (t d) c", t=num_views), num_views)
-            else:
-                key_front = my_repeat(rearrange(key_raw, "(b t) d c -> b t d c", t=num_views)[:, 0, :, :], num_views) # [(b t), d, c]
-                value_front = my_repeat(rearrange(value_raw, "(b t) d c -> b t d c", t=num_views)[:, 0, :, :], num_views)
-                key = torch.cat([key_front, key_raw], dim=1) # shape (b t) (2 d) c
-                value = torch.cat([value_front, value_raw], dim=1)
-
-            if mvcd_attention:
-                # memory efficient, cross domain attention
-                key_0, key_1 = torch.chunk(key_raw, dim=0, chunks=2)  # keys shape (b t) d c
-                value_0, value_1 = torch.chunk(value_raw, dim=0, chunks=2)
-                key_cross = torch.concat([key_1, key_0], dim=0)
-                value_cross = torch.concat([value_1, value_0], dim=0) #  shape (b t) d c
-                key = torch.cat([key, key_cross], dim=1)
-                value = torch.cat([value, value_cross], dim=1)  #  shape (b t) (t+1 d) c
-        else:
-            # print("don't use multiview attention.")
-            key = key_raw
-            value = value_raw
-
-        query = attn.head_to_batch_dim(query)
-        key = attn.head_to_batch_dim(key)
-        value = attn.head_to_batch_dim(value)
-
-        hidden_states = xformers.ops.memory_efficient_attention(query, key, value, attn_bias=attention_mask)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-
-class XFormersJointAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_tasks=2
-    ):
-        
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        # from yuancheng; here attention_mask is None
-        if attention_mask is not None:
-            # expand our mask's singleton query_tokens dimension:
-            #   [batch*heads,            1, key_tokens] ->
-            #   [batch*heads, query_tokens, key_tokens]
-            # so that it can be added as a bias onto the attention scores that xformers computes:
-            #   [batch*heads, query_tokens, key_tokens]
-            # we do this explicitly because xformers doesn't broadcast the singleton dimension for us.
-            _, query_tokens, _ = hidden_states.shape
-            attention_mask = attention_mask.expand(-1, query_tokens, -1)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        assert num_tasks == 2  # only support two tasks now
-
-        key_0, key_1 = torch.chunk(key, dim=0, chunks=2)  # keys shape (b t) d c
-        value_0, value_1 = torch.chunk(value, dim=0, chunks=2)
-        key = torch.cat([key_0, key_1], dim=1)  # (b t) 2d c
-        value = torch.cat([value_0, value_1], dim=1)  # (b t) 2d c
-        key = torch.cat([key]*2, dim=0)   # ( 2 b t) 2d c
-        value = torch.cat([value]*2, dim=0)  # (2 b t) 2d c
-
-        
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-
-        hidden_states = xformers.ops.memory_efficient_attention(query, key, value, attn_bias=attention_mask)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class JointAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_tasks=2
-    ):
-        
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        assert num_tasks == 2  # only support two tasks now
-
-        key_0, key_1 = torch.chunk(key, dim=0, chunks=2)  # keys shape (b t) d c
-        value_0, value_1 = torch.chunk(value, dim=0, chunks=2)
-        key = torch.cat([key_0, key_1], dim=1)  # (b t) 2d c
-        value = torch.cat([value_0, value_1], dim=1)  # (b t) 2d c
-        key = torch.cat([key]*2, dim=0)   # ( 2 b t) 2d c
-        value = torch.cat([value]*2, dim=0)  # (2 b t) 2d c
-
-        
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-    
-
diff --git a/mvdiffusion/models/transformer_mv2d_rowwise.py b/mvdiffusion/models/transformer_mv2d_rowwise.py
deleted file mode 100644
index 34721dfb26bf6177e7b48b9cf2e6b454d87816f0..0000000000000000000000000000000000000000
--- a/mvdiffusion/models/transformer_mv2d_rowwise.py
+++ /dev/null
@@ -1,978 +0,0 @@
-# Copyright 2023 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from dataclasses import dataclass
-from typing import Any, Dict, Optional
-
-import torch
-import torch.nn.functional as F
-from torch import nn
-
-from diffusers.configuration_utils import ConfigMixin, register_to_config
-from diffusers.models.embeddings import ImagePositionalEmbeddings
-from diffusers.utils import BaseOutput, deprecate
-from diffusers.utils.torch_utils import maybe_allow_in_graph
-from diffusers.models.attention import FeedForward, AdaLayerNorm, AdaLayerNormZero, Attention
-from diffusers.models.embeddings import PatchEmbed
-from diffusers.models.lora import LoRACompatibleConv, LoRACompatibleLinear
-from diffusers.models.modeling_utils import ModelMixin
-from diffusers.utils.import_utils import is_xformers_available
-
-from einops import rearrange
-import pdb
-import random
-import math
-
-
-if is_xformers_available():
-    import xformers
-    import xformers.ops
-else:
-    xformers = None
-
-
-@dataclass
-class TransformerMV2DModelOutput(BaseOutput):
-    """
-    The output of [`Transformer2DModel`].
-
-    Args:
-        sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` or `(batch size, num_vector_embeds - 1, num_latent_pixels)` if [`Transformer2DModel`] is discrete):
-            The hidden states output conditioned on the `encoder_hidden_states` input. If discrete, returns probability
-            distributions for the unnoised latent pixels.
-    """
-
-    sample: torch.FloatTensor
-
-
-class TransformerMV2DModel(ModelMixin, ConfigMixin):
-    """
-    A 2D Transformer model for image-like data.
-
-    Parameters:
-        num_attention_heads (`int`, *optional*, defaults to 16): The number of heads to use for multi-head attention.
-        attention_head_dim (`int`, *optional*, defaults to 88): The number of channels in each head.
-        in_channels (`int`, *optional*):
-            The number of channels in the input and output (specify if the input is **continuous**).
-        num_layers (`int`, *optional*, defaults to 1): The number of layers of Transformer blocks to use.
-        dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use.
-        cross_attention_dim (`int`, *optional*): The number of `encoder_hidden_states` dimensions to use.
-        sample_size (`int`, *optional*): The width of the latent images (specify if the input is **discrete**).
-            This is fixed during training since it is used to learn a number of position embeddings.
-        num_vector_embeds (`int`, *optional*):
-            The number of classes of the vector embeddings of the latent pixels (specify if the input is **discrete**).
-            Includes the class for the masked latent pixel.
-        activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to use in feed-forward.
-        num_embeds_ada_norm ( `int`, *optional*):
-            The number of diffusion steps used during training. Pass if at least one of the norm_layers is
-            `AdaLayerNorm`. This is fixed during training since it is used to learn a number of embeddings that are
-            added to the hidden states.
-
-            During inference, you can denoise for up to but not more steps than `num_embeds_ada_norm`.
-        attention_bias (`bool`, *optional*):
-            Configure if the `TransformerBlocks` attention should contain a bias parameter.
-    """
-
-    @register_to_config
-    def __init__(
-        self,
-        num_attention_heads: int = 16,
-        attention_head_dim: int = 88,
-        in_channels: Optional[int] = None,
-        out_channels: Optional[int] = None,
-        num_layers: int = 1,
-        dropout: float = 0.0,
-        norm_num_groups: int = 32,
-        cross_attention_dim: Optional[int] = None,
-        attention_bias: bool = False,
-        sample_size: Optional[int] = None,
-        num_vector_embeds: Optional[int] = None,
-        patch_size: Optional[int] = None,
-        activation_fn: str = "geglu",
-        num_embeds_ada_norm: Optional[int] = None,
-        use_linear_projection: bool = False,
-        only_cross_attention: bool = False,
-        upcast_attention: bool = False,
-        norm_type: str = "layer_norm",
-        norm_elementwise_affine: bool = True,
-        num_views: int = 1,
-        cd_attention_last: bool=False,
-        cd_attention_mid: bool=False,
-        multiview_attention: bool=True,
-        sparse_mv_attention: bool = True, # not used
-        mvcd_attention: bool=False
-    ):
-        super().__init__()
-        self.use_linear_projection = use_linear_projection
-        self.num_attention_heads = num_attention_heads
-        self.attention_head_dim = attention_head_dim
-        inner_dim = num_attention_heads * attention_head_dim
-
-        # 1. Transformer2DModel can process both standard continuous images of shape `(batch_size, num_channels, width, height)` as well as quantized image embeddings of shape `(batch_size, num_image_vectors)`
-        # Define whether input is continuous or discrete depending on configuration
-        self.is_input_continuous = (in_channels is not None) and (patch_size is None)
-        self.is_input_vectorized = num_vector_embeds is not None
-        self.is_input_patches = in_channels is not None and patch_size is not None
-
-        if norm_type == "layer_norm" and num_embeds_ada_norm is not None:
-            deprecation_message = (
-                f"The configuration file of this model: {self.__class__} is outdated. `norm_type` is either not set or"
-                " incorrectly set to `'layer_norm'`.Make sure to set `norm_type` to `'ada_norm'` in the config."
-                " Please make sure to update the config accordingly as leaving `norm_type` might led to incorrect"
-                " results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it"
-                " would be very nice if you could open a Pull request for the `transformer/config.json` file"
-            )
-            deprecate("norm_type!=num_embeds_ada_norm", "1.0.0", deprecation_message, standard_warn=False)
-            norm_type = "ada_norm"
-
-        if self.is_input_continuous and self.is_input_vectorized:
-            raise ValueError(
-                f"Cannot define both `in_channels`: {in_channels} and `num_vector_embeds`: {num_vector_embeds}. Make"
-                " sure that either `in_channels` or `num_vector_embeds` is None."
-            )
-        elif self.is_input_vectorized and self.is_input_patches:
-            raise ValueError(
-                f"Cannot define both `num_vector_embeds`: {num_vector_embeds} and `patch_size`: {patch_size}. Make"
-                " sure that either `num_vector_embeds` or `num_patches` is None."
-            )
-        elif not self.is_input_continuous and not self.is_input_vectorized and not self.is_input_patches:
-            raise ValueError(
-                f"Has to define `in_channels`: {in_channels}, `num_vector_embeds`: {num_vector_embeds}, or patch_size:"
-                f" {patch_size}. Make sure that `in_channels`, `num_vector_embeds` or `num_patches` is not None."
-            )
-
-        # 2. Define input layers
-        if self.is_input_continuous:
-            self.in_channels = in_channels
-
-            self.norm = torch.nn.GroupNorm(num_groups=norm_num_groups, num_channels=in_channels, eps=1e-6, affine=True)
-            if use_linear_projection:
-                self.proj_in = LoRACompatibleLinear(in_channels, inner_dim)
-            else:
-                self.proj_in = LoRACompatibleConv(in_channels, inner_dim, kernel_size=1, stride=1, padding=0)
-        elif self.is_input_vectorized:
-            assert sample_size is not None, "Transformer2DModel over discrete input must provide sample_size"
-            assert num_vector_embeds is not None, "Transformer2DModel over discrete input must provide num_embed"
-
-            self.height = sample_size
-            self.width = sample_size
-            self.num_vector_embeds = num_vector_embeds
-            self.num_latent_pixels = self.height * self.width
-
-            self.latent_image_embedding = ImagePositionalEmbeddings(
-                num_embed=num_vector_embeds, embed_dim=inner_dim, height=self.height, width=self.width
-            )
-        elif self.is_input_patches:
-            assert sample_size is not None, "Transformer2DModel over patched input must provide sample_size"
-
-            self.height = sample_size
-            self.width = sample_size
-
-            self.patch_size = patch_size
-            self.pos_embed = PatchEmbed(
-                height=sample_size,
-                width=sample_size,
-                patch_size=patch_size,
-                in_channels=in_channels,
-                embed_dim=inner_dim,
-            )
-
-        # 3. Define transformers blocks
-        self.transformer_blocks = nn.ModuleList(
-            [
-                BasicMVTransformerBlock(
-                    inner_dim,
-                    num_attention_heads,
-                    attention_head_dim,
-                    dropout=dropout,
-                    cross_attention_dim=cross_attention_dim,
-                    activation_fn=activation_fn,
-                    num_embeds_ada_norm=num_embeds_ada_norm,
-                    attention_bias=attention_bias,
-                    only_cross_attention=only_cross_attention,
-                    upcast_attention=upcast_attention,
-                    norm_type=norm_type,
-                    norm_elementwise_affine=norm_elementwise_affine,
-                    num_views=num_views,
-                    cd_attention_last=cd_attention_last,
-                    cd_attention_mid=cd_attention_mid,
-                    multiview_attention=multiview_attention,
-                    mvcd_attention=mvcd_attention
-                )
-                for d in range(num_layers)
-            ]
-        )
-
-        # 4. Define output layers
-        self.out_channels = in_channels if out_channels is None else out_channels
-        if self.is_input_continuous:
-            # TODO: should use out_channels for continuous projections
-            if use_linear_projection:
-                self.proj_out = LoRACompatibleLinear(inner_dim, in_channels)
-            else:
-                self.proj_out = LoRACompatibleConv(inner_dim, in_channels, kernel_size=1, stride=1, padding=0)
-        elif self.is_input_vectorized:
-            self.norm_out = nn.LayerNorm(inner_dim)
-            self.out = nn.Linear(inner_dim, self.num_vector_embeds - 1)
-        elif self.is_input_patches:
-            self.norm_out = nn.LayerNorm(inner_dim, elementwise_affine=False, eps=1e-6)
-            self.proj_out_1 = nn.Linear(inner_dim, 2 * inner_dim)
-            self.proj_out_2 = nn.Linear(inner_dim, patch_size * patch_size * self.out_channels)
-
-    def forward(
-        self,
-        hidden_states: torch.Tensor,
-        encoder_hidden_states: Optional[torch.Tensor] = None,
-        timestep: Optional[torch.LongTensor] = None,
-        class_labels: Optional[torch.LongTensor] = None,
-        cross_attention_kwargs: Dict[str, Any] = None,
-        attention_mask: Optional[torch.Tensor] = None,
-        encoder_attention_mask: Optional[torch.Tensor] = None,
-        return_dict: bool = True,
-    ):
-        """
-        The [`Transformer2DModel`] forward method.
-
-        Args:
-            hidden_states (`torch.LongTensor` of shape `(batch size, num latent pixels)` if discrete, `torch.FloatTensor` of shape `(batch size, channel, height, width)` if continuous):
-                Input `hidden_states`.
-            encoder_hidden_states ( `torch.FloatTensor` of shape `(batch size, sequence len, embed dims)`, *optional*):
-                Conditional embeddings for cross attention layer. If not given, cross-attention defaults to
-                self-attention.
-            timestep ( `torch.LongTensor`, *optional*):
-                Used to indicate denoising step. Optional timestep to be applied as an embedding in `AdaLayerNorm`.
-            class_labels ( `torch.LongTensor` of shape `(batch size, num classes)`, *optional*):
-                Used to indicate class labels conditioning. Optional class labels to be applied as an embedding in
-                `AdaLayerZeroNorm`.
-            encoder_attention_mask ( `torch.Tensor`, *optional*):
-                Cross-attention mask applied to `encoder_hidden_states`. Two formats supported:
-
-                    * Mask `(batch, sequence_length)` True = keep, False = discard.
-                    * Bias `(batch, 1, sequence_length)` 0 = keep, -10000 = discard.
-
-                If `ndim == 2`: will be interpreted as a mask, then converted into a bias consistent with the format
-                above. This bias will be added to the cross-attention scores.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~models.unet_2d_condition.UNet2DConditionOutput`] instead of a plain
-                tuple.
-
-        Returns:
-            If `return_dict` is True, an [`~models.transformer_2d.Transformer2DModelOutput`] is returned, otherwise a
-            `tuple` where the first element is the sample tensor.
-        """
-        # ensure attention_mask is a bias, and give it a singleton query_tokens dimension.
-        #   we may have done this conversion already, e.g. if we came here via UNet2DConditionModel#forward.
-        #   we can tell by counting dims; if ndim == 2: it's a mask rather than a bias.
-        # expects mask of shape:
-        #   [batch, key_tokens]
-        # adds singleton query_tokens dimension:
-        #   [batch,                    1, key_tokens]
-        # this helps to broadcast it as a bias over attention scores, which will be in one of the following shapes:
-        #   [batch,  heads, query_tokens, key_tokens] (e.g. torch sdp attn)
-        #   [batch * heads, query_tokens, key_tokens] (e.g. xformers or classic attn)
-        if attention_mask is not None and attention_mask.ndim == 2:
-            # assume that mask is expressed as:
-            #   (1 = keep,      0 = discard)
-            # convert mask into a bias that can be added to attention scores:
-            #       (keep = +0,     discard = -10000.0)
-            attention_mask = (1 - attention_mask.to(hidden_states.dtype)) * -10000.0
-            attention_mask = attention_mask.unsqueeze(1)
-
-        # convert encoder_attention_mask to a bias the same way we do for attention_mask
-        if encoder_attention_mask is not None and encoder_attention_mask.ndim == 2:
-            encoder_attention_mask = (1 - encoder_attention_mask.to(hidden_states.dtype)) * -10000.0
-            encoder_attention_mask = encoder_attention_mask.unsqueeze(1)
-
-        # 1. Input
-        if self.is_input_continuous:
-            batch, _, height, width = hidden_states.shape
-            residual = hidden_states
-
-            hidden_states = self.norm(hidden_states)
-            if not self.use_linear_projection:
-                hidden_states = self.proj_in(hidden_states)
-                inner_dim = hidden_states.shape[1]
-                hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
-            else:
-                inner_dim = hidden_states.shape[1]
-                hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
-                hidden_states = self.proj_in(hidden_states)
-        elif self.is_input_vectorized:
-            hidden_states = self.latent_image_embedding(hidden_states)
-        elif self.is_input_patches:
-            hidden_states = self.pos_embed(hidden_states)
-
-        # 2. Blocks
-        for block in self.transformer_blocks:
-            hidden_states = block(
-                hidden_states,
-                attention_mask=attention_mask,
-                encoder_hidden_states=encoder_hidden_states,
-                encoder_attention_mask=encoder_attention_mask,
-                timestep=timestep,
-                cross_attention_kwargs=cross_attention_kwargs,
-                class_labels=class_labels,
-            )
-
-        # 3. Output
-        if self.is_input_continuous:
-            if not self.use_linear_projection:
-                hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()
-                hidden_states = self.proj_out(hidden_states)
-            else:
-                hidden_states = self.proj_out(hidden_states)
-                hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()
-
-            output = hidden_states + residual
-        elif self.is_input_vectorized:
-            hidden_states = self.norm_out(hidden_states)
-            logits = self.out(hidden_states)
-            # (batch, self.num_vector_embeds - 1, self.num_latent_pixels)
-            logits = logits.permute(0, 2, 1)
-
-            # log(p(x_0))
-            output = F.log_softmax(logits.double(), dim=1).float()
-        elif self.is_input_patches:
-            # TODO: cleanup!
-            conditioning = self.transformer_blocks[0].norm1.emb(
-                timestep, class_labels, hidden_dtype=hidden_states.dtype
-            )
-            shift, scale = self.proj_out_1(F.silu(conditioning)).chunk(2, dim=1)
-            hidden_states = self.norm_out(hidden_states) * (1 + scale[:, None]) + shift[:, None]
-            hidden_states = self.proj_out_2(hidden_states)
-
-            # unpatchify
-            height = width = int(hidden_states.shape[1] ** 0.5)
-            hidden_states = hidden_states.reshape(
-                shape=(-1, height, width, self.patch_size, self.patch_size, self.out_channels)
-            )
-            hidden_states = torch.einsum("nhwpqc->nchpwq", hidden_states)
-            output = hidden_states.reshape(
-                shape=(-1, self.out_channels, height * self.patch_size, width * self.patch_size)
-            )
-
-        if not return_dict:
-            return (output,)
-
-        return TransformerMV2DModelOutput(sample=output)
-
-
-@maybe_allow_in_graph
-class BasicMVTransformerBlock(nn.Module):
-    r"""
-    A basic Transformer block.
-
-    Parameters:
-        dim (`int`): The number of channels in the input and output.
-        num_attention_heads (`int`): The number of heads to use for multi-head attention.
-        attention_head_dim (`int`): The number of channels in each head.
-        dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use.
-        cross_attention_dim (`int`, *optional*): The size of the encoder_hidden_states vector for cross attention.
-        only_cross_attention (`bool`, *optional*):
-            Whether to use only cross-attention layers. In this case two cross attention layers are used.
-        double_self_attention (`bool`, *optional*):
-            Whether to use two self-attention layers. In this case no cross attention layers are used.
-        activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to be used in feed-forward.
-        num_embeds_ada_norm (:
-            obj: `int`, *optional*): The number of diffusion steps used during training. See `Transformer2DModel`.
-        attention_bias (:
-            obj: `bool`, *optional*, defaults to `False`): Configure if the attentions should contain a bias parameter.
-    """
-
-    def __init__(
-        self,
-        dim: int,
-        num_attention_heads: int,
-        attention_head_dim: int,
-        dropout=0.0,
-        cross_attention_dim: Optional[int] = None,
-        activation_fn: str = "geglu",
-        num_embeds_ada_norm: Optional[int] = None,
-        attention_bias: bool = False,
-        only_cross_attention: bool = False,
-        double_self_attention: bool = False,
-        upcast_attention: bool = False,
-        norm_elementwise_affine: bool = True,
-        norm_type: str = "layer_norm",
-        final_dropout: bool = False,
-        num_views: int = 1,
-        cd_attention_last: bool = False,
-        cd_attention_mid: bool = False,
-        multiview_attention: bool = True,
-        mvcd_attention: bool = False,
-        rowwise_attention: bool = True
-    ):
-        super().__init__()
-        self.only_cross_attention = only_cross_attention
-
-        self.use_ada_layer_norm_zero = (num_embeds_ada_norm is not None) and norm_type == "ada_norm_zero"
-        self.use_ada_layer_norm = (num_embeds_ada_norm is not None) and norm_type == "ada_norm"
-
-        if norm_type in ("ada_norm", "ada_norm_zero") and num_embeds_ada_norm is None:
-            raise ValueError(
-                f"`norm_type` is set to {norm_type}, but `num_embeds_ada_norm` is not defined. Please make sure to"
-                f" define `num_embeds_ada_norm` if setting `norm_type` to {norm_type}."
-            )
-
-        # Define 3 blocks. Each block has its own normalization layer.
-        # 1. Self-Attn
-        if self.use_ada_layer_norm:
-            self.norm1 = AdaLayerNorm(dim, num_embeds_ada_norm)
-        elif self.use_ada_layer_norm_zero:
-            self.norm1 = AdaLayerNormZero(dim, num_embeds_ada_norm)
-        else:
-            self.norm1 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-
-        self.multiview_attention = multiview_attention
-        self.mvcd_attention = mvcd_attention
-        self.rowwise_attention = multiview_attention and rowwise_attention
-
-        # rowwise multiview attention
-     
-        print('INFO: using row wise attention...')
-    
-        self.attn1 = CustomAttention(
-            query_dim=dim,
-            heads=num_attention_heads,
-            dim_head=attention_head_dim,
-            dropout=dropout,
-            bias=attention_bias,
-            cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-            upcast_attention=upcast_attention,
-            processor=MVAttnProcessor()
-        )
-
-        # 2. Cross-Attn
-        if cross_attention_dim is not None or double_self_attention:
-            # We currently only use AdaLayerNormZero for self attention where there will only be one attention block.
-            # I.e. the number of returned modulation chunks from AdaLayerZero would not make sense if returned during
-            # the second cross attention block.
-            self.norm2 = (
-                AdaLayerNorm(dim, num_embeds_ada_norm)
-                if self.use_ada_layer_norm
-                else nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-            )
-            self.attn2 = Attention(
-                query_dim=dim,
-                cross_attention_dim=cross_attention_dim if not double_self_attention else None,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                upcast_attention=upcast_attention,
-            )  # is self-attn if encoder_hidden_states is none
-        else:
-            self.norm2 = None
-            self.attn2 = None
-
-        # 3. Feed-forward
-        self.norm3 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-        self.ff = FeedForward(dim, dropout=dropout, activation_fn=activation_fn, final_dropout=final_dropout)
-
-        # let chunk size default to None
-        self._chunk_size = None
-        self._chunk_dim = 0
-
-        self.num_views = num_views
-
-        self.cd_attention_last = cd_attention_last
-
-        if self.cd_attention_last:
-            # Joint task -Attn
-            self.attn_joint = CustomJointAttention(
-                query_dim=dim,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-                upcast_attention=upcast_attention,
-                processor=JointAttnProcessor()
-            )
-            nn.init.zeros_(self.attn_joint.to_out[0].weight.data)
-            self.norm_joint = AdaLayerNorm(dim, num_embeds_ada_norm) if self.use_ada_layer_norm else nn.LayerNorm(dim)
-
-
-        self.cd_attention_mid = cd_attention_mid
-
-        if self.cd_attention_mid:
-            print("joint twice")
-            # Joint task -Attn
-            self.attn_joint_twice = CustomJointAttention(
-                query_dim=dim,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-                upcast_attention=upcast_attention,
-                processor=JointAttnProcessor()
-            )
-            nn.init.zeros_(self.attn_joint_twice.to_out[0].weight.data)
-            self.norm_joint_twice = AdaLayerNorm(dim, num_embeds_ada_norm) if self.use_ada_layer_norm else nn.LayerNorm(dim)
-
-    def set_chunk_feed_forward(self, chunk_size: Optional[int], dim: int):
-        # Sets chunk feed-forward
-        self._chunk_size = chunk_size
-        self._chunk_dim = dim
-
-    def forward(
-        self,
-        hidden_states: torch.FloatTensor,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        encoder_hidden_states: Optional[torch.FloatTensor] = None,
-        encoder_attention_mask: Optional[torch.FloatTensor] = None,
-        timestep: Optional[torch.LongTensor] = None,
-        cross_attention_kwargs: Dict[str, Any] = None,
-        class_labels: Optional[torch.LongTensor] = None,
-    ):
-        assert attention_mask is None # not supported yet
-        # Notice that normalization is always applied before the real computation in the following blocks.
-        # 1. Self-Attention
-        if self.use_ada_layer_norm:
-            norm_hidden_states = self.norm1(hidden_states, timestep)
-        elif self.use_ada_layer_norm_zero:
-            norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(
-                hidden_states, timestep, class_labels, hidden_dtype=hidden_states.dtype
-            )
-        else:
-            norm_hidden_states = self.norm1(hidden_states)
-
-        cross_attention_kwargs = cross_attention_kwargs if cross_attention_kwargs is not None else {}
-
-        attn_output = self.attn1(
-            norm_hidden_states,
-            encoder_hidden_states=encoder_hidden_states if self.only_cross_attention else None,
-            attention_mask=attention_mask,
-            multiview_attention=self.multiview_attention,
-            mvcd_attention=self.mvcd_attention,
-            num_views=self.num_views,
-            **cross_attention_kwargs,
-        )
-
-        if self.use_ada_layer_norm_zero:
-            attn_output = gate_msa.unsqueeze(1) * attn_output
-        hidden_states = attn_output + hidden_states
-
-        # joint attention twice
-        if self.cd_attention_mid:
-            norm_hidden_states = (
-                self.norm_joint_twice(hidden_states, timestep) if self.use_ada_layer_norm else self.norm_joint_twice(hidden_states)
-            )
-            hidden_states = self.attn_joint_twice(norm_hidden_states) + hidden_states
-
-        # 2. Cross-Attention
-        if self.attn2 is not None:
-            norm_hidden_states = (
-                self.norm2(hidden_states, timestep) if self.use_ada_layer_norm else self.norm2(hidden_states)
-            )
-
-            attn_output = self.attn2(
-                norm_hidden_states,
-                encoder_hidden_states=encoder_hidden_states,
-                attention_mask=encoder_attention_mask,
-                **cross_attention_kwargs,
-            )
-            hidden_states = attn_output + hidden_states
-
-        # 3. Feed-forward
-        norm_hidden_states = self.norm3(hidden_states)
-
-        if self.use_ada_layer_norm_zero:
-            norm_hidden_states = norm_hidden_states * (1 + scale_mlp[:, None]) + shift_mlp[:, None]
-
-        if self._chunk_size is not None:
-            # "feed_forward_chunk_size" can be used to save memory
-            if norm_hidden_states.shape[self._chunk_dim] % self._chunk_size != 0:
-                raise ValueError(
-                    f"`hidden_states` dimension to be chunked: {norm_hidden_states.shape[self._chunk_dim]} has to be divisible by chunk size: {self._chunk_size}. Make sure to set an appropriate `chunk_size` when calling `unet.enable_forward_chunking`."
-                )
-
-            num_chunks = norm_hidden_states.shape[self._chunk_dim] // self._chunk_size
-            ff_output = torch.cat(
-                [self.ff(hid_slice) for hid_slice in norm_hidden_states.chunk(num_chunks, dim=self._chunk_dim)],
-                dim=self._chunk_dim,
-            )
-        else:
-            ff_output = self.ff(norm_hidden_states)
-
-        if self.use_ada_layer_norm_zero:
-            ff_output = gate_mlp.unsqueeze(1) * ff_output
-
-        hidden_states = ff_output + hidden_states
-
-        if self.cd_attention_last:
-            norm_hidden_states = (
-                self.norm_joint(hidden_states, timestep) if self.use_ada_layer_norm else self.norm_joint(hidden_states)
-            )
-            hidden_states = self.attn_joint(norm_hidden_states) + hidden_states
-
-        return hidden_states
-    
-
-class CustomAttention(Attention):
-    def set_use_memory_efficient_attention_xformers(
-        self, use_memory_efficient_attention_xformers: bool, *args, **kwargs
-    ):
-        processor = XFormersMVAttnProcessor()
-        self.set_processor(processor)
-        # print("using xformers attention processor")
-
-
-class CustomJointAttention(Attention):
-    def set_use_memory_efficient_attention_xformers(
-        self, use_memory_efficient_attention_xformers: bool, *args, **kwargs
-    ):
-        processor = XFormersJointAttnProcessor()
-        self.set_processor(processor)
-        # print("using xformers attention processor")
-
-class MVAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_views=1,
-        multiview_attention=True
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        height = int(math.sqrt(sequence_length)) 
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        # print('query', query.shape, 'key', key.shape, 'value', value.shape)
-        #([bx4, 1024, 320]) key torch.Size([bx4, 1024, 320]) value torch.Size([bx4, 1024, 320])
-        # pdb.set_trace()
-        # multi-view self-attention
-        key = rearrange(key, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) 
-        value = rearrange(value, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height)
-        query = rearrange(query, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) # torch.Size([192, 384, 320])
-
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-        
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-        hidden_states = rearrange(hidden_states, "(b h) (v w) c -> (b v) (h w) c", v=num_views, h=height)
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class XFormersMVAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_views=1,
-        multiview_attention=True,
-        mvcd_attention=False,
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        height = int(math.sqrt(sequence_length)) 
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-        # from yuancheng; here attention_mask is None
-        if attention_mask is not None:
-            # expand our mask's singleton query_tokens dimension:
-            #   [batch*heads,            1, key_tokens] ->
-            #   [batch*heads, query_tokens, key_tokens]
-            # so that it can be added as a bias onto the attention scores that xformers computes:
-            #   [batch*heads, query_tokens, key_tokens]
-            # we do this explicitly because xformers doesn't broadcast the singleton dimension for us.
-            _, query_tokens, _ = hidden_states.shape
-            attention_mask = attention_mask.expand(-1, query_tokens, -1)
-
-        if attn.group_norm is not None:
-            print('Warning: using group norm, pay attention to use it in row-wise attention')
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key_raw = attn.to_k(encoder_hidden_states)
-        value_raw = attn.to_v(encoder_hidden_states)
-
-        # print('query', query.shape, 'key', key.shape, 'value', value.shape)
-        # pdb.set_trace()
-        
-        key = rearrange(key_raw, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) 
-        value = rearrange(value_raw, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height)
-        query = rearrange(query, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) # torch.Size([192, 384, 320])
-        if mvcd_attention:
-            # memory efficient, cross domain attention
-            key_0, key_1 = torch.chunk(key_raw, dim=0, chunks=2)  # keys shape (b t) d c
-            value_0, value_1 = torch.chunk(value_raw, dim=0, chunks=2)
-            key_cross = torch.concat([key_1, key_0], dim=0)
-            value_cross = torch.concat([value_1, value_0], dim=0) #  shape (b t) d c
-            key = torch.cat([key, key_cross], dim=1)
-            value = torch.cat([value, value_cross], dim=1)  #  shape (b t) (t+1 d) c
-
-
-        query = attn.head_to_batch_dim(query) # torch.Size([960, 384, 64])
-        key = attn.head_to_batch_dim(key)
-        value = attn.head_to_batch_dim(value)
-
-        hidden_states = xformers.ops.memory_efficient_attention(query, key, value, attn_bias=attention_mask)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-        # print(hidden_states.shape)
-        hidden_states = rearrange(hidden_states, "(b h) (v w) c -> (b v) (h w) c", v=num_views, h=height)
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class XFormersJointAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_tasks=2
-    ):
-        
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        # from yuancheng; here attention_mask is None
-        if attention_mask is not None:
-            # expand our mask's singleton query_tokens dimension:
-            #   [batch*heads,            1, key_tokens] ->
-            #   [batch*heads, query_tokens, key_tokens]
-            # so that it can be added as a bias onto the attention scores that xformers computes:
-            #   [batch*heads, query_tokens, key_tokens]
-            # we do this explicitly because xformers doesn't broadcast the singleton dimension for us.
-            _, query_tokens, _ = hidden_states.shape
-            attention_mask = attention_mask.expand(-1, query_tokens, -1)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        assert num_tasks == 2  # only support two tasks now
-
-        key_0, key_1 = torch.chunk(key, dim=0, chunks=2)  # keys shape (b t) d c
-        value_0, value_1 = torch.chunk(value, dim=0, chunks=2)
-        key = torch.cat([key_0, key_1], dim=1)  # (b t) 2d c
-        value = torch.cat([value_0, value_1], dim=1)  # (b t) 2d c
-        key = torch.cat([key]*2, dim=0)   # ( 2 b t) 2d c
-        value = torch.cat([value]*2, dim=0)  # (2 b t) 2d c
-
-        
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-
-        hidden_states = xformers.ops.memory_efficient_attention(query, key, value, attn_bias=attention_mask)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class JointAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_tasks=2
-    ):
-        
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        assert num_tasks == 2  # only support two tasks now
-
-        key_0, key_1 = torch.chunk(key, dim=0, chunks=2)  # keys shape (b t) d c
-        value_0, value_1 = torch.chunk(value, dim=0, chunks=2)
-        key = torch.cat([key_0, key_1], dim=1)  # (b t) 2d c
-        value = torch.cat([value_0, value_1], dim=1)  # (b t) 2d c
-        key = torch.cat([key]*2, dim=0)   # ( 2 b t) 2d c
-        value = torch.cat([value]*2, dim=0)  # (2 b t) 2d c
-
-        
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
\ No newline at end of file
diff --git a/mvdiffusion/models/transformer_mv2d_self_rowwise.py b/mvdiffusion/models/transformer_mv2d_self_rowwise.py
deleted file mode 100644
index 61cc1f59b7be3b1db5a8a7051934ff20ede58bd3..0000000000000000000000000000000000000000
--- a/mvdiffusion/models/transformer_mv2d_self_rowwise.py
+++ /dev/null
@@ -1,1038 +0,0 @@
-# Copyright 2023 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from dataclasses import dataclass
-from typing import Any, Dict, Optional
-
-import torch
-import torch.nn.functional as F
-from torch import nn
-
-from diffusers.configuration_utils import ConfigMixin, register_to_config
-from diffusers.models.embeddings import ImagePositionalEmbeddings
-from diffusers.utils import BaseOutput, deprecate
-from diffusers.utils.torch_utils import maybe_allow_in_graph
-from diffusers.models.attention import FeedForward, AdaLayerNorm, AdaLayerNormZero, Attention
-from diffusers.models.embeddings import PatchEmbed
-from diffusers.models.lora import LoRACompatibleConv, LoRACompatibleLinear
-from diffusers.models.modeling_utils import ModelMixin
-from diffusers.utils.import_utils import is_xformers_available
-
-from einops import rearrange
-import pdb
-import random
-import math
-
-
-if is_xformers_available():
-    import xformers
-    import xformers.ops
-else:
-    xformers = None
-
-
-@dataclass
-class TransformerMV2DModelOutput(BaseOutput):
-    """
-    The output of [`Transformer2DModel`].
-
-    Args:
-        sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` or `(batch size, num_vector_embeds - 1, num_latent_pixels)` if [`Transformer2DModel`] is discrete):
-            The hidden states output conditioned on the `encoder_hidden_states` input. If discrete, returns probability
-            distributions for the unnoised latent pixels.
-    """
-
-    sample: torch.FloatTensor
-
-
-class TransformerMV2DModel(ModelMixin, ConfigMixin):
-    """
-    A 2D Transformer model for image-like data.
-
-    Parameters:
-        num_attention_heads (`int`, *optional*, defaults to 16): The number of heads to use for multi-head attention.
-        attention_head_dim (`int`, *optional*, defaults to 88): The number of channels in each head.
-        in_channels (`int`, *optional*):
-            The number of channels in the input and output (specify if the input is **continuous**).
-        num_layers (`int`, *optional*, defaults to 1): The number of layers of Transformer blocks to use.
-        dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use.
-        cross_attention_dim (`int`, *optional*): The number of `encoder_hidden_states` dimensions to use.
-        sample_size (`int`, *optional*): The width of the latent images (specify if the input is **discrete**).
-            This is fixed during training since it is used to learn a number of position embeddings.
-        num_vector_embeds (`int`, *optional*):
-            The number of classes of the vector embeddings of the latent pixels (specify if the input is **discrete**).
-            Includes the class for the masked latent pixel.
-        activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to use in feed-forward.
-        num_embeds_ada_norm ( `int`, *optional*):
-            The number of diffusion steps used during training. Pass if at least one of the norm_layers is
-            `AdaLayerNorm`. This is fixed during training since it is used to learn a number of embeddings that are
-            added to the hidden states.
-
-            During inference, you can denoise for up to but not more steps than `num_embeds_ada_norm`.
-        attention_bias (`bool`, *optional*):
-            Configure if the `TransformerBlocks` attention should contain a bias parameter.
-    """
-
-    @register_to_config
-    def __init__(
-        self,
-        num_attention_heads: int = 16,
-        attention_head_dim: int = 88,
-        in_channels: Optional[int] = None,
-        out_channels: Optional[int] = None,
-        num_layers: int = 1,
-        dropout: float = 0.0,
-        norm_num_groups: int = 32,
-        cross_attention_dim: Optional[int] = None,
-        attention_bias: bool = False,
-        sample_size: Optional[int] = None,
-        num_vector_embeds: Optional[int] = None,
-        patch_size: Optional[int] = None,
-        activation_fn: str = "geglu",
-        num_embeds_ada_norm: Optional[int] = None,
-        use_linear_projection: bool = False,
-        only_cross_attention: bool = False,
-        upcast_attention: bool = False,
-        norm_type: str = "layer_norm",
-        norm_elementwise_affine: bool = True,
-        num_views: int = 1,
-        cd_attention_mid: bool=False,
-        cd_attention_last: bool=False,
-        multiview_attention: bool=True,
-        sparse_mv_attention: bool = True, # not used
-        mvcd_attention: bool=False,
-        use_dino: bool=False
-    ):
-        super().__init__()
-        self.use_linear_projection = use_linear_projection
-        self.num_attention_heads = num_attention_heads
-        self.attention_head_dim = attention_head_dim
-        inner_dim = num_attention_heads * attention_head_dim
-
-        # 1. Transformer2DModel can process both standard continuous images of shape `(batch_size, num_channels, width, height)` as well as quantized image embeddings of shape `(batch_size, num_image_vectors)`
-        # Define whether input is continuous or discrete depending on configuration
-        self.is_input_continuous = (in_channels is not None) and (patch_size is None)
-        self.is_input_vectorized = num_vector_embeds is not None
-        self.is_input_patches = in_channels is not None and patch_size is not None
-
-        if norm_type == "layer_norm" and num_embeds_ada_norm is not None:
-            deprecation_message = (
-                f"The configuration file of this model: {self.__class__} is outdated. `norm_type` is either not set or"
-                " incorrectly set to `'layer_norm'`.Make sure to set `norm_type` to `'ada_norm'` in the config."
-                " Please make sure to update the config accordingly as leaving `norm_type` might led to incorrect"
-                " results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it"
-                " would be very nice if you could open a Pull request for the `transformer/config.json` file"
-            )
-            deprecate("norm_type!=num_embeds_ada_norm", "1.0.0", deprecation_message, standard_warn=False)
-            norm_type = "ada_norm"
-
-        if self.is_input_continuous and self.is_input_vectorized:
-            raise ValueError(
-                f"Cannot define both `in_channels`: {in_channels} and `num_vector_embeds`: {num_vector_embeds}. Make"
-                " sure that either `in_channels` or `num_vector_embeds` is None."
-            )
-        elif self.is_input_vectorized and self.is_input_patches:
-            raise ValueError(
-                f"Cannot define both `num_vector_embeds`: {num_vector_embeds} and `patch_size`: {patch_size}. Make"
-                " sure that either `num_vector_embeds` or `num_patches` is None."
-            )
-        elif not self.is_input_continuous and not self.is_input_vectorized and not self.is_input_patches:
-            raise ValueError(
-                f"Has to define `in_channels`: {in_channels}, `num_vector_embeds`: {num_vector_embeds}, or patch_size:"
-                f" {patch_size}. Make sure that `in_channels`, `num_vector_embeds` or `num_patches` is not None."
-            )
-
-        # 2. Define input layers
-        if self.is_input_continuous:
-            self.in_channels = in_channels
-
-            self.norm = torch.nn.GroupNorm(num_groups=norm_num_groups, num_channels=in_channels, eps=1e-6, affine=True)
-            if use_linear_projection:
-                self.proj_in = LoRACompatibleLinear(in_channels, inner_dim)
-            else:
-                self.proj_in = LoRACompatibleConv(in_channels, inner_dim, kernel_size=1, stride=1, padding=0)
-        elif self.is_input_vectorized:
-            assert sample_size is not None, "Transformer2DModel over discrete input must provide sample_size"
-            assert num_vector_embeds is not None, "Transformer2DModel over discrete input must provide num_embed"
-
-            self.height = sample_size
-            self.width = sample_size
-            self.num_vector_embeds = num_vector_embeds
-            self.num_latent_pixels = self.height * self.width
-
-            self.latent_image_embedding = ImagePositionalEmbeddings(
-                num_embed=num_vector_embeds, embed_dim=inner_dim, height=self.height, width=self.width
-            )
-        elif self.is_input_patches:
-            assert sample_size is not None, "Transformer2DModel over patched input must provide sample_size"
-
-            self.height = sample_size
-            self.width = sample_size
-
-            self.patch_size = patch_size
-            self.pos_embed = PatchEmbed(
-                height=sample_size,
-                width=sample_size,
-                patch_size=patch_size,
-                in_channels=in_channels,
-                embed_dim=inner_dim,
-            )
-
-        # 3. Define transformers blocks
-        self.transformer_blocks = nn.ModuleList(
-            [
-                BasicMVTransformerBlock(
-                    inner_dim,
-                    num_attention_heads,
-                    attention_head_dim,
-                    dropout=dropout,
-                    cross_attention_dim=cross_attention_dim,
-                    activation_fn=activation_fn,
-                    num_embeds_ada_norm=num_embeds_ada_norm,
-                    attention_bias=attention_bias,
-                    only_cross_attention=only_cross_attention,
-                    upcast_attention=upcast_attention,
-                    norm_type=norm_type,
-                    norm_elementwise_affine=norm_elementwise_affine,
-                    num_views=num_views,
-                    cd_attention_last=cd_attention_last,
-                    cd_attention_mid=cd_attention_mid,
-                    multiview_attention=multiview_attention,
-                    mvcd_attention=mvcd_attention,
-                    use_dino=use_dino
-                )
-                for d in range(num_layers)
-            ]
-        )
-
-        # 4. Define output layers
-        self.out_channels = in_channels if out_channels is None else out_channels
-        if self.is_input_continuous:
-            # TODO: should use out_channels for continuous projections
-            if use_linear_projection:
-                self.proj_out = LoRACompatibleLinear(inner_dim, in_channels)
-            else:
-                self.proj_out = LoRACompatibleConv(inner_dim, in_channels, kernel_size=1, stride=1, padding=0)
-        elif self.is_input_vectorized:
-            self.norm_out = nn.LayerNorm(inner_dim)
-            self.out = nn.Linear(inner_dim, self.num_vector_embeds - 1)
-        elif self.is_input_patches:
-            self.norm_out = nn.LayerNorm(inner_dim, elementwise_affine=False, eps=1e-6)
-            self.proj_out_1 = nn.Linear(inner_dim, 2 * inner_dim)
-            self.proj_out_2 = nn.Linear(inner_dim, patch_size * patch_size * self.out_channels)
-
-    def forward(
-        self,
-        hidden_states: torch.Tensor,
-        encoder_hidden_states: Optional[torch.Tensor] = None,
-        dino_feature: Optional[torch.Tensor] = None,
-        timestep: Optional[torch.LongTensor] = None,
-        class_labels: Optional[torch.LongTensor] = None,
-        cross_attention_kwargs: Dict[str, Any] = None,
-        attention_mask: Optional[torch.Tensor] = None,
-        encoder_attention_mask: Optional[torch.Tensor] = None,
-        return_dict: bool = True,
-    ):
-        """
-        The [`Transformer2DModel`] forward method.
-
-        Args:
-            hidden_states (`torch.LongTensor` of shape `(batch size, num latent pixels)` if discrete, `torch.FloatTensor` of shape `(batch size, channel, height, width)` if continuous):
-                Input `hidden_states`.
-            encoder_hidden_states ( `torch.FloatTensor` of shape `(batch size, sequence len, embed dims)`, *optional*):
-                Conditional embeddings for cross attention layer. If not given, cross-attention defaults to
-                self-attention.
-            timestep ( `torch.LongTensor`, *optional*):
-                Used to indicate denoising step. Optional timestep to be applied as an embedding in `AdaLayerNorm`.
-            class_labels ( `torch.LongTensor` of shape `(batch size, num classes)`, *optional*):
-                Used to indicate class labels conditioning. Optional class labels to be applied as an embedding in
-                `AdaLayerZeroNorm`.
-            encoder_attention_mask ( `torch.Tensor`, *optional*):
-                Cross-attention mask applied to `encoder_hidden_states`. Two formats supported:
-
-                    * Mask `(batch, sequence_length)` True = keep, False = discard.
-                    * Bias `(batch, 1, sequence_length)` 0 = keep, -10000 = discard.
-
-                If `ndim == 2`: will be interpreted as a mask, then converted into a bias consistent with the format
-                above. This bias will be added to the cross-attention scores.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~models.unet_2d_condition.UNet2DConditionOutput`] instead of a plain
-                tuple.
-
-        Returns:
-            If `return_dict` is True, an [`~models.transformer_2d.Transformer2DModelOutput`] is returned, otherwise a
-            `tuple` where the first element is the sample tensor.
-        """
-        # ensure attention_mask is a bias, and give it a singleton query_tokens dimension.
-        #   we may have done this conversion already, e.g. if we came here via UNet2DConditionModel#forward.
-        #   we can tell by counting dims; if ndim == 2: it's a mask rather than a bias.
-        # expects mask of shape:
-        #   [batch, key_tokens]
-        # adds singleton query_tokens dimension:
-        #   [batch,                    1, key_tokens]
-        # this helps to broadcast it as a bias over attention scores, which will be in one of the following shapes:
-        #   [batch,  heads, query_tokens, key_tokens] (e.g. torch sdp attn)
-        #   [batch * heads, query_tokens, key_tokens] (e.g. xformers or classic attn)
-        if attention_mask is not None and attention_mask.ndim == 2:
-            # assume that mask is expressed as:
-            #   (1 = keep,      0 = discard)
-            # convert mask into a bias that can be added to attention scores:
-            #       (keep = +0,     discard = -10000.0)
-            attention_mask = (1 - attention_mask.to(hidden_states.dtype)) * -10000.0
-            attention_mask = attention_mask.unsqueeze(1)
-
-        # convert encoder_attention_mask to a bias the same way we do for attention_mask
-        if encoder_attention_mask is not None and encoder_attention_mask.ndim == 2:
-            encoder_attention_mask = (1 - encoder_attention_mask.to(hidden_states.dtype)) * -10000.0
-            encoder_attention_mask = encoder_attention_mask.unsqueeze(1)
-
-        # 1. Input
-        if self.is_input_continuous:
-            batch, _, height, width = hidden_states.shape
-            residual = hidden_states
-
-            hidden_states = self.norm(hidden_states)
-            if not self.use_linear_projection:
-                hidden_states = self.proj_in(hidden_states)
-                inner_dim = hidden_states.shape[1]
-                hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
-            else:
-                inner_dim = hidden_states.shape[1]
-                hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
-                hidden_states = self.proj_in(hidden_states)
-        elif self.is_input_vectorized:
-            hidden_states = self.latent_image_embedding(hidden_states)
-        elif self.is_input_patches:
-            hidden_states = self.pos_embed(hidden_states)
-
-        # 2. Blocks
-        for block in self.transformer_blocks:
-            hidden_states = block(
-                hidden_states,
-                attention_mask=attention_mask,
-                encoder_hidden_states=encoder_hidden_states,
-                dino_feature=dino_feature,
-                encoder_attention_mask=encoder_attention_mask,
-                timestep=timestep,
-                cross_attention_kwargs=cross_attention_kwargs,
-                class_labels=class_labels,
-            )
-
-        # 3. Output
-        if self.is_input_continuous:
-            if not self.use_linear_projection:
-                hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()
-                hidden_states = self.proj_out(hidden_states)
-            else:
-                hidden_states = self.proj_out(hidden_states)
-                hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()
-
-            output = hidden_states + residual
-        elif self.is_input_vectorized:
-            hidden_states = self.norm_out(hidden_states)
-            logits = self.out(hidden_states)
-            # (batch, self.num_vector_embeds - 1, self.num_latent_pixels)
-            logits = logits.permute(0, 2, 1)
-
-            # log(p(x_0))
-            output = F.log_softmax(logits.double(), dim=1).float()
-        elif self.is_input_patches:
-            # TODO: cleanup!
-            conditioning = self.transformer_blocks[0].norm1.emb(
-                timestep, class_labels, hidden_dtype=hidden_states.dtype
-            )
-            shift, scale = self.proj_out_1(F.silu(conditioning)).chunk(2, dim=1)
-            hidden_states = self.norm_out(hidden_states) * (1 + scale[:, None]) + shift[:, None]
-            hidden_states = self.proj_out_2(hidden_states)
-
-            # unpatchify
-            height = width = int(hidden_states.shape[1] ** 0.5)
-            hidden_states = hidden_states.reshape(
-                shape=(-1, height, width, self.patch_size, self.patch_size, self.out_channels)
-            )
-            hidden_states = torch.einsum("nhwpqc->nchpwq", hidden_states)
-            output = hidden_states.reshape(
-                shape=(-1, self.out_channels, height * self.patch_size, width * self.patch_size)
-            )
-
-        if not return_dict:
-            return (output,)
-
-        return TransformerMV2DModelOutput(sample=output)
-
-
-@maybe_allow_in_graph
-class BasicMVTransformerBlock(nn.Module):
-    r"""
-    A basic Transformer block.
-
-    Parameters:
-        dim (`int`): The number of channels in the input and output.
-        num_attention_heads (`int`): The number of heads to use for multi-head attention.
-        attention_head_dim (`int`): The number of channels in each head.
-        dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use.
-        cross_attention_dim (`int`, *optional*): The size of the encoder_hidden_states vector for cross attention.
-        only_cross_attention (`bool`, *optional*):
-            Whether to use only cross-attention layers. In this case two cross attention layers are used.
-        double_self_attention (`bool`, *optional*):
-            Whether to use two self-attention layers. In this case no cross attention layers are used.
-        activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to be used in feed-forward.
-        num_embeds_ada_norm (:
-            obj: `int`, *optional*): The number of diffusion steps used during training. See `Transformer2DModel`.
-        attention_bias (:
-            obj: `bool`, *optional*, defaults to `False`): Configure if the attentions should contain a bias parameter.
-    """
-
-    def __init__(
-        self,
-        dim: int,
-        num_attention_heads: int,
-        attention_head_dim: int,
-        dropout=0.0,
-        cross_attention_dim: Optional[int] = None,
-        activation_fn: str = "geglu",
-        num_embeds_ada_norm: Optional[int] = None,
-        attention_bias: bool = False,
-        only_cross_attention: bool = False,
-        double_self_attention: bool = False,
-        upcast_attention: bool = False,
-        norm_elementwise_affine: bool = True,
-        norm_type: str = "layer_norm",
-        final_dropout: bool = False,
-        num_views: int = 1,
-        cd_attention_last: bool = False,
-        cd_attention_mid: bool = False,
-        multiview_attention: bool = True,
-        mvcd_attention: bool = False,
-        rowwise_attention: bool = True,
-        use_dino: bool = False
-    ):
-        super().__init__()
-        self.only_cross_attention = only_cross_attention
-
-        self.use_ada_layer_norm_zero = (num_embeds_ada_norm is not None) and norm_type == "ada_norm_zero"
-        self.use_ada_layer_norm = (num_embeds_ada_norm is not None) and norm_type == "ada_norm"
-
-        if norm_type in ("ada_norm", "ada_norm_zero") and num_embeds_ada_norm is None:
-            raise ValueError(
-                f"`norm_type` is set to {norm_type}, but `num_embeds_ada_norm` is not defined. Please make sure to"
-                f" define `num_embeds_ada_norm` if setting `norm_type` to {norm_type}."
-            )
-
-        # Define 3 blocks. Each block has its own normalization layer.
-        # 1. Self-Attn
-        if self.use_ada_layer_norm:
-            self.norm1 = AdaLayerNorm(dim, num_embeds_ada_norm)
-        elif self.use_ada_layer_norm_zero:
-            self.norm1 = AdaLayerNormZero(dim, num_embeds_ada_norm)
-        else:
-            self.norm1 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-
-        self.multiview_attention = multiview_attention
-        self.mvcd_attention = mvcd_attention
-        self.cd_attention_mid = cd_attention_mid
-        self.rowwise_attention = multiview_attention and rowwise_attention
-
-        if mvcd_attention and (not cd_attention_mid):
-        # add cross domain attn to self attn
-            self.attn1 = CustomJointAttention(
-                query_dim=dim,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-                upcast_attention=upcast_attention,
-                processor=JointAttnProcessor()
-            )
-        else:
-            self.attn1 = Attention(
-                query_dim=dim,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-                upcast_attention=upcast_attention
-            )
-        # 1.1 rowwise multiview attention
-        if self.rowwise_attention:
-            # print('INFO: using self+row_wise mv attention...')
-            self.norm_mv = (
-                    AdaLayerNorm(dim, num_embeds_ada_norm)
-                    if self.use_ada_layer_norm
-                    else nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-            )
-            self.attn_mv = CustomAttention(
-                    query_dim=dim,
-                    heads=num_attention_heads,
-                    dim_head=attention_head_dim,
-                    dropout=dropout,
-                    bias=attention_bias,
-                    cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-                    upcast_attention=upcast_attention,
-                    processor=MVAttnProcessor() 
-                )
-            nn.init.zeros_(self.attn_mv.to_out[0].weight.data)
-        else:
-            self.norm_mv = None
-            self.attn_mv = None
-
-        # # 1.2 rowwise cross-domain attn
-        # if mvcd_attention:
-        #     self.attn_joint = CustomJointAttention(
-        #         query_dim=dim,
-        #         heads=num_attention_heads,
-        #         dim_head=attention_head_dim,
-        #         dropout=dropout,
-        #         bias=attention_bias,
-        #         cross_attention_dim=cross_attention_dim if only_cross_attention else None,
-        #         upcast_attention=upcast_attention,
-        #         processor=JointAttnProcessor()
-        #     )
-        #     nn.init.zeros_(self.attn_joint.to_out[0].weight.data)
-        #     self.norm_joint = AdaLayerNorm(dim, num_embeds_ada_norm) if self.use_ada_layer_norm else nn.LayerNorm(dim)
-        # else:
-        #     self.attn_joint = None
-        #     self.norm_joint = None
-            
-        # 2. Cross-Attn
-        if cross_attention_dim is not None or double_self_attention:
-            # We currently only use AdaLayerNormZero for self attention where there will only be one attention block.
-            # I.e. the number of returned modulation chunks from AdaLayerZero would not make sense if returned during
-            # the second cross attention block.
-            self.norm2 = (
-                AdaLayerNorm(dim, num_embeds_ada_norm)
-                if self.use_ada_layer_norm
-                else nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-            )
-            self.attn2 = Attention(
-                query_dim=dim,
-                cross_attention_dim=cross_attention_dim if not double_self_attention else None,
-                heads=num_attention_heads,
-                dim_head=attention_head_dim,
-                dropout=dropout,
-                bias=attention_bias,
-                upcast_attention=upcast_attention,
-            )  # is self-attn if encoder_hidden_states is none
-        else:
-            self.norm2 = None
-            self.attn2 = None
-
-        # 3. Feed-forward
-        self.norm3 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine)
-        self.ff = FeedForward(dim, dropout=dropout, activation_fn=activation_fn, final_dropout=final_dropout)
-
-        # let chunk size default to None
-        self._chunk_size = None
-        self._chunk_dim = 0
-
-        self.num_views = num_views
-
-       
-    def set_chunk_feed_forward(self, chunk_size: Optional[int], dim: int):
-        # Sets chunk feed-forward
-        self._chunk_size = chunk_size
-        self._chunk_dim = dim
-
-    def forward(
-        self,
-        hidden_states: torch.FloatTensor,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        encoder_hidden_states: Optional[torch.FloatTensor] = None,
-        encoder_attention_mask: Optional[torch.FloatTensor] = None,
-        timestep: Optional[torch.LongTensor] = None,
-        cross_attention_kwargs: Dict[str, Any] = None,
-        class_labels: Optional[torch.LongTensor] = None,
-        dino_feature: Optional[torch.FloatTensor] = None
-    ):
-        assert attention_mask is None # not supported yet
-        # Notice that normalization is always applied before the real computation in the following blocks.
-        # 1. Self-Attention
-        if self.use_ada_layer_norm:
-            norm_hidden_states = self.norm1(hidden_states, timestep)
-        elif self.use_ada_layer_norm_zero:
-            norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(
-                hidden_states, timestep, class_labels, hidden_dtype=hidden_states.dtype
-            )
-        else:
-            norm_hidden_states = self.norm1(hidden_states)
-
-        cross_attention_kwargs = cross_attention_kwargs if cross_attention_kwargs is not None else {}
-
-        attn_output = self.attn1(
-            norm_hidden_states,
-            encoder_hidden_states=encoder_hidden_states if self.only_cross_attention else None,
-            attention_mask=attention_mask,
-            # multiview_attention=self.multiview_attention,
-            # mvcd_attention=self.mvcd_attention,
-            **cross_attention_kwargs,
-        )
-
-
-        if self.use_ada_layer_norm_zero:
-            attn_output = gate_msa.unsqueeze(1) * attn_output
-        hidden_states = attn_output + hidden_states
-        
-        # import pdb;pdb.set_trace()
-        # 1.1 row wise multiview attention
-        if self.rowwise_attention:
-            norm_hidden_states = (
-                self.norm_mv(hidden_states, timestep) if self.use_ada_layer_norm else self.norm_mv(hidden_states)
-            )
-            attn_output = self.attn_mv(
-                norm_hidden_states,
-                encoder_hidden_states=encoder_hidden_states if self.only_cross_attention else None,
-                attention_mask=attention_mask,
-                num_views=self.num_views,
-                multiview_attention=self.multiview_attention,
-                cd_attention_mid=self.cd_attention_mid,
-                **cross_attention_kwargs,
-                )
-            hidden_states = attn_output + hidden_states 
-            
-    
-        # 2. Cross-Attention
-        if self.attn2 is not None:
-            norm_hidden_states = (
-                self.norm2(hidden_states, timestep) if self.use_ada_layer_norm else self.norm2(hidden_states)
-            )
-
-            attn_output = self.attn2(
-                norm_hidden_states,
-                encoder_hidden_states=encoder_hidden_states,
-                attention_mask=encoder_attention_mask,
-                **cross_attention_kwargs,
-            )
-            hidden_states = attn_output + hidden_states
-
-        # 3. Feed-forward
-        norm_hidden_states = self.norm3(hidden_states)
-
-        if self.use_ada_layer_norm_zero:
-            norm_hidden_states = norm_hidden_states * (1 + scale_mlp[:, None]) + shift_mlp[:, None]
-
-        if self._chunk_size is not None:
-            # "feed_forward_chunk_size" can be used to save memory
-            if norm_hidden_states.shape[self._chunk_dim] % self._chunk_size != 0:
-                raise ValueError(
-                    f"`hidden_states` dimension to be chunked: {norm_hidden_states.shape[self._chunk_dim]} has to be divisible by chunk size: {self._chunk_size}. Make sure to set an appropriate `chunk_size` when calling `unet.enable_forward_chunking`."
-                )
-
-            num_chunks = norm_hidden_states.shape[self._chunk_dim] // self._chunk_size
-            ff_output = torch.cat(
-                [self.ff(hid_slice) for hid_slice in norm_hidden_states.chunk(num_chunks, dim=self._chunk_dim)],
-                dim=self._chunk_dim,
-            )
-        else:
-            ff_output = self.ff(norm_hidden_states)
-
-        if self.use_ada_layer_norm_zero:
-            ff_output = gate_mlp.unsqueeze(1) * ff_output
-
-        hidden_states = ff_output + hidden_states
-
-        return hidden_states
-    
-
-class CustomAttention(Attention):
-    def set_use_memory_efficient_attention_xformers(
-        self, use_memory_efficient_attention_xformers: bool, *args, **kwargs
-    ):
-        processor = XFormersMVAttnProcessor()
-        self.set_processor(processor)
-        # print("using xformers attention processor")
-
-
-class CustomJointAttention(Attention):
-    def set_use_memory_efficient_attention_xformers(
-        self, use_memory_efficient_attention_xformers: bool, *args, **kwargs
-    ):
-        processor = XFormersJointAttnProcessor()
-        self.set_processor(processor)
-        # print("using xformers attention processor")
-
-class MVAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_views=1,
-        cd_attention_mid=False
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        height = int(math.sqrt(sequence_length)) 
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        # print('query', query.shape, 'key', key.shape, 'value', value.shape)
-        #([bx4, 1024, 320]) key torch.Size([bx4, 1024, 320]) value torch.Size([bx4, 1024, 320])
-        # pdb.set_trace()
-        # multi-view self-attention
-        def transpose(tensor):
-            tensor = rearrange(tensor, "(b v) (h w) c -> b v h w c", v=num_views, h=height)
-            tensor_0, tensor_1 = torch.chunk(tensor, dim=0, chunks=2)  # b v h w c
-            tensor = torch.cat([tensor_0, tensor_1], dim=3)  # b v h 2w c
-            tensor = rearrange(tensor, "b v h w c -> (b h) (v w) c", v=num_views, h=height)
-            return tensor
-
-        if cd_attention_mid:
-            key = transpose(key)
-            value = transpose(value)
-            query = transpose(query)
-        else:
-            key = rearrange(key, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) 
-            value = rearrange(value, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height)
-            query = rearrange(query, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) # torch.Size([192, 384, 320])
-
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-        
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-        if cd_attention_mid:
-            hidden_states = rearrange(hidden_states, "(b h) (v w) c -> b v h w c", v=num_views, h=height)
-            hidden_states_0, hidden_states_1 = torch.chunk(hidden_states, dim=3, chunks=2)  # b v h w c
-            hidden_states = torch.cat([hidden_states_0, hidden_states_1], dim=0)  # 2b v h w c
-            hidden_states = rearrange(hidden_states, "b v h w c -> (b v) (h w) c", v=num_views, h=height) 
-        else:
-            hidden_states = rearrange(hidden_states, "(b h) (v w) c -> (b v) (h w) c", v=num_views, h=height)
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class XFormersMVAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_views=1,
-        multiview_attention=True,
-        cd_attention_mid=False
-    ):
-        # print(num_views)
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        height = int(math.sqrt(sequence_length)) 
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-        # from yuancheng; here attention_mask is None
-        if attention_mask is not None:
-            # expand our mask's singleton query_tokens dimension:
-            #   [batch*heads,            1, key_tokens] ->
-            #   [batch*heads, query_tokens, key_tokens]
-            # so that it can be added as a bias onto the attention scores that xformers computes:
-            #   [batch*heads, query_tokens, key_tokens]
-            # we do this explicitly because xformers doesn't broadcast the singleton dimension for us.
-            _, query_tokens, _ = hidden_states.shape
-            attention_mask = attention_mask.expand(-1, query_tokens, -1)
-
-        if attn.group_norm is not None:
-            print('Warning: using group norm, pay attention to use it in row-wise attention')
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key_raw = attn.to_k(encoder_hidden_states)
-        value_raw = attn.to_v(encoder_hidden_states)
-
-        # print('query', query.shape, 'key', key.shape, 'value', value.shape)
-        # pdb.set_trace()
-        def transpose(tensor):
-            tensor = rearrange(tensor, "(b v) (h w) c -> b v h w c", v=num_views, h=height)
-            tensor_0, tensor_1 = torch.chunk(tensor, dim=0, chunks=2)  # b v h w c
-            tensor = torch.cat([tensor_0, tensor_1], dim=3)  # b v h 2w c
-            tensor = rearrange(tensor, "b v h w c -> (b h) (v w) c", v=num_views, h=height)
-            return tensor
-        # print(mvcd_attention)
-        # import pdb;pdb.set_trace()
-        if cd_attention_mid:
-            key = transpose(key_raw)
-            value = transpose(value_raw)
-            query = transpose(query)
-        else:
-            key = rearrange(key_raw, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) 
-            value = rearrange(value_raw, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height)
-            query = rearrange(query, "(b v) (h w) c -> (b h) (v w) c", v=num_views, h=height) # torch.Size([192, 384, 320])
-
-
-        query = attn.head_to_batch_dim(query) # torch.Size([960, 384, 64])
-        key = attn.head_to_batch_dim(key)
-        value = attn.head_to_batch_dim(value)
-
-        hidden_states = xformers.ops.memory_efficient_attention(query, key, value, attn_bias=attention_mask)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if cd_attention_mid:
-            hidden_states = rearrange(hidden_states, "(b h) (v w) c -> b v h w c", v=num_views, h=height)
-            hidden_states_0, hidden_states_1 = torch.chunk(hidden_states, dim=3, chunks=2)  # b v h w c
-            hidden_states = torch.cat([hidden_states_0, hidden_states_1], dim=0)  # 2b v h w c
-            hidden_states = rearrange(hidden_states, "b v h w c -> (b v) (h w) c", v=num_views, h=height) 
-        else:
-            hidden_states = rearrange(hidden_states, "(b h) (v w) c -> (b v) (h w) c", v=num_views, h=height)
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class XFormersJointAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_tasks=2
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        # from yuancheng; here attention_mask is None
-        if attention_mask is not None:
-            # expand our mask's singleton query_tokens dimension:
-            #   [batch*heads,            1, key_tokens] ->
-            #   [batch*heads, query_tokens, key_tokens]
-            # so that it can be added as a bias onto the attention scores that xformers computes:
-            #   [batch*heads, query_tokens, key_tokens]
-            # we do this explicitly because xformers doesn't broadcast the singleton dimension for us.
-            _, query_tokens, _ = hidden_states.shape
-            attention_mask = attention_mask.expand(-1, query_tokens, -1)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        assert num_tasks == 2  # only support two tasks now
-
-        def transpose(tensor):
-            tensor_0, tensor_1 = torch.chunk(tensor, dim=0, chunks=2)  # bv hw c
-            tensor = torch.cat([tensor_0, tensor_1], dim=1)  # bv 2hw c
-            return tensor 
-        key  = transpose(key)
-        value = transpose(value)
-        query = transpose(query)
-        # from icecream import ic
-        # ic(key.shape, value.shape, query.shape)
-        # import pdb;pdb.set_trace()
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-
-        hidden_states = xformers.ops.memory_efficient_attention(query, key, value, attn_bias=attention_mask)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-        hidden_states_normal, hidden_states_color = torch.chunk(hidden_states, dim=1, chunks=2)
-        hidden_states = torch.cat([hidden_states_normal, hidden_states_color], dim=0)  # 2bv hw c
-        
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
-
-
-class JointAttnProcessor:
-    r"""
-    Default processor for performing attention-related computations.
-    """
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        num_tasks=2
-    ):
-        
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        assert num_tasks == 2  # only support two tasks now
-
-        def transpose(tensor):
-            tensor_0, tensor_1 = torch.chunk(tensor, dim=0, chunks=2)  # bv hw c
-            tensor = torch.cat([tensor_0, tensor_1], dim=1)  # bv 2hw c
-            return tensor 
-        key  = transpose(key)
-        value = transpose(value)
-        query = transpose(query)
-
-        
-        query = attn.head_to_batch_dim(query).contiguous()
-        key = attn.head_to_batch_dim(key).contiguous()
-        value = attn.head_to_batch_dim(value).contiguous()
-
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        hidden_states = torch.cat([hidden_states[:, 0], hidden_states[:, 1]], dim=0)  # 2bv hw c
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-        
-        return hidden_states
\ No newline at end of file
diff --git a/mvdiffusion/models/unet_mv2d_blocks.py b/mvdiffusion/models/unet_mv2d_blocks.py
deleted file mode 100644
index ff3df586861ecfa11df2ff3377cdf4ea05d66e52..0000000000000000000000000000000000000000
--- a/mvdiffusion/models/unet_mv2d_blocks.py
+++ /dev/null
@@ -1,971 +0,0 @@
-# Copyright 2023 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from typing import Any, Dict, Optional, Tuple
-
-import numpy as np
-import torch
-import torch.nn.functional as F
-from torch import nn
-
-from diffusers.utils import is_torch_version, logging
-from diffusers.models.normalization import AdaGroupNorm
-from diffusers.models.attention_processor import Attention, AttnAddedKVProcessor, AttnAddedKVProcessor2_0
-from diffusers.models.dual_transformer_2d import DualTransformer2DModel
-from diffusers.models.resnet import Downsample2D, FirDownsample2D, FirUpsample2D, KDownsample2D, KUpsample2D, ResnetBlock2D, Upsample2D
-
-from diffusers.models.unets.unet_2d_blocks import DownBlock2D, ResnetDownsampleBlock2D, AttnDownBlock2D, CrossAttnDownBlock2D, SimpleCrossAttnDownBlock2D, SkipDownBlock2D, AttnSkipDownBlock2D, DownEncoderBlock2D, AttnDownEncoderBlock2D, KDownBlock2D, KCrossAttnDownBlock2D
-from diffusers.models.unets.unet_2d_blocks import UpBlock2D, ResnetUpsampleBlock2D, CrossAttnUpBlock2D, SimpleCrossAttnUpBlock2D, AttnUpBlock2D, SkipUpBlock2D, AttnSkipUpBlock2D, UpDecoderBlock2D, AttnUpDecoderBlock2D, KUpBlock2D, KCrossAttnUpBlock2D
-
-
-logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
-
-
-def get_down_block(
-    down_block_type,
-    num_layers,
-    in_channels,
-    out_channels,
-    temb_channels,
-    add_downsample,
-    resnet_eps,
-    resnet_act_fn,
-    transformer_layers_per_block=1,
-    num_attention_heads=None,
-    resnet_groups=None,
-    cross_attention_dim=None,
-    downsample_padding=None,
-    dual_cross_attention=False,
-    use_linear_projection=False,
-    only_cross_attention=False,
-    upcast_attention=False,
-    resnet_time_scale_shift="default",
-    resnet_skip_time_act=False,
-    resnet_out_scale_factor=1.0,
-    cross_attention_norm=None,
-    attention_head_dim=None,
-    downsample_type=None,
-    num_views=1,
-    cd_attention_last: bool = False,
-    cd_attention_mid: bool = False,
-    multiview_attention: bool = True,
-    sparse_mv_attention: bool = False,
-    selfattn_block: str = "custom",
-    mvcd_attention: bool=False,
-    use_dino: bool = False
-):
-    # If attn head dim is not defined, we default it to the number of heads
-    if attention_head_dim is None:
-        logger.warn(
-            f"It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to {num_attention_heads}."
-        )
-        attention_head_dim = num_attention_heads
-
-    down_block_type = down_block_type[7:] if down_block_type.startswith("UNetRes") else down_block_type
-    if down_block_type == "DownBlock2D":
-        return DownBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            downsample_padding=downsample_padding,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif down_block_type == "ResnetDownsampleBlock2D":
-        return ResnetDownsampleBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            skip_time_act=resnet_skip_time_act,
-            output_scale_factor=resnet_out_scale_factor,
-        )
-    elif down_block_type == "AttnDownBlock2D":
-        if add_downsample is False:
-            downsample_type = None
-        else:
-            downsample_type = downsample_type or "conv"  # default to 'conv'
-        return AttnDownBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            downsample_padding=downsample_padding,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            downsample_type=downsample_type,
-        )
-    elif down_block_type == "CrossAttnDownBlock2D":
-        if cross_attention_dim is None:
-            raise ValueError("cross_attention_dim must be specified for CrossAttnDownBlock2D")
-        return CrossAttnDownBlock2D(
-            num_layers=num_layers,
-            transformer_layers_per_block=transformer_layers_per_block,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            downsample_padding=downsample_padding,
-            cross_attention_dim=cross_attention_dim,
-            num_attention_heads=num_attention_heads,
-            dual_cross_attention=dual_cross_attention,
-            use_linear_projection=use_linear_projection,
-            only_cross_attention=only_cross_attention,
-            upcast_attention=upcast_attention,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    # custom MV2D attention block
-    elif down_block_type == "CrossAttnDownBlockMV2D":
-        if cross_attention_dim is None:
-            raise ValueError("cross_attention_dim must be specified for CrossAttnDownBlockMV2D")
-        return CrossAttnDownBlockMV2D(
-            num_layers=num_layers,
-            transformer_layers_per_block=transformer_layers_per_block,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            downsample_padding=downsample_padding,
-            cross_attention_dim=cross_attention_dim,
-            num_attention_heads=num_attention_heads,
-            dual_cross_attention=dual_cross_attention,
-            use_linear_projection=use_linear_projection,
-            only_cross_attention=only_cross_attention,
-            upcast_attention=upcast_attention,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            num_views=num_views,
-            cd_attention_last=cd_attention_last,
-            cd_attention_mid=cd_attention_mid,
-            multiview_attention=multiview_attention,
-            sparse_mv_attention=sparse_mv_attention,
-            selfattn_block=selfattn_block,
-            mvcd_attention=mvcd_attention,
-            use_dino=use_dino
-        )
-    elif down_block_type == "SimpleCrossAttnDownBlock2D":
-        if cross_attention_dim is None:
-            raise ValueError("cross_attention_dim must be specified for SimpleCrossAttnDownBlock2D")
-        return SimpleCrossAttnDownBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            cross_attention_dim=cross_attention_dim,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            skip_time_act=resnet_skip_time_act,
-            output_scale_factor=resnet_out_scale_factor,
-            only_cross_attention=only_cross_attention,
-            cross_attention_norm=cross_attention_norm,
-        )
-    elif down_block_type == "SkipDownBlock2D":
-        return SkipDownBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            downsample_padding=downsample_padding,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif down_block_type == "AttnSkipDownBlock2D":
-        return AttnSkipDownBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif down_block_type == "DownEncoderBlock2D":
-        return DownEncoderBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            downsample_padding=downsample_padding,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif down_block_type == "AttnDownEncoderBlock2D":
-        return AttnDownEncoderBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            downsample_padding=downsample_padding,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif down_block_type == "KDownBlock2D":
-        return KDownBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-        )
-    elif down_block_type == "KCrossAttnDownBlock2D":
-        return KCrossAttnDownBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_downsample=add_downsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            cross_attention_dim=cross_attention_dim,
-            attention_head_dim=attention_head_dim,
-            add_self_attention=True if not add_downsample else False,
-        )
-    raise ValueError(f"{down_block_type} does not exist.")
-
-
-def get_up_block(
-    up_block_type,
-    num_layers,
-    in_channels,
-    out_channels,
-    prev_output_channel,
-    temb_channels,
-    add_upsample,
-    resnet_eps,
-    resnet_act_fn,
-    transformer_layers_per_block=1,
-    num_attention_heads=None,
-    resnet_groups=None,
-    cross_attention_dim=None,
-    dual_cross_attention=False,
-    use_linear_projection=False,
-    only_cross_attention=False,
-    upcast_attention=False,
-    resnet_time_scale_shift="default",
-    resnet_skip_time_act=False,
-    resnet_out_scale_factor=1.0,
-    cross_attention_norm=None,
-    attention_head_dim=None,
-    upsample_type=None,
-    num_views=1,
-    cd_attention_last: bool = False,
-    cd_attention_mid: bool = False,
-    multiview_attention: bool = True,
-    sparse_mv_attention: bool = False,
-    selfattn_block: str = "custom",
-    mvcd_attention: bool=False,
-    use_dino: bool = False  
-):
-    # If attn head dim is not defined, we default it to the number of heads
-    if attention_head_dim is None:
-        logger.warn(
-            f"It is recommended to provide `attention_head_dim` when calling `get_up_block`. Defaulting `attention_head_dim` to {num_attention_heads}."
-        )
-        attention_head_dim = num_attention_heads
-
-    up_block_type = up_block_type[7:] if up_block_type.startswith("UNetRes") else up_block_type
-    if up_block_type == "UpBlock2D":
-        return UpBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif up_block_type == "ResnetUpsampleBlock2D":
-        return ResnetUpsampleBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            skip_time_act=resnet_skip_time_act,
-            output_scale_factor=resnet_out_scale_factor,
-        )
-    elif up_block_type == "CrossAttnUpBlock2D":
-        if cross_attention_dim is None:
-            raise ValueError("cross_attention_dim must be specified for CrossAttnUpBlock2D")
-        return CrossAttnUpBlock2D(
-            num_layers=num_layers,
-            transformer_layers_per_block=transformer_layers_per_block,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            cross_attention_dim=cross_attention_dim,
-            num_attention_heads=num_attention_heads,
-            dual_cross_attention=dual_cross_attention,
-            use_linear_projection=use_linear_projection,
-            only_cross_attention=only_cross_attention,
-            upcast_attention=upcast_attention,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    # custom MV2D attention block
-    elif up_block_type == "CrossAttnUpBlockMV2D":
-        if cross_attention_dim is None:
-            raise ValueError("cross_attention_dim must be specified for CrossAttnUpBlockMV2D")
-        return CrossAttnUpBlockMV2D(
-            num_layers=num_layers,
-            transformer_layers_per_block=transformer_layers_per_block,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            cross_attention_dim=cross_attention_dim,
-            num_attention_heads=num_attention_heads,
-            dual_cross_attention=dual_cross_attention,
-            use_linear_projection=use_linear_projection,
-            only_cross_attention=only_cross_attention,
-            upcast_attention=upcast_attention,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            num_views=num_views,
-            cd_attention_last=cd_attention_last,
-            cd_attention_mid=cd_attention_mid,
-            multiview_attention=multiview_attention,
-            sparse_mv_attention=sparse_mv_attention,
-            selfattn_block=selfattn_block,
-            mvcd_attention=mvcd_attention,
-            use_dino=use_dino
-        )    
-    elif up_block_type == "SimpleCrossAttnUpBlock2D":
-        if cross_attention_dim is None:
-            raise ValueError("cross_attention_dim must be specified for SimpleCrossAttnUpBlock2D")
-        return SimpleCrossAttnUpBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            cross_attention_dim=cross_attention_dim,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            skip_time_act=resnet_skip_time_act,
-            output_scale_factor=resnet_out_scale_factor,
-            only_cross_attention=only_cross_attention,
-            cross_attention_norm=cross_attention_norm,
-        )
-    elif up_block_type == "AttnUpBlock2D":
-        if add_upsample is False:
-            upsample_type = None
-        else:
-            upsample_type = upsample_type or "conv"  # default to 'conv'
-
-        return AttnUpBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            upsample_type=upsample_type,
-        )
-    elif up_block_type == "SkipUpBlock2D":
-        return SkipUpBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif up_block_type == "AttnSkipUpBlock2D":
-        return AttnSkipUpBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            prev_output_channel=prev_output_channel,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-        )
-    elif up_block_type == "UpDecoderBlock2D":
-        return UpDecoderBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            temb_channels=temb_channels,
-        )
-    elif up_block_type == "AttnUpDecoderBlock2D":
-        return AttnUpDecoderBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            resnet_groups=resnet_groups,
-            attention_head_dim=attention_head_dim,
-            resnet_time_scale_shift=resnet_time_scale_shift,
-            temb_channels=temb_channels,
-        )
-    elif up_block_type == "KUpBlock2D":
-        return KUpBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-        )
-    elif up_block_type == "KCrossAttnUpBlock2D":
-        return KCrossAttnUpBlock2D(
-            num_layers=num_layers,
-            in_channels=in_channels,
-            out_channels=out_channels,
-            temb_channels=temb_channels,
-            add_upsample=add_upsample,
-            resnet_eps=resnet_eps,
-            resnet_act_fn=resnet_act_fn,
-            cross_attention_dim=cross_attention_dim,
-            attention_head_dim=attention_head_dim,
-        )
-
-    raise ValueError(f"{up_block_type} does not exist.")
-
-
-class UNetMidBlockMV2DCrossAttn(nn.Module):
-    def __init__(
-        self,
-        in_channels: int,
-        temb_channels: int,
-        dropout: float = 0.0,
-        num_layers: int = 1,
-        transformer_layers_per_block: int = 1,
-        resnet_eps: float = 1e-6,
-        resnet_time_scale_shift: str = "default",
-        resnet_act_fn: str = "swish",
-        resnet_groups: int = 32,
-        resnet_pre_norm: bool = True,
-        num_attention_heads=1,
-        output_scale_factor=1.0,
-        cross_attention_dim=1280,
-        dual_cross_attention=False,
-        use_linear_projection=False,
-        upcast_attention=False,
-        num_views: int = 1,
-        cd_attention_last: bool = False,
-        cd_attention_mid: bool = False,
-        multiview_attention: bool = True,
-        sparse_mv_attention: bool = False,
-        selfattn_block: str = "custom", 
-        mvcd_attention: bool=False,
-        use_dino: bool = False
-    ):
-        super().__init__()
-
-        self.has_cross_attention = True
-        self.num_attention_heads = num_attention_heads
-        resnet_groups = resnet_groups if resnet_groups is not None else min(in_channels // 4, 32)
-        if selfattn_block == "custom":
-            from .transformer_mv2d import TransformerMV2DModel
-        elif selfattn_block == "rowwise":
-            from .transformer_mv2d_rowwise import TransformerMV2DModel
-        elif selfattn_block == "self_rowwise":
-            from .transformer_mv2d_self_rowwise import TransformerMV2DModel
-        else:
-            raise NotImplementedError
-        
-        # there is always at least one resnet
-        resnets = [
-            ResnetBlock2D(
-                in_channels=in_channels,
-                out_channels=in_channels,
-                temb_channels=temb_channels,
-                eps=resnet_eps,
-                groups=resnet_groups,
-                dropout=dropout,
-                time_embedding_norm=resnet_time_scale_shift,
-                non_linearity=resnet_act_fn,
-                output_scale_factor=output_scale_factor,
-                pre_norm=resnet_pre_norm,
-            )
-        ]
-        attentions = []
-
-        for _ in range(num_layers):
-            if not dual_cross_attention:
-                attentions.append(
-                    TransformerMV2DModel(
-                        num_attention_heads,
-                        in_channels // num_attention_heads,
-                        in_channels=in_channels,
-                        num_layers=transformer_layers_per_block,
-                        cross_attention_dim=cross_attention_dim,
-                        norm_num_groups=resnet_groups,
-                        use_linear_projection=use_linear_projection,
-                        upcast_attention=upcast_attention,
-                        num_views=num_views,
-                        cd_attention_last=cd_attention_last,
-                        cd_attention_mid=cd_attention_mid,
-                        multiview_attention=multiview_attention,
-                        sparse_mv_attention=sparse_mv_attention,
-                        mvcd_attention=mvcd_attention,
-                        use_dino=use_dino
-                    )
-                )
-            else:
-                raise NotImplementedError
-            resnets.append(
-                ResnetBlock2D(
-                    in_channels=in_channels,
-                    out_channels=in_channels,
-                    temb_channels=temb_channels,
-                    eps=resnet_eps,
-                    groups=resnet_groups,
-                    dropout=dropout,
-                    time_embedding_norm=resnet_time_scale_shift,
-                    non_linearity=resnet_act_fn,
-                    output_scale_factor=output_scale_factor,
-                    pre_norm=resnet_pre_norm,
-                )
-            )
-
-        self.attentions = nn.ModuleList(attentions)
-        self.resnets = nn.ModuleList(resnets)
-
-    def forward(
-        self,
-        hidden_states: torch.FloatTensor,
-        temb: Optional[torch.FloatTensor] = None,
-        encoder_hidden_states: Optional[torch.FloatTensor] = None,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        encoder_attention_mask: Optional[torch.FloatTensor] = None,
-        dino_feature: Optional[torch.FloatTensor] = None
-    ) -> torch.FloatTensor:
-        hidden_states = self.resnets[0](hidden_states, temb)
-        for attn, resnet in zip(self.attentions, self.resnets[1:]):
-            hidden_states = attn(
-                hidden_states,
-                encoder_hidden_states=encoder_hidden_states,
-                cross_attention_kwargs=cross_attention_kwargs,
-                attention_mask=attention_mask,
-                encoder_attention_mask=encoder_attention_mask,
-                dino_feature=dino_feature,
-                return_dict=False,
-            )[0]
-            hidden_states = resnet(hidden_states, temb)
-
-        return hidden_states
-
-
-class CrossAttnUpBlockMV2D(nn.Module):
-    def __init__(
-        self,
-        in_channels: int,
-        out_channels: int,
-        prev_output_channel: int,
-        temb_channels: int,
-        dropout: float = 0.0,
-        num_layers: int = 1,
-        transformer_layers_per_block: int = 1,
-        resnet_eps: float = 1e-6,
-        resnet_time_scale_shift: str = "default",
-        resnet_act_fn: str = "swish",
-        resnet_groups: int = 32,
-        resnet_pre_norm: bool = True,
-        num_attention_heads=1,
-        cross_attention_dim=1280,
-        output_scale_factor=1.0,
-        add_upsample=True,
-        dual_cross_attention=False,
-        use_linear_projection=False,
-        only_cross_attention=False,
-        upcast_attention=False,
-        num_views: int = 1,
-        cd_attention_last: bool = False,
-        cd_attention_mid: bool = False,
-        multiview_attention: bool = True,
-        sparse_mv_attention: bool = False,
-        selfattn_block: str = "custom",
-        mvcd_attention: bool=False,
-        use_dino: bool = False
-    ):
-        super().__init__()
-        resnets = []
-        attentions = []
-
-        self.has_cross_attention = True
-        self.num_attention_heads = num_attention_heads
-
-        if selfattn_block == "custom":
-            from .transformer_mv2d import TransformerMV2DModel
-        elif selfattn_block == "rowwise":
-            from .transformer_mv2d_rowwise import TransformerMV2DModel
-        elif selfattn_block == "self_rowwise":
-            from .transformer_mv2d_self_rowwise import TransformerMV2DModel
-        else:
-            raise NotImplementedError
-        
-        for i in range(num_layers):
-            res_skip_channels = in_channels if (i == num_layers - 1) else out_channels
-            resnet_in_channels = prev_output_channel if i == 0 else out_channels
-
-            resnets.append(
-                ResnetBlock2D(
-                    in_channels=resnet_in_channels + res_skip_channels,
-                    out_channels=out_channels,
-                    temb_channels=temb_channels,
-                    eps=resnet_eps,
-                    groups=resnet_groups,
-                    dropout=dropout,
-                    time_embedding_norm=resnet_time_scale_shift,
-                    non_linearity=resnet_act_fn,
-                    output_scale_factor=output_scale_factor,
-                    pre_norm=resnet_pre_norm,
-                )
-            )
-            if not dual_cross_attention:
-                attentions.append(
-                    TransformerMV2DModel(
-                        num_attention_heads,
-                        out_channels // num_attention_heads,
-                        in_channels=out_channels,
-                        num_layers=transformer_layers_per_block,
-                        cross_attention_dim=cross_attention_dim,
-                        norm_num_groups=resnet_groups,
-                        use_linear_projection=use_linear_projection,
-                        only_cross_attention=only_cross_attention,
-                        upcast_attention=upcast_attention,
-                        num_views=num_views,
-                        cd_attention_last=cd_attention_last,
-                        cd_attention_mid=cd_attention_mid,
-                        multiview_attention=multiview_attention,
-                        sparse_mv_attention=sparse_mv_attention,
-                        mvcd_attention=mvcd_attention,
-                        use_dino=use_dino
-                    )
-                )
-            else:
-                raise NotImplementedError
-        self.attentions = nn.ModuleList(attentions)
-        self.resnets = nn.ModuleList(resnets)
-
-        if add_upsample:
-            self.upsamplers = nn.ModuleList([Upsample2D(out_channels, use_conv=True, out_channels=out_channels)])
-        else:
-            self.upsamplers = None
-
-        self.gradient_checkpointing = False
-
-    def forward(
-        self,
-        hidden_states: torch.FloatTensor,
-        res_hidden_states_tuple: Tuple[torch.FloatTensor, ...],
-        temb: Optional[torch.FloatTensor] = None,
-        encoder_hidden_states: Optional[torch.FloatTensor] = None,
-        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        upsample_size: Optional[int] = None,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        encoder_attention_mask: Optional[torch.FloatTensor] = None,
-        dino_feature: Optional[torch.FloatTensor] = None
-    ):
-        for resnet, attn in zip(self.resnets, self.attentions):
-            # pop res hidden states
-            res_hidden_states = res_hidden_states_tuple[-1]
-            res_hidden_states_tuple = res_hidden_states_tuple[:-1]
-            hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1)
-
-            if self.training and self.gradient_checkpointing:
-
-                def create_custom_forward(module, return_dict=None):
-                    def custom_forward(*inputs):
-                        if return_dict is not None:
-                            return module(*inputs, return_dict=return_dict)
-                        else:
-                            return module(*inputs)
-
-                    return custom_forward
-
-                ckpt_kwargs: Dict[str, Any] = {"use_reentrant": False} if is_torch_version(">=", "1.11.0") else {}
-                hidden_states = torch.utils.checkpoint.checkpoint(
-                    create_custom_forward(resnet),
-                    hidden_states,
-                    temb,
-                    **ckpt_kwargs,
-                )
-                hidden_states = torch.utils.checkpoint.checkpoint(
-                    create_custom_forward(attn, return_dict=False),
-                    hidden_states,
-                    encoder_hidden_states,
-                    dino_feature,
-                    None,  # timestep
-                    None,  # class_labels
-                    cross_attention_kwargs,
-                    attention_mask,
-                    encoder_attention_mask,
-                    **ckpt_kwargs,
-                )[0]
-            else:
-                hidden_states = resnet(hidden_states, temb)
-                hidden_states = attn(
-                    hidden_states,
-                    encoder_hidden_states=encoder_hidden_states,
-                    cross_attention_kwargs=cross_attention_kwargs,
-                    attention_mask=attention_mask,
-                    encoder_attention_mask=encoder_attention_mask,
-                    dino_feature=dino_feature,
-                    return_dict=False,
-                )[0]
-
-        if self.upsamplers is not None:
-            for upsampler in self.upsamplers:
-                hidden_states = upsampler(hidden_states, upsample_size)
-
-        return hidden_states
-
-
-class CrossAttnDownBlockMV2D(nn.Module):
-    def __init__(
-        self,
-        in_channels: int,
-        out_channels: int,
-        temb_channels: int,
-        dropout: float = 0.0,
-        num_layers: int = 1,
-        transformer_layers_per_block: int = 1,
-        resnet_eps: float = 1e-6,
-        resnet_time_scale_shift: str = "default",
-        resnet_act_fn: str = "swish",
-        resnet_groups: int = 32,
-        resnet_pre_norm: bool = True,
-        num_attention_heads=1,
-        cross_attention_dim=1280,
-        output_scale_factor=1.0,
-        downsample_padding=1,
-        add_downsample=True,
-        dual_cross_attention=False,
-        use_linear_projection=False,
-        only_cross_attention=False,
-        upcast_attention=False,
-        num_views: int = 1,
-        cd_attention_last: bool = False,
-        cd_attention_mid: bool = False,
-        multiview_attention: bool = True,
-        sparse_mv_attention: bool = False,
-        selfattn_block: str = "custom",
-        mvcd_attention: bool=False,
-        use_dino: bool = False
-    ):
-        super().__init__()
-        resnets = []
-        attentions = []
-
-        self.has_cross_attention = True
-        self.num_attention_heads = num_attention_heads
-        if selfattn_block == "custom":
-            from .transformer_mv2d import TransformerMV2DModel
-        elif selfattn_block == "rowwise":
-            from .transformer_mv2d_rowwise import TransformerMV2DModel
-        elif selfattn_block == "self_rowwise":
-            from .transformer_mv2d_self_rowwise import TransformerMV2DModel
-        else:
-            raise NotImplementedError
-        
-        for i in range(num_layers):
-            in_channels = in_channels if i == 0 else out_channels
-            resnets.append(
-                ResnetBlock2D(
-                    in_channels=in_channels,
-                    out_channels=out_channels,
-                    temb_channels=temb_channels,
-                    eps=resnet_eps,
-                    groups=resnet_groups,
-                    dropout=dropout,
-                    time_embedding_norm=resnet_time_scale_shift,
-                    non_linearity=resnet_act_fn,
-                    output_scale_factor=output_scale_factor,
-                    pre_norm=resnet_pre_norm,
-                )
-            )
-            if not dual_cross_attention:
-                attentions.append(
-                    TransformerMV2DModel(
-                        num_attention_heads,
-                        out_channels // num_attention_heads,
-                        in_channels=out_channels,
-                        num_layers=transformer_layers_per_block,
-                        cross_attention_dim=cross_attention_dim,
-                        norm_num_groups=resnet_groups,
-                        use_linear_projection=use_linear_projection,
-                        only_cross_attention=only_cross_attention,
-                        upcast_attention=upcast_attention,
-                        num_views=num_views,
-                        cd_attention_last=cd_attention_last,
-                        cd_attention_mid=cd_attention_mid,
-                        multiview_attention=multiview_attention,
-                        sparse_mv_attention=sparse_mv_attention,
-                        mvcd_attention=mvcd_attention,
-                        use_dino=use_dino
-                    )
-                )
-            else:
-                raise NotImplementedError
-        self.attentions = nn.ModuleList(attentions)
-        self.resnets = nn.ModuleList(resnets)
-
-        if add_downsample:
-            self.downsamplers = nn.ModuleList(
-                [
-                    Downsample2D(
-                        out_channels, use_conv=True, out_channels=out_channels, padding=downsample_padding, name="op"
-                    )
-                ]
-            )
-        else:
-            self.downsamplers = None
-
-        self.gradient_checkpointing = False
-
-    def forward(
-        self,
-        hidden_states: torch.FloatTensor,
-        temb: Optional[torch.FloatTensor] = None,
-        encoder_hidden_states: Optional[torch.FloatTensor] = None,
-        dino_feature: Optional[torch.FloatTensor] = None,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        encoder_attention_mask: Optional[torch.FloatTensor] = None,
-        additional_residuals=None,
-    ):
-        output_states = ()
-
-        blocks = list(zip(self.resnets, self.attentions))
-
-        for i, (resnet, attn) in enumerate(blocks):
-            if self.training and self.gradient_checkpointing:
-
-                def create_custom_forward(module, return_dict=None):
-                    def custom_forward(*inputs):
-                        if return_dict is not None:
-                            return module(*inputs, return_dict=return_dict)
-                        else:
-                            return module(*inputs)
-
-                    return custom_forward
-
-                ckpt_kwargs: Dict[str, Any] = {"use_reentrant": False} if is_torch_version(">=", "1.11.0") else {}
-                hidden_states = torch.utils.checkpoint.checkpoint(
-                    create_custom_forward(resnet),
-                    hidden_states,
-                    temb,
-                    **ckpt_kwargs,
-                )
-                hidden_states = torch.utils.checkpoint.checkpoint(
-                    create_custom_forward(attn, return_dict=False),
-                    hidden_states,
-                    encoder_hidden_states,
-                    dino_feature,
-                    None,  # timestep
-                    None,  # class_labels
-                    cross_attention_kwargs,
-                    attention_mask,
-                    encoder_attention_mask,
-                    **ckpt_kwargs,
-                )[0]
-            else:
-                hidden_states = resnet(hidden_states, temb)
-                hidden_states = attn(
-                    hidden_states,
-                    encoder_hidden_states=encoder_hidden_states,
-                    dino_feature=dino_feature,
-                    cross_attention_kwargs=cross_attention_kwargs,
-                    attention_mask=attention_mask,
-                    encoder_attention_mask=encoder_attention_mask,
-                    return_dict=False,
-                )[0]
-
-            # apply additional residuals to the output of the last pair of resnet and attention blocks
-            if i == len(blocks) - 1 and additional_residuals is not None:
-                hidden_states = hidden_states + additional_residuals
-
-            output_states = output_states + (hidden_states,)
-
-        if self.downsamplers is not None:
-            for downsampler in self.downsamplers:
-                hidden_states = downsampler(hidden_states)
-
-            output_states = output_states + (hidden_states,)
-
-        return hidden_states, output_states
-
diff --git a/mvdiffusion/models/unet_mv2d_condition.py b/mvdiffusion/models/unet_mv2d_condition.py
deleted file mode 100644
index 3fa221cc760a39fb88bd59d4fc606730cd6cb15b..0000000000000000000000000000000000000000
--- a/mvdiffusion/models/unet_mv2d_condition.py
+++ /dev/null
@@ -1,1686 +0,0 @@
-# Copyright 2023 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from dataclasses import dataclass
-from typing import Any, Dict, List, Optional, Tuple, Union
-import os
-
-import torch
-import torch.nn as nn
-import torch.utils.checkpoint
-
-from diffusers.configuration_utils import ConfigMixin, register_to_config
-from diffusers.loaders import UNet2DConditionLoadersMixin
-from diffusers.utils import BaseOutput, logging
-from diffusers.models.activations import get_activation
-from diffusers.models.attention_processor import AttentionProcessor, AttnProcessor
-from diffusers.models.embeddings import (
-    GaussianFourierProjection,
-    ImageHintTimeEmbedding,
-    ImageProjection,
-    ImageTimeEmbedding,
-    TextImageProjection,
-    TextImageTimeEmbedding,
-    TextTimeEmbedding,
-    TimestepEmbedding,
-    Timesteps,
-)
-from diffusers.models.modeling_utils import ModelMixin, load_state_dict, _load_state_dict_into_model
-from diffusers.models.unet_2d_blocks import (
-    CrossAttnDownBlock2D,
-    CrossAttnUpBlock2D,
-    DownBlock2D,
-    UNetMidBlock2DCrossAttn,
-    UNetMidBlock2DSimpleCrossAttn,
-    UpBlock2D,
-)
-from diffusers.utils import (
-    CONFIG_NAME,
-    FLAX_WEIGHTS_NAME,
-    SAFETENSORS_WEIGHTS_NAME,
-    WEIGHTS_NAME,
-    _add_variant,
-    _get_model_file,
-    deprecate,
-    is_torch_version,
-    logging,
-)
-from diffusers.utils.import_utils import is_accelerate_available 
-from diffusers.utils.hub_utils import HF_HUB_OFFLINE
-from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE
-DIFFUSERS_CACHE = HUGGINGFACE_HUB_CACHE
-
-from diffusers import __version__
-from .unet_mv2d_blocks import (
-    CrossAttnDownBlockMV2D,
-    CrossAttnUpBlockMV2D,
-    UNetMidBlockMV2DCrossAttn,
-    get_down_block,
-    get_up_block,
-)
-from einops import rearrange, repeat
-
-from diffusers import __version__
-from mvdiffusion.models.unet_mv2d_blocks import (
-    CrossAttnDownBlockMV2D,
-    CrossAttnUpBlockMV2D,
-    UNetMidBlockMV2DCrossAttn,
-    get_down_block,
-    get_up_block,
-)
-
-
-logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
-
-
-@dataclass
-class UNetMV2DConditionOutput(BaseOutput):
-    """
-    The output of [`UNet2DConditionModel`].
-
-    Args:
-        sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)`):
-            The hidden states output conditioned on `encoder_hidden_states` input. Output of last layer of model.
-    """
-
-    sample: torch.FloatTensor = None
-
-
-class ResidualBlock(nn.Module):
-    def __init__(self, dim):
-        super(ResidualBlock, self).__init__()
-        self.linear1 = nn.Linear(dim, dim)
-        self.activation = nn.SiLU()
-        self.linear2 = nn.Linear(dim, dim)
-
-    def forward(self, x):
-        identity = x
-        out = self.linear1(x)
-        out = self.activation(out)
-        out = self.linear2(out)
-        out += identity  
-        out = self.activation(out)
-        return out
-    
-class ResidualLiner(nn.Module):
-    def __init__(self, in_features, out_features, dim, act=None, num_block=1):
-        super(ResidualLiner, self).__init__()
-        self.linear_in = nn.Sequential(nn.Linear(in_features, dim), nn.SiLU())
-        
-        blocks = nn.ModuleList()
-        for _ in range(num_block):
-            blocks.append(ResidualBlock(dim))
-        self.blocks = blocks    
-        
-        self.linear_out = nn.Linear(dim, out_features)
-        self.act = act
-
-    def forward(self, x):
-        out = self.linear_in(x)
-        for block in self.blocks:
-            out = block(out)
-        out = self.linear_out(out)
-        if self.act is not None:
-            out = self.act(out)
-        return out
-
-class BasicConvBlock(nn.Module):
-    def __init__(self, in_channels, out_channels, stride=1):
-        super(BasicConvBlock, self).__init__()
-        self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, padding=1, bias=False)
-        self.norm1 = nn.GroupNorm(num_groups=8, num_channels=in_channels,  affine=True)
-        self.act = nn.SiLU()
-        self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, stride=1, padding=1, bias=False)
-        self.norm2 = nn.GroupNorm(num_groups=8, num_channels=in_channels,  affine=True)
-        self.downsample = nn.Sequential()
-        if stride != 1 or in_channels != out_channels:
-            self.downsample = nn.Sequential(
-                nn.Conv2d(in_channels, out_channels, kernel_size=1, stride=stride, bias=False),
-                nn.GroupNorm(num_groups=8, num_channels=in_channels,  affine=True)
-            )
-
-    def forward(self, x):
-        identity = x
-        out = self.conv1(x)
-        out = self.norm1(out)
-        out = self.act(out)
-        out = self.conv2(out)
-        out = self.norm2(out)
-        out += self.downsample(identity)
-        out = self.act(out)
-        return out
-
-class UNetMV2DConditionModel(ModelMixin, ConfigMixin, UNet2DConditionLoadersMixin):
-    r"""
-    A conditional 2D UNet model that takes a noisy sample, conditional state, and a timestep and returns a sample
-    shaped output.
-
-    This model inherits from [`ModelMixin`]. Check the superclass documentation for it's generic methods implemented
-    for all models (such as downloading or saving).
-
-    Parameters:
-        sample_size (`int` or `Tuple[int, int]`, *optional*, defaults to `None`):
-            Height and width of input/output sample.
-        in_channels (`int`, *optional*, defaults to 4): Number of channels in the input sample.
-        out_channels (`int`, *optional*, defaults to 4): Number of channels in the output.
-        center_input_sample (`bool`, *optional*, defaults to `False`): Whether to center the input sample.
-        flip_sin_to_cos (`bool`, *optional*, defaults to `False`):
-            Whether to flip the sin to cos in the time embedding.
-        freq_shift (`int`, *optional*, defaults to 0): The frequency shift to apply to the time embedding.
-        down_block_types (`Tuple[str]`, *optional*, defaults to `("CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D")`):
-            The tuple of downsample blocks to use.
-        mid_block_type (`str`, *optional*, defaults to `"UNetMidBlock2DCrossAttn"`):
-            Block type for middle of UNet, it can be either `UNetMidBlock2DCrossAttn` or
-            `UNetMidBlock2DSimpleCrossAttn`. If `None`, the mid block layer is skipped.
-        up_block_types (`Tuple[str]`, *optional*, defaults to `("UpBlock2D", "CrossAttnUpBlock2D", "CrossAttnUpBlock2D", "CrossAttnUpBlock2D")`):
-            The tuple of upsample blocks to use.
-        only_cross_attention(`bool` or `Tuple[bool]`, *optional*, default to `False`):
-            Whether to include self-attention in the basic transformer blocks, see
-            [`~models.attention.BasicTransformerBlock`].
-        block_out_channels (`Tuple[int]`, *optional*, defaults to `(320, 640, 1280, 1280)`):
-            The tuple of output channels for each block.
-        layers_per_block (`int`, *optional*, defaults to 2): The number of layers per block.
-        downsample_padding (`int`, *optional*, defaults to 1): The padding to use for the downsampling convolution.
-        mid_block_scale_factor (`float`, *optional*, defaults to 1.0): The scale factor to use for the mid block.
-        act_fn (`str`, *optional*, defaults to `"silu"`): The activation function to use.
-        norm_num_groups (`int`, *optional*, defaults to 32): The number of groups to use for the normalization.
-            If `None`, normalization and activation layers is skipped in post-processing.
-        norm_eps (`float`, *optional*, defaults to 1e-5): The epsilon to use for the normalization.
-        cross_attention_dim (`int` or `Tuple[int]`, *optional*, defaults to 1280):
-            The dimension of the cross attention features.
-        transformer_layers_per_block (`int` or `Tuple[int]`, *optional*, defaults to 1):
-            The number of transformer blocks of type [`~models.attention.BasicTransformerBlock`]. Only relevant for
-            [`~models.unet_2d_blocks.CrossAttnDownBlock2D`], [`~models.unet_2d_blocks.CrossAttnUpBlock2D`],
-            [`~models.unet_2d_blocks.UNetMidBlock2DCrossAttn`].
-        encoder_hid_dim (`int`, *optional*, defaults to None):
-            If `encoder_hid_dim_type` is defined, `encoder_hidden_states` will be projected from `encoder_hid_dim`
-            dimension to `cross_attention_dim`.
-        encoder_hid_dim_type (`str`, *optional*, defaults to `None`):
-            If given, the `encoder_hidden_states` and potentially other embeddings are down-projected to text
-            embeddings of dimension `cross_attention` according to `encoder_hid_dim_type`.
-        attention_head_dim (`int`, *optional*, defaults to 8): The dimension of the attention heads.
-        num_attention_heads (`int`, *optional*):
-            The number of attention heads. If not defined, defaults to `attention_head_dim`
-        resnet_time_scale_shift (`str`, *optional*, defaults to `"default"`): Time scale shift config
-            for ResNet blocks (see [`~models.resnet.ResnetBlock2D`]). Choose from `default` or `scale_shift`.
-        class_embed_type (`str`, *optional*, defaults to `None`):
-            The type of class embedding to use which is ultimately summed with the time embeddings. Choose from `None`,
-            `"timestep"`, `"identity"`, `"projection"`, or `"simple_projection"`.
-        addition_embed_type (`str`, *optional*, defaults to `None`):
-            Configures an optional embedding which will be summed with the time embeddings. Choose from `None` or
-            "text". "text" will use the `TextTimeEmbedding` layer.
-        addition_time_embed_dim: (`int`, *optional*, defaults to `None`):
-            Dimension for the timestep embeddings.
-        num_class_embeds (`int`, *optional*, defaults to `None`):
-            Input dimension of the learnable embedding matrix to be projected to `time_embed_dim`, when performing
-            class conditioning with `class_embed_type` equal to `None`.
-        time_embedding_type (`str`, *optional*, defaults to `positional`):
-            The type of position embedding to use for timesteps. Choose from `positional` or `fourier`.
-        time_embedding_dim (`int`, *optional*, defaults to `None`):
-            An optional override for the dimension of the projected time embedding.
-        time_embedding_act_fn (`str`, *optional*, defaults to `None`):
-            Optional activation function to use only once on the time embeddings before they are passed to the rest of
-            the UNet. Choose from `silu`, `mish`, `gelu`, and `swish`.
-        timestep_post_act (`str`, *optional*, defaults to `None`):
-            The second activation function to use in timestep embedding. Choose from `silu`, `mish` and `gelu`.
-        time_cond_proj_dim (`int`, *optional*, defaults to `None`):
-            The dimension of `cond_proj` layer in the timestep embedding.
-        conv_in_kernel (`int`, *optional*, default to `3`): The kernel size of `conv_in` layer.
-        conv_out_kernel (`int`, *optional*, default to `3`): The kernel size of `conv_out` layer.
-        projection_class_embeddings_input_dim (`int`, *optional*): The dimension of the `class_labels` input when
-            `class_embed_type="projection"`. Required when `class_embed_type="projection"`.
-        class_embeddings_concat (`bool`, *optional*, defaults to `False`): Whether to concatenate the time
-            embeddings with the class embeddings.
-        mid_block_only_cross_attention (`bool`, *optional*, defaults to `None`):
-            Whether to use cross attention with the mid block when using the `UNetMidBlock2DSimpleCrossAttn`. If
-            `only_cross_attention` is given as a single boolean and `mid_block_only_cross_attention` is `None`, the
-            `only_cross_attention` value is used as the value for `mid_block_only_cross_attention`. Default to `False`
-            otherwise.
-    """
-
-    _supports_gradient_checkpointing = True
-
-    @register_to_config
-    def __init__(
-        self,
-        sample_size: Optional[int] = None,
-        in_channels: int = 4,
-        out_channels: int = 4,
-        center_input_sample: bool = False,
-        flip_sin_to_cos: bool = True,
-        freq_shift: int = 0,
-        down_block_types: Tuple[str] = (
-            "CrossAttnDownBlockMV2D",
-            "CrossAttnDownBlockMV2D",
-            "CrossAttnDownBlockMV2D",
-            "DownBlock2D",
-        ),
-        mid_block_type: Optional[str] = "UNetMidBlockMV2DCrossAttn",
-        up_block_types: Tuple[str] = ("UpBlock2D", "CrossAttnUpBlockMV2D", "CrossAttnUpBlockMV2D", "CrossAttnUpBlockMV2D"),
-        only_cross_attention: Union[bool, Tuple[bool]] = False,
-        block_out_channels: Tuple[int] = (320, 640, 1280, 1280),
-        layers_per_block: Union[int, Tuple[int]] = 2,
-        downsample_padding: int = 1,
-        mid_block_scale_factor: float = 1,
-        act_fn: str = "silu",
-        norm_num_groups: Optional[int] = 32,
-        norm_eps: float = 1e-5,
-        cross_attention_dim: Union[int, Tuple[int]] = 1280,
-        transformer_layers_per_block: Union[int, Tuple[int]] = 1,
-        encoder_hid_dim: Optional[int] = None,
-        encoder_hid_dim_type: Optional[str] = None,
-        attention_head_dim: Union[int, Tuple[int]] = 8,
-        num_attention_heads: Optional[Union[int, Tuple[int]]] = None,
-        dual_cross_attention: bool = False,
-        use_linear_projection: bool = False,
-        class_embed_type: Optional[str] = None,
-        addition_embed_type: Optional[str] = None,
-        addition_time_embed_dim: Optional[int] = None,
-        num_class_embeds: Optional[int] = None,
-        upcast_attention: bool = False,
-        resnet_time_scale_shift: str = "default",
-        resnet_skip_time_act: bool = False,
-        resnet_out_scale_factor: int = 1.0,
-        time_embedding_type: str = "positional",
-        time_embedding_dim: Optional[int] = None,
-        time_embedding_act_fn: Optional[str] = None,
-        timestep_post_act: Optional[str] = None,
-        time_cond_proj_dim: Optional[int] = None,
-        conv_in_kernel: int = 3,
-        conv_out_kernel: int = 3,
-        projection_class_embeddings_input_dim: Optional[int] = None,
-        projection_camera_embeddings_input_dim: Optional[int] = None,
-        class_embeddings_concat: bool = False,
-        mid_block_only_cross_attention: Optional[bool] = None,
-        cross_attention_norm: Optional[str] = None,
-        addition_embed_type_num_heads=64,
-        num_views: int = 1,
-        cd_attention_last: bool = False,
-        cd_attention_mid: bool = False,
-        multiview_attention: bool = True,
-        sparse_mv_attention: bool = False,
-        selfattn_block: str = "custom",
-        mvcd_attention: bool = False,
-        regress_elevation: bool = False,
-        regress_focal_length: bool = False,
-        num_regress_blocks: int = 4,
-        use_dino: bool = False,
-        addition_downsample: bool = False,
-        addition_channels: Optional[Tuple[int]] = (1280, 1280, 1280),
-    ):
-        super().__init__()
-
-        self.sample_size = sample_size
-        self.num_views = num_views
-        self.mvcd_attention = mvcd_attention
-        if num_attention_heads is not None:
-            raise ValueError(
-                "At the moment it is not possible to define the number of attention heads via `num_attention_heads` because of a naming issue as described in https://github.com/huggingface/diffusers/issues/2011#issuecomment-1547958131. Passing `num_attention_heads` will only be supported in diffusers v0.19."
-            )
-
-        # If `num_attention_heads` is not defined (which is the case for most models)
-        # it will default to `attention_head_dim`. This looks weird upon first reading it and it is.
-        # The reason for this behavior is to correct for incorrectly named variables that were introduced
-        # when this library was created. The incorrect naming was only discovered much later in https://github.com/huggingface/diffusers/issues/2011#issuecomment-1547958131
-        # Changing `attention_head_dim` to `num_attention_heads` for 40,000+ configurations is too backwards breaking
-        # which is why we correct for the naming here.
-        num_attention_heads = num_attention_heads or attention_head_dim
-
-        # Check inputs
-        if len(down_block_types) != len(up_block_types):
-            raise ValueError(
-                f"Must provide the same number of `down_block_types` as `up_block_types`. `down_block_types`: {down_block_types}. `up_block_types`: {up_block_types}."
-            )
-
-        if len(block_out_channels) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `block_out_channels` as `down_block_types`. `block_out_channels`: {block_out_channels}. `down_block_types`: {down_block_types}."
-            )
-
-        if not isinstance(only_cross_attention, bool) and len(only_cross_attention) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `only_cross_attention` as `down_block_types`. `only_cross_attention`: {only_cross_attention}. `down_block_types`: {down_block_types}."
-            )
-
-        if not isinstance(num_attention_heads, int) and len(num_attention_heads) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `num_attention_heads` as `down_block_types`. `num_attention_heads`: {num_attention_heads}. `down_block_types`: {down_block_types}."
-            )
-
-        if not isinstance(attention_head_dim, int) and len(attention_head_dim) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `attention_head_dim` as `down_block_types`. `attention_head_dim`: {attention_head_dim}. `down_block_types`: {down_block_types}."
-            )
-
-        if isinstance(cross_attention_dim, list) and len(cross_attention_dim) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `cross_attention_dim` as `down_block_types`. `cross_attention_dim`: {cross_attention_dim}. `down_block_types`: {down_block_types}."
-            )
-
-        if not isinstance(layers_per_block, int) and len(layers_per_block) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `layers_per_block` as `down_block_types`. `layers_per_block`: {layers_per_block}. `down_block_types`: {down_block_types}."
-            )
-
-        # input
-        conv_in_padding = (conv_in_kernel - 1) // 2
-        self.conv_in = nn.Conv2d(
-            in_channels, block_out_channels[0], kernel_size=conv_in_kernel, padding=conv_in_padding
-        )
-
-        # time
-        if time_embedding_type == "fourier":
-            time_embed_dim = time_embedding_dim or block_out_channels[0] * 2
-            if time_embed_dim % 2 != 0:
-                raise ValueError(f"`time_embed_dim` should be divisible by 2, but is {time_embed_dim}.")
-            self.time_proj = GaussianFourierProjection(
-                time_embed_dim // 2, set_W_to_weight=False, log=False, flip_sin_to_cos=flip_sin_to_cos
-            )
-            timestep_input_dim = time_embed_dim
-        elif time_embedding_type == "positional":
-            time_embed_dim = time_embedding_dim or block_out_channels[0] * 4
-
-            self.time_proj = Timesteps(block_out_channels[0], flip_sin_to_cos, freq_shift)
-            timestep_input_dim = block_out_channels[0]
-        else:
-            raise ValueError(
-                f"{time_embedding_type} does not exist. Please make sure to use one of `fourier` or `positional`."
-            )
-
-        self.time_embedding = TimestepEmbedding(
-            timestep_input_dim,
-            time_embed_dim,
-            act_fn=act_fn,
-            post_act_fn=timestep_post_act,
-            cond_proj_dim=time_cond_proj_dim,
-        )
-
-        if encoder_hid_dim_type is None and encoder_hid_dim is not None:
-            encoder_hid_dim_type = "text_proj"
-            self.register_to_config(encoder_hid_dim_type=encoder_hid_dim_type)
-            logger.info("encoder_hid_dim_type defaults to 'text_proj' as `encoder_hid_dim` is defined.")
-
-        if encoder_hid_dim is None and encoder_hid_dim_type is not None:
-            raise ValueError(
-                f"`encoder_hid_dim` has to be defined when `encoder_hid_dim_type` is set to {encoder_hid_dim_type}."
-            )
-
-        if encoder_hid_dim_type == "text_proj":
-            self.encoder_hid_proj = nn.Linear(encoder_hid_dim, cross_attention_dim)
-        elif encoder_hid_dim_type == "text_image_proj":
-            # image_embed_dim DOESN'T have to be `cross_attention_dim`. To not clutter the __init__ too much
-            # they are set to `cross_attention_dim` here as this is exactly the required dimension for the currently only use
-            # case when `addition_embed_type == "text_image_proj"` (Kadinsky 2.1)`
-            self.encoder_hid_proj = TextImageProjection(
-                text_embed_dim=encoder_hid_dim,
-                image_embed_dim=cross_attention_dim,
-                cross_attention_dim=cross_attention_dim,
-            )
-        elif encoder_hid_dim_type == "image_proj":
-            # Kandinsky 2.2
-            self.encoder_hid_proj = ImageProjection(
-                image_embed_dim=encoder_hid_dim,
-                cross_attention_dim=cross_attention_dim,
-            )
-        elif encoder_hid_dim_type is not None:
-            raise ValueError(
-                f"encoder_hid_dim_type: {encoder_hid_dim_type} must be None, 'text_proj' or 'text_image_proj'."
-            )
-        else:
-            self.encoder_hid_proj = None
-
-        # class embedding
-        if class_embed_type is None and num_class_embeds is not None:
-            self.class_embedding = nn.Embedding(num_class_embeds, time_embed_dim)
-        elif class_embed_type == "timestep":
-            self.class_embedding = TimestepEmbedding(timestep_input_dim, time_embed_dim, act_fn=act_fn)
-        elif class_embed_type == "identity":
-            self.class_embedding = nn.Identity(time_embed_dim, time_embed_dim)
-        elif class_embed_type == "projection":
-            if projection_class_embeddings_input_dim is None:
-                raise ValueError(
-                    "`class_embed_type`: 'projection' requires `projection_class_embeddings_input_dim` be set"
-                )
-            # The projection `class_embed_type` is the same as the timestep `class_embed_type` except
-            # 1. the `class_labels` inputs are not first converted to sinusoidal embeddings
-            # 2. it projects from an arbitrary input dimension.
-            #
-            # Note that `TimestepEmbedding` is quite general, being mainly linear layers and activations.
-            # When used for embedding actual timesteps, the timesteps are first converted to sinusoidal embeddings.
-            # As a result, `TimestepEmbedding` can be passed arbitrary vectors.
-            self.class_embedding = TimestepEmbedding(projection_class_embeddings_input_dim, time_embed_dim)
-        elif class_embed_type == "simple_projection":
-            if projection_class_embeddings_input_dim is None:
-                raise ValueError(
-                    "`class_embed_type`: 'simple_projection' requires `projection_class_embeddings_input_dim` be set"
-                )
-            self.class_embedding = nn.Linear(projection_class_embeddings_input_dim, time_embed_dim)
-        else:
-            self.class_embedding = None
-
-        if addition_embed_type == "text":
-            if encoder_hid_dim is not None:
-                text_time_embedding_from_dim = encoder_hid_dim
-            else:
-                text_time_embedding_from_dim = cross_attention_dim
-
-            self.add_embedding = TextTimeEmbedding(
-                text_time_embedding_from_dim, time_embed_dim, num_heads=addition_embed_type_num_heads
-            )
-        elif addition_embed_type == "text_image":
-            # text_embed_dim and image_embed_dim DON'T have to be `cross_attention_dim`. To not clutter the __init__ too much
-            # they are set to `cross_attention_dim` here as this is exactly the required dimension for the currently only use
-            # case when `addition_embed_type == "text_image"` (Kadinsky 2.1)`
-            self.add_embedding = TextImageTimeEmbedding(
-                text_embed_dim=cross_attention_dim, image_embed_dim=cross_attention_dim, time_embed_dim=time_embed_dim
-            )
-        elif addition_embed_type == "text_time":
-            self.add_time_proj = Timesteps(addition_time_embed_dim, flip_sin_to_cos, freq_shift)
-            self.add_embedding = TimestepEmbedding(projection_class_embeddings_input_dim, time_embed_dim)
-        elif addition_embed_type == "image":
-            # Kandinsky 2.2
-            self.add_embedding = ImageTimeEmbedding(image_embed_dim=encoder_hid_dim, time_embed_dim=time_embed_dim)
-        elif addition_embed_type == "image_hint":
-            # Kandinsky 2.2 ControlNet
-            self.add_embedding = ImageHintTimeEmbedding(image_embed_dim=encoder_hid_dim, time_embed_dim=time_embed_dim)
-        elif addition_embed_type is not None:
-            raise ValueError(f"addition_embed_type: {addition_embed_type} must be None, 'text' or 'text_image'.")
-
-        if time_embedding_act_fn is None:
-            self.time_embed_act = None
-        else:
-            self.time_embed_act = get_activation(time_embedding_act_fn)
-
-        self.down_blocks = nn.ModuleList([])
-        self.up_blocks = nn.ModuleList([])
-
-        if isinstance(only_cross_attention, bool):
-            if mid_block_only_cross_attention is None:
-                mid_block_only_cross_attention = only_cross_attention
-
-            only_cross_attention = [only_cross_attention] * len(down_block_types)
-
-        if mid_block_only_cross_attention is None:
-            mid_block_only_cross_attention = False
-
-        if isinstance(num_attention_heads, int):
-            num_attention_heads = (num_attention_heads,) * len(down_block_types)
-
-        if isinstance(attention_head_dim, int):
-            attention_head_dim = (attention_head_dim,) * len(down_block_types)
-
-        if isinstance(cross_attention_dim, int):
-            cross_attention_dim = (cross_attention_dim,) * len(down_block_types)
-
-        if isinstance(layers_per_block, int):
-            layers_per_block = [layers_per_block] * len(down_block_types)
-
-        if isinstance(transformer_layers_per_block, int):
-            transformer_layers_per_block = [transformer_layers_per_block] * len(down_block_types)
-
-        if class_embeddings_concat:
-            # The time embeddings are concatenated with the class embeddings. The dimension of the
-            # time embeddings passed to the down, middle, and up blocks is twice the dimension of the
-            # regular time embeddings
-            blocks_time_embed_dim = time_embed_dim * 2
-        else:
-            blocks_time_embed_dim = time_embed_dim
-
-        # down
-        output_channel = block_out_channels[0]
-        for i, down_block_type in enumerate(down_block_types):
-            input_channel = output_channel
-            output_channel = block_out_channels[i]
-            is_final_block = i == len(block_out_channels) - 1
-
-            down_block = get_down_block(
-                down_block_type,
-                num_layers=layers_per_block[i],
-                transformer_layers_per_block=transformer_layers_per_block[i],
-                in_channels=input_channel,
-                out_channels=output_channel,
-                temb_channels=blocks_time_embed_dim,
-                add_downsample=not is_final_block,
-                resnet_eps=norm_eps,
-                resnet_act_fn=act_fn,
-                resnet_groups=norm_num_groups,
-                cross_attention_dim=cross_attention_dim[i],
-                num_attention_heads=num_attention_heads[i],
-                downsample_padding=downsample_padding,
-                dual_cross_attention=dual_cross_attention,
-                use_linear_projection=use_linear_projection,
-                only_cross_attention=only_cross_attention[i],
-                upcast_attention=upcast_attention,
-                resnet_time_scale_shift=resnet_time_scale_shift,
-                resnet_skip_time_act=resnet_skip_time_act,
-                resnet_out_scale_factor=resnet_out_scale_factor,
-                cross_attention_norm=cross_attention_norm,
-                attention_head_dim=attention_head_dim[i] if attention_head_dim[i] is not None else output_channel,
-                num_views=num_views,
-                cd_attention_last=cd_attention_last,
-                cd_attention_mid=cd_attention_mid,
-                multiview_attention=multiview_attention,
-                sparse_mv_attention=sparse_mv_attention,
-                selfattn_block=selfattn_block,
-                mvcd_attention=mvcd_attention,
-                use_dino=use_dino
-            )
-            self.down_blocks.append(down_block)
-
-        # mid
-        if mid_block_type == "UNetMidBlock2DCrossAttn":
-            self.mid_block = UNetMidBlock2DCrossAttn(
-                transformer_layers_per_block=transformer_layers_per_block[-1],
-                in_channels=block_out_channels[-1],
-                temb_channels=blocks_time_embed_dim,
-                resnet_eps=norm_eps,
-                resnet_act_fn=act_fn,
-                output_scale_factor=mid_block_scale_factor,
-                resnet_time_scale_shift=resnet_time_scale_shift,
-                cross_attention_dim=cross_attention_dim[-1],
-                num_attention_heads=num_attention_heads[-1],
-                resnet_groups=norm_num_groups,
-                dual_cross_attention=dual_cross_attention,
-                use_linear_projection=use_linear_projection,
-                upcast_attention=upcast_attention,
-            )
-        # custom MV2D attention block  
-        elif mid_block_type == "UNetMidBlockMV2DCrossAttn":
-            self.mid_block = UNetMidBlockMV2DCrossAttn(
-                transformer_layers_per_block=transformer_layers_per_block[-1],
-                in_channels=block_out_channels[-1],
-                temb_channels=blocks_time_embed_dim,
-                resnet_eps=norm_eps,
-                resnet_act_fn=act_fn,
-                output_scale_factor=mid_block_scale_factor,
-                resnet_time_scale_shift=resnet_time_scale_shift,
-                cross_attention_dim=cross_attention_dim[-1],
-                num_attention_heads=num_attention_heads[-1],
-                resnet_groups=norm_num_groups,
-                dual_cross_attention=dual_cross_attention,
-                use_linear_projection=use_linear_projection,
-                upcast_attention=upcast_attention,
-                num_views=num_views,
-                cd_attention_last=cd_attention_last,
-                cd_attention_mid=cd_attention_mid,
-                multiview_attention=multiview_attention,
-                sparse_mv_attention=sparse_mv_attention,
-                selfattn_block=selfattn_block,
-                mvcd_attention=mvcd_attention,
-                use_dino=use_dino
-            )
-        elif mid_block_type == "UNetMidBlock2DSimpleCrossAttn":
-            self.mid_block = UNetMidBlock2DSimpleCrossAttn(
-                in_channels=block_out_channels[-1],
-                temb_channels=blocks_time_embed_dim,
-                resnet_eps=norm_eps,
-                resnet_act_fn=act_fn,
-                output_scale_factor=mid_block_scale_factor,
-                cross_attention_dim=cross_attention_dim[-1],
-                attention_head_dim=attention_head_dim[-1],
-                resnet_groups=norm_num_groups,
-                resnet_time_scale_shift=resnet_time_scale_shift,
-                skip_time_act=resnet_skip_time_act,
-                only_cross_attention=mid_block_only_cross_attention,
-                cross_attention_norm=cross_attention_norm,
-            )
-        elif mid_block_type is None:
-            self.mid_block = None
-        else:
-            raise ValueError(f"unknown mid_block_type : {mid_block_type}")
-        
-        self.addition_downsample = addition_downsample
-        if self.addition_downsample:
-            inc = block_out_channels[-1]
-            self.downsample = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
-            self.conv_block = nn.ModuleList()
-            self.conv_block.append(BasicConvBlock(inc, addition_channels[0], stride=1)) 
-            for dim_ in addition_channels[1:-1]:  
-                self.conv_block.append(BasicConvBlock(dim_, dim_, stride=1))    
-            self.conv_block.append(BasicConvBlock(dim_, inc))
-            self.addition_conv_out = nn.Conv2d(inc, inc, kernel_size=1, bias=False)
-            nn.init.zeros_(self.addition_conv_out.weight.data)
-            self.addition_act_out = nn.SiLU()
-            self.upsample = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True)
-                
-        self.regress_elevation = regress_elevation
-        self.regress_focal_length = regress_focal_length
-        if regress_elevation or regress_focal_length:
-            self.pool = nn.AdaptiveAvgPool2d((1, 1))
-            self.camera_embedding = TimestepEmbedding(projection_camera_embeddings_input_dim, time_embed_dim=time_embed_dim) 
-        
-        regress_in_dim = block_out_channels[-1]*2 if mvcd_attention else block_out_channels
-            
-        if regress_elevation:
-            self.elevation_regressor = ResidualLiner(regress_in_dim, 1, 1280, act=None, num_block=num_regress_blocks)
-        if regress_focal_length:
-            self.focal_regressor = ResidualLiner(regress_in_dim, 1, 1280, act=None, num_block=num_regress_blocks)
-        '''
-        self.regress_elevation = regress_elevation
-        self.regress_focal_length = regress_focal_length
-        if regress_elevation and (not regress_focal_length):
-            print("Regressing elevation")
-            cam_dim = 1
-        elif regress_focal_length and (not regress_elevation):
-            print("Regressing focal length")
-            cam_dim = 6
-        elif regress_elevation and regress_focal_length:
-            print("Regressing both elevation and focal length")
-            cam_dim = 7
-        else:
-            cam_dim = 0
-        assert projection_camera_embeddings_input_dim == 2*cam_dim, "projection_camera_embeddings_input_dim should be 2*cam_dim"
-        if regress_elevation or regress_focal_length:
-            self.elevation_regressor = nn.ModuleList([
-                nn.Linear(block_out_channels[-1], 1280),
-                nn.SiLU(),
-                nn.Linear(1280, 1280),
-                nn.SiLU(),
-                nn.Linear(1280, cam_dim)
-            ])
-            self.pool = nn.AdaptiveAvgPool2d((1, 1))
-            self.focal_act = nn.Softmax(dim=-1)
-            self.camera_embedding = TimestepEmbedding(projection_camera_embeddings_input_dim, time_embed_dim=time_embed_dim) 
-        '''
-          
-        # count how many layers upsample the images
-        self.num_upsamplers = 0
-
-        # up
-        reversed_block_out_channels = list(reversed(block_out_channels))
-        reversed_num_attention_heads = list(reversed(num_attention_heads))
-        reversed_layers_per_block = list(reversed(layers_per_block))
-        reversed_cross_attention_dim = list(reversed(cross_attention_dim))
-        reversed_transformer_layers_per_block = list(reversed(transformer_layers_per_block))
-        only_cross_attention = list(reversed(only_cross_attention))
-
-        output_channel = reversed_block_out_channels[0]
-        for i, up_block_type in enumerate(up_block_types):
-            is_final_block = i == len(block_out_channels) - 1
-
-            prev_output_channel = output_channel
-            output_channel = reversed_block_out_channels[i]
-            input_channel = reversed_block_out_channels[min(i + 1, len(block_out_channels) - 1)]
-
-            # add upsample block for all BUT final layer
-            if not is_final_block:
-                add_upsample = True
-                self.num_upsamplers += 1
-            else:
-                add_upsample = False
-
-            up_block = get_up_block(
-                up_block_type,
-                num_layers=reversed_layers_per_block[i] + 1,
-                transformer_layers_per_block=reversed_transformer_layers_per_block[i],
-                in_channels=input_channel,
-                out_channels=output_channel,
-                prev_output_channel=prev_output_channel,
-                temb_channels=blocks_time_embed_dim,
-                add_upsample=add_upsample,
-                resnet_eps=norm_eps,
-                resnet_act_fn=act_fn,
-                resnet_groups=norm_num_groups,
-                cross_attention_dim=reversed_cross_attention_dim[i],
-                num_attention_heads=reversed_num_attention_heads[i],
-                dual_cross_attention=dual_cross_attention,
-                use_linear_projection=use_linear_projection,
-                only_cross_attention=only_cross_attention[i],
-                upcast_attention=upcast_attention,
-                resnet_time_scale_shift=resnet_time_scale_shift,
-                resnet_skip_time_act=resnet_skip_time_act,
-                resnet_out_scale_factor=resnet_out_scale_factor,
-                cross_attention_norm=cross_attention_norm,
-                attention_head_dim=attention_head_dim[i] if attention_head_dim[i] is not None else output_channel,
-                num_views=num_views,
-                cd_attention_last=cd_attention_last,
-                cd_attention_mid=cd_attention_mid,
-                multiview_attention=multiview_attention,
-                sparse_mv_attention=sparse_mv_attention,
-                selfattn_block=selfattn_block,
-                mvcd_attention=mvcd_attention,
-                use_dino=use_dino
-            )
-            self.up_blocks.append(up_block)
-            prev_output_channel = output_channel
-
-        # out
-        if norm_num_groups is not None:
-            self.conv_norm_out = nn.GroupNorm(
-                num_channels=block_out_channels[0], num_groups=norm_num_groups, eps=norm_eps
-            )
-
-            self.conv_act = get_activation(act_fn)
-
-        else:
-            self.conv_norm_out = None
-            self.conv_act = None
-
-        conv_out_padding = (conv_out_kernel - 1) // 2
-        self.conv_out = nn.Conv2d(
-            block_out_channels[0], out_channels, kernel_size=conv_out_kernel, padding=conv_out_padding
-        )
-
-    @property
-    def attn_processors(self) -> Dict[str, AttentionProcessor]:
-        r"""
-        Returns:
-            `dict` of attention processors: A dictionary containing all attention processors used in the model with
-            indexed by its weight name.
-        """
-        # set recursively
-        processors = {}
-
-        def fn_recursive_add_processors(name: str, module: torch.nn.Module, processors: Dict[str, AttentionProcessor]):
-            if hasattr(module, "set_processor"):
-                processors[f"{name}.processor"] = module.processor
-
-            for sub_name, child in module.named_children():
-                fn_recursive_add_processors(f"{name}.{sub_name}", child, processors)
-
-            return processors
-
-        for name, module in self.named_children():
-            fn_recursive_add_processors(name, module, processors)
-
-        return processors
-
-    def set_attn_processor(self, processor: Union[AttentionProcessor, Dict[str, AttentionProcessor]]):
-        r"""
-        Sets the attention processor to use to compute attention.
-
-        Parameters:
-            processor (`dict` of `AttentionProcessor` or only `AttentionProcessor`):
-                The instantiated processor class or a dictionary of processor classes that will be set as the processor
-                for **all** `Attention` layers.
-
-                If `processor` is a dict, the key needs to define the path to the corresponding cross attention
-                processor. This is strongly recommended when setting trainable attention processors.
-
-        """
-        count = len(self.attn_processors.keys())
-
-        if isinstance(processor, dict) and len(processor) != count:
-            raise ValueError(
-                f"A dict of processors was passed, but the number of processors {len(processor)} does not match the"
-                f" number of attention layers: {count}. Please make sure to pass {count} processor classes."
-            )
-
-        def fn_recursive_attn_processor(name: str, module: torch.nn.Module, processor):
-            if hasattr(module, "set_processor"):
-                if not isinstance(processor, dict):
-                    module.set_processor(processor)
-                else:
-                    module.set_processor(processor.pop(f"{name}.processor"))
-
-            for sub_name, child in module.named_children():
-                fn_recursive_attn_processor(f"{name}.{sub_name}", child, processor)
-
-        for name, module in self.named_children():
-            fn_recursive_attn_processor(name, module, processor)
-
-    def set_default_attn_processor(self):
-        """
-        Disables custom attention processors and sets the default attention implementation.
-        """
-        self.set_attn_processor(AttnProcessor())
-
-    def set_attention_slice(self, slice_size):
-        r"""
-        Enable sliced attention computation.
-
-        When this option is enabled, the attention module splits the input tensor in slices to compute attention in
-        several steps. This is useful for saving some memory in exchange for a small decrease in speed.
-
-        Args:
-            slice_size (`str` or `int` or `list(int)`, *optional*, defaults to `"auto"`):
-                When `"auto"`, input to the attention heads is halved, so attention is computed in two steps. If
-                `"max"`, maximum amount of memory is saved by running only one slice at a time. If a number is
-                provided, uses as many slices as `attention_head_dim // slice_size`. In this case, `attention_head_dim`
-                must be a multiple of `slice_size`.
-        """
-        sliceable_head_dims = []
-
-        def fn_recursive_retrieve_sliceable_dims(module: torch.nn.Module):
-            if hasattr(module, "set_attention_slice"):
-                sliceable_head_dims.append(module.sliceable_head_dim)
-
-            for child in module.children():
-                fn_recursive_retrieve_sliceable_dims(child)
-
-        # retrieve number of attention layers
-        for module in self.children():
-            fn_recursive_retrieve_sliceable_dims(module)
-
-        num_sliceable_layers = len(sliceable_head_dims)
-
-        if slice_size == "auto":
-            # half the attention head size is usually a good trade-off between
-            # speed and memory
-            slice_size = [dim // 2 for dim in sliceable_head_dims]
-        elif slice_size == "max":
-            # make smallest slice possible
-            slice_size = num_sliceable_layers * [1]
-
-        slice_size = num_sliceable_layers * [slice_size] if not isinstance(slice_size, list) else slice_size
-
-        if len(slice_size) != len(sliceable_head_dims):
-            raise ValueError(
-                f"You have provided {len(slice_size)}, but {self.config} has {len(sliceable_head_dims)} different"
-                f" attention layers. Make sure to match `len(slice_size)` to be {len(sliceable_head_dims)}."
-            )
-
-        for i in range(len(slice_size)):
-            size = slice_size[i]
-            dim = sliceable_head_dims[i]
-            if size is not None and size > dim:
-                raise ValueError(f"size {size} has to be smaller or equal to {dim}.")
-
-        # Recursively walk through all the children.
-        # Any children which exposes the set_attention_slice method
-        # gets the message
-        def fn_recursive_set_attention_slice(module: torch.nn.Module, slice_size: List[int]):
-            if hasattr(module, "set_attention_slice"):
-                module.set_attention_slice(slice_size.pop())
-
-            for child in module.children():
-                fn_recursive_set_attention_slice(child, slice_size)
-
-        reversed_slice_size = list(reversed(slice_size))
-        for module in self.children():
-            fn_recursive_set_attention_slice(module, reversed_slice_size)
-
-    def _set_gradient_checkpointing(self, module, value=False):
-        if isinstance(module, (CrossAttnDownBlock2D, CrossAttnDownBlockMV2D, DownBlock2D, CrossAttnUpBlock2D, CrossAttnUpBlockMV2D, UpBlock2D)):
-            module.gradient_checkpointing = value
-
-    def forward(
-        self,
-        sample: torch.FloatTensor,
-        timestep: Union[torch.Tensor, float, int],
-        encoder_hidden_states: torch.Tensor,
-        class_labels: Optional[torch.Tensor] = None,
-        timestep_cond: Optional[torch.Tensor] = None,
-        attention_mask: Optional[torch.Tensor] = None,
-        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        added_cond_kwargs: Optional[Dict[str, torch.Tensor]] = None,
-        down_block_additional_residuals: Optional[Tuple[torch.Tensor]] = None,
-        mid_block_additional_residual: Optional[torch.Tensor] = None,
-        encoder_attention_mask: Optional[torch.Tensor] = None,
-        dino_feature: Optional[torch.Tensor] = None,
-        return_dict: bool = True,
-        vis_max_min: bool = False,
-    ) -> Union[UNetMV2DConditionOutput, Tuple]:
-        r"""
-        The [`UNet2DConditionModel`] forward method.
-
-        Args:
-            sample (`torch.FloatTensor`):
-                The noisy input tensor with the following shape `(batch, channel, height, width)`.
-            timestep (`torch.FloatTensor` or `float` or `int`): The number of timesteps to denoise an input.
-            encoder_hidden_states (`torch.FloatTensor`):
-                The encoder hidden states with shape `(batch, sequence_length, feature_dim)`.
-            encoder_attention_mask (`torch.Tensor`):
-                A cross-attention mask of shape `(batch, sequence_length)` is applied to `encoder_hidden_states`. If
-                `True` the mask is kept, otherwise if `False` it is discarded. Mask will be converted into a bias,
-                which adds large negative values to the attention scores corresponding to "discard" tokens.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~models.unet_2d_condition.UNet2DConditionOutput`] instead of a plain
-                tuple.
-            cross_attention_kwargs (`dict`, *optional*):
-                A kwargs dictionary that if specified is passed along to the [`AttnProcessor`].
-            added_cond_kwargs: (`dict`, *optional*):
-                A kwargs dictionary containin additional embeddings that if specified are added to the embeddings that
-                are passed along to the UNet blocks.
-
-        Returns:
-            [`~models.unet_2d_condition.UNet2DConditionOutput`] or `tuple`:
-                If `return_dict` is True, an [`~models.unet_2d_condition.UNet2DConditionOutput`] is returned, otherwise
-                a `tuple` is returned where the first element is the sample tensor.
-        """
-        record_max_min = {}
-        # By default samples have to be AT least a multiple of the overall upsampling factor.
-        # The overall upsampling factor is equal to 2 ** (# num of upsampling layers).
-        # However, the upsampling interpolation output size can be forced to fit any upsampling size
-        # on the fly if necessary.
-        default_overall_up_factor = 2**self.num_upsamplers
-
-        # upsample size should be forwarded when sample is not a multiple of `default_overall_up_factor`
-        forward_upsample_size = False
-        upsample_size = None
-
-        if any(s % default_overall_up_factor != 0 for s in sample.shape[-2:]):
-            logger.info("Forward upsample size to force interpolation output size.")
-            forward_upsample_size = True
-
-        # ensure attention_mask is a bias, and give it a singleton query_tokens dimension
-        # expects mask of shape:
-        #   [batch, key_tokens]
-        # adds singleton query_tokens dimension:
-        #   [batch,                    1, key_tokens]
-        # this helps to broadcast it as a bias over attention scores, which will be in one of the following shapes:
-        #   [batch,  heads, query_tokens, key_tokens] (e.g. torch sdp attn)
-        #   [batch * heads, query_tokens, key_tokens] (e.g. xformers or classic attn)
-        if attention_mask is not None:
-            # assume that mask is expressed as:
-            #   (1 = keep,      0 = discard)
-            # convert mask into a bias that can be added to attention scores:
-            #       (keep = +0,     discard = -10000.0)
-            attention_mask = (1 - attention_mask.to(sample.dtype)) * -10000.0
-            attention_mask = attention_mask.unsqueeze(1)
-
-        # convert encoder_attention_mask to a bias the same way we do for attention_mask
-        if encoder_attention_mask is not None:
-            encoder_attention_mask = (1 - encoder_attention_mask.to(sample.dtype)) * -10000.0
-            encoder_attention_mask = encoder_attention_mask.unsqueeze(1)
-
-        # 0. center input if necessary
-        if self.config.center_input_sample:
-            sample = 2 * sample - 1.0
-        # 1. time
-        timesteps = timestep
-        if not torch.is_tensor(timesteps):
-            # TODO: this requires sync between CPU and GPU. So try to pass timesteps as tensors if you can
-            # This would be a good case for the `match` statement (Python 3.10+)
-            is_mps = sample.device.type == "mps"
-            if isinstance(timestep, float):
-                dtype = torch.float32 if is_mps else torch.float64
-            else:
-                dtype = torch.int32 if is_mps else torch.int64
-            timesteps = torch.tensor([timesteps], dtype=dtype, device=sample.device)
-        elif len(timesteps.shape) == 0:
-            timesteps = timesteps[None].to(sample.device)
-
-        # broadcast to batch dimension in a way that's compatible with ONNX/Core ML
-        timesteps = timesteps.expand(sample.shape[0])
-
-        t_emb = self.time_proj(timesteps)
-
-        # `Timesteps` does not contain any weights and will always return f32 tensors
-        # but time_embedding might actually be running in fp16. so we need to cast here.
-        # there might be better ways to encapsulate this.
-        t_emb = t_emb.to(dtype=sample.dtype)
-
-        emb = self.time_embedding(t_emb, timestep_cond)
-        aug_emb = None
-        if self.class_embedding is not None:
-            if class_labels is None:
-                raise ValueError("class_labels should be provided when num_class_embeds > 0")
-
-            if self.config.class_embed_type == "timestep":
-                class_labels = self.time_proj(class_labels)
-
-                # `Timesteps` does not contain any weights and will always return f32 tensors
-                # there might be better ways to encapsulate this.
-                class_labels = class_labels.to(dtype=sample.dtype)
-
-            class_emb = self.class_embedding(class_labels).to(dtype=sample.dtype)
-            if self.config.class_embeddings_concat:
-                emb = torch.cat([emb, class_emb], dim=-1)
-            else:
-                emb = emb + class_emb
-
-        if self.config.addition_embed_type == "text":
-            aug_emb = self.add_embedding(encoder_hidden_states)
-        elif self.config.addition_embed_type == "text_image":
-            # Kandinsky 2.1 - style
-            if "image_embeds" not in added_cond_kwargs:
-                raise ValueError(
-                    f"{self.__class__} has the config param `addition_embed_type` set to 'text_image' which requires the keyword argument `image_embeds` to be passed in `added_cond_kwargs`"
-                )
-
-            image_embs = added_cond_kwargs.get("image_embeds")
-            text_embs = added_cond_kwargs.get("text_embeds", encoder_hidden_states)
-            aug_emb = self.add_embedding(text_embs, image_embs)
-        elif self.config.addition_embed_type == "text_time":
-            # SDXL - style
-            if "text_embeds" not in added_cond_kwargs:
-                raise ValueError(
-                    f"{self.__class__} has the config param `addition_embed_type` set to 'text_time' which requires the keyword argument `text_embeds` to be passed in `added_cond_kwargs`"
-                )
-            text_embeds = added_cond_kwargs.get("text_embeds")
-            if "time_ids" not in added_cond_kwargs:
-                raise ValueError(
-                    f"{self.__class__} has the config param `addition_embed_type` set to 'text_time' which requires the keyword argument `time_ids` to be passed in `added_cond_kwargs`"
-                )
-            time_ids = added_cond_kwargs.get("time_ids")
-            time_embeds = self.add_time_proj(time_ids.flatten())
-            time_embeds = time_embeds.reshape((text_embeds.shape[0], -1))
-
-            add_embeds = torch.concat([text_embeds, time_embeds], dim=-1)
-            add_embeds = add_embeds.to(emb.dtype)
-            aug_emb = self.add_embedding(add_embeds)
-        elif self.config.addition_embed_type == "image":
-            # Kandinsky 2.2 - style
-            if "image_embeds" not in added_cond_kwargs:
-                raise ValueError(
-                    f"{self.__class__} has the config param `addition_embed_type` set to 'image' which requires the keyword argument `image_embeds` to be passed in `added_cond_kwargs`"
-                )
-            image_embs = added_cond_kwargs.get("image_embeds")
-            aug_emb = self.add_embedding(image_embs)
-        elif self.config.addition_embed_type == "image_hint":
-            # Kandinsky 2.2 - style
-            if "image_embeds" not in added_cond_kwargs or "hint" not in added_cond_kwargs:
-                raise ValueError(
-                    f"{self.__class__} has the config param `addition_embed_type` set to 'image_hint' which requires the keyword arguments `image_embeds` and `hint` to be passed in `added_cond_kwargs`"
-                )
-            image_embs = added_cond_kwargs.get("image_embeds")
-            hint = added_cond_kwargs.get("hint")
-            aug_emb, hint = self.add_embedding(image_embs, hint)
-            sample = torch.cat([sample, hint], dim=1)
-
-        emb = emb + aug_emb if aug_emb is not None else emb
-        emb_pre_act = emb
-        if self.time_embed_act is not None:
-            emb = self.time_embed_act(emb)
-
-        if self.encoder_hid_proj is not None and self.config.encoder_hid_dim_type == "text_proj":
-            encoder_hidden_states = self.encoder_hid_proj(encoder_hidden_states)
-        elif self.encoder_hid_proj is not None and self.config.encoder_hid_dim_type == "text_image_proj":
-            # Kadinsky 2.1 - style
-            if "image_embeds" not in added_cond_kwargs:
-                raise ValueError(
-                    f"{self.__class__} has the config param `encoder_hid_dim_type` set to 'text_image_proj' which requires the keyword argument `image_embeds` to be passed in  `added_conditions`"
-                )
-
-            image_embeds = added_cond_kwargs.get("image_embeds")
-            encoder_hidden_states = self.encoder_hid_proj(encoder_hidden_states, image_embeds)
-        elif self.encoder_hid_proj is not None and self.config.encoder_hid_dim_type == "image_proj":
-            # Kandinsky 2.2 - style
-            if "image_embeds" not in added_cond_kwargs:
-                raise ValueError(
-                    f"{self.__class__} has the config param `encoder_hid_dim_type` set to 'image_proj' which requires the keyword argument `image_embeds` to be passed in  `added_conditions`"
-                )
-            image_embeds = added_cond_kwargs.get("image_embeds")
-            encoder_hidden_states = self.encoder_hid_proj(image_embeds)
-        # 2. pre-process
-        sample = self.conv_in(sample)
-        # 3. down
-
-        is_controlnet = mid_block_additional_residual is not None and down_block_additional_residuals is not None
-        is_adapter = mid_block_additional_residual is None and down_block_additional_residuals is not None
-
-        down_block_res_samples = (sample,)
-        for i, downsample_block in enumerate(self.down_blocks):
-            if hasattr(downsample_block, "has_cross_attention") and downsample_block.has_cross_attention:
-                # For t2i-adapter CrossAttnDownBlock2D
-                additional_residuals = {}
-                if is_adapter and len(down_block_additional_residuals) > 0:
-                    additional_residuals["additional_residuals"] = down_block_additional_residuals.pop(0)
-
-                sample, res_samples = downsample_block(
-                    hidden_states=sample,
-                    temb=emb,
-                    encoder_hidden_states=encoder_hidden_states,
-                    dino_feature=dino_feature,
-                    attention_mask=attention_mask,
-                    cross_attention_kwargs=cross_attention_kwargs,
-                    encoder_attention_mask=encoder_attention_mask,
-                    **additional_residuals,
-                )
-            else:
-                sample, res_samples = downsample_block(hidden_states=sample, temb=emb)
-
-                if is_adapter and len(down_block_additional_residuals) > 0:
-                    sample += down_block_additional_residuals.pop(0)
-
-            down_block_res_samples += res_samples
-
-        if is_controlnet:
-            new_down_block_res_samples = ()
-
-            for down_block_res_sample, down_block_additional_residual in zip(
-                down_block_res_samples, down_block_additional_residuals
-            ):
-                down_block_res_sample = down_block_res_sample + down_block_additional_residual
-                new_down_block_res_samples = new_down_block_res_samples + (down_block_res_sample,)
-
-            down_block_res_samples = new_down_block_res_samples
-
-        if self.addition_downsample:
-            global_sample = sample
-            global_sample = self.downsample(global_sample)
-            for layer in self.conv_block:
-                global_sample = layer(global_sample)
-            global_sample = self.addition_act_out(self.addition_conv_out(global_sample))
-            global_sample = self.upsample(global_sample)
-        # 4. mid
-        if self.mid_block is not None:
-            sample = self.mid_block(
-                sample,
-                emb,
-                encoder_hidden_states=encoder_hidden_states,
-                dino_feature=dino_feature,
-                attention_mask=attention_mask,
-                cross_attention_kwargs=cross_attention_kwargs,
-                encoder_attention_mask=encoder_attention_mask,
-            )        
-        # 4.1 regress elevation and focal length
-        # # predict elevation -> embed -> projection -> add to time emb
-        if self.regress_elevation or self.regress_focal_length:
-            pool_embeds = self.pool(sample.detach()).squeeze(-1).squeeze(-1) # (2B, C)
-            if self.mvcd_attention:
-                pool_embeds_normal, pool_embeds_color = torch.chunk(pool_embeds, 2, dim=0)
-                pool_embeds = torch.cat([pool_embeds_normal, pool_embeds_color], dim=-1) # (B, 2C)
-            pose_pred = []
-            if self.regress_elevation:
-                ele_pred = self.elevation_regressor(pool_embeds)
-                ele_pred = rearrange(ele_pred, '(b v) c -> b v c', v=self.num_views)
-                ele_pred = torch.mean(ele_pred, dim=1)
-                pose_pred.append(ele_pred) # b, c
-            
-            if self.regress_focal_length:
-                focal_pred = self.focal_regressor(pool_embeds)
-                focal_pred = rearrange(focal_pred, '(b v) c -> b v c', v=self.num_views)
-                focal_pred = torch.mean(focal_pred, dim=1)
-                pose_pred.append(focal_pred)
-            pose_pred = torch.cat(pose_pred, dim=-1)
-            # 'e_de_da_sincos', (B, 2)
-            pose_embeds = torch.cat([
-                torch.sin(pose_pred),
-                torch.cos(pose_pred)
-            ], dim=-1)
-            pose_embeds = self.camera_embedding(pose_embeds)
-            pose_embeds = torch.repeat_interleave(pose_embeds, self.num_views, 0) 
-            if self.mvcd_attention:
-                pose_embeds = torch.cat([pose_embeds,] * 2, dim=0)
-
-            emb = pose_embeds + emb_pre_act
-            if self.time_embed_act is not None:
-                emb = self.time_embed_act(emb)
-            
-        if is_controlnet:
-            sample = sample + mid_block_additional_residual
-
-        if self.addition_downsample:
-            sample = sample + global_sample
-            
-        # 5. up
-        for i, upsample_block in enumerate(self.up_blocks):
-            is_final_block = i == len(self.up_blocks) - 1
-
-            res_samples = down_block_res_samples[-len(upsample_block.resnets) :]
-            down_block_res_samples = down_block_res_samples[: -len(upsample_block.resnets)]
-
-            # if we have not reached the final block and need to forward the
-            # upsample size, we do it here
-            if not is_final_block and forward_upsample_size:
-                upsample_size = down_block_res_samples[-1].shape[2:]
-
-            if hasattr(upsample_block, "has_cross_attention") and upsample_block.has_cross_attention:
-                sample = upsample_block(
-                    hidden_states=sample,
-                    temb=emb,
-                    res_hidden_states_tuple=res_samples,
-                    encoder_hidden_states=encoder_hidden_states,
-                    dino_feature=dino_feature,
-                    cross_attention_kwargs=cross_attention_kwargs,
-                    upsample_size=upsample_size,
-                    attention_mask=attention_mask,
-                    encoder_attention_mask=encoder_attention_mask,
-                )
-            else:
-                sample = upsample_block(
-                    hidden_states=sample, temb=emb, res_hidden_states_tuple=res_samples, upsample_size=upsample_size
-                )
-        if torch.isnan(sample).any() or torch.isinf(sample).any():
-            print("NAN in sample, stop training.")
-            exit() 
-        # 6. post-process
-        if self.conv_norm_out:
-            sample = self.conv_norm_out(sample)
-            sample = self.conv_act(sample)
-        sample = self.conv_out(sample)
-        if not return_dict:
-            return (sample, pose_pred)
-        if self.regress_elevation or self.regress_focal_length:
-            return UNetMV2DConditionOutput(sample=sample), pose_pred
-        else:
-            return UNetMV2DConditionOutput(sample=sample)
-
-        
-    @classmethod
-    def from_pretrained_2d(
-            cls, pretrained_model_name_or_path: Optional[Union[str, os.PathLike]],
-            camera_embedding_type: str, num_views: int, sample_size: int,
-            zero_init_conv_in: bool = True, zero_init_camera_projection: bool = False,
-            projection_camera_embeddings_input_dim: int=2,  
-            cd_attention_last: bool = False, num_regress_blocks: int = 4,
-            cd_attention_mid: bool = False, multiview_attention: bool = True, 
-            sparse_mv_attention: bool = False, selfattn_block: str = 'custom', mvcd_attention: bool = False,
-            in_channels: int = 8, out_channels: int = 4, unclip: bool = False, regress_elevation: bool = False, regress_focal_length: bool = False, 
-            init_mvattn_with_selfattn: bool= False, use_dino: bool = False, addition_downsample: bool = False,
-            **kwargs
-        ):
-        r"""
-        Instantiate a pretrained PyTorch model from a pretrained model configuration.
-
-        The model is set in evaluation mode - `model.eval()` - by default, and dropout modules are deactivated. To
-        train the model, set it back in training mode with `model.train()`.
-
-        Parameters:
-            pretrained_model_name_or_path (`str` or `os.PathLike`, *optional*):
-                Can be either:
-
-                    - A string, the *model id* (for example `google/ddpm-celebahq-256`) of a pretrained model hosted on
-                      the Hub.
-                    - A path to a *directory* (for example `./my_model_directory`) containing the model weights saved
-                      with [`~ModelMixin.save_pretrained`].
-
-            cache_dir (`Union[str, os.PathLike]`, *optional*):
-                Path to a directory where a downloaded pretrained model configuration is cached if the standard cache
-                is not used.
-            torch_dtype (`str` or `torch.dtype`, *optional*):
-                Override the default `torch.dtype` and load the model with another dtype. If `"auto"` is passed, the
-                dtype is automatically derived from the model's weights.
-            force_download (`bool`, *optional*, defaults to `False`):
-                Whether or not to force the (re-)download of the model weights and configuration files, overriding the
-                cached versions if they exist.
-            resume_download (`bool`, *optional*, defaults to `False`):
-                Whether or not to resume downloading the model weights and configuration files. If set to `False`, any
-                incompletely downloaded files are deleted.
-            proxies (`Dict[str, str]`, *optional*):
-                A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
-                'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.
-            output_loading_info (`bool`, *optional*, defaults to `False`):
-                Whether or not to also return a dictionary containing missing keys, unexpected keys and error messages.
-            local_files_only(`bool`, *optional*, defaults to `False`):
-                Whether to only load local model weights and configuration files or not. If set to `True`, the model
-                won't be downloaded from the Hub.
-            use_auth_token (`str` or *bool*, *optional*):
-                The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
-                `diffusers-cli login` (stored in `~/.huggingface`) is used.
-            revision (`str`, *optional*, defaults to `"main"`):
-                The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier
-                allowed by Git.
-            from_flax (`bool`, *optional*, defaults to `False`):
-                Load the model weights from a Flax checkpoint save file.
-            subfolder (`str`, *optional*, defaults to `""`):
-                The subfolder location of a model file within a larger model repository on the Hub or locally.
-            mirror (`str`, *optional*):
-                Mirror source to resolve accessibility issues if you're downloading a model in China. We do not
-                guarantee the timeliness or safety of the source, and you should refer to the mirror site for more
-                information.
-            device_map (`str` or `Dict[str, Union[int, str, torch.device]]`, *optional*):
-                A map that specifies where each submodule should go. It doesn't need to be defined for each
-                parameter/buffer name; once a given module name is inside, every submodule of it will be sent to the
-                same device.
-
-                Set `device_map="auto"` to have 🤗 Accelerate automatically compute the most optimized `device_map`. For
-                more information about each option see [designing a device
-                map](https://hf.co/docs/accelerate/main/en/usage_guides/big_modeling#designing-a-device-map).
-            max_memory (`Dict`, *optional*):
-                A dictionary device identifier for the maximum memory. Will default to the maximum memory available for
-                each GPU and the available CPU RAM if unset.
-            offload_folder (`str` or `os.PathLike`, *optional*):
-                The path to offload weights if `device_map` contains the value `"disk"`.
-            offload_state_dict (`bool`, *optional*):
-                If `True`, temporarily offloads the CPU state dict to the hard drive to avoid running out of CPU RAM if
-                the weight of the CPU state dict + the biggest shard of the checkpoint does not fit. Defaults to `True`
-                when there is some disk offload.
-            low_cpu_mem_usage (`bool`, *optional*, defaults to `True` if torch version >= 1.9.0 else `False`):
-                Speed up model loading only loading the pretrained weights and not initializing the weights. This also
-                tries to not use more than 1x model size in CPU memory (including peak memory) while loading the model.
-                Only supported for PyTorch >= 1.9.0. If you are using an older version of PyTorch, setting this
-                argument to `True` will raise an error.
-            variant (`str`, *optional*):
-                Load weights from a specified `variant` filename such as `"fp16"` or `"ema"`. This is ignored when
-                loading `from_flax`.
-            use_safetensors (`bool`, *optional*, defaults to `None`):
-                If set to `None`, the `safetensors` weights are downloaded if they're available **and** if the
-                `safetensors` library is installed. If set to `True`, the model is forcibly loaded from `safetensors`
-                weights. If set to `False`, `safetensors` weights are not loaded.
-
-        <Tip>
-
-        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with
-        `huggingface-cli login`. You can also activate the special
-        ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a
-        firewalled environment.
-
-        </Tip>
-
-        Example:
-
-        ```py
-        from diffusers import UNet2DConditionModel
-
-        unet = UNet2DConditionModel.from_pretrained("runwayml/stable-diffusion-v1-5", subfolder="unet")
-        ```
-
-        If you get the error message below, you need to finetune the weights for your downstream task:
-
-        ```bash
-        Some weights of UNet2DConditionModel were not initialized from the model checkpoint at runwayml/stable-diffusion-v1-5 and are newly initialized because the shapes did not match:
-        - conv_in.weight: found shape torch.Size([320, 4, 3, 3]) in the checkpoint and torch.Size([320, 9, 3, 3]) in the model instantiated
-        You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
-        ```
-        """
-        cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE)
-        ignore_mismatched_sizes = kwargs.pop("ignore_mismatched_sizes", False)
-        force_download = kwargs.pop("force_download", False)
-        from_flax = kwargs.pop("from_flax", False)
-        resume_download = kwargs.pop("resume_download", False)
-        proxies = kwargs.pop("proxies", None)
-        output_loading_info = kwargs.pop("output_loading_info", False)
-        local_files_only = kwargs.pop("local_files_only", HF_HUB_OFFLINE)
-        use_auth_token = kwargs.pop("use_auth_token", None)
-        revision = kwargs.pop("revision", None)
-        torch_dtype = kwargs.pop("torch_dtype", None)
-        subfolder = kwargs.pop("subfolder", None)
-        device_map = kwargs.pop("device_map", None)
-        max_memory = kwargs.pop("max_memory", None)
-        offload_folder = kwargs.pop("offload_folder", None)
-        offload_state_dict = kwargs.pop("offload_state_dict", False)
-        variant = kwargs.pop("variant", None)
-        use_safetensors = kwargs.pop("use_safetensors", None)
-
-        if use_safetensors:
-            raise ValueError(
-                "`use_safetensors`=True but safetensors is not installed. Please install safetensors with `pip install safetensors"
-            )
-
-        allow_pickle = False
-        if use_safetensors is None:
-            use_safetensors = True
-            allow_pickle = True
-
-        if device_map is not None and not is_accelerate_available():
-            raise NotImplementedError(
-                "Loading and dispatching requires `accelerate`. Please make sure to install accelerate or set"
-                " `device_map=None`. You can install accelerate with `pip install accelerate`."
-            )
-
-        # Check if we can handle device_map and dispatching the weights
-        if device_map is not None and not is_torch_version(">=", "1.9.0"):
-            raise NotImplementedError(
-                "Loading and dispatching requires torch >= 1.9.0. Please either update your PyTorch version or set"
-                " `device_map=None`."
-            )
-
-        # Load config if we don't provide a configuration
-        config_path = pretrained_model_name_or_path
-
-        user_agent = {
-            "diffusers": __version__,
-            "file_type": "model",
-            "framework": "pytorch",
-        }
-
-        # load config
-        config, unused_kwargs, commit_hash = cls.load_config(
-            config_path,
-            cache_dir=cache_dir,
-            return_unused_kwargs=True,
-            return_commit_hash=True,
-            force_download=force_download,
-            resume_download=resume_download,
-            proxies=proxies,
-            local_files_only=local_files_only,
-            use_auth_token=use_auth_token,
-            revision=revision,
-            subfolder=subfolder,
-            device_map=device_map,
-            max_memory=max_memory,
-            offload_folder=offload_folder,
-            offload_state_dict=offload_state_dict,
-            user_agent=user_agent,
-            **kwargs,
-        )
-
-        # modify config
-        config["_class_name"] = cls.__name__
-        config['in_channels'] = in_channels
-        config['out_channels'] = out_channels
-        config['sample_size'] = sample_size # training resolution
-        config['num_views'] = num_views
-        config['cd_attention_last'] = cd_attention_last
-        config['cd_attention_mid'] = cd_attention_mid
-        config['multiview_attention'] = multiview_attention
-        config['sparse_mv_attention'] = sparse_mv_attention
-        config['selfattn_block'] = selfattn_block
-        config['mvcd_attention'] = mvcd_attention
-        config["down_block_types"] = [
-            "CrossAttnDownBlockMV2D",
-            "CrossAttnDownBlockMV2D",
-            "CrossAttnDownBlockMV2D",
-            "DownBlock2D"
-        ]
-        config['mid_block_type'] = "UNetMidBlockMV2DCrossAttn"
-        config["up_block_types"] = [
-            "UpBlock2D",
-            "CrossAttnUpBlockMV2D",
-            "CrossAttnUpBlockMV2D",
-            "CrossAttnUpBlockMV2D"
-        ]
-        
-
-        config['regress_elevation'] = regress_elevation # true
-        config['regress_focal_length'] = regress_focal_length # true
-        config['projection_camera_embeddings_input_dim'] = projection_camera_embeddings_input_dim # 2 for elevation and 10 for focal_length  
-        config['use_dino'] = use_dino 
-        config['num_regress_blocks'] = num_regress_blocks
-        config['addition_downsample'] = addition_downsample
-        # load model
-        model_file = None
-        if from_flax:
-            raise NotImplementedError
-        else:
-            if use_safetensors:
-                try:
-                    model_file = _get_model_file(
-                        pretrained_model_name_or_path,
-                        weights_name=_add_variant(SAFETENSORS_WEIGHTS_NAME, variant),
-                        cache_dir=cache_dir,
-                        force_download=force_download,
-                        resume_download=resume_download,
-                        proxies=proxies,
-                        local_files_only=local_files_only,
-                        use_auth_token=use_auth_token,
-                        revision=revision,
-                        subfolder=subfolder,
-                        user_agent=user_agent,
-                        commit_hash=commit_hash,
-                    )
-                except IOError as e:
-                    if not allow_pickle:
-                        raise e
-                    pass
-            if model_file is None:
-                model_file = _get_model_file(
-                    pretrained_model_name_or_path,
-                    weights_name=_add_variant(WEIGHTS_NAME, variant),
-                    cache_dir=cache_dir,
-                    force_download=force_download,
-                    resume_download=resume_download,
-                    proxies=proxies,
-                    local_files_only=local_files_only,
-                    use_auth_token=use_auth_token,
-                    revision=revision,
-                    subfolder=subfolder,
-                    user_agent=user_agent,
-                    commit_hash=commit_hash,
-                )
-
-            model = cls.from_config(config, **unused_kwargs)
-            import copy
-            state_dict_pretrain = load_state_dict(model_file, variant=variant)
-            state_dict = copy.deepcopy(state_dict_pretrain)
-            
-            if init_mvattn_with_selfattn:
-                for key in state_dict_pretrain:
-                    if 'attn1' in key:
-                        key_mv = key.replace('attn1', 'attn_mv')
-                        state_dict[key_mv] = state_dict_pretrain[key]
-                        if 'to_out.0.weight' in key:
-                            nn.init.zeros_(state_dict[key_mv].data)
-                    if 'transformer_blocks' in key and 'norm1' in key: # in case that initialize the norm layer in resnet block
-                        key_mv = key.replace('norm1', 'norm_mv')
-                        state_dict[key_mv] = state_dict_pretrain[key]
-            # del state_dict_pretrain
-            
-            model._convert_deprecated_attention_blocks(state_dict)
-
-            conv_in_weight = state_dict['conv_in.weight']
-            conv_out_weight = state_dict['conv_out.weight']
-            model, missing_keys, unexpected_keys, mismatched_keys, error_msgs = cls._load_pretrained_model_2d(
-                model,
-                state_dict,
-                model_file,
-                pretrained_model_name_or_path,
-                ignore_mismatched_sizes=True,
-            )
-            if any([key == 'conv_in.weight' for key, _, _ in mismatched_keys]):
-                # initialize from the original SD structure
-                model.conv_in.weight.data[:,:4] = conv_in_weight
-
-            # whether to place all zero to new layers?
-            if zero_init_conv_in:
-                model.conv_in.weight.data[:,4:] = 0.
-
-            if any([key == 'conv_out.weight' for key, _, _ in mismatched_keys]):
-                # initialize from the original SD structure
-                model.conv_out.weight.data[:,:4] = conv_out_weight
-                if out_channels == 8: # copy for the last 4 channels
-                    model.conv_out.weight.data[:, 4:] = conv_out_weight
-
-            if zero_init_camera_projection: # true
-                params = [p for p in model.camera_embedding.parameters()]
-                torch.nn.init.zeros_(params[-1].data)
-
-            loading_info = {
-                "missing_keys": missing_keys,
-                "unexpected_keys": unexpected_keys,
-                "mismatched_keys": mismatched_keys,
-                "error_msgs": error_msgs,
-            }
-
-        if torch_dtype is not None and not isinstance(torch_dtype, torch.dtype):
-            raise ValueError(
-                f"{torch_dtype} needs to be of type `torch.dtype`, e.g. `torch.float16`, but is {type(torch_dtype)}."
-            )
-        elif torch_dtype is not None:
-            model = model.to(torch_dtype)
-
-        model.register_to_config(_name_or_path=pretrained_model_name_or_path)
-
-        # Set model in evaluation mode to deactivate DropOut modules by default
-        model.eval()
-        if output_loading_info:
-            return model, loading_info
-        return model
-
-    @classmethod
-    def _load_pretrained_model_2d(
-        cls,
-        model,
-        state_dict,
-        resolved_archive_file,
-        pretrained_model_name_or_path,
-        ignore_mismatched_sizes=False,
-    ):
-        # Retrieve missing & unexpected_keys
-        model_state_dict = model.state_dict()
-        loaded_keys = list(state_dict.keys())
-
-        expected_keys = list(model_state_dict.keys())
-
-        original_loaded_keys = loaded_keys
-
-        missing_keys = list(set(expected_keys) - set(loaded_keys))
-        unexpected_keys = list(set(loaded_keys) - set(expected_keys))
-
-        # Make sure we are able to load base models as well as derived models (with heads)
-        model_to_load = model
-
-        def _find_mismatched_keys(
-            state_dict,
-            model_state_dict,
-            loaded_keys,
-            ignore_mismatched_sizes,
-        ):
-            mismatched_keys = []
-            if ignore_mismatched_sizes:
-                for checkpoint_key in loaded_keys:
-                    model_key = checkpoint_key
-
-                    if (
-                        model_key in model_state_dict
-                        and state_dict[checkpoint_key].shape != model_state_dict[model_key].shape
-                    ):
-                        mismatched_keys.append(
-                            (checkpoint_key, state_dict[checkpoint_key].shape, model_state_dict[model_key].shape)
-                        )
-                        del state_dict[checkpoint_key]
-            return mismatched_keys
-
-        if state_dict is not None:
-            # Whole checkpoint
-            mismatched_keys = _find_mismatched_keys(
-                state_dict,
-                model_state_dict,
-                original_loaded_keys,
-                ignore_mismatched_sizes,
-            )
-            error_msgs = _load_state_dict_into_model(model_to_load, state_dict)
-
-        if len(error_msgs) > 0:
-            error_msg = "\n\t".join(error_msgs)
-            if "size mismatch" in error_msg:
-                error_msg += (
-                    "\n\tYou may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` method."
-                )
-            raise RuntimeError(f"Error(s) in loading state_dict for {model.__class__.__name__}:\n\t{error_msg}")
-
-        if len(unexpected_keys) > 0:
-            logger.warning(
-                f"Some weights of the model checkpoint at {pretrained_model_name_or_path} were not used when"
-                f" initializing {model.__class__.__name__}: {unexpected_keys}\n- This IS expected if you are"
-                f" initializing {model.__class__.__name__} from the checkpoint of a model trained on another task"
-                " or with another architecture (e.g. initializing a BertForSequenceClassification model from a"
-                " BertForPreTraining model).\n- This IS NOT expected if you are initializing"
-                f" {model.__class__.__name__} from the checkpoint of a model that you expect to be exactly"
-                " identical (initializing a BertForSequenceClassification model from a"
-                " BertForSequenceClassification model)."
-            )
-        else:
-            logger.info(f"All model checkpoint weights were used when initializing {model.__class__.__name__}.\n")
-        if len(missing_keys) > 0:
-            logger.warning(
-                f"Some weights of {model.__class__.__name__} were not initialized from the model checkpoint at"
-                f" {pretrained_model_name_or_path} and are newly initialized: {missing_keys}\nYou should probably"
-                " TRAIN this model on a down-stream task to be able to use it for predictions and inference."
-            )
-        elif len(mismatched_keys) == 0:
-            logger.info(
-                f"All the weights of {model.__class__.__name__} were initialized from the model checkpoint at"
-                f" {pretrained_model_name_or_path}.\nIf your task is similar to the task the model of the"
-                f" checkpoint was trained on, you can already use {model.__class__.__name__} for predictions"
-                " without further training."
-            )
-        if len(mismatched_keys) > 0:
-            mismatched_warning = "\n".join(
-                [
-                    f"- {key}: found shape {shape1} in the checkpoint and {shape2} in the model instantiated"
-                    for key, shape1, shape2 in mismatched_keys
-                ]
-            )
-            logger.warning(
-                f"Some weights of {model.__class__.__name__} were not initialized from the model checkpoint at"
-                f" {pretrained_model_name_or_path} and are newly initialized because the shapes did not"
-                f" match:\n{mismatched_warning}\nYou should probably TRAIN this model on a down-stream task to be"
-                " able to use it for predictions and inference."
-            )
-
-        return model, missing_keys, unexpected_keys, mismatched_keys, error_msgs
-
diff --git a/mvdiffusion/pipelines/pipeline_mvdiffusion_unclip.py b/mvdiffusion/pipelines/pipeline_mvdiffusion_unclip.py
deleted file mode 100644
index 21ce63fbeefe82116839d18a9402a076c0ccee86..0000000000000000000000000000000000000000
--- a/mvdiffusion/pipelines/pipeline_mvdiffusion_unclip.py
+++ /dev/null
@@ -1,633 +0,0 @@
-import inspect
-import warnings
-from typing import Callable, List, Optional, Union, Dict, Any
-import PIL
-import torch
-from packaging import version
-from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection, CLIPFeatureExtractor, CLIPTokenizer, CLIPTextModel
-from diffusers.utils.import_utils import is_accelerate_available
-from diffusers.configuration_utils import FrozenDict
-from diffusers.image_processor import VaeImageProcessor
-from diffusers.models import AutoencoderKL, UNet2DConditionModel
-from diffusers.models.embeddings import get_timestep_embedding
-from diffusers.schedulers import KarrasDiffusionSchedulers
-from diffusers.utils import deprecate, logging
-from diffusers.utils.torch_utils import randn_tensor
-from diffusers.pipelines.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
-from diffusers.pipelines.stable_diffusion.stable_unclip_image_normalizer import StableUnCLIPImageNormalizer
-import os
-import torchvision.transforms.functional as TF
-from einops import rearrange
-logger = logging.get_logger(__name__)
-
-class StableUnCLIPImg2ImgPipeline(DiffusionPipeline):
-    """
-    Pipeline for text-guided image to image generation using stable unCLIP.
-
-    This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods the
-    library implements for all the pipelines (such as downloading or saving, running on a particular device, etc.)
-
-    Args:
-        feature_extractor ([`CLIPFeatureExtractor`]):
-            Feature extractor for image pre-processing before being encoded.
-        image_encoder ([`CLIPVisionModelWithProjection`]):
-            CLIP vision model for encoding images.
-        image_normalizer ([`StableUnCLIPImageNormalizer`]):
-            Used to normalize the predicted image embeddings before the noise is applied and un-normalize the image
-            embeddings after the noise has been applied.
-        image_noising_scheduler ([`KarrasDiffusionSchedulers`]):
-            Noise schedule for adding noise to the predicted image embeddings. The amount of noise to add is determined
-            by `noise_level` in `StableUnCLIPPipeline.__call__`.
-        tokenizer (`CLIPTokenizer`):
-            Tokenizer of class
-            [CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer).
-        text_encoder ([`CLIPTextModel`]):
-            Frozen text-encoder.
-        unet ([`UNet2DConditionModel`]): Conditional U-Net architecture to denoise the encoded image latents.
-        scheduler ([`KarrasDiffusionSchedulers`]):
-            A scheduler to be used in combination with `unet` to denoise the encoded image latents.
-        vae ([`AutoencoderKL`]):
-            Variational Auto-Encoder (VAE) Model to encode and decode images to and from latent representations.
-    """
-    # image encoding components
-    feature_extractor: CLIPFeatureExtractor
-    image_encoder: CLIPVisionModelWithProjection
-    # image noising components
-    image_normalizer: StableUnCLIPImageNormalizer
-    image_noising_scheduler: KarrasDiffusionSchedulers
-    # regular denoising components
-    tokenizer: CLIPTokenizer
-    text_encoder: CLIPTextModel
-    unet: UNet2DConditionModel
-    scheduler: KarrasDiffusionSchedulers
-    vae: AutoencoderKL
-
-    def __init__(
-        self,
-        # image encoding components
-        feature_extractor: CLIPFeatureExtractor,
-        image_encoder: CLIPVisionModelWithProjection,
-        # image noising components
-        image_normalizer: StableUnCLIPImageNormalizer,
-        image_noising_scheduler: KarrasDiffusionSchedulers,
-        # regular denoising components
-        tokenizer: CLIPTokenizer,
-        text_encoder: CLIPTextModel,
-        unet: UNet2DConditionModel,
-        scheduler: KarrasDiffusionSchedulers,
-        # vae
-        vae: AutoencoderKL,
-        num_views: int = 4,
-    ):
-        super().__init__()
-
-        self.register_modules(
-            feature_extractor=feature_extractor,
-            image_encoder=image_encoder,
-            image_normalizer=image_normalizer,
-            image_noising_scheduler=image_noising_scheduler,
-            tokenizer=tokenizer,
-            text_encoder=text_encoder,
-            unet=unet,
-            scheduler=scheduler,
-            vae=vae,
-        )
-        self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1)
-        self.image_processor = VaeImageProcessor(vae_scale_factor=self.vae_scale_factor)
-        self.num_views: int = num_views
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.enable_vae_slicing
-    def enable_vae_slicing(self):
-        r"""
-        Enable sliced VAE decoding.
-
-        When this option is enabled, the VAE will split the input tensor in slices to compute decoding in several
-        steps. This is useful to save some memory and allow larger batch sizes.
-        """
-        self.vae.enable_slicing()
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.disable_vae_slicing
-    def disable_vae_slicing(self):
-        r"""
-        Disable sliced VAE decoding. If `enable_vae_slicing` was previously invoked, this method will go back to
-        computing decoding in one step.
-        """
-        self.vae.disable_slicing()
-
-    def enable_sequential_cpu_offload(self, gpu_id=0):
-        r"""
-        Offloads all models to CPU using accelerate, significantly reducing memory usage. When called, the pipeline's
-        models have their state dicts saved to CPU and then are moved to a `torch.device('meta') and loaded to GPU only
-        when their specific submodule has its `forward` method called.
-        """
-        if is_accelerate_available():
-            from accelerate import cpu_offload
-        else:
-            raise ImportError("Please install accelerate via `pip install accelerate`")
-
-        device = torch.device(f"cuda:{gpu_id}")
-
-        # TODO: self.image_normalizer.{scale,unscale} are not covered by the offload hooks, so they fails if added to the list
-        models = [
-            self.image_encoder,
-            self.text_encoder,
-            self.unet,
-            self.vae,
-        ]
-        for cpu_offloaded_model in models:
-            if cpu_offloaded_model is not None:
-                cpu_offload(cpu_offloaded_model, device)
-
-    @property
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline._execution_device
-    def _execution_device(self):
-        r"""
-        Returns the device on which the pipeline's models will be executed. After calling
-        `pipeline.enable_sequential_cpu_offload()` the execution device can only be inferred from Accelerate's module
-        hooks.
-        """
-        if not hasattr(self.unet, "_hf_hook"):
-            return self.device
-        for module in self.unet.modules():
-            if (
-                hasattr(module, "_hf_hook")
-                and hasattr(module._hf_hook, "execution_device")
-                and module._hf_hook.execution_device is not None
-            ):
-                return torch.device(module._hf_hook.execution_device)
-        return self.device
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline._encode_prompt
-    def _encode_prompt(
-        self,
-        prompt,
-        device,
-        num_images_per_prompt,
-        do_classifier_free_guidance,
-        negative_prompt=None,
-        prompt_embeds: Optional[torch.FloatTensor] = None,
-        negative_prompt_embeds: Optional[torch.FloatTensor] = None,
-        lora_scale: Optional[float] = None,
-    ):
-        r"""
-        Encodes the prompt into text encoder hidden states.
-
-        Args:
-             prompt (`str` or `List[str]`, *optional*):
-                prompt to be encoded
-            device: (`torch.device`):
-                torch device
-            num_images_per_prompt (`int`):
-                number of images that should be generated per prompt
-            do_classifier_free_guidance (`bool`):
-                whether to use classifier free guidance or not
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts not to guide the image generation. If not defined, one has to pass
-                `negative_prompt_embeds`. instead. If not defined, one has to pass `negative_prompt_embeds`. instead.
-                Ignored when not using guidance (i.e., ignored if `guidance_scale` is less than `1`).
-            prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-                provided, text embeddings will be generated from `prompt` input argument.
-            negative_prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-                argument.
-        """
-        prompt_embeds = prompt_embeds.to(dtype=self.text_encoder.dtype, device=device)
-
-        if do_classifier_free_guidance:
-            # For classifier free guidance, we need to do two forward passes.
-            # Here we concatenate the unconditional and text embeddings into a single batch
-            # to avoid doing two forward passes
-            normal_prompt_embeds, color_prompt_embeds = torch.chunk(prompt_embeds, 2, dim=0)
-            
-            prompt_embeds = torch.cat([normal_prompt_embeds, normal_prompt_embeds, color_prompt_embeds, color_prompt_embeds], 0)
-
-        return prompt_embeds
-
-    def _encode_image(
-        self,
-        image_pil,
-        device,
-        num_images_per_prompt,
-        do_classifier_free_guidance,
-        noise_level: int=0,
-        generator: Optional[torch.Generator] = None
-    ):
-        dtype = next(self.image_encoder.parameters()).dtype
-        # ______________________________clip image embedding______________________________ 
-        image = self.feature_extractor(images=image_pil, return_tensors="pt").pixel_values
-        image = image.to(device=device, dtype=dtype)
-        image_embeds = self.image_encoder(image).image_embeds
-        
-        image_embeds = self.noise_image_embeddings(
-            image_embeds=image_embeds,
-            noise_level=noise_level,
-            generator=generator,
-            )
-        # duplicate image embeddings for each generation per prompt, using mps friendly method
-        # image_embeds = image_embeds.unsqueeze(1)
-        # note: the condition input is same
-        image_embeds = image_embeds.repeat(num_images_per_prompt, 1)
-
-        if do_classifier_free_guidance:
-            normal_image_embeds, color_image_embeds = torch.chunk(image_embeds, 2, dim=0)
-            negative_prompt_embeds = torch.zeros_like(normal_image_embeds)
-
-            # For classifier free guidance, we need to do two forward passes.
-            # Here we concatenate the unconditional and text embeddings into a single batch
-            # to avoid doing two forward passes
-            image_embeds = torch.cat([negative_prompt_embeds, normal_image_embeds, negative_prompt_embeds, color_image_embeds], 0)
-            
-        # _____________________________vae input latents__________________________________________________
-        image_pt = torch.stack([TF.to_tensor(img) for img in image_pil], dim=0).to(dtype=self.vae.dtype, device=device)
-        image_pt = image_pt * 2.0 - 1.0
-        image_latents = self.vae.encode(image_pt).latent_dist.mode() * self.vae.config.scaling_factor
-        # Note: repeat differently from official pipelines     
-        image_latents = image_latents.repeat(num_images_per_prompt, 1, 1, 1)
-
-        if do_classifier_free_guidance:
-            normal_image_latents, color_image_latents = torch.chunk(image_latents, 2, dim=0)
-            image_latents = torch.cat([torch.zeros_like(normal_image_latents), normal_image_latents, 
-                                       torch.zeros_like(color_image_latents), color_image_latents], 0)
-
-        return image_embeds, image_latents
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
-    def decode_latents(self, latents):
-        latents = 1 / self.vae.config.scaling_factor * latents
-        image = self.vae.decode(latents).sample
-        image = (image / 2 + 0.5).clamp(0, 1)
-        # we always cast to float32 as this does not cause significant overhead and is compatible with bfloat16
-        image = image.cpu().permute(0, 2, 3, 1).float().numpy()
-        return image
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.prepare_extra_step_kwargs
-    def prepare_extra_step_kwargs(self, generator, eta):
-        # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature
-        # eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers.
-        # eta corresponds to η in DDIM paper: https://arxiv.org/abs/2010.02502
-        # and should be between [0, 1]
-
-        accepts_eta = "eta" in set(inspect.signature(self.scheduler.step).parameters.keys())
-        extra_step_kwargs = {}
-        if accepts_eta:
-            extra_step_kwargs["eta"] = eta
-
-        # check if the scheduler accepts generator
-        accepts_generator = "generator" in set(inspect.signature(self.scheduler.step).parameters.keys())
-        if accepts_generator:
-            extra_step_kwargs["generator"] = generator
-        return extra_step_kwargs
-
-    def check_inputs(
-        self,
-        prompt,
-        image,
-        height,
-        width,
-        callback_steps,
-        noise_level,
-    ):
-        if height % 8 != 0 or width % 8 != 0:
-            raise ValueError(f"`height` and `width` have to be divisible by 8 but are {height} and {width}.")
-
-        if (callback_steps is None) or (
-            callback_steps is not None and (not isinstance(callback_steps, int) or callback_steps <= 0)
-        ):
-            raise ValueError(
-                f"`callback_steps` has to be a positive integer but is {callback_steps} of type"
-                f" {type(callback_steps)}."
-            )
-
-        if prompt is not None and (not isinstance(prompt, str) and not isinstance(prompt, list)):
-            raise ValueError(f"`prompt` has to be of type `str` or `list` but is {type(prompt)}")
-
-
-        if noise_level < 0 or noise_level >= self.image_noising_scheduler.config.num_train_timesteps:
-            raise ValueError(
-                f"`noise_level` must be between 0 and {self.image_noising_scheduler.config.num_train_timesteps - 1}, inclusive."
-            )
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.prepare_latents
-    def prepare_latents(self, batch_size, num_channels_latents, height, width, dtype, device, generator, latents=None):
-        shape = (batch_size, num_channels_latents, height // self.vae_scale_factor, width // self.vae_scale_factor)
-        if isinstance(generator, list) and len(generator) != batch_size:
-            raise ValueError(
-                f"You have passed a list of generators of length {len(generator)}, but requested an effective batch"
-                f" size of {batch_size}. Make sure the batch size matches the length of the generators."
-            )
-
-        if latents is None:
-            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
-        else:
-            latents = latents.to(device)
-
-        # scale the initial noise by the standard deviation required by the scheduler
-        latents = latents * self.scheduler.init_noise_sigma
-        return latents
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_unclip.StableUnCLIPPipeline.noise_image_embeddings
-    def noise_image_embeddings(
-        self,
-        image_embeds: torch.Tensor,
-        noise_level: int,
-        noise: Optional[torch.FloatTensor] = None,
-        generator: Optional[torch.Generator] = None,
-    ):
-        """
-        Add noise to the image embeddings. The amount of noise is controlled by a `noise_level` input. A higher
-        `noise_level` increases the variance in the final un-noised images.
-
-        The noise is applied in two ways
-        1. A noise schedule is applied directly to the embeddings
-        2. A vector of sinusoidal time embeddings are appended to the output.
-
-        In both cases, the amount of noise is controlled by the same `noise_level`.
-
-        The embeddings are normalized before the noise is applied and un-normalized after the noise is applied.
-        """
-        if noise is None:
-            noise = randn_tensor(
-                image_embeds.shape, generator=generator, device=image_embeds.device, dtype=image_embeds.dtype
-            )
-
-        noise_level = torch.tensor([noise_level] * image_embeds.shape[0], device=image_embeds.device)
-
-        image_embeds = self.image_normalizer.scale(image_embeds)
-
-        image_embeds = self.image_noising_scheduler.add_noise(image_embeds, timesteps=noise_level, noise=noise)
-
-        image_embeds = self.image_normalizer.unscale(image_embeds)
-
-        noise_level = get_timestep_embedding(
-            timesteps=noise_level, embedding_dim=image_embeds.shape[-1], flip_sin_to_cos=True, downscale_freq_shift=0
-        )
-
-        # `get_timestep_embeddings` does not contain any weights and will always return f32 tensors,
-        # but we might actually be running in fp16. so we need to cast here.
-        # there might be better ways to encapsulate this.
-        noise_level = noise_level.to(image_embeds.dtype)
-
-        image_embeds = torch.cat((image_embeds, noise_level), 1)
-
-        return image_embeds
-
-    @torch.no_grad()
-    # @replace_example_docstring(EXAMPLE_DOC_STRING)
-    def __call__(
-        self,
-        image: Union[torch.FloatTensor, PIL.Image.Image],
-        prompt: Union[str, List[str]],   
-        prompt_embeds: torch.FloatTensor = None,
-        dino_feature: torch.FloatTensor = None,
-        height: Optional[int] = None,
-        width: Optional[int] = None,
-        num_inference_steps: int = 20,
-        guidance_scale: float = 10,
-        negative_prompt: Optional[Union[str, List[str]]] = None,
-        num_images_per_prompt: Optional[int] = 1,
-        eta: float = 0.0,
-        generator: Optional[torch.Generator] = None,
-        latents: Optional[torch.FloatTensor] = None,
-        negative_prompt_embeds: Optional[torch.FloatTensor] = None,
-        output_type: Optional[str] = "pil",
-        return_dict: bool = True,
-        callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: int = 1,
-        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        noise_level: int = 0,
-        image_embeds: Optional[torch.FloatTensor] = None,
-        return_elevation_focal: Optional[bool] = False,
-        gt_img_in: Optional[torch.FloatTensor] = None,
-    ):
-        r"""
-        Function invoked when calling the pipeline for generation.
-
-        Args:
-            prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
-                instead.
-            image (`torch.FloatTensor` or `PIL.Image.Image`):
-                `Image`, or tensor representing an image batch. The image will be encoded to its CLIP embedding which
-                the unet will be conditioned on. Note that the image is _not_ encoded by the vae and then used as the
-                latents in the denoising process such as in the standard stable diffusion text guided image variation
-                process.
-            height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-                The height in pixels of the generated image.
-            width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-                The width in pixels of the generated image.
-            num_inference_steps (`int`, *optional*, defaults to 20):
-                The number of denoising steps. More denoising steps usually lead to a higher quality image at the
-                expense of slower inference.
-            guidance_scale (`float`, *optional*, defaults to 10.0):
-                Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
-                `guidance_scale` is defined as `w` of equation 2. of [Imagen
-                Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
-                1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
-                usually at the expense of lower image quality.
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts not to guide the image generation. If not defined, one has to pass
-                `negative_prompt_embeds`. instead. If not defined, one has to pass `negative_prompt_embeds`. instead.
-                Ignored when not using guidance (i.e., ignored if `guidance_scale` is less than `1`).
-            num_images_per_prompt (`int`, *optional*, defaults to 1):
-                The number of images to generate per prompt.
-            eta (`float`, *optional*, defaults to 0.0):
-                Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to
-                [`schedulers.DDIMScheduler`], will be ignored for others.
-            generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
-                One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
-                to make generation deterministic.
-            latents (`torch.FloatTensor`, *optional*):
-                Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
-                generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
-                tensor will ge generated by sampling using the supplied random `generator`.
-            prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-                provided, text embeddings will be generated from `prompt` input argument.
-            negative_prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-                argument.
-            output_type (`str`, *optional*, defaults to `"pil"`):
-                The output format of the generate image. Choose between
-                [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] instead of a
-                plain tuple.
-            callback (`Callable`, *optional*):
-                A function that will be called every `callback_steps` steps during inference. The function will be
-                called with the following arguments: `callback(step: int, timestep: int, latents: torch.FloatTensor)`.
-            callback_steps (`int`, *optional*, defaults to 1):
-                The frequency at which the `callback` function will be called. If not specified, the callback will be
-                called at every step.
-            cross_attention_kwargs (`dict`, *optional*):
-                A kwargs dictionary that if specified is passed along to the `AttnProcessor` as defined under
-                `self.processor` in
-                [diffusers.cross_attention](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/cross_attention.py).
-            noise_level (`int`, *optional*, defaults to `0`):
-                The amount of noise to add to the image embeddings. A higher `noise_level` increases the variance in
-                the final un-noised images. See `StableUnCLIPPipeline.noise_image_embeddings` for details.
-            image_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated CLIP embeddings to condition the unet on. Note that these are not latents to be used in
-                the denoising process. If you want to provide pre-generated latents, pass them to `__call__` as
-                `latents`.
-
-        Examples:
-
-        Returns:
-            [`~pipelines.ImagePipelineOutput`] or `tuple`: [`~ pipeline_utils.ImagePipelineOutput`] if `return_dict` is
-            True, otherwise a `tuple`. When returning a tuple, the first element is a list with the generated images.
-        """
-        # 0. Default height and width to unet
-        height = height or self.unet.config.sample_size * self.vae_scale_factor
-        width = width or self.unet.config.sample_size * self.vae_scale_factor
-
-        # 1. Check inputs. Raise error if not correct
-        self.check_inputs(
-            prompt=prompt,
-            image=image,
-            height=height,
-            width=width,
-            callback_steps=callback_steps,
-            noise_level=noise_level
-        )
-
-        # 2. Define call parameters
-        if isinstance(image, list):
-            batch_size = len(image)
-        elif isinstance(image, torch.Tensor):
-            batch_size = image.shape[0]
-            assert batch_size >= self.num_views and batch_size % self.num_views == 0
-        elif isinstance(image, PIL.Image.Image):
-            image = [image]*self.num_views*2
-            batch_size = self.num_views*2
-
-        if isinstance(prompt, str):
-            prompt = [prompt] * self.num_views * 2
-
-        device = self._execution_device
-
-        # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
-        # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`
-        # corresponds to doing no classifier free guidance.
-        do_classifier_free_guidance = guidance_scale != 1.0
-
-        # 3. Encode input prompt
-        text_encoder_lora_scale = (
-            cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None
-        )
-        prompt_embeds = self._encode_prompt(
-            prompt=prompt,
-            device=device,
-            num_images_per_prompt=num_images_per_prompt,
-            do_classifier_free_guidance=do_classifier_free_guidance,
-            negative_prompt=negative_prompt,
-            prompt_embeds=prompt_embeds,
-            negative_prompt_embeds=negative_prompt_embeds,
-            lora_scale=text_encoder_lora_scale,
-        )
-        
-
-        # 4. Encoder input image
-        if isinstance(image, list):
-            image_pil = image
-        elif isinstance(image, torch.Tensor):
-            image_pil = [TF.to_pil_image(image[i]) for i in range(image.shape[0])]
-        noise_level = torch.tensor([noise_level], device=device)
-        image_embeds, image_latents = self._encode_image(
-            image_pil=image_pil,
-            device=device,
-            num_images_per_prompt=num_images_per_prompt,
-            do_classifier_free_guidance=do_classifier_free_guidance,
-            noise_level=noise_level,
-            generator=generator,
-        )
-
-        # 5. Prepare timesteps
-        self.scheduler.set_timesteps(num_inference_steps, device=device)
-        timesteps = self.scheduler.timesteps
-
-        # 6. Prepare latent variables
-        num_channels_latents = self.unet.config.out_channels
-        if gt_img_in is not None:
-            latents = gt_img_in * self.scheduler.init_noise_sigma
-        else:
-            latents = self.prepare_latents(
-                batch_size=batch_size,
-                num_channels_latents=num_channels_latents,
-                height=height,
-                width=width,
-                dtype=prompt_embeds.dtype,
-                device=device,
-                generator=generator,
-                latents=latents,
-            )
-
-        # 7. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
-        extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
-
-        eles, focals = [], []
-        # 8. Denoising loop
-        for i, t in enumerate(self.progress_bar(timesteps)):
-            if do_classifier_free_guidance:
-                normal_latents, color_latents = torch.chunk(latents, 2, dim=0)  
-                latent_model_input = torch.cat([normal_latents, normal_latents, color_latents, color_latents], 0)
-            else:
-                latent_model_input = latents
-            latent_model_input = torch.cat([
-                    latent_model_input, image_latents
-                ], dim=1)
-            latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
-
-            # predict the noise residual
-            unet_out = self.unet(
-                latent_model_input,
-                t,
-                encoder_hidden_states=prompt_embeds,
-                dino_feature=dino_feature,
-                class_labels=image_embeds,
-                cross_attention_kwargs=cross_attention_kwargs,
-                return_dict=False)
-            
-            noise_pred = unet_out[0]
-            if return_elevation_focal:    
-                uncond_pose, pose  = torch.chunk(unet_out[1], 2, 0) 
-                pose = uncond_pose + guidance_scale * (pose - uncond_pose)
-                ele = pose[:, 0].detach().cpu().numpy() # b
-                eles.append(ele)
-                focal = pose[:, 1].detach().cpu().numpy()
-                focals.append(focal)
-                
-            # perform guidance
-            if do_classifier_free_guidance:
-                normal_noise_pred_uncond, normal_noise_pred_text, color_noise_pred_uncond, color_noise_pred_text = torch.chunk(noise_pred, 4, dim=0)
-                
-                noise_pred_uncond, noise_pred_text = torch.cat([normal_noise_pred_uncond, color_noise_pred_uncond], 0), torch.cat([normal_noise_pred_text, color_noise_pred_text], 0)
-                noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
-
-            # compute the previous noisy sample x_t -> x_t-1
-            latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
-
-            if callback is not None and i % callback_steps == 0:
-                callback(i, t, latents)
-
-        # 9. Post-processing
-        if not output_type == "latent":
-            if num_channels_latents == 8:
-                latents = torch.cat([latents[:, :4], latents[:, 4:]], dim=0)
-            with torch.no_grad():
-                image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0]
-        else:
-            image = latents
-
-        image = self.image_processor.postprocess(image, output_type=output_type)
-
-        # Offload last model to CPU
-        # if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
-        #     self.final_offload_hook.offload()
-        if not return_dict:
-            return (image, )
-        if return_elevation_focal:
-            return ImagePipelineOutput(images=image),  eles, focals
-        else:
-            return ImagePipelineOutput(images=image)
diff --git a/sam_pt/sam_vit_h_4b8939.pth b/sam_pt/sam_vit_h_4b8939.pth
deleted file mode 100644
index 8523acce9ddab1cf7e355628a08b1aab8ce08a72..0000000000000000000000000000000000000000
--- a/sam_pt/sam_vit_h_4b8939.pth
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a7bf3b02f3ebf1267aba913ff637d9a2d5c33d3173bb679e46d9f338c26f262e
-size 2564550879
diff --git a/utils/misc.py b/utils/misc.py
deleted file mode 100644
index 03be930ddb5cc522c59af7bb9a7008c278870128..0000000000000000000000000000000000000000
--- a/utils/misc.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import os
-from omegaconf import OmegaConf
-from packaging import version
-
-
-# ============ Register OmegaConf Recolvers ============= #
-OmegaConf.register_new_resolver('calc_exp_lr_decay_rate', lambda factor, n: factor**(1./n))
-OmegaConf.register_new_resolver('add', lambda a, b: a + b)
-OmegaConf.register_new_resolver('sub', lambda a, b: a - b)
-OmegaConf.register_new_resolver('mul', lambda a, b: a * b)
-OmegaConf.register_new_resolver('div', lambda a, b: a / b)
-OmegaConf.register_new_resolver('idiv', lambda a, b: a // b)
-OmegaConf.register_new_resolver('basename', lambda p: os.path.basename(p))
-# ======================================================= #
-
-
-def prompt(question):
-    inp = input(f"{question} (y/n)").lower().strip()
-    if inp and inp == 'y':
-        return True
-    if inp and inp == 'n':
-        return False
-    return prompt(question)
-
-
-def load_config(*yaml_files, cli_args=[]):
-    yaml_confs = [OmegaConf.load(f) for f in yaml_files]
-    cli_conf = OmegaConf.from_cli(cli_args)
-    conf = OmegaConf.merge(*yaml_confs, cli_conf)
-    OmegaConf.resolve(conf)
-    return conf
-
-
-def config_to_primitive(config, resolve=True):
-    return OmegaConf.to_container(config, resolve=resolve)
-
-
-def dump_config(path, config):
-    with open(path, 'w') as fp:
-        OmegaConf.save(config=config, f=fp)
-
-def get_rank():
-    # SLURM_PROCID can be set even if SLURM is not managing the multiprocessing,
-    # therefore LOCAL_RANK needs to be checked first
-    rank_keys = ("RANK", "LOCAL_RANK", "SLURM_PROCID", "JSM_NAMESPACE_RANK")
-    for key in rank_keys:
-        rank = os.environ.get(key)
-        if rank is not None:
-            return int(rank)
-    return 0
-
-
-def parse_version(ver):
-    return version.parse(ver)
diff --git a/utils/utils.py b/utils/utils.py
deleted file mode 100644
index 75250bbdee842aeadd4e0442f25023eae00e6aa3..0000000000000000000000000000000000000000
--- a/utils/utils.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from torchvision.utils import make_grid
-from PIL import Image, ImageDraw, ImageFont
-import numpy as np
-import torch
-def make_grid_(imgs, save_file, nrow=10, pad_value=1):
-    if isinstance(imgs, list):
-        if isinstance(imgs[0], Image.Image):
-            imgs = [torch.from_numpy(np.array(img)/255.) for img in imgs]
-        elif isinstance(imgs[0], np.ndarray):
-            imgs = [torch.from_numpy(img/255.) for img in imgs]
-        imgs = torch.stack(imgs, 0).permute(0, 3, 1, 2)
-    if isinstance(imgs, np.ndarray):
-        imgs = torch.from_numpy(imgs)
-
-    img_grid = make_grid(imgs, nrow=nrow, padding=2, pad_value=pad_value)
-    img_grid = img_grid.permute(1, 2, 0).numpy()
-    img_grid = (img_grid * 255).astype(np.uint8)
-    img_grid = Image.fromarray(img_grid)
-    img_grid.save(save_file) 
-    
-def draw_caption(img, text, pos, size=100, color=(128, 128, 128)):
-    draw = ImageDraw.Draw(img)
-    # font = ImageFont.truetype(size= size)
-    font = ImageFont.load_default()
-    font = font.font_variant(size=size)
-    draw.text(pos, text, color, font=font)
-    return img
\ No newline at end of file
diff --git a/wikipe_cond_1.png b/wikipe_cond_1.png
deleted file mode 100644
index d3ce6c01974f9d7cd5bad1cdb415d09210989c41..0000000000000000000000000000000000000000
Binary files a/wikipe_cond_1.png and /dev/null differ
diff --git a/wikipe_cond_2.png b/wikipe_cond_2.png
deleted file mode 100644
index cd31b61e48e48f402e0ca86ff0ffeece4e86d9f2..0000000000000000000000000000000000000000
Binary files a/wikipe_cond_2.png and /dev/null differ
diff --git a/wikipe_cond_3.png b/wikipe_cond_3.png
deleted file mode 100644
index adfacc41e75646b45ee8e97b096d78bbeaf1d247..0000000000000000000000000000000000000000
Binary files a/wikipe_cond_3.png and /dev/null differ