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spacy
/
fr_core_news_lg

Token Classification
spaCy
French
Eval Results
Model card Files Community
adrianeboyd commited on
Commit
904faac
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1 Parent(s): d996fdb

Update spaCy pipeline

Browse files
Files changed (12) hide show
  1. README.md +28 -28
  2. accuracy.json +158 -158
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +5 -4
  5. fr_core_news_lg-any-py3-none-any.whl +2 -2
  6. meta.json +161 -161
  7. morphologizer/model +1 -1
  8. ner/model +2 -2
  9. parser/model +1 -1
  10. senter/model +1 -1
  11. tok2vec/model +2 -2
  12. tokenizer +2 -2
README.md CHANGED
@@ -14,62 +14,62 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.8411510446
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8413194027
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8412352152
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
- value: 0.9442383014
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
- value: 0.9729952587
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
- value: 0.9678251005
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
- value: 0.9071105631
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
- value: 0.8966076184
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
- value: 0.8581018519
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
- value: 0.8963855422
73
  ---
74
  ### Details: https://spacy.io/models/fr#fr_core_news_lg
75
 
@@ -78,8 +78,8 @@ French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `fr_core_news_lg` |
81
- | **Version** | `3.4.0` |
82
- | **spaCy** | `>=3.4.0,<3.5.0` |
83
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
85
  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
@@ -105,22 +105,22 @@ French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
105
 
106
  | Type | Score |
107
  | --- | --- |
108
- | `TOKEN_ACC` | 99.90 |
109
  | `TOKEN_P` | 98.44 |
110
  | `TOKEN_R` | 98.96 |
111
  | `TOKEN_F` | 98.70 |
112
- | `POS_ACC` | 97.30 |
113
- | `MORPH_ACC` | 96.78 |
114
- | `MORPH_MICRO_P` | 98.89 |
115
- | `MORPH_MICRO_R` | 98.02 |
116
- | `MORPH_MICRO_F` | 98.45 |
117
- | `SENTS_P` | 89.00 |
118
- | `SENTS_R` | 90.29 |
119
- | `SENTS_F` | 89.64 |
120
- | `DEP_UAS` | 89.66 |
121
- | `DEP_LAS` | 85.81 |
122
- | `TAG_ACC` | 94.42 |
123
- | `LEMMA_ACC` | 90.71 |
124
- | `ENTS_P` | 84.12 |
125
- | `ENTS_R` | 84.13 |
126
- | `ENTS_F` | 84.12 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8398572946
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.83869741
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8392769516
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9446562919
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9734102855
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
+ value: 0.9674260386
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.9135840526
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.9028935185
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.8654090962
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.8735083532
73
  ---
74
  ### Details: https://spacy.io/models/fr#fr_core_news_lg
75
 
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `fr_core_news_lg` |
81
+ | **Version** | `3.5.0` |
82
+ | **spaCy** | `>=3.5.0,<3.6.0` |
83
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
85
  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
 
105
 
106
  | Type | Score |
107
  | --- | --- |
108
+ | `TOKEN_ACC` | 99.80 |
109
  | `TOKEN_P` | 98.44 |
110
  | `TOKEN_R` | 98.96 |
111
  | `TOKEN_F` | 98.70 |
112
+ | `POS_ACC` | 97.34 |
113
+ | `MORPH_ACC` | 96.74 |
114
+ | `MORPH_MICRO_P` | 98.91 |
115
+ | `MORPH_MICRO_R` | 98.17 |
116
+ | `MORPH_MICRO_F` | 98.54 |
117
+ | `SENTS_P` | 85.92 |
118
+ | `SENTS_R` | 89.26 |
119
+ | `SENTS_F` | 87.35 |
120
+ | `DEP_UAS` | 90.29 |
121
+ | `DEP_LAS` | 86.54 |
122
+ | `TAG_ACC` | 94.47 |
123
+ | `LEMMA_ACC` | 91.36 |
124
+ | `ENTS_P` | 83.99 |
125
+ | `ENTS_R` | 83.87 |
126
+ | `ENTS_F` | 83.93 |
accuracy.json CHANGED
@@ -1,73 +1,73 @@
1
  {
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- "token_acc": 0.9989751998,
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  "token_p": 0.9844389844,
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  "token_r": 0.9896058454,
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  "token_f": 0.9870156531,
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- "pos_acc": 0.9729952587,
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- "morph_acc": 0.9678251005,
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- "morph_micro_p": 0.9889360133,
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- "morph_micro_r": 0.9801998294,
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- "morph_micro_f": 0.9845485421,
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  "morph_per_feat": {
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  "Definite": {
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- "p": 0.9890029326,
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- "r": 0.9846715328,
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- "f": 0.9868324799
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  },
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  "Number": {
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- "p": 0.9955464836,
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- "r": 0.9876656848,
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- "f": 0.991590426
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  },
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  "PronType": {
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- "p": 0.9961265332,
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- "r": 0.9872040947,
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- "f": 0.9916452442
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  },
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  "Gender": {
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- "p": 0.9855595668,
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- "r": 0.976744186,
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- "f": 0.9811320755
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  },
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  "Mood": {
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- "p": 0.98,
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- "r": 0.9573712256,
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- "f": 0.9685534591
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  },
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  "Person": {
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- "p": 0.9871794872,
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- "r": 0.9685534591,
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- "f": 0.9777777778
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  },
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  "Tense": {
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- "p": 0.97327852,
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  },
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  "VerbForm": {
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- "p": 0.9824854045,
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- "r": 0.9751655629,
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  "NumType": {
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  "p": 1.0,
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- "r": 0.9692832765,
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- "f": 0.9844020797
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  },
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  "Reflex": {
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- "p": 1.0,
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  "r": 1.0,
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- "f": 1.0
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  },
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  "Voice": {
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- "p": 0.9145299145,
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  "r": 0.9553571429,
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- "f": 0.9344978166
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  },
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  "Poss": {
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- "p": 1.0,
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  "r": 1.0,
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- "f": 1.0
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  },
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  "Polarity": {
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  "p": 0.9882352941,
@@ -75,36 +75,36 @@
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  "f": 0.9882352941
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  }
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  },
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- "sents_p": 0.8899521531,
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- "sents_r": 0.9029126214,
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- "sents_f": 0.8963855422,
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- "dep_uas": 0.8966076184,
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- "dep_las": 0.8581018519,
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  "dep_las_per_type": {
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  "det": {
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- "p": 0.9805668016,
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- "r": 0.9774011299,
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- "f": 0.9789814066
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  },
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  "nsubj": {
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- "p": 0.8886198547,
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- "r": 0.8843373494,
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- "f": 0.88647343
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  },
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  "aux:tense": {
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- "p": 0.936,
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- "r": 0.936,
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  "root": {
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  "p": 0.8812785388,
@@ -112,139 +112,139 @@
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  "f": 0.8853211009
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  "case": {
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  "nsubj:pass": {
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  "aux:pass": {
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  "expl:subj": {
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  "expl:comp": {
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  "expl:pass": {
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- "p": 0.25,
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  "r": 0.1428571429,
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- "f": 0.1818181818
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  "ccomp": {
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  "parataxis": {
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  "nsubj:caus": {
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  "p": 0.0,
@@ -277,9 +277,9 @@
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  "f": 0.0
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  },
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  "flat:foreign": {
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  "orphan": {
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  "p": 0.0,
@@ -297,32 +297,32 @@
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  "f": 0.0
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  }
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  },
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- "tag_acc": 0.9442383014,
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- "lemma_acc": 0.9071105631,
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- "ents_p": 0.8411510446,
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  "ents_per_type": {
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  },
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- "speed": 4391.3854054034
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  }
 
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  {
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+ "token_acc": 0.997952498,
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  "token_p": 0.9844389844,
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  "token_r": 0.9896058454,
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  "token_f": 0.9870156531,
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+ "pos_acc": 0.9734102855,
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+ "morph_acc": 0.9674260386,
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+ "morph_micro_r": 0.9816619959,
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+ "morph_micro_f": 0.9853840509,
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  "morph_per_feat": {
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  "Definite": {
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  "Number": {
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  "Gender": {
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  "Mood": {
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  "Person": {
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+ "p": 0.993622449,
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+ "r": 0.9798742138,
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  "Tense": {
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  },
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  "VerbForm": {
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+ "p": 0.9866220736,
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  "NumType": {
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+ "r": 0.9658703072,
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  },
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  "Reflex": {
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  "r": 1.0,
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+ "f": 0.9887640449
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  },
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  "Voice": {
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  },
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  "Poss": {
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  "r": 1.0,
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+ "f": 0.9913043478
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  },
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  "Polarity": {
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  "p": 0.9882352941,
 
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  "f": 0.9882352941
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  }
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  },
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+ "sents_p": 0.8591549296,
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+ "sents_r": 0.8926096998,
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+ "sents_f": 0.8735083532,
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+ "dep_uas": 0.9028935185,
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+ "dep_las": 0.8654090962,
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  "dep_las_per_type": {
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  "det": {
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  },
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  "nsubj": {
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  },
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  "aux:tense": {
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+ "f": 0.96
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