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eubinecto/wisdomifier
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
null |
transformers
|
# Attention in Attention Network for Image Super-Resolution (A2N)
A2N model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Attention in Attention Network for Image Super-Resolution](https://arxiv.org/abs/2104.09497) by Chen et al. (2021) and first released in [this repository](https://github.com/haoyuc/A2N).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling x2 and model upscaling x2.
## Model description
The A2N model proposes an attention in attention network (A2N) for highly accurate image SR. Specifically, the A2N consists of a non-attention branch and a coupling attention branch. Attention dropout module is proposed to generate dynamic attention weights for these two branches based on input features that can suppress unwanted attention adjustments. This allows attention modules to specialize to beneficial examples without otherwise penalties and thus greatly improve the capacity of the attention network with little parameter overhead.
More importantly the model is lightweight and fast to train (~1.5m parameters, ~4mb).
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import A2nModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = A2nModel.from_pretrained('eugenesiow/a2n', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, A2nModel, A2nConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = A2nConfig(
scale=4, # train a model to upscale 4x
)
model = A2nModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |A2N |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**37.87/0.9602** |
|Set5 |3x |30.39/0.8678 |**34.8/0.9387** |
|Set5 |4x |28.42/0.8101 |**32.07/0.8933** |
|Set14 |2x |30.22/0.8683 |**33.45/0.9162** |
|Set14 |3x |27.53/0.7737 |**30.94/0.8568** |
|Set14 |4x |25.99/0.7023 |**28.56/0.7801** |
|BSD100 |2x |29.55/0.8425 |**32.11/0.8987** |
|BSD100 |3x |27.20/0.7382 |**29.56/0.8173** |
|BSD100 |4x |25.96/0.6672 |**27.54/0.7342** |
|Urban100 |2x |26.66/0.8408 |**31.71/0.9240** |
|Urban100 |3x | |**28.95/0.8671** |
|Urban100 |4x |23.14/0.6573 |**25.89/0.7787** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{chen2021attention,
title={Attention in Attention Network for Image Super-Resolution},
author={Haoyu Chen and Jinjin Gu and Zhi Zhang},
year={2021},
eprint={2104.09497},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/a2n
| null |
[
"transformers",
"A2N",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:2104.09497",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null | null |
# AniCharaGAN: Anime Character Generation with StyleGAN2
[](https://github.com/eugenesiow/practical-ml)
This model uses the awesome lucidrains’s [stylegan2-pytorch](https://github.com/lucidrains/stylegan2-pytorch) library to train a model on a private anime character dataset to generate full-body 256x256 female anime characters.
Here are some samples:
## Model description
The model generates 256x256, square, white background, full-body anime characters. It is trained using [stylegan2-pytorch](https://github.com/lucidrains/stylegan2-pytorch). It is trained to 150 epochs.
## Intended uses & limitations
You can use the model for generating anime characters and than use a super resolution library like [super_image](https://github.com/eugenesiow/super-image) to upscale.
### How to use
[](https://colab.research.google.com/github/eugenesiow/practical-ml/blob/master/notebooks/Anime_Character_Generation_with_StyleGAN2.ipynb "Open in Colab")
Install the dependencies:
```bash
pip install -q stylegan2_pytorch==1.5.10
```
Here is how to generate images:
```python
import torch
from torchvision.utils import save_image
from stylegan2_pytorch import ModelLoader
from pathlib import Path
Path('./models/ani-chara-gan/').mkdir(parents=True, exist_ok=True)
torch.hub.download_url_to_file('https://huggingface.co/eugenesiow/ani-chara-gan/resolve/main/model.pt',
'./models/ani-chara-gan/model_150.pt')
torch.hub.download_url_to_file('https://huggingface.co/eugenesiow/ani-chara-gan/resolve/main/.config.json',
'./models/ani-chara-gan/.config.json')
loader = ModelLoader(
base_dir = './', name = 'ani-chara-gan'
)
noise = torch.randn(1, 256).cuda() # noise
styles = loader.noise_to_styles(noise, trunc_psi = 0.7) # pass through mapping network
images = loader.styles_to_images(styles) # call the generator on intermediate style vectors
save_image(images, './sample.jpg')
```
## BibTeX entry and citation info
The model is part of the [practical-ml](https://github.com/eugenesiow/practical-ml) repository.
[](https://github.com/eugenesiow/practical-ml)
|
{"license": "apache-2.0", "tags": ["stylegan2", "image-generation"]}
|
eugenesiow/ani-chara-gan
| null |
[
"stylegan2",
"image-generation",
"license:apache-2.0",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Lightweight Image Super-Resolution with Adaptive Weighted Learning Network (AWSRN)
AWSRN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Lightweight Image Super-Resolution with Adaptive Weighted Learning Network](https://arxiv.org/abs/1904.02358) by Wang et al. (2019) and first released in [this repository](https://github.com/ChaofWang/AWSRN).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
Deep learning has been successfully applied to the single-image super-resolution (SISR) task with great performance in recent years. However, most convolutional neural network based SR models require heavy computation, which limit their real-world applications. In this work, a lightweight SR network, named Adaptive Weighted Super-Resolution Network (AWSRN), is proposed for SISR to address this issue. A novel local fusion block (LFB) is designed in AWSRN for efficient residual learning, which consists of stacked adaptive weighted residual units (AWRU) and a local residual fusion unit (LRFU). Moreover, an adaptive weighted multi-scale (AWMS) module is proposed to make full use of features in reconstruction layer. AWMS consists of several different scale convolutions, and the redundancy scale branch can be removed according to the contribution of adaptive weights in AWMS for lightweight network. The experimental results on the commonly used datasets show that the proposed lightweight AWSRN achieves superior performance on ×2, ×3, ×4, and ×8 scale factors to state-of-the-art methods with similar parameters and computational overhead.
This model also applies the balanced attention (BAM) method invented by [Wang et al. (2021)](https://arxiv.org/abs/2104.07566) to further improve the results.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import AwsrnModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = AwsrnModel.from_pretrained('eugenesiow/awsrn-bam', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, AwsrnModel, AwsrnConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = AwsrnConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = AwsrnModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |awsrn-bam |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**37.99/0.9606** |
|Set5 |3x |30.39/0.8678 |**35.05/0.9403** |
|Set5 |4x |28.42/0.8101 |**32.13/0.8947** |
|Set14 |2x |30.22/0.8683 |**33.66/0.918** |
|Set14 |3x |27.53/0.7737 |**31.01/0.8581** |
|Set14 |4x |25.99/0.7023 |**28.75/0.7851** |
|BSD100 |2x |29.55/0.8425 |**33.76/0.9253** |
|BSD100 |3x |27.20/0.7382 |**29.63/0.8188** |
|BSD100 |4x |25.96/0.6672 |**28.51/0.7647** |
|Urban100 |2x |26.66/0.8408 |**31.95/0.9265** |
|Urban100 |3x | |**29.14/0.871** |
|Urban100 |4x |23.14/0.6573 |**26.03/0.7838** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{wang2021bam,
title={BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution},
author={Fanyi Wang and Haotian Hu and Cheng Shen},
year={2021},
eprint={2104.07566},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
```bibtex
@article{wang2019lightweight,
title={Lightweight Image Super-Resolution with Adaptive Weighted Learning Network},
author={Wang, Chaofeng and Li, Zhen and Shi, Jun},
journal={arXiv preprint arXiv:1904.02358},
year={2019
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/awsrn-bam
| null |
[
"transformers",
"AWSRN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1904.02358",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null | null |
{}
|
eugenesiow/awsrn
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
text2text-generation
|
transformers
|
# BART Paraphrase Model (Large)
A large BART seq2seq (text2text generation) model fine-tuned on 3 paraphrase datasets.
## Model description
The BART model was proposed in [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://arxiv.org/abs/1910.13461) by Lewis et al. (2019).
- Bart uses a standard seq2seq/machine translation architecture with a bidirectional encoder (like BERT) and a left-to-right decoder (like GPT).
- The pretraining task involves randomly shuffling the order of the original sentences and a novel in-filling scheme, where spans of text are replaced with a single mask token.
- BART is particularly effective when fine tuned for text generation. This model is fine-tuned on 3 paraphrase datasets (Quora, PAWS and MSR paraphrase corpus).
The original BART code is from this [repository](https://github.com/pytorch/fairseq/tree/master/examples/bart).
## Intended uses & limitations
You can use the pre-trained model for paraphrasing an input sentence.
### How to use
```python
import torch
from transformers import BartForConditionalGeneration, BartTokenizer
input_sentence = "They were there to enjoy us and they were there to pray for us."
model = BartForConditionalGeneration.from_pretrained('eugenesiow/bart-paraphrase')
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = model.to(device)
tokenizer = BartTokenizer.from_pretrained('eugenesiow/bart-paraphrase')
batch = tokenizer(input_sentence, return_tensors='pt')
generated_ids = model.generate(batch['input_ids'])
generated_sentence = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
print(generated_sentence)
```
### Output
```
['They were there to enjoy us and to pray for us.']
```
## Training data
The model was fine-tuned on a pretrained [`facebook/bart-large`](https://huggingface.co/facebook/bart-large), using the [Quora](https://huggingface.co/datasets/quora), [PAWS](https://huggingface.co/datasets/paws) and [MSR paraphrase corpus](https://www.microsoft.com/en-us/download/details.aspx?id=52398).
## Training procedure
We follow the training procedure provided in the [simpletransformers](https://github.com/ThilinaRajapakse/simpletransformers) seq2seq [example](https://github.com/ThilinaRajapakse/simpletransformers/blob/master/examples/seq2seq/paraphrasing/train.py).
## BibTeX entry and citation info
```bibtex
@misc{lewis2019bart,
title={BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension},
author={Mike Lewis and Yinhan Liu and Naman Goyal and Marjan Ghazvininejad and Abdelrahman Mohamed and Omer Levy and Ves Stoyanov and Luke Zettlemoyer},
year={2019},
eprint={1910.13461},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
|
{"language": "en", "license": "apache-2.0", "tags": ["transformers", "bart", "paraphrase", "seq2seq"], "datasets": ["quora", "paws"]}
|
eugenesiow/bart-paraphrase
| null |
[
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"paraphrase",
"seq2seq",
"en",
"dataset:quora",
"dataset:paws",
"arxiv:1910.13461",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Cascading Residual Network (CARN)
CARN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network](https://arxiv.org/abs/1803.08664) by Ahn et al. (2018) and first released in [this repository](https://github.com/nmhkahn/CARN-pytorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
The CARN model proposes an architecture that implements a cascading mechanism upon a residual network for accurate and lightweight image super-resolution.
This model also applies the balanced attention (BAM) method invented by [Wang et al. (2021)](https://arxiv.org/abs/2104.07566) to further improve the results.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import CarnModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = CarnModel.from_pretrained('eugenesiow/carn-bam', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, CarnModel, CarnConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = CarnConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = CarnModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |carn-bam |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**37.83/0.96** |
|Set5 |3x |30.39/0.8678 |**34.82/0.9385** |
|Set5 |4x |28.42/0.8101 |**32.0/0.8923** |
|Set14 |2x |30.22/0.8683 |**33.51/0.9166** |
|Set14 |3x |27.53/0.7737 |**30.9/0.8558** |
|Set14 |4x |25.99/0.7023 |**28.62/0.7822** |
|BSD100 |2x |29.55/0.8425 |**33.64/0.924** |
|BSD100 |3x |27.20/0.7382 |**29.54/0.8166** |
|BSD100 |4x |25.96/0.6672 |**28.41/0.7614** |
|Urban100 |2x |26.66/0.8408 |**31.53/0.922** |
|Urban100 |3x | |**28.84/0.8648** |
|Urban100 |4x |23.14/0.6573 |**25.77/0.7741** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{wang2021bam,
title={BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution},
author={Fanyi Wang and Haotian Hu and Cheng Shen},
year={2021},
eprint={2104.07566},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
```bibtex
@article{ahn2018fast,
title={Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network},
author={Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah},
journal={arXiv preprint arXiv:1803.08664},
year={2018}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/carn-bam
| null |
[
"transformers",
"CARN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1803.08664",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Cascading Residual Network (CARN)
CARN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network](https://arxiv.org/abs/1803.08664) by Ahn et al. (2018) and first released in [this repository](https://github.com/nmhkahn/CARN-pytorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
The CARN model proposes an architecture that implements a cascading mechanism upon a residual network for accurate and lightweight image super-resolution.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import CarnModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = CarnModel.from_pretrained('eugenesiow/carn', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, CarnModel, CarnConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = CarnConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = CarnModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |carn |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**37.89/0.9602** |
|Set5 |3x |30.39/0.8678 |**34.88/0.9391** |
|Set5 |4x |28.42/0.8101 |**32.05/0.8931** |
|Set14 |2x |30.22/0.8683 |**33.53/0.9173** |
|Set14 |3x |27.53/0.7737 |**30.93/0.8566** |
|Set14 |4x |25.99/0.7023 |**28.67/0.7828** |
|BSD100 |2x |29.55/0.8425 |**33.66/0.9242** |
|BSD100 |3x |27.20/0.7382 |**29.56/0.8173** |
|BSD100 |4x |25.96/0.6672 |**28.44/0.7625** |
|Urban100 |2x |26.66/0.8408 |**31.62/0.9229** |
|Urban100 |3x | |**28.95/0.867** |
|Urban100 |4x |23.14/0.6573 |**25.85/0.7768** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@article{ahn2018fast,
title={Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network},
author={Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah},
journal={arXiv preprint arXiv:1803.08664},
year={2018}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/carn
| null |
[
"transformers",
"CARN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1803.08664",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Densely Residual Laplacian Super-Resolution (DRLN)
DRLN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Densely Residual Laplacian Super-resolution](https://arxiv.org/abs/1906.12021) by Anwar et al. (2020) and first released in [this repository](https://github.com/saeed-anwar/DRLN).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
Super-Resolution convolutional neural networks have recently demonstrated high-quality restoration for single images. However, existing algorithms often require very deep architectures and long training times. Furthermore, current convolutional neural networks for super-resolution are unable to exploit features at multiple scales and weigh them equally, limiting their learning capability. In this exposition, we present a compact and accurate super-resolution algorithm namely, Densely Residual Laplacian Network (DRLN). The proposed network employs cascading residual on the residual structure to allow the flow of low-frequency information to focus on learning high and mid-level features. In addition, deep supervision is achieved via the densely concatenated residual blocks settings, which also helps in learning from high-level complex features. Moreover, we propose Laplacian attention to model the crucial features to learn the inter and intra-level dependencies between the feature maps. Furthermore, comprehensive quantitative and qualitative evaluations on low-resolution, noisy low-resolution, and real historical image benchmark datasets illustrate that our DRLN algorithm performs favorably against the state-of-the-art methods visually and accurately.
This model also applies the balanced attention (BAM) method invented by [Wang et al. (2021)](https://arxiv.org/abs/2104.07566) to further improve the results.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import DrlnModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = DrlnModel.from_pretrained('eugenesiow/drln-bam', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, DrlnModel, DrlnConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = DrlnConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = DrlnModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |drln-bam |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38.23/0.9614** |
|Set5 |3x |30.39/0.8678 |**35.3/0.9422** |
|Set5 |4x |28.42/0.8101 |**32.49/0.8986** |
|Set14 |2x |30.22/0.8683 |**33.95/0.9206** |
|Set14 |3x |27.53/0.7737 |**31.27/0.8624** |
|Set14 |4x |25.99/0.7023 |**28.94/0.7899** |
|BSD100 |2x |29.55/0.8425 |**33.95/0.9269** |
|BSD100 |3x |27.20/0.7382 |**29.78/0.8224** |
|BSD100 |4x |25.96/0.6672 |**28.63/0.7686** |
|Urban100 |2x |26.66/0.8408 |**32.81/0.9339** |
|Urban100 |3x | |**29.82/0.8828** |
|Urban100 |4x |23.14/0.6573 |**26.53/0.7991** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{wang2021bam,
title={BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution},
author={Fanyi Wang and Haotian Hu and Cheng Shen},
year={2021},
eprint={2104.07566},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
```bibtex
@misc{anwar2019densely,
title={Densely Residual Laplacian Super-Resolution},
author={Saeed Anwar and Nick Barnes},
year={2019},
eprint={1906.12021},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/drln-bam
| null |
[
"transformers",
"DRLN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1906.12021",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Densely Residual Laplacian Super-Resolution (DRLN)
DRLN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Densely Residual Laplacian Super-resolution](https://arxiv.org/abs/1906.12021) by Anwar et al. (2020) and first released in [this repository](https://github.com/saeed-anwar/DRLN).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
Super-Resolution convolutional neural networks have recently demonstrated high-quality restoration for single images. However, existing algorithms often require very deep architectures and long training times. Furthermore, current convolutional neural networks for super-resolution are unable to exploit features at multiple scales and weigh them equally, limiting their learning capability. In this exposition, we present a compact and accurate super-resolution algorithm namely, Densely Residual Laplacian Network (DRLN). The proposed network employs cascading residual on the residual structure to allow the flow of low-frequency information to focus on learning high and mid-level features. In addition, deep supervision is achieved via the densely concatenated residual blocks settings, which also helps in learning from high-level complex features. Moreover, we propose Laplacian attention to model the crucial features to learn the inter and intra-level dependencies between the feature maps. Furthermore, comprehensive quantitative and qualitative evaluations on low-resolution, noisy low-resolution, and real historical image benchmark datasets illustrate that our DRLN algorithm performs favorably against the state-of-the-art methods visually and accurately.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import DrlnModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = DrlnModel.from_pretrained('eugenesiow/drln', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, DrlnModel, DrlnConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = DrlnConfig(
scale=4, # train a model to upscale 4x
)
model = DrlnModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |drln |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38.22/0.9614** |
|Set5 |3x |30.39/0.8678 |**35.31/0.9423** |
|Set5 |4x |28.42/0.8101 |**32.55/0.899** |
|Set14 |2x |30.22/0.8683 |**34.01/0.9211** |
|Set14 |3x |27.53/0.7737 |**31.21/0.8619** |
|Set14 |4x |25.99/0.7023 |**28.96/0.7901** |
|BSD100 |2x |29.55/0.8425 |**33.93/0.9269** |
|BSD100 |3x |27.20/0.7382 |**29.77/0.8223** |
|BSD100 |4x |25.96/0.6672 |**28.65/0.7692** |
|Urban100 |2x |26.66/0.8408 |**32.82/0.934** |
|Urban100 |3x | |**29.79/0.8825** |
|Urban100 |4x |23.14/0.6573 |**26.56/0.7998** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{anwar2019densely,
title={Densely Residual Laplacian Super-Resolution},
author={Saeed Anwar and Nick Barnes},
year={2019},
eprint={1906.12021},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/drln
| null |
[
"transformers",
"DRLN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1906.12021",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR)
EDSR model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Enhanced Deep Residual Networks for Single Image Super-Resolution](https://arxiv.org/abs/1707.02921) by Lim et al. (2017) and first released in [this repository](https://github.com/sanghyun-son/EDSR-PyTorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling x2 and EDSR upscaling x2.
## Model description
EDSR is a model that uses both deeper and wider architecture (32 ResBlocks and 256 channels) to improve performance. It uses both global and local skip connections, and up-scaling is done at the end of the network. It doesn't use batch normalization layers (input and output have similar distributions, normalizing intermediate features may not be desirable) instead it uses constant scaling layers to ensure stable training. An L1 loss function (absolute error) is used instead of L2 (MSE), the authors showed better performance empirically and it requires less computation.
This is a base model (~5mb vs ~100mb) that includes just 16 ResBlocks and 64 channels.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import EdsrModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, EdsrModel, EdsrConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = EdsrConfig(
scale=4, # train a model to upscale 4x
)
model = EdsrModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |edsr-base |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38.02/0.9607** |
|Set5 |3x |30.39/0.8678 |**35.04/0.9403** |
|Set5 |4x |28.42/0.8101 |**32.12/0.8947** |
|Set14 |2x |30.22/0.8683 |**33.57/0.9172** |
|Set14 |3x |27.53/0.7737 |**30.93/0.8567** |
|Set14 |4x |25.99/0.7023 |**28.60/0.7815** |
|BSD100 |2x |29.55/0.8425 |**32.21/0.8999** |
|BSD100 |3x |27.20/0.7382 |**29.65/0.8204** |
|BSD100 |4x |25.96/0.6672 |**27.61/0.7363** |
|Urban100 |2x |26.66/0.8408 |**32.04/0.9276** |
|Urban100 |3x | |**29.23/0.8723** |
|Urban100 |4x |23.14/0.6573 |**26.02/0.7832** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@InProceedings{Lim_2017_CVPR_Workshops,
author = {Lim, Bee and Son, Sanghyun and Kim, Heewon and Nah, Seungjun and Lee, Kyoung Mu},
title = {Enhanced Deep Residual Networks for Single Image Super-Resolution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/edsr-base
| null |
[
"transformers",
"EDSR",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1707.02921",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR)
EDSR model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Enhanced Deep Residual Networks for Single Image Super-Resolution](https://arxiv.org/abs/1707.02921) by Lim et al. (2017) and first released in [this repository](https://github.com/sanghyun-son/EDSR-PyTorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling x2 and EDSR upscaling x2.
## Model description
EDSR is a model that uses both deeper and wider architecture (32 ResBlocks and 256 channels) to improve performance. It uses both global and local skip connections, and up-scaling is done at the end of the network. It doesn't use batch normalization layers (input and output have similar distributions, normalizing intermediate features may not be desirable) instead it uses constant scaling layers to ensure stable training. An L1 loss function (absolute error) is used instead of L2 (MSE), the authors showed better performance empirically and it requires less computation.
This is a base model (~5mb vs ~100mb) that includes just 16 ResBlocks and 64 channels.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import EdsrModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = EdsrModel.from_pretrained('eugenesiow/edsr', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, EdsrModel, EdsrConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = EdsrConfig(
scale=4, # train a model to upscale 4x
)
model = EdsrModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |edsr |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38.19/0.9612** |
|Set5 |3x |30.39/0.8678 |**35.31/0.9421** |
|Set5 |4x |28.42/0.8101 |**32.5/0.8986** |
|Set14 |2x |30.22/0.8683 |**33.99/0.9215** |
|Set14 |3x |27.53/0.7737 |**31.18/0.862** |
|Set14 |4x |25.99/0.7023 |**28.92/0.7899** |
|BSD100 |2x |29.55/0.8425 |**33.89/0.9266** |
|BSD100 |3x |27.20/0.7382 |**29.77/0.8224** |
|BSD100 |4x |25.96/0.6672 |**28.62/0.7689** |
|Urban100 |2x |26.66/0.8408 |**32.68/0.9331** |
|Urban100 |3x | |**29.75/0.8825** |
|Urban100 |4x |23.14/0.6573 |**26.53/0.7995** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@InProceedings{Lim_2017_CVPR_Workshops,
author = {Lim, Bee and Son, Sanghyun and Kim, Heewon and Nah, Seungjun and Lee, Kyoung Mu},
title = {Enhanced Deep Residual Networks for Single Image Super-Resolution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/edsr
| null |
[
"transformers",
"EDSR",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1707.02921",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Holistic Attention Network (HAN)
HAN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Single Image Super-Resolution via a Holistic Attention Network](https://arxiv.org/abs/2008.08767) by Niu et al. (2020) and first released in [this repository](https://github.com/wwlCape/HAN).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
Informative features play a crucial role in the single image super-resolution task. Channel attention has been demonstrated to be effective for preserving information-rich features in each layer. However, channel attention treats each convolution layer as a separate process that misses the correlation among different layers. To address this problem, we propose a new holistic attention network (HAN), which consists of a layer attention module (LAM) and a channel-spatial attention module (CSAM), to model the holistic interdependencies among layers, channels, and positions. Specifically, the proposed LAM adaptively emphasizes hierarchical features by considering correlations among layers. Meanwhile, CSAM learns the confidence at all the positions of each channel to selectively capture more informative features. Extensive experiments demonstrate that the proposed HAN performs favorably against the state-of-the-art single image super- resolution approaches.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import HanModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = HanModel.from_pretrained('eugenesiow/han', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, HanModel, HanConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = HanConfig(
scale=4, # train a model to upscale 4x
)
model = HanModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |han |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**** |
|Set5 |3x |30.39/0.8678 |**** |
|Set5 |4x |28.42/0.8101 |**31.21/0.8778** |
|Set14 |2x |30.22/0.8683 |**** |
|Set14 |3x |27.53/0.7737 |**** |
|Set14 |4x |25.99/0.7023 |**28.18/0.7712** |
|BSD100 |2x |29.55/0.8425 |**** |
|BSD100 |3x |27.20/0.7382 |**** |
|BSD100 |4x |25.96/0.6672 |**28.09/0.7533** |
|Urban100 |2x |26.66/0.8408 |**** |
|Urban100 |3x | |**** |
|Urban100 |4x |23.14/0.6573 |**25.1/0.7497** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{niu2020single,
title={Single Image Super-Resolution via a Holistic Attention Network},
author={Ben Niu and Weilei Wen and Wenqi Ren and Xiangde Zhang and Lianping Yang and Shuzhen Wang and Kaihao Zhang and Xiaochun Cao and Haifeng Shen},
year={2020},
eprint={2008.08767},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/han
| null |
[
"transformers",
"HAN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:2008.08767",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Multi-Scale Deep Super-Resolution System (MDSR)
MDSR model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Enhanced Deep Residual Networks for Single Image Super-Resolution](https://arxiv.org/abs/1707.02921) by Lim et al. (2017) and first released in [this repository](https://github.com/sanghyun-son/EDSR-PyTorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
The MDSR is a model that uses both deeper and wider architecture (32 ResBlocks and 256 channels) to improve performance. It uses both global and local skip connections, and up-scaling is done at the end of the network. It doesn't use batch normalization layers (input and output have similar distributions, normalizing intermediate features may not be desirable) instead it uses constant scaling layers to ensure stable training. An L1 loss function (absolute error) is used instead of L2 (MSE), the authors showed better performance empirically and it requires less computation.
This model also applies the balanced attention (BAM) method invented by [Wang et al. (2021)](https://arxiv.org/abs/2104.07566) to further improve the results.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import MdsrModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = MdsrModel.from_pretrained('eugenesiow/mdsr-bam', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, MdsrModel, MdsrConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = MdsrConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = MdsrModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |mdsr-bam |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38/0.9607** |
|Set5 |3x |30.39/0.8678 |**35.07/0.9402** |
|Set5 |4x |28.42/0.8101 |**32.19/0.8949** |
|Set14 |2x |30.22/0.8683 |**33.68/0.9182** |
|Set14 |3x |27.53/0.7737 |**31.04/0.8582** |
|Set14 |4x |25.99/0.7023 |**28.73/0.7847** |
|BSD100 |2x |29.55/0.8425 |**33.77/0.9253** |
|BSD100 |3x |27.20/0.7382 |**29.62/0.8188** |
|BSD100 |4x |25.96/0.6672 |**28.5/0.7645** |
|Urban100 |2x |26.66/0.8408 |**32.04/0.9272** |
|Urban100 |3x | |**29.16/0.8717** |
|Urban100 |4x |23.14/0.6573 |**26.02/0.7834** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{wang2021bam,
title={BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution},
author={Fanyi Wang and Haotian Hu and Cheng Shen},
year={2021},
eprint={2104.07566},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
```bibtex
@article{ahn2018fast,
title={Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network},
author={Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah},
journal={arXiv preprint arXiv:1803.08664},
year={2018}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/mdsr-bam
| null |
[
"transformers",
"MDSR",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1707.02921",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Multi-Scale Deep Super-Resolution System (MDSR)
MDSR model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Enhanced Deep Residual Networks for Single Image Super-Resolution](https://arxiv.org/abs/1707.02921) by Lim et al. (2017) and first released in [this repository](https://github.com/sanghyun-son/EDSR-PyTorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
The MDSR is a model that uses both deeper and wider architecture (32 ResBlocks and 256 channels) to improve performance. It uses both global and local skip connections, and up-scaling is done at the end of the network. It doesn't use batch normalization layers (input and output have similar distributions, normalizing intermediate features may not be desirable) instead it uses constant scaling layers to ensure stable training. An L1 loss function (absolute error) is used instead of L2 (MSE), the authors showed better performance empirically and it requires less computation.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import MdsrModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = MdsrModel.from_pretrained('eugenesiow/mdsr', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, MdsrModel, MdsrConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = MdsrConfig(
scale=4, # train a model to upscale 4x
)
model = MdsrModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |mdsr |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38.04/0.9608** |
|Set5 |3x |30.39/0.8678 |**35.11/0.9406** |
|Set5 |4x |28.42/0.8101 |**32.26/0.8953** |
|Set14 |2x |30.22/0.8683 |**33.71/0.9184** |
|Set14 |3x |27.53/0.7737 |**31.06/0.8593** |
|Set14 |4x |25.99/0.7023 |**28.77/0.7856** |
|BSD100 |2x |29.55/0.8425 |**33.79/0.9256** |
|BSD100 |3x |27.20/0.7382 |**29.66/0.8196** |
|BSD100 |4x |25.96/0.6672 |**28.53/0.7653** |
|Urban100 |2x |26.66/0.8408 |**32.14/0.9283** |
|Urban100 |3x | |**29.29/0.8738** |
|Urban100 |4x |23.14/0.6573 |**26.07/0.7851** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@article{ahn2018fast,
title={Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network},
author={Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah},
journal={arXiv preprint arXiv:1803.08664},
year={2018}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/mdsr
| null |
[
"transformers",
"MDSR",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1707.02921",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Multi-scale Residual Network for Image Super-Resolution (MSRN)
MSRN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Multi-scale Residual Network for Image Super-Resolution](https://openaccess.thecvf.com/content_ECCV_2018/html/Juncheng_Li_Multi-scale_Residual_Network_ECCV_2018_paper.html) by Li et al. (2018) and first released in [this repository](https://github.com/MIVRC/MSRN-PyTorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling x2 and model upscaling x2.
## Model description
The MSRN model proposes a feature extraction structure called the multi-scale residual block. This module can "adaptively detect image features at different scales" and "exploit the potential features of the image".
This model also applies the balanced attention (BAM) method invented by [Wang et al. (2021)](https://arxiv.org/abs/2104.07566) to further improve the results.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import MsrnModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = MsrnModel.from_pretrained('eugenesiow/msrn-bam', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, MsrnModel, MsrnConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = MsrnConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = MsrnModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |msrn-bam |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38.02/0.9608** |
|Set5 |3x |30.39/0.8678 |**35.13/0.9408** |
|Set5 |4x |28.42/0.8101 |**32.26/0.8955** |
|Set14 |2x |30.22/0.8683 |**33.73/0.9186** |
|Set14 |3x |27.53/0.7737 |**31.06/0.8588** |
|Set14 |4x |25.99/0.7023 |**28.78/0.7859** |
|BSD100 |2x |29.55/0.8425 |**33.78/0.9253** |
|BSD100 |3x |27.20/0.7382 |**29.65/0.8196** |
|BSD100 |4x |25.96/0.6672 |**28.51/0.7651** |
|Urban100 |2x |26.66/0.8408 |**32.08/0.9276** |
|Urban100 |3x | |**29.26/0.8736** |
|Urban100 |4x |23.14/0.6573 |**26.10/0.7857** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{wang2021bam,
title={BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution},
author={Fanyi Wang and Haotian Hu and Cheng Shen},
year={2021},
eprint={2104.07566},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
```bibtex
@InProceedings{Li_2018_ECCV,
author = {Li, Juncheng and Fang, Faming and Mei, Kangfu and Zhang, Guixu},
title = {Multi-scale Residual Network for Image Super-Resolution},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/msrn-bam
| null |
[
"transformers",
"MSRN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Multi-scale Residual Network for Image Super-Resolution (MSRN)
MSRN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Multi-scale Residual Network for Image Super-Resolution](https://openaccess.thecvf.com/content_ECCV_2018/html/Juncheng_Li_Multi-scale_Residual_Network_ECCV_2018_paper.html) by Li et al. (2018) and first released in [this repository](https://github.com/MIVRC/MSRN-PyTorch).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling x2 and model upscaling x2.
## Model description
The MSRN model proposes a feature extraction structure called the multi-scale residual block. This module can "adaptively detect image features at different scales" and "exploit the potential features of the image".
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import MsrnModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = MsrnModel.from_pretrained('eugenesiow/msrn', scale=4) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_4x.png') # save the output 4x scaled image to `./scaled_4x.png`
ImageLoader.save_compare(inputs, preds, './scaled_4x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, MsrnModel, MsrnConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = MsrnConfig(
scale=4, # train a model to upscale 4x
)
model = MsrnModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |msrn |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**38.08/0.9609** |
|Set5 |3x |30.39/0.8678 |**35.12/0.9409** |
|Set5 |4x |28.42/0.8101 |**32.19/0.8951** |
|Set14 |2x |30.22/0.8683 |**33.75/0.9183** |
|Set14 |3x |27.53/0.7737 |**31.08/0.8593** |
|Set14 |4x |25.99/0.7023 |**28.78/0.7862** |
|BSD100 |2x |29.55/0.8425 |**33.82/0.9258** |
|BSD100 |3x |27.20/0.7382 |**29.67/0.8198** |
|BSD100 |4x |25.96/0.6672 |**28.53/0.7657** |
|Urban100 |2x |26.66/0.8408 |**32.14/0.9287** |
|Urban100 |3x | |**29.31/0.8743** |
|Urban100 |4x |23.14/0.6573 |**26.12/0.7866** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@InProceedings{Agustsson_2017_CVPR_Workshops,
author = {Agustsson, Eirikur and Timofte, Radu},
title = {NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
url = "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-CVPRW-2017.pdf",
month = {July},
year = {2017}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/msrn
| null |
[
"transformers",
"MSRN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Pixel Attention Network (PAN)
PAN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Efficient Image Super-Resolution Using Pixel Attention](https://arxiv.org/abs/2010.01073) by Zhao et al. (2020) and first released in [this repository](https://github.com/zhaohengyuan1/PAN).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
The PAN model proposes a a lightweight convolutional neural network for image super resolution. Pixel attention (PA) is similar to channel attention and spatial attention in formulation. PA however produces 3D attention maps instead of a 1D attention vector or a 2D map. This attention scheme introduces fewer additional parameters but generates better SR results.
This model also applies the balanced attention (BAM) method invented by [Wang et al. (2021)](https://arxiv.org/abs/2104.07566) to further improve the results.
The model is very lightweight with the model being just 260k to 270k parameters (~1mb).
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import PanModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = PanModel.from_pretrained('eugenesiow/pan-bam', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, PanModel, PanConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = PanConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = PanModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |pan-bam |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**37.7/0.9596** |
|Set5 |3x |30.39/0.8678 |**34.62/0.9371** |
|Set5 |4x |28.42/0.8101 |**31.9/0.8911** |
|Set14 |2x |30.22/0.8683 |**33.4/0.9161** |
|Set14 |3x |27.53/0.7737 |**30.83/0.8545** |
|Set14 |4x |25.99/0.7023 |**28.54/0.7795** |
|BSD100 |2x |29.55/0.8425 |**33.6/0.9234** |
|BSD100 |3x |27.20/0.7382 |**29.47/0.8153** |
|BSD100 |4x |25.96/0.6672 |**28.32/0.7591** |
|Urban100 |2x |26.66/0.8408 |**31.35/0.92** |
|Urban100 |3x | |**28.64/0.861** |
|Urban100 |4x |23.14/0.6573 |**25.6/0.7691** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{wang2021bam,
title={BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution},
author={Fanyi Wang and Haotian Hu and Cheng Shen},
year={2021},
eprint={2104.07566},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
```bibtex
@misc{zhao2020efficient,
title={Efficient Image Super-Resolution Using Pixel Attention},
author={Hengyuan Zhao and Xiangtao Kong and Jingwen He and Yu Qiao and Chao Dong},
year={2020},
eprint={2010.01073},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/pan-bam
| null |
[
"transformers",
"PAN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:2010.01073",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Pixel Attention Network (PAN)
PAN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Efficient Image Super-Resolution Using Pixel Attention](https://arxiv.org/abs/2010.01073) by Zhao et al. (2020) and first released in [this repository](https://github.com/zhaohengyuan1/PAN).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
The PAN model proposes a a lightweight convolutional neural network for image super resolution. Pixel attention (PA) is similar to channel attention and spatial attention in formulation. PA however produces 3D attention maps instead of a 1D attention vector or a 2D map. This attention scheme introduces fewer additional parameters but generates better SR results.
The model is very lightweight with the model being just 260k to 270k parameters (~1mb).
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import PanModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = PanModel.from_pretrained('eugenesiow/pan', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, PanModel, PanConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = PanConfig(
scale=4, # train a model to upscale 4x
)
model = PanModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |pan |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**37.77/0.9599** |
|Set5 |3x |30.39/0.8678 |**34.64/0.9376** |
|Set5 |4x |28.42/0.8101 |**31.92/0.8915** |
|Set14 |2x |30.22/0.8683 |**33.42/0.9162** |
|Set14 |3x |27.53/0.7737 |**30.8/0.8544** |
|Set14 |4x |25.99/0.7023 |**28.57/0.7802** |
|BSD100 |2x |29.55/0.8425 |**33.6/0.9235** |
|BSD100 |3x |27.20/0.7382 |**29.47/0.815** |
|BSD100 |4x |25.96/0.6672 |**28.35/0.7595** |
|Urban100 |2x |26.66/0.8408 |**31.31/0.9197** |
|Urban100 |3x | |**28.61/0.8603** |
|Urban100 |4x |23.14/0.6573 |**25.63/0.7692** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{zhao2020efficient,
title={Efficient Image Super-Resolution Using Pixel Attention},
author={Hengyuan Zhao and Xiangtao Kong and Jingwen He and Yu Qiao and Chao Dong},
year={2020},
eprint={2010.01073},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/pan
| null |
[
"transformers",
"PAN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:2010.01073",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
# Residual Channel Attention Networks (RCAN)
RCAN model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper [Image Super-Resolution Using Very Deep Residual Channel Attention Networks](https://arxiv.org/abs/1807.02758) by Zhang et al. (2018) and first released in [this repository](https://github.com/yulunzhang/RCAN).
The goal of image super resolution is to restore a high resolution (HR) image from a single low resolution (LR) image. The image below shows the ground truth (HR), the bicubic upscaling and model upscaling.
## Model description
Convolutional neural network (CNN) depth is of crucial importance for image super-resolution (SR). However, we observe that deeper networks for image SR are more difficult to train. The low-resolution inputs and features contain abundant low-frequency information, which is treated equally across channels, hence hindering the representational ability of CNNs. To solve these problems, we propose the very deep residual channel attention networks (RCAN). Specifically, we propose a residual in residual (RIR) structure to form very deep network, which consists of several residual groups with long skip connections. Each residual group contains some residual blocks with short skip connections. Meanwhile, RIR allows abundant low-frequency information to be bypassed through multiple skip connections, making the main network focus on learning high-frequency information. Furthermore, we propose a channel attention mechanism to adaptively rescale channel-wise features by considering interdependencies among channels. Extensive experiments show that our RCAN achieves better accuracy and visual improvements against state-of-the-art methods.
This model also applies the balanced attention (BAM) method invented by [Wang et al. (2021)](https://arxiv.org/abs/2104.07566) to further improve the results.
## Intended uses & limitations
You can use the pre-trained models for upscaling your images 2x, 3x and 4x. You can also use the trainer to train a model on your own dataset.
### How to use
The model can be used with the [super_image](https://github.com/eugenesiow/super-image) library:
```bash
pip install super-image
```
Here is how to use a pre-trained model to upscale your image:
```python
from super_image import RcanModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = RcanModel.from_pretrained('eugenesiow/rcan-bam', scale=2) # scale 2, 3 and 4 models available
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png') # save the output 2x scaled image to `./scaled_2x.png`
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png') # save an output comparing the super-image with a bicubic scaling
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Upscale_Images_with_Pretrained_super_image_Models.ipynb "Open in Colab")
## Training data
The models for 2x, 3x and 4x image super resolution were pretrained on [DIV2K](https://huggingface.co/datasets/eugenesiow/Div2k), a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images numbered 801 to 900).
## Training procedure
### Preprocessing
We follow the pre-processing and training method of [Wang et al.](https://arxiv.org/abs/2104.07566).
Low Resolution (LR) images are created by using bicubic interpolation as the resizing method to reduce the size of the High Resolution (HR) images by x2, x3 and x4 times.
During training, RGB patches with size of 64×64 from the LR input are used together with their corresponding HR patches.
Data augmentation is applied to the training set in the pre-processing stage where five images are created from the four corners and center of the original image.
We need the huggingface [datasets](https://huggingface.co/datasets?filter=task_ids:other-other-image-super-resolution) library to download the data:
```bash
pip install datasets
```
The following code gets the data and preprocesses/augments the data.
```python
from datasets import load_dataset
from super_image.data import EvalDataset, TrainDataset, augment_five_crop
augmented_dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='train')\
.map(augment_five_crop, batched=True, desc="Augmenting Dataset") # download and augment the data with the five_crop method
train_dataset = TrainDataset(augmented_dataset) # prepare the train dataset for loading PyTorch DataLoader
eval_dataset = EvalDataset(load_dataset('eugenesiow/Div2k', 'bicubic_x4', split='validation')) # prepare the eval dataset for the PyTorch DataLoader
```
### Pretraining
The model was trained on GPU. The training code is provided below:
```python
from super_image import Trainer, TrainingArguments, RcanModel, RcanConfig
training_args = TrainingArguments(
output_dir='./results', # output directory
num_train_epochs=1000, # total number of training epochs
)
config = RcanConfig(
scale=4, # train a model to upscale 4x
bam=True, # apply balanced attention to the network
)
model = RcanModel(config)
trainer = Trainer(
model=model, # the instantiated model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_dataset, # training dataset
eval_dataset=eval_dataset # evaluation dataset
)
trainer.train()
```
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Train_super_image_Models.ipynb "Open in Colab")
## Evaluation results
The evaluation metrics include [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio#Quality_estimation_with_PSNR) and [SSIM](https://en.wikipedia.org/wiki/Structural_similarity#Algorithm).
Evaluation datasets include:
- Set5 - [Bevilacqua et al. (2012)](https://huggingface.co/datasets/eugenesiow/Set5)
- Set14 - [Zeyde et al. (2010)](https://huggingface.co/datasets/eugenesiow/Set14)
- BSD100 - [Martin et al. (2001)](https://huggingface.co/datasets/eugenesiow/BSD100)
- Urban100 - [Huang et al. (2015)](https://huggingface.co/datasets/eugenesiow/Urban100)
The results columns below are represented below as `PSNR/SSIM`. They are compared against a Bicubic baseline.
|Dataset |Scale |Bicubic |rcan-bam |
|--- |--- |--- |--- |
|Set5 |2x |33.64/0.9292 |**** |
|Set5 |3x |30.39/0.8678 |**** |
|Set5 |4x |28.42/0.8101 |**30.8/0.8701** |
|Set14 |2x |30.22/0.8683 |**** |
|Set14 |3x |27.53/0.7737 |**** |
|Set14 |4x |25.99/0.7023 |**27.91/0.7648** |
|BSD100 |2x |29.55/0.8425 |**** |
|BSD100 |3x |27.20/0.7382 |**** |
|BSD100 |4x |25.96/0.6672 |**27.91/0.7477** |
|Urban100 |2x |26.66/0.8408 |**** |
|Urban100 |3x | |**** |
|Urban100 |4x |23.14/0.6573 |**24.75/0.7346** |
You can find a notebook to easily run evaluation on pretrained models below:
[](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
## BibTeX entry and citation info
```bibtex
@misc{wang2021bam,
title={BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution},
author={Fanyi Wang and Haotian Hu and Cheng Shen},
year={2021},
eprint={2104.07566},
archivePrefix={arXiv},
primaryClass={eess.IV}
}
```
```bibtex
@misc{zhang2018image,
title={Image Super-Resolution Using Very Deep Residual Channel Attention Networks},
author={Yulun Zhang and Kunpeng Li and Kai Li and Lichen Wang and Bineng Zhong and Yun Fu},
year={2018},
eprint={1807.02758},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
|
{"license": "apache-2.0", "tags": ["super-image", "image-super-resolution"], "datasets": ["eugenesiow/Div2k", "eugenesiow/Set5", "eugenesiow/Set14", "eugenesiow/BSD100", "eugenesiow/Urban100"], "metrics": ["pnsr", "ssim"]}
|
eugenesiow/rcan-bam
| null |
[
"transformers",
"RCAN",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1807.02758",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null | null |
{}
|
eun/distilbert-base-uncased-finetuned-squad
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
feature-extraction
|
transformers
|
{}
|
eunjin/klue-roberta-large-wic-finetuned
| null |
[
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
feature-extraction
|
transformers
|
korean Mental Health BERT
kcBERT를 아래의 dataset으로 MLM fine-tuining한 Bert Model입니다. 정신건강 문제 해결에 도움이 될만한 데이터셋이라고 판단하여 domain-adaptation하였고, 향후 정신건강 관련 감정 및 상태 classification 및 그에 따른 chatbot 구현에 사용할 수 있습니다.
이후 공개될 예정인 더 큰 규모의 데이터셋까지 Dapt할 예정입니다.
datasets from AIhub
웰니스 대화 스크립트 데이터셋1 & 2 (중복 제거 약 2만9천개)
@inproceedings{lee2020kcbert, title={KcBERT: Korean Comments BERT}, author={Lee, Junbum}, booktitle={Proceedings of the 32nd Annual Conference on Human and Cognitive Language Technology}, pages={437--440}, year={2020} }
|
{}
|
eunjin/koMHBERT-kcbert-based-v1
| null |
[
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
feature-extraction
|
transformers
|
korean Mental Health BERT -v2
huggingface에 공개된 kcbert-base BERT를 정신건강의학신문을 크롤링한 dataset으로 MLM fine-tuining한 Bert Model입니다. 정신건강 발화 관련 데이터를 모을 수 없는 상황에서 이를 대체할만한 데이터로 제시합니다. 향후 정신건강 관련 감정 및 상태 classification 및 그에 따른 chatbot 구현에 사용할 수 있습니다.
정신건강의학신문: http://www.psychiatricnews.net
|
{}
|
eunjin/koMHBERT-kcbert-based-v2
| null |
[
"transformers",
"pytorch",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
feature-extraction
|
transformers
|
{}
|
eunjin/koMHBERT-kobert-based-v1
| null |
[
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
feature-extraction
|
transformers
|
korean Mental Health BERT
huggingface에 공개된 KR-Medium BERT를 아래의 dataset으로 MLM fine-tuining한 Bert Model입니다. 정신건강 문제 해결에 도움이 될만한 데이터셋이라고 판단하여 domain-adaptation하였고, 향후 정신건강 관련 감정 및 상태 classification 및 그에 따른 chatbot 구현에 사용할 수 있습니다. 이후 공개될 예정인 더 큰 규모의 데이터셋까지 Dapt할 예정입니다.
datasets from AIhub
웰니스 대화 스크립트 데이터셋1 & 2 (중복 제거 약 2만9천개)
|
{}
|
eunjin/koMHBERT-krbert-based-v1
| null |
[
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
feature-extraction
|
transformers
|
korean Mental Health BERT -v2
huggingface에 공개된 KR-Medium BERT를 정신건강의학신문을 크롤링한 dataset으로 MLM fine-tuining한 Bert Model입니다.
정신건강 발화 관련 데이터를 모을 수 없는 상황에서 이를 대체할만한 데이터로 제시합니다.
향후 정신건강 관련 감정 및 상태 classification 및 그에 따른 chatbot 구현에 사용할 수 있습니다.
정신건강의학신문: http://www.psychiatricnews.net
|
{}
|
eunjin/koMHBERT-krbert-based-v2
| null |
[
"transformers",
"pytorch",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
feature-extraction
|
transformers
|
{}
|
eunjin/koelectra-base-v3-cola-finetuned
| null |
[
"transformers",
"pytorch",
"electra",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
text-generation
|
transformers
|
* skt/kogpt2-base-v2에 wellness 및 일상챗봇 데이터를 fine-tuning한 모델입니다.
* 유사한 정신건강 상담 도메인에서 바로 사용 가능합니다.
* 깃허브 사이트를 참조해주세요! https://github.com/eunjiinkim/WellnessChatbot
|
{}
|
eunjin/kogpt2-finetuned-wellness
| null |
[
"transformers",
"pytorch",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
transformers
|
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 417310788
- CO2 Emissions (in grams): 6.826886567147602
## Validation Metrics
- Loss: 0.20949310064315796
- Accuracy: 0.9578392621870883
- Precision: 0.9476190476190476
- Recall: 0.9045454545454545
- AUC: 0.9714032720526227
- F1: 0.9255813953488372
## Usage
You can use cURL to access this model:
```
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/evandrodiniz/autonlp-api-boamente-417310788
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("evandrodiniz/autonlp-api-boamente-417310788", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("evandrodiniz/autonlp-api-boamente-417310788", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
```
|
{"language": "unk", "tags": "autonlp", "datasets": ["evandrodiniz/autonlp-data-api-boamente"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 6.826886567147602}
|
evandrodiniz/autonlp-api-boamente-417310788
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"autonlp",
"unk",
"dataset:evandrodiniz/autonlp-data-api-boamente",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
transformers
|
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 417310793
- CO2 Emissions (in grams): 9.446754273734577
## Validation Metrics
- Loss: 0.25755178928375244
- Accuracy: 0.9407114624505929
- Precision: 0.8600823045267489
- Recall: 0.95
- AUC: 0.9732501264968797
- F1: 0.9028077753779697
## Usage
You can use cURL to access this model:
```
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/evandrodiniz/autonlp-api-boamente-417310793
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("evandrodiniz/autonlp-api-boamente-417310793", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("evandrodiniz/autonlp-api-boamente-417310793", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
```
|
{"language": "unk", "tags": "autonlp", "datasets": ["evandrodiniz/autonlp-data-api-boamente"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 9.446754273734577}
|
evandrodiniz/autonlp-api-boamente-417310793
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"autonlp",
"unk",
"dataset:evandrodiniz/autonlp-data-api-boamente",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null | null |
{}
|
evanlhatch/Taco
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
null | null |
{}
|
evanrmurphy/wav2vec2-base-timit-demo-colab
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
text-classification
|
transformers
|
{}
|
ewriji/heil-A.412C-classification
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
fill-mask
|
transformers
|
{}
|
ewriji/heil-A.412C-negative
| null |
[
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
fill-mask
|
transformers
|
{}
|
ewriji/heil-A.412C-positive
| null |
[
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
question-answering
|
transformers
|
{}
|
exafluence/BERT-ClinicalQA
| null |
[
"transformers",
"pytorch",
"distilbert",
"question-answering",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
null | null |
{}
|
existeundelta/roberta-base-bne-finetuned-amazon_reviews_multi
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Afrikaans-AfriBooms
| Feature | Description |
| --- | --- |
| **Name** | `af_udv25_afrikaansafribooms_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (455 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `AOA`, `AOP`, `ASA`, `ASP`, `AVA`, `AVP`, `BO`, `BS`, `BV`, `KN`, `KO`, `LB`, `LO`, `NA`, `NEE`, `NM`, `NME`, `NSE`, `NSED`, `NSM`, `PA`, `PB`, `PDHEB`, `PDHEDP`, `PDHENP`, `PDHEW`, `PDMB`, `PDMP`, `PDMW`, `PDOENP`, `PDOEW`, `PDVEB`, `PDVEDP`, `PDVENP`, `PDVEW`, `PEEB`, `PEEDP`, `PEENP`, `PEMB`, `PEMP`, `PEMW`, `PO`, `PTEB`, `PTEDP`, `PTENP`, `PTEW`, `PTMP`, `PV`, `PW`, `RA`, `RK`, `RL`, `RO`, `RS`, `RSF`, `RV`, `RWD`, `SVS`, `THAB`, `THAO`, `THBB`, `THBO`, `THNB`, `THPB`, `THPO`, `TRAB`, `TRAO`, `TRBB`, `UPB`, `UPD`, `UPI`, `UPO`, `UPS`, `UPV`, `UPW`, `UXD`, `VTHOG`, `VTHOK`, `VTHOO`, `VTHOV`, `VTHSG`, `VTHSO`, `VTUOA`, `VTUOM`, `VTUOP`, `VUOT`, `VVHOG`, `VVHOK`, `VVHOO`, `VVUOM`, `VVUOP`, `ZE`, `ZM`, `ZPL`, `ZPR` |
| **`morphologizer`** | `Definite=Def\|POS=DET\|PronType=Art`, `Number=Sing\|POS=NOUN`, `AdpType=Prep\|POS=ADP`, `AdjType=Attr\|Case=Nom\|Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=NOUN`, `POS=AUX\|Tense=Pres\|VerbForm=Fin,Inf\|VerbType=Cop`, `Definite=Ind\|POS=DET\|PronType=Art`, `POS=NUM`, `POS=PART\|PartType=Inf`, `POS=VERB\|Subcat=Tran\|Tense=Pres\|VerbForm=Fin,Inf`, `POS=PRON\|PronType=Rel`, `POS=AUX\|Tense=Pres\|VerbForm=Fin,Inf\|VerbType=Pas`, `POS=PUNCT`, `POS=CCONJ`, `POS=SCONJ`, `POS=VERB\|Subcat=Intr\|Tense=Pres\|VerbForm=Fin,Inf`, `POS=VERB\|Subcat=Intr\|Tense=Past\|VerbForm=Part`, `POS=AUX\|Tense=Past\|VerbForm=Fin\|VerbType=Pas`, `Degree=Pos\|POS=ADV`, `POS=AUX\|Tense=Pres\|VerbForm=Fin,Inf\|VerbType=Mod`, `POS=DET\|PronType=Ind`, `POS=X`, `Number=Sing\|POS=PROPN`, `POS=PRON\|PronType=Ind`, `POS=PART\|PartType=Neg`, `POS=VERB\|Subcat=Tran\|Tense=Past\|VerbForm=Part`, `AdjType=Pred\|Case=Nom\|Degree=Pos\|POS=ADJ`, `POS=DET\|PronType=Dem`, `Degree=Cmp\|POS=ADV`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=SYM`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PART\|PartType=Gen`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|POS=ADV`, `Degree=Dim\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|PronType=Int`, `Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `AdjType=Attr\|Case=Nom\|Degree=Sup\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `AdjType=Pred\|Case=Nom\|Degree=Cmp\|POS=ADJ`, `POS=VERB\|Subcat=Prep\|Tense=Pres\|VerbForm=Fin,Inf`, `POS=AUX\|Tense=Pres\|VerbForm=Fin,Inf\|VerbType=Aux`, `Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PRON\|PronType=Rcp`, `POS=AUX\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|Tense=Past\|VerbForm=Fin\|VerbType=Cop`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `AdjType=Attr\|Case=Nom\|Degree=Cmp\|POS=ADJ`, `Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `AdjType=Pred\|Case=Nom\|Degree=Sup\|POS=ADJ` |
| **`parser`** | `ROOT`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `7`, `8`, `10`, `12`, `14`, `16`, `18`, `21`, `24`, `26`, `28`, `31`, `32`, `34`, `37`, `39`, `40`, `42`, `44`, `46`, `47`, `49`, `51`, `53`, `54`, `56`, `57`, `58`, `59`, `61`, `64`, `66`, `68`, `69`, `72`, `74`, `75`, `77`, `78`, `81`, `83`, `84`, `85`, `86`, `87`, `90`, `92`, `94`, `96`, `99`, `101`, `103`, `105`, `108`, `110`, `113`, `116`, `117`, `118`, `121`, `123`, `124`, `125`, `127`, `128`, `129`, `133`, `136`, `138`, `141`, `143`, `145`, `147`, `151`, `153`, `154`, `156`, `158`, `159`, `160`, `162`, `164`, `165`, `167`, `168`, `170`, `172`, `174`, `176`, `178`, `179`, `180`, `181`, `183`, `185`, `189`, `190`, `191`, `192`, `194`, `195`, `197`, `198`, `201`, `202`, `203`, `204`, `206`, `207`, `209`, `213`, `214`, `216`, `217`, `218`, `220`, `221`, `222`, `223`, `225`, `226`, `228`, `229`, `231`, `233`, `234`, `236`, `238`, `240`, `241`, `244`, `247`, `248`, `249`, `250`, `252`, `253`, `255`, `256`, `257`, `258`, `261`, `262`, `263`, `265`, `267`, `269`, `270`, `271`, `273`, `275`, `276`, `278`, `279`, `281`, `283`, `285`, `287`, `289`, `291`, `294`, `296`, `297`, `298`, `299`, `300`, `301`, `302`, `303`, `305`, `306`, `307`, `309`, `310`, `311`, `313`, `314`, `315`, `317`, `320`, `321`, `323`, `325`, `326`, `327`, `328`, `329`, `330`, `332`, `333`, `335`, `336`, `337`, `338`, `339`, `340`, `341`, `343`, `344`, `347`, `348`, `349`, `351`, `353`, `355`, `357`, `359`, `360`, `361`, `362`, `365`, `366`, `367`, `369`, `371`, `373`, `374`, `375`, `377`, `379`, `381`, `383`, `386`, `388`, `390`, `392`, `393`, `395`, `397`, `398`, `400`, `401`, `402`, `403`, `405`, `406`, `408`, `409`, `411`, `412`, `414`, `417`, `215`, `418`, `419`, `420`, `421`, `422`, `424`, `425`, `426`, `427`, `429`, `431`, `432`, `433`, `434`, `436`, `438`, `439`, `440`, `442`, `443`, `444`, `447`, `449`, `450`, `452` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.92 |
| `TOKEN_P` | 99.89 |
| `TOKEN_R` | 99.94 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 100.00 |
| `SENTS_P` | 100.00 |
| `SENTS_R` | 100.00 |
| `TAG_ACC` | 96.01 |
| `POS_ACC` | 98.52 |
| `MORPH_ACC` | 97.52 |
| `DEP_UAS` | 90.78 |
| `DEP_LAS` | 87.50 |
| `LEMMA_ACC` | 97.87 |
|
{"language": ["af"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/af_udv25_afrikaansafribooms_trf
| null |
[
"spacy",
"token-classification",
"af",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Danish-DDT
| Feature | Description |
| --- | --- |
| **Name** | `da_udv25_danishddt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1316 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `AdpType=Prep\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PROPN`, `Definite=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `NumType=Ord\|POS=ADJ`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=ADP\|PartType=Inf`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PART\|PartType=Inf`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Imp\|POS=VERB`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=ADV\|PartType=Inf`, `Degree=Sup\|POS=ADV`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|POS=PROPN`, `POS=ADP`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=INTJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=SYM`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Degree=Sup\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind\|Style=Arch`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Foreign=Yes\|POS=X`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Degree=Abs\|POS=ADV`, `POS=VERB\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Pres`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Mood=Imp\|POS=AUX`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=NOUN`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=NOUN` |
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `discourse`, `expl`, `fixed`, `flat`, `goeswith`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:loc`, `obl:tmod`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `7`, `9`, `11`, `13`, `15`, `17`, `19`, `21`, `23`, `27`, `31`, `33`, `35`, `37`, `39`, `42`, `44`, `45`, `5`, `47`, `49`, `51`, `53`, `55`, `57`, `59`, `63`, `67`, `69`, `73`, `75`, `77`, `79`, `81`, `83`, `85`, `87`, `89`, `91`, `93`, `95`, `97`, `101`, `103`, `104`, `106`, `109`, `113`, `115`, `116`, `117`, `118`, `119`, `122`, `124`, `127`, `130`, `133`, `134`, `135`, `138`, `140`, `141`, `144`, `146`, `148`, `149`, `151`, `153`, `154`, `156`, `157`, `158`, `159`, `160`, `164`, `166`, `169`, `172`, `175`, `177`, `179`, `181`, `183`, `185`, `188`, `6`, `190`, `192`, `195`, `197`, `199`, `201`, `203`, `205`, `207`, `209`, `212`, `214`, `216`, `217`, `220`, `221`, `222`, `224`, `227`, `228`, `229`, `230`, `232`, `234`, `236`, `238`, `239`, `241`, `243`, `244`, `247`, `248`, `249`, `250`, `252`, `253`, `254`, `255`, `257`, `258`, `262`, `264`, `270`, `274`, `277`, `278`, `280`, `282`, `284`, `286`, `289`, `290`, `292`, `293`, `294`, `295`, `296`, `297`, `298`, `301`, `302`, `304`, `305`, `306`, `308`, `310`, `312`, `314`, `315`, `317`, `319`, `323`, `324`, `326`, `328`, `330`, `332`, `334`, `336`, `339`, `341`, `342`, `344`, `345`, `346`, `348`, `350`, `353`, `356`, `357`, `359`, `362`, `363`, `365`, `366`, `368`, `369`, `370`, `372`, `374`, `375`, `376`, `378`, `380`, `381`, `385`, `387`, `388`, `392`, `394`, `398`, `401`, `402`, `403`, `405`, `406`, `407`, `408`, `409`, `410`, `411`, `414`, `415`, `416`, `419`, `422`, `423`, `426`, `430`, `431`, `432`, `433`, `436`, `437`, `438`, `439`, `440`, `441`, `442`, `443`, `445`, `446`, `448`, `449`, `450`, `451`, `452`, `453`, `456`, `457`, `460`, `462`, `468`, `469`, `471`, `472`, `473`, `474`, `476`, `478`, `480`, `481`, `484`, `485`, `486`, `488`, `489`, `491`, `492`, `493`, `494`, `495`, `496`, `498`, `500`, `502`, `505`, `507`, `508`, `510`, `511`, `512`, `514`, `515`, `517`, `519`, `521`, `522`, `524`, `525`, `528`, `530`, `532`, `533`, `535`, `536`, `537`, `539`, `542`, `543`, `546`, `547`, `550`, `551`, `553`, `554`, `556`, `557`, `558`, `561`, `562`, `563`, `564`, `567`, `569`, `570`, `573`, `575`, `576`, `577`, `578`, `579`, `580`, `582`, `583`, `584`, `585`, `587`, `588`, `590`, `591`, `593`, `597`, `598`, `600`, `601`, `602`, `603`, `605`, `606`, `607`, `608`, `609`, `610`, `612`, `614`, `617`, `618`, `621`, `623`, `625`, `626`, `627`, `628`, `629`, `630`, `631`, `633`, `634`, `635`, `636`, `638`, `639`, `640`, `641`, `642`, `643`, `645`, `646`, `647`, `649`, `650`, `651`, `653`, `656`, `657`, `659`, `660`, `661`, `662`, `664`, `665`, `667`, `670`, `671`, `672`, `674`, `675`, `676`, `677`, `678`, `679`, `680`, `681`, `683`, `685`, `686`, `688`, `689`, `690`, `691`, `692`, `693`, `694`, `696`, `697`, `698`, `699`, `701`, `702`, `703`, `704`, `705`, `706`, `707`, `709`, `711`, `714`, `715`, `717`, `720`, `721`, `722`, `723`, `725`, `728`, `730`, `731`, `732`, `734`, `736`, `738`, `740`, `742`, `746`, `747`, `748`, `750`, `752`, `753`, `754`, `758`, `759`, `763`, `764`, `766`, `768`, `769`, `773`, `775`, `776`, `778`, `779`, `780`, `781`, `782`, `785`, `788`, `789`, `790`, `791`, `795`, `796`, `797`, `798`, `800`, `801`, `803`, `805`, `806`, `807`, `808`, `810`, `812`, `813`, `815`, `816`, `818`, `821`, `822`, `823`, `825`, `827`, `830`, `832`, `836`, `837`, `838`, `840`, `841`, `844`, `846`, `848`, `850`, `851`, `852`, `854`, `856`, `858`, `860`, `861`, `863`, `864`, `865`, `866`, `867`, `868`, `870`, `872`, `873`, `874`, `875`, `880`, `882`, `884`, `885`, `886`, `887`, `889`, `891`, `892`, `893`, `894`, `895`, `896`, `898`, `902`, `903`, `905`, `907`, `908`, `909`, `911`, `912`, `913`, `914`, `915`, `917`, `918`, `919`, `920`, `922`, `923`, `924`, `926`, `927`, `928`, `929`, `931`, `934`, `935`, `936`, `938`, `939`, `940`, `941`, `942`, `944`, `945`, `947`, `949`, `951`, `952`, `954`, `955`, `956`, `958`, `960`, `961`, `962`, `969`, `970`, `974`, `975`, `977`, `978`, `979`, `980`, `981`, `983`, `984`, `987`, `988`, `989`, `993`, `995`, `998`, `1000`, `1001`, `1002`, `1004`, `1007`, `1011`, `1012`, `1014`, `1017`, `1018`, `1020`, `1021`, `1022`, `1023`, `1025`, `1026`, `1027`, `1029`, `1030`, `1031`, `1032`, `1033`, `1034`, `1036`, `1037`, `1038`, `1040`, `1042`, `1044`, `1045`, `1048`, `1050`, `1051`, `1053`, `1054`, `1056`, `1057`, `1058`, `1059`, `1060`, `1061`, `1062`, `1064`, `1066`, `1067`, `1069`, `1070`, `1072`, `1073`, `1076`, `1078`, `1080`, `1081`, `1085`, `1086`, `1087`, `1088`, `1089`, `1090`, `1092`, `1093`, `1094`, `1096`, `1097`, `1098`, `1100`, `1101`, `1102`, `1106`, `1109`, `1110`, `1111`, `1113`, `1114`, `1116`, `1117`, `1119`, `1120`, `1122`, `1123`, `1125`, `1127`, `1128`, `1131`, `1132`, `1133`, `1134`, `1135`, `1136`, `1137`, `1138`, `1141`, `831`, `1142`, `1143`, `1144`, `1146`, `1148`, `1150`, `1152`, `1153`, `1155`, `1157`, `1158`, `1160`, `1161`, `1162`, `1163`, `1168`, `1170`, `1171`, `1174`, `1175`, `1176`, `1178`, `1181`, `1182`, `1183`, `1185`, `1186`, `1189`, 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`1729`, `1730`, `1732`, `1734`, `1735`, `1737`, `1739`, `1741`, `1742`, `1743`, `1745`, `1747`, `1749`, `1750`, `1751`, `1753`, `1754`, `1756`, `1758`, `1759`, `1760`, `1761`, `1762`, `1764`, `1766`, `1768`, `1769`, `1770`, `1771`, `1772`, `1773`, `1774` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.96 |
| `TOKEN_P` | 99.95 |
| `TOKEN_R` | 99.96 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 96.89 |
| `SENTS_P` | 97.15 |
| `SENTS_R` | 96.63 |
| `TAG_ACC` | 98.49 |
| `POS_ACC` | 98.48 |
| `MORPH_ACC` | 98.20 |
| `DEP_UAS` | 89.67 |
| `DEP_LAS` | 87.29 |
| `LEMMA_ACC` | 97.55 |
|
{"language": ["da"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/da_udv25_danishddt_trf
| null |
[
"spacy",
"token-classification",
"da",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_German-HDT
| Feature | Description |
| --- | --- |
| **Name** | `de_udv25_germanhdt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (62832 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `$(`, `$,`, `$.`, `ADJA`, `ADJD`, `ADV`, `APPO`, `APPR`, `APPRART`, `APZR`, `ART`, `CARD`, `FM`, `ITJ`, `KOKOM`, `KON`, `KOUI`, `KOUS`, `NE`, `NN`, `PDAT`, `PDS`, `PIAT`, `PIDAT`, `PIS`, `PPER`, `PPOSAT`, `PPOSS`, `PRELAT`, `PRELS`, `PRF`, `PROAV`, `PTKA`, `PTKANT`, `PTKNEG`, `PTKVZ`, `PTKZU`, `PWAT`, `PWAV`, `PWS`, `TRUNC`, `VAFIN`, `VAIMP`, `VAINF`, `VAPP`, `VMFIN`, `VMINF`, `VMPP`, `VVFIN`, `VVIMP`, `VVINF`, `VVIZU`, `VVPP`, `XY` |
| **`morphologizer`** | `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=PROPN\|Person=3`, `Foreign=Yes\|POS=X\|Person=3`, `POS=PUNCT\|PunctType=Comm`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `AdpType=Prep\|POS=ADP`, `Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `POS=CCONJ`, `POS=PUNCT\|PunctType=Peri`, `NumType=Card\|Number=Plur\|POS=NUM\|Person=3`, `Gender=Fem\|Number=Plur\|POS=NOUN\|Person=3`, `AdpType=Prep\|Case=Dat\|POS=ADP\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `POS=PUNCT\|PunctType=Brck`, `POS=PROPN\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `POS=ADV`, `POS=SCONJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=VERB\|VerbForm=Inf`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc\|Number=Sing\|POS=PROPN\|Person=3`, `Degree=Cmp\|POS=ADJ\|Variant=Short`, `POS=ADP\|PartType=Vbp`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PART\|Polarity=Neg`, `Degree=Cmp\|POS=ADV`, `ConjType=Comp\|POS=CCONJ`, `Degree=Pos\|POS=ADJ\|Variant=Short`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Aspect=Perf\|POS=VERB\|VerbForm=Part`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Acc\|Number=Plur\|POS=DET\|Person=3`, `Degree=Sup\|POS=ADJ\|Variant=Short`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Hyph=Yes\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `POS=PART\|PartType=Inf`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Dat\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=NOUN\|Person=3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=AUX\|VerbForm=Inf`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `POS=AUX\|VerbForm=Inf\|VerbType=Mod`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|Case=Dat\|Gender=Fem\|POS=ADP\|PronType=Art`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `POS=ADJ`, `Degree=Cmp\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Art`, `POS=ADV\|PronType=Int`, `Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Number=Plur\|POS=DET\|Person=3`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Degree=Cmp\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `AdpType=Post\|Case=Dat\|POS=ADP`, `Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|POS=AUX\|VerbForm=Part`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=NOUN\|Person=3`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Pos\|Number=Plur\|POS=NOUN\|Person=3`, `Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Degree=Sup\|POS=ADV`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Sup\|Number=Plur\|POS=ADJ\|Person=3`, `Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `NumType=Card\|Number=Sing\|POS=NUM\|Person=3`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=DET\|Person=3`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Number=Plur\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `AdpType=Prep\|Case=Acc\|Gender=Neut\|POS=ADP\|PronType=Art`, `Case=Gen\|Number=Sing\|POS=PROPN\|Person=3`, `Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Number=Plur\|POS=ADJ\|Person=3`, `POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Dat\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `POS=ADJ\|Person=3`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Dem`, `AdpType=Circ\|POS=ADP`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|Case=Nom\|POS=ADP`, `Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Case=Dat\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Foreign=Yes\|POS=X`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|POS=PROPN\|Person=3`, `Case=Dat\|Number=Plur\|POS=DET\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Number=Plur\|POS=ADJ\|Person=3`, `POS=DET`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=X`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ`, `AdpType=Post\|Case=Acc\|POS=ADP`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Dat\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person=3`, `NumType=Card\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Degree=Pos\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Degree=Sup\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `POS=ADJ\|Variant=Short`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Foreign=Yes\|Number=Sing\|POS=X`, `Case=Nom\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|POS=AUX\|VerbForm=Part\|VerbType=Mod`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Gender=Masc\|POS=NOUN\|Person=3`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ`, `POS=INTJ\|PartType=Res`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Foreign=Yes\|Gender=Neut\|Number=Sing\|POS=X\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Int`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Gender=Neut\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `POS=PROPN`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Case=Acc\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Art`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN\|Person=3`, `Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Number=Plur\|POS=DET\|Person=3`, `Case=Nom\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Hyph=Yes\|Number=Plur\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|POS=PROPN\|Person=3`, `Case=Gen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Acc\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Pos\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Pos\|Number=Sing\|POS=ADJ\|Person=3`, `POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|POS=PRON\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Degree=Sup\|Number=Plur\|POS=ADJ`, `POS=PRON\|PronType=Int`, `Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Hyph=Yes\|POS=NOUN\|Person=3`, `Degree=Pos\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|NumType=Card\|Number=Plur\|POS=NUM\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `POS=INTJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|POS=SCONJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Number=Sing\|POS=DET\|Person=3\|PronType=Art`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `AdpType=Post\|Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADV`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Acc\|POS=PROPN\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Ind,Neg,Tot`, `Degree=Pos\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|POS=PROPN\|Person=3`, `Case=Nom\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `AdpType=Prep\|Case=Acc\|Gender=Fem\|POS=ADP\|PronType=Art`, `Degree=Pos\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|POS=PRON\|PronType=Rel`, `Case=Acc\|POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `AdpType=Prep\|Case=Dat\|Gender=Neut\|POS=ADP\|PronType=Art`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int`, `Case=Dat\|POS=NOUN\|Person=3`, `Degree=Pos\|POS=VERB\|VerbForm=Inf`, `Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3\|Variant=Short`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=SCONJ\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Person=3\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `Mood=Ind\|POS=VERB\|Person=1\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|POS=DET\|PronType=Art`, `Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|POS=ADP\|PronType=Art`, `Number=Sing\|POS=PRON\|PronType=Ind,Neg,Tot`, `Degree=Sup\|Number=Plur\|POS=DET\|Person=3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=DET`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=NOUN\|Person=3`, `AdpType=Prep\|Case=Dat\|Gender=Masc\|POS=ADP\|PronType=Art`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Degree=Pos\|Gender=Neut\|POS=ADJ`, `Gender=Fem\|POS=ADJ`, `Degree=Pos\|Gender=Fem\|POS=ADJ`, `Gender=Masc\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|VerbType=Mod`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|VerbType=Mod`, `POS=DET\|Person=3`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|VerbType=Mod`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `expl`, `expl:pv`, `flat`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `parataxis`, `punct`, `reparandum`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | -- |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 99.75 |
| `SENTS_P` | 99.74 |
| `SENTS_R` | 99.76 |
| `TAG_ACC` | 97.84 |
| `POS_ACC` | 97.82 |
| `MORPH_ACC` | 78.11 |
| `DEP_UAS` | 97.28 |
| `DEP_LAS` | 95.88 |
| `LEMMA_ACC` | 92.04 |
|
{"language": ["de"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/de_udv25_germanhdt_trf
| null |
[
"spacy",
"token-classification",
"de",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
spacy
|
# Welcome to Healthsea ✨
Create better access to health with machine learning and natural language processing. This is the trained healthsea pipeline for analyzing user reviews to supplements by extracting their effects on health. This pipeline features a trained NER model and a custom Text Classification model with Clause Segmentation and Blinding capabilities.
> Read more in the [blog post](https://explosion.ai/blog/healthsea) and visit the [healthsea repository](https://github.com/explosion/healthsea) for all training workflows, custom components and training data.
| Feature | Description |
| --- | --- |
| **Name** | `en_healthsea` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.2.0,<3.3.0` |
| **Default Pipeline** | `sentencizer`, `tok2vec`, `ner`, `benepar`, `segmentation`, `clausecat`, `aggregation` |
| **Components** | `sentencizer`, `tok2vec`, `ner`, `benepar`, `segmentation`, `clausecat`, `aggregation` |
| **Vectors** | 684830 keys, 684830 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | MIT |
| **Author** | [Explosion](explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (6 labels for 2 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `BENEFIT`, `CONDITION` |
| **`clausecat`** | `POSITIVE`, `NEUTRAL`, `NEGATIVE`, `ANAMNESIS` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 80.34 |
| `ENTS_P` | 80.77 |
| `ENTS_R` | 79.92 |
| `CATS_SCORE` | 74.87 |
| `CATS_MICRO_P` | 82.17 |
| `CATS_MICRO_R` | 80.85 |
| `CATS_MICRO_F` | 81.51 |
| `CATS_MACRO_P` | 78.01 |
| `CATS_MACRO_R` | 72.41 |
| `CATS_MACRO_F` | 74.87 |
| `CATS_MACRO_AUC` | 92.76 |
| `CATS_LOSS` | 297.22 |
|
{"language": ["en"], "tags": ["spacy", "token-classification", "text-classification"]}
|
explosion/en_healthsea
| null |
[
"spacy",
"token-classification",
"text-classification",
"en",
"model-index",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
spacy
|
# 🪐 spaCy Project: Categorization of emotions in Reddit posts (Text Classification) This project uses spaCy to train a text classifier on the [GoEmotions dataset](https://github.com/google-research/google-research/tree/master/goemotions)
| Feature | Description |
| --- | --- |
| **Name** | `en_textcat_goemotions` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.1.1,<3.2.0` |
| **Default Pipeline** | `transformer`, `textcat_multilabel` |
| **Components** | `transformer`, `textcat_multilabel` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [GoEmotions dataset](https://github.com/google-research/google-research/tree/master/goemotions) |
| **License** | `MIT` |
| **Author** | [Explosion](explosion.ai) |
> The dataset that this model is trained on has known flaws described [here](https://github.com/google-research/google-research/tree/master/goemotions#disclaimer) as well as label errors resulting from [annotator disagreement](https://www.youtube.com/watch?v=khZ5-AN-n2Y). Anyone using this model should be aware of these limitations of the dataset.
### Label Scheme
<details>
<summary>View label scheme (28 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`textcat_multilabel`** | `admiration`, `amusement`, `anger`, `annoyance`, `approval`, `caring`, `confusion`, `curiosity`, `desire`, `disappointment`, `disapproval`, `disgust`, `embarrassment`, `excitement`, `fear`, `gratitude`, `grief`, `joy`, `love`, `nervousness`, `optimism`, `pride`, `realization`, `relief`, `remorse`, `sadness`, `surprise`, `neutral` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `CATS_SCORE` | 90.22 |
| `CATS_MICRO_P` | 66.67 |
| `CATS_MICRO_R` | 47.81 |
| `CATS_MICRO_F` | 55.68 |
| `CATS_MACRO_P` | 55.00 |
| `CATS_MACRO_R` | 41.93 |
| `CATS_MACRO_F` | 46.29 |
| `CATS_MACRO_AUC` | 90.22 |
| `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
| `TRANSFORMER_LOSS` | 83.51 |
| `TEXTCAT_MULTILABEL_LOSS` | 4549.84 |
|
{"language": ["en"], "license": "mit", "tags": ["spacy", "text-classification"], "model-index": [{"name": "en_textcat_goemotions", "results": []}]}
|
explosion/en_textcat_goemotions
| null |
[
"spacy",
"text-classification",
"en",
"license:mit",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_English-EWT
| Feature | Description |
| --- | --- |
| **Name** | `en_udv25_englishewt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1760 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `GW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
| **`morphologizer`** | `Number=Sing\|POS=PROPN`, `POS=PUNCT`, `Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Definite=Def\|POS=DET\|PronType=Art`, `Number=Sing\|POS=NOUN`, `POS=ADP`, `Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|POS=DET\|PronType=Art`, `POS=AUX\|VerbForm=Fin`, `POS=AUX\|VerbForm=Inf`, `POS=VERB\|VerbForm=Ger`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `POS=SCONJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `NumType=Card\|POS=NUM`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PROPN`, `Degree=Pos\|NumType=Ord\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=CCONJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PRON\|PronType=Rel`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON`, `Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=DET`, `Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|POS=ADV`, `Degree=Cmp\|POS=ADV`, `Number=Sing\|POS=PRON`, `Degree=Cmp\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=ADV\|PronType=Dem`, `POS=ADV\|PronType=Int`, `Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Degree=Sup\|POS=ADJ`, `POS=PRON\|PronType=Int`, `NumType=Mult\|POS=ADV`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=DET\|PronType=Int`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Number=Plur\|POS=DET\|PronType=Dem`, `POS=PRON\|Poss=Yes\|PronType=Int`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `POS=X`, `POS=PRON\|PronType=Dem`, `Number=Sing\|POS=PROPN\|Typo=Yes`, `POS=ADV\|PronType=Rel`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Degree=Sup\|POS=ADV`, `POS=INTJ`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Foreign=Yes\|POS=X`, `POS=SYM`, `Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|POS=CCONJ`, `POS=SCONJ\|Typo=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=SYM`, `POS=DET\|Typo=Yes`, `Degree=Pos\|POS=PROPN`, `Abbr=Yes\|POS=ADP`, `POS=ADP\|Typo=Yes`, `Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs\|Typo=Yes`, `Abbr=Yes\|POS=VERB\|Tense=Pres\|VerbForm=Part`, `Abbr=Yes\|POS=PART`, `POS=AUX\|Typo=Yes\|VerbForm=Fin`, `Degree=Pos\|POS=ADJ\|Typo=Yes`, `POS=VERB\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Number=Sing\|POS=NOUN\|Typo=Yes`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Abbr=Yes\|Number=Sing\|POS=NOUN`, `Degree=Pos\|POS=NOUN`, `POS=CCONJ\|Typo=Yes`, `Number=Sing\|POS=X`, `Abbr=Yes\|POS=SCONJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|POS=AUX\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `POS=ADV\|Typo=Yes`, `Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=NUM`, `POS=PRON\|Poss=Yes\|PronType=Rel`, `Abbr=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|POS=INTJ`, `Abbr=Yes\|POS=VERB\|VerbForm=Inf`, `Abbr=Yes\|Number=Sing\|POS=PRON`, `Abbr=Yes\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=PRON\|PronType=Int`, `Abbr=Yes\|POS=AUX\|VerbForm=Fin`, `Abbr=Yes\|POS=ADV`, `Abbr=Yes\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `POS=ADJ`, `Number=Plur\|POS=NOUN\|Typo=Yes`, `POS=DET\|PronType=Rel\|Typo=Yes`, `POS=PART\|Typo=Yes`, `Abbr=Yes\|POS=DET`, `POS=DET\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Typo=Yes`, `Degree=Pos\|NumType=Ord\|POS=ADV`, `POS=NOUN`, `Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Typo=Yes`, `POS=PRON\|Typo=Yes`, `Number=Plur\|POS=VERB`, `POS=VERB\|Typo=Yes\|VerbForm=Inf`, `Mood=Ind\|POS=VERB\|Tense=Past\|Typo=Yes\|VerbForm=Fin`, `Mood=Imp\|POS=AUX\|VerbForm=Inf`, `Abbr=Yes\|Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Abbr=Yes\|Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `POS=VERB\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Mood=Ind\|POS=AUX\|Tense=Past\|Typo=Yes\|VerbForm=Fin`, `Mood=Ind\|POS=VERB\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=VERB\|Typo=Yes\|VerbForm=Ger`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Abbr=Yes\|POS=PRON`, `Abbr=Yes\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Typo=Yes`, `Abbr=Yes\|Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `det:predet`, `discourse`, `expl`, `fixed`, `flat`, `flat:foreign`, `goeswith`, `iobj`, `list`, `mark`, `nmod`, `nmod:npmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:npmod`, `obl:tmod`, `orphan`, `parataxis`, `punct`, `reparandum`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0`, `2`, `4`, `6`, `8`, `10`, `12`, `13`, `15`, `17`, `19`, `21`, `23`, `26`, `28`, `29`, `30`, `32`, `34`, `36`, `39`, `42`, `43`, `45`, `47`, `49`, `51`, `53`, `55`, `57`, `59`, `61`, `62`, `64`, `67`, `69`, `71`, `73`, `75`, `77`, `79`, `81`, `83`, `85`, `87`, `1`, `89`, `90`, `92`, `94`, `95`, `97`, `99`, `101`, `105`, `106`, `108`, `110`, `111`, `112`, `113`, `115`, `117`, `119`, `121`, `122`, `124`, `125`, `126`, `127`, `128`, `129`, `130`, `132`, `133`, `136`, `137`, `138`, `139`, `142`, `143`, `145`, `150`, `153`, `156`, `157`, `159`, `162`, `163`, `164`, `167`, `169`, `171`, `174`, `176`, `177`, `179`, `182`, `184`, `187`, `189`, `191`, `193`, `194`, `197`, `198`, `201`, `203`, `204`, `208`, `210`, `211`, `213`, `214`, `215`, `217`, `220`, `221`, `224`, `225`, `227`, `229`, `231`, `233`, `235`, `236`, `239`, `241`, `242`, `244`, `246`, `247`, `248`, `249`, `250`, `251`, `252`, `254`, `256`, `258`, `259`, `261`, `263`, `264`, `265`, 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`1687`, `1688`, `1689`, `1690`, `1691`, `1692`, `1693`, `1694`, `1695`, `1696`, `1697`, `1698`, `1699`, `1700`, `1701`, `1702`, `1704`, `1705`, `1706`, `1707`, `1708`, `1709`, `1710`, `1711`, `1712`, `1713`, `1714`, `1715`, `1716`, `1717`, `1718`, `1719`, `1720`, `1721`, `1722`, `1723`, `1724`, `1725`, `1726`, `1727`, `1730`, `1732`, `1734`, `1735`, `1736`, `1737`, `1738`, `1740`, `1742`, `1743`, `1744`, `1745`, `1746`, `1747`, `1748`, `1749`, `1750`, `1751`, `1754`, `1755`, `1756`, `1758`, `1760`, `1761`, `1762`, `1763`, `1766`, `1767`, `1768`, `1769`, `1770`, `1772`, `1775`, `1778`, `1779`, `1784`, `1787`, `1788`, `1789`, `1790`, `1791`, `1793`, `1795`, `1796`, `1798`, `1800`, `1804`, `1805`, `1806`, `1807`, `1808`, `1809`, `1810`, `1811`, `1812`, `1813`, `1814`, `1815`, `1816`, `1818`, `1821`, `1822`, `1823`, `1824`, `1825`, `1826`, `1827`, `1828`, `1831`, `1832`, `1833`, `1834`, `1835`, `1836`, `1837`, `1838`, `1839`, `1840`, `1841`, `1842`, `1843`, `1844`, `1846`, `1847`, `1848`, `1849`, `1850`, `1851`, `1852`, `1853`, `1855`, `1857`, `1858`, `1859`, `1860`, `1861`, `1862`, `1863`, `1866`, `1867`, `1868`, `1869`, `1872`, `1873`, `1876`, `1877`, `1878`, `1879`, `1880`, `1881`, `1883`, `1884`, `1886`, `1887`, `1888`, `1893`, `1752`, `1896`, `1897`, `1899`, `1900`, `1901`, `1906`, `1907`, `1908`, `1910`, `1911`, `1912`, `1913`, `1916`, `1917`, `1918`, `1919`, `1920`, `1922`, `1923`, `1925`, `1926`, `1927`, `1928`, `1929`, `1930`, `1931`, `1932`, `1933`, `1120`, `1934`, `1935`, `1936`, `1937`, `1938`, `1939`, `1940`, `1941`, `1942`, `1943`, `1944`, `1945`, `1946`, `1947`, `1948`, `1949`, `1950`, `1951`, `1952`, `1953`, `1954`, `1955`, `1956`, `1957`, `1958`, `1959`, `1961`, `1962`, `1963`, `1964`, `1965`, `1966`, `1967`, `1968`, `1969`, `1970`, `1971`, `1972`, `1973`, `1974`, `1975`, `1976`, `1977`, `1978`, `1979`, `1982`, `1985`, `1987`, `1988`, `1989`, `1990`, `1992`, `1994`, `1995`, `1996`, `1997`, `1998`, `1999`, `2000`, `2003`, `2006`, `152`, `2007`, `2009`, `2010`, `2011`, `2012`, `2013`, `2014`, `2015`, `2016`, `2017`, `2019`, `2020`, `2021`, `2022`, `2023`, `2024`, `2025`, `2026`, `2029`, `2030`, `2031`, `2032`, `2033`, `2034`, `2035`, `2037`, `2038`, `2039`, `2040`, `2041`, `2042`, `2043`, `2044`, `2045`, `2047` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.15 |
| `TOKEN_P` | 99.18 |
| `TOKEN_R` | 99.11 |
| `TOKEN_ACC` | 99.83 |
| `SENTS_F` | 90.62 |
| `SENTS_P` | 90.99 |
| `SENTS_R` | 90.26 |
| `TAG_ACC` | 96.36 |
| `POS_ACC` | 96.94 |
| `MORPH_ACC` | 96.91 |
| `DEP_UAS` | 91.90 |
| `DEP_LAS` | 89.42 |
| `LEMMA_ACC` | 97.36 |
|
{"language": ["en"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/en_udv25_englishewt_trf
| null |
[
"spacy",
"token-classification",
"en",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Spanish-AnCora
| Feature | Description |
| --- | --- |
| **Name** | `es_udv25_spanishancora_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `GNU GPL 3.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (2060 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `AUX_PRON`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `PUNCT_VERB_PRON_PUNCT`, `SCONJ`, `SYM`, `VERB`, `VERB_PRON`, `X` |
| **`morphologizer`** | `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Preppron\|POS=ADP`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `AdpType=Prep\|POS=ADP`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `POS=PROPN`, `Case=Acc,Dat\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `POS=VERB\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=PRON\|PronType=Int,Rel`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `POS=SCONJ`, `POS=NOUN`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Number=Plur\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=PUNCT\|PunctType=Peri`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=PUNCT\|PunctType=Comm`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|POS=ADJ`, `POS=CCONJ`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `POS=ADV`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `POS=PRON\|PronType=Ind`, `POS=ADV\|Polarity=Neg`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=PUNCT\|PunctType=Quot`, `POS=PUNCT`, `Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Brck`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Brck`, `NumForm=Digit\|NumType=Card\|POS=NUM`, `NumType=Card\|POS=NUM`, `POS=VERB\|VerbForm=Ger`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADV`, `POS=AUX\|VerbForm=Inf`, `Number=Plur\|POS=DET\|PronType=Ind`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Cmp\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc,Dat\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Inf`, `Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `AdvType=Tim\|POS=NOUN`, `AdpType=Prep\|POS=ADV`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `NumType=Card\|Number=Plur\|POS=NUM`, `AdpType=Preppron\|POS=ADV`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `NumForm=Digit\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Dem`, `AdpType=Preppron\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Number=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `Number=Sing\|POS=DET\|PronType=Tot`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `POS=AUX\|VerbForm=Ger`, `Gender=Fem\|POS=NOUN`, `Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `AdvType=Tim\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PART`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin`, `NumForm=Digit\|POS=SYM`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin`, `NumForm=Digit\|NumType=Frac\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Number=Plur\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `POS=PUNCT\|PunctType=Colo`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Number=Sing\|POS=PRON\|PronType=Neg`, `POS=PUNCT\|PunctType=Semi`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=INTJ`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `AdpType=Prep\|POS=ADJ`, `Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PUNCT\|PunctType=Dash`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Gender=Masc\|POS=NOUN`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc,Dat\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Ger`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=NOUN\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Degree=Abs\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `POS=DET\|PronType=Ind`, `POS=DET\|PronType=Int,Rel`, `AdvType=Tim\|POS=ADV`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Qest`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Qest`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Degree=Abs\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Dat\|Number=Plur\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Excl`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Excl`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Degree=Abs\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Pre\|PronType=Prs`, `Case=Acc,Dat\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Fin`, `Definite=Ind\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SCONJ\|PronType=Int,Rel`, `Case=Acc\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=SYM`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin`, `NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Abs\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Fem\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Ind`, `NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Com\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Pre\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Pre\|PronType=Prs`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=NOUN\|VerbForm=Fin`, `Case=Acc,Dat\|Mood=Imp\|Number=Plur,Sing\|POS=VERB\|Person=1,2\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Number=Sing\|POS=VERB\|VerbForm=Fin`, `POS=VERB\|VerbForm=Fin`, `Degree=Abs\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Abs\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Dat\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Ger`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `AdpType=Prep\|Degree=Cmp\|POS=ADV`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Acc,Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Gender=Masc\|Number=Sing\|POS=AUX\|VerbForm=Fin`, `Case=Acc,Dat\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=1,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Ind`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Plur\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|PunctType=Quot\|VerbForm=Inf`, `Case=Com\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Reflex=Yes`, `NumForm=Digit\|NumType=Frac\|POS=SYM`, `Case=Dat\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Ind`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Number=Sing\|POS=PRON\|PronType=Tot`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbForm=Fin`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Int,Rel`, `Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `AdvType=Tim\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Ind`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Ind`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=NOUN\|VerbForm=Part`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Ind`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Com\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Pre\|PronType=Prs`, `POS=X`, `Case=Com\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=ADP`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=AUX\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Ind`, `Case=Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Ger`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=NOUN\|PunctType=Comm`, `Degree=Cmp\|POS=ADJ`, `Gender=Masc\|POS=ADJ`, `Degree=Abs\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `POS=PRON\|PronType=Neg`, `Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Ind`, `Number=Sing\|POS=DET\|PronType=Int,Rel` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl:pass`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `5`, `6`, `8`, `10`, `14`, `16`, `18`, `20`, `22`, `24`, `25`, `27`, `29`, `33`, `36`, `38`, `40`, `42`, `45`, `48`, `50`, `54`, `57`, `59`, `60`, `62`, `64`, `66`, `68`, `71`, `73`, `75`, `77`, `81`, `83`, `85`, `87`, `88`, `91`, `93`, `95`, `97`, `99`, `100`, `102`, `104`, `106`, `108`, `110`, `112`, `114`, `115`, `117`, `119`, `120`, `122`, `49`, `125`, `126`, `128`, `130`, `134`, `138`, `140`, `143`, `145`, `146`, `148`, `150`, `151`, `153`, `156`, `158`, `160`, `162`, `164`, `167`, `170`, `171`, `173`, `177`, `178`, `179`, `181`, `182`, `184`, `186`, `187`, `188`, `191`, `193`, `195`, `198`, `201`, `202`, `13`, `204`, `206`, `208`, `210`, `214`, `216`, `218`, `221`, `223`, `224`, `226`, `228`, `230`, `232`, `234`, `235`, `237`, `239`, `241`, `242`, `244`, `248`, `250`, `254`, `257`, `258`, `260`, `261`, `262`, `264`, `265`, `266`, `267`, `269`, `271`, `273`, `277`, `278`, `280`, `284`, `286`, `288`, `289`, `290`, `291`, `293`, `296`, `298`, `300`, `302`, `304`, `306`, `308`, `309`, `313`, `315`, `319`, `321`, `322`, `323`, `324`, `325`, `327`, `328`, `330`, `332`, `336`, `338`, `339`, `341`, `342`, `343`, `345`, `347`, `348`, `350`, `351`, `352`, `354`, `355`, `357`, `359`, `361`, `363`, `365`, `367`, `370`, `372`, `375`, `377`, `379`, `382`, `385`, `389`, `391`, `393`, `395`, `397`, `398`, `400`, `402`, `404`, `408`, `410`, `413`, `415`, `416`, `418`, `419`, `420`, `422`, `424`, `427`, `429`, `431`, `433`, `434`, `435`, `436`, `438`, `440`, `441`, `443`, `445`, `447`, `448`, `450`, `451`, `452`, `454`, `456`, `457`, `458`, `460`, `462`, `463`, `465`, `466`, `468`, `470`, `473`, `477`, `478`, `480`, `481`, `483`, `485`, `489`, `491`, `492`, `494`, `496`, `498`, `500`, `501`, `504`, `505`, `506`, `507`, `509`, `511`, `514`, `516`, `519`, `521`, `522`, `524`, `526`, `528`, `532`, `535`, `538`, `541`, `543`, `545`, `546`, `548`, `550`, `554`, `555`, `557`, `559`, `560`, `561`, `562`, `564`, `565`, `567`, `569`, `571`, `572`, `573`, `575`, `576`, `579`, `582`, `584`, `586`, `589`, `590`, `591`, `592`, `595`, `596`, `597`, `599`, `600`, `601`, `603`, `606`, `607`, `608`, `610`, `615`, `617`, `618`, `622`, `624`, `625`, `626`, `627`, `629`, `631`, `633`, `585`, `634`, `636`, `637`, `638`, `639`, `643`, `644`, `646`, `647`, `648`, `650`, `651`, `653`, `654`, `657`, `658`, `660`, `662`, `663`, `667`, `669`, `671`, `673`, `674`, `678`, `680`, `683`, `684`, `685`, `686`, `688`, `689`, `692`, `693`, `695`, `696`, `697`, `699`, `701`, `702`, `704`, `707`, `709`, `711`, `712`, `714`, `715`, `717`, `718`, `719`, `720`, `722`, `725`, `728`, `730`, `732`, `733`, `734`, `735`, `736`, `738`, `739`, `740`, `741`, `743`, `745`, `748`, `750`, `752`, `753`, `755`, `756`, `759`, `760`, `763`, `764`, `765`, `766`, `768`, `770`, `772`, `773`, `774`, `775`, `776`, `778`, `779`, `780`, `783`, `785`, `786`, `788`, `791`, `793`, `795`, `797`, `798`, `800`, `803`, `804`, `805`, `807`, `808`, `810`, `813`, `816`, `819`, `821`, `823`, `824`, `825`, `826`, `829`, `832`, `833`, `836`, `129`, `837`, `838`, `839`, `843`, `845`, `846`, `848`, `849`, `851`, `852`, `853`, `855`, `856`, `857`, `858`, `862`, `864`, `866`, `868`, `869`, `873`, `875`, `877`, `878`, `879`, `882`, `884`, `886`, `888`, `890`, `891`, `892`, `893`, `895`, `897`, `898`, `900`, `902`, `904`, `906`, `907`, `909`, `910`, `912`, `914`, `915`, `916`, `918`, `920`, `921`, `923`, `924`, `926`, `928`, `930`, `931`, `933`, `935`, `936`, `937`, `939`, `940`, `943`, `944`, `945`, `946`, `947`, `949`, `951`, `952`, `953`, `955`, `956`, `957`, `0`, `959`, `961`, `963`, `965`, `966`, `968`, `969`, `970`, `972`, `973`, `975`, `976`, `978`, `979`, `980`, `982`, `983`, `984`, `986`, `987`, `989`, `990`, `993`, `995`, `996`, `997`, `1000`, `1003`, `1004`, `1006`, `1007`, `1008`, `1010`, `1012`, `1013`, `1014`, `1015`, `1017`, `1018`, `1021`, `1025`, `1027`, `1029`, `1030`, `1032`, `1034`, `1035`, `1036`, `1038`, `1039`, `1041`, `1043`, `1044`, `1045`, `1046`, `1047`, `1049`, `1050`, `1052`, `1053`, `1054`, `1055`, `1056`, `1057`, `1058`, `1060`, `1061`, `1063`, `1065`, `1067`, `1069`, `1070`, `1072`, `1075`, `1076`, `1077`, `1078`, `1079`, `1080`, `1081`, `1082`, `1085`, `1086`, `1088`, `1090`, `1091`, `1092`, `1093`, `1094`, `1096`, `1097`, `1100`, `1101`, `1103`, `1104`, `1106`, `1108`, `1109`, `1111`, `1112`, `1114`, `1115`, `1116`, `598`, `26`, `1117`, `1118`, `1119`, `1121`, `1122`, `1123`, `1124`, `1125`, `1127`, `1128`, `1130`, `1132`, `1133`, `1135`, `1137`, `1139`, `1140`, `1141`, `1142`, `1144`, `1147`, `1151`, `1152`, `1153`, `1155`, `1157`, `1160`, `1162`, `1163`, `1165`, `1166`, `1170`, `1171`, `1173`, `1175`, `1177`, `1179`, `1180`, `1183`, `1185`, `1186`, `1188`, `1189`, `1191`, `1192`, `1193`, `1196`, `65`, `1197`, `1198`, `1202`, `1204`, `1206`, `1208`, `1209`, `1210`, `1213`, `1214`, `1215`, `1218`, `1220`, `1221`, `1223`, `1225`, `1226`, `1228`, `1230`, `1232`, `1233`, `1235`, `1236`, `1237`, `1238`, `1241`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.98 |
| `TOKEN_P` | 99.98 |
| `TOKEN_R` | 99.99 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 97.99 |
| `SENTS_P` | 97.43 |
| `SENTS_R` | 98.55 |
| `TAG_ACC` | 98.92 |
| `POS_ACC` | 99.03 |
| `MORPH_ACC` | 97.96 |
| `DEP_UAS` | 93.99 |
| `DEP_LAS` | 91.95 |
| `LEMMA_ACC` | 98.93 |
|
{"language": ["es"], "license": "gpl-3.0", "tags": ["spacy", "token-classification"]}
|
explosion/es_udv25_spanishancora_trf
| null |
[
"spacy",
"token-classification",
"es",
"license:gpl-3.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Finnish-TDT
| Feature | Description |
| --- | --- |
| **Name** | `fi_udv25_finnishtdt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (12912 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `A`, `Adj`, `Adp`, `Adv`, `Adv_V`, `C`, `C_V`, `Foreign`, `Interj`, `N`, `Num`, `Pron`, `Punct`, `Symb`, `V`, `V_Pron` |
| **`morphologizer`** | `Case=Nom\|Number=Sing\|POS=NOUN`, `NumType=Ord\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=U\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=ADJ`, `POS=CCONJ`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Par\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Case=Nom\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `POS=SCONJ`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Number=Sing\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Kin\|POS=ADV`, `Case=Gen\|Number=Plur\|POS=PROPN`, `Case=Ess\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `POS=ADJ`, `Case=Gen\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Sing\|POS=PROPN`, `Case=Par\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=All\|Derivation=U\|Number=Sing\|POS=NOUN`, `AdpType=Post\|POS=ADP`, `Case=Nom\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Abl\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ine\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Par\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Par\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Tra\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `InfForm=1\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Derivation=Sti\|POS=ADV`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ine\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=All\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ill\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=All\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=All\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Foreign=Yes\|POS=X`, `Clitic=Ka\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Tra\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=All\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Derivation=Ja\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ine\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON`, `Case=Nom\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ade\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Derivation=Ttain\|POS=ADV`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=All\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ela\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|Number=Plur\|POS=NOUN`, `Case=Com\|POS=NOUN\|Person[psor]=3`, `Case=Com\|POS=PRON\|Person[psor]=3\|PronType=Ind`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=1`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ill\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=SCONJ\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `AdpType=Post\|POS=ADP\|Person[psor]=3`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ill\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=All\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Abbr=Yes\|Case=Ine\|Number=Sing\|POS=NOUN`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Number=Plur\|POS=NOUN`, `Case=Nom\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Par\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=PROPN\|Style=Coll`, `Abbr=Yes\|Case=Par\|Number=Sing\|POS=NOUN`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ess\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PROPN`, `Case=Par\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=VERB\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `NumType=Card\|POS=NUM`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ill\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|InfForm=2\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Dem`, `Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Clitic=Ko\|Number=Sing\|POS=SCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Dem`, `Connegative=Yes\|Mood=Cnd\|POS=AUX\|VerbForm=Fin`, `Case=Ela\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Gen\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `POS=SYM`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Rel`, `Clitic=Ka\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ess\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=SCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|POS=ADV`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ade\|Derivation=U\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADV`, `Case=Ine\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=All\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `POS=ADV\|Typo=Yes`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Derivation=Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `AdpType=Prep\|POS=ADP`, `Case=Par\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `POS=INTJ`, `Case=Nom\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ess\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Ine\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ela\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Par\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Ela\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Abl\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Abl\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Tra\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Abe\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Tra\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Nom\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=All\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Abl\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=Nom\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Clitic=Kin\|Mood=Cnd\|POS=AUX\|VerbForm=Fin\|Voice=Pass`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Ind`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=PROPN`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Derivation=Sti\|POS=ADV\|Typo=Yes`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ill\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Tar\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Kin\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Par\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ade\|Number=Sing\|POS=PROPN`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ess\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Clitic=Ka\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Ill\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Par\|Number=Sing\|POS=PROPN`, `Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=PROPN`, `Case=Nom\|Clitic=Pa\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=ADJ\|Typo=Yes`, `POS=ADV\|Style=Coll`, `Case=All\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Tra\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Number=Sing\|POS=NOUN\|Style=Coll`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Dem\|Typo=Yes`, `Case=Ine\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Par\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|NumType=Card\|Number=Plur\|POS=NUM\|Typo=Yes`, `Clitic=Ko\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Case=Ill\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ela\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Abbr=Yes\|Case=Abl\|Number=Sing\|POS=PROPN`, `Case=Abl\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Ade\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|NumType=Card\|Number=Plur\|POS=NUM\|Typo=Yes`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Han\|POS=ADV`, `Case=Par\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Llinen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Abl\|Number=Plur\|POS=NOUN`, `Case=Abl\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=All\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Par\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Ela\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Gen\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Tra\|InfForm=1\|Number=Sing\|POS=VERB\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=All\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|Case=Ade\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Nom\|Clitic=Kin\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=SCONJ\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Ill\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=All\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ela\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Gen\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ess\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Degree=Sup\|Derivation=Sti\|POS=ADV`, `Case=Ine\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Ess\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Par\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|PronType=Rcp`, `Case=Par\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Ill\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=All\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ins\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Tra\|Clitic=Kin\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ess\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Tra\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Par\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ess\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Com\|Derivation=U\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=All\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Kaan\|Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Ade\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Abl\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Abe\|InfForm=3\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Rel\|Typo=Yes`, `Degree=Cmp\|Derivation=Sti\|POS=ADV`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Derivation=Ja,Tar\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Sup\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Kin\|InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ela\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Ine\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ill\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Abe\|Clitic=Kaan\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Abl\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Abl\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ess\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Tra\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin`, `Case=Abl\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Gen\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ine\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|POS=CCONJ`, `Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `POS=NUM`, `Case=Par\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Degree=Cmp\|POS=ADV`, `Case=Ine\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Ela\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ill\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Abbr=Yes\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ela\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Par\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ade\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Clitic=Han\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ela\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Par\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Tra\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Abl\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Abe\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=All\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Sing\|POS=PROPN`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Pot\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=NOUN`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=INTJ`, `Case=Ade\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Dem`, `Clitic=Pa\|POS=ADV`, `Case=Nom\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Mood=Pot\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Ela\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=Gen\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Plur\|POS=PROPN`, `Case=Gen\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Ill\|POS=PRON\|PronType=Rel`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=All\|Number=Sing\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|POS=SCONJ`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Nom\|Number=Plur\|POS=PRON\|Reflex=Yes`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Gen\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Ade\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Abbr=Yes\|Case=Par\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Cnd\|POS=AUX\|Style=Coll\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ill\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|NumType=Card\|Number=Sing\|POS=NUM\|Style=Coll`, `Case=Ill\|Clitic=Kaan\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Number[psor]=Plur\|POS=ADV\|Person[psor]=1`, `Abbr=Yes\|Case=Ine\|Number=Sing\|POS=PROPN`, `Case=Ela\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=All\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Par\|Degree=Cmp\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Llinen\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Plur\|POS=ADP\|Person[psor]=1\|Style=Coll`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=All\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Par\|Number=Plur\|POS=PROPN`, `Case=Par\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Number=Plur\|POS=NOUN\|Style=Coll`, `Clitic=Ka\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=VERB\|Style=Coll\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Abbr=Yes\|Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|Case=Ela\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Com\|Number=Plur\|POS=PROPN\|Person[psor]=3`, `Case=Ess\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Par\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Abl\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Clitic=Kaan\|NumType=Card\|Number=Sing\|POS=NUM`, `InfForm=1\|Number=Sing\|POS=VERB\|Style=Coll\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Clitic=Kaan\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Case=Nom\|Number=Sing\|POS=PROPN`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Par\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Number=Sing\|POS=ADJ\|Style=Coll`, `POS=INTJ\|Style=Coll`, `Case=Ill\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Mood=Ind\|POS=VERB\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Pass`, `Case=Par\|NumType=Ord\|Number=Sing\|POS=ADJ\|Style=Coll`, `Number=Plur\|POS=SCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Style=Coll\|Tense=Pres\|VerbForm=Fin`, `Case=Tra\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Com\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Abl\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ill\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Tra\|Number=Plur\|POS=NOUN`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Plur\|POS=AUX\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Par\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Style=Coll`, `Case=Ade\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ill\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ill\|NumType=Ord\|Number=Sing\|POS=ADJ`, `AdpType=Post\|POS=ADP\|Typo=Yes`, `Case=Ill\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Par\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=2\|VerbForm=Inf\|Voice=Act`, `Case=Tra\|Degree=Cmp\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Ade\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ine\|InfForm=3\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|Clitic=Kin\|Derivation=U\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|InfForm=2\|POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Ill\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=2\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=NOUN\|Style=Coll`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|Style=Coll\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Style=Coll`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ela\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Abl\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Ela\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Ela\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ela\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Connegative=Yes\|Mood=Pot\|POS=AUX\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|PronType=Prs\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko,S\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|POS=ADV`, `Case=Par\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=NUM`, `POS=NOUN\|Typo=Yes`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Ine\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Clitic=Kin\|POS=SCONJ`, `Case=Nom\|Clitic=Kin\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Clitic=Kaan\|Derivation=Sti\|POS=ADV`, `Case=Ill\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ess\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PROPN`, `Case=Ine\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=CCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Par\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Clitic=Ka\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|NumType=Ord\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Gen\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Par\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Kin\|InfForm=1\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Gen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Han\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|POS=AUX\|VerbForm=Fin\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=ADJ\|Person[psor]=1`, `Case=Par\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Past\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=All\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|Person[psor]=3\|PronType=Ind`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Ind`, `Clitic=Kaan\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Derivation=Llinen,Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ade\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Derivation=U\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Sup\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Tra\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Tra\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=PROPN`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Rel`, `Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `POS=NOUN`, `Case=All\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ela\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ill\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Abe\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Derivation=Sti\|POS=ADV`, `Case=Ine\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=PRON`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Clitic=Ka\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|PronType=Ind`, `Case=Gen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ins\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Derivation=Inen,Vs\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=All\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Par\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Par\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ill\|Degree=Cmp\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=ADV\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Plur\|POS=AUX\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Abl\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ill\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Ine\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Case=Ade\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Tra\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Derivation=Minen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Degree=Pos\|POS=ADJ`, `Case=Ela\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ela\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=All\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Mood=Pot\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|Person[psor]=3`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Mood=Pot\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Com\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=All\|Derivation=Ja\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Derivation=Vs\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ess\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ess\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Clitic=Han\|Degree=Pos\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=All\|Derivation=Ja\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Ill\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Nom\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Pa\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Par\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Abbr=Yes\|Case=Ela\|Number=Plur\|POS=NOUN`, `Case=All\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Clitic=Kaan\|Number=Sing\|POS=NUM\|PronType=Ind`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Par\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Ine\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Sup\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Clitic=Ko\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Ine\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Tra\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ade\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Abl\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ade\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Han\|Number=Plur\|POS=NOUN`, `Case=Ela\|Number=Plur\|POS=PROPN`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Par\|Derivation=Ja\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `AdpType=Post\|Clitic=Kin\|POS=ADP`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Nom\|Number=Plur\|POS=PRON`, `Case=Par\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PROPN`, `Case=All\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Abe\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=All\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=All\|Derivation=Lainen\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Gen\|Derivation=Lainen\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Abe\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Degree=Sup\|POS=ADV`, `Case=Tra\|Degree=Cmp\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=NUM`, `Number=Plur\|POS=ADV\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Cnd\|POS=AUX\|Typo=Yes\|VerbForm=Fin`, `Number=Sing\|POS=ADV\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Typo=Yes`, `Case=Ill\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Clitic=Kaan\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Abl\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Dem\|Typo=Yes`, `Clitic=Han\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=2`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Par\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Ind\|Typo=Yes`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ine\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ine\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Abl\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Tra\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ill\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Gen\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|PronType=Rcp`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ela\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Gen\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Ine\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Gen\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Ine\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Number=Plur\|POS=PRON\|PronType=Ind`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=2`, `Case=All\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Plur\|POS=ADP\|Person[psor]=2`, `Number=Sing\|POS=CCONJ\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `POS=CCONJ\|Style=Coll`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=SCONJ\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Tra\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Clitic=Kaan\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ade\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=PRON`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=All\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=U\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ela\|Clitic=Kin\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Par\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Tra\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Arch`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Number=Plur\|POS=CCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Connegative=Yes\|Mood=Ind\|POS=AUX\|Style=Coll\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Clitic=Pa\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Ja\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ess\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=AUX\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Tra\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Abe\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Clitic=Ko\|InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Clitic=Kaan\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Inen,Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Case=Tra\|InfForm=1\|Number=Sing\|POS=AUX\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Int\|Style=Coll`, `Case=Par\|Number=Sing\|POS=NUM`, `Case=Ess\|NumType=Ord\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=1\|Style=Coll\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ess\|Clitic=Kin\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ka\|Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Ind\|Style=Coll`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Ine\|Clitic=Kaan\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=NUM`, `Case=All\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ade\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Ade\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Pa\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ine\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Com\|Degree=Pos\|POS=ADJ`, `Case=Abl\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Ko\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Pot\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Number=Plur\|POS=VERB\|Person=0\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Ill\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `InfForm=1\|Number=Sing\|POS=VERB\|Style=Arch\|VerbForm=Inf\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Minen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Int\|Typo=Yes`, `Clitic=Han,Pa\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abe\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Han\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=All\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `POS=INTJ\|Typo=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PROPN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Han,Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Cmp\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=SCONJ\|Style=Coll`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=1`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Pa\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=2\|Style=Coll`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Connegative=Yes\|Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Pres\|VerbForm=Fin`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=All\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=All\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=Tra\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Nom\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=0\|VerbForm=Fin\|Voice=Act`, `Clitic=Han,Pa\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ade\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Par\|Number=Sing\|POS=PROPN\|Style=Coll`, `Clitic=Kin\|POS=ADV\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Derivation=Sti\|POS=ADV\|Style=Coll`, `Case=Abl\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Clitic=Ko\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Style=Coll`, `Case=Nom\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=1\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=Ins\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=PROPN`, `Clitic=Pa\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=All\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Clitic=Han\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Clitic=Pa\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Number=Sing\|POS=PRON`, `Case=Gen\|Number=Plur\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Par\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Clitic=Kaan\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Clitic=Kaan\|Connegative=Yes\|Mood=Cnd\|POS=AUX\|VerbForm=Fin`, `Clitic=S\|POS=ADV`, `Case=Gen\|Clitic=Ko\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=All\|Clitic=Kaan\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Ins\|InfForm=2\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Ine\|Clitic=Kaan\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Number=Plur\|POS=ADV\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Ade\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ade\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ess\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Par\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Clitic=Han,Ko\|POS=ADV`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=2`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Clitic=Ka\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Ko\|Derivation=Sti\|POS=ADV`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `Case=Nom\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Ess\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Ela\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=2\|Reflex=Yes`, `Case=Acc\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ess\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ill\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ela\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ko,S\|POS=ADV\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Int\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=NOUN\|Style=Coll`, `Clitic=Ko\|POS=ADV\|Style=Coll`, `Case=Nom\|Derivation=U\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|Style=Coll\|VerbForm=Fin`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Abl\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Par\|Degree=Cmp\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Ind\|Typo=Yes`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Abl\|NumType=Card\|Number=Sing\|POS=NUM`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Ill\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Rcp\|Typo=Yes`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Par\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `POS=ADV\|Person[psor]=3\|Typo=Yes`, `Clitic=Pa\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Par\|Clitic=Kaan\|NumType=Card\|Number=Sing\|POS=NUM`, `Clitic=Pa,S\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Clitic=Han,Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Pot\|POS=VERB\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Number[psor]=Plur\|POS=ADV\|Person[psor]=2`, `Mood=Pot\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Abl\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Clitic=Pa\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ine\|Number=Plur\|POS=PROPN`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Case=All\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PROPN\|Style=Coll`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ade\|Derivation=Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Clitic=Kaan\|POS=ADV\|Style=Coll`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Pa\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ess\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Ko\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Nom\|Clitic=Han,Ko\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Ade\|Number=Sing\|POS=PROPN\|Style=Coll`, `Case=Ess\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Ill\|Clitic=Kaan\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Ela\|Clitic=Ko\|Number=Sing\|POS=PROPN`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Ine\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Number=Sing\|POS=NUM`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Clitic=S\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Pass`, `Case=Abl\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Case=Ill\|Number=Sing\|POS=PRON`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Clitic=Ko,S\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Ela\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Clitic=Kin\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `AdpType=Post\|POS=ADP\|Style=Coll`, `Case=Gen\|Number=Plur\|POS=NUM`, `Case=Ela\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Par\|NumType=Card\|Number=Sing\|POS=NUM\|Style=Coll`, `Case=Gen\|Derivation=Ton\|Number=Plur\|POS=NOUN`, `Case=Nom\|Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|PronType=Prs\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=All\|Clitic=Pa\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Clitic=Kaan\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Gen\|Clitic=Kin\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Han\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Abl\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=All\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Ko\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ine\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=NOUN\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=SCONJ\|Person=1\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Abl\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Par\|Clitic=Ko\|Number=Sing\|POS=NOUN`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ade\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|Person[psor]=2\|VerbForm=Inf\|Voice=Act`, `Clitic=Han\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Nom\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ela\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Clitic=Pa,S\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Han\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes\|Style=Coll`, `Case=Par\|Clitic=Kin\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ine\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Ine\|Derivation=Vs\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Par\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Par\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Ine\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Gen\|Degree=Sup\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=2\|Reflex=Yes`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Rel\|Style=Coll`, `Clitic=Pa,S\|POS=ADV`, `Case=Ess\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Plur\|POS=PROPN`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Clitic=Han\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa,S\|Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Han,Ko\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=PRON`, `Case=Nom\|Clitic=Kaan\|POS=PRON\|PronType=Ind`, `Clitic=Pa\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Int\|Style=Coll`, `Connegative=Yes\|Mood=Pot\|POS=AUX\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Number=Plur\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Gen\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Imp\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Clitic=Han\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Plur\|POS=PRON`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=0\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ess\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Degree=Sup\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Com\|Derivation=Ja\|POS=NOUN\|Person[psor]=3`, `Clitic=Pa,S\|Mood=Ind\|POS=AUX\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ade\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=PRON\|Person[psor]=3`, `Case=Ade\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Derivation=Lainen\|Number=Sing\|POS=PROPN`, `Case=Nom\|Number=Sing\|POS=ADJ`, `Case=Ins\|Number=Plur\|POS=PROPN`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Gen\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Acc\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Nom\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ela\|Clitic=Kaan\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Ill\|NumType=Card\|Number=Sing\|POS=NUM\|Style=Coll`, `Case=Ine\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Tra\|Clitic=Kin\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Sing\|POS=PROPN\|Style=Coll`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Ine\|Number=Plur\|POS=NOUN\|Style=Coll`, `Clitic=Kaan\|InfForm=1\|Number=Sing\|POS=VERB\|Style=Coll\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=NOUN\|Style=Coll`, `Clitic=Han,Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|PronType=Prs\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Pass`, `Case=Ela\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=All\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ela\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|POS=VERB\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Pass`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Rel`, `POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|POS=ADJ`, `Case=Ess\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Tra\|NumType=Card\|Number=Sing\|POS=NUM`, `Clitic=Pa\|Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Tra\|Number=Sing\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Tra\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Case=All\|Number=Sing\|POS=PROPN`, `Case=All\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|NumType=Ord\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `POS=X`, `Case=Par\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Gen\|Derivation=Inen\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=All\|Clitic=Kin\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=All\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Clitic=Kin\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ade\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Typo=Yes`, `Case=Nom\|Clitic=Kin\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Par\|NumType=Ord\|POS=ADJ`, `Case=Par\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Ja\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ade\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Ess\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Abl\|Degree=Pos\|Derivation=Ja\|Number=Plur\|POS=ADJ`, `Case=Tra\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Abbr=Yes\|Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ill\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=2`, `Case=Nom\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=AUX\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=NUM`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Cmp\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ins\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Derivation=Ton\|Number=Plur\|POS=NOUN`, `Case=Ade\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Tra\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Degree=Cmp\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Clitic=Kin\|InfForm=2\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Ela\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Gen\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Par\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Abl\|Clitic=Pa\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Pa,S\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Number=Sing\|POS=PROPN`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Clitic=Han\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=PRON`, `Case=All\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `AdpType=Post\|Clitic=Kaan\|POS=ADP`, `AdpType=Prep\|POS=ADP\|Person[psor]=3`, `Case=Ine\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ine\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Lainen\|Number=Plur\|POS=ADJ\|Style=Coll`, `AdpType=Prep\|Clitic=Kaan\|POS=ADP`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PROPN`, `Clitic=Pa\|InfForm=1\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Ade\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ill\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kaan\|Number=Sing\|POS=PROPN`, `Case=Com\|Clitic=Kin\|Derivation=U\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=2\|Reflex=Yes`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Clitic=Kin\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ade\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Gen\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ill\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Vs\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Degree=Cmp\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Ind\|Typo=Yes`, `Case=Ela\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Sup\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Ess\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Clitic=Kin\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Ela\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Com\|Degree=Pos\|Derivation=Inen\|POS=ADJ`, `Case=Com\|Degree=Pos\|Derivation=Llinen\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Number=Sing\|POS=NUM`, `Abbr=Yes\|Case=Ill\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Tra\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Tar\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Tar\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Clitic=Kin\|Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Plur\|POS=PRON`, `Case=Ill\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Rel\|Typo=Yes`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ess\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Ade\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Derivation=Lainen\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `POS=PROPN\|Typo=Yes`, `Case=All\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Abbr=Yes\|Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Lainen\|Number=Sing\|POS=PROPN`, `Case=Ela\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Abl\|Number=Plur\|POS=PROPN`, `Case=Ess\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Abbr=Yes\|Case=Tra\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Tra\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=Abl\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Sup\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Cmp\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Clitic=Kin\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADJ`, `Case=Ine\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Par\|Derivation=Tar\|Number=Sing\|POS=NOUN`, `Case=Ela\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Ela\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `POS=CCONJ\|Typo=Yes`, `Case=All\|Number=Sing\|POS=PRON`, `Case=Ess\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Ine\|POS=SYM`, `Abbr=Yes\|Case=Ess\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Abbr=Yes\|Case=Nom\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ade\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Cmp\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Tra\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Abl\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Nom\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|Clitic=Kaan\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=PROPN`, `Case=Par\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Ade\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=All\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PROPN`, `Case=Par\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Tra\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Abbr=Yes\|Case=Tra\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|InfForm=3\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Degree=Sup\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=All\|NumType=Ord\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Par\|NumType=Card\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Nom\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Ill\|Number=Plur\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Tra\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ess\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PRON`, `Case=Ill\|Clitic=Kin\|Number=Plur\|POS=PRON`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Ill\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Ade\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Tra\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Typo=Yes`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Tra\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Degree=Sup\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Tra\|Degree=Sup\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Degree=Pos\|Derivation=Lainen\|POS=ADJ`, `Abbr=Yes\|Case=Par\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Abl\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Par\|Number=Sing\|POS=PROPN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Tar\|Number=Plur\|POS=NOUN`, `Case=Nom\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Degree=Sup\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `InfForm=1\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Ade\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Abl\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=All\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ine\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=PROPN`, `Abbr=Yes\|Case=Nom\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=PROPN\|Person[psor]=3`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Par\|POS=SYM`, `Case=Ine\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Mood=Pot\|POS=VERB\|Typo=Yes\|VerbForm=Fin\|Voice=Pass`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Par\|Number=Plur\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Tra\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ade\|Number=Sing\|POS=NUM`, `Case=Par\|Derivation=Ton\|Number=Plur\|POS=NOUN`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Ine\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=PRON\|PronType=Ind` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:nn`, `compound:prt`, `conj`, `cop`, `cop:own`, `csubj`, `csubj:cop`, `dep`, `det`, `discourse`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `goeswith`, `mark`, `nmod`, `nmod:gobj`, `nmod:gsubj`, `nmod:poss`, `nsubj`, `nsubj:cop`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp`, `xcomp:ds` |
| **`experimental_edit_tree_lemmatizer`** | `3`, `4`, `7`, `10`, `13`, `15`, `19`, `21`, `23`, `25`, `29`, `35`, `40`, `41`, `45`, `48`, `50`, `52`, `55`, `57`, `59`, `61`, `64`, `67`, `71`, `73`, `75`, `77`, `80`, `85`, `86`, `90`, `92`, `94`, `96`, `99`, `101`, `103`, `104`, `106`, `109`, `111`, `112`, `114`, `117`, `120`, `123`, `127`, `130`, `134`, `136`, `138`, `141`, `145`, `147`, `149`, `151`, `153`, `157`, `158`, `160`, `161`, `163`, `166`, `168`, `170`, `173`, `175`, `177`, `179`, `181`, `184`, `187`, `191`, `194`, `198`, `199`, `201`, `202`, `205`, `207`, `210`, `212`, `214`, `217`, `218`, `222`, `224`, `226`, `228`, `230`, `232`, `234`, `236`, `239`, `241`, `243`, `246`, `249`, `251`, `253`, `254`, `256`, `258`, `260`, `261`, `264`, `267`, `269`, `271`, `273`, `274`, `278`, `281`, `282`, `284`, `286`, `289`, `291`, `292`, `294`, `299`, `301`, `304`, `306`, `308`, `310`, `313`, `316`, `317`, `320`, `322`, `327`, `329`, `334`, `336`, `338`, `340`, `344`, `345`, `348`, `350`, `352`, `354`, `357`, `359`, `362`, `363`, `365`, `366`, `367`, `368`, `369`, `370`, `372`, `375`, `377`, `380`, `382`, `385`, `387`, `389`, `390`, `392`, `395`, `397`, `400`, `403`, `406`, `408`, `411`, `413`, `415`, `417`, `419`, `421`, `423`, `425`, `428`, `431`, `433`, `436`, `438`, `440`, `442`, `443`, `446`, `448`, `451`, `453`, `455`, `457`, `459`, `461`, `463`, `466`, `469`, `471`, `473`, `476`, `477`, `481`, `482`, `484`, `488`, `490`, `491`, `495`, `498`, `501`, `503`, `506`, `509`, `513`, `515`, `517`, `519`, `521`, `523`, `526`, `528`, `529`, `531`, `533`, `535`, `537`, `538`, `539`, `542`, `544`, `546`, `548`, `551`, `553`, `556`, `558`, `562`, `564`, `566`, `568`, `570`, `574`, `576`, `578`, `582`, `584`, `586`, `588`, `591`, `593`, `595`, `596`, `598`, `600`, `601`, `602`, `604`, `606`, `608`, `609`, `435`, `610`, `611`, `614`, `616`, `617`, `620`, `622`, `625`, `626`, `628`, `630`, `631`, `633`, `635`, `637`, `638`, `640`, `641`, `643`, `645`, `646`, `650`, `651`, `653`, `655`, `657`, `659`, `660`, `664`, `667`, `671`, `672`, `674`, `677`, `681`, `683`, `684`, `686`, `687`, `689`, `691`, `693`, `695`, `698`, `701`, `703`, `705`, `707`, `710`, `713`, `716`, `720`, `723`, `725`, `726`, `730`, `731`, `734`, `736`, `738`, `739`, `741`, `744`, `748`, `749`, `750`, `752`, `755`, `757`, `759`, `761`, `762`, `763`, `767`, `769`, `772`, `774`, `777`, `780`, `781`, `782`, `784`, `785`, `787`, `788`, `790`, `792`, `793`, `794`, `797`, `799`, `802`, `803`, `805`, `807`, `810`, `388`, `811`, `813`, `815`, `817`, `821`, `823`, `824`, `826`, `828`, `829`, `831`, `832`, `833`, `834`, `836`, `838`, `840`, `842`, `844`, `845`, `847`, `849`, `852`, `855`, `857`, `861`, `863`, `865`, `867`, `868`, `870`, `872`, `875`, `876`, `878`, `879`, `881`, `883`, `886`, `888`, `890`, `891`, `892`, `895`, `896`, `898`, `900`, `903`, `907`, `910`, `912`, `914`, `915`, `917`, `920`, `921`, `924`, `926`, `928`, `930`, `932`, `934`, `937`, `940`, `941`, `943`, `944`, `945`, `946`, `947`, `949`, `952`, `954`, `956`, `960`, `963`, `966`, `969`, `971`, `972`, `974`, `977`, `978`, `981`, `983`, `985`, `987`, `990`, `991`, `993`, `995`, `996`, `999`, `1002`, `1006`, `1008`, `1011`, `1013`, `1016`, `1018`, `1020`, `1022`, `1024`, `1026`, `1028`, `1030`, `1032`, `1034`, `1036`, `1038`, `1040`, `1043`, `1044`, `1046`, `1048`, `1051`, `1054`, `1056`, `1057`, `1060`, `1062`, `1064`, `1066`, `1067`, `1069`, `1071`, `1074`, `1077`, `1078`, `1081`, `1084`, `1086`, `1087`, `1089`, `1091`, `1093`, `1095`, `1096`, `1098`, `1100`, `1101`, `1103`, `1104`, `1106`, `1108`, `1111`, `1114`, `1116`, `1118`, `1119`, `1121`, `1123`, `1125`, `1127`, `1128`, `1133`, `1136`, `1139`, `1141`, `1143`, `1146`, `1149`, `1150`, `1151`, `1153`, `1156`, `1157`, `1159`, `1161`, `1163`, `1167`, `1169`, `1171`, `1172`, `1174`, `1176`, `1180`, `1181`, `1184`, `1186`, `1189`, `1190`, `1193`, `1195`, `1197`, `1199`, `1202`, `1204`, `1205`, `1206`, `1207`, `1209`, `1210`, `1212`, `1214`, `1218`, `1220`, `1222`, `1224`, `1225`, `1227`, `1229`, `1230`, `1232`, `1235`, `1236`, `1238`, `1239`, `1241`, `1245`, `1246`, `1248`, `1249`, `1251`, `1252`, `1253`, `1255`, `1256`, `1259`, `1260`, `1262`, `1263`, `1265`, `1268`, `1269`, `1271`, `1272`, `1275`, `1276`, `1277`, `1279`, `1280`, `1283`, `1285`, `1286`, `1289`, `1291`, `1294`, `1295`, `1298`, `1300`, `1302`, `1304`, `1306`, `1308`, `1311`, `1312`, `1313`, `1314`, `1316`, `1317`, `1318`, `1320`, `1322`, `1323`, `1325`, `1327`, `1330`, `1332`, `1334`, `1339`, `1341`, `1344`, `1345`, `1347`, `1349`, `1352`, `1355`, `1356`, `1360`, `1363`, `1365`, `1367`, `1368`, `1369`, `1372`, `1374`, `1376`, `1377`, `1379`, `1380`, `1382`, `1384`, `1386`, `1389`, `1391`, `1392`, `1393`, `1396`, `1399`, `1400`, `1401`, `1403`, `1405`, `1406`, `1408`, `1411`, `1414`, `1416`, `1417`, `1419`, `1420`, `1422`, `1423`, `1425`, `1428`, `1430`, `1433`, `1436`, `1437`, `1439`, `1442`, `1444`, `1446`, `1449`, `1451`, `1454`, `1456`, `1457`, `1459`, `1461`, `1462`, `1464`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.79 |
| `TOKEN_P` | 99.79 |
| `TOKEN_R` | 99.80 |
| `TOKEN_ACC` | 99.97 |
| `SENTS_F` | 96.20 |
| `SENTS_P` | 96.95 |
| `SENTS_R` | 95.45 |
| `TAG_ACC` | 98.33 |
| `POS_ACC` | 97.91 |
| `MORPH_ACC` | 95.92 |
| `DEP_UAS` | 91.92 |
| `DEP_LAS` | 89.41 |
| `LEMMA_ACC` | 88.22 |
|
{"language": ["fi"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/fi_udv25_finnishtdt_trf
| null |
[
"spacy",
"token-classification",
"fi",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_French-Sequoia
| Feature | Description |
| --- | --- |
| **Name** | `fr_udv25_frenchsequoia_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `LGPL-LR` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (916 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADP_DET`, `ADP_PRON`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ`, `POS=ADP`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `NumType=Ord\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Gender=Masc\|Number=Sing\|POS=PROPN`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=ADV`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=PROPN`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `NumType=Card\|POS=NUM`, `Definite=Def\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=CCONJ`, `Gender=Fem\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Number=Sing\|POS=DET\|Poss=Yes`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Art`, `Definite=Def\|Number=Plur\|POS=ADP\|PronType=Art`, `Definite=Ind\|Number=Plur\|POS=DET\|PronType=Art`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=VERB\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Number=Plur\|POS=DET`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=ADV\|PronType=Int`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Number=Plur\|POS=DET\|Poss=Yes`, `POS=AUX\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Masc\|POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=ADV\|Polarity=Neg`, `Definite=Ind\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `POS=PRON\|Person=3\|Reflex=Yes`, `Gender=Masc\|POS=NOUN`, `POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=PRON\|Person=3`, `Number=Plur\|POS=NOUN`, `NumType=Ord\|Number=Sing\|POS=ADJ`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Sing\|POS=PRON\|Person=3`, `Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=3`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Number=Plur\|POS=PROPN`, `Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET`, `Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes`, `Gender=Masc\|POS=PRON`, `POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON`, `Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Number=Sing\|POS=PRON`, `Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|POS=VERB\|VerbForm=Fin`, `Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PRON`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `POS=PRON`, `POS=NUM`, `Gender=Fem\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=PRON`, `Number=Plur\|POS=PRON\|Person=3`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Sing\|POS=PRON\|Person=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=INTJ`, `Number=Plur\|POS=PRON\|Person=2`, `NumType=Card\|POS=PRON`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `NumType=Card\|POS=NOUN`, `POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3`, `Gender=Fem\|Number=Sing\|POS=DET`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=PROPN`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Sing\|POS=DET`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|POS=PRON`, `Gender=Masc\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `POS=SYM`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `POS=DET`, `Gender=Masc\|Number=Plur\|POS=PRON`, `POS=PART`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|POS=VERB\|Person=3\|VerbForm=Fin`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Gender=Masc\|Number=Plur\|POS=DET`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Rel`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Mood=Imp\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=2\|Reflex=Yes`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=1\|Reflex=Yes`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Number=Sing\|POS=PRON\|Person=1\|Reflex=Yes`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|POS=PROPN`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|POS=ADV`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Gender=Fem\|Number=Plur\|POS=PROPN`, `Gender=Masc\|NumType=Card\|POS=NUM` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advcl:cleft`, `advmod`, `amod`, `appos`, `aux:caus`, `aux:pass`, `aux:tense`, `case`, `cc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `dislocated`, `expl:comp`, `expl:pass`, `expl:subj`, `fixed`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:caus`, `nsubj:pass`, `nummod`, `obj`, `obl:agent`, `obl:arg`, `obl:mod`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0`, `3`, `4`, `6`, `8`, `10`, `12`, `14`, `16`, `20`, `22`, `24`, `26`, `30`, `32`, `34`, `36`, `39`, `40`, `42`, `44`, `45`, `48`, `50`, `52`, `54`, `56`, `58`, `61`, `63`, `66`, `70`, `72`, `74`, `77`, `79`, `81`, `82`, `84`, `86`, `88`, `89`, `91`, `95`, `97`, `99`, `102`, `103`, `106`, `110`, `111`, `113`, `114`, `115`, `118`, `119`, `123`, `125`, `126`, `128`, `130`, `132`, `133`, `134`, `136`, `138`, `139`, `140`, `142`, `143`, `144`, `146`, `148`, `150`, `152`, `155`, `157`, `160`, `161`, `163`, `165`, `167`, `171`, `173`, `174`, `176`, `177`, `179`, `181`, `183`, `185`, `187`, `189`, `191`, `192`, `195`, `197`, `198`, `200`, `202`, `203`, `205`, `208`, `210`, `211`, `212`, `214`, `217`, `218`, `221`, `225`, `227`, `229`, `230`, `232`, `234`, `236`, `238`, `240`, `242`, `243`, `245`, `247`, `248`, `251`, `253`, `255`, `257`, `258`, `260`, `261`, `264`, `267`, `268`, `269`, `272`, `273`, `276`, `277`, `278`, `279`, `284`, `287`, `288`, `291`, `293`, `295`, `298`, `299`, `301`, `304`, `306`, `307`, `309`, `310`, `313`, `315`, `318`, `319`, `322`, `324`, `325`, `327`, `329`, `330`, `332`, `333`, `336`, `339`, `341`, `342`, `344`, `346`, `347`, `350`, `351`, `353`, `356`, `358`, `359`, `361`, `363`, `365`, `367`, `369`, `373`, `376`, `378`, `379`, `380`, `382`, `384`, `386`, `389`, `390`, `391`, `394`, `396`, `398`, `399`, `401`, `404`, `406`, `409`, `412`, `414`, `418`, `421`, `423`, `424`, `426`, `428`, `429`, `430`, `434`, `436`, `438`, `440`, `441`, `443`, `446`, `447`, `448`, `451`, `453`, `456`, `457`, `458`, `460`, `462`, `463`, `465`, `468`, `470`, `472`, `474`, `480`, `482`, `483`, `485`, `486`, `490`, `493`, `494`, `497`, `499`, `500`, `501`, `503`, `506`, `509`, `511`, `512`, `514`, `516`, `518`, `522`, `523`, `526`, `530`, `532`, `534`, `537`, `539`, `540`, `541`, `543`, `545`, `546`, `548`, `550`, `551`, `552`, `554`, `556`, `557`, `558`, `561`, `563`, `565`, `567`, `570`, `571`, `573`, `574`, `575`, `576`, `578`, `579`, `581`, `582`, `583`, `584`, `586`, `587`, `588`, `589`, `590`, `592`, `595`, `600`, `603`, `604`, `606`, `608`, `611`, `612`, `614`, `615`, `616`, `618`, `619`, `620`, `621`, `622`, `623`, `624`, `625`, `626`, `627`, `628`, `629`, `630`, `631`, `632`, `633`, `634`, `635`, `636`, `638`, `640`, `644`, `646`, `647`, `648`, `650`, `652`, `654`, `657`, `659`, `660`, `661`, `662`, `663`, `664`, `665`, `666`, `668`, `672`, `674`, `675`, `677`, `678`, `679`, `680`, `681`, `682`, `683`, `684`, `685`, `686`, `687`, `688`, `689`, `690`, `691`, `692`, `693`, `694`, `695`, `696`, `697`, `698`, `699`, `700`, `701`, `702`, `704`, `705`, `706`, `707`, `708`, `709`, `710`, `711`, `712`, `713`, `714`, `715`, `716`, `717`, `718`, `719`, `720`, `721`, `722`, `723`, `724`, `725`, `726`, `727`, `728`, `729`, `730`, `731`, `732`, `733`, `734`, `735`, `736`, `737`, `738`, `739`, `740`, `741`, `743`, `744`, `747`, `748`, `749`, `750`, `751`, `752`, `753`, `754`, `755`, `756`, `758`, `760`, `762`, `763`, `766`, `767`, `768`, `770`, `772`, `773`, `774`, `775`, `776`, `777`, `778`, `779`, `781`, `783`, `784`, `786`, `787`, `789`, `790`, `791`, `794`, `795`, `796`, `797`, `798`, `799`, `800`, `801`, `802`, `803`, `807`, `809`, `812`, `813`, `815`, `817`, `819`, `821`, `825`, `828`, `829`, `832`, `833`, `834`, `837`, `838`, `839`, `841`, `842`, `844`, `846`, `849`, `851`, `853`, `854`, `855`, `858`, `861`, `862`, `866`, `868`, `869`, `871`, `872`, `874`, `876`, `879`, `880`, `882`, `885`, `887`, `891`, `893`, `895`, `898`, `899`, `902`, `903`, `905`, `906`, `908`, `910`, `911`, `912`, `914`, `917`, `920`, `923`, `925`, `927`, `929`, `932`, `933`, `934`, `936`, `938`, `939`, `943`, `944`, `945`, `946`, `947`, `950`, `952`, `954`, `956`, `958`, `959`, `961`, `963`, `965`, `967`, `969`, `971`, `973`, `976`, `978`, `979`, `980`, `981`, `984`, `986`, `987`, `990`, `993`, `994`, `996`, `998`, `999`, `1000`, `1001`, `1002`, `1004`, `1006`, `1007`, `1009`, `1010`, `1012`, `1014`, `1016`, `1018`, `1021`, `1023`, `1026`, `1027`, `1029`, `1031`, `1033`, `1034`, `1036`, `1037`, `1039`, `1041`, `1043`, `1044`, `1045`, `1046`, `1049`, `1051`, `1053`, `1054`, `1055`, `1056`, `1057`, `1058`, `1059`, `1061`, `1063`, `1065`, `1067`, `1068`, `1070`, `1072`, `1073`, `1075`, `1077`, `1078`, `1080`, `1081`, `1082`, `1084`, `1085`, `1087`, `1088`, `1089`, `1090`, `1091`, `1092`, `1094`, `1095`, `1097`, `1098`, `1100`, `1103`, `1106`, `1108`, `1110`, `1111`, `1113`, `1116`, `1117`, `1119`, `1121`, `1124`, `1127`, `1129`, `1131`, `1132`, `1133`, `1135`, `1136`, `1138`, `1139`, `1141`, `1142`, `1145`, `1148`, `1153`, `1154`, `1156`, `1157`, `1159`, `1161` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.70 |
| `TOKEN_P` | 99.69 |
| `TOKEN_R` | 99.71 |
| `TOKEN_ACC` | 99.96 |
| `SENTS_F` | 94.42 |
| `SENTS_P` | 94.42 |
| `SENTS_R` | 94.42 |
| `TAG_ACC` | 98.65 |
| `POS_ACC` | 98.56 |
| `MORPH_ACC` | 97.55 |
| `DEP_UAS` | 94.68 |
| `DEP_LAS` | 92.60 |
| `LEMMA_ACC` | 97.41 |
|
{"language": ["fr"], "license": "lgpl-lr", "tags": ["spacy", "token-classification"]}
|
explosion/fr_udv25_frenchsequoia_trf
| null |
[
"spacy",
"token-classification",
"fr",
"license:lgpl-lr",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Irish-IDT
| Feature | Description |
| --- | --- |
| **Name** | `ga_udv25_irishidt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1662 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `!`, `.`, `...`, `?`, `Abr`, `Ad`, `Adj`, `Art`, `CM`, `CU`, `Cmp`, `Cmpd`, `CmpdNoGen`, `Comp`, `Cond`, `Coord`, `Cop`, `Cp`, `Deg`, `Dem`, `Det`, `Dir`, `Foreign`, `FutInd`, `Gn`, `Idf`, `Imper`, `Inf`, `Item`, `Itj`, `Its`, `Loc`, `Nm`, `Noun`, `Num`, `PastImp`, `PastInd`, `Pat`, `Pers`, `Poss`, `Prep`, `PresImp`, `PresInd`, `PresSubj`, `Pron`, `Punct`, `Q`, `Ref`, `Rel`, `Simp`, `Subord`, `Subst`, `Sup`, `Temp`, `Unknown`, `VD`, `VI`, `VT`, `VTI`, `Vb`, `Voc`, `Web`, `cionn` |
| **`morphologizer`** | `POS=ADP`, `Case=NomAcc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=AUX\|Tense=Pres\|VerbForm=Cop`, `Number=Sing\|POS=PRON\|Person=3`, `Mood=Ind\|POS=VERB\|Tense=Fut`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `Case=NomAcc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `POS=PART\|PartType=Inf`, `POS=NOUN\|VerbForm=Inf`, `Number=Sing\|POS=ADP\|PronType=Art`, `POS=ADV`, `POS=PUNCT`, `POS=PART\|PartType=Vb\|Polarity=Neg`, `Form=Len\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Fut`, `Number=Sing\|POS=NOUN`, `POS=CCONJ`, `Case=NomAcc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=NomAcc\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Int\|POS=AUX\|Polarity=Neg\|Tense=Pres\|VerbForm=Cop`, `Degree=Pos\|POS=ADJ`, `POS=PART\|PartType=Vb\|PronType=Rel`, `Form=Len\|Mood=Cnd\|POS=VERB`, `Case=NomAcc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=ADP\|Person=1`, `Case=NomAcc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Form=Emp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|PronType=Rel\|Tense=Pres`, `Case=NomAcc\|Form=Ecl\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Definite=Def\|Number=Plur\|POS=DET\|PronType=Art`, `Case=NomAcc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=DET\|Person=1\|Poss=Yes`, `POS=PART\|PartType=Cmpl`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Tense=Past`, `POS=PRON\|PronType=Dem`, `POS=PART\|PartType=Vb`, `Form=Len\|Mood=Ind\|POS=VERB\|Tense=Past`, `Number=Sing\|POS=PRON\|Person=2`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Number=Sing\|POS=PART\|PartType=Comp`, `Degree=Cmp,Sup\|POS=ADJ`, `Case=NomAcc\|Form=Len\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Tense=Pres`, `NumType=Card\|POS=NUM`, `POS=ADJ\|VerbForm=Part`, `Number=Plur\|POS=ADP\|Person=1`, `Form=Len\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres`, `POS=PRON\|PronType=Int`, `Mood=Ind\|POS=VERB\|PronType=Rel\|Tense=Pres`, `Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Pres`, `Dialect=Munster\|POS=X`, `POS=ADP\|PrepForm=Cmpd`, `Case=NomAcc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=NomAcc\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Form=Ecl\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past`, `POS=NOUN\|VerbForm=Vnoun`, `Gender=Masc\|Number=Sing\|POS=ADP\|Person=3`, `Gender=Masc\|Number=Sing\|POS=ADP\|Person=3\|Poss=Yes`, `Case=Gen\|Gender=Masc\|NounType=Strong\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Form=Len\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Form=Len\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past`, `Number=Plur\|POS=DET\|Person=3\|Poss=Yes`, `Case=NomAcc\|Form=Ecl\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Past\|Voice=Auto`, `Number=Plur\|POS=PRON\|Person=3`, `Case=Gen\|Definite=Def\|Gender=Masc\|NounType=Weak\|Number=Plur\|POS=NOUN`, `Form=Len\|POS=NOUN\|VerbForm=Inf`, `POS=PART\|PartType=Ad`, `POS=PART\|PartType=Pat`, `POS=NUM`, `Mood=Ind\|POS=VERB\|Tense=Pres`, `Case=NomAcc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Form=Len\|POS=VERB`, `POS=PRON\|Reflex=Yes`, `POS=VERB`, `Case=NomAcc\|Form=Len\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=NomAcc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=SCONJ\|VerbForm=Cop`, `Form=Len\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Past`, `Gender=Masc\|Number=Sing\|POS=ADP\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=NomAcc\|Form=HPref\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=DET\|PronType=Dem`, `Form=Len\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past`, `Case=NomAcc\|Form=HPref\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Gen\|Definite=Def\|Gender=Masc\|NounType=Strong\|Number=Plur\|POS=NOUN`, `Case=Gen\|Definite=Def\|Gender=Fem\|NounType=Strong\|Number=Plur\|POS=NOUN`, `Case=Dat\|Form=Ecl\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=ADP\|Person=3`, `POS=PART\|PartType=Comp`, `POS=PART`, `Case=NomAcc\|Form=Ecl\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=NomAcc\|Form=Len\|Gender=Fem\|Number=Plur\|POS=NOUN`, `POS=DET\|PronType=Ind`, `Form=Len\|Mood=Ind\|POS=VERB\|Tense=Fut\|Voice=Auto`, `Case=Gen\|Gender=Fem\|NounType=Strong\|Number=Plur\|POS=NOUN`, `Form=Len\|Mood=Ind\|POS=VERB\|Tense=Pres\|Voice=Auto`, `POS=X`, `POS=PART\|PronType=Rel`, `Form=VF\|POS=AUX\|Tense=Pres\|VerbForm=Cop`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes`, `POS=AUX\|Polarity=Neg\|PronType=Rel\|Tense=Pres\|VerbForm=Cop`, `Form=Len\|Mood=Ind\|POS=VERB\|Tense=Pres`, `Case=Gen\|Form=Ecl\|Gender=Fem\|NounType=Strong\|Number=Plur\|POS=NOUN`, `POS=PART\|PartType=Vb\|Polarity=Neg\|PronType=Rel`, `Number=Sing\|POS=PRON\|PronType=Int`, `Abbr=Yes\|POS=X`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=AUX\|Tense=Past\|VerbForm=Cop`, `Number=Sing\|POS=PRON\|Person=1`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Tense=Pres\|Voice=Auto`, `Case=NomAcc\|Form=HPref\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Form=Len\|Mood=Ind\|POS=VERB\|Tense=Fut`, `Case=Gen\|POS=NOUN\|VerbForm=Inf`, `Form=HPref\|POS=DET\|PronType=Ind`, `Case=NomAcc\|Form=Len\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Number=Plur\|POS=PRON\|Person=1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=NomAcc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Fem\|NounType=Weak\|Number=Plur\|POS=NOUN`, `Case=Gen\|NounType=Strong\|Number=Plur\|POS=ADJ`, `Foreign=Yes\|POS=X`, `Mood=Ind\|POS=VERB\|Tense=Fut\|Voice=Auto`, `Number=Plur\|POS=ADP\|Person=3\|PronType=Emp`, `Mood=Ind\|POS=VERB\|Tense=Past`, `POS=PART\|PartType=Cmpl\|Polarity=Neg\|Tense=Past`, `Number=Plur\|POS=ADP\|Person=3\|Poss=Yes`, `Form=Ecl\|POS=NOUN\|VerbForm=Inf`, `Case=Gen\|Form=Len\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Form=Len\|NumType=Card\|POS=NUM`, `Abbr=Yes\|POS=NUM`, `Case=NomAcc\|NounType=NotSlender\|Number=Plur\|POS=ADJ`, `Case=NomAcc\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Masc\|NounType=Weak\|Number=Plur\|POS=PROPN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|Voice=Auto`, `POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Cop`, `Degree=Pos\|Form=Len\|POS=ADJ`, `Form=Len\|NumType=Ord\|POS=NUM`, `Number=Plur\|POS=ADP\|PronType=Art`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2`, `Form=Len\|Number=Plur\|POS=ADP\|Person=1`, `Case=NomAcc\|Form=Len\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=NomAcc\|Form=Len\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Form=Ecl\|POS=ADJ`, `Mood=Imp\|POS=PART\|PartType=Vb`, `Mood=Cnd\|POS=VERB`, `Number=Sing\|POS=ADP\|Person=1\|Poss=Yes`, `Form=Ecl\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1`, `Form=Len\|Mood=Imp\|POS=VERB\|Tense=Past\|Voice=Auto`, `Case=Gen\|Gender=Masc\|NounType=Weak\|Number=Plur\|POS=NOUN`, `POS=PART\|PartType=Num`, `Form=HPref\|NumType=Card\|POS=NUM`, `Form=Len\|Mood=Sub\|POS=VERB\|Polarity=Neg\|Tense=Pres`, `Case=Gen\|Form=Len\|Gender=Masc\|NounType=Strong\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=ADP\|Person=3`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Emp`, `POS=PART\|PartType=Vb\|Tense=Past`, `Case=NomAcc\|Form=Ecl\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Def\|Dialect=Ulster\|POS=X`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Tense=Fut`, `POS=PART\|PartType=Vb\|Polarity=Neg\|Tense=Past`, `POS=PART\|PartType=Cmpl\|Polarity=Neg`, `Case=NomAcc\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADP\|Poss=Yes`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Form=Len\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Form=Len\|Mood=Imp\|POS=VERB\|Voice=Auto`, `Definite=Def\|POS=DET`, `POS=AUX\|PronType=Rel\|Tense=Pres\|VerbForm=Cop`, `Case=NomAcc\|NounType=Slender\|Number=Plur\|POS=ADJ`, `POS=AUX\|Polarity=Neg\|PronType=Rel\|Tense=Past\|VerbForm=Cop`, `Form=Ecl\|Mood=Cnd\|POS=VERB`, `Case=Gen\|Form=Ecl\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=AUX\|Polarity=Neg\|Tense=Pres\|VerbForm=Cop`, `Form=Len\|Mood=Imp\|POS=VERB\|Tense=Past`, `Case=Gen\|Form=Ecl\|Gender=Masc\|NounType=Strong\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=ADP\|Person=2`, `Degree=Pos\|Form=HPref\|POS=ADJ`, `Dialect=Munster\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=ADP\|Person=3\|Poss=Yes`, `Case=NomAcc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Number=Plur\|POS=ADP\|Person=1\|PronType=Emp`, `POS=PART\|PartType=Vb\|Polarity=Neg\|PronType=Rel\|Tense=Past`, `POS=PRON\|PronType=Ind`, `Number=Plur\|POS=ADP\|Person=1\|Poss=Yes`, `Gender=Fem\|Number=Sing\|POS=ADP\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|NounType=Weak\|Number=Plur\|POS=ADJ`, `Form=Emp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres`, `Case=NomAcc\|Form=Len\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Form=VF\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Cop`, `Case=NomAcc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Fem\|POS=PROPN`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3`, `Form=VF\|POS=AUX\|Polarity=Neg\|PronType=Rel\|Tense=Past\|VerbForm=Cop`, `Case=NomAcc\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Form=Ecl\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=NomAcc\|Form=Emp\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Form=Ecl\|Gender=Masc\|Number=Plur\|POS=PROPN`, `POS=PROPN`, `Mood=Imp\|POS=PART\|PartType=Vb\|Polarity=Neg`, `Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes`, `Form=Ecl\|NumType=Card\|POS=NUM`, `Case=Gen\|Form=Len\|Gender=Masc\|NounType=Weak\|Number=Plur\|POS=NOUN`, `Dialect=Munster\|Mood=Ind\|POS=X\|Tense=Past\|Voice=Auto`, `Number=Sing\|POS=DET\|Person=2\|Poss=Yes`, `Case=Gen\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Past\|Voice=Auto`, `Definite=Def\|NumType=Card\|POS=NUM`, `Form=Len\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1`, `Case=NomAcc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Form=Len\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Pres`, `Form=Len\|Mood=Cnd\|POS=VERB\|Voice=Auto`, `Mood=Imp\|POS=VERB\|Tense=Past`, `Case=Gen\|Form=Ecl\|Gender=Masc\|NounType=Weak\|Number=Plur\|POS=NOUN`, `Number=Plur\|POS=ADP\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PROPN`, `Form=Len\|Mood=Ind\|POS=VERB\|Tense=Past\|Voice=Auto`, `Definite=Def\|Form=Ecl\|POS=DET`, `Number=Plur\|POS=ADJ`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Fut\|Voice=Auto`, `Form=VF\|POS=AUX\|Tense=Past\|VerbForm=Cop`, `Form=Len\|Number=Sing\|POS=NOUN`, `POS=AUX`, `Gender=Masc\|POS=PRON\|Person=3`, `Case=NomAcc\|Form=Len\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Form=Len\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Mood=Int\|POS=PART\|PartType=Vb\|Polarity=Neg`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Pres`, `Form=Ecl\|Mood=Imp\|POS=VERB\|Tense=Past`, `Number=Sing\|POS=PRON\|Person=1\|PronType=Emp`, `Case=NomAcc\|Foreign=Yes\|Gender=Fem\|Number=Sing\|POS=X`, `Dialect=Munster\|Form=Len\|Mood=Ind\|Number=Sing\|POS=X\|Person=1\|Tense=Past`, `POS=PART\|PartType=Vb\|PronType=Rel\|Tense=Past`, `Form=Len\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2`, `POS=PART\|PartType=Voc`, `Form=HPref\|POS=NOUN\|VerbForm=Inf`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Degree=Cmp,Sup\|Form=Len\|POS=ADJ`, `POS=NOUN`, `Form=Ecl\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres`, `Case=NomAcc\|Form=Ecl\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Number=Plur\|POS=ADP\|Person=2`, `POS=SCONJ\|Tense=Past\|VerbForm=Cop`, `NumType=Ord\|POS=NUM`, `Mood=Int\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Cop`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Dialect=Ulster\|POS=X\|VerbForm=Cop`, `Mood=Int\|Number=Sing\|POS=AUX\|PronType=Art\|VerbForm=Cop`, `Case=NomAcc\|Definite=Def\|Gender=Fem\|POS=NOUN`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Form=Ecl\|POS=NOUN\|VerbForm=Vnoun`, `Case=NomAcc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Form=Ecl\|Mood=Sub\|POS=VERB\|Tense=Pres`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Number=Plur\|POS=ADJ\|PartType=Voc`, `Form=Len\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past`, `Number=Sing\|POS=DET\|PronType=Int`, `Form=Len\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3`, `Dialect=Munster\|Form=Len\|Mood=Ind\|POS=VERB\|Tense=Past`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres`, `Case=NomAcc\|Gender=Masc\|POS=PROPN`, `Case=Gen\|Form=Len\|Gender=Masc\|POS=PROPN`, `Form=Ecl\|POS=VERB`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres`, `Form=Ecl\|Number=Sing\|POS=NOUN`, `Form=Len\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Fut\|Voice=Auto`, `POS=AUX\|PronType=Dem\|VerbForm=Cop`, `POS=AUX\|PronType=Rel\|Tense=Past\|VerbForm=Cop`, `Case=NomAcc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Pres`, `Form=Ecl\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past`, `Form=Len\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past`, `Abbr=Yes\|POS=SYM`, `Case=Gen\|Form=Len\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Form=Len\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Pres\|Voice=Auto`, `POS=PART\|PartType=Cop\|PronType=Rel`, `Form=VF\|POS=AUX\|PronType=Rel\|Tense=Past\|VerbForm=Cop`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past`, `Form=Len\|Number=Sing\|POS=PRON\|Person=2`, `Case=Voc\|Form=Len\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=ADJ\|PartType=Voc`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Voc\|Form=Len\|Gender=Fem\|POS=PROPN`, `Case=Gen\|Form=HPref\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Dialect=Ulster\|Gender=Masc\|Number=Sing\|POS=X\|Person=3`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Fut`, `Form=Len\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut`, `Case=NomAcc\|Form=HPref\|Gender=Masc\|Number=Sing\|POS=PROPN`, `POS=ADV\|PronType=Int`, `Form=Ecl\|Mood=Cnd\|POS=VERB\|Voice=Auto`, `POS=ADP\|PronType=Art`, `Mood=Int\|POS=AUX\|Tense=Pres\|VerbForm=Cop`, `POS=PART\|PartType=Deg`, `Number=Sing\|POS=ADP\|Person=1\|PronType=Emp`, `Number=Plur\|POS=PRON\|Person=1\|PronType=Emp`, `Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Cop`, `Foreign=Yes\|POS=ADJ`, `Foreign=Yes\|POS=NOUN`, `Foreign=Yes\|POS=VERB`, `Foreign=Yes\|POS=ADP`, `Abbr=Yes\|POS=PROPN`, `Form=Len\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2`, `Case=Voc\|Form=Len\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Form=Len\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Past\|Voice=Auto`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past`, `Case=NomAcc\|Form=Ecl\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Form=Len\|POS=ADV`, `Case=Voc\|Form=Len\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=2`, `POS=DET`, `Number=Sing\|POS=ADP\|Person=3`, `Mood=Cnd\|POS=VERB\|Voice=Auto`, `Form=Len\|Number=Sing\|POS=ADP\|Person=1`, `Dialect=Munster\|Mood=Imp\|Number=Sing\|POS=X\|Person=2\|Polarity=Neg`, `Dialect=Munster\|POS=X\|PronType=Dem`, `Form=Len\|POS=VERB\|Polarity=Neg`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Past`, `Case=Gen\|Gender=Masc\|POS=PROPN`, `Form=Ecl\|NumType=Ord\|POS=NUM`, `Mood=Ind\|POS=VERB\|PronType=Rel\|Tense=Fut`, `Form=Len\|Number=Plur\|POS=ADP\|Person=3`, `Case=NomAcc\|Form=HPref\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Form=Ecl\|Mood=Ind\|POS=VERB\|Tense=Fut\|Voice=Auto`, `Form=Len\|POS=ADJ\|VerbForm=Part`, `Case=Gen\|Form=Len\|Gender=Fem\|POS=PROPN`, `Form=Ecl\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Form=Len\|POS=NOUN\|VerbForm=Inf`, `Degree=Pos\|POS=NOUN`, `POS=AUX\|PartType=Comp\|Tense=Past\|VerbForm=Cop`, `Number=Plur\|POS=DET\|Person=1\|Poss=Yes`, `Case=Dat\|Form=Len\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Form=HPref\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=ADP\|Person=3\|Poss=Yes`, `POS=NOUN\|Reflex=Yes`, `Dialect=Ulster\|POS=X\|PartType=Vb\|Polarity=Neg`, `Form=Emp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres`, `Gender=Masc\|Number=Sing\|POS=ADP\|Person=3\|PronType=Emp`, `Form=Ecl\|POS=PART\|PartType=Vb\|PronType=Rel`, `Form=Ecl\|Mood=Cnd\|POS=VERB\|Polarity=Neg`, `Case=Gen\|Form=Ecl\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Form=Len\|Mood=Cnd\|POS=VERB\|Polarity=Neg`, `Form=Len\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `Form=Len\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Gender=Masc\|Number=Plur\|POS=PROPN`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=NOUN`, `Form=Ecl\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Form=Len\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Gen\|Form=HPref\|Gender=Fem\|POS=PROPN`, `Form=Len\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Form=Len\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Form=Len\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Form=HPref\|Gender=Fem\|Number=Sing\|POS=NOUN`, `NounType=Slender\|Number=Plur\|POS=ADJ`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Form=Ecl\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Form=Ecl\|Gender=Fem\|Number=Plur\|POS=NOUN`, `POS=PRON`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=PROPN`, `Number=Sing\|POS=NOUN\|PartType=Comp`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Form=Ecl\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=PART\|PartType=Cmpl\|Tense=Past`, `Form=Ecl\|Mood=Int\|POS=VERB\|Polarity=Neg`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Art`, `NounType=NotSlender\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|POS=AUX\|VerbForm=Cop`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Form=Len\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres`, `Gender=Masc\|Number=Sing\|POS=INTJ`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Fem\|Number=Sing\|POS=SCONJ`, `POS=PART\|Tense=Pres\|VerbForm=Cop`, `Case=Gen\|Definite=Def\|Gender=Fem\|NounType=Weak\|Number=Plur\|POS=NOUN`, `Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=ADJ`, `Form=Ecl\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=DET\|PronType=Art`, `Form=Ecl,Emp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past`, `Form=Ecl\|Mood=Cnd,Int\|POS=VERB`, `Definite=Def\|Dialect=Munster\|Gender=Fem\|Number=Sing\|POS=X`, `POS=AUX\|PronType=Dem`, `POS=AUX\|PartType=Cmpl\|Tense=Pres\|VerbForm=Cop`, `Form=Len\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past`, `POS=PART\|PartType=Inf\|PronType=Rel`, `Form=Ecl\|Number=Plur\|POS=NOUN`, `Form=Len\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres`, `POS=SCONJ\|Tense=Past`, `Form=HPref\|Gender=Masc\|Number=Sing\|POS=ADP\|Person=3`, `Form=Ecl\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Form=HPref\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `POS=INTJ`, `Form=HPref\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Form=Len\|Gender=Fem\|NounType=Strong\|Number=Plur\|POS=NOUN`, `Form=Ecl\|Mood=Sub\|POS=VERB\|Tense=Pres\|Voice=Auto`, `Number=Sing\|POS=VERB\|Person=1`, `Gender=Masc\|POS=PROPN`, `POS=ADP\|PronType=Rel`, `Mood=Ind\|POS=NOUN\|PronType=Rel\|Tense=Pres`, `Form=Ecl\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `Form=Ecl\|Mood=Cnd,Int\|POS=VERB\|Voice=Auto`, `Form=Len\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Fem\|POS=PROPN`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2`, `Form=HPref\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Dialect=Ulster\|Gender=Masc\|Number=Plur\|POS=X`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN` |
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `case`, `case:voc`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj:cleft`, `csubj:cop`, `dep`, `det`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `list`, `mark`, `mark:prt`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:prep`, `obl:tmod`, `parataxis`, `punct`, `vocative`, `xcomp`, `xcomp:pred` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `7`, `10`, `11`, `13`, `15`, `16`, `17`, `19`, `21`, `25`, `27`, `28`, `30`, `32`, `34`, `36`, `37`, `40`, `42`, `44`, `46`, `51`, `54`, `56`, `59`, `62`, `64`, `66`, `68`, `70`, `72`, `73`, `74`, `77`, `81`, `83`, `85`, `88`, `89`, `91`, `93`, `96`, `99`, `100`, `102`, `104`, `108`, `114`, `116`, `119`, `120`, `121`, `123`, `126`, `127`, `128`, `131`, `133`, `135`, `137`, `138`, `139`, `142`, `144`, `145`, `147`, `149`, `151`, `153`, `157`, `159`, `161`, `164`, `165`, `169`, `171`, `173`, `176`, `181`, `183`, `185`, `186`, `188`, `189`, `191`, `193`, `194`, `195`, `197`, `199`, `201`, `202`, `205`, `207`, `209`, `210`, `213`, `216`, `217`, `220`, `221`, `223`, `225`, `227`, `228`, `230`, `232`, `233`, `236`, `238`, `240`, `241`, `242`, `244`, `246`, `247`, `249`, `251`, `252`, `254`, `256`, `257`, `259`, `264`, `267`, `268`, `271`, `273`, `275`, `276`, `278`, `279`, `280`, `282`, `283`, `285`, `286`, `289`, `291`, `293`, `295`, `296`, `299`, `301`, `302`, `303`, `304`, `305`, `306`, `308`, `310`, `311`, `312`, `315`, `318`, `319`, `320`, `321`, `323`, `325`, `327`, `328`, `332`, `334`, `336`, `339`, `341`, `343`, `346`, `348`, `350`, `353`, `355`, `358`, `359`, `361`, `363`, `365`, `366`, `367`, `368`, `370`, `371`, `373`, `376`, `378`, `380`, `381`, `384`, `385`, `386`, `389`, `390`, `392`, `396`, `398`, `400`, `401`, `402`, `405`, `407`, `409`, `410`, `411`, `413`, `415`, `416`, `419`, `421`, `422`, `423`, `426`, `427`, `428`, `429`, `430`, `431`, `432`, `433`, `434`, `437`, `438`, `439`, `440`, `441`, `442`, `443`, `446`, `449`, `453`, `455`, `457`, `458`, `459`, `461`, `462`, `464`, `466`, `469`, `471`, `473`, `475`, `478`, `479`, `480`, `482`, `483`, `485`, `487`, `490`, `491`, `492`, `495`, `496`, `497`, `500`, `502`, `505`, `507`, `509`, `512`, `513`, `515`, `516`, `518`, `520`, `522`, `523`, `525`, `527`, `530`, `531`, `532`, `534`, `536`, `537`, `538`, `540`, `541`, `542`, `545`, `546`, `548`, 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`810`, `811`, `813`, `815`, `816`, `817`, `820`, `822`, `827`, `828`, `830`, `833`, `836`, `837`, `838`, `841`, `842`, `843`, `845`, `847`, `849`, `850`, `852`, `24`, `854`, `856`, `859`, `860`, `861`, `862`, `863`, `864`, `866`, `868`, `869`, `870`, `873`, `874`, `877`, `878`, `879`, `881`, `884`, `886`, `888`, `889`, `890`, `893`, `894`, `897`, `898`, `900`, `902`, `905`, `908`, `909`, `910`, `911`, `912`, `913`, `915`, `916`, `917`, `919`, `921`, `924`, `926`, `927`, `928`, `929`, `930`, `932`, `935`, `937`, `941`, `943`, `945`, `946`, `948`, `950`, `951`, `953`, `954`, `955`, `958`, `960`, `963`, `965`, `966`, `967`, `968`, `969`, `971`, `974`, `976`, `978`, `979`, `981`, `982`, `983`, `984`, `985`, `986`, `988`, `990`, `992`, `994`, `997`, `998`, `999`, `1001`, `1003`, `1004`, `1006`, `1008`, `1010`, `1011`, `1012`, `1015`, `1017`, `1019`, `1020`, `1021`, `1022`, `1025`, `1028`, `1030`, `1032`, `1033`, `1035`, `1036`, `1039`, `1040`, `1041`, `1042`, `1044`, `1045`, `1046`, `1047`, 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`1495`, `1496`, `1497`, `1498`, `1501`, `1502`, `1505`, `1506`, `1508`, `1509`, `1510`, `1511`, `1513`, `1514`, `1516`, `1518`, `1521`, `1523`, `1527`, `1528`, `1531`, `1532`, `1534`, `1537`, `1540`, `1541`, `1544`, `1545`, `1547`, `1548`, `1549`, `1550`, `1551`, `1552`, `1553`, `1554`, `1555`, `1557`, `1558`, `1559`, `1560`, `1561`, `1563`, `1565`, `1566`, `1567`, `1569`, `1571`, `1573`, `1576`, `1578`, `1579`, `1580`, `1582`, `1583`, `1211`, `1585`, `1587`, `1588`, `1590`, `1593`, `1595`, `1596`, `1597`, `1598`, `1599`, `1602`, `1604`, `1606`, `1608`, `1610`, `1611`, `1612`, `1613`, `1615`, `1617`, `1618`, `1620`, `1622`, `1623`, `1624`, `1625`, `1626`, `1629`, `1630`, `1632`, `1633`, `1634`, `1637`, `1639`, `65`, `1641`, `1643`, `1644`, `1646`, `1648`, `1649`, `1650`, `1651`, `1652`, `1654`, `1655`, `1658`, `1660`, `1661`, `1662`, `1663`, `1665`, `1666`, `1668`, `1669`, `1671`, `1672`, `1675`, `1676`, `1680`, `1681`, `1682`, `1684`, `1687`, `1689`, `1690`, `1691`, `1692`, `1693`, 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`1919`, `1921`, `1924`, `1925`, `1926`, `1928`, `1931`, `1934`, `1936`, `1938`, `1939`, `1636`, `1942`, `1945`, `1947`, `1948`, `1949`, `1950`, `1952`, `1954`, `1956`, `1957`, `1959`, `1961`, `1963`, `1964`, `1965`, `1968`, `1969`, `1970`, `1971`, `1973`, `1974`, `1978`, `1980`, `1981`, `1983`, `1984`, `1987`, `1990`, `1991`, `1994`, `1995`, `1996`, `1997`, `1998`, `1999`, `2001`, `2003`, `2004`, `2006`, `2008`, `2010` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.74 |
| `TOKEN_P` | 99.73 |
| `TOKEN_R` | 99.74 |
| `TOKEN_ACC` | 99.95 |
| `SENTS_F` | 97.57 |
| `SENTS_P` | 97.35 |
| `SENTS_R` | 97.78 |
| `TAG_ACC` | 93.34 |
| `POS_ACC` | 92.17 |
| `MORPH_ACC` | 68.98 |
| `DEP_UAS` | 83.61 |
| `DEP_LAS` | 74.65 |
| `LEMMA_ACC` | 89.81 |
|
{"language": ["ga"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/ga_udv25_irishidt_trf
| null |
[
"spacy",
"token-classification",
"ga",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Croatian-SET
| Feature | Description |
| --- | --- |
| **Name** | `hr_udv25_croatianset_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (3855 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `Agcfpay`, `Agcfpdy`, `Agcfpgy`, `Agcfpiy`, `Agcfply`, `Agcfpny`, `Agcfsay`, `Agcfsdy`, `Agcfsgy`, `Agcfsiy`, `Agcfsly`, `Agcfsny`, `Agcmpay`, `Agcmpgy`, `Agcmpiy`, `Agcmply`, `Agcmpny`, `Agcmsayn`, `Agcmsdy`, `Agcmsgy`, `Agcmsiy`, `Agcmsly`, `Agcmsny`, `Agcnpdy`, `Agcnpgy`, `Agcnpny`, `Agcnsay`, `Agcnsdy`, `Agcnsgy`, `Agcnsiy`, `Agcnsly`, `Agcnsny`, `Agpfpay`, `Agpfpdy`, `Agpfpgy`, `Agpfpiy`, `Agpfply`, `Agpfpny`, `Agpfsay`, `Agpfsdy`, `Agpfsgy`, `Agpfsiy`, `Agpfsly`, `Agpfsny`, `Agpfsvy`, `Agpmpay`, `Agpmpdy`, `Agpmpgy`, `Agpmpiy`, `Agpmply`, `Agpmpny`, `Agpmpvy`, `Agpmsann`, `Agpmsany`, `Agpmsayn`, `Agpmsayy`, `Agpmsdy`, `Agpmsgn`, `Agpmsgy`, `Agpmsiy`, `Agpmsln`, `Agpmsly`, `Agpmsnn`, `Agpmsny`, `Agpmsvy`, `Agpnpay`, `Agpnpdy`, `Agpnpgy`, `Agpnpiy`, `Agpnply`, `Agpnpny`, `Agpnsay`, `Agpnsdy`, `Agpnsgn`, `Agpnsgy`, `Agpnsiy`, `Agpnsln`, `Agpnsly`, `Agpnsny`, `Agsfpay`, `Agsfpdy`, `Agsfpgy`, `Agsfpiy`, `Agsfply`, `Agsfpny`, `Agsfsay`, `Agsfsdy`, `Agsfsgy`, `Agsfsiy`, `Agsfsly`, `Agsfsny`, `Agsmpay`, `Agsmpdy`, `Agsmpgy`, `Agsmpiy`, `Agsmply`, `Agsmpny`, `Agsmpvy`, `Agsmsayn`, `Agsmsayy`, `Agsmsdy`, `Agsmsgy`, `Agsmsiy`, `Agsmsly`, `Agsmsny`, `Agsnpay`, `Agsnpgy`, `Agsnply`, `Agsnpny`, `Agsnsay`, `Agsnsdy`, `Agsnsiy`, `Agsnsly`, `Agsnsny`, `Appfpay`, `Appfpdy`, `Appfpgy`, `Appfpiy`, `Appfply`, `Appfpny`, `Appfsay`, `Appfsgy`, `Appfsiy`, `Appfsly`, `Appfsny`, `Appmpay`, `Appmpdy`, `Appmpgy`, `Appmpiy`, `Appmply`, `Appmpny`, `Appmsann`, `Appmsany`, `Appmsayn`, `Appmsayy`, `Appmsdy`, `Appmsgn`, `Appmsgy`, `Appmsiy`, `Appmsly`, `Appmsnn`, `Appmsny`, `Appnpay`, `Appnpdy`, `Appnpgy`, `Appnpiy`, `Appnply`, `Appnpny`, `Appnsay`, `Appnsgy`, `Appnsly`, `Appnsny`, `Aspfpay`, `Aspfpgy`, `Aspfply`, `Aspfpny`, `Aspfsay`, `Aspfsdy`, `Aspfsgy`, `Aspfsiy`, `Aspfsly`, `Aspfsny`, `Aspmpay`, `Aspmpgy`, `Aspmply`, `Aspmpny`, `Aspmsann`, `Aspmsdy`, `Aspmsgn`, `Aspmsgy`, `Aspmsiy`, `Aspmsln`, `Aspmsly`, `Aspmsnn`, `Aspnpay`, `Aspnpgy`, `Aspnpny`, `Aspnsay`, `Aspnsdn`, `Aspnsgn`, `Aspnsgy`, `Aspnsly`, `Aspnsny`, `Cc`, `Cs`, `I`, `Mdc`, `Mdm`, `Mdo`, `Mds`, `Mlc`, `Mlc--g`, `Mlc--i`, `Mlc--l`, `Mlcf-a`, `Mlcf-d`, `Mlcf-g`, `Mlcf-n`, `Mlcfsa`, `Mlcfsd`, `Mlcfsg`, `Mlcfsi`, `Mlcfsl`, `Mlcfsn`, `Mlcm-a`, `Mlcm-g`, `Mlcm-l`, `Mlcm-n`, `Mlcmpl`, `Mlcmpn`, `Mlcmsan`, `Mlcmsay`, `Mlcmsg`, `Mlcmsi`, `Mlcmsl`, `Mlcmsn`, `Mlcn-n`, `Mlcnsa`, `Mlcnsg`, `Mlcnsl`, `Mlcnsn`, `Mlofpa`, `Mlofpd`, `Mlofpg`, `Mlofpi`, `Mlofpl`, `Mlofpn`, `Mlofsa`, `Mlofsd`, `Mlofsg`, `Mlofsi`, `Mlofsl`, `Mlofsn`, `Mlompa`, `Mlompd`, `Mlompg`, `Mlompi`, `Mlompl`, `Mlompn`, `Mlomsan`, `Mlomsay`, `Mlomsg`, `Mlomsi`, `Mlomsl`, `Mlomsn`, `Mlomsv`, `Mlonpa`, `Mlonpg`, `Mlonpl`, `Mlonpn`, `Mlonsa`, `Mlonsd`, `Mlonsg`, `Mlonsi`, `Mlonsl`, `Mlonsn`, `Mls`, `Mlsf-a`, `Mlsf-d`, `Mlsf-g`, `Mlsf-i`, `Mlsf-l`, `Mlsf-n`, `Mlsm-a`, `Mlsm-g`, `Mlsm-l`, `Mlsm-n`, `Mlsn-n`, `Mro`, `Ncfpa`, `Ncfpd`, `Ncfpg`, `Ncfpi`, `Ncfpl`, `Ncfpn`, `Ncfpv`, `Ncfsa`, `Ncfsd`, `Ncfsg`, `Ncfsi`, `Ncfsl`, `Ncfsn`, `Ncfsv`, `Ncmpa`, `Ncmpd`, `Ncmpg`, `Ncmpi`, `Ncmpl`, `Ncmpn`, `Ncmpv`, `Ncmsan`, `Ncmsay`, `Ncmsd`, `Ncmsg`, `Ncmsi`, `Ncmsl`, `Ncmsn`, `Ncmsv`, `Ncnpa`, `Ncnpd`, `Ncnpg`, `Ncnpi`, `Ncnpl`, `Ncnpn`, `Ncnsa`, `Ncnsd`, `Ncnsg`, `Ncnsi`, `Ncnsl`, `Ncnsn`, `Ncnsv`, `Npfpa`, `Npfpg`, `Npfpl`, `Npfpn`, `Npfsa`, `Npfsd`, `Npfsg`, `Npfsi`, `Npfsl`, `Npfsn`, `Npmpa`, `Npmpd`, `Npmpg`, `Npmpi`, `Npmpl`, `Npmpn`, `Npmsan`, `Npmsay`, `Npmsd`, `Npmsg`, `Npmsi`, `Npmsl`, `Npmsn`, `Npmsv`, `Npnpg`, `Npnpn`, `Npnsa`, `Npnsd`, `Npnsg`, `Npnsi`, `Npnsl`, `Npnsn`, `Pd-fpa`, `Pd-fpd`, `Pd-fpg`, `Pd-fpi`, `Pd-fpl`, `Pd-fpn`, `Pd-fsa`, `Pd-fsd`, `Pd-fsg`, `Pd-fsi`, `Pd-fsl`, `Pd-fsn`, `Pd-mpa`, `Pd-mpd`, `Pd-mpg`, `Pd-mpi`, `Pd-mpl`, `Pd-mpn`, `Pd-msan`, `Pd-msay`, `Pd-msd`, `Pd-msg`, `Pd-msi`, `Pd-msl`, `Pd-msn`, `Pd-npa`, `Pd-npd`, `Pd-npg`, `Pd-npi`, `Pd-npn`, `Pd-nsa`, `Pd-nsd`, `Pd-nsg`, `Pd-nsi`, `Pd-nsl`, `Pd-nsn`, `Pi-fpa`, `Pi-fpd`, `Pi-fpg`, `Pi-fpi`, `Pi-fpl`, `Pi-fpn`, `Pi-fsa`, `Pi-fsd`, `Pi-fsg`, `Pi-fsi`, `Pi-fsl`, `Pi-fsn`, `Pi-mpa`, `Pi-mpd`, `Pi-mpg`, `Pi-mpi`, `Pi-mpl`, `Pi-mpn`, `Pi-msan`, `Pi-msay`, `Pi-msd`, `Pi-msg`, `Pi-msi`, `Pi-msl`, `Pi-msn`, `Pi-npa`, `Pi-npd`, `Pi-npg`, `Pi-npi`, `Pi-npl`, `Pi-npn`, `Pi-nsa`, `Pi-nsd`, `Pi-nsg`, `Pi-nsi`, `Pi-nsl`, `Pi-nsn`, `Pi3m-a`, `Pi3m-d`, `Pi3m-g`, `Pi3m-i`, `Pi3m-n`, `Pi3n-a`, `Pi3n-d`, `Pi3n-g`, `Pi3n-i`, `Pi3n-l`, `Pi3n-n`, `Pp1-pa`, `Pp1-pd`, `Pp1-pg`, `Pp1-pi`, `Pp1-pl`, `Pp1-pn`, `Pp1-sa`, `Pp1-sd`, `Pp1-si`, `Pp1-sl`, `Pp1-sn`, `Pp2-pa`, `Pp2-pd`, `Pp2-pg`, `Pp2-pn`, `Pp2-sa`, `Pp2-sd`, `Pp2-sg`, `Pp2-sl`, `Pp2-sn`, `Pp2-sv`, `Pp3-pa`, `Pp3-pd`, `Pp3-pg`, `Pp3-pi`, `Pp3-pl`, `Pp3fpn`, `Pp3fsa`, `Pp3fsd`, `Pp3fsg`, `Pp3fsi`, `Pp3fsl`, `Pp3fsn`, `Pp3mpn`, `Pp3msa`, `Pp3msd`, `Pp3msg`, `Pp3msi`, `Pp3msl`, `Pp3msn`, `Pp3npn`, `Pp3nsa`, `Pp3nsi`, `Pp3nsn`, `Pq-fpa`, `Pq-fpn`, `Pq-fsa`, `Pq-fsl`, `Pq-fsn`, `Pq-mpn`, `Pq-msn`, `Pq-nsn`, `Pq3m-d`, `Pq3m-n`, `Pq3n-a`, `Pq3n-l`, `Pq3n-n`, `Ps1fpa`, `Ps1fpd`, `Ps1fpg`, `Ps1fpl`, `Ps1fpn`, `Ps1fsa`, `Ps1fsd`, `Ps1fsg`, `Ps1fsi`, `Ps1fsl`, `Ps1fsn`, `Ps1fsv`, `Ps1mpa`, `Ps1mpd`, `Ps1mpg`, `Ps1mpi`, `Ps1mpl`, `Ps1mpn`, `Ps1mpv`, `Ps1msan`, `Ps1msay`, `Ps1msd`, `Ps1msg`, `Ps1msi`, `Ps1msl`, `Ps1msn`, `Ps1msv`, `Ps1npn`, `Ps1nsa`, `Ps1nsg`, `Ps1nsi`, `Ps1nsl`, `Ps1nsn`, `Ps2fpa`, `Ps2fpl`, `Ps2fpn`, `Ps2fsa`, `Ps2fsd`, `Ps2fsg`, `Ps2fsn`, `Ps2mpa`, `Ps2mpg`, `Ps2mpl`, `Ps2mpn`, `Ps2msan`, `Ps2msd`, `Ps2msg`, `Ps2msi`, `Ps2msl`, `Ps2msn`, `Ps2npn`, `Ps2nsa`, `Ps2nsg`, `Ps2nsi`, `Ps2nsl`, `Ps2nsn`, `Ps3fpa`, `Ps3fpg`, `Ps3fpl`, `Ps3fpn`, `Ps3fsa`, `Ps3fsd`, `Ps3fsg`, `Ps3fsi`, `Ps3fsl`, `Ps3fsn`, `Ps3mpa`, `Ps3mpd`, `Ps3mpg`, `Ps3mpi`, `Ps3mpl`, `Ps3mpn`, `Ps3msan`, `Ps3msay`, `Ps3msd`, `Ps3msg`, `Ps3msi`, `Ps3msl`, `Ps3msn`, `Ps3npa`, `Ps3npg`, `Ps3npl`, `Ps3npn`, `Ps3nsa`, `Ps3nsg`, `Ps3nsi`, `Ps3nsl`, `Ps3nsn`, `Px--sa`, `Px--sd`, `Px--sg`, `Px--si`, `Px--sl`, `Px-fpa`, `Px-fpg`, `Px-fpi`, `Px-fpl`, `Px-fsa`, `Px-fsd`, `Px-fsg`, `Px-fsi`, `Px-fsl`, `Px-mpa`, `Px-mpd`, `Px-mpg`, `Px-mpi`, `Px-mpl`, `Px-msan`, `Px-msay`, `Px-msd`, `Px-msg`, `Px-msi`, `Px-msl`, `Px-npa`, `Px-npg`, `Px-npi`, `Px-npl`, `Px-nsa`, `Px-nsg`, `Px-nsi`, `Px-nsl`, `Qo`, `Qq`, `Qr`, `Qz`, `Rgc`, `Rgp`, `Rgs`, `Rr`, `Sa`, `Sd`, `Sg`, `Si`, `Sl`, `Vaa1p`, `Vaa1s`, `Vaa2p`, `Vaa2s`, `Vaa3p`, `Vaa3s`, `Vae3s`, `Vam2p`, `Van`, `Vap-pf`, `Vap-pm`, `Vap-pn`, `Vap-sf`, `Vap-sm`, `Vap-sn`, `Var1p`, `Var1s`, `Var2p`, `Var2s`, `Var3p`, `Var3s`, `Vma3s`, `Vmm1p`, `Vmm2p`, `Vmm2s`, `Vmn`, `Vmp-pf`, `Vmp-pm`, `Vmp-pn`, `Vmp-sf`, `Vmp-sm`, `Vmp-sn`, `Vmr1p`, `Vmr1s`, `Vmr2p`, `Vmr2s`, `Vmr3p`, `Vmr3s`, `X`, `Xf`, `Y`, `Z` |
| **`morphologizer`** | `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Loc\|POS=ADP`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=ADP`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=ADV`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `NumType=Card\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `POS=VERB\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `POS=X`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `NumType=Ord\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `POS=PART\|Polarity=Neg`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|POS=ADP`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADV\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=PART`, `Gender=Neut\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Degree=Cmp\|POS=ADV`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADV\|Tense=Past\|VerbForm=Conv`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `POS=AUX\|VerbForm=Inf`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Degree=Pos\|POS=ADV\|PronType=Ind`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|POS=ADV\|PronType=Neg`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Pos\|POS=ADV\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `POS=NOUN`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Pos\|POS=ADV\|PronType=Tot`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=DET\|Polarity=Neg`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `NumType=Ord\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Case=Ins\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|POS=ADP`, `Degree=Sup\|POS=ADV`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `POS=ADV\|Tense=Pres\|VerbForm=Conv`, `Case=Ins\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Neut\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `NumType=Mult\|POS=NUM`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Gender=Neut\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `NumType=Mult\|POS=SYM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=DET`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Neg`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=SYM`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `POS=DET`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Neg`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=DET`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Loc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `POS=PROPN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Tot`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Gen\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=INTJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PART\|Polarity=Pos`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Tot`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|NumType=Mult\|POS=NUM`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Voc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Voc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Ins\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|POS=PRON\|PronType=Neg`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Voc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Voc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=DET`, `Mood=Ind\|Number=Sing\|POS=DET\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Case=Gen\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Gender=Neut\|Number=Sing\|POS=DET\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Voc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Voc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Voc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Neut\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Neg`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `advmod:emph`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `dislocated`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `list`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `5`, `7`, `9`, `10`, `12`, `14`, `16`, `17`, `19`, `21`, `23`, `25`, `27`, `29`, `31`, `33`, `35`, `38`, `40`, `41`, `43`, `45`, `47`, `49`, `51`, `53`, `56`, `58`, `60`, `62`, `64`, `65`, `67`, `69`, `71`, `73`, `75`, `76`, `79`, `82`, `84`, `86`, `88`, `90`, `92`, `94`, `96`, `98`, `100`, `102`, `104`, `106`, `110`, `112`, `114`, `116`, `118`, `120`, `124`, `126`, `128`, `129`, `130`, `132`, `134`, `136`, `139`, `141`, `142`, `145`, `148`, `150`, `151`, `153`, `154`, `156`, `158`, `159`, `161`, `162`, `164`, `165`, `166`, `168`, `170`, `172`, `175`, `176`, `177`, `179`, `181`, `186`, `188`, `189`, `192`, `194`, `197`, `199`, `201`, `202`, `204`, `205`, `208`, `210`, `212`, `214`, `217`, `219`, `221`, `223`, `225`, `227`, `229`, `231`, `233`, `235`, `237`, `241`, `243`, `245`, `247`, `249`, `251`, `253`, `255`, `173`, `256`, `257`, `259`, `262`, `264`, `266`, `269`, `270`, `271`, `273`, `275`, `276`, `279`, `280`, `281`, `282`, `283`, `284`, `286`, `288`, `290`, `291`, `293`, `295`, `296`, `298`, `300`, `302`, `303`, `304`, `305`, `307`, `308`, `309`, `311`, `313`, `315`, `317`, `318`, `321`, `323`, `325`, `326`, `329`, `331`, `333`, `335`, `336`, `337`, `338`, `339`, `340`, `341`, `343`, `226`, `346`, `347`, `349`, `350`, `351`, `353`, `355`, `358`, `360`, `363`, `365`, `366`, `368`, `371`, `374`, `376`, `379`, `381`, `382`, `384`, `385`, `387`, `389`, `391`, `393`, `396`, `398`, `400`, `402`, `403`, `405`, `406`, `408`, `410`, `412`, `415`, `418`, `419`, `421`, `425`, `426`, `428`, `429`, `431`, `432`, `433`, `435`, `436`, `438`, `439`, `440`, `441`, `442`, `444`, `446`, `448`, `450`, `452`, `454`, `456`, `457`, `459`, `461`, `462`, `465`, `466`, `468`, `469`, `471`, `473`, `475`, `477`, `479`, `481`, `483`, `484`, `485`, `487`, `488`, `489`, `492`, `493`, `494`, `495`, `497`, `500`, `501`, `502`, `507`, `508`, `512`, `513`, `516`, `517`, `519`, `520`, `521`, `524`, `525`, `526`, `528`, `529`, `531`, `532`, `534`, `535`, `536`, `538`, `539`, `543`, `545`, `546`, `547`, `548`, `550`, `552`, `554`, `555`, `557`, `559`, `561`, `564`, `566`, `567`, `570`, `571`, `572`, `573`, `575`, `576`, `579`, `583`, `584`, `585`, `586`, `588`, `590`, `592`, `594`, `597`, `598`, `601`, `603`, `605`, `606`, `608`, `610`, `613`, `614`, `617`, `619`, `622`, `623`, `624`, `627`, `629`, `631`, `633`, `635`, `637`, `639`, `641`, `643`, `644`, `646`, `647`, `648`, `650`, `652`, `656`, `657`, `661`, `663`, `664`, `666`, `669`, `670`, `672`, `674`, `676`, `678`, `680`, `681`, `682`, `684`, `685`, `686`, `687`, `688`, `689`, `690`, `692`, `693`, `695`, `696`, `698`, `699`, `701`, `702`, `705`, `706`, `707`, `708`, `710`, `712`, `714`, `715`, `716`, `717`, `718`, `719`, `721`, `722`, `723`, `724`, `727`, `728`, `729`, `732`, `733`, `737`, `738`, `739`, `740`, `741`, `742`, `744`, `745`, `748`, `750`, `752`, `754`, `756`, `758`, `760`, `762`, `763`, `764`, `765`, `768`, `770`, `772`, `773`, `774`, `775`, `777`, `778`, `780`, `782`, `783`, `786`, `788`, `789`, `790`, `792`, `795`, `796`, `798`, `801`, `802`, `805`, `807`, `809`, `811`, `813`, `816`, `818`, `820`, `822`, `824`, `825`, `826`, `829`, `833`, `835`, `838`, `840`, `841`, `842`, `843`, `845`, `847`, `849`, `851`, `854`, `855`, `857`, `859`, `860`, `861`, `863`, `865`, `866`, `867`, `868`, `869`, `872`, `874`, `876`, `878`, `879`, `882`, `884`, `885`, `886`, `887`, `890`, `891`, `892`, `893`, `894`, `895`, `896`, `898`, `899`, `901`, `903`, `904`, `906`, `907`, `909`, `910`, `911`, `912`, `913`, `915`, `916`, `918`, `920`, `922`, `923`, `924`, `925`, `926`, `927`, `929`, `930`, `933`, `934`, `935`, `937`, `938`, `940`, `942`, `944`, `945`, `946`, `947`, `948`, `949`, `951`, `953`, `955`, `958`, `959`, `960`, `961`, `962`, `964`, `965`, `967`, `969`, `974`, `976`, `977`, `979`, `980`, `981`, `983`, `985`, `986`, `988`, `989`, `990`, `991`, `993`, `994`, `996`, `998`, `1001`, `1002`, `1004`, `1007`, `1008`, `1010`, `1011`, `1014`, `1015`, `1017`, `1018`, `383`, `1020`, `1021`, `1022`, `1023`, `1024`, `1025`, `1027`, `1030`, `1032`, `1033`, `1035`, `1037`, `1038`, `1039`, `1041`, `1043`, `1044`, `1045`, `1046`, `1047`, `1048`, `1049`, `1051`, `1053`, `1055`, `1056`, `1059`, `1060`, `1063`, `1065`, `1066`, `1068`, `1069`, `1070`, `1072`, `1073`, `1074`, `1075`, `1077`, `1080`, `1081`, `1084`, `1085`, `1087`, `1089`, `1091`, `1092`, `1093`, `1094`, `1096`, `1097`, `1099`, `1101`, `1102`, `1103`, `1104`, `1105`, `1107`, `1109`, `1110`, `1113`, `1114`, `1115`, `1117`, `1118`, `1119`, `1120`, `1121`, `1122`, `1123`, `1124`, `1125`, `1126`, `1128`, `1131`, `1133`, `1134`, `1135`, `1137`, `1138`, `1140`, `1142`, `1143`, `1144`, `1146`, `1148`, `1149`, `1150`, `1151`, `1153`, `1154`, `1156`, `1158`, `1159`, `1160`, `1163`, `1165`, `1169`, `1172`, `1174`, `1177`, `1179`, `1181`, `1182`, `1184`, `1187`, `1189`, `1190`, `1193`, `1195`, `1196`, `1198`, `1199`, `1200`, `1203`, `1204`, `1205`, `1206`, `1207`, `1208`, `1209`, `1210`, `1211`, `1213`, `1214`, `1215`, `1216`, `1217`, `1218`, `1220`, `1222`, `1223`, `1225`, `1229`, `1230`, `1232`, `1233`, `1237`, `1238`, `1239`, `1242`, `1243`, `1244`, `1246`, `1249`, `1250`, `1251`, `1252`, `1255`, `1256`, `1257`, `1260`, `1262`, `1264`, `1266`, `1268`, `1270`, `1272`, `1274`, `1276`, `1277`, `1278`, `1279`, `1281`, `1282`, `1283`, `1285`, `1288`, `1290`, `1292`, `1294`, `1296`, `1298`, `1299`, `1300`, `1302`, `1303`, `1304`, `1306`, `1307`, `1309`, `1311`, `1313`, `1314`, `1315`, `1316`, `1318`, `1319`, `1320`, `1321`, `1322`, `1323`, `1325`, `1326`, `1327`, `1329`, `1331`, `1333`, `1334`, `1335`, `1337`, `1338`, `1340`, `1341`, `1342`, `1343`, `1345`, `1346`, `1349`, `1351`, `1353`, `1355`, `1357`, `1358`, `1361`, `1362`, `1363`, `1364`, `1365`, `1366`, `1367`, `1368`, `1369`, `1372`, `1324`, `1373`, `1374`, `1375`, `1376`, `1378`, `1380`, `1382`, `1383`, `1386`, `1388`, `1390`, `1392`, `1393`, `1394`, `1395`, `1396`, `1397`, `1398`, `1400`, `1401`, `1403`, `1404`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.97 |
| `TOKEN_P` | 99.97 |
| `TOKEN_R` | 99.96 |
| `TOKEN_ACC` | 99.99 |
| `SENTS_F` | 98.90 |
| `SENTS_P` | 99.06 |
| `SENTS_R` | 98.75 |
| `TAG_ACC` | 96.40 |
| `POS_ACC` | 98.50 |
| `MORPH_ACC` | 96.78 |
| `DEP_UAS` | 92.41 |
| `DEP_LAS` | 87.03 |
| `LEMMA_ACC` | 96.35 |
|
{"language": ["hr"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/hr_udv25_croatianset_trf
| null |
[
"spacy",
"token-classification",
"hr",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Indonesian-GSD
| Feature | Description |
| --- | --- |
| **Name** | `id_udv25_indonesiangsd_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1325 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `APP`, `ASP`, `ASP+PS2`, `ASP+PS3`, `ASP+T--`, `ASS`, `ASS+PS3`, `B--`, `B--+PS3`, `B--+T--`, `CC-`, `CC-+PS3`, `CC-+T--`, `CD-`, `CD-+PS3`, `CO-`, `CO-+PS3`, `D--`, `D--+PS2`, `D--+PS3`, `D--+T--`, `F--`, `F--+PS1`, `F--+PS2`, `F--+PS3`, `F--+T--`, `G--`, `G--+PS3`, `G--+T--`, `H--`, `H--+T--`, `I--`, `M--`, `M--+PS3`, `M--+T--`, `NOUN`, `NPD`, `NPD+PS2`, `NPD+PS3`, `NSD`, `NSD+PS1`, `NSD+PS2`, `NSD+PS3`, `NSD+T--`, `NSF`, `NSM`, `NSM+PS3`, `NUM`, `O--`, `PP1`, `PP1+T--`, `PP2`, `PP3`, `PP3+T--`, `PROPN`, `PS1`, `PS1+VSA`, `PS1+VSA+T--`, `PS2`, `PS2+VSA`, `PS3`, `PUNCT`, `R--`, `R--+PS1`, `R--+PS2`, `R--+PS3`, `S--`, `S--+PS3`, `T--`, `VERB`, `VPA`, `VSA`, `VSA+PS1`, `VSA+PS2`, `VSA+PS3`, `VSA+T--`, `VSP`, `VSP+PS3`, `VSP+T--`, `W--`, `W--+T--`, `X`, `X--`, `Z--` |
| **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `POS=DET\|PronType=Ind`, `Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Number=Sing\|POS=VERB\|Voice=Pass`, `POS=ADP`, `POS=PUNCT`, `Number=Sing\|POS=PROPN`, `POS=NOUN`, `POS=ADV`, `POS=CCONJ`, `Number=Sing\|POS=VERB\|Voice=Act`, `POS=VERB`, `POS=DET\|PronType=Tot`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `POS=SCONJ`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=DET\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Degree=Pos\|Number=Sing\|POS=NOUN`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `NumType=Card\|POS=DET\|PronType=Ind`, `Degree=Pos\|Number=Sing\|POS=ADP`, `Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Sing\|POS=VERB`, `POS=PRON\|PronType=Int`, `Number=Sing\|POS=ADV\|Voice=Act`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3\|Voice=Act`, `Number=Sing\|POS=ADP\|Voice=Act`, `POS=ADJ`, `Number[psor]=Sing\|POS=ADP\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|POS=DET`, `Degree=Pos\|Number=Sing\|POS=VERB`, `POS=PRON\|PronType=Dem`, `POS=PART\|Polarity=Neg`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Form\|PronType=Prs`, `Number=Sing\|POS=ADJ`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=SYM`, `POS=ADV\|PronType=Int`, `Clusivity=In\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Sing\|POS=ADJ\|Voice=Act`, `Degree=Pos\|Number=Sing\|POS=PROPN`, `Degree=Pos\|Number=Sing\|POS=ADV`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3\|Voice=Pass`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3\|Voice=Act`, `Number=Sing\|POS=PROPN\|Voice=Act`, `Number=Sing\|POS=NOUN\|Voice=Act`, `POS=DET`, `Number=Sing\|POS=DET\|Voice=Act`, `NumType=Card\|POS=PRON\|PronType=Ind`, `Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=3`, `Number=Sing\|POS=DET`, `Number=Sing\|POS=ADJ\|Voice=Pass`, `POS=CCONJ\|PronType=Dem`, `Number=Sing\|POS=ADP`, `Number=Sing\|POS=ADV`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Infm\|PronType=Prs`, `Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Number=Sing\|POS=PRON`, `POS=PRON`, `NumType=Card\|POS=ADV\|PronType=Ind`, `NumType=Card\|Number[psor]=Sing\|POS=NUM\|Person[psor]=3`, `Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs`, `POS=DET\|PronType=Int`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Degree=Pos\|Number=Sing\|POS=SCONJ`, `POS=PRON\|PronType=Ind`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3\|Voice=Pass`, `POS=VERB\|PronType=Ind`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Number=Sing\|POS=SCONJ`, `Degree=Sup\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3`, `Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Plur\|POS=NOUN`, `POS=ADV\|PronType=Dem`, `Number=Sing\|POS=VERB\|Person=1\|Voice=Act`, `Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=ADP\|Voice=Pass`, `Number[psor]=Sing\|POS=PART\|Person[psor]=3`, `Number=Sing\|POS=NOUN\|Voice=Pass`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=CCONJ\|Person[psor]=3`, `POS=PART`, `Number=Sing\|Number[psor]=Sing\|POS=PART\|Person[psor]=3\|Voice=Pass`, `Degree=Sup\|Number=Sing\|POS=ADV`, `Number=Sing\|POS=PRON\|Voice=Act`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=3\|Voice=Act`, `Gender=Masc\|Number=Sing\|POS=PROPN`, `Number[psor]=Sing\|POS=PRON\|Person[psor]=3\|PronType=Tot`, `Degree=Pos\|Number=Sing\|POS=X`, `POS=PRON\|PronType=Tot`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `POS=SCONJ\|PronType=Int`, `Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|Voice=Act`, `Number[psor]=Sing\|POS=DET\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=3`, `Clusivity=Ex\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=VERB\|Voice=Act`, `Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=3\|Voice=Act`, `Degree=Pos\|Number=Sing\|POS=NOUN\|Polarity=Neg`, `POS=X`, `Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Infm\|PronType=Prs`, `Number=Sing\|POS=PROPN\|Voice=Pass`, `POS=ADV\|Polarity=Neg`, `NumType=Card\|Number=Sing\|POS=NUM`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=2`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=3`, `Degree=Sup\|Number=Sing\|POS=PROPN`, `POS=PROPN\|Polarity=Neg`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=2\|Voice=Act`, `Number=Sing\|POS=PROPN\|Person=1\|Voice=Act`, `POS=SCONJ\|PronType=Dem`, `Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=2\|Voice=Act`, `Number=Sing\|POS=CCONJ`, `Degree=Sup\|Number=Sing\|POS=VERB`, `Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3\|Voice=Act`, `Degree=Pos\|Number=Sing\|POS=PRON`, `Number=Sing\|POS=ADV\|Voice=Pass`, `Number[psor]=Sing\|POS=ADP\|Person[psor]=2`, `Number=Sing\|POS=SYM`, `POS=ADJ\|Polarity=Neg`, `Degree=Pos\|NumType=Card\|Number=Sing\|POS=NUM`, `Number=Sing\|Number[psor]=Sing\|POS=SCONJ\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|POS=CCONJ`, `Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Number=Sing\|POS=CCONJ\|Voice=Act`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3\|Voice=Pass`, `Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=VERB\|PronType=Dem`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Sing\|POS=PART\|Voice=Act`, `Degree=Sup\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `POS=ADP\|PronType=Int`, `Number[psor]=Sing\|POS=VERB\|Person[psor]=3`, `Number[psor]=Sing\|POS=PRON\|Person[psor]=3\|PronType=Rel`, `Degree=Pos\|Number=Sing\|POS=AUX`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Number=Sing\|POS=SCONJ\|Voice=Pass`, `Degree=Sup\|Number=Sing\|POS=ADP`, `Number=Sing\|POS=SCONJ\|Voice=Act`, `NumType=Card\|POS=DET\|PronType=Int`, `Degree=Pos\|Number=Sing\|POS=PART\|Polarity=Neg`, `Degree=Sup\|Number=Sing\|POS=SCONJ`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Voice=Act`, `Number=Plur\|POS=ADJ`, `POS=VERB\|PronType=Int`, `Number=Sing\|POS=VERB\|Person=2\|Voice=Act`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=2`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=3\|PronType=Tot`, `POS=DET\|PronType=Rel`, `Number=Sing\|POS=NOUN\|Polarity=Neg`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `NumType=Card\|Number=Sing\|POS=NUM\|Voice=Act`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Number[psor]=Sing\|POS=DET\|Person[psor]=3\|PronType=Tot`, `Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=VERB\|Person=1`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=3`, `NumType=Card\|Number[psor]=Sing\|POS=DET\|Person[psor]=3\|PronType=Ind`, `POS=ADV\|PronType=Tot`, `Degree=Pos\|Number=Plur\|POS=ADV`, `Number=Plur\|POS=ADV\|Voice=Act`, `POS=CCONJ\|PronType=Int`, `Degree=Pos\|Number=Sing\|POS=PART`, `Number[psor]=Sing\|POS=PRON\|Person[psor]=2`, `Number=Plur\|POS=VERB`, `Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3\|Voice=Pass`, `Degree=Pos\|Number=Sing\|POS=PUNCT`, `Number[psor]=Sing\|POS=ADP\|Person[psor]=1`, `Degree=Sup\|Number=Sing\|POS=NOUN`, `Number[psor]=Sing\|POS=PART\|Person[psor]=3\|Polarity=Neg`, `Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3\|Voice=Act`, `POS=NOUN\|Polarity=Neg`, `Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2\|Voice=Act` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `case`, `cc`, `ccomp`, `compound`, `compound:plur`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `12`, `15`, `19`, `22`, `24`, `26`, `27`, `29`, `30`, `31`, `34`, `36`, `37`, `40`, `42`, `44`, `46`, `48`, `50`, `51`, `53`, `54`, `56`, `58`, `47`, `59`, `62`, `64`, `66`, `68`, `70`, `71`, `3`, `72`, `74`, `75`, `77`, `78`, `79`, `81`, `84`, `86`, `87`, `88`, `89`, `92`, `11`, `93`, `95`, `96`, `97`, `98`, `99`, `101`, `103`, `105`, `106`, `107`, `108`, `110`, `111`, `113`, `115`, `116`, `118`, `120`, `122`, `123`, `124`, `125`, `126`, `127`, `128`, `130`, `131`, `132`, `134`, `135`, `137`, `140`, `142`, `143`, `144`, `146`, `147`, `148`, `149`, `150`, `151`, `152`, `153`, `43`, `155`, `157`, `158`, `160`, `161`, `162`, `163`, `164`, `165`, `166`, `167`, `168`, `170`, `171`, `172`, `174`, `175`, `177`, `178`, `179`, `180`, `181`, `182`, `183`, `25`, `184`, `185`, `186`, `187`, `188`, `190`, `192`, `193`, `194`, `196`, `57`, `197`, `198`, `199`, `201`, `203`, `204`, `206`, `207`, `208`, `209`, `210`, `211`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.99 |
| `TOKEN_P` | 99.98 |
| `TOKEN_R` | 99.99 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 92.98 |
| `SENTS_P` | 92.40 |
| `SENTS_R` | 93.56 |
| `TAG_ACC` | 94.79 |
| `POS_ACC` | 93.17 |
| `MORPH_ACC` | 95.90 |
| `DEP_UAS` | 86.16 |
| `DEP_LAS` | 78.38 |
| `LEMMA_ACC` | 98.05 |
|
{"language": ["id"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/id_udv25_indonesiangsd_trf
| null |
[
"spacy",
"token-classification",
"id",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Korean-GSD
| Feature | Description |
| --- | --- |
| **Name** | `ko_udv25_koreangsd_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (2415 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `+SW`, `??`, `EC`, `EC+JX`, `ETM`, `IC`, `IC+VCP+ETM`, `IC+VV+EC`, `JC`, `JC+SN`, `JKB`, `JKB+JKG`, `JKB+JX`, `JKC`, `JKG`, `JKO`, `JKQ`, `JKQ+JX`, `JKS`, `JX`, `JX+JKO`, `JX+JX`, `JX+SN+NNB`, `MAG`, `MAG+JKB`, `MAG+JKB+JX`, `MAG+JKS`, `MAG+JX`, `MAG+JX+JX`, `MAG+MM`, `MAG+NNG`, `MAG+NNG+JKB`, `MAG+VA+EF`, `MAG+VCP+EC`, `MAG+VCP+EF`, `MAG+VCP+EP+EC`, `MAG+VCP+ETM`, `MAG+VCP+ETN`, `MAG+VV+EC`, `MAG+VV+EC+NNP+NNP`, `MAG+VV+EC+VX+EP+EC`, `MAG+VV+EF`, `MAG+VV+EP+EC`, `MAG+VV+EP+EF`, `MAG+VV+EP+ETM`, `MAG+VV+ETM`, `MAG+VV+ETN`, `MAG+XSA+EC`, `MAG+XSA+ETM`, `MAG+XSN`, `MAG+XSV+EC`, `MAG+XSV+EC+JKS`, `MAG+XSV+EC+JX`, `MAG+XSV+EC+VX+EC`, `MAG+XSV+EC+VX+EP+EC`, `MAG+XSV+EC+VX+EP+EF`, `MAG+XSV+EC+VX+EP+EP+EC`, `MAG+XSV+EF`, `MAG+XSV+EP+EC`, `MAG+XSV+EP+EF`, `MAG+XSV+EP+ETM`, `MAG+XSV+ETM`, `MAJ`, `MM`, `MM+NNB`, `MM+NNB+JKB`, `MM+NNB+JKG`, `MM+NNB+JX`, `MM+NNB+NNB+JKG`, `MM+NNB+VCP+EC`, `MM+NNB+VCP+ETM`, `MM+NNB+XSN`, `MM+NNB+XSN+JKB`, `MM+NNG`, `MM+NNG+JC`, `MM+NNG+JKB`, `MM+NNG+JKG`, `MM+NNG+JKO`, `MM+NNG+JKS`, `MM+NNG+JX`, `MM+NNG+NNG+JKG`, `MM+NNG+VCP+ETM`, `MM+NNG+XSN+VCP+ETM`, `MM+NNP`, `MM+NNP+JKS`, `MM+NNP+JX+JX`, `MM+SN+NR+NNB+XSN`, `NA`, `NNB`, `NNB+JC`, `NNB+JKB`, `NNB+JKB+JX`, `NNB+JKC`, `NNB+JKG`, `NNB+JKO`, `NNB+JKS`, `NNB+JX`, `NNB+JX+JKB`, `NNB+JX+JKO`, `NNB+JX+JKS`, `NNB+JX+VV+EF`, `NNB+NNB`, `NNB+NNB+JKG`, `NNB+NNB+JX`, `NNB+NNB+NNG+JKG`, `NNB+NNG`, `NNB+NNG+JKB`, `NNB+NNG+JKO`, `NNB+NNG+JX`, `NNB+NNG+XSN`, `NNB+NNP+JKB+JX`, `NNB+NNP+JKB+VCP+EF`, `NNB+NNP+JKG`, `NNB+VCP+EC`, `NNB+VCP+EC+JX`, `NNB+VCP+EF`, `NNB+VCP+EP+EF`, `NNB+VCP+EP+ETM`, `NNB+VCP+EP+ETN`, `NNB+VCP+ETM`, `NNB+VCP+ETM+NNG`, `NNB+VCP+ETM+NNG+JKB`, `NNB+VCP+ETN`, `NNB+XSA+EC`, `NNB+XSA+EP+EC`, `NNB+XSA+EP+EF`, `NNB+XSA+ETM`, `NNB+XSA+ETN`, `NNB+XSN`, `NNB+XSN+JC`, `NNB+XSN+JKB`, `NNB+XSN+JKG`, `NNB+XSN+JKS`, `NNB+XSN+JX`, `NNB+XSN+VCP+EF`, `NNG`, `NNG+EC`, `NNG+EC+EF`, `NNG+EF`, `NNG+JC`, `NNG+JKB`, `NNG+JKB+JC`, `NNG+JKB+JKB`, `NNG+JKB+JKG`, `NNG+JKB+JX`, `NNG+JKB+NNG+NNG+NNG+XSN+SL`, `NNG+JKB+VCP+EC`, `NNG+JKB+VCP+ETM`, `NNG+JKC`, `NNG+JKG`, `NNG+JKO`, `NNG+JKO+VV+EC`, `NNG+JKS`, `NNG+JKS+JX`, `NNG+JKS+VA+EC`, `NNG+JX`, `NNG+JX+JKB`, `NNG+JX+JKG`, `NNG+JX+JKO`, `NNG+JX+JKS`, `NNG+JX+JX`, `NNG+JX+VCP+EC`, `NNG+JX+VCP+EP+EF`, `NNG+JX+VV+EC`, `NNG+JX+VV+ETM`, `NNG+MAG`, `NNG+NA`, `NNG+NNB`, `NNG+NNB+JKB`, `NNG+NNB+JKB+JX`, `NNG+NNB+JKG`, `NNG+NNB+JKO`, `NNG+NNB+JKS`, `NNG+NNB+JX`, `NNG+NNB+NNG`, `NNG+NNB+NNP+JKB`, `NNG+NNB+VCP+EC`, `NNG+NNB+VCP+EF`, `NNG+NNB+VCP+ETM`, `NNG+NNB+VCP+ETM+NNG+JKG`, `NNG+NNG`, `NNG+NNG+ETN+JKB+JX`, `NNG+NNG+JC`, `NNG+NNG+JKB`, `NNG+NNG+JKB+JKG`, `NNG+NNG+JKB+JX`, `NNG+NNG+JKC`, `NNG+NNG+JKG`, `NNG+NNG+JKO`, `NNG+NNG+JKS`, `NNG+NNG+JX`, `NNG+NNG+JX+JKS`, `NNG+NNG+JX+JX`, `NNG+NNG+JX+JX+VV+EC`, `NNG+NNG+JX+NNG`, `NNG+NNG+MAG`, `NNG+NNG+NNB`, `NNG+NNG+NNB+JKB`, `NNG+NNG+NNB+JKO`, `NNG+NNG+NNB+JKS`, `NNG+NNG+NNB+JX`, `NNG+NNG+NNB+VCP+EC`, `NNG+NNG+NNB+VCP+ETM`, `NNG+NNG+NNG`, `NNG+NNG+NNG+JC`, `NNG+NNG+NNG+JKB`, `NNG+NNG+NNG+JKB+JKG`, `NNG+NNG+NNG+JKB+JX`, `NNG+NNG+NNG+JKG`, `NNG+NNG+NNG+JKO`, `NNG+NNG+NNG+JKS`, `NNG+NNG+NNG+JX`, `NNG+NNG+NNG+NNG`, `NNG+NNG+NNG+NNG+JC`, `NNG+NNG+NNG+NNG+JKB`, `NNG+NNG+NNG+NNG+JKO`, `NNG+NNG+NNG+NNG+JKS`, `NNG+NNG+NNG+NNG+JX`, `NNG+NNG+NNG+NNG+NNG`, `NNG+NNG+NNG+NNG+NNG+JKO`, `NNG+NNG+NNG+NNG+NNG+JKS`, `NNG+NNG+NNG+NNG+NNG+JX`, `NNG+NNG+NNG+NNG+VCP+EF`, `NNG+NNG+NNG+NNG+VCP+ETM`, `NNG+NNG+NNG+VCP+EC`, `NNG+NNG+NNG+VCP+EF`, `NNG+NNG+NNG+VCP+ETM`, `NNG+NNG+NNG+XSN`, `NNG+NNG+NNG+XSN+JKB`, `NNG+NNG+NNG+XSN+NNG+VCP+EC`, `NNG+NNG+NNP`, `NNG+NNG+SN+NNB+JX`, `NNG+NNG+SN+NNG`, `NNG+NNG+VCP+EC`, `NNG+NNG+VCP+EC+JX`, `NNG+NNG+VCP+EF`, `NNG+NNG+VCP+EP+EF`, `NNG+NNG+VCP+EP+ETM`, `NNG+NNG+VCP+ETM`, `NNG+NNG+VCP+ETN`, `NNG+NNG+VCP+ETN+JKB`, `NNG+NNG+VCP+ETN+JX`, `NNG+NNG+VV+ETN`, `NNG+NNG+XSN`, `NNG+NNG+XSN+JC`, `NNG+NNG+XSN+JKB`, `NNG+NNG+XSN+JKB+JX`, `NNG+NNG+XSN+JKG`, `NNG+NNG+XSN+JKO`, `NNG+NNG+XSN+JKS`, `NNG+NNG+XSN+JX`, `NNG+NNG+XSN+NNG+JX`, `NNG+NNG+XSN+VCP+EF`, `NNG+NNG+XSV+EC`, `NNG+NNG+XSV+EF`, `NNG+NNG+XSV+EP+EC`, `NNG+NNG+XSV+EP+EF`, `NNG+NNG+XSV+ETM`, `NNG+NNG+XSV+ETN`, `NNG+NNG+XSV+ETN+JKO`, `NNG+NNP`, `NNG+NNP+JKB`, `NNG+NNP+JKS`, `NNG+NNP+JX`, `NNG+NNP+JX+JKG`, `NNG+NNP+NNG`, `NNG+NNP+NNG+JKB`, `NNG+NNP+NNG+NNG`, `NNG+NNP+NNG+NNG+NNG+JKB+JX`, `NNG+NNP+NNP`, `NNG+SL`, `NNG+SL+JKS`, `NNG+SL+JX`, `NNG+SN`, `NNG+SN+JKB+JX`, `NNG+SN+JKG`, `NNG+SN+JKO`, `NNG+SN+NNB`, `NNG+SN+NNB+JKB`, `NNG+SN+NNG`, `NNG+SN+NNG+JX`, `NNG+SN+NNG+NNG+JKG`, `NNG+SN+SL+JX`, `NNG+VA+EC`, `NNG+VA+EF`, `NNG+VA+ETM`, `NNG+VA+ETN`, `NNG+VCN+EP+EC`, `NNG+VCP+EC`, `NNG+VCP+EC+JKO`, `NNG+VCP+EC+JKS`, `NNG+VCP+EC+JX`, `NNG+VCP+EF`, `NNG+VCP+EP+EC`, `NNG+VCP+EP+EC+JX`, `NNG+VCP+EP+EF`, `NNG+VCP+EP+ETM`, `NNG+VCP+EP+ETN`, `NNG+VCP+ETM`, `NNG+VCP+ETM+NNB`, `NNG+VCP+ETN`, `NNG+VCP+ETN+JKB`, `NNG+VCP+ETN+JKB+JX`, `NNG+VCP+ETN+JKO`, `NNG+VCP+ETN+JKS`, `NNG+VCP+ETN+JX`, `NNG+VV`, `NNG+VV+EC`, `NNG+VV+EC+VCP+EC`, `NNG+VV+EC+VX+EC`, `NNG+VV+EC+VX+ETM`, `NNG+VV+EF`, `NNG+VV+EP+EC`, `NNG+VV+EP+EF`, `NNG+VV+EP+ETM`, `NNG+VV+ETM`, `NNG+VV+ETN`, `NNG+VV+ETN+JKS`, `NNG+VV+ETN+NNG`, `NNG+XPN+NNG`, `NNG+XPN+NNG+JKO`, `NNG+XPN+NNP+JKG`, `NNG+XSA+EC`, `NNG+XSA+EC+VX+EC`, `NNG+XSA+EF`, `NNG+XSA+EP+EF`, `NNG+XSA+ETM`, `NNG+XSA+ETN`, `NNG+XSA+ETN+JC`, `NNG+XSA+ETN+JKO`, `NNG+XSA+ETN+JKS`, `NNG+XSN`, `NNG+XSN+JC`, `NNG+XSN+JKB`, `NNG+XSN+JKB+JKB`, `NNG+XSN+JKB+JKG`, `NNG+XSN+JKB+JX`, `NNG+XSN+JKG`, `NNG+XSN+JKO`, `NNG+XSN+JKS`, `NNG+XSN+JKS+JX`, `NNG+XSN+JX`, `NNG+XSN+JX+JKO`, `NNG+XSN+MAG`, `NNG+XSN+NNG`, `NNG+XSN+NNG+JKG`, `NNG+XSN+NNG+JKO`, `NNG+XSN+NNG+JX`, `NNG+XSN+NNG+NNG+JC`, `NNG+XSN+VCP+EC`, `NNG+XSN+VCP+EF`, `NNG+XSN+VCP+EP+EC`, `NNG+XSN+VCP+EP+ETM`, `NNG+XSN+VCP+EP+ETN`, `NNG+XSN+VCP+ETM`, `NNG+XSN+XSN`, `NNG+XSN+XSN+JC`, `NNG+XSN+XSN+JKB`, `NNG+XSN+XSN+JKG`, `NNG+XSN+XSN+JKO`, `NNG+XSN+XSN+JKS`, `NNG+XSN+XSN+JX`, `NNG+XSN+XSN+VCP+EC`, `NNG+XSN+XSV+EC`, `NNG+XSN+XSV+EF`, `NNG+XSN+XSV+EP+EC`, `NNG+XSN+XSV+EP+EF`, `NNG+XSN+XSV+ETM`, `NNG+XSN+XSV+ETN`, `NNG+XSV+EC`, `NNG+XSV+EC+JKO`, `NNG+XSV+EC+JX`, `NNG+XSV+EC+NP+JKB`, `NNG+XSV+EC+VX+EC`, `NNG+XSV+EC+VX+EF`, `NNG+XSV+EC+VX+EP+EC`, `NNG+XSV+EC+VX+EP+EF`, `NNG+XSV+EC+VX+EP+ETM`, `NNG+XSV+EC+VX+ETM`, `NNG+XSV+EC+VX+ETN`, `NNG+XSV+EC+VX+ETN+JKO`, `NNG+XSV+EF`, `NNG+XSV+EP+EC`, `NNG+XSV+EP+EC+JKB`, `NNG+XSV+EP+EC+JX`, `NNG+XSV+EP+EF`, `NNG+XSV+EP+EP+EC`, `NNG+XSV+EP+EP+ETM`, `NNG+XSV+EP+ETM`, `NNG+XSV+EP+ETN`, `NNG+XSV+EP+ETN+JKO`, `NNG+XSV+ETM`, `NNG+XSV+ETM+NNB`, `NNG+XSV+ETM+NNB+XSA+ETM`, `NNG+XSV+ETM+NNG`, `NNG+XSV+ETM+NNG+JX`, `NNG+XSV+ETN`, `NNG+XSV+ETN+JC`, `NNG+XSV+ETN+JKB`, `NNG+XSV+ETN+JKB+JX`, `NNG+XSV+ETN+JKO`, `NNG+XSV+ETN+JKS`, `NNG+XSV+ETN+JX`, `NNP`, `NNP+JC`, `NNP+JKB`, `NNP+JKB+JKG`, `NNP+JKB+JKO`, `NNP+JKB+JX`, `NNP+JKC`, `NNP+JKG`, `NNP+JKG+NNG`, `NNP+JKO`, `NNP+JKS`, `NNP+JX`, `NNP+JX+JKG`, `NNP+NNB`, `NNP+NNB+JC`, `NNP+NNB+JKB`, `NNP+NNB+JKB+JX`, `NNP+NNB+JKG`, `NNP+NNB+JKO`, `NNP+NNB+JKS`, `NNP+NNB+JX`, `NNP+NNB+NNG+NNG+JKB+JX`, `NNP+NNB+XSN`, `NNP+NNB+XSN+JKO`, `NNP+NNG`, `NNP+NNG+JC`, `NNP+NNG+JKB`, `NNP+NNG+JKB+JKG`, `NNP+NNG+JKB+JX`, `NNP+NNG+JKG`, `NNP+NNG+JKO`, `NNP+NNG+JKS`, `NNP+NNG+JX`, `NNP+NNG+JX+JKB`, `NNP+NNG+JX+JX`, `NNP+NNG+NNB`, `NNP+NNG+NNB+JKS`, `NNP+NNG+NNB+NNP+NNG+JKB`, `NNP+NNG+NNG`, `NNP+NNG+NNG+JC`, `NNP+NNG+NNG+JKB`, `NNP+NNG+NNG+JKB+JKG`, `NNP+NNG+NNG+JKB+JX`, `NNP+NNG+NNG+JKG`, `NNP+NNG+NNG+JKO`, `NNP+NNG+NNG+JKS`, `NNP+NNG+NNG+JX`, `NNP+NNG+NNG+MM`, `NNP+NNG+NNG+NNG`, `NNP+NNG+NNG+NNG+JC`, `NNP+NNG+NNG+NNG+JKG`, `NNP+NNG+NNG+NNG+JKO`, `NNP+NNG+NNG+NNG+JKS`, `NNP+NNG+NNG+NNG+NNG`, `NNP+NNG+NNG+NNP`, `NNP+NNG+VCP+EF`, `NNP+NNG+VCP+ETM`, `NNP+NNG+VV+ETN`, `NNP+NNG+XSN`, `NNP+NNG+XSN+JKB`, `NNP+NNG+XSN+JKG`, `NNP+NNG+XSN+JKO`, `NNP+NNG+XSN+JKS`, `NNP+NNG+XSV+ETN+JKS`, `NNP+NNP`, `NNP+NNP+JKB`, `NNP+NNP+JKG`, `NNP+NNP+JKS`, `NNP+NNP+NNB`, `NNP+NNP+NNG`, `NNP+NNP+NNG+NNG+NNG`, `NNP+NNP+NNG+NNP+NNB+JKO`, `NNP+NP`, `NNP+NP+JC`, `NNP+NP+NNB+JKS`, `NNP+SL`, `NNP+SL+JKB`, `NNP+SL+JKO`, `NNP+SL+JKS`, `NNP+SL+JX`, `NNP+SL+NNG+JKB`, `NNP+SN`, `NNP+SN+NNG`, `NNP+VA+ETM`, `NNP+VCP+EC`, `NNP+VCP+EF`, `NNP+VCP+EP+EC`, `NNP+VCP+ETM`, `NNP+VV+ETM`, `NNP+VV+NNP+NNG+NNG+JKG`, `NNP+XSN`, `NNP+XSN+JKB`, `NNP+XSN+JKB+JX`, `NNP+XSN+JKG`, `NNP+XSN+JKO`, `NNP+XSN+JKS`, `NNP+XSN+VCP+EC`, `NNP+XSN+VCP+EF`, `NNP+XSN+XSN+JX`, `NP`, `NP+EF`, `NP+JKB`, `NP+JKB+JX`, `NP+JKB+VCP+EC`, `NP+JKG`, `NP+JKO`, `NP+JKS`, `NP+JX`, `NP+JX+JKG`, `NP+JX+JX`, `NP+JX+VV+ETM`, `NP+NNB`, `NP+NNB+JKG`, `NP+NNB+JKO`, `NP+NNG`, `NP+NNG+JKB`, `NP+NNG+JKG`, `NP+NNG+XSN+JKG`, `NP+NP`, `NP+VA+EC+JX`, `NP+VA+ETM`, `NP+VCP+EC`, `NP+VCP+EC+JKB`, `NP+VCP+EF`, `NP+VCP+EP+EC`, `NP+VCP+ETN`, `NP+VV+EC`, `NP+XSN`, `NP+XSN+JKB`, `NP+XSN+JKC`, `NP+XSN+JKG`, `NP+XSN+JKO`, `NP+XSN+JKS`, `NP+XSN+JX`, `NP+XSN+XSN`, `NP+XSV+EC`, `NR`, `NR+JC`, `NR+JKB`, `NR+JKG`, `NR+JKO`, `NR+JKS`, `NR+JX`, `NR+JX+JKO`, `NR+NNB`, `NR+NNB+JKB`, `NR+NNB+JKB+JX`, `NR+NNB+JKG`, `NR+NNB+JKO`, `NR+NNB+JKS`, `NR+NNB+JX`, `NR+NNB+VCP+EP+EC`, `NR+NNG`, `NR+NNG+JKB`, `NR+NNG+JKB+JX`, `NR+NNG+JKG`, `NR+NR+JC`, `NR+NR+NNG+JKO`, `NR+SN+NNB`, `NR+SN+NNB+VCP+EP+EF`, `NR+VCP+EC`, `NR+VCP+EF`, `NR+VCP+EP+EC`, `NR+VCP+EP+EF`, `NR+VCP+ETM`, `NR+XSN`, `NR+XSN+JX`, `SE`, `SF`, `SH`, `SH+SL+SH`, `SL`, `SL+JC`, `SL+JKB`, `SL+JKB+JKG`, `SL+JKB+JX`, `SL+JKG`, `SL+JKO`, `SL+JKS`, `SL+JKS+JX`, `SL+JX`, `SL+MM+NNB`, `SL+NNB`, `SL+NNB+JKB`, `SL+NNB+JKG`, `SL+NNB+JKS`, `SL+NNB+JX`, `SL+NNG`, `SL+NNG+JC`, `SL+NNG+JKB`, `SL+NNG+JKG`, `SL+NNG+JKO`, `SL+NNG+JKS`, `SL+NNG+JX`, `SL+NNG+NNB+JKB`, `SL+NNG+NNG`, `SL+NNG+NNG+JKB`, `SL+NNG+VCP+EF`, `SL+NNG+XSN+JKS`, `SL+NNP`, `SL+NNP+NNG`, `SL+NNP+NNG+JKG`, `SL+NNP+NNP+JKB`, `SL+SF+SL+JKB`, `SL+SL`, `SL+SL+JC`, `SL+SL+JKG`, `SL+SL+SL`, `SL+SL+SL+JKG`, `SL+SL+VCP+ETM`, `SL+SN`, `SL+SN+JC`, `SL+SN+JKB`, `SL+SN+JKO`, `SL+SN+JX`, `SL+SN+NNG`, `SL+SN+SL`, `SL+SN+SN+SL`, `SL+SN+VCP+EC`, `SL+VCP+ETM`, `SL+VV+ETM`, `SL+XSA+EC`, `SL+XSN`, `SL+XSN+JKG`, `SN`, `SN+JC`, `SN+JKB`, `SN+JKG`, `SN+JKO`, `SN+JKS`, `SN+JX`, `SN+NNB`, `SN+NNB+JC`, `SN+NNB+JKB`, `SN+NNB+JKB+JX`, `SN+NNB+JKG`, `SN+NNB+JKO`, `SN+NNB+JKS`, `SN+NNB+JX`, `SN+NNB+JX+JKB`, `SN+NNB+JX+JKO`, `SN+NNB+JX+JX`, `SN+NNB+NNB`, `SN+NNB+NNB+JKB`, `SN+NNB+NNB+JKG`, `SN+NNB+NNG`, `SN+NNB+NNG+JC`, `SN+NNB+NNG+JKB`, `SN+NNB+NNG+JKO`, `SN+NNB+NNG+JKS`, `SN+NNB+NNG+JX`, `SN+NNB+NNG+VCP+EF`, `SN+NNB+SN+JKB`, `SN+NNB+SN+NNB`, `SN+NNB+SN+NNB+JKB`, `SN+NNB+SN+NNB+JKO`, `SN+NNB+SN+NNB+JX`, `SN+NNB+SN+NNB+SN+NNB+SN+NNB`, `SN+NNB+SN+NNB+VCP+EF`, `SN+NNB+SN+NNG+SN+NNG+JKG`, `SN+NNB+SN+NR`, `SN+NNB+VCP+EC`, `SN+NNB+VCP+EF`, `SN+NNB+VCP+EP+EC`, `SN+NNB+VCP+EP+EF`, `SN+NNB+VCP+EP+ETM`, `SN+NNB+VCP+ETM`, `SN+NNB+VCP+ETN+JKB`, `SN+NNB+XSN`, `SN+NNB+XSN+JKB`, `SN+NNB+XSN+JKO`, `SN+NNB+XSN+JKS`, `SN+NNB+XSN+JX+JX`, `SN+NNB+XSN+VCP+EF`, `SN+NNG`, `SN+NNG+JC`, `SN+NNG+JKB`, `SN+NNG+JKB+JX`, `SN+NNG+JKG`, `SN+NNG+JKO`, `SN+NNG+JKS`, `SN+NNG+JX`, `SN+NNG+NNG`, `SN+NNG+NNG+JKB`, `SN+NNG+NNG+JKO`, `SN+NNG+NNG+VCP+ETM`, `SN+NNG+SN+NNG`, `SN+NNG+SN+NNG+JKB`, `SN+NNG+SN+NNG+JKG`, `SN+NNG+VCP+EC`, `SN+NNG+VCP+EF`, `SN+NNG+VCP+ETM`, `SN+NNG+XSN`, `SN+NNG+XSN+JKB`, `SN+NNP+NNB+SN+NNB`, `SN+NR`, `SN+NR+JKB`, `SN+NR+JKS`, `SN+NR+JX`, `SN+NR+NNB`, `SN+NR+NNB+JKB`, `SN+NR+NNB+JKG`, `SN+NR+NNB+JKO`, `SN+NR+NNB+JKS`, `SN+NR+NNB+JX`, `SN+NR+NNB+SN+NR+NNB`, `SN+NR+NNB+VCP+EC`, `SN+NR+NNB+VCP+EF`, `SN+NR+NNB+XSN`, `SN+NR+NNG+JKG`, `SN+NR+NNG+SN+NNB`, `SN+NR+NNG+SN+NNG+VCP+ETM`, `SN+NR+NNG+SN+NR+SN+NNB`, `SN+NR+SN`, `SN+NR+SN+NNB`, `SN+NR+SN+NNB+JKB`, `SN+NR+SN+NNB+JKS`, `SN+NR+SN+NNB+XSA+EC+VV`, `SN+NR+SN+NNG`, `SN+NR+SN+NNG+JKG`, `SN+NR+SN+NNP`, `SN+NR+SN+NR`, `SN+NR+SN+NR+NNB`, `SN+NR+SN+NR+NNB+JKO`, `SN+NR+SN+NR+NNB+JX`, `SN+NR+SN+NR+NNB+VCP+EF`, `SN+NR+SN+NR+SN+NNB+JKB`, `SN+NR+SN+NR+SN+NNB+JKG`, `SN+NR+SN+NR+SN+NNB+JKO`, `SN+NR+SN+NR+SN+NR`, `SN+NR+SN+NR+SN+NR+NNB`, `SN+NR+SN+NR+SN+NR+SN+NNB+JKB`, `SN+NR+SN+NR+SN+NR+SN+NR`, `SN+NR+SN+NR+VCP+EF`, `SN+NR+SN+NR+XSN`, `SN+NR+SN+SL+NNG`, `SN+NR+XSN`, `SN+NR+XSN+NNB+JKO`, `SN+NR+XSN+NNB+JKS`, `SN+SL`, `SN+SL+JKB`, `SN+SL+JKG`, `SN+SL+JKO`, `SN+SL+JKS`, `SN+SL+NNG`, `SN+SL+NNG+JKO`, `SN+SL+NNG+JX`, `SN+SL+SN+JKS`, `SN+SL+VCP+EC`, `SN+SN`, `SN+SN+JKB`, `SN+SN+NNB`, `SN+SN+NNB+JKG`, `SN+SN+NNG`, `SN+SN+NNG+JX`, `SN+SN+SL`, `SN+SN+SL+JKB`, `SN+SN+SN`, `SN+SN+SN+SN`, `SN+VCP+ETM`, `SN+XSN`, `SN+XSN+JKB+JX`, `SN+XSN+JKG`, `SN+XSN+JKO`, `SN+XSN+NNB`, `SN+XSN+NNB+JKB`, `SN+XSN+NNB+JKG`, `SN+XSN+NNB+JKS`, `SN+XSN+NNB+NNB`, `SN+XSN+SL+JKG`, `SN+XSN+XSN+JX`, `SO`, `SP`, `SS`, `SW`, `VA`, `VA+EC`, `VA+EC+EC`, `VA+EC+JKO`, `VA+EC+JKS`, `VA+EC+JX`, `VA+EC+JX+JX`, `VA+EC+VCP+EC`, `VA+EC+VCP+EF`, `VA+EC+VV+ETM`, `VA+EC+VX+EC`, `VA+EC+VX+EF`, `VA+EC+VX+EP+EC`, `VA+EC+VX+EP+EF`, `VA+EC+VX+EP+ETM`, `VA+EC+VX+ETM`, `VA+EC+VX+ETN`, `VA+EF`, `VA+EF+ETM+NNG`, `VA+EP+EC`, `VA+EP+EF`, `VA+EP+ETM`, `VA+EP+ETN`, `VA+ETM`, `VA+ETM+EC`, `VA+ETM+NNB`, `VA+ETM+NNB+JKG`, `VA+ETM+NNB+XSA+ETM`, `VA+ETM+NNG`, `VA+ETM+NNG+JKG`, `VA+ETN`, `VA+ETN+JKB`, `VA+ETN+JKB+JX`, `VA+ETN+JKG`, `VA+ETN+JX`, `VCN+EC`, `VCN+EC+JX`, `VCN+EF`, `VCN+EP+EC`, `VCN+EP+ETM`, `VCN+ETM`, `VCN+ETN`, `VCP+EC`, `VCP+EC+SN`, `VCP+EC+VX+EC`, `VCP+EF`, `VCP+EP+EC`, `VCP+EP+EF`, `VCP+EP+ETM`, `VCP+ETM`, `VV`, `VV+EC`, `VV+EC+EC`, `VV+EC+EP+EC`, `VV+EC+EP+EF`, `VV+EC+ETN`, `VV+EC+JKB`, `VV+EC+JKG`, `VV+EC+JKG+NNG+JKO`, `VV+EC+JKO`, `VV+EC+JKS`, `VV+EC+JX`, `VV+EC+JX+JKG`, `VV+EC+JX+MM`, `VV+EC+JX+NNB+JKB`, `VV+EC+SH+JKB`, `VV+EC+VCP+EC`, `VV+EC+VCP+EF`, `VV+EC+VCP+EP`, `VV+EC+VCP+EP+EF`, `VV+EC+VCP+ETM`, `VV+EC+VV+EC`, `VV+EC+VV+EF`, `VV+EC+VV+EP+EC`, `VV+EC+VV+EP+EF`, `VV+EC+VV+ETM`, `VV+EC+VV+ETN`, `VV+EC+VV+ETN+NNB+JKB`, `VV+EC+VX+EC`, `VV+EC+VX+EC+JKG`, `VV+EC+VX+EC+VX+EF`, `VV+EC+VX+EF`, `VV+EC+VX+EP+EC`, `VV+EC+VX+EP+EF`, `VV+EC+VX+EP+EP+EC`, `VV+EC+VX+EP+EP+EF`, `VV+EC+VX+EP+ETM`, `VV+EC+VX+EP+ETN`, `VV+EC+VX+ETM`, `VV+EC+VX+ETM+NNB`, `VV+EC+VX+ETM+NNB+XSA+EC`, `VV+EC+VX+ETN`, `VV+EC+VX+ETN+EC`, `VV+EC+VX+ETN+JKB`, `VV+EC+VX+ETN+JKG`, `VV+EC+VX+ETN+JX`, `VV+EC+XSN`, `VV+EC+XSN+JKS`, `VV+EC+XSN+XSN+JKB`, `VV+EF`, `VV+EP+EC`, `VV+EP+EC+JX`, `VV+EP+EC+VCP+EC`, `VV+EP+EC+VX+EC`, `VV+EP+EC+VX+EP+EF`, `VV+EP+EF`, `VV+EP+EF+EC`, `VV+EP+EP+EC`, `VV+EP+EP+EF`, `VV+EP+EP+EP+EC`, `VV+EP+EP+ETN`, `VV+EP+ETM`, `VV+EP+ETN`, `VV+EP+ETN+JKO`, `VV+ETM`, `VV+ETM+NNB`, `VV+ETM+NNB+JKB`, `VV+ETM+NNB+JKG`, `VV+ETM+NNB+JKS`, `VV+ETM+NNB+JX`, `VV+ETM+NNB+NNG+JKB`, `VV+ETM+NNB+VCP+EC`, `VV+ETM+NNB+XSA+EC`, `VV+ETM+NNB+XSA+EP+EC`, `VV+ETM+NNB+XSA+ETM`, `VV+ETM+NNB+XSN+JKG`, `VV+ETM+NNG`, `VV+ETM+NNG+NNG+NNG`, `VV+ETM+NNG+NNG+NNG+NNG+NNG+NNG`, `VV+ETM+NNP`, `VV+ETM+NNP+JX+JKG`, `VV+ETM+VV+EC`, `VV+ETN`, `VV+ETN+JKB`, `VV+ETN+JKB+JX`, `VV+ETN+JKO`, `VV+ETN+JKS`, `VV+ETN+JX`, `VV+ETN+JX+JX`, `VV+ETN+MAG`, `VV+ETN+VA+ETM`, `VV+ETN+VCP+EF`, `VV+ETN+VCP+EP+EF`, `VV+NNG+JKG`, `VV+NNG+JKO`, `VV+NNP`, `VV+VV+EP+EC`, `VX+EC`, `VX+EC+JKB`, `VX+EC+JKO`, `VX+EC+JX`, `VX+EC+VX+EC`, `VX+EC+VX+EF`, `VX+EC+VX+EP+EC`, `VX+EC+VX+ETM`, `VX+EF`, `VX+EP+EC`, `VX+EP+EF`, `VX+EP+EF+ETM+NNG`, `VX+EP+EP+EC`, `VX+EP+ETM`, `VX+EP+ETN`, `VX+EP+ETN+JKO`, `VX+EP+ETN+NNB+JKB`, `VX+ETM`, `VX+ETN`, `VX+ETN+JKO`, `VX+ETN+JKS`, `VX+ETN+JX`, `XPN`, `XPN+NNC`, `XPN+NNG`, `XPN+NNG+JC`, `XPN+NNG+JKB`, `XPN+NNG+JKB+JX`, `XPN+NNG+JKG`, `XPN+NNG+JKO`, `XPN+NNG+JKS`, `XPN+NNG+JX`, `XPN+NNG+NNB+JX`, `XPN+NNG+NNG`, `XPN+NNG+NNG+JKB`, `XPN+NNG+NNG+JKG`, `XPN+NNG+NNG+JKO`, `XPN+NNG+NNG+JKS`, `XPN+NNG+NNG+JX`, `XPN+NNG+NNG+NNG`, `XPN+NNG+NNG+NNG+JX`, `XPN+NNG+VCP+EC`, `XPN+NNG+VCP+EF`, `XPN+NNG+VCP+EP+EF`, `XPN+NNG+VCP+ETM`, `XPN+NNG+XSA+EC`, `XPN+NNG+XSA+ETM`, `XPN+NNG+XSN`, `XPN+NNG+XSN+JKB`, `XPN+NNG+XSN+JKB+JX`, `XPN+NNG+XSN+JKG`, `XPN+NNG+XSN+JKO`, `XPN+NNG+XSN+VCP+ETM`, `XPN+NNG+XSN+XSN+VCP+ETM`, `XPN+NNG+XSV+EC`, `XPN+NNG+XSV+EC+JX`, `XPN+NNG+XSV+EF`, `XPN+NNG+XSV+EP+EC`, `XPN+NNG+XSV+EP+EF`, `XPN+NNG+XSV+ETM`, `XPN+NNG+XSV+ETN+JX+JKG`, `XPN+NNP`, `XPN+NNP+JC`, `XPN+NNP+JKG`, `XPN+NNP+JX`, `XPN+NNP+NNG+JKS`, `XPN+NNP+VCP+EC`, `XPN+NNP+XSN`, `XPN+NNP+XSN+JKB`, `XPN+SN`, `XPN+SN+JKG`, `XPN+SN+NNB`, `XPN+SN+NNB+JKO`, `XPN+SN+NNB+VCP+ETM`, `XPN+SN+NNG`, `XPN+SN+NNG+JC`, `XPN+SN+NNG+JKB`, `XPN+SN+NNG+JKB+JKG`, `XPN+SN+NNG+JKG`, `XPN+SN+NNG+JKO`, `XPN+SN+NNG+JKS`, `XPN+SN+NNG+JX`, `XPN+SN+NNG+NNG`, `XPN+SN+NNG+NNG+JKB+JKG`, `XPN+SN+NNG+NNG+JKO`, `XPN+SN+NNP+JX`, `XPN+VV+EP+EP+EC`, `XPN+XR+JX`, `XPN+XR+XSA+EC`, `XPN+XR+XSA+EF`, `XPN+XR+XSA+ETM`, `XPN+XR+XSN+JKO`, `XR`, `XR+JKB`, `XR+JKB+JKB`, `XR+JKB+JKO`, `XR+NNG`, `XR+NNG+JKB`, `XR+NNG+JKS`, `XR+NNG+JX`, `XR+NNG+NNG`, `XR+NNG+NNG+JX`, `XR+NNG+NNG+NNG`, `XR+NNG+NNG+NNG+JX`, `XR+NNG+VCP+ETM`, `XR+XSA+EC`, `XR+XSA+EC+JX`, `XR+XSA+EC+NNB+JX`, `XR+XSA+EC+VX+EC`, `XR+XSA+EC+VX+EF`, `XR+XSA+EC+VX+EP+EF`, `XR+XSA+EC+VX+ETM`, `XR+XSA+EF`, `XR+XSA+EP+EC`, `XR+XSA+EP+EC+JX`, `XR+XSA+EP+EF`, `XR+XSA+EP+ETM`, `XR+XSA+ETM`, `XR+XSA+ETN`, `XR+XSA+ETN+JC`, `XR+XSA+ETN+JKB`, `XR+XSA+ETN+JKO`, `XR+XSA+ETN+JKS`, `XR+XSA+ETN+JX`, `XR+XSN`, `XR+XSN+JC`, `XR+XSN+JKB`, `XR+XSN+JKO`, `XR+XSN+JKS`, `XR+XSN+JX`, `XR+XSN+VCP+EC`, `XR+XSN+VCP+ETM`, `XR+XSV+EC`, `XR+XSV+ETM`, `XSA+ETM`, `XSN`, `XSN+JKB`, `XSN+JKS`, `XSN+JX`, `XSN+NNB+JKS`, `XSV+EC`, `XSV+ETM` |
| **`morphologizer`** | `POS=NOUN`, `POS=ADV`, `POS=VERB`, `POS=PUNCT`, `POS=ADP`, `NumType=Card\|POS=NUM`, `POS=PRON`, `POS=DET`, `POS=ADJ`, `POS=NUM`, `POS=PROPN`, `POS=CCONJ`, `POS=X`, `POS=SYM`, `POS=AUX`, `POS=PART`, `POS=INTJ`, `NumType=Card\|POS=PUNCT`, `NumType=Card\|POS=DET` |
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `det:poss`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `punct` |
| **`experimental_edit_tree_lemmatizer`** | `2`, `3`, `5`, `6`, `8`, `11`, `15`, `17`, `19`, `20`, `23`, `24`, `27`, `29`, `31`, `33`, `34`, `36`, `39`, `42`, `45`, `47`, `49`, `50`, `52`, `53`, `55`, `57`, `59`, `61`, `64`, `66`, `69`, `71`, `74`, `77`, `79`, `80`, `81`, `83`, `85`, `88`, `90`, `91`, `94`, `96`, `98`, `100`, `104`, `105`, `108`, `111`, `113`, `116`, `118`, `119`, `120`, `122`, `124`, `127`, `131`, `132`, `134`, `136`, `138`, `139`, `142`, `145`, `147`, `149`, `151`, `155`, `157`, `163`, `166`, `169`, `171`, `174`, `177`, `180`, `183`, `68`, `184`, `185`, `187`, `188`, `190`, `193`, `195`, `199`, `201`, `202`, `204`, `206`, `209`, `212`, `215`, `217`, `67`, `220`, `223`, `225`, `228`, `230`, `232`, `234`, `214`, `235`, `237`, `238`, `241`, `243`, `244`, `247`, `250`, `253`, `256`, `258`, `259`, `261`, `263`, `266`, `269`, `271`, `78`, `274`, `277`, `280`, `224`, `282`, `283`, `285`, `286`, `289`, `291`, `295`, `296`, `299`, `302`, `303`, `306`, `308`, `311`, `314`, `317`, `288`, `318`, `320`, `323`, `326`, `328`, `329`, `222`, `331`, `332`, `333`, `335`, `337`, `338`, `339`, `341`, `343`, `344`, `346`, `347`, `350`, `353`, `349`, `357`, `359`, `361`, `363`, `364`, `365`, `367`, `369`, `370`, `373`, `375`, `377`, `380`, `381`, `384`, `386`, `389`, `390`, `393`, `394`, `117`, `397`, `398`, `399`, `402`, `404`, `405`, `406`, `410`, `412`, `415`, `417`, `419`, `420`, `422`, `425`, `428`, `431`, `432`, `433`, `436`, `438`, `440`, `442`, `445`, `447`, `448`, `449`, `452`, `454`, `457`, `461`, `463`, `466`, `469`, `471`, `474`, `476`, `479`, `482`, `485`, `486`, `487`, `490`, `491`, `493`, `156`, `496`, `497`, `499`, `501`, `503`, `504`, `507`, `509`, `512`, `515`, `516`, `519`, `522`, `524`, `525`, `529`, `531`, `533`, `535`, `536`, `538`, `541`, `543`, `545`, `546`, `548`, `549`, `551`, `553`, `556`, `557`, `559`, `560`, `563`, `566`, `570`, `572`, `574`, `575`, `578`, `581`, `582`, `585`, `587`, `588`, `590`, `593`, `594`, `596`, `597`, `600`, `602`, 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`886`, `888`, `890`, `891`, `893`, `896`, `899`, `901`, `902`, `903`, `905`, `908`, `911`, `599`, `913`, `915`, `917`, `918`, `921`, `923`, `924`, `925`, `926`, `929`, `931`, `933`, `934`, `935`, `936`, `939`, `942`, `943`, `945`, `946`, `949`, `951`, `953`, `955`, `958`, `960`, `963`, `964`, `967`, `968`, `969`, `971`, `973`, `974`, `977`, `979`, `981`, `983`, `985`, `987`, `989`, `991`, `994`, `995`, `996`, `998`, `1001`, `1003`, `1005`, `1007`, `1009`, `1012`, `1014`, `1015`, `1016`, `1018`, `1021`, `1022`, `1024`, `1025`, `1026`, `1030`, `1033`, `1034`, `1035`, `1038`, `1040`, `1043`, `1044`, `1047`, `219`, `990`, `1048`, `1050`, `1052`, `1053`, `1056`, `1058`, `1060`, `1061`, `1063`, `1066`, `1067`, `1070`, `1071`, `1074`, `1075`, `1076`, `1078`, `1081`, `1083`, `1085`, `1088`, `1089`, `1090`, `1093`, `1095`, `1097`, `1098`, `1101`, `1103`, `1105`, `1108`, `1109`, `260`, `1112`, `1115`, `1116`, `1118`, `1119`, `1120`, `1121`, `1123`, `1125`, `1126`, `1128`, `1131`, `1133`, `1135`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.92 |
| `TOKEN_P` | 99.90 |
| `TOKEN_R` | 99.94 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 95.08 |
| `SENTS_P` | 95.54 |
| `SENTS_R` | 94.63 |
| `TAG_ACC` | 90.73 |
| `POS_ACC` | 96.49 |
| `MORPH_ACC` | 99.83 |
| `DEP_UAS` | 85.05 |
| `DEP_LAS` | 80.96 |
| `LEMMA_ACC` | 92.78 |
|
{"language": ["ko"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/ko_udv25_koreangsd_trf
| null |
[
"spacy",
"token-classification",
"ko",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Korean-Kaist
| Feature | Description |
| --- | --- |
| **Name** | `ko_udv25_koreankaist_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (5329 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ecs`, `etm`, `f`, `f+f+jcj`, `f+f+jcs`, `f+f+jct`, `f+f+jxt`, `f+jca`, `f+jca+jp+ecc`, `f+jca+jp+ep+ef`, `f+jca+jxc`, `f+jca+jxc+jcm`, `f+jca+jxt`, `f+jcj`, `f+jcm`, `f+jco`, `f+jcs`, `f+jct`, `f+jct+jcm`, `f+jp+ef`, `f+jp+ep+ef`, `f+jp+etm`, `f+jxc`, `f+jxt`, `f+ncn`, `f+ncn+jcm`, `f+ncn+jcs`, `f+ncn+jp+ecc`, `f+ncn+jxt`, `f+ncpa+jcm`, `f+npp+jcs`, `f+nq`, `f+xsn`, `f+xsn+jco`, `f+xsn+jxt`, `ii`, `jca`, `jca+jcm`, `jca+jxc`, `jca+jxt`, `jcc`, `jcj`, `jcm`, `jco`, `jcr`, `jcr+jxc`, `jcs`, `jct`, `jct+jcm`, `jct+jxt`, `jp+ecc`, `jp+ecs`, `jp+ef`, `jp+ef+jcr`, `jp+ef+jcr+jxc`, `jp+ep+ecs`, `jp+ep+ef`, `jp+ep+etm`, `jp+ep+etn`, `jp+etm`, `jp+etn`, `jp+etn+jco`, `jp+etn+jxc`, `jxc`, `jxc+jca`, `jxc+jco`, `jxc+jcs`, `jxt`, `mad`, `mad+jxc`, `mad+jxt`, `mag`, `mag+jca`, `mag+jcm`, `mag+jcs`, `mag+jp+ef+jcr`, `mag+jxc`, `mag+jxc+jxc`, `mag+jxt`, `mag+xsn`, `maj`, `maj+jxc`, `maj+jxt`, `mma`, `mmd`, `nbn`, `nbn+jca`, `nbn+jca+jcj`, `nbn+jca+jcm`, `nbn+jca+jp+ef`, `nbn+jca+jxc`, `nbn+jca+jxt`, `nbn+jcc`, `nbn+jcj`, `nbn+jcm`, `nbn+jco`, `nbn+jcr`, `nbn+jcs`, `nbn+jct`, `nbn+jct+jcm`, `nbn+jct+jxt`, `nbn+jp+ecc`, `nbn+jp+ecs`, `nbn+jp+ecs+jca`, `nbn+jp+ecs+jcm`, `nbn+jp+ecs+jco`, `nbn+jp+ecs+jxc`, `nbn+jp+ecs+jxt`, `nbn+jp+ecx`, `nbn+jp+ef`, `nbn+jp+ef+jca`, `nbn+jp+ef+jco`, `nbn+jp+ef+jcr`, `nbn+jp+ef+jcr+jxc`, `nbn+jp+ef+jcr+jxt`, `nbn+jp+ef+jcs`, `nbn+jp+ef+jxc`, `nbn+jp+ef+jxc+jco`, `nbn+jp+ef+jxf`, `nbn+jp+ef+jxt`, `nbn+jp+ep+ecc`, `nbn+jp+ep+ecs`, `nbn+jp+ep+ecs+jxc`, `nbn+jp+ep+ef`, `nbn+jp+ep+ef+jcr`, `nbn+jp+ep+etm`, `nbn+jp+ep+etn`, `nbn+jp+ep+etn+jco`, `nbn+jp+ep+etn+jcs`, `nbn+jp+etm`, `nbn+jp+etn`, `nbn+jp+etn+jca`, `nbn+jp+etn+jca+jxt`, `nbn+jp+etn+jco`, `nbn+jp+etn+jcs`, `nbn+jp+etn+jxc`, `nbn+jp+etn+jxt`, `nbn+jxc`, `nbn+jxc+jca`, `nbn+jxc+jca+jxc`, `nbn+jxc+jca+jxt`, `nbn+jxc+jcc`, `nbn+jxc+jcm`, `nbn+jxc+jco`, `nbn+jxc+jcs`, `nbn+jxc+jp+ef`, `nbn+jxc+jxc`, `nbn+jxc+jxt`, `nbn+jxt`, `nbn+nbn`, `nbn+nbn+jp+ef`, `nbn+xsm+ecs`, `nbn+xsm+ef`, `nbn+xsm+ep+ef`, `nbn+xsm+ep+ef+jcr`, `nbn+xsm+etm`, `nbn+xsn`, `nbn+xsn+jca`, `nbn+xsn+jca+jp+ef+jcr`, `nbn+xsn+jca+jxc`, `nbn+xsn+jca+jxt`, `nbn+xsn+jcm`, `nbn+xsn+jco`, `nbn+xsn+jcs`, `nbn+xsn+jct`, `nbn+xsn+jp+ecc`, `nbn+xsn+jp+ecs`, `nbn+xsn+jp+ef`, `nbn+xsn+jp+ef+jcr`, `nbn+xsn+jp+ep+ef`, `nbn+xsn+jxc`, `nbn+xsn+jxt`, `nbn+xsv+etm`, `nbu`, `nbu+jca`, `nbu+jca+jxc`, `nbu+jca+jxt`, `nbu+jcc`, `nbu+jcc+jxc`, `nbu+jcj`, `nbu+jcm`, `nbu+jco`, `nbu+jcs`, `nbu+jct`, `nbu+jct+jxc`, `nbu+jp+ecc`, `nbu+jp+ecs`, `nbu+jp+ef`, `nbu+jp+ef+jcr`, `nbu+jp+ef+jxc`, `nbu+jp+ep+ecc`, `nbu+jp+ep+ecs`, `nbu+jp+ep+ef`, `nbu+jp+ep+ef+jcr`, `nbu+jp+ep+etm`, `nbu+jp+ep+etn+jco`, `nbu+jp+etm`, `nbu+jxc`, `nbu+jxc+jca`, `nbu+jxc+jcs`, `nbu+jxc+jp+ef`, `nbu+jxc+jp+ep+ef`, `nbu+jxc+jxt`, `nbu+jxt`, `nbu+ncn`, `nbu+ncn+jca`, `nbu+ncn+jcm`, `nbu+xsn`, `nbu+xsn+jca`, `nbu+xsn+jca+jxc`, `nbu+xsn+jca+jxt`, `nbu+xsn+jcm`, `nbu+xsn+jco`, `nbu+xsn+jcs`, `nbu+xsn+jp+ecs`, `nbu+xsn+jp+ep+ef`, `nbu+xsn+jxc`, `nbu+xsn+jxc+jxt`, `nbu+xsn+jxt`, `nbu+xsv+ecc`, `nbu+xsv+etm`, `ncn`, `ncn+f+ncpa+jco`, `ncn+jca`, `ncn+jca+jca`, `ncn+jca+jcc`, `ncn+jca+jcj`, `ncn+jca+jcm`, `ncn+jca+jcs`, `ncn+jca+jct`, `ncn+jca+jp+ecc`, `ncn+jca+jp+ecs`, `ncn+jca+jp+ef`, `ncn+jca+jp+ep+ef`, `ncn+jca+jp+etm`, `ncn+jca+jp+etn+jxt`, `ncn+jca+jxc`, `ncn+jca+jxc+jcc`, `ncn+jca+jxc+jcm`, `ncn+jca+jxc+jxc`, `ncn+jca+jxc+jxt`, `ncn+jca+jxt`, `ncn+jcc`, `ncn+jcc+jxc`, `ncn+jcj`, `ncn+jcj+jxt`, `ncn+jcm`, `ncn+jco`, `ncn+jcr`, `ncn+jcr+jxc`, `ncn+jcs`, `ncn+jcs+jxt`, `ncn+jct`, `ncn+jct+jcm`, `ncn+jct+jxc`, `ncn+jct+jxt`, `ncn+jcv`, `ncn+jp+ecc`, `ncn+jp+ecc+jct`, `ncn+jp+ecc+jxc`, `ncn+jp+ecs`, `ncn+jp+ecs+jcm`, `ncn+jp+ecs+jco`, `ncn+jp+ecs+jxc`, `ncn+jp+ecs+jxt`, `ncn+jp+ecx`, `ncn+jp+ef`, `ncn+jp+ef+jca`, `ncn+jp+ef+jcm`, `ncn+jp+ef+jco`, `ncn+jp+ef+jcr`, `ncn+jp+ef+jcr+jxc`, `ncn+jp+ef+jcr+jxt`, `ncn+jp+ef+jp+etm`, `ncn+jp+ef+jxc`, `ncn+jp+ef+jxf`, `ncn+jp+ef+jxt`, `ncn+jp+ep+ecc`, `ncn+jp+ep+ecs`, `ncn+jp+ep+ecs+jxc`, `ncn+jp+ep+ecx`, `ncn+jp+ep+ef`, `ncn+jp+ep+ef+jcr`, `ncn+jp+ep+ef+jcr+jxc`, `ncn+jp+ep+ef+jxc`, `ncn+jp+ep+ef+jxf`, `ncn+jp+ep+ef+jxt`, `ncn+jp+ep+ep+etm`, `ncn+jp+ep+etm`, `ncn+jp+ep+etn`, `ncn+jp+ep+etn+jca`, `ncn+jp+ep+etn+jca+jxc`, `ncn+jp+ep+etn+jco`, `ncn+jp+ep+etn+jcs`, `ncn+jp+ep+etn+jxt`, `ncn+jp+etm`, `ncn+jp+etn`, `ncn+jp+etn+jca`, `ncn+jp+etn+jca+jxc`, `ncn+jp+etn+jca+jxt`, `ncn+jp+etn+jco`, `ncn+jp+etn+jcs`, `ncn+jp+etn+jct`, `ncn+jp+etn+jxc`, `ncn+jp+etn+jxt`, `ncn+jxc`, `ncn+jxc+jca`, `ncn+jxc+jca+jxc`, `ncn+jxc+jca+jxt`, `ncn+jxc+jcc`, `ncn+jxc+jcm`, `ncn+jxc+jco`, `ncn+jxc+jcs`, `ncn+jxc+jct+jxt`, `ncn+jxc+jp+ef`, `ncn+jxc+jp+ef+jcr`, `ncn+jxc+jp+ep+ecs`, `ncn+jxc+jp+ep+ef`, `ncn+jxc+jp+etm`, `ncn+jxc+jxc`, `ncn+jxc+jxt`, `ncn+jxt`, `ncn+jxt+jcm`, `ncn+jxt+jxc`, `ncn+nbn`, `ncn+nbn+jca`, `ncn+nbn+jcm`, `ncn+nbn+jcs`, `ncn+nbn+jp+ecc`, `ncn+nbn+jp+ep+ef`, `ncn+nbn+jxc`, `ncn+nbn+jxt`, `ncn+nbu`, `ncn+nbu+jca`, `ncn+nbu+jcm`, `ncn+nbu+jco`, `ncn+nbu+jp+ef`, `ncn+nbu+jxc`, `ncn+nbu+ncn`, `ncn+ncn`, `ncn+ncn+jca`, `ncn+ncn+jca+jcc`, `ncn+ncn+jca+jcm`, `ncn+ncn+jca+jxc`, `ncn+ncn+jca+jxc+jcm`, `ncn+ncn+jca+jxc+jxc`, `ncn+ncn+jca+jxt`, `ncn+ncn+jcc`, `ncn+ncn+jcj`, `ncn+ncn+jcm`, `ncn+ncn+jco`, `ncn+ncn+jcr`, `ncn+ncn+jcs`, `ncn+ncn+jct`, `ncn+ncn+jct+jcm`, `ncn+ncn+jct+jxc`, `ncn+ncn+jct+jxt`, `ncn+ncn+jp+ecc`, `ncn+ncn+jp+ecs`, `ncn+ncn+jp+ef`, `ncn+ncn+jp+ef+jcm`, `ncn+ncn+jp+ef+jcr`, `ncn+ncn+jp+ef+jcs`, `ncn+ncn+jp+ep+ecc`, `ncn+ncn+jp+ep+ecs`, `ncn+ncn+jp+ep+ef`, `ncn+ncn+jp+ep+ef+jcr`, `ncn+ncn+jp+ep+ep+etm`, `ncn+ncn+jp+ep+etm`, `ncn+ncn+jp+ep+etn`, `ncn+ncn+jp+etm`, `ncn+ncn+jp+etn`, `ncn+ncn+jp+etn+jca`, `ncn+ncn+jp+etn+jco`, `ncn+ncn+jp+etn+jxc`, `ncn+ncn+jxc`, `ncn+ncn+jxc+jca`, `ncn+ncn+jxc+jcc`, `ncn+ncn+jxc+jcm`, `ncn+ncn+jxc+jco`, `ncn+ncn+jxc+jcs`, `ncn+ncn+jxc+jxc`, `ncn+ncn+jxt`, `ncn+ncn+nbn`, `ncn+ncn+ncn`, `ncn+ncn+ncn+jca`, `ncn+ncn+ncn+jca+jcm`, `ncn+ncn+ncn+jca+jxt`, `ncn+ncn+ncn+jcj`, `ncn+ncn+ncn+jcm`, `ncn+ncn+ncn+jco`, `ncn+ncn+ncn+jcs`, `ncn+ncn+ncn+jct+jxt`, `ncn+ncn+ncn+jp+etn+jxc`, `ncn+ncn+ncn+jxt`, `ncn+ncn+ncn+ncn+jca`, `ncn+ncn+ncn+ncn+jca+jxt`, `ncn+ncn+ncn+ncn+jco`, `ncn+ncn+ncn+xsn+jp+etm`, `ncn+ncn+ncpa`, `ncn+ncn+ncpa+jca`, `ncn+ncn+ncpa+jcm`, `ncn+ncn+ncpa+jco`, `ncn+ncn+ncpa+jcs`, `ncn+ncn+ncpa+jxc`, `ncn+ncn+ncpa+jxt`, `ncn+ncn+ncpa+ncn`, `ncn+ncn+ncpa+ncn+jca`, `ncn+ncn+ncpa+ncn+jcj`, `ncn+ncn+ncpa+ncn+jcm`, `ncn+ncn+ncpa+ncn+jxt`, `ncn+ncn+xsn`, `ncn+ncn+xsn+jca`, `ncn+ncn+xsn+jca+jxt`, `ncn+ncn+xsn+jcj`, `ncn+ncn+xsn+jcm`, `ncn+ncn+xsn+jco`, `ncn+ncn+xsn+jcs`, `ncn+ncn+xsn+jct`, `ncn+ncn+xsn+jp+ecs`, `ncn+ncn+xsn+jp+ep+ef`, `ncn+ncn+xsn+jp+etm`, `ncn+ncn+xsn+jxc`, `ncn+ncn+xsn+jxc+jcs`, `ncn+ncn+xsn+jxt`, `ncn+ncn+xsv+ecc`, `ncn+ncn+xsv+etm`, `ncn+ncpa`, `ncn+ncpa+jca`, `ncn+ncpa+jca+jcm`, `ncn+ncpa+jca+jxc`, `ncn+ncpa+jca+jxt`, `ncn+ncpa+jcc`, `ncn+ncpa+jcj`, `ncn+ncpa+jcm`, `ncn+ncpa+jco`, `ncn+ncpa+jcr`, `ncn+ncpa+jcs`, `ncn+ncpa+jct`, `ncn+ncpa+jct+jcm`, `ncn+ncpa+jct+jxt`, `ncn+ncpa+jp+ecc`, `ncn+ncpa+jp+ecc+jxc`, `ncn+ncpa+jp+ecs`, `ncn+ncpa+jp+ecs+jxc`, `ncn+ncpa+jp+ef`, `ncn+ncpa+jp+ef+jcr`, `ncn+ncpa+jp+ef+jcr+jxc`, `ncn+ncpa+jp+ep+ef`, `ncn+ncpa+jp+ep+etm`, `ncn+ncpa+jp+ep+etn`, `ncn+ncpa+jp+etm`, `ncn+ncpa+jxc`, `ncn+ncpa+jxc+jca+jxc`, `ncn+ncpa+jxc+jco`, `ncn+ncpa+jxc+jcs`, `ncn+ncpa+jxt`, `ncn+ncpa+nbn+jcs`, `ncn+ncpa+ncn`, `ncn+ncpa+ncn+jca`, `ncn+ncpa+ncn+jca+jcm`, `ncn+ncpa+ncn+jca+jxc`, `ncn+ncpa+ncn+jca+jxt`, `ncn+ncpa+ncn+jcj`, `ncn+ncpa+ncn+jcm`, `ncn+ncpa+ncn+jco`, `ncn+ncpa+ncn+jcs`, `ncn+ncpa+ncn+jct`, `ncn+ncpa+ncn+jct+jcm`, `ncn+ncpa+ncn+jp+ef+jcr`, `ncn+ncpa+ncn+jp+ep+etm`, `ncn+ncpa+ncn+jxc`, `ncn+ncpa+ncn+jxt`, `ncn+ncpa+ncn+xsn+jcm`, `ncn+ncpa+ncn+xsn+jxt`, `ncn+ncpa+ncpa`, `ncn+ncpa+ncpa+jca`, `ncn+ncpa+ncpa+jcj`, `ncn+ncpa+ncpa+jcm`, `ncn+ncpa+ncpa+jco`, `ncn+ncpa+ncpa+jcs`, `ncn+ncpa+ncpa+jp+ep+ef`, `ncn+ncpa+ncpa+jxt`, `ncn+ncpa+ncpa+ncn`, `ncn+ncpa+xsn`, `ncn+ncpa+xsn+jcm`, `ncn+ncpa+xsn+jco`, `ncn+ncpa+xsn+jcs`, `ncn+ncpa+xsn+jp+ecc`, `ncn+ncpa+xsn+jp+etm`, `ncn+ncpa+xsn+jxt`, `ncn+ncpa+xsv+ecc`, `ncn+ncpa+xsv+ecs`, `ncn+ncpa+xsv+ecx`, `ncn+ncpa+xsv+ecx+px+etm`, `ncn+ncpa+xsv+ef`, `ncn+ncpa+xsv+ef+jcm`, `ncn+ncpa+xsv+ef+jcr`, `ncn+ncpa+xsv+etm`, `ncn+ncpa+xsv+etn`, `ncn+ncpa+xsv+etn+jco`, `ncn+ncps`, `ncn+ncps+jca`, `ncn+ncps+jcm`, `ncn+ncps+jco`, `ncn+ncps+jcs`, `ncn+ncps+jp+ecs`, `ncn+ncps+jxt`, `ncn+ncps+ncn+jcs`, `ncn+ncps+ncpa+ncn`, `ncn+ncps+xsm+ef`, `ncn+ncps+xsm+etm`, `ncn+nnc`, `ncn+nnc+jcs`, `ncn+nnc+nnc`, `ncn+nno`, `ncn+nq`, `ncn+nq+jca`, `ncn+nq+jca+jxc`, `ncn+nq+jca+jxt`, `ncn+nq+jcm`, `ncn+nq+jcs`, `ncn+nq+jxt`, `ncn+nq+ncn+jcm`, `ncn+nq+ncn+xsn+jcs`, `ncn+nq+xsn+jxt`, `ncn+xsa`, `ncn+xsm+ecc`, `ncn+xsm+ecs`, `ncn+xsm+ecs+jxc`, `ncn+xsm+ecx`, `ncn+xsm+ecx+jcs`, `ncn+xsm+ecx+px+ep+etm`, `ncn+xsm+ef`, `ncn+xsm+ef+jcr`, `ncn+xsm+etm`, `ncn+xsm+etn+jcm`, `ncn+xsm+etn+jp+ef+jcr`, `ncn+xsn`, `ncn+xsn+jca`, `ncn+xsn+jca+jcj`, `ncn+xsn+jca+jxc`, `ncn+xsn+jca+jxc+jxc`, `ncn+xsn+jca+jxt`, `ncn+xsn+jcc`, `ncn+xsn+jcj`, `ncn+xsn+jcm`, `ncn+xsn+jco`, `ncn+xsn+jcs`, `ncn+xsn+jcs+jxt`, `ncn+xsn+jct`, `ncn+xsn+jct+jcm`, `ncn+xsn+jct+jxc`, `ncn+xsn+jct+jxt`, `ncn+xsn+jcv`, `ncn+xsn+jp+ecc`, `ncn+xsn+jp+ecc+jxc`, `ncn+xsn+jp+ecs`, `ncn+xsn+jp+ecs+jxc`, `ncn+xsn+jp+ecx`, `ncn+xsn+jp+ecx+jxt`, `ncn+xsn+jp+ef`, `ncn+xsn+jp+ef+jca`, `ncn+xsn+jp+ef+jcr`, `ncn+xsn+jp+ep+ecc`, `ncn+xsn+jp+ep+ecs`, `ncn+xsn+jp+ep+ef`, `ncn+xsn+jp+ep+ef+jcr`, `ncn+xsn+jp+ep+etm`, `ncn+xsn+jp+ep+etn`, `ncn+xsn+jp+etm`, `ncn+xsn+jp+etn`, `ncn+xsn+jp+etn+jca`, `ncn+xsn+jp+etn+jca+jxt`, `ncn+xsn+jp+etn+jxc`, `ncn+xsn+jp+etn+jxt`, `ncn+xsn+jxc`, `ncn+xsn+jxc+jcm`, `ncn+xsn+jxc+jco`, `ncn+xsn+jxc+jcs`, `ncn+xsn+jxc+jxc`, `ncn+xsn+jxt`, `ncn+xsn+ncn+jca`, `ncn+xsn+ncn+jca+jxt`, `ncn+xsn+ncn+jcs`, `ncn+xsn+ncpa+jca`, `ncn+xsn+xsn`, `ncn+xsn+xsn+jca`, `ncn+xsn+xsn+jcm`, `ncn+xsn+xsn+jp+ecs`, `ncn+xsn+xsn+jxc`, `ncn+xsn+xsn+jxc+jcc`, `ncn+xsn+xsn+jxc+jcs`, `ncn+xsn+xsv+ecc`, `ncn+xsn+xsv+etm`, `ncn+xsn+xsv+etn`, `ncn+xsv+ecc`, `ncn+xsv+ecs`, `ncn+xsv+ecx`, `ncn+xsv+ef`, `ncn+xsv+ep+ecs`, `ncn+xsv+ep+ef`, `ncn+xsv+ep+etm`, `ncn+xsv+etm`, `ncn+xsv+etn+jca`, `ncpa`, `ncpa+jca`, `ncpa+jca+jcm`, `ncpa+jca+jct`, `ncpa+jca+jp+ecs`, `ncpa+jca+jp+ef`, `ncpa+jca+jp+ep+ef`, `ncpa+jca+jxc`, `ncpa+jca+jxc+jcm`, `ncpa+jca+jxc+jxc`, `ncpa+jca+jxc+jxt`, `ncpa+jca+jxt`, `ncpa+jcc`, `ncpa+jcj`, `ncpa+jcm`, `ncpa+jco`, `ncpa+jcr`, `ncpa+jcs`, `ncpa+jct`, `ncpa+jct+jcm`, `ncpa+jct+jxc`, `ncpa+jct+jxt`, `ncpa+jp+ecc`, `ncpa+jp+ecs`, `ncpa+jp+ecs+jxc`, `ncpa+jp+ecx`, `ncpa+jp+ecx+jxc`, `ncpa+jp+ef`, `ncpa+jp+ef+jca`, `ncpa+jp+ef+jco`, `ncpa+jp+ef+jcr`, `ncpa+jp+ef+jxc`, `ncpa+jp+ef+jxf`, `ncpa+jp+ep+ecc`, `ncpa+jp+ep+ecs`, `ncpa+jp+ep+ef`, `ncpa+jp+ep+ef+jca`, `ncpa+jp+ep+ef+jcr`, `ncpa+jp+ep+ef+jxt`, `ncpa+jp+ep+etm`, `ncpa+jp+ep+etn+jca`, `ncpa+jp+ep+etn+jca+jxc`, `ncpa+jp+ep+etn+jcs`, `ncpa+jp+etm`, `ncpa+jp+etn`, `ncpa+jp+etn+jca`, `ncpa+jp+etn+jca+jxt`, `ncpa+jp+etn+jco`, `ncpa+jp+etn+jcs`, `ncpa+jp+etn+jxc`, `ncpa+jp+etn+jxt`, `ncpa+jxc`, `ncpa+jxc+jca`, `ncpa+jxc+jca+jxc`, `ncpa+jxc+jca+jxt`, `ncpa+jxc+jcc`, `ncpa+jxc+jcm`, `ncpa+jxc+jco`, `ncpa+jxc+jcs`, `ncpa+jxc+jxc`, `ncpa+jxt`, `ncpa+jxt+jxc`, `ncpa+jxt+jxt`, `ncpa+nbn+jca`, `ncpa+nbn+jct`, `ncpa+nbn+jp+ef`, `ncpa+nbn+jp+ep+ef`, `ncpa+nbn+jp+etm`, `ncpa+nbn+jxc+jcc`, `ncpa+nbu+jca`, `ncpa+ncn`, `ncpa+ncn+jca`, `ncpa+ncn+jca+jcm`, `ncpa+ncn+jca+jxc`, `ncpa+ncn+jca+jxc+jcm`, `ncpa+ncn+jca+jxt`, `ncpa+ncn+jcc`, `ncpa+ncn+jcj`, `ncpa+ncn+jcm`, `ncpa+ncn+jco`, `ncpa+ncn+jcr`, `ncpa+ncn+jcs`, `ncpa+ncn+jct`, `ncpa+ncn+jct+jcm`, `ncpa+ncn+jct+jxc`, `ncpa+ncn+jp+ecc`, `ncpa+ncn+jp+ecs`, `ncpa+ncn+jp+ef`, `ncpa+ncn+jp+ef+jcr`, `ncpa+ncn+jp+ef+jcr+jxc`, `ncpa+ncn+jp+ep+ef`, `ncpa+ncn+jp+ep+etm`, `ncpa+ncn+jp+etm`, `ncpa+ncn+jp+etn+jca+jxt`, `ncpa+ncn+jp+etn+jco`, `ncpa+ncn+jp+etn+jxc`, `ncpa+ncn+jxc`, `ncpa+ncn+jxc+jcc`, `ncpa+ncn+jxc+jco`, `ncpa+ncn+jxt`, `ncpa+ncn+nbn`, `ncpa+ncn+ncn`, `ncpa+ncn+ncn+jca`, `ncpa+ncn+ncn+jca+jxt`, `ncpa+ncn+ncn+jcm`, `ncpa+ncn+ncn+jco`, `ncpa+ncn+ncn+jcs`, `ncpa+ncn+ncn+jp+ep+ef`, `ncpa+ncn+ncn+jp+etm`, `ncpa+ncn+ncn+jxt`, `ncpa+ncn+ncn+ncn`, `ncpa+ncn+ncn+xsn+jxt`, `ncpa+ncn+ncpa`, `ncpa+ncn+ncpa+jca`, `ncpa+ncn+ncpa+jcj`, `ncpa+ncn+ncpa+jco`, `ncpa+ncn+ncpa+ncn`, `ncpa+ncn+ncpa+ncn+jco`, `ncpa+ncn+xsn`, `ncpa+ncn+xsn+jca`, `ncpa+ncn+xsn+jca+jxc`, `ncpa+ncn+xsn+jcj`, `ncpa+ncn+xsn+jcm`, `ncpa+ncn+xsn+jco`, `ncpa+ncn+xsn+jcs`, `ncpa+ncn+xsn+jct`, `ncpa+ncn+xsn+jp+ep+ef`, `ncpa+ncn+xsn+jp+etm`, `ncpa+ncn+xsn+jxt`, `ncpa+ncpa`, `ncpa+ncpa+jca`, `ncpa+ncpa+jca+jcm`, `ncpa+ncpa+jca+jxc`, `ncpa+ncpa+jca+jxt`, `ncpa+ncpa+jcj`, `ncpa+ncpa+jcm`, `ncpa+ncpa+jco`, `ncpa+ncpa+jcs`, `ncpa+ncpa+jct`, `ncpa+ncpa+jct+jxc`, `ncpa+ncpa+jct+jxt`, `ncpa+ncpa+jp+ecc`, `ncpa+ncpa+jp+ecs`, `ncpa+ncpa+jp+ecx`, `ncpa+ncpa+jp+ef`, `ncpa+ncpa+jp+ef+jca`, `ncpa+ncpa+jp+ef+jcr`, `ncpa+ncpa+jp+ef+jcr+jxc`, `ncpa+ncpa+jp+ep+ecs`, `ncpa+ncpa+jp+etm`, `ncpa+ncpa+jxc`, `ncpa+ncpa+jxt`, `ncpa+ncpa+ncn`, `ncpa+ncpa+ncn+jca`, `ncpa+ncpa+ncn+jcj`, `ncpa+ncpa+ncn+jcm`, `ncpa+ncpa+ncn+jco`, `ncpa+ncpa+ncn+jcs`, `ncpa+ncpa+ncn+jxt`, `ncpa+ncpa+ncpa+jcm`, `ncpa+ncpa+ncpa+jcs`, `ncpa+ncpa+ncpa+ncpa+jco`, `ncpa+ncpa+xsn`, `ncpa+ncpa+xsn+jca`, `ncpa+ncpa+xsn+jcj`, `ncpa+ncpa+xsn+jco`, `ncpa+ncpa+xsn+jcs`, `ncpa+ncpa+xsn+jxc`, `ncpa+ncpa+xsn+jxt`, `ncpa+ncpa+xsv+ecc`, `ncpa+ncpa+xsv+ecs`, `ncpa+ncpa+xsv+ef`, `ncpa+ncpa+xsv+ep+ef`, `ncpa+ncpa+xsv+ep+etm`, `ncpa+ncpa+xsv+etm`, `ncpa+ncpa+xsv+etn+jca`, `ncpa+ncps`, `ncpa+ncps+jca`, `ncpa+ncps+jcm`, `ncpa+ncps+jco`, `ncpa+ncps+jcs`, `ncpa+ncps+jxt`, `ncpa+ncps+xsm+etm`, `ncpa+nq+jca`, `ncpa+xsa`, `ncpa+xsn`, `ncpa+xsn+jca`, `ncpa+xsn+jca+jxc`, `ncpa+xsn+jca+jxt`, `ncpa+xsn+jcc`, `ncpa+xsn+jcj`, `ncpa+xsn+jcm`, `ncpa+xsn+jco`, `ncpa+xsn+jcs`, `ncpa+xsn+jct`, `ncpa+xsn+jp+ecc`, `ncpa+xsn+jp+ecs`, `ncpa+xsn+jp+ecs+jxc`, `ncpa+xsn+jp+ecx`, `ncpa+xsn+jp+ecx+jxt`, `ncpa+xsn+jp+ef`, `ncpa+xsn+jp+ef+jcr`, `ncpa+xsn+jp+ef+jxf`, `ncpa+xsn+jp+ep+ecc`, `ncpa+xsn+jp+ep+ef`, `ncpa+xsn+jp+ep+ef+jco`, `ncpa+xsn+jp+ep+ef+jcr`, `ncpa+xsn+jp+etm`, `ncpa+xsn+jp+etn`, `ncpa+xsn+jp+etn+jco`, `ncpa+xsn+jp+etn+jxc`, `ncpa+xsn+jxc`, `ncpa+xsn+jxt`, `ncpa+xsv+ecc`, `ncpa+xsv+ecc+jcm`, `ncpa+xsv+ecc+jxc`, `ncpa+xsv+ecc+jxt`, `ncpa+xsv+ecs`, `ncpa+xsv+ecs+jca`, `ncpa+xsv+ecs+jco`, `ncpa+xsv+ecs+jp+ef`, `ncpa+xsv+ecs+jxc`, `ncpa+xsv+ecs+jxc+jxt`, `ncpa+xsv+ecs+jxt`, `ncpa+xsv+ecx`, `ncpa+xsv+ecx+jco`, `ncpa+xsv+ecx+jxc`, `ncpa+xsv+ecx+jxt`, `ncpa+xsv+ecx+px+ecc`, `ncpa+xsv+ecx+px+ecs`, `ncpa+xsv+ecx+px+ecx`, `ncpa+xsv+ecx+px+ecx+jxc`, `ncpa+xsv+ecx+px+ecx+px+ecs`, `ncpa+xsv+ecx+px+ef`, `ncpa+xsv+ecx+px+ef+jcr`, `ncpa+xsv+ecx+px+ep+ecc`, `ncpa+xsv+ecx+px+ep+ecs`, `ncpa+xsv+ecx+px+ep+ef`, `ncpa+xsv+ecx+px+ep+ef+jcr`, `ncpa+xsv+ecx+px+ep+etm`, `ncpa+xsv+ecx+px+ep+etn+jca`, `ncpa+xsv+ecx+px+ep+etn+jco`, `ncpa+xsv+ecx+px+ep+etn+jxc`, `ncpa+xsv+ecx+px+ep+etn+jxt`, `ncpa+xsv+ecx+px+etm`, `ncpa+xsv+ecx+px+etn`, `ncpa+xsv+ecx+px+etn+jca`, `ncpa+xsv+ecx+px+etn+jco`, `ncpa+xsv+ef`, `ncpa+xsv+ef+jca`, `ncpa+xsv+ef+jcj`, `ncpa+xsv+ef+jcm`, `ncpa+xsv+ef+jco`, `ncpa+xsv+ef+jcr`, `ncpa+xsv+ef+jcr+jxt`, `ncpa+xsv+ef+jcs`, `ncpa+xsv+ef+jxc`, `ncpa+xsv+ef+jxf`, `ncpa+xsv+ef+jxt`, `ncpa+xsv+ep+ecc`, `ncpa+xsv+ep+ecs`, `ncpa+xsv+ep+ecs+jco`, `ncpa+xsv+ep+ecs+jxc`, `ncpa+xsv+ep+ecs+jxt`, `ncpa+xsv+ep+ecx`, `ncpa+xsv+ep+ecx+jxc`, `ncpa+xsv+ep+ef`, `ncpa+xsv+ep+ef+jca`, `ncpa+xsv+ep+ef+jca+jxt`, `ncpa+xsv+ep+ef+jco`, `ncpa+xsv+ep+ef+jcr`, `ncpa+xsv+ep+ef+jcr+jxc`, `ncpa+xsv+ep+ef+jcr+jxc+jxt`, `ncpa+xsv+ep+ef+jxc`, `ncpa+xsv+ep+ef+jxf`, `ncpa+xsv+ep+ef+jxt`, `ncpa+xsv+ep+ep+ecs`, `ncpa+xsv+ep+ep+ef`, `ncpa+xsv+ep+etm`, `ncpa+xsv+ep+etn`, `ncpa+xsv+ep+etn+jca`, `ncpa+xsv+ep+etn+jca+jxc`, `ncpa+xsv+ep+etn+jcj`, `ncpa+xsv+ep+etn+jco`, `ncpa+xsv+ep+etn+jcs`, `ncpa+xsv+ep+etn+jxt`, `ncpa+xsv+etm`, `ncpa+xsv+etn`, `ncpa+xsv+etn+jca`, `ncpa+xsv+etn+jca+jxc`, `ncpa+xsv+etn+jca+jxt`, `ncpa+xsv+etn+jco`, `ncpa+xsv+etn+jcs`, `ncpa+xsv+etn+jct`, `ncpa+xsv+etn+jxc`, `ncpa+xsv+etn+jxc+jcm`, `ncpa+xsv+etn+jxc+jcs`, `ncpa+xsv+etn+jxc+jxc`, `ncpa+xsv+etn+jxc+jxt`, `ncpa+xsv+etn+jxt`, `ncps`, `ncps+jca`, `ncps+jca+jcm`, `ncps+jca+jxc`, `ncps+jca+jxc+jcm`, `ncps+jcc`, `ncps+jcj`, `ncps+jcm`, `ncps+jco`, `ncps+jcs`, `ncps+jct`, `ncps+jct+jcm`, `ncps+jct+jxt`, `ncps+jp+ecc`, `ncps+jp+ecs`, `ncps+jp+ecs+jxt`, `ncps+jp+ef`, `ncps+jp+ef+jcr`, `ncps+jp+ep+ef`, `ncps+jp+ep+etn`, `ncps+jp+etm`, `ncps+jp+etn+jcs`, `ncps+jp+etn+jxt`, `ncps+jxc`, `ncps+jxc+jxc`, `ncps+jxt`, `ncps+nbn+jp+etm`, `ncps+nbn+jxc`, `ncps+ncn`, `ncps+ncn+jca`, `ncps+ncn+jca+jcm`, `ncps+ncn+jcm`, `ncps+ncn+jco`, `ncps+ncn+jcs`, `ncps+ncn+jct+jxt`, `ncps+ncn+jp+ef`, `ncps+ncn+jp+ef+jcr`, `ncps+ncn+jp+etm`, `ncps+ncn+jxc+jco`, `ncps+ncn+jxt`, `ncps+ncn+ncn`, `ncps+ncn+ncn+jca+jxc`, `ncps+ncn+ncn+jcm`, `ncps+ncn+ncn+jco`, `ncps+ncn+ncn+jxt`, `ncps+ncn+xsn`, `ncps+ncn+xsn+jca`, `ncps+ncn+xsn+jcj`, `ncps+ncn+xsn+jco`, `ncps+ncn+xsn+jp+ecc`, `ncps+ncn+xsn+jp+etm`, `ncps+ncpa`, `ncps+ncpa+jca`, `ncps+ncpa+jcc`, `ncps+ncpa+jcj`, `ncps+ncpa+jcm`, `ncps+ncpa+jco`, `ncps+ncpa+jcs`, `ncps+ncpa+jp+etm`, `ncps+ncpa+jxt`, `ncps+ncpa+xsv+etm`, `ncps+ncps+jca`, `ncps+ncps+jcm`, `ncps+ncps+xsm+ecc`, `ncps+ncps+xsm+ecs`, `ncps+ncps+xsm+etm`, `ncps+xsa`, `ncps+xsa+jxc`, `ncps+xsm+ecc`, `ncps+xsm+ecc+jxc`, `ncps+xsm+ecc+jxt`, `ncps+xsm+ecs`, `ncps+xsm+ecs+jxc`, `ncps+xsm+ecs+jxt`, `ncps+xsm+ecx`, `ncps+xsm+ecx+jcs`, `ncps+xsm+ecx+jxc`, `ncps+xsm+ecx+jxt`, `ncps+xsm+ecx+px+ecc`, `ncps+xsm+ecx+px+ecs`, `ncps+xsm+ecx+px+ecx`, `ncps+xsm+ecx+px+ecx+jxt`, `ncps+xsm+ecx+px+ef`, `ncps+xsm+ecx+px+ep+ecs`, `ncps+xsm+ecx+px+ep+ef`, `ncps+xsm+ecx+px+ep+etm`, `ncps+xsm+ecx+px+ep+etn+jco`, `ncps+xsm+ecx+px+etm`, `ncps+xsm+ecx+px+etn`, `ncps+xsm+ecx+px+etn+jca`, `ncps+xsm+ecx+px+etn+jcj`, `ncps+xsm+ecx+px+etn+jco`, `ncps+xsm+ef`, `ncps+xsm+ef+jco`, `ncps+xsm+ef+jcr`, `ncps+xsm+ef+jcr+jxc`, `ncps+xsm+ef+jcr+jxt`, `ncps+xsm+ef+jxf`, `ncps+xsm+ef+jxt`, `ncps+xsm+ep+ecc`, `ncps+xsm+ep+ecs`, `ncps+xsm+ep+ecs+etm`, `ncps+xsm+ep+ef`, `ncps+xsm+ep+ef+jco`, `ncps+xsm+ep+ef+jcr`, `ncps+xsm+ep+ef+jxf`, `ncps+xsm+ep+ep+ef`, `ncps+xsm+ep+etm`, `ncps+xsm+ep+etn`, `ncps+xsm+ep+etn+jxt`, `ncps+xsm+etm`, `ncps+xsm+etn`, `ncps+xsm+etn+jca`, `ncps+xsm+etn+jca+jxt`, `ncps+xsm+etn+jcj`, `ncps+xsm+etn+jcm`, `ncps+xsm+etn+jco`, `ncps+xsm+etn+jcs`, `ncps+xsm+etn+jct`, `ncps+xsm+etn+jct+jcm`, `ncps+xsm+etn+jp+ef+jcr`, `ncps+xsm+etn+jp+etm`, `ncps+xsm+etn+jxc`, `ncps+xsm+etn+jxc+jxt`, `ncps+xsm+etn+jxt`, `ncps+xsn`, `ncps+xsn+jca`, `ncps+xsn+jca+jxt`, `ncps+xsn+jcm`, `ncps+xsn+jco`, `ncps+xsn+jcs`, `ncps+xsn+jp+ecc`, `ncps+xsn+jp+ep+ecs`, `ncps+xsn+jp+etm`, `ncps+xsn+jxc`, `ncps+xsn+jxt`, `ncps+xsv+etm`, `nnc`, `nnc+f`, `nnc+f+jca`, `nnc+f+jp+ef`, `nnc+jca`, `nnc+jca+jxc`, `nnc+jca+jxt`, `nnc+jcc`, `nnc+jcj`, `nnc+jcm`, `nnc+jco`, `nnc+jcs`, `nnc+jp+ecc`, `nnc+jp+ecs`, `nnc+jp+ef`, `nnc+jp+ef+jcr`, `nnc+jp+ep+ef`, `nnc+jp+ep+etm`, `nnc+jp+etm`, `nnc+jp+etn+jca`, `nnc+jxc`, `nnc+jxt`, `nnc+nbn`, `nnc+nbn+jcm`, `nnc+nbn+jco`, `nnc+nbn+nbu+jcc`, `nnc+nbn+nbu+jcs`, `nnc+nbn+xsn`, `nnc+nbu`, `nnc+nbu+jca`, `nnc+nbu+jca+jxc`, `nnc+nbu+jcc`, `nnc+nbu+jcj`, `nnc+nbu+jcm`, `nnc+nbu+jco`, `nnc+nbu+jcs`, `nnc+nbu+jp+ef`, `nnc+nbu+jp+ef+jcr`, `nnc+nbu+jp+ep+ecs`, `nnc+nbu+jp+ep+ef`, `nnc+nbu+jp+etm`, `nnc+nbu+jxc`, `nnc+nbu+jxc+jcs`, `nnc+nbu+jxc+jxt`, `nnc+nbu+jxt`, `nnc+nbu+nbu`, `nnc+nbu+nbu+jcm`, `nnc+nbu+nbu+jp+ef+jcr`, `nnc+nbu+ncn`, `nnc+nbu+ncn+jca`, `nnc+nbu+ncn+jcj`, `nnc+nbu+ncn+jcm`, `nnc+nbu+ncn+jxc`, `nnc+nbu+xsn`, `nnc+nbu+xsn+jca`, `nnc+nbu+xsn+jcm`, `nnc+nbu+xsn+jco`, `nnc+nbu+xsn+jcs`, `nnc+nbu+xsn+jp+ecc`, `nnc+nbu+xsn+jp+ef`, `nnc+nbu+xsn+jxc`, `nnc+nbu+xsn+jxc+jcm`, `nnc+nbu+xsn+jxt`, `nnc+nbu+xsv+etm`, `nnc+ncn`, `nnc+ncn+jca`, `nnc+ncn+jca+jxt`, `nnc+ncn+jcj`, `nnc+ncn+jcm`, `nnc+ncn+jco`, `nnc+ncn+jcs`, `nnc+ncn+jct`, `nnc+ncn+jp+ef`, `nnc+ncn+jp+etm`, `nnc+ncn+jxc`, `nnc+ncn+jxt`, `nnc+ncn+nbu`, `nnc+ncn+nbu+xsn+jca`, `nnc+ncn+ncn+jca+jxt`, `nnc+ncn+ncn+xsn`, `nnc+ncn+nnc+nnc`, `nnc+ncn+xsn`, `nnc+ncn+xsn+jp+etm`, `nnc+ncn+xsn+jxt`, `nnc+ncpa`, `nnc+ncpa+jcs`, `nnc+nnc`, `nnc+nnc+jca`, `nnc+nnc+jca+jxt`, `nnc+nnc+jcm`, `nnc+nnc+jco`, `nnc+nnc+jp+ef`, `nnc+nnc+nbu`, `nnc+nnc+nbu+jca`, `nnc+nnc+nbu+jcc`, `nnc+nnc+nbu+jcm`, `nnc+nnc+nbu+jco`, `nnc+nnc+nbu+jcs`, `nnc+nnc+nbu+jp+ep+ef`, `nnc+nnc+nbu+jp+etm`, `nnc+nnc+nbu+jxc`, `nnc+nnc+nbu+xsn`, `nnc+nnc+nbu+xsn+jcm`, `nnc+nnc+nbu+xsn+jxc`, `nnc+nnc+ncn+jco`, `nnc+nnc+nnc`, `nnc+nnc+nnc+nnc`, `nnc+nnc+su+jp+ef`, `nnc+nnc+xsn`, `nnc+nnc+xsn+jcm`, `nnc+nnc+xsn+nbu+jca`, `nnc+nnc+xsn+nbu+jcm`, `nnc+nnc+xsn+nbu+jco`, `nnc+nnc+xsn+nbu+jcs`, `nnc+nno+nbu`, `nnc+nno+nbu+jcc`, `nnc+su`, `nnc+su+jca`, `nnc+su+jcm`, `nnc+su+jco`, `nnc+su+jcs`, `nnc+su+jxc`, `nnc+su+xsn`, `nnc+xsn`, `nnc+xsn+jca`, `nnc+xsn+jca+jxt`, `nnc+xsn+jcm`, `nnc+xsn+jco`, `nnc+xsn+jcs`, `nnc+xsn+jp+ef`, `nnc+xsn+jxc`, `nnc+xsn+nbn+jca`, `nnc+xsn+nbu`, `nnc+xsn+nbu+jca`, `nnc+xsn+nbu+jcm`, `nnc+xsn+nbu+jco`, `nnc+xsn+nbu+jcs`, `nnc+xsn+nnc+nbu`, `nnc+xsn+nnc+nbu+jcm`, `nno`, `nno+jca`, `nno+jca+jxt`, `nno+jcj`, `nno+jcm`, `nno+jco`, `nno+jcs`, `nno+jxt`, `nno+nbn`, `nno+nbn+jcm`, `nno+nbn+xsn`, `nno+nbu`, `nno+nbu+jca`, `nno+nbu+jca+jxc`, `nno+nbu+jca+jxt`, `nno+nbu+jcc`, `nno+nbu+jcj`, `nno+nbu+jcm`, `nno+nbu+jco`, `nno+nbu+jcs`, `nno+nbu+jct`, `nno+nbu+jp+ecc`, `nno+nbu+jp+ecs`, `nno+nbu+jp+ef`, `nno+nbu+jp+ep+ecc`, `nno+nbu+jp+ep+ecs`, `nno+nbu+jp+ep+ef`, `nno+nbu+jp+etm`, `nno+nbu+jxc`, `nno+nbu+jxc+jca`, `nno+nbu+jxc+jcm`, `nno+nbu+jxc+jp+ef`, `nno+nbu+jxc+jp+etm`, `nno+nbu+jxc+jxc`, `nno+nbu+jxc+jxt`, `nno+nbu+jxt`, `nno+nbu+nbu`, `nno+nbu+ncn`, `nno+nbu+ncn+jp+ep+ef`, `nno+nbu+ncn+ncn`, `nno+nbu+xsn`, `nno+nbu+xsn+jca`, `nno+nbu+xsn+jcc`, `nno+nbu+xsn+jcm`, `nno+nbu+xsn+jxc`, `nno+nbu+xsn+jxt`, `nno+ncn`, `nno+ncn+jca`, `nno+ncn+jca+jxc`, `nno+ncn+jca+jxt`, `nno+ncn+jcm`, `nno+ncn+jco`, `nno+ncn+jcs`, `nno+ncn+jct`, `nno+ncn+jp+ef`, `nno+ncn+jp+etm`, `nno+ncn+jxc`, `nno+ncn+jxc+jxt`, `nno+ncn+ncn+jp+etm`, `nno+ncn+xsn`, `nno+ncn+xsn+jca`, `nno+ncn+xsn+jp+ep+ef`, `nno+ncn+xsn+jp+etm`, `nno+ncpa+jp+ep+etn+jca+jxc`, `nno+nnc`, `nno+xsn`, `nno+xsn+jca`, `nno+xsn+jca+jxc`, `nno+xsn+jxc`, `nno+xsn+jxc+jcs`, `nno+xsn+nbu`, `nno+xsn+nbu+jcm`, `npd`, `npd+jca`, `npd+jca+jcm`, `npd+jca+jp+ef`, `npd+jca+jp+ef+jca`, `npd+jca+jxc`, `npd+jca+jxc+jcm`, `npd+jca+jxt`, `npd+jcc`, `npd+jcj`, `npd+jcm`, `npd+jco`, `npd+jcs`, `npd+jct`, `npd+jct+jcm`, `npd+jct+jxt`, `npd+jp+ecc`, `npd+jp+ecs`, `npd+jp+ecs+jco`, `npd+jp+ecs+jxt`, `npd+jp+ef`, `npd+jp+ef+jca`, `npd+jp+ef+jcm`, `npd+jp+ef+jco`, `npd+jp+ef+jcr`, `npd+jp+ef+jcs`, `npd+jp+ef+jp+ef`, `npd+jp+ef+jp+etm`, `npd+jp+ef+jxc`, `npd+jp+ef+jxt`, `npd+jp+ep+ef`, `npd+jp+etm`, `npd+jxc`, `npd+jxc+jca`, `npd+jxc+jca+jxc`, `npd+jxc+jcc`, `npd+jxc+jcr`, `npd+jxc+jp+ef`, `npd+jxc+jxc`, `npd+jxc+jxt`, `npd+jxt`, `npd+nbn`, `npd+nbn+jca`, `npd+nbn+jcs`, `npd+nbn+jxc`, `npd+nbn+jxc+jxt`, `npd+ncn`, `npd+ncn+jca`, `npd+ncn+jca+jxc`, `npd+ncn+jcm`, `npd+ncn+jco`, `npd+ncn+jcs`, `npd+ncn+jxt`, `npd+npd`, `npd+xsn`, `npd+xsn+jca`, `npd+xsn+jca+jxc`, `npd+xsn+jca+jxt`, `npd+xsn+jcm`, `npd+xsn+jco`, `npd+xsn+jcs`, `npd+xsn+jct`, `npd+xsn+jp+ef`, `npd+xsn+jxc`, `npd+xsn+jxt`, `npp`, `npp+jca`, `npp+jca+jcm`, `npp+jca+jxc`, `npp+jca+jxc+jcm`, `npp+jca+jxt`, `npp+jcc`, `npp+jcj`, `npp+jcm`, `npp+jco`, `npp+jcs`, `npp+jcs+jxt`, `npp+jct`, `npp+jct+jcm`, `npp+jct+jxc`, `npp+jct+jxt`, `npp+jp+ecs`, `npp+jp+ecs+jco`, `npp+jp+ef`, `npp+jp+ef+jcs`, `npp+jp+ef+jxc+jcs`, `npp+jp+ef+jxt`, `npp+jp+ep+ecc`, `npp+jp+ep+ef`, `npp+jp+ep+etm`, `npp+jp+etm`, `npp+jxc`, `npp+jxc+jcc`, `npp+jxc+jcm`, `npp+jxc+jco`, `npp+jxt`, `npp+nbn+jca`, `npp+nbn+jcs`, `npp+ncn`, `npp+ncn+jca`, `npp+ncn+jca+jxc`, `npp+ncn+jca+jxt`, `npp+ncn+jcm`, `npp+ncn+jco`, `npp+ncn+jcs`, `npp+ncn+jct`, `npp+ncn+jct+jxt`, `npp+ncn+jp+ecs`, `npp+ncn+jxc`, `npp+ncn+jxt`, `npp+ncn+xsn`, `npp+ncpa`, `npp+ncpa+jca`, `npp+ncpa+jca+jxc`, `npp+ncpa+jcj`, `npp+ncpa+jcm`, `npp+ncpa+jco`, `npp+ncpa+jcs`, `npp+ncpa+jxt`, `npp+ncpa+ncpa+jca`, `npp+ncpa+xsn+jp+ecc`, `npp+ncpa+xsn+jp+etm`, `npp+npp+jco`, `npp+xsn`, `npp+xsn+jca`, `npp+xsn+jca+jxc`, `npp+xsn+jca+jxc+jxc`, `npp+xsn+jca+jxt`, `npp+xsn+jcj`, `npp+xsn+jcm`, `npp+xsn+jco`, `npp+xsn+jcs`, `npp+xsn+jcs+jxt`, `npp+xsn+jct`, `npp+xsn+jct+jcm`, `npp+xsn+jct+jxt`, `npp+xsn+jp+ecs`, `npp+xsn+jp+ef`, `npp+xsn+jp+etm`, `npp+xsn+jxc`, `npp+xsn+jxc+jcs`, `npp+xsn+jxc+jxt`, `npp+xsn+jxt`, `npp+xsn+ncn`, `npp+xsn+xsn`, `npp+xsn+xsn+jca`, `npp+xsn+xsn+jca+jxt`, `nq`, `nq+jca`, `nq+jca+jca`, `nq+jca+jca+jxc`, `nq+jca+jcm`, `nq+jca+jxc`, `nq+jca+jxc+jcm`, `nq+jca+jxc+jxc`, `nq+jca+jxt`, `nq+jcc`, `nq+jcj`, `nq+jcm`, `nq+jco`, `nq+jcr`, `nq+jcs`, `nq+jcs+jca+jxc`, `nq+jcs+jxt`, `nq+jct`, `nq+jct+jcm`, `nq+jct+jxt`, `nq+jp+ecc`, `nq+jp+ecs`, `nq+jp+ef`, `nq+jp+ef+jcr`, `nq+jp+ef+jcr+jxc`, `nq+jp+ep+ecc`, `nq+jp+ep+ecs`, `nq+jp+ep+ef`, `nq+jp+ep+etm`, `nq+jp+ep+etn`, `nq+jp+etm`, `nq+jp+etn+jco`, `nq+jxc`, `nq+jxc+jca+jxt`, `nq+jxc+jcm`, `nq+jxc+jcs`, `nq+jxc+jp+ef`, `nq+jxc+jp+ef+jcr`, `nq+jxc+jxc`, `nq+jxc+jxc+jxt`, `nq+jxc+jxt`, `nq+jxt`, `nq+nbn`, `nq+nbn+jca`, `nq+nbn+jcm`, `nq+nbn+jp+ep+ef`, `nq+ncn`, `nq+ncn+jca`, `nq+ncn+jca+jcm`, `nq+ncn+jca+jxc`, `nq+ncn+jca+jxt`, `nq+ncn+jcc`, `nq+ncn+jcj`, `nq+ncn+jcm`, `nq+ncn+jco`, `nq+ncn+jcs`, `nq+ncn+jct`, `nq+ncn+jct+jcm`, `nq+ncn+jct+jxc`, `nq+ncn+jct+jxt`, `nq+ncn+jp+ef`, `nq+ncn+jp+ep+ef`, `nq+ncn+jp+ep+etm`, `nq+ncn+jp+etm`, `nq+ncn+jxc`, `nq+ncn+jxc+jxt`, `nq+ncn+jxt`, `nq+ncn+ncn`, `nq+ncn+ncn+jca`, `nq+ncn+ncn+jca+jxt`, `nq+ncn+ncn+jcm`, `nq+ncn+ncn+jco`, `nq+ncn+ncn+jp+etm`, `nq+ncn+ncn+jxc`, `nq+ncn+ncn+ncn`, `nq+ncn+ncn+ncn+jca`, `nq+ncn+ncn+ncn+jcs`, `nq+ncn+ncn+xsn+jxt`, `nq+ncn+ncpa+jca`, `nq+ncn+ncpa+jcs`, `nq+ncn+ncpa+jxt`, `nq+ncn+ncpa+ncn`, `nq+ncn+ncpa+ncn+jcm`, `nq+ncn+xsn`, `nq+ncn+xsn+jca`, `nq+ncn+xsn+jca+jxt`, `nq+ncn+xsn+jcm`, `nq+ncn+xsn+jco`, `nq+ncn+xsn+jcs`, `nq+ncn+xsn+jct`, `nq+ncn+xsn+jp+etm`, `nq+ncn+xsn+jxt`, `nq+ncpa`, `nq+ncpa+jca`, `nq+ncpa+jcm`, `nq+ncpa+jco`, `nq+ncpa+jxt`, `nq+ncpa+ncn+jcm`, `nq+ncpa+ncn+jp+ef`, `nq+ncpa+ncn+jp+etm`, `nq+nq`, `nq+nq+jca`, `nq+nq+jcj`, `nq+nq+jcm`, `nq+nq+jcs`, `nq+nq+jct`, `nq+nq+jxc+jcs`, `nq+nq+jxt`, `nq+nq+ncn`, `nq+nq+ncn+jca`, `nq+nq+nq+jxt`, `nq+nq+nq+nq+jcm`, `nq+xsm+ecs`, `nq+xsm+etm`, `nq+xsn`, `nq+xsn+jca`, `nq+xsn+jca+jxc`, `nq+xsn+jca+jxt`, `nq+xsn+jcj`, `nq+xsn+jcm`, `nq+xsn+jco`, `nq+xsn+jcs`, `nq+xsn+jcs+jxt`, `nq+xsn+jct`, `nq+xsn+jct+jcm`, `nq+xsn+jp+ef`, `nq+xsn+jp+ef+jcr`, `nq+xsn+jp+ep+ef`, `nq+xsn+jp+etm`, `nq+xsn+jp+etn+jco`, `nq+xsn+jxc`, `nq+xsn+jxt`, `nq+xsn+xsn`, `nq+xsn+xsn+jcj`, `nq+xsn+xsn+jcs`, `nq+xsn+xsv+ep+etm`, `nq+xsv+ecs`, `paa+ecc`, `paa+ecc+jxc`, `paa+ecc+jxt`, `paa+ecs`, `paa+ecs+etm`, `paa+ecs+jca`, `paa+ecs+jcm`, `paa+ecs+jco`, `paa+ecs+jct`, `paa+ecs+jp+ecc`, `paa+ecs+jp+ep+ef`, `paa+ecs+jxc`, `paa+ecs+jxc+jxt`, `paa+ecs+jxt`, `paa+ecx`, `paa+ecx+jco`, `paa+ecx+jcs`, `paa+ecx+jxc`, `paa+ecx+jxt`, `paa+ecx+px+ecc`, `paa+ecx+px+ecs`, `paa+ecx+px+ecx`, `paa+ecx+px+ecx+jxc`, `paa+ecx+px+ecx+px+ecc`, `paa+ecx+px+ecx+px+ecx`, `paa+ecx+px+ecx+px+ef`, `paa+ecx+px+ecx+px+ep+ef`, `paa+ecx+px+ecx+px+etm`, `paa+ecx+px+ef`, `paa+ecx+px+ef+jcr`, `paa+ecx+px+ep+ecc`, `paa+ecx+px+ep+ecs`, `paa+ecx+px+ep+ef`, `paa+ecx+px+ep+ef+jcr`, `paa+ecx+px+ep+etm`, `paa+ecx+px+ep+etn`, `paa+ecx+px+ep+etn+jco`, `paa+ecx+px+etm`, `paa+ecx+px+etn`, `paa+ecx+px+etn+jca`, `paa+ecx+px+etn+jco`, `paa+ecx+px+etn+jcs`, `paa+ecx+px+etn+jxc`, `paa+ecx+px+etn+jxt`, `paa+ef`, `paa+ef+ecc`, `paa+ef+ecs`, `paa+ef+ecs+jxc`, `paa+ef+jca`, `paa+ef+jcm`, `paa+ef+jco`, `paa+ef+jcr`, `paa+ef+jcr+jxc`, `paa+ef+jcr+jxt`, `paa+ef+jxf`, `paa+ep+ecc`, `paa+ep+ecs`, `paa+ep+ecs+jxc`, `paa+ep+ef`, `paa+ep+ef+jcr`, `paa+ep+ef+jxc`, `paa+ep+ef+jxf`, `paa+ep+ef+jxt`, `paa+ep+ep+ecs`, `paa+ep+ep+ef`, `paa+ep+ep+etm`, `paa+ep+etm`, `paa+ep+etn`, `paa+ep+etn+jca`, `paa+ep+etn+jca+jxc`, `paa+ep+etn+jco`, `paa+ep+etn+jcs`, `paa+ep+etn+jxt`, `paa+etm`, `paa+etn`, `paa+etn+jca`, `paa+etn+jca+jxc`, `paa+etn+jca+jxt`, `paa+etn+jcc`, `paa+etn+jcj`, `paa+etn+jcm`, `paa+etn+jco`, `paa+etn+jcs`, `paa+etn+jct`, `paa+etn+jp+ecc`, `paa+etn+jp+ef`, `paa+etn+jp+ep+ecs`, `paa+etn+jp+ep+ef`, `paa+etn+jxc`, `paa+etn+jxt`, `paa+jxt`, `pad+ecc`, `pad+ecc+jxt`, `pad+ecs`, `pad+ecs+jxc`, `pad+ecs+jxt`, `pad+ecx`, `pad+ecx+jcs`, `pad+ecx+jxc`, `pad+ecx+jxt`, `pad+ecx+px+ecs`, `pad+ecx+px+ecx+px+ecc+jxt`, `pad+ef`, `pad+ef+jcr`, `pad+ef+jcr+jxt`, `pad+ef+jxf`, `pad+ef+jxt`, `pad+ep+ecc`, `pad+ep+ecs`, `pad+ep+ef`, `pad+ep+ef+jco`, `pad+ep+etm`, `pad+etm`, `pad+etn`, `pad+etn+jxt`, `pvd+ecc+jxc`, `pvd+ecs`, `pvd+ecs+jp+ecs`, `pvd+ecs+jxc`, `pvd+ecs+jxt`, `pvd+ecx`, `pvd+ep+ef`, `pvd+ep+etm`, `pvd+etm`, `pvd+etn`, `pvd+etn+jca`, `pvd+etn+jca+jxc`, `pvg+ecc`, `pvg+ecc+jxc`, `pvg+ecc+jxt`, `pvg+ecs`, `pvg+ecs+ecs`, `pvg+ecs+jca`, `pvg+ecs+jca+jxt`, `pvg+ecs+jcc`, `pvg+ecs+jcm`, `pvg+ecs+jco`, `pvg+ecs+jcs`, `pvg+ecs+jct`, `pvg+ecs+jp+ecs`, `pvg+ecs+jp+ef`, `pvg+ecs+jp+ep+ecs`, `pvg+ecs+jp+ep+ef`, `pvg+ecs+jp+ep+ef+jcr`, `pvg+ecs+jxc`, `pvg+ecs+jxc+jcc`, `pvg+ecs+jxc+jp+ef`, `pvg+ecs+jxc+jp+ep+ef`, `pvg+ecs+jxt`, `pvg+ecx`, `pvg+ecx+jco`, `pvg+ecx+jxc`, `pvg+ecx+jxt`, `pvg+ecx+jxt+px+ep+ef`, `pvg+ecx+px+ecc`, `pvg+ecx+px+ecc+jxc`, `pvg+ecx+px+ecc+jxt`, `pvg+ecx+px+ecs`, `pvg+ecx+px+ecs+jxc`, `pvg+ecx+px+ecs+jxt`, `pvg+ecx+px+ecx`, `pvg+ecx+px+ecx+jco`, `pvg+ecx+px+ecx+jxc`, `pvg+ecx+px+ecx+jxt`, `pvg+ecx+px+ecx+px+ecc`, `pvg+ecx+px+ecx+px+ecs`, `pvg+ecx+px+ecx+px+ecs+jxt`, `pvg+ecx+px+ecx+px+ecx`, `pvg+ecx+px+ecx+px+ecx+px+ecc`, `pvg+ecx+px+ecx+px+ef`, `pvg+ecx+px+ecx+px+ep+ecc`, `pvg+ecx+px+ecx+px+ep+ef`, `pvg+ecx+px+ecx+px+ep+etm`, `pvg+ecx+px+ecx+px+ep+etn+jco`, `pvg+ecx+px+ecx+px+etm`, `pvg+ecx+px+ecx+px+etn`, `pvg+ecx+px+ecx+px+etn+jca`, `pvg+ecx+px+ef`, `pvg+ecx+px+ef+jca`, `pvg+ecx+px+ef+jcm`, `pvg+ecx+px+ef+jcr`, `pvg+ecx+px+ep+ecc`, `pvg+ecx+px+ep+ecs`, `pvg+ecx+px+ep+ecs+jxc`, `pvg+ecx+px+ep+ef`, `pvg+ecx+px+ep+ef+jcm`, `pvg+ecx+px+ep+ef+jcr`, `pvg+ecx+px+ep+ef+jxf`, `pvg+ecx+px+ep+ep+ecs`, `pvg+ecx+px+ep+etm`, `pvg+ecx+px+ep+etn`, `pvg+ecx+px+ep+etn+jca`, `pvg+ecx+px+ep+etn+jca+jxc`, `pvg+ecx+px+ep+etn+jco`, `pvg+ecx+px+etm`, `pvg+ecx+px+etn`, `pvg+ecx+px+etn+jca`, `pvg+ecx+px+etn+jca+jxc`, `pvg+ecx+px+etn+jca+jxt`, `pvg+ecx+px+etn+jco`, `pvg+ecx+px+etn+jcs`, `pvg+ecx+px+etn+jct`, `pvg+ecx+px+etn+jxc`, `pvg+ecx+px+etn+jxc+jxt`, `pvg+ecx+px+etn+jxt`, `pvg+ef`, `pvg+ef+jca`, `pvg+ef+jcm`, `pvg+ef+jco`, `pvg+ef+jcr`, `pvg+ef+jcr+jxc`, `pvg+ef+jcr+jxt`, `pvg+ef+jcs`, `pvg+ef+jp+ef+jcr`, `pvg+ef+jp+etm`, `pvg+ef+jxc`, `pvg+ef+jxf`, `pvg+ef+jxt`, `pvg+ep+ecc`, `pvg+ep+ecc+jxt`, `pvg+ep+ecs`, `pvg+ep+ecs+jca+jxt`, `pvg+ep+ecs+jco`, `pvg+ep+ecs+jxc`, `pvg+ep+ecs+jxt`, `pvg+ep+ecx`, `pvg+ep+ecx+px+ef`, `pvg+ep+ef`, `pvg+ep+ef+jca`, `pvg+ep+ef+jcm`, `pvg+ep+ef+jco`, `pvg+ep+ef+jcr`, `pvg+ep+ef+jcr+jxc`, `pvg+ep+ef+jcr+jxt`, `pvg+ep+ef+jct`, `pvg+ep+ef+jxc`, `pvg+ep+ef+jxf`, `pvg+ep+ef+jxt`, `pvg+ep+ep+ef`, `pvg+ep+ep+ef+jco`, `pvg+ep+ep+ef+jxf`, `pvg+ep+etm`, `pvg+ep+etn`, `pvg+ep+etn+jca`, `pvg+ep+etn+jca+jxc`, `pvg+ep+etn+jca+jxt`, `pvg+ep+etn+jco`, `pvg+ep+etn+jcs`, `pvg+ep+etn+jxt`, `pvg+etm`, `pvg+etn`, `pvg+etn+jca`, `pvg+etn+jca+jxc`, `pvg+etn+jca+jxt`, `pvg+etn+jcc`, `pvg+etn+jcj`, `pvg+etn+jcm`, `pvg+etn+jco`, `pvg+etn+jcr`, `pvg+etn+jcs`, `pvg+etn+jct`, `pvg+etn+jct+jxt`, `pvg+etn+jp+ecc`, `pvg+etn+jp+ecs`, `pvg+etn+jp+ef`, `pvg+etn+jp+ef+jcr`, `pvg+etn+jp+ef+jcs`, `pvg+etn+jp+ep+ef`, `pvg+etn+jp+ep+ef+jcr`, `pvg+etn+jp+etm`, `pvg+etn+jxc`, `pvg+etn+jxc+jca+jxt`, `pvg+etn+jxc+jcm`, `pvg+etn+jxc+jco`, `pvg+etn+jxc+jcs`, `pvg+etn+jxc+jxt`, `pvg+etn+jxt`, `pvg+etn+xsm+ecs`, `pvg+etn+xsn+jcm`, `px+ecc`, `px+ecc+jxc`, `px+ecc+jxc+jp+ef`, `px+ecc+jxt`, `px+ecs`, `px+ecs+jca`, `px+ecs+jcc`, `px+ecs+jcj`, `px+ecs+jcm`, `px+ecs+jco`, `px+ecs+jp+ep+ef`, `px+ecs+jxc`, `px+ecs+jxt`, `px+ecx`, `px+ecx+jxc`, `px+ecx+jxt`, `px+ecx+px+ecs`, `px+ecx+px+ecx`, `px+ecx+px+ef`, `px+ecx+px+ef+jcr`, `px+ecx+px+ep+ef`, `px+ecx+px+etm`, `px+ecx+px+etn+jca`, `px+ef`, `px+ef+etm`, `px+ef+jca`, `px+ef+jca+jxc`, `px+ef+jcj`, `px+ef+jcm`, `px+ef+jco`, `px+ef+jcr`, `px+ef+jcr+jxc`, `px+ef+jcs`, `px+ef+jp+etm`, `px+ef+jxc`, `px+ef+jxf`, `px+ef+jxt`, `px+ep+ecc`, `px+ep+ecs`, `px+ep+ecs+jxc`, `px+ep+ecs+jxt`, `px+ep+ecx`, `px+ep+ef`, `px+ep+ef+jca`, `px+ep+ef+jco`, `px+ep+ef+jcr`, `px+ep+ef+jcr+jxc`, `px+ep+ef+jxf`, `px+ep+ep+ef`, `px+ep+ep+ef+jxf`, `px+ep+etm`, `px+ep+etn`, `px+ep+etn+jca`, `px+ep+etn+jca+jxc`, `px+ep+etn+jco`, `px+ep+etn+jcs`, `px+ep+etn+jxc`, `px+ep+etn+jxt`, `px+etm`, `px+etn`, `px+etn+jca`, `px+etn+jca+jxc`, `px+etn+jca+jxt`, `px+etn+jco`, `px+etn+jcs`, `px+etn+jct`, `px+etn+jxc`, `px+etn+jxc+jxt`, `px+etn+jxt`, `sf`, `sl`, `sp`, `sr`, `su`, `su+jca`, `su+jcm`, `xp+nbn`, `xp+nbu`, `xp+ncn`, `xp+ncn+jca`, `xp+ncn+jcm`, `xp+ncn+jco`, `xp+ncn+jcs`, `xp+ncn+jp+ef`, `xp+ncn+jp+ep+ef`, `xp+ncn+jxt`, `xp+ncn+ncn+jca`, `xp+ncn+ncn+jcm`, `xp+ncn+ncn+jco`, `xp+ncn+ncpa+jco`, `xp+ncn+xsn`, `xp+ncn+xsn+jca`, `xp+ncn+xsn+jcm`, `xp+ncn+xsn+jp+ef`, `xp+ncn+xsn+jp+etm`, `xp+ncpa`, `xp+ncpa+jca`, `xp+ncpa+jcm`, `xp+ncpa+jco`, `xp+ncpa+ncn+jcm`, `xp+ncpa+ncn+jco`, `xp+ncpa+ncpa+jco`, `xp+ncpa+xsn`, `xp+ncpa+xsn+jp+etm`, `xp+ncpa+xsv+ecc`, `xp+ncpa+xsv+ecs`, `xp+ncpa+xsv+ecx`, `xp+ncpa+xsv+ef`, `xp+ncpa+xsv+ef+jcr`, `xp+ncpa+xsv+ep+ef`, `xp+ncpa+xsv+etm`, `xp+ncpa+xsv+etn+jca`, `xp+ncps`, `xp+ncps+xsm+ecs`, `xp+ncps+xsm+ecx`, `xp+ncps+xsm+ef`, `xp+ncps+xsm+ep+ef`, `xp+ncps+xsm+etm`, `xp+ncps+xsn`, `xp+nnc`, `xp+nnc+jcm`, `xp+nnc+nbn`, `xp+nnc+nbu`, `xp+nnc+nbu+jcs`, `xp+nnc+ncn`, `xp+nnc+ncn+jca`, `xp+nnc+ncn+jcm`, `xp+nnc+ncn+jcs`, `xp+nnc+ncn+jp+ef+jcr`, `xp+nno`, `xp+nno+jcm`, `xp+nno+nbn+jca`, `xp+nno+nbu`, `xp+nno+nbu+jcs`, `xp+nno+ncn`, `xp+nno+ncn+jca`, `xp+nno+ncn+jcs`, `xp+nno+ncn+jxt`, `xp+nq`, `xp+nq+ncn+jca`, `xp+nq+ncpa`, `xp+nq+ncpa+jco`, `xp+nq+ncpa+jp+etm`, `xsm+etm`, `xsn`, `xsn+jca`, `xsn+jca+jxt`, `xsn+jco`, `xsn+jcs`, `xsn+jp+ef`, `xsn+jp+ep+ef`, `xsn+jxc+jca+jxt`, `xsn+jxc+jcs`, `xsn+jxt`, `xsv+ecc`, `xsv+ecs`, `xsv+ecx+px+ep+ef`, `xsv+ep+ecx`, `xsv+etm` |
| **`morphologizer`** | `POS=CCONJ`, `POS=ADV`, `POS=SCONJ`, `POS=DET`, `POS=NOUN`, `POS=VERB`, `POS=ADJ`, `POS=PUNCT`, `POS=AUX`, `POS=PRON`, `POS=PROPN`, `POS=NUM`, `POS=INTJ`, `POS=PART`, `POS=X`, `POS=ADP`, `POS=SYM` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `dislocated`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0`, `3`, `5`, `7`, `9`, `11`, `12`, `16`, `18`, `20`, `22`, `25`, `28`, `31`, `34`, `35`, `36`, `39`, `40`, `43`, `45`, `47`, `48`, `51`, `54`, `56`, `58`, `60`, `61`, `63`, `65`, `67`, `69`, `71`, `73`, `75`, `76`, `78`, `79`, `82`, `85`, `87`, `89`, `92`, `95`, `97`, `99`, `101`, `104`, `106`, `109`, `112`, `114`, `116`, `119`, `121`, `122`, `124`, `126`, `127`, `128`, `130`, `133`, `135`, `137`, `140`, `142`, `145`, `147`, `148`, `150`, `151`, `152`, `155`, `156`, `158`, `161`, `162`, `164`, `167`, `169`, `172`, `174`, `176`, `177`, `179`, `182`, `184`, `186`, `188`, `191`, `192`, `194`, `196`, `199`, `202`, `203`, `173`, `115`, `205`, `207`, `210`, `213`, `216`, `218`, `221`, `146`, `223`, `225`, `227`, `229`, `230`, `231`, `232`, `234`, `236`, `238`, `239`, `242`, `244`, `246`, `248`, `251`, `253`, `255`, `256`, `259`, `261`, `264`, `265`, `268`, `270`, `272`, `274`, `276`, `278`, `279`, `282`, `285`, `287`, `289`, `293`, `295`, `297`, `300`, `302`, `304`, `307`, `309`, `310`, `313`, `315`, `226`, `318`, `319`, `321`, `323`, `325`, `327`, `329`, `332`, `334`, `335`, `337`, `149`, `339`, `340`, `342`, `344`, `346`, `348`, `349`, `350`, `352`, `354`, `356`, `358`, `360`, `361`, `363`, `365`, `369`, `370`, `372`, `374`, `376`, `21`, `15`, `377`, `379`, `382`, `385`, `387`, `388`, `254`, `390`, `393`, `395`, `397`, `399`, `401`, `403`, `404`, `405`, `407`, `408`, `411`, `414`, `417`, `418`, `421`, `422`, `424`, `427`, `429`, `431`, `435`, `437`, `439`, `440`, `442`, `443`, `444`, `447`, `449`, `451`, `389`, `454`, `455`, `457`, `460`, `461`, `463`, `466`, `468`, `471`, `473`, `476`, `477`, `479`, `482`, `296`, `485`, `487`, `490`, `492`, `493`, `495`, `497`, `500`, `502`, `504`, `505`, `507`, `510`, `511`, `514`, `267`, `516`, `520`, `472`, `523`, `525`, `526`, `527`, `530`, `532`, `462`, `533`, `534`, `535`, `537`, `540`, `541`, `465`, `543`, `545`, `546`, `547`, `550`, `551`, `552`, `553`, `555`, `556`, `72`, `558`, `560`, `562`, `563`, `564`, `567`, `568`, `571`, `574`, `577`, `579`, `581`, `582`, `584`, `587`, `589`, `591`, `594`, `595`, `597`, `600`, `603`, `606`, `608`, `610`, `611`, `613`, `614`, `616`, `617`, `620`, `10`, `623`, `626`, `629`, `632`, `633`, `635`, `637`, `638`, `640`, `642`, `644`, `645`, `647`, `648`, `651`, `652`, `653`, `655`, `657`, `659`, `660`, `664`, `666`, `667`, `669`, `672`, `674`, `675`, `676`, `678`, `679`, `680`, `683`, `684`, `687`, `689`, `690`, `692`, `694`, `697`, `699`, `702`, `703`, `706`, `707`, `710`, `713`, `715`, `717`, `719`, `721`, `723`, `725`, `728`, `730`, `733`, `735`, `738`, `740`, `743`, `744`, `649`, `747`, `749`, `753`, `756`, `757`, `759`, `761`, `764`, `767`, `769`, `772`, `774`, `777`, `780`, `783`, `785`, `787`, `789`, `792`, `794`, `797`, `799`, `800`, `802`, `805`, `806`, `808`, `809`, `811`, `812`, `813`, `815`, `817`, `819`, `820`, `59`, `822`, `824`, `827`, `829`, `831`, `618`, `832`, `834`, `836`, `838`, `724`, `841`, `55`, `842`, `844`, `846`, `847`, `850`, `852`, `855`, `857`, `859`, `861`, `863`, `865`, `868`, `869`, `871`, `873`, `874`, `877`, `880`, `884`, `887`, `890`, `891`, `892`, `893`, `896`, `898`, `901`, `351`, `904`, `906`, `908`, `911`, `913`, `915`, `650`, `918`, `920`, `830`, `921`, `923`, `924`, `926`, `927`, `930`, `931`, `934`, `937`, `938`, `940`, `941`, `942`, `945`, `947`, `949`, `952`, `954`, `957`, `960`, `963`, `965`, `967`, `970`, `972`, `974`, `977`, `980`, `981`, `983`, `985`, `986`, `988`, `991`, `994`, `997`, `999`, `1000`, `1002`, `1005`, `1006`, `1007`, `1010`, `125`, `1013`, `1016`, `1017`, `1019`, `1020`, `1024`, `1026`, `1028`, `1030`, `1032`, `1034`, `1036`, `1038`, `1040`, `1041`, `1044`, `1045`, `1048`, `415`, `1051`, `1053`, `1055`, `1056`, `1058`, `1061`, `1063`, `1065`, `1067`, `1068`, `1069`, `1070`, `1074`, `946`, `1077`, `1079`, `1081`, `1083`, `1086`, `1088`, `1089`, `1092`, `936`, `1096`, `1098`, `1101`, `1104`, `1106`, `1108`, `1110`, `1112`, `1114`, `1116`, `1118`, `1119`, `1120`, `1085`, `1123`, `1125`, `1127`, `1031`, `1128`, `1131`, `1124`, `1134`, `1135`, `1137`, `1139`, `1142`, `1144`, `1145`, `1147`, `1150`, `1152`, `1156`, `1158`, `1159`, `1162`, `1164`, `1166`, `1167`, `1170`, `1172`, `1174`, `1176`, `1178`, `1180`, `1181`, `1183`, `1186`, `1187`, `1189`, `1192`, `1195`, `1198`, `1200`, `1201`, `1204`, `1206`, `1208`, `1209`, `763`, `1211`, `1212`, `1214`, `1215`, `1218`, `1220`, `1222`, `1225`, `1226`, `1227`, `1228`, `1230`, `1232`, `1234`, `1236`, `1237`, `1239`, `1241`, `181`, `1244`, `1245`, `1247`, `1249`, `1251`, `1253`, `1256`, `1257`, `1260`, `1261`, `1262`, `1264`, `1267`, `1268`, `1269`, `1272`, `1274`, `1277`, `1280`, `1283`, `1285`, `1287`, `1289`, `1290`, `1294`, `1296`, `1279`, `1298`, `1300`, `1303`, `1304`, `1306`, `1309`, `1311`, `1313`, `1314`, `1317`, `1319`, `1320`, `1324`, `1327`, `1329`, `1332`, `1334`, `1336`, `1338`, `1340`, `1342`, `1344`, `1345`, `303`, `1346`, `1349`, `1350`, `1352`, `1354`, `1356`, `1359`, `362`, `1360`, `1363`, `1365`, `1366`, `1367`, `1369`, `1370`, `1372`, `1374`, `1375`, `1378`, `1380`, `1384`, `1385`, `1389`, `1390`, `1393`, `1395`, `1398`, `1403`, `1404`, `1405`, `1407`, `1410`, `1413`, `1415`, `1418`, `1420`, `1422`, `1423`, `1425`, `1426`, `1428`, `1429`, `1431`, `1433`, `1435`, `1436`, `1438`, `1440`, `1442`, `1444`, `1447`, `1448`, `1449`, `1451`, `1452`, `105`, `1454`, `1456`, `1457`, `1459`, `1462`, `1463`, `1464`, `1466`, `1468`, `1470`, `1471`, `1475`, `810`, `1476`, `1478`, `1480`, `1483`, `1485`, `1487`, `1490`, `1493`, `450`, `1496`, `1498`, `1501`, `1504`, `1506`, `1508`, `1510`, `1513`, `1515`, `1517`, `1520`, `1523`, `1526`, `1529`, `1531`, `1535`, `1536`, `1538`, `1540`, `1542`, `1545`, `1548`, `1550`, `1554`, `1555`, `1558`, `1559`, `1561`, `1563`, `1565`, `1566`, `1568`, `1569`, `1572`, `1574`, `1576`, `1578`, `1580`, `1581`, `1582`, `1585`, `1586`, `1589`, `1591`, `1593`, `1596`, `1597`, `416`, `615`, `1599`, `1601`, `1603`, `1608`, `1611`, `840`, `1613`, `1614`, `1616`, `1618`, `1622`, `1624`, `1627`, `1630`, `1633`, `1636`, `1638`, `1642`, `1645`, `1647`, `1650`, `1653`, `1656`, `1659`, `1661`, `1664`, `1665`, `1668`, `1670`, `1671`, `1674`, `1676`, `1679`, `1680`, `1683`, `1685`, `1687`, `1689`, `1694`, `1697`, `1698`, `1699`, `1700`, `1702`, `1705`, `1706`, `1709`, `1711`, `1712`, `1714`, `1718`, `1720`, `1721`, `1723`, `1725`, `1726`, `1728`, `987`, `506`, `1730`, `1733`, `1735`, `1736`, `1738`, `1740`, `1741`, `1743`, `1745`, `1747`, `1748`, `166`, `1750`, `1752`, `1753`, `1755`, `1758`, `1761`, `1763`, `224`, `1764`, `1767`, `1768`, `1771`, `1773`, `1777`, `1779`, `1783`, `1786`, `1787`, `1791`, `1794`, `1797`, `1798`, `1799`, `1801`, `1804`, `1806`, `1807`, `1809`, `228`, `1810`, `1813`, `1814`, `1817`, `1819`, `1821`, `1824`, `1826`, `1829`, `1831`, `1833`, `1834`, `1835`, `1837`, `1839`, `1637`, `1840`, `1844`, `1846`, `905`, `1850`, `1851`, `1853`, `1855`, `1858`, `1859`, `1861`, `1862`, `1863`, `1866`, `1867`, `1869`, `1873`, `1875`, `1878`, `1879`, `1883`, `1884`, `1887`, `1890`, `1892`, `1895`, `1896`, `1899`, `1901`, `1903`, `1905`, `1907`, `1908`, `1909`, `1910`, `1912`, `1914`, `1917`, `1920`, `1922`, `1924`, `1926`, `1928`, `1929`, `1932`, `1933`, `1935`, `1936`, `1937`, `1940`, `1942`, `1944`, `1946`, `1947`, `1949`, `1952`, `1953`, `1956`, `1959`, `1960`, `1962`, `1964`, `1965`, `1966`, `1967`, `1970`, `1971`, `1972`, `1974`, `1975`, `1976`, `1977`, `1978`, `1979`, `1981`, `1982`, `1983`, `1985`, `1987`, `1991`, `673`, `1992`, `1994`, `1995`, `1997`, `1999`, `2002`, `2003`, `2005`, `2008`, `2010`, `2012`, `2013`, `2015`, `2017`, `2019`, `2020`, `2023`, `2026`, `2027`, `2030`, `2032`, `2034`, `2036`, `2038`, `2040`, `2041`, `2042`, `2045`, `2046`, `2048`, `2049`, `2051`, `2052`, `2053`, `1295`, `2054`, `536`, `2057`, `2059`, `2062`, `2064`, `2066`, `2067`, `2068`, `2072`, `2075`, `2076`, `2078`, `2081`, `2083`, `2085`, `2086`, `2088`, `2090`, `2091`, `2093`, `2096`, `2098`, `2099`, `2102`, `2104`, `2105`, `2107`, `2110`, `2111`, `17`, `2113`, `2116`, `2118`, `2121`, `2123`, `2124`, `2125`, `2127`, `2128`, `2129`, `2131`, `2133`, `2135`, `2137`, `2140`, `2141`, `2143`, `2145`, `2146`, `2147`, `2149`, `2151`, `2154`, `2155`, `2156`, `2159`, `2160`, `2161`, `2162`, `2163`, `2165`, `2168`, `1477`, `2170`, `2171`, `2173`, `2174`, `2175`, `2177`, `2180`, `2181`, `2183`, `2185`, `2187`, `2188`, `2190`, `2193`, `2195`, `2199`, `2202`, `2204`, `2205`, `2207`, `2210`, `2212`, `2213`, `2216`, `338`, `2218`, `2220`, `2222`, `2224`, `2226`, `2229`, `2231`, `2233`, `2236`, `2238`, `2240`, `2243`, `2245`, `2247`, `2248`, `593`, `2250`, `2251`, `2256`, `2258`, `2261`, `2263`, `2264`, `2266`, `2268`, `2271`, `2274`, `2277`, `2278`, `2281`, `2282`, `2284`, `2287`, `2289`, `2292`, `345`, `2294`, `2297`, `2299`, `2301`, `2304`, `2306`, `2308`, `2310`, `2312`, `2315`, `2317`, `2318`, `2321`, `2322`, `2323`, `1663`, `2324`, `2328`, `2331`, `2332`, `2335`, `2337`, `2339`, `2341`, `2344`, `2346`, `2348`, `2350`, `2354`, `2355`, `2359`, `2361`, `2363`, `2366`, `2368`, `2369`, `2372`, `2375`, `2376`, `2380`, `2384`, `2167`, `2385`, `2386`, `2388`, `2391`, `2393`, `2395`, `2397`, `2398`, `2400`, `2403`, `2404`, `2406`, `2410`, `2412`, `2414`, `2416`, `2418`, `1111`, `2420`, `2421`, `2422`, `2425`, `2428`, `2431`, `2433`, `2435`, `2437`, `2438`, `2439`, `2442`, `2445`, `2447`, `2448`, `2450`, `2453`, `2456`, `2459`, `2461`, `2462`, `2463`, `2466`, `2467`, `2470`, `2471`, `2473`, `2476`, `2478`, `2479`, `2482`, `2485`, `2486`, `2488`, `2489`, `2491`, `2494`, `2496`, `2498`, `2501`, `2503`, `2506`, `2507`, `2508`, `2510`, `2512`, `2513`, `2515`, `2517`, `2518`, `2520`, `2522`, `2526`, `2529`, `2531`, `1219`, `2534`, `2536`, `2538`, `2540`, `2542`, `2544`, `2546`, `2547`, `2549`, `2550`, `2552`, `2553`, `2556`, `2559`, `2561`, `2563`, `2565`, `2567`, `2569`, `2571`, `2573`, `2575`, `2577`, `2578`, `2579`, `2580`, `2583`, `2585`, `2587`, `2590`, `2594`, `2596`, `2598`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 100.00 |
| `SENTS_P` | 100.00 |
| `SENTS_R` | 100.00 |
| `TAG_ACC` | 88.93 |
| `POS_ACC` | 96.52 |
| `MORPH_ACC` | 100.00 |
| `MORPH_PER_FEAT` | 0.00 |
| `DEP_UAS` | 89.48 |
| `DEP_LAS` | 87.18 |
| `LEMMA_ACC` | 94.51 |
|
{"language": ["ko"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/ko_udv25_koreankaist_trf
| null |
[
"spacy",
"token-classification",
"ko",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Lithuanian-ALKSNIS
| Feature | Description |
| --- | --- |
| **Name** | `lt_udv25_lithuanianalksnis_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (3674 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `.`, `akr.`, `bdv.aukšt.mot.dgs.K.`, `bdv.aukšt.mot.dgs.V.`, `bdv.aukšt.mot.dgs.Vt.`, `bdv.aukšt.mot.dgs.Įn.`, `bdv.aukšt.mot.vns.G.`, `bdv.aukšt.mot.vns.K.`, `bdv.aukšt.mot.vns.V.`, `bdv.aukšt.vyr.dgs.G.`, `bdv.aukšt.vyr.dgs.K.`, `bdv.aukšt.vyr.dgs.N.`, `bdv.aukšt.vyr.dgs.V.`, `bdv.aukšt.vyr.dgs.Vt.`, `bdv.aukšt.vyr.dgs.Įn.`, `bdv.aukšt.vyr.vns.G.`, `bdv.aukšt.vyr.vns.K.`, `bdv.aukšt.vyr.vns.N.`, `bdv.aukšt.vyr.vns.V.`, `bdv.aukšt.vyr.vns.Vt.`, `bdv.aukšt.vyr.vns.Įn.`, `bdv.aukšč.bev.`, `bdv.aukšč.mot.dgs.G.`, `bdv.aukšč.mot.dgs.K.`, `bdv.aukšč.mot.dgs.V.`, `bdv.aukšč.mot.dgs.Įn.`, `bdv.aukšč.mot.vns.K.`, `bdv.aukšč.mot.vns.V.`, `bdv.aukšč.mot.vns.Vt.`, `bdv.aukšč.mot.vns.Įn.`, `bdv.aukšč.vyr.dgs.G.`, `bdv.aukšč.vyr.dgs.K.`, `bdv.aukšč.vyr.dgs.V.`, `bdv.aukšč.vyr.dgs.Vt.`, `bdv.aukšč.vyr.dgs.Įn.`, `bdv.aukšč.vyr.vns.G.`, `bdv.aukšč.vyr.vns.K.`, `bdv.aukšč.vyr.vns.V.`, `bdv.aukšč.vyr.vns.Įn.`, `bdv.aukšč.įvardž.mot.vns.K.`, `bdv.nelygin.`, `bdv.nelygin..vyr.vns.K.`, `bdv.nelygin.bev.`, `bdv.nelygin.mot.dgs.G.`, `bdv.nelygin.mot.dgs.K.`, `bdv.nelygin.mot.dgs.N.`, `bdv.nelygin.mot.dgs.V`, `bdv.nelygin.mot.dgs.V.`, `bdv.nelygin.mot.dgs.Vt.`, `bdv.nelygin.mot.dgs.Įn.`, `bdv.nelygin.mot.vns.G.`, `bdv.nelygin.mot.vns.K.`, `bdv.nelygin.mot.vns.N.`, `bdv.nelygin.mot.vns.V.`, `bdv.nelygin.mot.vns.Vt.`, `bdv.nelygin.mot.vns.Įn.`, `bdv.nelygin.vyr.dgs.G.`, `bdv.nelygin.vyr.dgs.K.`, `bdv.nelygin.vyr.dgs.N.`, `bdv.nelygin.vyr.dgs.V.`, `bdv.nelygin.vyr.dgs.Vt.`, `bdv.nelygin.vyr.dgs.Įn.`, `bdv.nelygin.vyr.vns.G.`, `bdv.nelygin.vyr.vns.K.`, `bdv.nelygin.vyr.vns.N.`, `bdv.nelygin.vyr.vns.V.`, `bdv.nelygin.vyr.vns.Vt.`, `bdv.nelygin.vyr.vns.Įn.`, `bdv.nelygin.įvardž.mot.dgs.G.`, `bdv.nelygin.įvardž.mot.dgs.K.`, `bdv.nelygin.įvardž.mot.dgs.N.`, `bdv.nelygin.įvardž.mot.dgs.V.`, `bdv.nelygin.įvardž.mot.dgs.Įn.`, `bdv.nelygin.įvardž.mot.vns.G.`, `bdv.nelygin.įvardž.mot.vns.K.`, `bdv.nelygin.įvardž.mot.vns.N.`, `bdv.nelygin.įvardž.mot.vns.V.`, `bdv.nelygin.įvardž.mot.vns.Vt.`, `bdv.nelygin.įvardž.mot.vns.Įn.`, `bdv.nelygin.įvardž.vyr.dgs.G.`, `bdv.nelygin.įvardž.vyr.dgs.K.`, `bdv.nelygin.įvardž.vyr.dgs.V.`, `bdv.nelygin.įvardž.vyr.dgs.Vt.`, `bdv.nelygin.įvardž.vyr.dgs.Įn.`, `bdv.nelygin.įvardž.vyr.vns.G.`, `bdv.nelygin.įvardž.vyr.vns.K.`, `bdv.nelygin.įvardž.vyr.vns.N.`, `bdv.nelygin.įvardž.vyr.vns.V.`, `bdv.nelygin.įvardž.vyr.vns.Vt.`, `bdv.nelygin.įvardž.vyr.vns.Įn.`, `būdv.nelygin.įvardž.vyr.dgs.K.`, `dkt.`, `dkt.bendr.dgs.V.`, `dkt.bendr.vns.K.`, `dkt.bendr.vns.N.`, `dkt.bendr.vns.V.`, `dkt.mot.`, `dkt.mot.dgs.G.`, `dkt.mot.dgs.K.`, `dkt.mot.dgs.N.`, `dkt.mot.dgs.V.`, `dkt.mot.dgs.Vt.`, `dkt.mot.dgs.Įn.`, `dkt.mot.vns.G.`, `dkt.mot.vns.Il.`, `dkt.mot.vns.K`, `dkt.mot.vns.K.`, `dkt.mot.vns.N.`, `dkt.mot.vns.V.`, `dkt.mot.vns.Vt.`, `dkt.mot.vns.Įn.`, `dkt.mot.vns.Įv.`, `dkt.mot.vns.Š.`, `dkt.sngr.vyr.dgs.G.`, `dkt.sngr.vyr.dgs.K.`, `dkt.sngr.vyr.dgs.V.`, `dkt.sngr.vyr.dgs.Įn.`, `dkt.sngr.vyr.vns.G.`, `dkt.sngr.vyr.vns.K.`, `dkt.sngr.vyr.vns.N.`, `dkt.sngr.vyr.vns.V.`, `dkt.sngr.vyr.vns.Įn.`, `dkt.tikr.`, `dkt.tikr.mot.`, `dkt.tikr.mot.dgs.K.`, `dkt.tikr.mot.vns.G.`, `dkt.tikr.mot.vns.K.`, `dkt.tikr.mot.vns.N.`, `dkt.tikr.mot.vns.V.`, `dkt.tikr.mot.vns.Vt.`, `dkt.tikr.mot.vns.Įn.`, `dkt.tikr.vyr.dgs.K.`, `dkt.tikr.vyr.vns.G.`, `dkt.tikr.vyr.vns.K.`, `dkt.tikr.vyr.vns.N.`, `dkt.tikr.vyr.vns.V.`, `dkt.tikr.vyr.vns.Vt.`, `dkt.tikr.vyr.vns.Įn.`, `dkt.vyr.`, `dkt.vyr.dgs.G.`, `dkt.vyr.dgs.K.`, `dkt.vyr.dgs.N.`, `dkt.vyr.dgs.V.`, `dkt.vyr.dgs.Vt.`, `dkt.vyr.dgs.v.`, `dkt.vyr.dgs.Įn.`, `dkt.vyr.vns,K.`, `dkt.vyr.vns.G.`, `dkt.vyr.vns.Il.`, `dkt.vyr.vns.K.`, `dkt.vyr.vns.N.`, `dkt.vyr.vns.V.`, `dkt.vyr.vns.Vt.`, `dkt.vyr.vns.vt.`, `dkt.vyr.vns.Įn.`, `dkt.vyr.vns.Š.`, `dktv.mot.vns.K.`, `dll`, `dll.`, `dlv.neveik.es.mot.vns.V.`, `jng.`, `jst.`, `kita`, `kita.`, `prl.G.`, `prl.K.`, `prl.Įn.`, `prv.aukšt.`, `prv.aukšč.`, `prv.nelygin.`, `prv.neygin.`, `prv.sampl.nelygin.`, `samp.įv.mot.dgs.N.`, `sampl.dll.`, 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`vksm.dlv.veik.es.mot.vns.Vt.`, `vksm.dlv.veik.es.mot.vns.Įn.`, `vksm.dlv.veik.es.vyr.dgs.G.`, `vksm.dlv.veik.es.vyr.dgs.K.`, `vksm.dlv.veik.es.vyr.dgs.N.`, `vksm.dlv.veik.es.vyr.dgs.V.`, `vksm.dlv.veik.es.vyr.dgs.Vt.`, `vksm.dlv.veik.es.vyr.dgs.Įn.`, `vksm.dlv.veik.es.vyr.vns.G.`, `vksm.dlv.veik.es.vyr.vns.K.`, `vksm.dlv.veik.es.vyr.vns.N.`, `vksm.dlv.veik.es.vyr.vns.V.`, `vksm.dlv.veik.es.vyr.vns.Vt.`, `vksm.dlv.veik.es.vyr.vns.Įn.`, `vksm.dlv.veik.es.įvardž.mot.vns.K.`, `vksm.dlv.veik.es.įvardž.mot.vns.V.`, `vksm.dlv.veik.es.įvardž.vyr.dgs.K.`, `vksm.dlv.veik.es.įvardž.vyr.vns.K.`, `vksm.dlv.veik.es.įvardž.vyr.vns.N.`, `vksm.neig.dlv.neveik.es.mot.vns.V.`, `vksm.neveik.būt.vyr.dgs.V.`, `vksm.pad.būt-k.`, `vksm.pad.es.`, `vksm.pad.es.sngr.`, `vksm.pad.neig.būt-k.`, `vksm.pad.neig.es.`, `vksm.pad.neig.sngr.būt-k.`, `vksm.pad.neig.sngr.es.`, `vksm.pad.sngr.būt-k.`, `vksm.pad.sngr.es.`, `vksm.padlv.sngr.es.`, `vksm.pusd.mot.dgs.`, `vksm.pusd.mot.vns.`, `vksm.pusd.neig.mot.vns.`, `vksm.pusd.neig.vyr.dgs.`, `vksm.pusd.neig.vyr.vns.`, `vksm.pusd.sngr.mot.dgs.`, `vksm.pusd.sngr.mot.vns.`, `vksm.pusd.sngr.vyr.dgs.`, `vksm.pusd.sngr.vyr.vns.`, `vksm.pusd.vyr.dgs.`, `vksm.pusd.vyr.vns.`, `vksm.sngr.pad.es.`, `įv.G.`, `įv.K.`, `įv.N.`, `įv.V.`, `įv.bev.`, `įv.dgs.G.`, `įv.dgs.K.`, `įv.dgs.N.`, `įv.dgs.V.`, `įv.dgs.Vt.`, `įv.dgs.Įn.`, `įv.dvisk.V.`, `įv.mot.G.`, `įv.mot.K.`, `įv.mot.V.`, `įv.mot.dgs.G.`, `įv.mot.dgs.K.`, `įv.mot.dgs.N.`, `įv.mot.dgs.V.`, `įv.mot.dgs.Vt.`, `įv.mot.dgs.Įn.`, `įv.mot.dvisk.N.`, `įv.mot.dvisk.V.`, `įv.mot.vns.G.`, `įv.mot.vns.K.`, `įv.mot.vns.N.`, `įv.mot.vns.V.`, `įv.mot.vns.Vt.`, `įv.mot.vns.Įn.`, `įv.vns.G.`, `įv.vns.K.`, `įv.vns.N.`, `įv.vns.V.`, `įv.vns.Vt.`, `įv.vns.Įn.`, `įv.vyr.G.`, `įv.vyr.K.`, `įv.vyr.N.`, `įv.vyr.V.`, `įv.vyr.dgs.G.`, `įv.vyr.dgs.K.`, `įv.vyr.dgs.N.`, `įv.vyr.dgs.V.`, `įv.vyr.dgs.Vt.`, `įv.vyr.dgs.Įn.`, `įv.vyr.dvisk.G.`, `įv.vyr.dvisk.K.`, `įv.vyr.dvisk.V.`, `įv.vyr.vns.G.`, `įv.vyr.vns.K.`, `įv.vyr.vns.N.`, `įv.vyr.vns.V.`, `įv.vyr.vns.Vt.`, `įv.vyr.vns.Įn.`, `įv.vyr.Įn,`, `įv.Įn.`, `įv.įvardž.bev.`, `įv.įvardž.mot.vns.K.`, `įv.įvardž.mot.vns.V.` |
| **`morphologizer`** | `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Ger`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `POS=PUNCT`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=X`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Pos\|Hyph=Yes\|POS=ADV`, `Hyph=Yes\|POS=X`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=SCONJ`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|POS=PRON\|PronType=Ind`, `POS=PART`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|POS=DET\|PronType=Dem`, `Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Ger`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Inf`, `Degree=Cmp\|POS=ADV`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|NumForm=Digit\|POS=NUM`, `Case=Gen\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Hyph=Yes\|POS=PART`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Fem\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|NumForm=Roman\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Degree=Sup\|POS=ADV`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Mood=Nec\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Masc\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `AdpType=Prep\|Case=Ins\|POS=ADP`, `Case=Gen\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=INTJ`, `Definite=Ind\|Gender=Neut\|NumForm=Word\|NumType=Ord\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Neg`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Gender=Neut\|Hyph=Yes\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|POS=PRON\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Hyph=Yes\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Ger`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Hab\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Hyph=Yes\|POS=SCONJ`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Acc\|Definite=Def\|Gender=Masc\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Definite=Def\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|POS=PRON\|PronType=Int`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Masc\|POS=NOUN`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Ger`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Ger`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Mood=Cnd\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `POS=AUX\|Polarity=Pos\|Tense=Pres\|VerbForm=Ger`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Hyph=Yes\|POS=ADV`, `Case=Gen\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|Hyph=Yes\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Int`, `Case=Nom\|Definite=Def\|Gender=Fem\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|NumForm=Word\|NumType=Card\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Foreign=Yes\|POS=X`, `Case=Acc\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `POS=PROPN`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Ger`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Ger`, `Case=Nom\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Gender=Fem\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Definite=Ind\|Hyph=Yes\|POS=NUM`, `POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Ger`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=AUX\|Polarity=Pos\|VerbForm=Inf`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Hyph=Yes\|POS=CCONJ`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Acc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Ger`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Int`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Dual\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Gender=Neut\|Mood=Nec\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Definite=Def\|Gender=Neut\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Dual\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Foreign=Yes\|Hyph=Yes\|POS=X`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Ins\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Degree=Sup\|Gender=Neut\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=ADV`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `POS=SYM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Gender=Neut\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Definite=Ind\|NumForm=Combi\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Acc\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|POS=PRON\|PronType=Neg`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Int`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Loc\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Gen\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=NOUN`, `Case=Loc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|POS=NUM`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Hyph=Yes\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `POS=VERB\|Polarity=Neg\|VerbForm=Inf`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Ger`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Ind`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Aspect=Perf\|Case=Ins\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres`, `Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Loc\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `POS=VERB\|Polarity=Neg\|Reflex=Yes\|VerbForm=Inf`, `Case=Dat\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Fut\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Ins\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Gender=Fem\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ill\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Abbr=Yes\|Hyph=Yes\|POS=X`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `POS=PUNCT\|PunctType=Peri`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Gender=Masc\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Gender=Fem\|POS=PROPN`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Dat\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|Mood=Nec\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Dat\|Definite=Ind\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Gender=Neut\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=X`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Neg`, `Aspect=Hab\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Hyph=Yes\|POS=INTJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Fut\|VerbForm=Part\|Voice=Pass`, `Aspect=Hab\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Com\|Number=Sing\|POS=NOUN`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|NumForm=Word\|NumType=Sets\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Mult\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Hab\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Fut\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=NOUN`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Ind`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|NumType=Card\|POS=NUM`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|VerbForm=Conv`, `Case=Loc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|NumForm=Word\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `advmod:emph`, `amod`, `appos`, `case`, `cc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `flat`, `flat:foreign`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `nummod:gov`, `obj`, `obl`, `obl:arg`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `2`, `3`, `5`, `7`, `9`, `12`, `16`, `18`, `19`, `21`, `24`, `26`, `30`, `32`, `34`, `37`, `39`, `41`, `43`, `44`, `46`, `48`, `50`, `52`, `55`, `59`, `62`, `64`, `66`, `68`, `70`, `72`, `74`, `75`, `77`, `79`, `81`, `84`, `86`, `88`, `90`, `92`, `94`, `96`, `98`, `101`, `103`, `105`, `107`, `109`, `110`, `111`, `113`, `115`, `117`, `119`, `121`, `123`, `125`, `127`, `129`, `131`, `133`, `135`, `137`, `139`, `142`, `146`, `148`, `151`, `153`, `155`, `158`, `162`, `165`, `167`, `168`, `170`, `173`, `175`, `177`, `180`, `182`, `184`, `185`, `187`, `189`, `190`, `194`, `195`, `196`, `197`, `200`, `202`, `204`, `205`, `206`, `207`, `208`, `209`, `211`, `213`, `216`, `217`, `219`, `220`, `222`, `224`, `225`, `227`, `231`, `234`, `238`, `242`, `246`, `249`, `251`, `252`, `255`, `258`, `261`, `263`, `265`, `267`, `269`, `272`, `274`, `276`, `278`, `281`, `284`, `285`, `287`, `289`, `292`, `294`, `295`, `297`, `299`, `301`, `303`, `306`, `308`, `310`, `313`, `314`, `317`, `319`, `323`, `325`, `328`, `331`, `333`, `336`, `339`, `341`, `344`, `346`, `350`, `353`, `356`, `359`, `360`, `363`, `366`, `368`, `371`, `374`, `376`, `378`, `380`, `382`, `384`, `385`, `387`, `389`, `390`, `391`, `393`, `395`, `397`, `402`, `403`, `404`, `406`, `408`, `409`, `413`, `415`, `417`, `419`, `420`, `423`, `424`, `426`, `429`, `432`, `434`, `436`, `439`, `442`, `445`, `447`, `448`, `450`, `452`, `455`, `456`, `458`, `460`, `463`, `465`, `468`, `472`, `475`, `477`, `480`, `482`, `483`, `485`, `487`, `488`, `489`, `491`, `492`, `494`, `496`, `497`, `500`, `501`, `502`, `504`, `505`, `506`, `508`, `509`, `513`, `515`, `518`, `519`, `521`, `522`, `523`, `525`, `527`, `529`, `533`, `535`, `538`, `541`, `542`, `545`, `547`, `550`, `552`, `554`, `555`, `557`, `560`, `561`, `563`, `566`, `569`, `572`, `574`, `577`, `580`, `582`, `584`, `589`, `594`, `596`, `599`, `600`, `602`, `604`, `607`, `609`, `611`, `613`, `615`, `616`, `619`, `623`, `625`, `628`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.96 |
| `TOKEN_P` | 99.94 |
| `TOKEN_R` | 99.98 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 95.65 |
| `SENTS_P` | 96.84 |
| `SENTS_R` | 94.49 |
| `TAG_ACC` | 95.43 |
| `POS_ACC` | 98.07 |
| `MORPH_ACC` | 95.50 |
| `DEP_UAS` | 88.11 |
| `DEP_LAS` | 83.62 |
| `LEMMA_ACC` | 90.46 |
|
{"language": ["lt"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/lt_udv25_lithuanianalksnis_trf
| null |
[
"spacy",
"token-classification",
"lt",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Latvian-LVTB
| Feature | Description |
| --- | --- |
| **Name** | `lv_udv25_latvianlvtb_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (6012 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `X`, `affpanc`, `affpanp`, `affpayc`, `affpayp`, `affpays`, `affpdnc`, `affpdnp`, `affpdyc`, `affpdyp`, `affpdys`, `affpgnp`, `affpgyc`, `affpgyp`, `affplnc`, `affplnp`, `affplyc`, `affplyp`, `affpnnc`, `affpnnp`, `affpnyc`, `affpnyp`, `affpnys`, `affsanc`, `affsanp`, `affsayc`, `affsayp`, `affsays`, `affsdnc`, `affsdnp`, `affsdyc`, `affsdyp`, `affsgnc`, `affsgnp`, `affsgyc`, `affsgyp`, `affsgys`, `affslnc`, `affslnp`, `affslyc`, `affslyp`, `affslys`, `affsnnc`, `affsnnp`, `affsnyc`, `affsnyp`, `affsnys`, `affsvyp`, `afmpanc`, `afmpanp`, `afmpayc`, `afmpayp`, `afmpays`, `afmpdnc`, `afmpdnp`, `afmpdyc`, `afmpdyp`, `afmpdys`, `afmpgnc`, `afmpgnp`, `afmpgyc`, `afmpgyp`, `afmpgys`, `afmplnc`, `afmplnp`, `afmplyc`, `afmplyp`, `afmplys`, `afmpnnc`, `afmpnnp`, `afmpnyc`, `afmpnyp`, `afmpnys`, `afmpvyp`, `afmsanc`, `afmsanp`, `afmsayc`, `afmsayp`, `afmsays`, `afmsdnc`, `afmsdnp`, `afmsdyc`, `afmsdyp`, `afmsdys`, `afmsgnc`, `afmsgnp`, `afmsgyc`, `afmsgyp`, `afmsgys`, `afmslnc`, `afmslnp`, `afmslyc`, `afmslyp`, `afmslys`, `afmsnnc`, `afmsnnp`, `afmsnyc`, `afmsnyp`, `afmsnys`, `arfpanp`, `arfpayp`, `arfpdnp`, `arfpdyc`, `arfpdyp`, `arfpgnp`, `arfpgyp`, `arfplnc`, `arfplnp`, `arfplyc`, `arfplyp`, `arfpnnc`, `arfpnnp`, `arfpnyp`, `arfpnys`, `arfsanp`, `arfsayp`, `arfsdnp`, `arfsdyp`, `arfsgnc`, `arfsgnp`, `arfsgyp`, `arfslnp`, `arfslyp`, `arfsnnc`, `arfsnnp`, `arfsnyc`, `arfsnyp`, `arfsvyp`, `armpanp`, `armpayc`, `armpayp`, `armpdnp`, `armpdyc`, `armpdyp`, `armpdys`, `armpgnp`, `armpgyp`, `armplnp`, `armplyc`, `armplyp`, `armpnnc`, `armpnnp`, `armpnyc`, `armpnyp`, `armsanp`, `armsayc`, `armsayp`, `armsdnp`, `armsdyp`, `armsgnp`, `armsgyp`, `armslnp`, `armslyp`, `armsnnp`, `armsnyp`, `armsnys`, `cc`, `cs`, `i`, `mcc0p0`, `mccfpa`, `mccmpn`, `mccmsa`, `mcs0p0`, `mcsfp0`, `mcsfpa`, `mcsfpd`, `mcsfpg`, `mcsfpl`, `mcsfpn`, `mcsfsa`, `mcsfsd`, `mcsfsg`, `mcsfsl`, `mcsfsn`, `mcsmpa`, `mcsmpd`, `mcsmpg`, `mcsmpl`, `mcsmpn`, `mcsmsa`, `mcsmsd`, `mcsmsg`, `mcsmsl`, `mcsmsn`, `mfcfsa`, `mfcfsg`, `mfcfsn`, `mfsmsg`, `mocfsg`, `mocmsg`, `mosfpa`, `mosfpd`, `mosfpg`, `mosfpl`, `mosfpn`, `mosfsa`, `mosfsd`, `mosfsg`, `mosfsl`, `mosfsn`, `mosmpa`, `mosmpd`, `mosmpg`, `mosmpl`, `mosmpn`, `mosmsa`, `mosmsd`, `mosmsg`, `mosmsl`, `mosmsn`, `n0msa1`, `nc0000`, `nc000g`, `nc00g1`, `nc00gg`, `ncfda4`, `ncfda5`, `ncfda6`, `ncfdd4`, `ncfdd5`, `ncfdd6`, `ncfdg4`, `ncfdg5`, `ncfdg6`, `ncfdgg`, `ncfdl4`, `ncfdl5`, `ncfdl6`, `ncfdn4`, `ncfdn5`, `ncfdn6`, `ncfpa4`, `ncfpa5`, `ncfpa6`, `ncfpar`, `ncfpd4`, `ncfpd5`, `ncfpd6`, `ncfpdr`, `ncfpg1`, `ncfpg2`, `ncfpg4`, `ncfpg5`, `ncfpg6`, `ncfpgg`, `ncfpl4`, `ncfpl5`, `ncfpl6`, `ncfpn1`, `ncfpn4`, `ncfpn5`, `ncfpn6`, `ncfpnr`, `ncfsa1`, `ncfsa2`, `ncfsa4`, `ncfsa5`, `ncfsa6`, `ncfsar`, `ncfsd4`, `ncfsd5`, `ncfsd6`, `ncfsg1`, `ncfsg4`, `ncfsg5`, `ncfsg6`, `ncfsgg`, `ncfsgr`, `ncfsl1`, `ncfsl4`, `ncfsl5`, `ncfsl6`, `ncfslr`, `ncfsn4`, `ncfsn5`, `ncfsn6`, `ncfsnr`, `ncfsv4`, `ncfsv5`, `ncfva4`, `ncfva5`, `ncfvd5`, `ncfvg4`, `ncfvg5`, `ncfvl4`, `ncfvl5`, `ncfvn5`, `ncm000`, `ncmda1`, `ncmda2`, `ncmda6`, `ncmdd1`, `ncmdd2`, `ncmdd3`, `ncmdd6`, `ncmdg1`, `ncmdg2`, `ncmdg3`, `ncmdg6`, `ncmdgg`, `ncmdl1`, `ncmdl2`, `ncmdn1`, `ncmdn2`, `ncmdn6`, `ncmpa1`, `ncmpa2`, `ncmpa3`, `ncmpa4`, `ncmpd1`, `ncmpd2`, `ncmpd3`, `ncmpd5`, `ncmpg1`, `ncmpg2`, `ncmpg3`, `ncmpg4`, `ncmpg5`, `ncmpg6`, `ncmpgg`, `ncmpl1`, `ncmpl2`, `ncmpl3`, `ncmpl4`, `ncmpn0`, `ncmpn1`, `ncmpn2`, `ncmpn3`, `ncmpn4`, `ncmpn5`, `ncmpv1`, `ncmpv2`, `ncmsa1`, `ncmsa2`, `ncmsa3`, `ncmsa4`, `ncmsa5`, `ncmsd1`, `ncmsd2`, `ncmsd3`, `ncmsd4`, `ncmsg0`, `ncmsg1`, `ncmsg2`, `ncmsg3`, `ncmsg4`, `ncmsgg`, `ncmsgr`, `ncmsl1`, `ncmsl2`, `ncmsl3`, `ncmsl4`, `ncmsl5`, `ncmsn1`, `ncmsn2`, `ncmsn3`, `ncmsn4`, `ncmsnr`, `ncmsv1`, `ncmsv2`, `ncmva1`, `ncmva3`, `ncmvd1`, `ncmvd3`, `ncmvg1`, `ncmvg3`, `ncmvl1`, `ncmvl3`, `ncmvn1`, `ncmvn3`, `np0000`, `npfda4`, `npfdd4`, `npfdd6`, `npfdg1`, `npfdg4`, `npfdg6`, `npfdl4`, `npfdl6`, `npfdn4`, `npfdn5`, `npfdn6`, `npfpa5`, `npfpd5`, `npfpg2`, `npfpg4`, `npfpn4`, `npfpn5`, `npfsa4`, `npfsa5`, `npfsa6`, `npfsd4`, `npfsd5`, `npfsg1`, `npfsg3`, `npfsg4`, `npfsg5`, `npfsg6`, `npfsl4`, `npfsl5`, `npfsl6`, `npfsn3`, `npfsn4`, `npfsn5`, `npfsn6`, `npfsv4`, `npfsv5`, `npmda1`, `npmda2`, `npmdd1`, `npmdd2`, `npmdg1`, `npmdg2`, `npmdl1`, `npmdl2`, `npmdn1`, `npmdn2`, `npmpa1`, `npmpd1`, `npmpd2`, `npmpg1`, `npmpg2`, `npmpgg`, `npmpl1`, `npmpl2`, `npmpn1`, `npmpn2`, `npmsa1`, `npmsa2`, `npmsa3`, `npmsa4`, `npmsa5`, `npmsd1`, `npmsd2`, `npmsd3`, `npmsd4`, `npmsd5`, `npmsg0`, `npmsg1`, `npmsg2`, `npmsg3`, `npmsg4`, `npmsg5`, `npmsl1`, `npmsl2`, `npmsn1`, `npmsn2`, `npmsn3`, `npmsn4`, `npmsn5`, `npmsv1`, `npmsv2`, `pd0fpan`, `pd0fpdn`, `pd0fpgn`, `pd0fpln`, `pd0fpnn`, `pd0fsan`, `pd0fsdn`, `pd0fsgn`, `pd0fsln`, `pd0fsnn`, `pd0mpan`, `pd0mpdn`, `pd0mpgn`, `pd0mpln`, `pd0mply`, `pd0mpnn`, `pd0msan`, `pd0msdn`, `pd0msgn`, `pd0msln`, `pd0msnn`, `pd3fpan`, `pd3fpdn`, `pd3fpgn`, `pd3fpln`, `pd3fpnn`, `pd3fsan`, `pd3fsdn`, `pd3fsgn`, `pd3fsln`, `pd3fsnn`, `pd3mpan`, `pd3mpdn`, `pd3mpgn`, `pd3mpln`, `pd3mpnn`, `pd3msan`, `pd3msdn`, `pd3msgn`, `pd3msln`, `pd3msnn`, `pg0fpan`, `pg0fpdn`, `pg0fpgn`, `pg0fpln`, `pg0fpnn`, `pg0fsan`, `pg0fsdn`, `pg0fsgn`, `pg0fsln`, `pg0fsnn`, `pg0mpan`, `pg0mpdn`, `pg0mpgn`, `pg0mpln`, `pg0mpnn`, `pg0msan`, `pg0msdn`, `pg0msgn`, `pg0msln`, `pg0msnn`, `pi000an`, `pi000ay`, `pi000dn`, `pi000dy`, `pi000gn`, `pi000gy`, `pi000nn`, `pi000ny`, `pi0fpan`, `pi0fpay`, `pi0fpdn`, `pi0fpgn`, `pi0fpgy`, `pi0fpln`, `pi0fply`, `pi0fpnn`, `pi0fpny`, `pi0fsan`, `pi0fsay`, `pi0fsdn`, `pi0fsgn`, `pi0fsgy`, `pi0fsln`, `pi0fsnn`, `pi0fsny`, `pi0mpan`, `pi0mpay`, `pi0mpdn`, `pi0mpgn`, `pi0mpgy`, `pi0mpln`, `pi0mpnn`, `pi0mpny`, `pi0msan`, `pi0msay`, `pi0msdn`, `pi0msdy`, `pi0msgn`, `pi0msgy`, `pi0msln`, `pi0msly`, `pi0msnn`, `pi0msny`, `pi3msnn`, `pp10pan`, `pp10pdn`, `pp10pgn`, `pp10pln`, `pp10pnn`, `pp10san`, `pp10sdn`, `pp10sgn`, `pp10sln`, `pp10snn`, `pp1mpgn`, `pp20pan`, `pp20pdn`, `pp20pgn`, `pp20pnn`, `pp20san`, `pp20sdn`, `pp20sgn`, `pp20sln`, `pp20snn`, `pp2fsln`, `pp3fpan`, `pp3fpdn`, `pp3fpgn`, `pp3fpnn`, `pp3fsan`, `pp3fsdn`, `pp3fsgn`, `pp3fsln`, `pp3fsnn`, `pp3mpan`, `pp3mpdn`, `pp3mpgn`, `pp3mpln`, `pp3mpnn`, `pp3msan`, `pp3msdn`, `pp3msgn`, `pp3msln`, `pp3msnn`, `pq000an`, `pq000dn`, `pq000gn`, `pq000nn`, `pq0fpan`, `pq0fpnn`, `pq0fsnn`, `pq0mpnn`, `pq0msan`, `pq0msdn`, `pq0msln`, `pq0msnn`, `pr000an`, `pr000dn`, `pr000gn`, `pr000nn`, `pr00pgn`, `pr0fpan`, `pr0fpdn`, `pr0fpgn`, `pr0fpln`, `pr0fpnn`, `pr0fsan`, `pr0fsdn`, `pr0fsgn`, `pr0fsln`, `pr0fsnn`, `pr0mpan`, `pr0mpdn`, `pr0mpgn`, `pr0mpln`, `pr0mpnn`, `pr0msan`, `pr0msdn`, `pr0msgn`, `pr0msln`, `pr0msnn`, `ps0fpan`, `ps0fpdn`, `ps0fpgn`, `ps0fpln`, `ps0fpnn`, `ps0fsan`, `ps0fsdn`, `ps0fsgn`, `ps0fsln`, `ps0fsnn`, `ps0mpan`, `ps0mpdn`, `ps0mpgn`, `ps0mpln`, `ps0mpnn`, `ps0msan`, `ps0msdn`, `ps0msgn`, `ps0msln`, `ps0msnn`, `ps10sgn`, `ps1mpnn`, `ps1msgn`, `ps1msnn`, `ps2fsnn`, `px000an`, `px000dn`, `px000gn`, `px000ln`, `q`, `r0c`, `r0m`, `r0p`, `r0q`, `r0t`, `rcc`, `rcm`, `rcp`, `rcq`, `rct`, `rpc`, `rpm`, `rpp`, `rpq`, `rpt`, `rrm`, `rrp`, `rrt`, `rsm`, `rsp`, `rsq`, `rst`, `sp00`, `sppd`, `sppg`, `spsa`, `spsd`, `spsg`, `stpg`, `stsg`, `vcnc0ii00an`, `vcnc0ii00ay`, `vcnd0ii00an`, `vcnifi130an`, `vcnifii1pan`, `vcnifii1pay`, `vcnifii1san`, `vcnifii1say`, `vcnifii2pan`, `vcnifii2pay`, `vcnifii2san`, `vcnifii2say`, `vcnifii30an`, `vcnifii30ay`, `vcnipii1pan`, `vcnipii1pay`, `vcnipii1san`, `vcnipii1say`, `vcnipii2pan`, `vcnipii2pay`, `vcnipii2san`, `vcnipii2say`, `vcnipii30an`, `vcnipii30ay`, `vcnisii1pan`, `vcnisii1pay`, `vcnisii1san`, `vcnisii1say`, `vcnisii2pay`, `vcnisii30an`, `vcnisii30ay`, `vcnist330an`, `vcnm0ii2pan`, `vcnm0ii2san`, `vcnn0ii000n`, `vcnn0ii000y`, `vcnn0ii00an`, `vcnn0t3000n`, `vcnpdfpnasnpn`, `vcnpdfsaasypn`, `vcnpdfsgapypn`, `vcnpdfsnapnpn`, `vcnpdfsnasnpn`, `vcnpdmplasypn`, `vcnpdmpnasnpn`, `vcnpdmsaasnpy`, `vcnpdmsaasypn`, `vcnpdmsnasn0n`, `vcnpdmsnasnpn`, `vcnppfsn0000n`, `vcnppmpn0000n`, `vcnppmsn0000n`, `vcnpu0000000n`, `vcnrfii00an`, `vcnrpii00an`, `vcnrpii00ay`, `venipi130an`, `venipi130ay`, `venisi130an`, `veyifii30an`, `veyipi130an`, `veyipi130ay`, `veyipi330an`, `veyipii30an`, `veyipii30ay`, `veyisi130an`, `veyisi330an`, `veyisii30an`, `veyisii30ay`, `veypdmpnasnpn`, `veypdmsnasnpn`, `vgnpdmsgapypn`, `vmnc0i100an`, `vmnc0i100ay`, `vmnc0i10say`, `vmnc0i200an`, `vmnc0i300an`, `vmnc0i300ay`, `vmnc0ii000n`, `vmnc0ii00an`, `vmnc0ii00ay`, `vmnc0t100an`, `vmnc0t100ay`, `vmnc0t200an`, `vmnc0t200ay`, `vmnc0t300an`, `vmnc0t300ay`, `vmnc0ti00an`, `vmnd0i100an`, `vmnd0i200an`, `vmnd0i300an`, `vmnd0ii00an`, `vmnd0t100an`, `vmnd0t130an`, `vmnd0t200an`, `vmnd0t300an`, `vmnd0ti00an`, `vmnd0ti00pn`, `vmnifi11pan`, `vmnifi11pay`, `vmnifi11san`, `vmnifi11say`, `vmnifi12pan`, `vmnifi12san`, `vmnifi130an`, `vmnifi130ay`, `vmnifi13san`, `vmnifi21pan`, `vmnifi21san`, `vmnifi21say`, `vmnifi22san`, `vmnifi230an`, `vmnifi230ay`, `vmnifi31pan`, `vmnifi32san`, `vmnifi32say`, `vmnifi330an`, `vmnifi330ay`, `vmnifii1san`, `vmnifii2san`, `vmnifii30an`, `vmnifii30ay`, `vmnift11pan`, `vmnift11pay`, `vmnift11san`, `vmnift11say`, `vmnift12pan`, `vmnift12san`, `vmnift12say`, `vmnift130an`, `vmnift130ay`, `vmnift21pan`, `vmnift21pay`, `vmnift21san`, `vmnift21say`, `vmnift22pan`, `vmnift22pay`, `vmnift22san`, `vmnift22say`, `vmnift230an`, `vmnift230ay`, `vmnift31pan`, `vmnift31pay`, `vmnift31san`, `vmnift31say`, `vmnift32pan`, `vmnift32san`, `vmnift32say`, `vmnift330an`, `vmnift330ay`, `vmnifti1san`, `vmnifti2san`, `vmnifti30an`, `vmnim0230an`, `vmnipi11pan`, `vmnipi11pay`, `vmnipi11san`, `vmnipi12pan`, `vmnipi12san`, `vmnipi130an`, `vmnipi130ay`, `vmnipi21pan`, `vmnipi21san`, `vmnipi22pan`, `vmnipi22pay`, `vmnipi22san`, `vmnipi230an`, `vmnipi230ay`, `vmnipi23san`, `vmnipi31pan`, `vmnipi31san`, `vmnipi31say`, `vmnipi32pan`, `vmnipi32san`, `vmnipi330an`, `vmnipi330ay`, `vmnipii1pan`, `vmnipii1san`, `vmnipii2pan`, `vmnipii2pay`, `vmnipii2san`, `vmnipii30an`, `vmnipii30ay`, `vmnipt110an`, `vmnipt11pan`, `vmnipt11pay`, `vmnipt11san`, `vmnipt11say`, `vmnipt12pan`, `vmnipt12san`, `vmnipt12say`, `vmnipt130an`, `vmnipt130ay`, `vmnipt21pan`, `vmnipt21pay`, `vmnipt21san`, `vmnipt21say`, `vmnipt22pan`, `vmnipt22san`, `vmnipt22say`, `vmnipt230an`, `vmnipt230ay`, `vmnipt23san`, `vmnipt31pan`, `vmnipt31pay`, `vmnipt31san`, `vmnipt31say`, `vmnipt32pan`, `vmnipt32san`, `vmnipt32say`, `vmnipt330an`, `vmnipt330ay`, `vmnipti1pan`, `vmnipti1san`, `vmnipti2pan`, `vmnipti30an`, `vmnipti30ay`, `vmnipti3san`, `vmnisi11pan`, `vmnisi11san`, `vmnisi11say`, `vmnisi12san`, `vmnisi130an`, `vmnisi130ay`, `vmnisi21pan`, `vmnisi21san`, `vmnisi22pan`, `vmnisi230an`, `vmnisi230ay`, `vmnisi31pan`, `vmnisi31san`, `vmnisi31say`, `vmnisi330an`, `vmnisi330ay`, `vmnisii1pan`, `vmnisii1pay`, `vmnisii1san`, `vmnisii2san`, `vmnisii30an`, `vmnisii30ay`, `vmnist11pan`, `vmnist11pay`, `vmnist11san`, `vmnist11say`, `vmnist12pan`, `vmnist12san`, `vmnist130an`, `vmnist130ay`, `vmnist21pan`, `vmnist21pay`, `vmnist21san`, `vmnist21say`, `vmnist230an`, `vmnist230ay`, `vmnist31pan`, `vmnist31pay`, `vmnist31san`, `vmnist31say`, `vmnist32pan`, `vmnist32san`, `vmnist32say`, `vmnist330an`, `vmnist330ay`, `vmnisti1san`, `vmnisti30an`, `vmnisti30ay`, `vmnm0i12pan`, `vmnm0i12pay`, `vmnm0i12san`, `vmnm0i12say`, `vmnm0i21san`, `vmnm0i22pan`, `vmnm0i22san`, `vmnm0i32pan`, `vmnm0i32san`, `vmnm0i32say`, `vmnm0ii1pan`, `vmnm0ii2pan`, `vmnm0ii2san`, `vmnm0t11san`, `vmnm0t12pan`, `vmnm0t12pay`, `vmnm0t12san`, `vmnm0t12say`, `vmnm0t130an`, `vmnm0t21san`, `vmnm0t21say`, `vmnm0t22pan`, `vmnm0t22san`, `vmnm0t22say`, `vmnm0t230an`, `vmnm0t31san`, `vmnm0t32pan`, `vmnm0t32pay`, `vmnm0t32san`, `vmnm0t32say`, `vmnm0ti2pan`, `vmnm0ti2san`, `vmnmpi130ay`, `vmnmpi32san`, `vmnmpii2pan`, `vmnmpt12pan`, `vmnmpt12say`, `vmnmpt130ay`, `vmnmpt22san`, `vmnmpt32pan`, `vmnmpt32san`, `vmnn0i1000n`, `vmnn0i1000y`, `vmnn0i100an`, `vmnn0i130an`, `vmnn0i2000n`, `vmnn0i2000y`, `vmnn0i200an`, `vmnn0i3000n`, `vmnn0i3000y`, `vmnn0i300an`, `vmnn0ii000n`, `vmnn0ii000y`, `vmnn0t1000n`, `vmnn0t1000y`, `vmnn0t100an`, `vmnn0t2000n`, `vmnn0t2000y`, `vmnn0t200an`, `vmnn0t3000n`, `vmnn0t3000y`, `vmnn0t300an`, `vmnn0ti000n`, `vmnn0ti00an`, `vmnpdfpaapnpn`, `vmnpdfpaapypn`, `vmnpdfpaasnpn`, `vmnpdfpaasypn`, `vmnpdfpappnpn`, `vmnpdfpappnpy`, `vmnpdfpappypn`, `vmnpdfpapsnpn`, `vmnpdfpapsnpy`, `vmnpdfpapsypn`, `vmnpdfpdapnpn`, `vmnpdfpdapnpy`, `vmnpdfpdapypn`, `vmnpdfpdapysn`, `vmnpdfpdasnpn`, `vmnpdfpdasypn`, `vmnpdfpdppnpn`, `vmnpdfpdppnpy`, `vmnpdfpdppypn`, `vmnpdfpdpsnpn`, `vmnpdfpdpsypn`, `vmnpdfpdpsypy`, `vmnpdfpgapncn`, `vmnpdfpgapypn`, `vmnpdfpgppnpn`, `vmnpdfpgppnpy`, `vmnpdfpgppypn`, `vmnpdfpgpsnpn`, `vmnpdfpgpsypn`, `vmnpdfplapnpn`, `vmnpdfplapypn`, `vmnpdfplasnpn`, `vmnpdfplasypn`, `vmnpdfplppnpy`, `vmnpdfplpsnpn`, `vmnpdfplpsypn`, `vmnpdfpnapn0n`, `vmnpdfpnapnpn`, `vmnpdfpnapnpy`, `vmnpdfpnapypn`, `vmnpdfpnasnpn`, `vmnpdfpnasypn`, `vmnpdfpnasypy`, `vmnpdfpnppnpn`, `vmnpdfpnppnpy`, `vmnpdfpnppypn`, `vmnpdfpnpsnpn`, `vmnpdfpnpsnpy`, `vmnpdfpnpsypn`, `vmnpdfpnpsypy`, `vmnpdfsaapn0n`, `vmnpdfsaapncn`, `vmnpdfsaapnpn`, `vmnpdfsaapnpy`, `vmnpdfsaapypn`, `vmnpdfsaasnpn`, `vmnpdfsaasypn`, `vmnpdfsappnpn`, `vmnpdfsappnpy`, `vmnpdfsappypn`, `vmnpdfsappypy`, `vmnpdfsapsncn`, `vmnpdfsapsnpn`, `vmnpdfsapsnpy`, `vmnpdfsapsypn`, `vmnpdfsdapnpn`, `vmnpdfsdapypn`, `vmnpdfsdasnpn`, `vmnpdfsdasypn`, `vmnpdfsdppnpn`, `vmnpdfsdppypn`, `vmnpdfsdpsnpn`, `vmnpdfsdpsnpy`, `vmnpdfsdpsypn`, `vmnpdfsgapnpn`, `vmnpdfsgapypn`, `vmnpdfsgasnpn`, `vmnpdfsgasypn`, `vmnpdfsgppnpn`, `vmnpdfsgppnpy`, `vmnpdfsgppypn`, `vmnpdfsgpsnpn`, `vmnpdfsgpsypn`, `vmnpdfsgpsypy`, `vmnpdfslapnpn`, `vmnpdfslapypn`, `vmnpdfslasnpn`, `vmnpdfslasypn`, `vmnpdfslppnpn`, `vmnpdfslppypn`, `vmnpdfslpsnpn`, `vmnpdfslpsypn`, `vmnpdfslpsypy`, `vmnpdfsnapnpn`, `vmnpdfsnapnpy`, `vmnpdfsnapypn`, `vmnpdfsnapysn`, `vmnpdfsnasn0n`, `vmnpdfsnasnpn`, `vmnpdfsnasnpy`, `vmnpdfsnasypn`, `vmnpdfsnppncn`, `vmnpdfsnppnpn`, `vmnpdfsnppnpy`, `vmnpdfsnppypn`, `vmnpdfsnppypy`, `vmnpdfsnpsncn`, `vmnpdfsnpsnpn`, `vmnpdfsnpsnpy`, `vmnpdfsnpsypn`, `vmnpdfsnpsypy`, `vmnpdmpaapnpn`, `vmnpdmpaapycn`, `vmnpdmpaapypn`, `vmnpdmpaasnpn`, `vmnpdmpaasypn`, `vmnpdmpappnpn`, `vmnpdmpappypn`, `vmnpdmpapsnpn`, `vmnpdmpapsnpy`, `vmnpdmpapsypn`, `vmnpdmpapsypy`, `vmnpdmpdapnpn`, `vmnpdmpdapypn`, `vmnpdmpdasnpn`, `vmnpdmpdasypn`, `vmnpdmpdppnpn`, `vmnpdmpdppycn`, `vmnpdmpdppypn`, `vmnpdmpdpsnpn`, `vmnpdmpdpsnpy`, `vmnpdmpdpsycn`, `vmnpdmpdpsypn`, `vmnpdmpdpsypy`, `vmnpdmpgapnpn`, `vmnpdmpgapypn`, `vmnpdmpgasnpn`, `vmnpdmpgasypn`, `vmnpdmpgppypn`, `vmnpdmpgpsnpn`, `vmnpdmpgpsypn`, `vmnpdmpgpsypy`, `vmnpdmplapnpn`, `vmnpdmplapypn`, `vmnpdmplpsnpn`, `vmnpdmplpsypn`, `vmnpdmpnapnpn`, `vmnpdmpnapypn`, `vmnpdmpnasnpn`, `vmnpdmpnasypn`, `vmnpdmpnppn0n`, `vmnpdmpnppnpn`, `vmnpdmpnppnpy`, `vmnpdmpnppypn`, `vmnpdmpnpsnpn`, `vmnpdmpnpsnpy`, `vmnpdmpnpsypn`, `vmnpdmpnpsypy`, `vmnpdmpvppypn`, `vmnpdmsaapnpn`, `vmnpdmsaapypn`, `vmnpdmsaasnpn`, `vmnpdmsaasypn`, `vmnpdmsappnpn`, `vmnpdmsappnpy`, `vmnpdmsappypn`, `vmnpdmsappypy`, `vmnpdmsapsnpn`, `vmnpdmsapsnpy`, `vmnpdmsapsypn`, `vmnpdmsapsypy`, `vmnpdmsdapnpn`, `vmnpdmsdapypn`, `vmnpdmsdasnpn`, `vmnpdmsdppnpn`, `vmnpdmsdppypn`, `vmnpdmsdppypy`, `vmnpdmsdpsnpn`, `vmnpdmsdpsypn`, `vmnpdmsdpsypy`, `vmnpdmsgapnpn`, `vmnpdmsgapypn`, `vmnpdmsgasnpn`, `vmnpdmsgasypn`, `vmnpdmsgppnpn`, `vmnpdmsgppy0n`, `vmnpdmsgppypn`, `vmnpdmsgppypy`, `vmnpdmsgpsnpn`, `vmnpdmsgpsycn`, `vmnpdmsgpsypn`, `vmnpdmsgpsypy`, `vmnpdmslapnpn`, `vmnpdmslapypn`, `vmnpdmslasnpn`, `vmnpdmslasypn`, `vmnpdmslppnpn`, `vmnpdmslppy0n`, `vmnpdmslppypn`, `vmnpdmslpsnpn`, `vmnpdmslpsypn`, `vmnpdmsnapnpn`, `vmnpdmsnapnpy`, `vmnpdmsnapypn`, `vmnpdmsnasn0n`, `vmnpdmsnasnpn`, `vmnpdmsnasnpy`, `vmnpdmsnasypn`, `vmnpdmsnppnpn`, `vmnpdmsnppnpy`, `vmnpdmsnppypn`, `vmnpdmsnppypy`, `vmnpdmsnpsnpn`, `vmnpdmsnpsnpy`, `vmnpdmsnpsycn`, `vmnpdmsnpsypn`, `vmnpdmsnpsypy`, `vmnppfpn0000y`, `vmnppfsn0000n`, `vmnppmpn0000n`, `vmnppmpnap00n`, `vmnppmpnap0pn`, `vmnppmpnap0py`, `vmnppmsn0000n`, `vmnpu0000000n`, `vmnpu0000000y`, `vmnpu000000pn`, `vmnpu00000n0n`, `vmnpu000apnpn`, `vmnpumpgpsnpn`, `vmnr0t100an`, `vmnr0t3000n`, `vmnrfi100an`, `vmnrft100an`, `vmnrft200an`, `vmnrft200ay`, `vmnrft300an`, `vmnrpi1000y`, `vmnrpi100an`, `vmnrpi2000n`, `vmnrpi200an`, `vmnrpi300an`, `vmnrpii00an`, `vmnrpii00ay`, `vmnrpt100an`, `vmnrpt100ay`, `vmnrpt200an`, `vmnrpt200ay`, `vmnrpt300an`, `vmnrpt300ay`, `vmyc0i100an`, `vmyc0i100ay`, `vmyc0i200an`, `vmyc0i200ay`, `vmyc0i300an`, `vmyc0i300ay`, `vmyc0t100an`, `vmyc0t200an`, `vmyc0t300an`, `vmyc0ti00an`, `vmyd0i100an`, `vmyd0i200an`, `vmyd0i300an`, `vmyd0ii00an`, `vmyd0t100an`, `vmyd0t200an`, `vmyd0t300an`, `vmyd0ti00an`, `vmyifi11pan`, `vmyifi11san`, `vmyifi11say`, `vmyifi12pan`, `vmyifi12san`, `vmyifi130an`, `vmyifi130ay`, `vmyifi21san`, `vmyifi230an`, `vmyifi230ay`, `vmyifi31pan`, `vmyifi31san`, `vmyifi31say`, `vmyifi32san`, `vmyifi330an`, `vmyifi330ay`, `vmyift11pan`, `vmyift130an`, `vmyift21san`, `vmyift31pan`, `vmyift32san`, `vmyift330an`, `vmyifti1san`, `vmyifti30an`, `vmyipi110ay`, `vmyipi11pan`, `vmyipi11san`, `vmyipi12pan`, `vmyipi12san`, `vmyipi12say`, `vmyipi130an`, `vmyipi130ay`, `vmyipi21pan`, `vmyipi21san`, `vmyipi21say`, `vmyipi22pan`, `vmyipi22san`, `vmyipi230an`, `vmyipi230ay`, `vmyipi31pan`, `vmyipi31san`, `vmyipi31say`, `vmyipi32pan`, `vmyipi32san`, `vmyipi330an`, `vmyipi330ay`, `vmyipii1pan`, `vmyipt11pan`, `vmyipt11san`, `vmyipt12san`, `vmyipt130an`, `vmyipt130ay`, `vmyipt21san`, `vmyipt22san`, `vmyipt230an`, `vmyipt31pan`, `vmyipt31san`, `vmyipt31say`, `vmyipt32pan`, `vmyipt32san`, `vmyipt32say`, `vmyipt330an`, `vmyipt330ay`, `vmyipti1pan`, `vmyipti1san`, `vmyipti2pan`, `vmyipti30an`, `vmyipti30ay`, `vmyisi11pan`, `vmyisi11san`, `vmyisi12san`, `vmyisi130an`, `vmyisi130ay`, `vmyisi13pan`, `vmyisi21pan`, `vmyisi21san`, `vmyisi22san`, `vmyisi230an`, `vmyisi230ay`, `vmyisi31pan`, `vmyisi31san`, `vmyisi31say`, `vmyisi32san`, `vmyisi330an`, `vmyisi330ay`, `vmyisii1san`, `vmyisii30an`, `vmyist11pan`, `vmyist11san`, `vmyist130an`, `vmyist21pan`, `vmyist230an`, `vmyist230ay`, `vmyist31pan`, `vmyist31san`, `vmyist32pan`, `vmyist330an`, `vmyist330ay`, `vmyisti1pan`, `vmyisti1san`, `vmyisti30an`, `vmyisti30ay`, `vmym0i11san`, `vmym0i12pan`, `vmym0i12san`, `vmym0i12say`, `vmym0i22pan`, `vmym0i22san`, `vmym0i22say`, `vmym0i32pan`, `vmym0i32pay`, `vmym0i32san`, `vmym0t22pan`, `vmym0t22san`, `vmym0t32pan`, `vmym0t32san`, `vmympi32san`, `vmympt32san`, `vmyn0i1000n`, `vmyn0i1000y`, `vmyn0i2000n`, `vmyn0i3000n`, `vmyn0i3000y`, `vmyn0ii000n`, `vmyn0ii00an`, `vmyn0t1000n`, `vmyn0t1000y`, `vmyn0t100an`, `vmyn0t2000n`, `vmyn0t3000n`, `vmyn0t3000y`, `vmyn0ti000n`, `vmypdfpaasnpn`, `vmypdfpnasnpn`, `vmypdfpnasnpy`, `vmypdfpnasypn`, `vmypdfpnppypn`, `vmypdfsaasnpn`, `vmypdfsaasnpy`, `vmypdfsnasn0n`, `vmypdfsnasnpn`, `vmypdmpaapnpn`, `vmypdmpaasypn`, `vmypdmpnasn0n`, `vmypdmpnasnpn`, `vmypdmsaapnpn`, `vmypdmsaasnpn`, `vmypdmsnasn0n`, `vmypdmsnasnpn`, `vmypdmsnasnpy`, `vmypdmsnpsnpn`, `vmyppf0n0000n`, `vmyppfsn0000n`, `vmyppfsn0000y`, `vmyppm0n0000n`, `vmyppmpn0000n`, `vmyppms00000n`, `vmyppmsn0000n`, `vmypu0000000n`, `vmypu0000000y`, `vmypu000000pn`, `vmypumsnasnpn`, `vmyrfi100an`, `vmyrpi200an`, `vmyrpi300an`, `vmyrpt100an`, `vmyrpt300an`, `vmyrpt300ay`, `vonc0i100an`, `vonc0i100ay`, `vonc0i300an`, `vonc0i300ay`, `vonc0t300ay`, `vond0i100an`, `vond0t300an`, `vondpi300an`, `vonifi11pay`, `vonifi12pay`, `vonifi130an`, `vonifi130ay`, `vonifi230an`, `vonifi31pan`, `vonifi31san`, `vonifi31say`, `vonifi32san`, `vonifi32say`, `vonifi330an`, `vonifi330ay`, `vonift31say`, `vonift32san`, `vonift330an`, `vonift330ay`, `vonipi11pan`, `vonipi11pay`, `vonipi11san`, `vonipi11say`, `vonipi12pan`, `vonipi130an`, `vonipi130ay`, `vonipi21pan`, `vonipi230an`, `vonipi230ay`, `vonipi300ay`, `vonipi31pan`, `vonipi31pay`, `vonipi31san`, `vonipi31say`, `vonipi32pan`, `vonipi32pay`, `vonipi32san`, `vonipi32say`, `vonipi330an`, `vonipi330ay`, `vonipii30an`, `vonipt130an`, `vonipt230an`, `vonipt31pan`, `vonipt31pay`, `vonipt31san`, `vonipt31say`, `vonipt32pan`, `vonipt32san`, `vonipt330an`, `vonipt330ay`, `vonisi11san`, `vonisi11say`, `vonisi130an`, `vonisi130ay`, `vonisi230an`, `vonisi31pan`, `vonisi31pay`, `vonisi31san`, `vonisi31say`, `vonisi32pan`, `vonisi330an`, `vonisi330ay`, `vonist130an`, `vonist330an`, `vonist330ay`, `vonm0i32san`, `vonmpi32san`, `vonn0i3000n`, `vonn0t3000n`, `vonpdfpn00npy`, `vonpdfpnasnpn`, `vonpdfsnasnpn`, `vonpdfsnasnpy`, `vonpdmpnasnpn`, `vonpdmsnasnpn`, `vonpdmsnpsnpn`, `vonpdmsnpsypn`, `vonppfsn0000n`, `vonppmsn0000n`, `vonppmsn0000y`, `vonpu0000000n`, `vonpu0000000y`, `vonrft300an`, `vonrpi100ay`, `vonrpi300an`, `vonrpi300ay`, `vonrpt300an`, `vonrpt300ay`, `voyc0i100an`, `voyc0i100ay`, `voyc0i300an`, `voyc0i300ay`, `voyc0t300an`, `voyd0i100an`, `voyifi12san`, `voyifi130an`, `voyifi330an`, `voyifi330ay`, `voyifii30an`, `voyipi11pan`, `voyipi11san`, `voyipi11say`, `voyipi130an`, `voyipi130ay`, `voyipi230ay`, `voyipi300ay`, `voyipi31pan`, `voyipi31san`, `voyipi31say`, `voyipi32pan`, `voyipi330an`, `voyipi330ay`, `voyipii30an`, `voyipt11pan`, `voyipt130an`, `voyipt31san`, `voyipt32san`, `voyipt330an`, `voyipt330ay`, `voyisi11pan`, `voyisi11san`, `voyisi11say`, `voyisi130an`, `voyisi230an`, `voyisi31san`, `voyisi31say`, `voyisi330an`, `voyisi330ay`, `voyist11san`, `voyist330an`, `voym0i12pay`, `voyn0i1000n`, `voyn0i3000n`, `voyn0t1000n`, `voyp0msnap00n`, `voypdfsnasnpn`, `voypdmpnasnpn`, `voypdmsnasnpn`, `voypdmsnasnpy`, `voypu0000000n`, `voyrfi100an`, `voyrpi100an`, `voyrpi300ay`, `vpnc0i100an`, `vpnc0i300an`, `vpnd0i100an`, `vpnd0t100an`, `vpnifi12san`, `vpnifi130an`, `vpnifi31pan`, `vpnifi330an`, `vpnift130an`, `vpnift31pan`, `vpnipi11pan`, `vpnipi11pay`, `vpnipi11san`, `vpnipi130an`, `vpnipi130ay`, `vpnipi330an`, `vpnipt11pan`, `vpnipt11san`, `vpnipt130an`, `vpnipt31pan`, `vpnisi11pan`, `vpnisi11san`, `vpnisi11say`, `vpnisi130an`, `vpnisi130ay`, `vpnisi230an`, `vpnisi31san`, `vpnisi330an`, `vpnist11san`, `vpnist130an`, `vpnist330an`, `vpnisti30an`, `vpnm0i12san`, `vpnm0i32san`, `vpnm0t32san`, `vpnn0i1000n`, `vpnn0i3000n`, `vpnn0t1000n`, `vpnn0t3000n`, `vpnpdfpnasnpn`, `vpnpdfsgasypn`, `vpnpdfsnasnpn`, `vpnpdmpnasnpn`, `vpnpdmsnasnpn`, `vpnpdmsnpsnpn`, `vpnppmsn0000n`, `vpnpu0000000n`, `vpyifi130an`, `vpyipi130an`, `vpyisi130an`, `vtnc0i100an`, `vtnc0i100ay`, `vtnc0t200an`, `vtnd0i100an`, `vtnifi11pay`, `vtnifi11san`, `vtnifi130an`, `vtnifi130ay`, `vtnift130an`, `vtnipi11pan`, `vtnipi11san`, `vtnipi130an`, `vtnipi130ay`, `vtnipi230an`, `vtnipii30an`, `vtnipt230an`, `vtnipt330an`, `vtnisi11san`, `vtnisi12san`, `vtnisi130an`, `vtnisi130ay`, `vtnist330an`, `vtnn0i1000n`, `vtnn0i100an`, `vtnn0t1000n`, `vtnpdfpnasnpn`, `vtnpdfsnasnpn`, `vtnpdmpnasnpn`, `vtnpdmsnasnpn`, `vtnppmsn0000n`, `vtnpu0000000n`, `vtnrpi100an`, `vtyc0i300ay`, `vtyifi330an`, `vtyipi11san`, `vtyipi130an`, `vtyipi130ay`, `vtyipi330an`, `vtyipi330ay`, `vtyipt11pay`, `vtyipt11say`, `vtyipt130an`, `vtyipt330an`, `vtyisi11san`, `vtyisi130an`, `vtyisi330an`, `vtyist11pan`, `vtyist11san`, `vtyist130an`, `vtyist330an`, `vtyn0i1000n`, `vtyn0i3000n`, `vtyn0t1000n`, `vtyn0t3000n`, `vtypdfsnasnpn`, `vtypdmsnasnpn`, `xf`, `xn`, `xo`, `xu`, `xx`, `ya`, `yd`, `yn`, `yp`, `yr`, `yv`, `z_`, `zb`, `zc`, `zd`, `zo`, `zq`, `zs`, `zx` |
| **`morphologizer`** | `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `POS=PUNCT`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PART`, `POS=CCONJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Evident=Fh\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADP`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=ADV`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `NumType=Card\|POS=NUM`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Coll\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADV\|PronType=Dem`, `POS=ADV\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat\|Gender=Fem\|Number=Ptan\|POS=PROPN`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Ptan\|POS=PROPN`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|Typo=Yes`, `POS=SCONJ`, `Mood=Cnd\|POS=VERB\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|POS=PRON\|PronType=Rel`, `POS=AUX\|Polarity=Pos\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Ptan\|POS=NOUN`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|POS=PRON\|PronType=Rel`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `POS=CCONJ\|Polarity=Neg`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Coll\|POS=NOUN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Cmp\|POS=ADV`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|POS=PROPN`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Ptan\|POS=NOUN`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=ADV\|PronType=Neg`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Ptan\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Inf`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|POS=PRON\|PronType=Ind,Neg`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|POS=PRON\|PronType=Rel`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Cnd\|POS=VERB\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|PronType=Ind`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Ptan\|POS=NOUN`, `Aspect=Imp\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Ptan\|POS=NOUN`, `Case=Loc\|Gender=Masc\|Number=Coll\|POS=NOUN`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Evident=Nfh\|Mood=Qot\|POS=AUX\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Evident=Nfh\|Mood=Qot\|POS=AUX\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Ptan\|POS=NOUN`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Mood=Cnd\|POS=AUX\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|POS=AUX\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Mood=Nec\|POS=VERB\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=PART\|Polarity=Neg`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Acc\|POS=PRON\|PronType=Int`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `POS=VERB\|Polarity=Neg\|Reflex=Yes\|VerbForm=Conv`, `Evident=Fh\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind,Neg`, `Mood=Nec\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|POS=PRON\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Ptan\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Ptan\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|Polarity=Neg\|VerbForm=Inf`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Fem\|NumType=Frac\|Number=Sing\|POS=NUM`, `Mood=Cnd\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Ptan\|POS=NOUN`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Ptan\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=NOUN`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel\|Typo=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `NumType=Ord\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Rel`, `POS=PROPN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Gender=Masc\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Mood=Nec\|POS=AUX\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Aspect=Imp\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Coll\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Coll\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Coll\|POS=NOUN`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `POS=SYM`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Foreign=Yes\|POS=X\|Typo=Yes`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `POS=CCONJ\|Typo=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Typo=Yes`, `POS=X\|Typo=Yes`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|POS=SYM`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Mood=Cnd\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Foreign=Yes\|POS=X`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel\|Typo=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|POS=NOUN`, `Aspect=Imp\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem\|Typo=Yes`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem\|Typo=Yes`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Ptan\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Gen\|POS=DET\|PronType=Rel`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `POS=PART\|Typo=Yes`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|PronType=Int,Neg`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|POS=PRON\|PronType=Ind,Neg`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|POS=DET\|PronType=Ind,Neg`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Typo=Yes`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Nom\|POS=PRON\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind,Neg`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|POS=PRON\|PronType=Int`, `Case=Gen\|POS=PRON\|PronType=Int`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `POS=ADV\|PronType=Tot`, `Aspect=Imp\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind,Neg`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Sup\|POS=ADV`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|POS=DET\|PronType=Ind`, `Case=Acc\|POS=PRON\|PronType=Ind,Neg`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Dat\|Gender=Masc\|Number=Ptan\|POS=PROPN`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|VerbForm=Conv`, `POS=INTJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind,Neg`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Loc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=PART\|Polarity=Pos`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Coll\|POS=NOUN`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `POS=ADV\|Typo=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Rel`, `Mood=Nec\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `NumType=Mult\|POS=ADV`, `Aspect=Imp\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|NumType=Frac\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Masc\|Number=Ptan\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind,Neg`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Evident=Nfh\|Mood=Qot\|POS=AUX\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Aspect=Imp\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|POS=PRON\|PronType=Ind`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|Typo=Yes`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=ADP\|Typo=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Evident=Fh\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind,Neg`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind,Neg`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Typo=Yes`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|POS=DET\|PronType=Rel`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|Typo=Yes`, `Case=Nom\|POS=DET\|PronType=Ind,Neg`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind,Neg`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Pos\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Acc\|POS=DET\|PronType=Int`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `POS=VERB\|Polarity=Neg\|Reflex=Yes\|VerbForm=Inf`, `Aspect=Imp\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Ptan\|POS=PROPN`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind,Neg`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Inf\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|PronType=Dem`, `Aspect=Imp\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|POS=DET\|PronType=Rel`, `POS=VERB\|Polarity=Pos\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|VerbForm=Conv`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADV`, `Aspect=Imp\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Aspect=Imp\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Ind\|POS=VERB\|Polarity=Pos\|VerbForm=Conv\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Coll\|POS=NOUN\|PronType=Int`, `POS=VERB\|Polarity=Pos\|Typo=Yes\|VerbForm=Inf`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Mood=Nec\|POS=AUX\|Polarity=Pos\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Ptan\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Int`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Loc\|Gender=Fem\|Number=Coll\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind,Neg`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem\|Typo=Yes`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `POS=AUX\|Polarity=Pos\|VerbForm=Inf\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|Typo=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `POS=PUNCT\|Typo=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|VerbForm=Conv`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|POS=PRON\|PronType=Rel`, `Mood=Imp\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `POS=SCONJ\|Typo=Yes`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind,Neg`, `Aspect=Imp\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Gender=Fem\|Number=Ptan\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Degree=Pos\|POS=ADV\|Typo=Yes`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Typo=Yes`, `Abbr=Yes\|POS=SYM\|Typo=Yes`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=X`, `POS=ADV\|PronType=Neg\|Typo=Yes`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `POS=AUX\|Polarity=Pos\|VerbForm=Conv`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv\|Voice=Act`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Mood=Nec\|POS=VERB\|Polarity=Pos\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Aspect=Imp\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Nec\|POS=VERB\|Polarity=Pos\|VerbForm=Fin\|Voice=Pass`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|Polarity=Pos\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Aspect=Imp\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind,Neg`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|PronType=Ind,Neg`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Conv\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Pos\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|PronType=Dem`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Evident=Nfh\|Mood=Qot\|POS=VERB\|Polarity=Pos\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Ptan\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Degree=Cmp\|POS=ADV\|Typo=Yes`, `POS=NOUN\|Typo=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem\|Typo=Yes`, `Case=Acc\|Gender=Masc\|Number=Ptan\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Ptan\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem\|Typo=Yes`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Typo=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN\|Typo=Yes`, `POS=AUX\|Polarity=Neg\|VerbForm=Inf`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Dat\|Gender=Masc\|Number=Coll\|POS=NOUN`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Mood=Cnd\|POS=VERB\|Polarity=Pos\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Ptan\|POS=NOUN\|Typo=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Mood=Nec\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Nom\|Gender=Fem\|NumType=Frac\|Number=Sing\|POS=NUM`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|NumType=Frac\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|Typo=Yes`, `Case=Acc\|Gender=Fem\|Number=Ptan\|POS=PROPN`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Aspect=Imp\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Conv\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Voice=Act`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Typo=Yes`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem,Neg`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|POS=DET\|PronType=Ind,Neg`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Conv\|Voice=Act`, `Aspect=Imp\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=ADV\|PronType=Int\|Typo=Yes`, `Case=Dat\|POS=PRON\|PronType=Ind,Neg`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Evident=Fh\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|Typo=Yes`, `Evident=Fh\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Typo=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind,Neg`, `Case=Nom\|Gender=Fem\|Number=Coll\|POS=NOUN`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Typo=Yes`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Evident=Fh\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|POS=VERB\|Polarity=Pos\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|POS=VERB`, `Aspect=Imp\|Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `NumType=Ord\|POS=ADJ\|Typo=Yes`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|PronType=Neg`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind,Neg`, `Aspect=Perf\|Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `dislocated`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0`, `2`, `4`, `6`, `8`, `10`, `11`, `13`, `15`, `18`, `20`, `22`, `26`, `28`, `31`, `34`, `37`, `39`, `41`, `43`, `45`, `47`, `49`, `52`, `54`, `56`, `58`, `60`, `61`, `64`, `66`, `67`, `69`, `71`, `73`, `74`, `76`, `78`, `80`, `83`, `85`, `86`, `87`, `89`, `91`, `93`, `95`, `97`, `98`, `101`, `104`, `107`, `109`, `110`, `112`, `113`, `116`, `119`, `122`, `124`, `126`, `128`, `131`, `134`, `138`, `140`, `142`, `145`, `147`, `149`, `152`, `153`, `155`, `157`, `160`, `163`, `164`, `166`, `168`, `172`, `175`, `177`, `179`, `181`, `183`, `184`, `187`, `190`, `193`, `195`, `196`, `198`, `200`, `201`, `203`, `205`, `208`, `209`, `210`, `212`, `214`, `218`, `220`, `222`, `224`, `227`, `230`, `233`, `235`, `237`, `239`, `243`, `245`, `246`, `248`, `250`, `251`, `253`, `255`, `256`, `259`, `260`, `262`, `265`, `269`, `272`, `274`, `275`, `276`, `278`, `281`, `283`, `287`, `291`, `293`, `295`, `298`, `300`, `303`, `305`, `306`, `308`, `311`, `313`, `314`, `316`, `319`, `322`, `324`, `326`, `328`, `329`, `332`, `333`, `335`, `337`, `339`, `341`, `343`, `345`, `348`, `349`, `350`, `352`, `354`, `355`, `358`, `359`, `361`, `362`, `365`, `368`, `370`, `372`, `374`, `376`, `377`, `379`, `381`, `382`, `384`, `387`, `389`, `390`, `392`, `396`, `398`, `400`, `401`, `405`, `408`, `409`, `410`, `412`, `415`, `417`, `419`, `420`, `422`, `425`, `426`, `428`, `430`, `432`, `434`, `436`, `438`, `439`, `440`, `443`, `445`, `447`, `448`, `450`, `452`, `454`, `455`, `458`, `461`, `462`, `464`, `466`, `468`, `469`, `471`, `473`, `474`, `476`, `477`, `480`, `483`, `484`, `485`, `487`, `488`, `491`, `494`, `495`, `497`, `498`, `499`, `500`, `501`, `502`, `504`, `506`, `508`, `510`, `511`, `512`, `513`, `515`, `517`, `518`, `519`, `520`, `524`, `525`, `527`, `529`, `532`, `535`, `536`, `537`, `539`, `540`, `541`, `543`, `546`, `548`, `549`, `550`, `551`, `553`, `555`, `556`, `560`, `562`, `564`, `566`, `567`, `569`, `571`, `572`, `575`, `577`, `579`, `582`, `584`, `585`, `586`, `587`, `588`, `593`, `595`, `596`, `599`, `601`, `603`, `605`, `607`, `610`, `613`, `616`, `619`, `622`, `624`, `625`, `627`, `629`, `631`, `633`, `636`, `638`, `640`, `642`, `644`, `645`, `646`, `650`, `651`, `653`, `655`, `657`, `660`, `662`, `665`, `667`, `668`, `670`, `673`, `676`, `678`, `680`, `681`, `682`, `684`, `687`, `688`, `690`, `691`, `692`, `693`, `694`, `697`, `699`, `700`, `701`, `702`, `705`, `706`, `708`, `709`, `712`, `714`, `715`, `718`, `721`, `723`, `725`, `726`, `728`, `729`, `731`, `732`, `733`, `735`, `736`, `737`, `738`, `739`, `741`, `743`, `745`, `746`, `748`, `749`, `750`, `751`, `753`, `754`, `755`, `756`, `758`, `759`, `760`, `761`, `762`, `764`, `766`, `767`, `768`, `771`, `773`, `774`, `775`, `776`, `777`, `778`, `779`, `781`, `783`, `785`, `786`, `787`, `790`, `791`, `792`, `793`, `795`, `796`, `798`, `799`, `800`, `801`, `804`, `805`, `806`, `807`, `808`, `809`, `810`, `811`, `812`, `813`, `814`, `816`, `823`, `825`, `826`, `828`, `830`, `831`, `832`, `835`, `838`, `839`, `840`, `842`, `843`, `844`, `846`, `847`, `849`, `851`, `853`, `855`, `856`, `858`, `859`, `861`, `862`, `864`, `865`, `866`, `869`, `870`, `871`, `873`, `876`, `878`, `879`, `880`, `881`, `882`, `883`, `886`, `888`, `889`, `891`, `894`, `897`, `898`, `899`, `900`, `901`, `904`, `907`, `908`, `909`, `912`, `914`, `916`, `917`, `919`, `921`, `922`, `923`, `925`, `928`, `930`, `932`, `933`, `936`, `937`, `938`, `940`, `942`, `943`, `944`, `946`, `947`, `949`, `951`, `953`, `955`, `956`, `957`, `961`, `963`, `966`, `967`, `968`, `969`, `972`, `974`, `976`, `977`, `979`, `981`, `982`, `983`, `986`, `988`, `989`, `990`, `991`, `995`, `998`, `999`, `1002`, `1004`, `1007`, `1008`, `1009`, `1012`, `1015`, `1016`, `1018`, `1019`, `1021`, `1024`, `1027`, `1028`, `1031`, `1034`, `1035`, `1037`, `1039`, `1041`, `1043`, `1044`, `1046`, `1049`, `1051`, `1053`, `1054`, `1056`, `1058`, `1060`, `1061`, `1062`, `1064`, `1065`, `1067`, `1069`, `1070`, `1071`, `1073`, `1074`, `1075`, `1076`, `1078`, `1079`, `1082`, `1083`, `1085`, `1088`, `1089`, `1092`, `1095`, `1097`, `1099`, `1100`, `1102`, `1104`, `1105`, `1108`, `1110`, `1114`, `1116`, `1117`, `1119`, `1121`, `1123`, `1127`, `1128`, `1129`, `1130`, `1131`, `1133`, `1135`, `1137`, `1139`, `1140`, `1142`, `1143`, `1145`, `1147`, `1149`, `1150`, `1153`, `1158`, `1160`, `1162`, `1167`, `1168`, `1169`, `1171`, `1172`, `1174`, `1176`, `1178`, `1180`, `1181`, `1182`, `1183`, `1185`, `1188`, `1191`, `1193`, `1195`, `1196`, `1197`, `1200`, `1201`, `1204`, `1205`, `1206`, `1208`, `1209`, `1211`, `1213`, `1216`, `1218`, `1220`, `1221`, `1222`, `1223`, `1225`, `1226`, `1227`, `1229`, `1230`, `1232`, `1233`, `1235`, `1236`, `1237`, `1238`, `1240`, `1241`, `1242`, `1243`, `1245`, `1247`, `1248`, `1250`, `1251`, `1252`, `1253`, `1255`, `1256`, `1257`, `1258`, `1259`, `1260`, `1261`, `1262`, `1263`, `1264`, `1267`, `1269`, `1270`, `1272`, `1274`, `523`, `1276`, `1279`, `1280`, `1281`, `1282`, `1284`, `1285`, `1287`, `1289`, `1292`, `1293`, `1294`, `1297`, `1298`, `1300`, `1301`, `1305`, `1307`, `1309`, `1310`, `1313`, `1314`, `1317`, `1318`, `1319`, `1321`, `1323`, `1324`, `1325`, `1326`, `1327`, `1329`, `1330`, `1333`, `1335`, `1337`, `1338`, `1340`, `1342`, `1344`, `1346`, `1347`, `1350`, `1351`, `1353`, `1356`, `1357`, `1358`, `1360`, `1362`, `1364`, `1367`, `1368`, `1369`, `1370`, `1371`, `1373`, `1375`, `1377`, `1378`, `1381`, `1383`, `1384`, `1386`, `1388`, `1390`, `1391`, `1392`, `1393`, `1395`, `1396`, `1398`, `1399`, `1401`, `1402`, `1403`, `1405`, `1406`, `1407`, `1408`, `1410`, `1411`, `1412`, `1413`, `1416`, `1418`, `1419`, `1422`, `1423`, `1425`, `1427`, `1428`, `1431`, `1432`, `1433`, `1434`, `1437`, `1438`, `1439`, `1441`, `1442`, `1443`, `1444`, `1445`, `1446`, `1448`, `1450`, `1452`, `1454`, `1455`, `1456`, `1457`, `1458`, `1460`, `1462`, `1466`, `1467`, `1469`, `1470`, `1474`, `1476`, `1477`, `1479`, `1481`, `1482`, `1483`, `1484`, `1485`, `1487`, `1489`, `1492`, `1493`, `1495`, `1496`, `1498`, `1499`, `1501`, `1502`, `1503`, `1506`, `1507`, `1508`, `1509`, `1511`, `1513`, `1514`, `1517`, `1518`, `1520`, `1523`, `1525`, `1527`, `1528`, `1530`, `1532`, `1534`, `1535`, `1536`, `1537`, `1539`, `1540`, `1542`, `1543`, `1545`, `1546`, `1547`, `1549`, `1551`, `1552`, `1553`, `1554`, `1557`, `1558`, `1560`, `1562`, `1564`, `1567`, `1569`, `1571`, `1572`, `1573`, `1574`, `1576`, `1577`, `1579`, `1581`, `1583`, `1584`, `1531`, `1585`, `1587`, `1588`, `1589`, `1591`, `1592`, `1595`, `1596`, `1598`, `1600`, `1601`, `1604`, `1605`, `1607`, `1608`, `1610`, `1612`, `1613`, `1616`, `1618`, `1619`, `1621`, `1623`, `1625`, `1626`, `1629`, `1630`, `1631`, `1633`, `1637`, `1639`, `1640`, `1642`, `1643`, `1645`, `1647`, `1648`, `1651`, `1652`, `1654`, `1655`, `1656`, `1657`, `1659`, `1661`, `1664`, `1665`, `1668`, `1670`, `1672`, `1673`, `1674`, `1675`, `1678`, `1679`, `1681`, `1682`, `1685`, `1688`, `1690`, `1692`, `1694`, `1695`, `1697`, `1699`, `1701`, `1705`, `1708`, `1709`, `1710`, `1711`, `1714`, `1715`, `1718`, `1721`, `1723`, `1725`, `1727`, `1729`, `1731`, `1734`, `1736`, `1739`, `1741`, `1743`, `1745`, `1746`, `1748`, `1749`, `1752`, `1754`, `1756`, `1757`, `1758`, `1759`, `1760`, `1761`, `1766`, `1768`, `1769`, `1770`, `1771`, `1773`, `1775`, `1776`, `1777`, `1779`, `1781`, `1784`, `1785`, `1786`, `1788`, `1789`, `1790`, `1792`, `1794`, `1796`, `1798`, `1800`, `1802`, `1805`, `1807`, `1809`, `1810`, `1811`, `1813`, `1815`, `1816`, `1817`, `1818`, `1821`, `1823`, `1824`, `1825`, `1826`, `1828`, `1830`, `1832`, `1833`, `1834`, `1835`, `1837`, `1840`, `1842`, `1846`, `1848`, `1852`, `1853`, `1854`, `1856`, `1857`, `1858`, `1859`, `1860`, `1862`, `1863`, `1866`, `1868`, `1869`, `1871`, `1873`, `1304`, `1874`, `1875`, `1876`, `1878`, `1879`, `1880`, `1881`, `1883`, `1885`, `1886`, `1887`, `1890`, `1892`, `1893`, `1894`, `1897`, `1898`, `1900`, `1488`, `1903`, `1904`, `1905`, `1906`, `1907`, `1908`, `1910`, `1912`, `1913`, `1914`, `1915`, `1916`, `1918`, `1919`, `1920`, `1922`, `1925`, `1927`, `1929`, `1931`, `1933`, `1934`, `1936`, `1938`, `1939`, `1940`, `1943`, `1944`, `1945`, `1946`, `1947`, `1948`, `1950`, `1951`, `1953`, `1955`, `1956`, `1957`, `1960`, `1962`, `1963`, `1964`, `1965`, `1966`, `1969`, `1971`, `1973`, `1975`, `1976`, `1979`, `1980`, `1981`, `1982`, `1985`, `1986`, `1987`, `1988`, `1989`, `1991`, `1992`, `1993`, `1994`, `1995`, `1996`, `1999`, `2002`, `2003`, `2004`, `2006`, `2007`, `2008`, `2010`, `2011`, `2013`, `2015`, `2016`, `2017`, `2018`, `2020`, `2021`, `2023`, `2024`, `2028`, `2030`, `2031`, `2032`, `2033`, `2034`, `2037`, `2038`, `2040`, `2041`, `2043`, `2044`, `2047`, `2048`, `2049`, `2050`, `2051`, `2052`, `2053`, `2056`, `2058`, `2060`, `2062`, `2063`, `2065`, `2066`, `2067`, `2068`, `2069`, `2070`, `2071`, `2072`, `2075`, `2076`, `1806`, `2079`, `2081`, `2083`, `2086`, `2089`, `2090`, `2091`, `2092`, `2093`, `2095`, `2096`, `2097`, `2098`, `2099`, `2102`, `2103`, `2106`, `2107`, 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`4749`, `4750`, `70`, `84`, `4751`, `4752`, `4753`, `4754`, `4756`, `4758`, `4760`, `4761`, `4762`, `4764`, `4766`, `4769`, `4771`, `4772`, `4774`, `4775`, `4776`, `4778`, `4779`, `4781`, `4782` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.80 |
| `TOKEN_P` | 99.79 |
| `TOKEN_R` | 99.81 |
| `TOKEN_ACC` | 99.97 |
| `SENTS_F` | 97.77 |
| `SENTS_P` | 98.24 |
| `SENTS_R` | 97.30 |
| `TAG_ACC` | 91.59 |
| `POS_ACC` | 97.94 |
| `MORPH_ACC` | 95.69 |
| `DEP_UAS` | 91.30 |
| `DEP_LAS` | 87.75 |
| `LEMMA_ACC` | 95.39 |
|
{"language": ["lv"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/lv_udv25_latvianlvtb_trf
| null |
[
"spacy",
"token-classification",
"lv",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Norwegian-Bokmaal
| Feature | Description |
| --- | --- |
| **Name** | `nb_udv25_norwegianbokmaal_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1240 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=PROPN`, `POS=X`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `POS=ADV`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `POS=VERB\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|POS=PROPN`, `POS=NOUN`, `Gender=Masc\|POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=PROPN`, `POS=PART\|Polarity=Neg`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Int`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Abbr=Yes\|Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Cmp\|POS=ADJ`, `POS=ADJ\|VerbForm=Part`, `Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=ADP`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Number=Plur\|POS=DET\|PronType=Ind`, `Degree=Pos\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Hum\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=DET\|Polarity=Neg\|PronType=Neg`, `NumType=Card\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=DET\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbForm=Inf`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Prs`, `POS=SYM`, `Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADV`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Def\|POS=DET\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Neut\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Def\|NumType=Card\|POS=NUM`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Number=Plur\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Definite=Def\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Hum\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `POS=INTJ`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADJ`, `Animacy=Hum\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=PRON\|Polarity=Neg\|PronType=Neg`, `Case=Gen\|POS=NOUN`, `Definite=Ind\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|POS=PROPN`, `Animacy=Hum\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Sup\|POS=ADJ`, `Animacy=Hum\|POS=PRON\|PronType=Int`, `POS=DET\|PronType=Ind`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Number=Plur\|POS=NOUN`, `POS=PRON\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem,Ind`, `Animacy=Hum\|POS=PRON\|Poss=Yes\|PronType=Int`, `Abbr=Yes\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Rcp`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Art`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Neut\|Number=Plur,Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Tot`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Masc\|Number=Plur,Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Animacy=Hum\|Case=Gen,Nom\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Gen\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Definite=Def\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Abbr=Yes\|Gender=Masc\|POS=NOUN`, `Abbr=Yes\|Case=Gen\|POS=NOUN`, `Abbr=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|Degree=Pos\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=NOUN`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=NOUN` |
| **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `expl`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `reparandum`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `12`, `14`, `16`, `18`, `20`, `22`, `24`, `26`, `28`, `32`, `34`, `36`, `38`, `40`, `42`, `44`, `47`, `49`, `51`, `52`, `54`, `56`, `58`, `59`, `60`, `62`, `64`, `65`, `67`, `69`, `70`, `71`, `73`, `75`, `78`, `81`, `83`, `87`, `89`, `93`, `96`, `98`, `99`, `100`, `102`, `104`, `106`, `110`, `112`, `115`, `116`, `118`, `120`, `122`, `124`, `128`, `131`, `133`, `135`, `137`, `140`, `142`, `143`, `144`, `145`, `147`, `149`, `151`, `153`, `154`, `156`, `158`, `159`, `162`, `165`, `166`, `168`, `169`, `171`, `173`, `175`, `177`, `179`, `180`, `182`, `184`, `185`, `186`, `187`, `189`, `190`, `192`, `193`, `194`, `195`, `198`, `199`, `201`, `203`, `204`, `207`, `209`, `211`, `214`, `217`, `218`, `219`, `220`, `223`, `225`, `227`, `228`, `229`, `231`, `232`, `233`, `235`, `236`, `239`, `240`, `243`, `246`, `248`, `249`, `250`, `251`, `254`, `257`, `259`, `261`, `263`, `266`, `267`, `270`, `272`, `274`, `275`, `276`, `279`, `282`, `283`, `284`, `285`, `286`, `289`, `290`, `291`, `292`, `294`, `298`, `302`, `304`, `305`, `306`, `309`, `310`, `311`, `314`, `315`, `316`, `317`, `319`, `320`, `322`, `46`, `324`, `326`, `327`, `329`, `330`, `331`, `332`, `334`, `335`, `336`, `337`, `339`, `340`, `341`, `343`, `344`, `346`, `348`, `349`, `352`, `353`, `354`, `356`, `357`, `358`, `359`, `361`, `363`, `364`, `365`, `367`, `369`, `372`, `374`, `375`, `376`, `377`, `378`, `380`, `381`, `384`, `385`, `387`, `389`, `391`, `394`, `396`, `397`, `400`, `403`, `405`, `406`, `408`, `409`, `410`, `411`, `413`, `415`, `416`, `418`, `420`, `422`, `423`, `424`, `426`, `428`, `429`, `431`, `432`, `433`, `434`, `435`, `437`, `438`, `440`, `442`, `445`, `446`, `448`, `449`, `450`, `451`, `452`, `453`, `456`, `458`, `459`, `460`, `461`, `462`, `465`, `466`, `468`, `469`, `471`, `474`, `475`, `476`, `477`, `479`, `480`, `482`, `485`, `486`, `488`, `489`, `491`, `492`, `493`, `494`, `495`, `497`, `498`, `499`, `500`, `502`, `503`, `504`, `505`, `506`, `507`, `509`, `510`, `511`, `513`, `517`, `518`, `519`, `521`, `522`, `525`, `526`, `528`, `529`, `533`, `537`, `539`, `541`, `543`, `545`, `546`, `547`, `549`, `550`, `552`, `553`, `554`, `555`, `557`, `558`, `559`, `560`, `561`, `562`, `563`, `564`, `566`, `568`, `570`, `574`, `575`, `576`, `577`, `579`, `581`, `582`, `583`, `585`, `586`, `587`, `589`, `590`, `591`, `593`, `595`, `597`, `599`, `602`, `603`, `604`, `605`, `607`, `608`, `610`, `611`, `612`, `614`, `616`, `617`, `619`, `620`, `621`, `624`, `626`, `628`, `630`, `632`, `635`, `636`, `639`, `640`, `642`, `645`, `647`, `650`, `651`, `652`, `655`, `657`, `658`, `659`, `661`, `662`, `663`, `664`, `665`, `666`, `667`, `668`, `669`, `670`, `672`, `673`, `676`, `677`, `678`, `681`, `682`, `683`, `684`, `686`, `687`, `688`, `690`, `692`, `693`, `694`, `695`, `697`, `698`, `699`, `700`, `701`, `702`, `704`, `705`, `707`, `709`, `710`, `711`, `712`, `713`, `714`, `715`, `716`, `717`, `719`, `721`, `723`, `726`, `728`, `729`, `730`, `731`, `732`, `733`, `734`, `736`, `737`, `738`, `739`, `741`, `742`, `743`, `745`, `746`, `747`, `748`, `749`, `750`, `751`, `753`, `754`, `757`, `759`, `760`, `761`, `762`, `763`, `765`, `767`, `768`, `770`, `771`, `772`, `773`, `775`, `777`, `778`, `779`, `780`, `781`, `783`, `784`, `785`, `786`, `787`, `788`, `789`, `790`, `791`, `792`, `795`, `798`, `799`, `801`, `802`, `803`, `805`, `806`, `809`, `811`, `812`, `814`, `815`, `816`, `817`, `818`, `820`, `822`, `823`, `824`, `825`, `826`, `827`, `828`, `829`, `830`, `832`, `833`, `836`, `838`, `839`, `840`, `841`, `843`, `844`, `845`, `846`, `847`, `848`, `850`, `851`, `852`, `853`, `854`, `855`, `857`, `858`, `859`, `860`, `862`, `864`, `865`, `868`, `869`, `870`, `871`, `872`, `873`, `874`, `876`, `877`, `878`, `881`, `883`, `884`, `885`, `886`, `887`, `888`, `889`, `890`, `892`, `893`, `894`, `896`, `897`, `898`, `899`, `901`, `902`, `905`, `908`, `911`, `912`, `913`, `915`, `916`, `917`, `918`, `919`, `920`, `921`, `925`, `927`, `928`, `929`, `930`, `932`, `936`, `937`, `938`, `940`, `941`, `943`, `944`, `947`, `948`, `950`, `952`, `953`, `955`, `957`, `959`, `962`, `964`, `966`, `967`, `968`, `969`, `971`, `972`, `973`, `974`, `977`, `978`, `117`, `41`, `979`, `980`, `981`, `982`, `983`, `985`, `988`, `989`, `990`, `992`, `994`, `995`, `996`, `998`, `999`, `1000`, `1001`, `1002`, `1003`, `1004`, `1007`, `1009`, `1010`, `1011`, `1012`, `1013`, `1014`, `1015`, `1016`, `1017`, `1018`, `1019`, `1020`, `1021`, `1022`, `1023`, `1024`, `1025`, `1026`, `1029`, `1031`, `1035`, `1037`, `1039`, `1040`, `1041`, `1043`, `1044`, `1045`, `1048`, `1049`, `1050`, `1051`, `1053`, `1056`, `1058`, `1059`, `1060`, `1061`, `1064`, `1066`, `1068`, `1070`, `1071`, `1072`, `1075`, `1078`, `1079`, `1080`, `1081`, `1084`, `1085`, `1088`, `1090`, `1093`, `1095`, `1099`, `1102`, `1103`, `1105`, `1106`, `1107`, `1109`, `1110`, `1111`, `1113`, `1115`, `1116`, `1121`, `1123`, `1124`, `1126`, `1128`, `1129`, `1130`, `1131`, `1133`, `1134`, `1136`, `1137`, `1138`, `1139`, `1141`, `1143`, `1144`, `1145`, `1147`, `1148`, `1149`, `1150`, `1151`, `1153`, `1154`, `1156`, `1157`, `1158`, `1162`, `1163`, `1165`, `1166`, `1167`, `1168`, `1169`, `1170`, `1171`, `1172`, `1173`, `1174`, `1175`, `1176`, `1030`, `1179`, `1180`, `1182`, `1184`, `1185`, `1186`, `1187`, `1188`, `1189`, `1190`, `1191`, `1192`, `1193`, `1195`, `1198`, `1199`, `1201`, `1202`, `1204`, `1205`, `1206`, `1207`, `1211`, `1213`, `1214`, `1216`, `1219`, `1220`, `1221`, `1222`, `1223`, `1224`, `1225`, `1226`, `1228`, `1230`, `1232`, `1234`, `1235`, `1238`, `1239`, `1240`, `1241`, `1242`, `1244`, `1247`, `1248`, `1249`, `1250`, `1251`, `1253`, `1254`, `1255`, `1256`, `1257`, `1258`, `1259`, `1262`, `1263`, `1265`, `1267`, `515`, `1268`, `1269`, `1271`, `1273`, `1274`, `1275`, `1276`, `1277`, `1279`, `1280`, `1282`, `1283`, `1284`, `1285`, `1287`, `1289`, `1291`, `1292`, `1294`, `1297`, `1298`, `1299`, `1302`, `1303`, `1305`, `1307`, `1308`, `1309`, `1311`, `1312`, `1313`, `1314`, `1315`, `1316`, `1317`, `1318`, `1320`, `1321`, `1322`, `1324`, `1325`, `1326`, `1329`, `1331`, `1334`, `1336`, `1337`, `1340`, `1341`, `1342`, `1343`, `1346`, `1348`, `1349`, `1350`, `1352`, `1353`, `1355`, `1357`, `1358`, `1359`, `1361`, `965`, `1362`, `1363`, `1364`, `1366`, `1369`, `1370`, `1371`, `1372`, `1373`, `1375`, `1376`, `1377`, `1379`, `1381`, `1382`, `1383`, `1385`, `1387`, `1388`, `1390`, `1392`, `1393`, `1394`, `1395`, `1396`, `1397`, `1398`, `1399`, `1400`, `1402`, `1403`, `1405`, `1406`, `1407`, `1409`, `1411`, `1412`, `1413`, `1414`, `1418`, `1419`, `1420`, `1421`, `1423`, `1424`, `1425`, `1427`, `1428`, `1429`, `1430`, `1432`, `1433`, `1435`, `1437`, `1438`, `1441`, `1442`, `1444`, `1446`, `1447`, `1449`, `1453`, `1455`, `1457`, `1458`, `1460`, `1462`, `1463`, `1464`, `1466`, `1469`, `1470`, `1471`, `1473`, `1475`, `1476`, `1477`, `1478`, `1479`, `1482`, `1483`, `1484`, `1486`, `1487`, `1489`, `1491`, `1493`, `1494`, `1495`, `1496`, `1497`, `1498`, `1499`, `1500`, `1501`, `1502`, `1503`, `1504`, `1506`, `1507`, `1508`, `1510`, `1511`, `1512`, `1513`, `1516`, `1517`, `1518`, `1519`, `1520`, `1521`, `1522`, `1523`, `849` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 98.80 |
| `SENTS_P` | 98.84 |
| `SENTS_R` | 98.75 |
| `TAG_ACC` | 99.16 |
| `POS_ACC` | 99.13 |
| `MORPH_ACC` | 98.42 |
| `DEP_UAS` | 95.63 |
| `DEP_LAS` | 93.91 |
| `LEMMA_ACC` | 98.82 |
|
{"language": ["nb"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/nb_udv25_norwegianbokmaal_trf
| null |
[
"spacy",
"token-classification",
"nb",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Norwegian-Nynorsk
| Feature | Description |
| --- | --- |
| **Name** | `nb_udv25_norwegiannynorsk_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1400 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `Number=Plur\|POS=DET\|PronType=Ind`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADP`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Gender=Masc\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=NOUN`, `POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=ADV`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `POS=PRON\|PronType=Rel`, `POS=VERB\|VerbForm=Part`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADV`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADJ`, `POS=ADJ\|VerbForm=Part`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=DET\|PronType=Int`, `POS=AUX\|VerbForm=Inf`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=ADJ`, `POS=PART\|Polarity=Neg`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `POS=INTJ`, `Animacy=Hum\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Tot`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Def\|POS=DET\|PronType=Dem`, `POS=X`, `Case=Gen\|Gender=Masc\|POS=NOUN`, `POS=AUX\|VerbForm=Part`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Hum\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `POS=DET\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `POS=SYM`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Abbr=Yes\|POS=PRON\|PronType=Prs`, `Abbr=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=ADJ`, `Gender=Neut\|POS=NOUN`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|POS=NOUN`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Definite=Def\|NumType=Card\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|POS=PRON\|PronType=Int`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Plur\|POS=DET\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Abbr=Yes\|POS=CCONJ`, `Number=Plur\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Abbr=Yes\|Case=Gen\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Def\|POS=ADV`, `Number=Sing\|POS=PRON\|Polarity=Neg\|PronType=Neg`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Neut\|Number=Plur,Sing\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADP`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Art,Prs`, `Definite=Def\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Gender=Masc\|POS=NOUN`, `Case=Gen\|POS=NOUN`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `POS=PRON\|PronType=Prs`, `POS=ADV\|VerbForm=Inf`, `Degree=Sup\|POS=ADJ`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|POS=ADJ`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|POS=PRON\|Person=3\|PronType=Prs`, `Abbr=Yes\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Gender=Neut\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|POS=NOUN`, `Case=Gen\|Gender=Neut\|POS=NOUN`, `Definite=Def\|POS=ADJ\|VerbForm=Part`, `POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Number=Plur\|POS=ADJ\|VerbForm=Part`, `NumType=Card\|POS=NUM\|PronType=Dem`, `Definite=Ind\|Number=Sing\|POS=VERB\|VerbForm=Part` |
| **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `expl`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `reparandum`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `2`, `4`, `5`, `7`, `9`, `11`, `13`, `17`, `19`, `21`, `23`, `25`, `29`, `31`, `35`, `38`, `40`, `42`, `44`, `45`, `47`, `49`, `51`, `53`, `55`, `56`, `58`, `62`, `65`, `67`, `70`, `72`, `75`, `77`, `79`, `80`, `82`, `84`, `86`, `88`, `90`, `92`, `95`, `98`, `100`, `102`, `104`, `106`, `107`, `108`, `110`, `112`, `114`, `119`, `121`, `123`, `126`, `128`, `130`, `132`, `134`, `136`, `138`, `141`, `143`, `145`, `146`, `148`, `150`, `152`, `154`, `156`, `158`, `160`, `162`, `164`, `165`, `167`, `170`, `171`, `172`, `174`, `175`, `177`, `178`, `180`, `182`, `185`, `186`, `189`, `191`, `193`, `196`, `198`, `202`, `203`, `207`, `209`, `212`, `214`, `217`, `220`, `222`, `224`, `225`, `227`, `228`, `231`, `233`, `235`, `238`, `239`, `241`, `245`, `247`, `248`, `250`, `253`, `255`, `256`, `259`, `262`, `263`, `265`, `266`, `268`, `270`, `271`, `274`, `275`, `277`, `279`, `280`, `282`, `285`, `288`, `290`, `292`, `294`, `296`, `298`, `299`, `302`, `306`, `309`, `310`, `313`, `316`, `318`, `320`, `321`, `322`, `323`, `324`, `327`, `329`, `330`, `332`, `334`, `335`, `337`, `340`, `341`, `342`, `343`, `345`, `346`, `347`, `349`, `350`, `352`, `354`, `355`, `356`, `357`, `358`, `360`, `362`, `363`, `365`, `366`, `368`, `370`, `371`, `373`, `375`, `378`, `379`, `380`, `383`, `384`, `385`, `386`, `388`, `389`, `392`, `393`, `394`, `395`, `397`, `398`, `399`, `400`, `401`, `403`, `405`, `407`, `408`, `410`, `412`, `413`, `415`, `417`, `419`, `420`, `423`, `424`, `425`, `426`, `427`, `429`, `431`, `432`, `433`, `435`, `438`, `440`, `442`, `444`, `446`, `447`, `448`, `449`, `451`, `452`, `454`, `456`, `458`, `459`, `462`, `465`, `466`, `468`, `469`, `470`, `471`, `473`, `475`, `476`, `478`, `479`, `481`, `482`, `484`, `485`, `488`, `489`, `490`, `492`, `495`, `497`, `501`, `503`, `505`, `507`, `508`, `510`, `512`, `513`, `515`, `517`, `518`, `520`, `521`, `523`, `524`, `526`, `527`, `529`, `530`, `531`, `534`, `536`, `537`, `538`, `539`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.96 |
| `TOKEN_P` | 99.96 |
| `TOKEN_R` | 99.96 |
| `TOKEN_ACC` | 99.99 |
| `SENTS_F` | 99.10 |
| `SENTS_P` | 99.15 |
| `SENTS_R` | 99.05 |
| `TAG_ACC` | 98.33 |
| `POS_ACC` | 98.34 |
| `MORPH_ACC` | 97.91 |
| `DEP_UAS` | 94.11 |
| `DEP_LAS` | 92.14 |
| `LEMMA_ACC` | 98.28 |
|
{"language": ["nb"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/nb_udv25_norwegiannynorsk_trf
| null |
[
"spacy",
"token-classification",
"nb",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Dutch-Alpino
| Feature | Description |
| --- | --- |
| **Name** | `nl_udv25_dutchalpino_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1712 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|comp\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|met-s`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|postnom\|comp\|met-s`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|dim\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|dat\|evmo`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|meta`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|mv-n\|dim`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|mv-n`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|dat\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|dat\|prenom\|met-e\|evmo`, `VNW\|aanw\|det\|gen\|prenom\|met-e\|rest3`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|det\|stan\|vrij\|zonder`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|gen\|vol\|3\|ev\|prenom\|met-e\|rest3`, `VNW\|bez\|det\|stan\|nadr\|2v\|mv\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|onbep\|adv-pron\|gen\|red\|3\|getal`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|sup`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|comp`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|gen\|vol\|3p\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|gen\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|2\|getal`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|2v\|ev`, `VNW\|pers\|pron\|nomin\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|2v\|ev`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|nadr\|2v\|mv`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|nadr\|1\|ev`, `VNW\|pr\|pron\|obl\|nadr\|2v\|getal`, `VNW\|pr\|pron\|obl\|nadr\|2\|getal`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|pr\|pron\|obl\|vol\|2\|getal`, `VNW\|recip\|pron\|gen\|vol\|persoon\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|vb\|det\|stan\|prenom\|met-e\|rest`, `VNW\|vb\|det\|stan\|prenom\|zonder\|evon`, `VNW\|vb\|pron\|gen\|vol\|3m\|ev`, `VNW\|vb\|pron\|gen\|vol\|3p\|mv`, `VNW\|vb\|pron\|gen\|vol\|3v\|ev`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|prenom\|met-e`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
| **`morphologizer`** | `POS=PRON\|Person=3\|PronType=Dem`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `POS=VERB\|VerbForm=Part`, `POS=PUNCT`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `POS=NUM`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=SCONJ`, `Definite=Def\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=AUX\|VerbForm=Inf`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=DET`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=CCONJ`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Ind`, `Degree=Cmp\|POS=ADJ`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|POS=DET`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PROPN`, `POS=PRON\|PronType=Ind`, `POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=NOUN`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SYM`, `Abbr=Yes\|POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Degree=Sup\|POS=ADJ`, `Foreign=Yes\|POS=X`, `POS=ADJ`, `Number=Sing\|POS=PROPN`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|Person=3\|PronType=Rel`, `Number=Plur\|POS=PROPN`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=PRON\|PronType=Dem`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `POS=X`, `POS=INTJ`, `Case=Gen\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PRON\|PronType=Int`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|POS=PRON\|Person=2\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `4`, `5`, `10`, `12`, `14`, `16`, `20`, `24`, `25`, `28`, `30`, `32`, `34`, `38`, `40`, `42`, `45`, `47`, `48`, `51`, `52`, `54`, `55`, `57`, `59`, `62`, `64`, `66`, `68`, `70`, `72`, `76`, `78`, `81`, `83`, `84`, `86`, `89`, `91`, `92`, `96`, `99`, `101`, `104`, `106`, `109`, `114`, `115`, `117`, `118`, `120`, `121`, `123`, `126`, `129`, `131`, `133`, `137`, `139`, `141`, `143`, `145`, `146`, `148`, `151`, `154`, `158`, `160`, `163`, `165`, `98`, `168`, `169`, `171`, `174`, `177`, `181`, `183`, `185`, `187`, `191`, `194`, `196`, `199`, `202`, `206`, `209`, `211`, `212`, `214`, `217`, `61`, `219`, `221`, `224`, `226`, `227`, `229`, `231`, `235`, `236`, `238`, `240`, `242`, `245`, `247`, `251`, `253`, `257`, `260`, `262`, `264`, `263`, `266`, `267`, `271`, `273`, `274`, `275`, `278`, `280`, `281`, `282`, `284`, `286`, `291`, `293`, `296`, `298`, `299`, `301`, `303`, `307`, `308`, `310`, `312`, `314`, `316`, `318`, `320`, `322`, `324`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 98.65 |
| `TOKEN_P` | 98.49 |
| `TOKEN_R` | 98.82 |
| `TOKEN_ACC` | 99.87 |
| `SENTS_F` | 90.84 |
| `SENTS_P` | 92.62 |
| `SENTS_R` | 89.14 |
| `TAG_ACC` | 95.60 |
| `POS_ACC` | 97.67 |
| `MORPH_ACC` | 96.79 |
| `DEP_UAS` | 94.66 |
| `DEP_LAS` | 92.28 |
| `LEMMA_ACC` | 96.46 |
|
{"language": ["nl"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/nl_udv25_dutchalpino_trf
| null |
[
"spacy",
"token-classification",
"nl",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Dutch-LassySmall
| Feature | Description |
| --- | --- |
| **Name** | `nl_udv25_dutchlassysmall_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1070 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|mv-n`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|prenom\|basis\|met-e\|bijz`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3p\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|gen\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|nomin\|nadr\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
| **`morphologizer`** | `Definite=Def\|POS=DET`, `Degree=Pos\|POS=ADJ`, `POS=CCONJ`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `POS=DET`, `Degree=Sup\|POS=ADJ`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=SYM`, `POS=NUM`, `POS=ADP`, `Definite=Ind\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `POS=ADV`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=PROPN`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=PRON\|PronType=Rel`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Ind`, `POS=VERB\|VerbForm=Part`, `POS=ADJ`, `POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Foreign=Yes\|POS=X`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PROPN`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Rel`, `POS=AUX\|VerbForm=Inf`, `POS=SCONJ`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|POS=X`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|PronType=Dem`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PRON\|PronType=Dem`, `POS=PRON\|Person=3\|PronType=Int`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Ind`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `POS=AUX\|VerbForm=Part`, `Number=Sing\|POS=PROPN`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=INTJ`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `4`, `6`, `8`, `10`, `13`, `15`, `17`, `19`, `21`, `22`, `25`, `27`, `29`, `30`, `32`, `36`, `37`, `39`, `41`, `42`, `45`, `47`, `49`, `51`, `53`, `55`, `58`, `59`, `61`, `63`, `65`, `66`, `70`, `72`, `74`, `76`, `78`, `79`, `80`, `82`, `84`, `86`, `89`, `92`, `94`, `96`, `97`, `99`, `101`, `104`, `107`, `109`, `110`, `112`, `114`, `116`, `117`, `118`, `119`, `120`, `121`, `124`, `126`, `127`, `130`, `133`, `134`, `135`, `137`, `139`, `142`, `143`, `145`, `148`, `152`, `154`, `156`, `159`, `160`, `163`, `165`, `167`, `168`, `172`, `175`, `176`, `178`, `182`, `184`, `187`, `189`, `190`, `192`, `194`, `195`, `197`, `199`, `200`, `203`, `205`, `207`, `208`, `209`, `212`, `214`, `215`, `217`, `219`, `220`, `221`, `224`, `227`, `228`, `230`, `232`, `233`, `237`, `238`, `240`, `241`, `242`, `244`, `245`, `248`, `249`, `250`, `251`, `252`, `255`, `258`, `259`, `260`, `262`, `266`, `268`, `270`, `272`, `275`, `278`, `280`, `281`, `282`, `283`, `285`, `287`, `290`, `291`, `293`, `297`, `299`, `300`, `301`, `302`, `306`, `307`, `309`, `310`, `311`, `313`, `314`, `316`, `318`, `319`, `320`, `324`, `329`, `332`, `333`, `335`, `337`, `339`, `343`, `346`, `347`, `348`, `352`, `353`, `357`, `358`, `359`, `360`, `362`, `363`, `366`, `369`, `372`, `374`, `377`, `378`, `379`, `381`, `382`, `386`, `387`, `391`, `395`, `397`, `399`, `400`, `401`, `403`, `406`, `407`, `408`, `409`, `410`, `411`, `412`, `414`, `415`, `417`, `419`, `421`, `423`, `426`, `427`, `428`, `431`, `433`, `435`, `437`, `439`, `441`, `444`, `446`, `448`, `451`, `453`, `455`, `457`, `458`, `460`, `462`, `463`, `465`, `467`, `469`, `470`, `472`, `474`, `475`, `478`, `482`, `483`, `485`, `489`, `491`, `492`, `493`, `495`, `499`, `500`, `502`, `506`, `508`, `511`, `514`, `518`, `520`, `522`, `525`, `527`, `528`, `532`, `534`, `535`, `538`, `540`, `541`, `544`, `546`, `547`, `548`, `551`, `552`, `556`, `558`, `559`, `560`, `563`, `565`, `567`, `569`, `570`, `573`, `577`, `579`, `581`, `584`, `587`, `589`, `591`, `595`, `597`, `599`, `600`, `601`, `602`, `606`, `608`, `610`, `612`, `614`, `615`, `616`, `618`, `619`, `620`, `621`, `622`, `626`, `628`, `629`, `631`, `632`, `634`, `635`, `636`, `637`, `639`, `641`, `644`, `649`, `653`, `654`, `656`, `657`, `658`, `661`, `663`, `664`, `665`, `666`, `667`, `668`, `669`, `670`, `674`, `676`, `678`, `679`, `682`, `685`, `687`, `689`, `692`, `694`, `696`, `699`, `702`, `703`, `704`, `705`, `706`, `708`, `709`, `711`, `712`, `714`, `715`, `717`, `718`, `719`, `722`, `725`, `729`, `730`, `733`, `736`, `738`, `739`, `743`, `745`, `746`, `749`, `750`, `328`, `752`, `754`, `755`, `757`, `760`, `761`, `762`, `764`, `767`, `769`, `770`, `773`, `777`, `778`, `781`, `783`, `784`, `785`, `786`, `789`, `790`, `793`, `794`, `795`, `798`, `800`, `162`, `803`, `806`, `809`, `812`, `813`, `815`, `817`, `818`, `819`, `821`, `823`, `824`, `825`, `827`, `830`, `832`, `834`, `836`, `838`, `648`, `839`, `841`, `843`, `844`, `846`, `848`, `849`, `851`, `852`, `853`, `854`, `855`, `857`, `859`, `860`, `861`, `863`, `865`, `867`, `869`, `872`, `873`, `875`, `877`, `879`, `881`, `883`, `885`, `886`, `887`, `888`, `890`, `893`, `894`, `896`, `899`, `901`, `902`, `904`, `906`, `908`, `911`, `913`, `915`, `918`, `919`, `920`, `921`, `926`, `928`, `930`, `931`, `932`, `933`, `934`, `396`, `935`, `936`, `938`, `939`, `940`, `942`, `945`, `946`, `947`, `948`, `950`, `951`, `954`, `956`, `957`, `960`, `962`, `964`, `967`, `969`, `970`, `971`, `975`, `976`, `977`, `978`, `979`, `980`, `981`, `982`, `983`, `984`, `985`, `988`, `990`, `991`, `995`, `997`, `998`, `840`, `999`, `1000`, `1002`, `1003`, `1004`, `1006`, `1008`, `1009`, `1013`, `1017`, `862`, `1019`, `1020`, `1021`, `1024`, `1025`, `1027`, `1028`, `1029`, `1031`, `1033`, `1036`, `1039`, `1040`, `1041`, `1043`, `1044`, `1047`, `1048`, `1052`, `1055`, `1056`, `1057`, `1061`, `1062`, `1063`, `1066`, `1069`, `507`, `1071`, `1072`, `1074`, `1075`, `1076`, `1078`, 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`1483`, `1484` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.91 |
| `TOKEN_P` | 99.88 |
| `TOKEN_R` | 99.94 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 91.84 |
| `SENTS_P` | 90.52 |
| `SENTS_R` | 93.20 |
| `TAG_ACC` | 95.93 |
| `POS_ACC` | 96.37 |
| `MORPH_ACC` | 97.73 |
| `DEP_UAS` | 90.23 |
| `DEP_LAS` | 86.21 |
| `LEMMA_ACC` | 96.71 |
|
{"language": ["nl"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/nl_udv25_dutchlassysmall_trf
| null |
[
"spacy",
"token-classification",
"nl",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Polish-LFG
| Feature | Description |
| --- | --- |
| **Name** | `pl_udv25_polishlfg_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `GPL 3.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (4947 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `adj:pl:acc:f:com`, `adj:pl:acc:f:pos`, `adj:pl:acc:f:sup`, `adj:pl:acc:m1:com`, `adj:pl:acc:m1:pos`, `adj:pl:acc:m1:sup`, `adj:pl:acc:m2:pos`, `adj:pl:acc:m3:com`, `adj:pl:acc:m3:pos`, `adj:pl:acc:m3:sup`, `adj:pl:acc:n:com`, `adj:pl:acc:n:pos`, `adj:pl:acc:n:sup`, `adj:pl:dat:f:pos`, `adj:pl:dat:m1:com`, `adj:pl:dat:m1:pos`, `adj:pl:dat:m3:pos`, `adj:pl:dat:n:pos`, `adj:pl:gen:f:com`, `adj:pl:gen:f:pos`, `adj:pl:gen:f:sup`, `adj:pl:gen:m1:com`, `adj:pl:gen:m1:pos`, `adj:pl:gen:m1:sup`, `adj:pl:gen:m2:pos`, `adj:pl:gen:m2:sup`, `adj:pl:gen:m3:com`, `adj:pl:gen:m3:pos`, `adj:pl:gen:m3:sup`, `adj:pl:gen:n:com`, `adj:pl:gen:n:pos`, `adj:pl:inst:f:pos`, `adj:pl:inst:m1:pos`, `adj:pl:inst:m2:pos`, `adj:pl:inst:m3:pos`, `adj:pl:inst:n:pos`, `adj:pl:loc:f:pos`, `adj:pl:loc:f:sup`, `adj:pl:loc:m1:com`, `adj:pl:loc:m1:pos`, `adj:pl:loc:m3:pos`, `adj:pl:loc:m3:sup`, `adj:pl:loc:n:com`, `adj:pl:loc:n:pos`, `adj:pl:nom:f:com`, `adj:pl:nom:f:pos`, `adj:pl:nom:f:sup`, `adj:pl:nom:m1:com`, `adj:pl:nom:m1:pos`, `adj:pl:nom:m1:sup`, `adj:pl:nom:m2:pos`, `adj:pl:nom:m2:sup`, `adj:pl:nom:m3:com`, `adj:pl:nom:m3:pos`, `adj:pl:nom:m3:sup`, `adj:pl:nom:n:com`, `adj:pl:nom:n:pos`, `adj:sg:acc:f:com`, `adj:sg:acc:f:pos`, `adj:sg:acc:f:sup`, `adj:sg:acc:m1:com`, `adj:sg:acc:m1:pos`, `adj:sg:acc:m1:sup`, `adj:sg:acc:m2:pos`, `adj:sg:acc:m3:com`, `adj:sg:acc:m3:pos`, `adj:sg:acc:m3:sup`, `adj:sg:acc:n:com`, `adj:sg:acc:n:pos`, `adj:sg:acc:n:sup`, `adj:sg:dat:f:pos`, `adj:sg:dat:m1:com`, `adj:sg:dat:m1:pos`, `adj:sg:dat:m2:pos`, `adj:sg:dat:m3:pos`, `adj:sg:dat:n:com`, `adj:sg:dat:n:pos`, `adj:sg:gen:f:com`, `adj:sg:gen:f:pos`, `adj:sg:gen:f:sup`, `adj:sg:gen:m1:pos`, `adj:sg:gen:m2:pos`, `adj:sg:gen:m3:com`, `adj:sg:gen:m3:pos`, `adj:sg:gen:m3:sup`, `adj:sg:gen:n:com`, `adj:sg:gen:n:pos`, `adj:sg:inst:f:com`, `adj:sg:inst:f:pos`, `adj:sg:inst:f:sup`, `adj:sg:inst:m1:com`, `adj:sg:inst:m1:pos`, `adj:sg:inst:m1:sup`, `adj:sg:inst:m2:pos`, `adj:sg:inst:m2:sup`, 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`siebie:gen`, `siebie:inst`, `siebie:loc`, `subst:pl:acc:f`, `subst:pl:acc:m1`, `subst:pl:acc:m2`, `subst:pl:acc:m3`, `subst:pl:acc:n`, `subst:pl:dat:f`, `subst:pl:dat:m1`, `subst:pl:dat:m3`, `subst:pl:dat:n`, `subst:pl:gen:f`, `subst:pl:gen:m1`, `subst:pl:gen:m2`, `subst:pl:gen:m3`, `subst:pl:gen:n`, `subst:pl:inst:f`, `subst:pl:inst:m1`, `subst:pl:inst:m2`, `subst:pl:inst:m3`, `subst:pl:inst:n`, `subst:pl:loc:f`, `subst:pl:loc:m1`, `subst:pl:loc:m2`, `subst:pl:loc:m3`, `subst:pl:loc:n`, `subst:pl:nom:f`, `subst:pl:nom:m1`, `subst:pl:nom:m2`, `subst:pl:nom:m3`, `subst:pl:nom:n`, `subst:pl:voc:m1`, `subst:sg:acc:f`, `subst:sg:acc:m1`, `subst:sg:acc:m2`, `subst:sg:acc:m3`, `subst:sg:acc:n`, `subst:sg:dat:f`, `subst:sg:dat:m1`, `subst:sg:dat:m2`, `subst:sg:dat:m3`, `subst:sg:dat:n`, `subst:sg:gen:f`, `subst:sg:gen:m1`, `subst:sg:gen:m2`, `subst:sg:gen:m3`, `subst:sg:gen:n`, `subst:sg:inst:f`, `subst:sg:inst:m1`, `subst:sg:inst:m2`, `subst:sg:inst:m3`, `subst:sg:inst:n`, `subst:sg:loc:f`, `subst:sg:loc:m1`, `subst:sg:loc:m2`, `subst:sg:loc:m3`, `subst:sg:loc:n`, `subst:sg:nom:f`, `subst:sg:nom:m1`, `subst:sg:nom:m2`, `subst:sg:nom:m3`, `subst:sg:nom:n`, `subst:sg:voc:f`, `subst:sg:voc:m1`, `subst:sg:voc:m3`, `winien:pl:f:imperf`, `winien:pl:m1:imperf`, `winien:pl:m3:imperf`, `winien:sg:f:imperf`, `winien:sg:m1:imperf`, `winien:sg:m3:imperf`, `winien:sg:n:imperf` |
| **`morphologizer`** | `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=PUNCT\|PunctType=Peri`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=PUNCT\|PunctType=Comm`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Agglutination=Nagl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Prep\|POS=ADP`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|POS=ADP\|Variant=Short`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `POS=SCONJ`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Aspect=Perf\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `AdpType=Post\|POS=ADP`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `POS=PUNCT`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PUNCT\|PunctType=Dash`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PUNCT\|PunctType=Excl`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `POS=CCONJ`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=2\|Variant=Short`, `Degree=Pos\|POS=ADV`, `POS=PUNCT\|PunctType=Qest`, `Mood=Cnd\|POS=AUX`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|VerbType=Quasi`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Degree=Pos\|POS=ADV\|PronType=Dem`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Number=Plur\|POS=AUX\|Person=1\|Variant=Short`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Aspect=Imp\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Degree=Sup\|POS=ADV`, `POS=ADV\|PronType=Dem`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|VerbType=Quasi`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `POS=PART`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `POS=ADV\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `POS=PART\|Polarity=Neg`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `POS=PART\|PartType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Short`, `Degree=Cmp\|POS=ADV`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=1\|Variant=Short`, `AdpType=Prep\|POS=ADP\|Variant=Long`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=1\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Dat\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `POS=ADV\|PronType=Neg`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `POS=ADJ\|PrepCase=Pre`, `Degree=Pos\|POS=ADV\|PronType=Int`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=2\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Short`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Nom\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Hyph=Yes\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|PronType=Rel`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Quot`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg\|SubGender=Masc1`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Mood=Imp\|POS=AUX`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Brck`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Brck`, `Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Polite=Depr\|SubGender=Masc2`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Degree=Pos\|POS=ADV\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=INTJ`, `POS=ADV\|PronType=Tot`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Agglutination=Nagl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Number=Plur\|POS=AUX\|Person=2\|Variant=Short`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Short`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Emphatic=Yes\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Agglutination=Agl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Agglutination=Nagl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Agglutination=Nagl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Quot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Loc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|POS=VERB\|Tense=Pres\|VerbForm=Conv\|Voice=Act`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `POS=SCONJ\|PronType=Rel`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `POS=PUNCT\|PunctType=Semi`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Ins\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=ADJ\|Variant=Short`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Ins\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Voc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Ins\|Emphatic=Yes\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Long`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Aspect=Perf\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int\|SubGender=Masc1`, `Emphatic=Yes\|POS=PART\|PartType=Int`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Perf\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Emphatic=Yes\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc1`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg\|SubGender=Masc1`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Voc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Aspect=Imp\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Perf\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Ind\|SubGender=Masc3`, `Emphatic=Yes\|POS=ADV\|PronType=Int`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Aspect=Perf\|POS=VERB\|Tense=Past\|VerbForm=Conv\|Voice=Act`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Aspect=Perf\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|NumType=Frac\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Agglutination=Nagl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Short`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `POS=PART\|Variant=Short`, `Case=Acc\|Gender=Fem\|NumType=Frac\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Case=Ins\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Agglutination=Agl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Aspect=Perf\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Aspect=Imp\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Short`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Neg`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc2`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Ind\|SubGender=Masc3`, `Case=Ins\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Short`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Dat\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int`, `Case=Acc\|Emphatic=Yes\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Aspect=Imp\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Loc\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc2`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Agglutination=Nagl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=PART\|Variant=Long`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Perf\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Polite=Depr\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Neg\|VerbForm=Vnoun`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Short`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Emphatic=Yes\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Dat\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Emphatic=Yes\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc2`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:aglt`, `aux:mood`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:obj`, `conj`, `cop`, `cop:locat`, `csubj`, `dep`, `det`, `discourse`, `expl:impers`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `punct`, `vocative`, `xcomp`, `xcomp:obj` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `5`, `6`, `7`, `9`, `11`, `13`, `15`, `17`, `19`, `21`, `23`, `25`, `26`, `30`, `32`, `34`, `38`, `39`, `41`, `43`, `46`, `48`, `51`, `53`, `55`, `57`, `60`, `62`, `63`, `66`, `68`, `70`, `72`, `75`, `77`, `79`, `81`, `82`, `84`, `86`, `88`, `91`, `93`, `94`, `96`, `98`, `99`, `101`, `104`, `107`, `109`, `111`, `113`, `117`, `119`, `122`, `124`, `126`, `127`, `128`, `130`, `131`, `133`, `134`, `136`, `137`, `139`, `141`, `143`, `144`, `146`, `148`, `150`, `152`, `154`, `156`, `158`, `160`, `162`, `165`, `167`, `169`, `171`, `172`, `173`, `174`, `175`, `177`, `179`, `180`, `183`, `185`, `187`, `189`, `191`, `193`, `195`, `197`, `198`, `200`, `204`, `206`, `207`, `209`, `210`, `211`, `213`, `215`, `217`, `219`, `221`, `223`, `226`, `228`, `230`, `232`, `235`, `236`, `238`, `240`, `242`, `243`, `245`, `246`, `248`, `250`, `252`, `254`, `256`, `259`, `261`, `263`, `264`, `266`, `268`, `270`, `272`, `273`, `275`, `277`, `279`, `280`, `282`, `284`, `286`, `288`, `289`, `291`, `293`, `295`, `297`, `300`, `302`, `303`, `305`, `306`, `307`, `309`, `311`, `313`, `315`, `318`, `320`, `321`, `323`, `325`, `327`, `328`, `331`, `333`, `335`, `340`, `342`, `344`, `345`, `347`, `350`, `352`, `353`, `355`, `356`, `358`, `361`, `363`, `365`, `290`, `367`, `369`, `371`, `373`, `375`, `377`, `379`, `381`, `383`, `385`, `387`, `389`, `392`, `394`, `396`, `398`, `400`, `403`, `405`, `407`, `410`, `411`, `413`, `415`, `417`, `418`, `422`, `424`, `426`, `428`, `430`, `432`, `434`, `436`, `438`, `440`, `442`, `444`, `447`, `449`, `451`, `453`, `455`, `457`, `459`, `463`, `465`, `467`, `471`, `473`, `475`, `477`, `479`, `481`, `482`, `484`, `486`, `488`, `490`, `492`, `493`, `495`, `497`, `498`, `499`, `501`, `502`, `504`, `507`, `509`, `511`, `513`, `515`, `517`, `519`, `521`, `522`, `524`, `526`, `527`, `529`, `531`, `534`, `536`, `539`, `541`, `542`, `543`, `545`, `547`, `549`, `551`, `552`, `555`, `557`, `558`, `560`, `561`, `563`, `565`, `567`, `568`, `570`, `572`, `574`, `576`, `578`, `580`, `582`, `584`, `586`, `589`, `591`, `592`, `594`, `596`, `597`, `599`, `601`, `602`, `603`, `605`, `607`, `609`, `610`, `612`, `614`, `616`, `620`, `622`, `624`, `626`, `628`, `631`, `633`, `635`, `637`, `639`, `641`, `643`, `648`, `650`, `652`, `654`, `656`, `658`, `660`, `662`, `663`, `665`, `667`, `669`, `671`, `673`, `677`, `679`, `681`, `683`, `685`, `688`, `690`, `692`, `694`, `696`, `698`, `700`, `704`, `706`, `708`, `712`, `714`, `716`, `718`, `719`, `721`, `722`, `724`, `726`, `729`, `731`, `733`, `734`, `736`, `738`, `740`, `742`, `744`, `746`, `748`, `750`, `752`, `753`, `755`, `757`, `759`, `761`, `763`, `766`, `768`, `770`, `772`, `774`, `776`, `778`, `780`, `783`, `785`, `787`, `790`, `792`, `794`, `796`, `798`, `801`, `803`, `805`, `807`, `809`, `811`, `813`, `815`, `817`, `818`, `820`, `822`, `824`, `826`, `828`, `829`, `830`, `834`, `837`, `839`, `841`, `843`, `844`, `845`, `849`, `851`, `853`, `855`, `857`, `859`, `861`, `863`, `866`, `867`, `869`, `870`, `872`, `874`, `875`, `879`, `881`, `883`, `884`, `887`, `889`, `891`, `892`, `893`, `894`, `895`, `897`, `898`, `900`, `901`, `903`, `904`, `906`, `907`, `908`, `909`, `913`, `915`, `917`, `919`, `920`, `922`, `924`, `926`, `928`, `930`, `931`, `933`, `934`, `935`, `937`, `938`, `939`, `940`, `942`, `944`, `948`, `952`, `953`, `954`, `955`, `957`, `961`, `963`, `966`, `968`, `969`, `970`, `973`, `974`, `976`, `977`, `979`, `981`, `982`, `984`, `986`, `988`, `989`, `991`, `993`, `995`, `997`, `999`, `1000`, `1002`, `1004`, `1006`, `1009`, `1010`, `1012`, `1016`, `1018`, `1020`, `1023`, `1026`, `1027`, `1028`, `1029`, `1032`, `1033`, `1034`, `1035`, `1036`, `1038`, `1040`, `1042`, `1043`, `1046`, `1048`, `1049`, `1051`, `1052`, `1054`, `1055`, `1056`, `1057`, `1059`, `1060`, `1061`, `1063`, `1064`, `1065`, `1067`, `1070`, `1072`, `1074`, `1075`, `1076`, `1077`, `1079`, `1080`, `1081`, `1083`, `1086`, `1088`, `1090`, `1092`, `1093`, `1095`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.89 |
| `TOKEN_P` | 99.89 |
| `TOKEN_R` | 99.90 |
| `TOKEN_ACC` | 99.98 |
| `SENTS_F` | 99.89 |
| `SENTS_P` | 99.89 |
| `SENTS_R` | 99.89 |
| `TAG_ACC` | 95.62 |
| `POS_ACC` | 99.05 |
| `MORPH_ACC` | 95.42 |
| `DEP_UAS` | 97.39 |
| `DEP_LAS` | 95.55 |
| `LEMMA_ACC` | 95.92 |
|
{"language": ["pl"], "license": "gpl-3.0", "tags": ["spacy", "token-classification"]}
|
explosion/pl_udv25_polishlfg_trf
| null |
[
"spacy",
"token-classification",
"pl",
"license:gpl-3.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Portuguese-Bosque
| Feature | Description |
| --- | --- |
| **Name** | `pt_udv25_portuguesebosque_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (2079 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADP_ADV`, `ADP_DET`, `ADP_NUM`, `ADP_PRON`, `ADP_PROPN`, `ADV`, `ADV_PRON`, `ADV_PROPN`, `AUX`, `AUX_PRON`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PART_NOUN`, `PRON`, `PRON_PRON`, `PROPN`, `PROPN_DET`, `PROPN_PROPN`, `PUNCT`, `SCONJ`, `SCONJ_DET`, `SCONJ_PRON`, `SYM`, `VERB`, `VERB_PRON`, `X` |
| **`morphologizer`** | `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=PROPN`, `Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Def\|POS=ADP\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `POS=PUNCT`, `NumType=Card\|POS=NUM`, `POS=ADV`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=VERB\|VerbForm=Part`, `POS=ADP`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ`, `POS=VERB\|VerbForm=Inf`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=CCONJ`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Unsp\|Number=Sing\|POS=PROPN`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=ADP\|PronType=Art`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=ADV\|Polarity=Neg`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `POS=X`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Unsp\|Number=Plur\|POS=NOUN`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `POS=AUX\|VerbForm=Inf`, `Gender=Fem\|Number=Plur\|POS=VERB\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `POS=VERB\|VerbForm=Ger`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|VerbForm=Part\|Voice=Pass`, `Gender=Masc\|Number=Plur\|POS=PROPN`, `Number=Plur\|POS=AUX\|Person=3\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Art`, `POS=VERB\|VerbForm=Part`, `Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=ADP\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=ADP\|PronType=Art`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `NumType=Ord\|POS=ADJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Unsp\|Number=Plur\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=VERB\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=SCONJ\|PronType=Dem`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=VERB\|VerbForm=Part`, `Gender=Fem\|Number=Plur\|POS=VERB\|VerbForm=Part`, `Gender=Masc\|NumType=Mult\|Number=Sing\|POS=NUM`, `Gender=Unsp\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Rel`, `Gender=Unsp\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Gender=Masc\|Number=Sing\|POS=PROPN\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=VERB\|Person=3\|VerbForm=Inf`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin`, `POS=AUX\|VerbForm=Part`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Unsp\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Unsp\|Number=Sing\|POS=PRON\|PronType=Rel`, `Number=Sing\|POS=DET\|PronType=Art`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=ADP\|PronType=Art`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|NumType=Frac\|Number=Sing\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=ADP\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Number=Plur\|POS=VERB\|Person=3\|VerbForm=Inf`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=SCONJ\|PronType=Art`, `Definite=Def\|POS=SCONJ\|PronType=Art`, `Gender=Masc\|Number=Plur\|POS=ADP\|PronType=Art`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Unsp\|POS=PRON\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `POS=AUX`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=ADP\|PronType=Art`, `POS=INTJ`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Unsp\|Number=Sing\|POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Acc\|Gender=Unsp\|Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Unsp\|POS=PRON\|PronType=Ind`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Art`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|POS=VERB\|PronType=Prs\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Unsp\|POS=VERB\|PronType=Prs\|VerbForm=Ger`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Gender=Unsp\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Gender=Masc\|Number=Plur\|POS=ADP\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=AUX\|Person=3\|VerbForm=Inf`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Int`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=ADP\|PronType=Art`, `Gender=Fem\|Number=Plur\|POS=ADP\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PART`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Unsp\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=ADV`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Definite=Def\|POS=DET\|PronType=Art`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Number=Plur\|POS=VERB\|Person=1\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin`, `Gender=Masc\|POS=ADJ`, `POS=NOUN`, `POS=AUX\|VerbForm=Ger`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=SCONJ\|PronType=Art`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Number=Sing\|POS=NOUN`, `Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Unsp\|Number=Plur\|POS=PROPN`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Case=Dat\|Gender=Unsp\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Gender=Unsp\|POS=PRON\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|POS=PRON\|PronType=Prs`, `Gender=Unsp\|Number=Unsp\|POS=PRON\|PronType=Rel`, `POS=VERB\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Case=Acc\|Gender=Unsp\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=AUX\|VerbForm=Part`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Inf`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Number=Sing\|POS=PROPN\|PronType=Art`, `Case=Dat\|Gender=Unsp\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=1\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pqp\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Unsp\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Unsp\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=AUX\|Person=1\|Tense=Past`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Gender=Unsp\|Number=Unsp\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADV\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Gender=Unsp\|Number=Unsp\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Masc\|Number=Sing\|POS=DET`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Unsp\|POS=VERB\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=X`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel`, `Gender=Masc\|Number=Sing\|POS=SCONJ`, `Gender=Masc\|Number=Sing\|POS=PRON`, `Gender=Fem\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Dat\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `POS=ADP\|PronType=Dem`, `Definite=Def\|Gender=Fem\|POS=ADP\|PronType=Art`, `POS=ADP\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=ADP`, `Gender=Masc\|Number=Sing\|POS=ADP\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Imp\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `POS=DET`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Gender=Unsp\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Art`, `Case=Acc\|Gender=Masc\|Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=AUX\|Person=1\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=PRON\|PronType=Rel`, `Gender=Fem\|Number=Plur\|POS=ADP\|PronType=Ind`, `Case=Dat\|Gender=Unsp\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Number=Sing\|POS=VERB\|Person=3\|VerbForm=Inf\|Voice=Pass`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Number=Plur\|POS=VERB\|Person=2\|PronType=Prs\|VerbForm=Inf`, `Gender=Unsp\|Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem,Masc\|Number=Sing\|POS=PROPN`, `Gender=Unsp\|Number=Unsp\|POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Plur\|POS=NUM`, `POS=PRON\|PronType=Neg`, `Gender=Fem\|Number=Sing\|POS=SCONJ\|PronType=Dem`, `POS=SYM`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=X`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|NumType=Sets\|Number=Sing\|POS=NUM`, `Foreign=Yes\|POS=NOUN`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Case=Acc\|Gender=Unsp\|POS=AUX\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Unsp\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Unsp\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Unsp\|Number=Plur\|POS=PRON\|PronType=Int`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=SCONJ\|PronType=Art`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Prs`, `Number=Sing\|POS=VERB\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=ADP\|PronType=Ind`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=SCONJ\|PronType=Art`, `Number=Sing\|POS=VERB`, `Number=Sing\|POS=DET`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Pass`, `NumType=Mult\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Neg`, `POS=PRON\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Unsp\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Unsp\|Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Gender=Masc\|Number=Sing\|POS=ADV\|Polarity=Neg`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Number=Sing\|POS=VERB\|Person=1\|PronType=Prs\|VerbForm=Inf`, `Number=Sing\|POS=VERB\|Person=1\|VerbForm=Inf`, `Definite=Def\|Gender=Masc\|Number=Unsp\|POS=ADP\|PronType=Art`, `Gender=Masc\|Number=Unsp\|POS=NOUN`, `Gender=Masc\|NumType=Ord\|Number=Sing\|POS=NOUN`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=SCONJ\|PronType=Art`, `POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=ADV\|PronType=Ind`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Dat\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Unsp\|Number=Plur\|POS=VERB\|Person=1\|PronType=Prs\|VerbForm=Inf`, `Gender=Unsp\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Unsp\|Number=Sing\|POS=DET\|PronType=Rel`, `Gender=Fem\|Number=Plur\|POS=VERB`, `Case=Dat\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|PronType=Prs\|VerbForm=Inf`, `Gender=Unsp\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `NumType=Range\|POS=NUM`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Gender=Unsp\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Dat\|Gender=Masc\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Fut\|VerbForm=Fin`, `Number=Unsp\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=1\|PronType=Prs\|VerbForm=Inf`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Int`, `Gender=Masc\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Number=Sing\|POS=VERB\|Person=1\|VerbForm=Inf\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=SCONJ\|PronType=Dem`, `NumType=Frac\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=ADP\|PronType=Ind`, `Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=ADV\|PronType=Rel`, `Case=Acc\|POS=VERB\|PronType=Prs\|VerbForm=Ger`, `Mood=Cnd\|POS=VERB\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf\|Voice=Pass`, `POS=VERB\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Unsp\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Number=Sing\|POS=X`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Dat\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Gender=Masc\|Number=Sing\|POS=ADV\|PronType=Int`, `Case=Dat\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1,3\|PronType=Prs\|Tense=Past\|VerbForm=Fin`, `POS=VERB`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Acc\|Gender=Unsp\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc,Dat\|Gender=Fem,Unsp\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Unsp\|Number=Unsp\|POS=ADV\|PronType=Int`, `Gender=Unsp\|Number=Sing\|POS=ADV\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `POS=PROPN`, `Case=Acc\|Gender=Masc\|POS=AUX\|PronType=Prs\|VerbForm=Ger`, `Case=Acc\|Gender=Fem\|POS=AUX\|PronType=Prs\|VerbForm=Ger`, `Case=Acc\|Gender=Fem\|Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Dat\|Gender=Unsp\|Number=Plur\|POS=VERB\|Person=1\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Prs`, `Gender=Fem\|Number=Plur\|POS=X`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `Definite=Ind\|Gender=Fem\|POS=DET\|PronType=Art`, `Gender=Unsp\|Number=Sing\|POS=ADV`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Pqp\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Unsp\|POS=PRON\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=PROPN\|PronType=Art`, `Gender=Masc\|Number=Plur\|POS=VERB`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Pqp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=ADV\|PronType=Ind`, `Mood=Sub\|Number=Sing\|POS=AUX\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Pass`, `POS=DET\|PronType=Ind`, `POS=SCONJ\|VerbForm=Ger`, `Mood=Cnd\|Number=Sing\|POS=VERB\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=DET`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=VERB`, `Mood=Sub\|Number=Sing\|POS=VERB\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|POS=PRON\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|POS=PROPN`, `Gender=Fem\|Number=Plur\|POS=DET`, `NumType=Ord\|POS=NUM`, `POS=DET\|PronType=Int`, `Case=Acc\|Gender=Unsp\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Fin`, `POS=PART`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PronType=Prs\|VerbForm=Inf`, `NumType=Card\|POS=ADP`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Rel`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Unsp\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=SCONJ\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|Tense=Imp\|VerbForm=Fin`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Art`, `Case=Dat\|Gender=Unsp\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `dislocated`, `expl`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `3`, `4`, `6`, `8`, `9`, `11`, `13`, `15`, `17`, `20`, `22`, `24`, `14`, `7`, `26`, `28`, `30`, `32`, `34`, `36`, `38`, `40`, `42`, `44`, `45`, `48`, `53`, `54`, `55`, `57`, `58`, `60`, `62`, `65`, `66`, `67`, `70`, `72`, `74`, `76`, `79`, `83`, `85`, `87`, `89`, `91`, `95`, `99`, `101`, `102`, `104`, `106`, `108`, `110`, `113`, `115`, `117`, `119`, `120`, `122`, `124`, `125`, `126`, `128`, `130`, `132`, `134`, `136`, `138`, `141`, `142`, `144`, `147`, `150`, `152`, `154`, `155`, `159`, `162`, `163`, `165`, `166`, `169`, `171`, `172`, `174`, `175`, `178`, `180`, `181`, `184`, `186`, `189`, `191`, `193`, `195`, `198`, `200`, `111`, `202`, `204`, `207`, `209`, `212`, `214`, `216`, `218`, `220`, `221`, `223`, `224`, `226`, `228`, `230`, `232`, `234`, `236`, `239`, `242`, `244`, `245`, `246`, `247`, `249`, `251`, `252`, `253`, `256`, `257`, `259`, `261`, `263`, `267`, `269`, `270`, `271`, `273`, `277`, `278`, `281`, `282`, `283`, `285`, `286`, `288`, `289`, `290`, `292`, `293`, `295`, `297`, `298`, `300`, `302`, `303`, `305`, `307`, `309`, `310`, `311`, `313`, `314`, `316`, `319`, `168`, `322`, `323`, `326`, `327`, `329`, `331`, `333`, `335`, `336`, `338`, `341`, `343`, `345`, `347`, `348`, `350`, `351`, `354`, `356`, `359`, `361`, `363`, `364`, `365`, `366`, `367`, `369`, `373`, `376`, `378`, `379`, `380`, `381`, `383`, `384`, `386`, `389`, `392`, `394`, `395`, `396`, `398`, `400`, `403`, `405`, `407`, `409`, `410`, `412`, `415`, `416`, `417`, `418`, `419`, `420`, `422`, `424`, `429`, `431`, `432`, `438`, `439`, `441`, `442`, `445`, `448`, `449`, `450`, `452`, `454`, `457`, `458`, `461`, `463`, `465`, `468`, `469`, `470`, `473`, `475`, `477`, `478`, `481`, `484`, `485`, `486`, `488`, `491`, `495`, `497`, `499`, `503`, `506`, `507`, `508`, `509`, `510`, `511`, `513`, `514`, `516`, `517`, `519`, `521`, `522`, `523`, `525`, `528`, `530`, `533`, `534`, `536`, `538`, `540`, `541`, `542`, `544`, `545`, `547`, `549`, `551`, `552`, `554`, `555`, `558`, `559`, `560`, `562`, `563`, `565`, `566`, `570`, `572`, `579`, `582`, `583`, `585`, `586`, `587`, `590`, `592`, `594`, `595`, `597`, `599`, `601`, `603`, `606`, `608`, `609`, `611`, `612`, `614`, `615`, `616`, `619`, `621`, `622`, `625`, `626`, `627`, `629`, `630`, `631`, `633`, `634`, `637`, `638`, `639`, `640`, `642`, `644`, `646`, `647`, `652`, `653`, `656`, `657`, `659`, `660`, `661`, `664`, `666`, `669`, `671`, `672`, `673`, `674`, `675`, `677`, `678`, `680`, `682`, `685`, `687`, `689`, `691`, `692`, `693`, `695`, `699`, `701`, `702`, `703`, `706`, `707`, `709`, `710`, `711`, `712`, `714`, `716`, `718`, `719`, `720`, `721`, `724`, `725`, `729`, `730`, `732`, `735`, `738`, `740`, `742`, `744`, `746`, `749`, `750`, `751`, `754`, `756`, `760`, `762`, `767`, `769`, `771`, `774`, `776`, `778`, `780`, `781`, `784`, `785`, `787`, `788`, `789`, `791`, `793`, `794`, `795`, `798`, `800`, `801`, `803`, `804`, `806`, `808`, `810`, `811`, `812`, `814`, `816`, `819`, `820`, `823`, `824`, `825`, `828`, `829`, `832`, `833`, `835`, `836`, `839`, `840`, `844`, `845`, `847`, `850`, `851`, `853`, `854`, `855`, `858`, `861`, `862`, `863`, `865`, `868`, `871`, `873`, `875`, `877`, `879`, `880`, `881`, `882`, `883`, `884`, `885`, `887`, `889`, `892`, `894`, `895`, `537`, `896`, `898`, `899`, `902`, `904`, `905`, `908`, `909`, `912`, `914`, `916`, `917`, `920`, `921`, `922`, `924`, `925`, `928`, `929`, `930`, `931`, `933`, `936`, `939`, `940`, `942`, `943`, `945`, `948`, `949`, `951`, `953`, `956`, `957`, `960`, `961`, `963`, `964`, `965`, `966`, `969`, `970`, `971`, `973`, `976`, `977`, `979`, `981`, `983`, `985`, `987`, `988`, `990`, `991`, `993`, `994`, `995`, `996`, `997`, `998`, `1000`, `1001`, `1004`, `1006`, `1007`, `1009`, `1011`, `1013`, `1014`, `1015`, `1019`, `1021`, `1023`, `1025`, `1026`, `1029`, `1030`, `1033`, `1034`, `1036`, `1037`, `1039`, `1041`, `1042`, `1044`, `1046`, `1048`, `1050`, `1051`, `1054`, `1056`, `1057`, `1059`, `1061`, `1062`, `1064`, `1066`, `1067`, `1068`, `1069`, `1071`, `1072`, `1073`, `1074`, `1075`, `1077`, `1078`, `1079`, `1081`, `1083`, `1084`, `1085`, `1086`, `1088`, `1089`, `1092`, `1093`, `1097`, `1100`, `1101`, `1103`, `1104`, `1106`, `1108`, `1110`, `1114`, `1115`, `1117`, `1118`, `1119`, `1121`, `1123`, `1124`, `1126`, `1127`, `1128`, `1130`, `1133`, `1135`, `1136`, `1140`, `1143`, `1146`, `1148`, `1149`, `1151`, `1152`, `1155`, `1157`, `1158`, `1160`, `1163`, `1164`, `1165`, `1167`, `1168`, `1170`, `1172`, `1176`, `1177`, `1178`, `1180`, `1182`, `1184`, `1186`, `1187`, `1189`, `1190`, `1193`, `1196`, `1198`, `1202`, `1203`, `1204`, `1205`, `1206`, `1207`, `1208`, `1209`, `1210`, `1211`, `1214`, `1215`, `1216`, `1218`, `1219`, `1220`, `1221`, `1223`, `1225`, `1226`, `1228`, `1229`, `1230`, `1233`, `1234`, `1236`, `1237`, `1238`, `1239`, `1240`, `1242`, `1244`, `1247`, `1248`, `1249`, `1250`, `1251`, `1254`, `1256`, `1257`, `1258`, `1260`, `1262`, `1263`, `1266`, `1271`, `1272`, `1273`, `1274`, 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`2433`, `2435`, `2437`, `1962`, `2438`, `2439`, `2440`, `2442`, `2443`, `2444`, `2445` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.92 |
| `TOKEN_P` | 99.93 |
| `TOKEN_R` | 99.91 |
| `TOKEN_ACC` | 99.99 |
| `SENTS_F` | 95.82 |
| `SENTS_P` | 95.40 |
| `SENTS_R` | 96.25 |
| `TAG_ACC` | 98.09 |
| `POS_ACC` | 98.14 |
| `MORPH_ACC` | 97.34 |
| `DEP_UAS` | 93.85 |
| `DEP_LAS` | 91.19 |
| `LEMMA_ACC` | 98.00 |
|
{"language": ["pt"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/pt_udv25_portuguesebosque_trf
| null |
[
"spacy",
"token-classification",
"pt",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Romanian-Nonstandard
| Feature | Description |
| --- | --- |
| **Name** | `ro_udv25_romaniannonstandard_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (7445 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `AdpType=Prep\|Case=Acc`, `Afp`, `Afpf--n`, `Afpfp-n`, `Afpfpon`, `Afpfpoy`, `Afpfprn`, `Afpfpry`, `Afpfson`, `Afpfsoy`, `Afpfsrn`, `Afpfsry`, `Afpmp-n`, `Afpmpoy`, `Afpmprn`, `Afpmpry`, `Afpmpvy`, `Afpms-n`, `Afpmsoy`, `Afpmsrn`, `Afpmsry`, `Afpmsvn`, `Afpmsvy`, `COLON`, `COMMA`, `Cccsp`, `Cccsz`, `Ccssp`, `Ccssz`, `Cscsp`, `Csssp`, `DASH`, `DBLQ`, `Dd3-po---e`, `Dd3-po---o`, `Dd3fpo`, `Dd3fpr`, `Dd3fpr---e`, `Dd3fpr---o`, `Dd3fso`, `Dd3fso---e`, `Dd3fso---o`, `Dd3fsr`, `Dd3fsr---e`, `Dd3fsr---o`, `Dd3mpo`, `Dd3mpr`, `Dd3mpr---e`, `Dd3mpr---o`, `Dd3mso`, `Dd3mso---e`, `Dd3mso---o`, `Dd3msr`, `Dd3msr---e`, `Dd3msr---o`, `Dh1mp`, `Dh1ms`, `Dh2mp`, `Dh2ms`, `Dh3fp`, `Dh3mp`, `Dh3ms`, `Di3--r`, `Di3-po`, `Di3-sr`, `Di3fp`, `Di3fpo`, `Di3fpr`, `Di3fso`, `Di3fsr`, `Di3mpr`, `Di3mso`, `Di3msr`, `Ds1fp-p`, `Ds1fp-s`, `Ds1fsop`, `Ds1fsos`, `Ds1fsrp`, `Ds1fsrs`, `Ds1mp-p`, `Ds1mp-s`, `Ds1ms-p`, `Ds1ms-s`, `Ds2fp-p`, `Ds2fp-s`, `Ds2fsop`, `Ds2fsos`, `Ds2fsrp`, `Ds2fsrs`, `Ds2mp-p`, `Ds2mp-s`, `Ds2ms-p`, `Ds2ms-s`, `Ds3fp-s`, `Ds3fsos`, `Ds3fsrs`, `Ds3mp-s`, `Ds3ms-s`, `Dw3--r`, `Dw3-po`, `Dw3fpr`, `Dw3fso`, `Dw3fsr`, `Dw3mpr`, `Dw3mso`, `Dw3msr`, `Dz3fpr`, `Dz3fsr`, `Dz3msr`, `EXCL`, `EXCLHELLIP`, `HELLIP`, `I`, `LPAR`, `M`, `Mc-p-l`, `Mcfp-l`, `Mcfpol`, `Mcfprln`, `Mcfsoln`, `Mcfsoly`, `Mcfsrln`, `Mcfsrly`, `Mcmp-l`, `Mcms-ln`, `Mcmsoly`, `Mcmsrl`, `Mcmsrly`, `Mffsrln`, `Ml-po`, `Mlfpr`, `Mlmpr`, `Mmfpr-n`, `Mmmpr-n`, `Mmmsr-n`, `Mo---l`, `Mo---ln`, `Mo-s-r`, `Mofprln`, `Mofprly`, `Mofs-l`, `Mofs-ly`, `Mofsrln`, `Mofsrly`, `Momp-ln`, `Moms-l`, `Moms-ln`, `Momsoly`, `Momsrly`, `Ncfpoy`, `Ncfprn`, `Ncfpry`, `Ncfpvy`, `Ncfson`, `Ncfsoy`, `Ncfsrn`, `Ncfsry`, `Ncfsvn`, `Ncfsvy`, `Ncmpoy`, `Ncmprn`, `Ncmpry`, `Ncmpvy`, `Ncmson`, `Ncmsoy`, `Ncmsrn`, `Ncmsry`, `Ncmsvn`, `Ncmsvy`, `Ncnsrn`, `Np`, `Npfpoy`, `Npfprn`, `Npfpry`, `Npfsoy`, `Npfsrn`, `Npfsry`, `Npfsvn`, `Npmpoy`, `Npmprn`, `Npmpry`, `Npmsoy`, `Npmsrn`, `Npmsry`, `Npmsvn`, `Npmsvy`, `PERIOD`, `Pd3-po`, `Pd3-po---o`, `Pd3fpo`, `Pd3fpr`, `Pd3fso`, `Pd3fsr`, `Pd3mpo`, `Pd3mpr`, `Pd3mso`, `Pd3msr`, `Ph1mp`, `Ph1ms`, `Ph2mp`, `Ph2ms`, `Ph3--r`, `Ph3fp`, `Ph3fsr`, `Ph3mp`, `Ph3mpo`, `Ph3mpr`, `Ph3ms`, `Ph3mso`, `Pi3--r`, `Pi3-po`, `Pi3-so`, `Pi3-sr`, `Pi3fpo`, `Pi3fpr`, `Pi3fso`, `Pi3fsr`, `Pi3mpo`, `Pi3mpr`, `Pi3mpry`, `Pi3mso`, `Pi3msr`, `Pi3msry`, `Pp1-pa--------s`, `Pp1-pa--------w`, `Pp1-pd--------s`, `Pp1-pd--------w`, `Pp1-pr`, `Pp1-sa--------s`, `Pp1-sa--------w`, `Pp1-sd--------s`, `Pp1-sd--------w`, `Pp1-sr`, `Pp2-pa--------s`, `Pp2-pa--------w`, `Pp2-pd--------s`, `Pp2-pd--------w`, `Pp2-po`, `Pp2-pr`, `Pp2-sa--------s`, `Pp2-sa--------w`, `Pp2-sd--------s`, `Pp2-sd--------w`, `Pp2-so`, `Pp2-sr`, `Pp3-pd--------s`, `Pp3-pd--------w`, `Pp3-po`, `Pp3-pr`, `Pp3-sd--------w`, `Pp3-so`, `Pp3fpa--------s`, `Pp3fpa--------w`, `Pp3fpr`, `Pp3fsa--------s`, `Pp3fsa--------w`, `Pp3fsd--------s`, `Pp3fso`, `Pp3fsoy`, `Pp3fsr`, `Pp3mpa--------s`, `Pp3mpa--------w`, `Pp3mpo`, `Pp3mpr`, `Pp3msa--------s`, `Pp3msa--------w`, `Pp3msd--------s`, `Pp3mso`, `Pp3msr`, `Pp3msry`, `Ps1fp-p`, `Ps1fp-s`, `Ps1fsrp`, `Ps1fsrs`, `Ps1mp-p`, `Ps1ms-p`, `Ps1ms-s`, `Ps2fp-p`, `Ps2fp-s`, `Ps2fsrp`, `Ps2fsrs`, `Ps2mp-s`, `Ps2ms-p`, `Ps2ms-s`, `Ps3fp-s`, `Ps3fsrs`, `Ps3mp-s`, `Ps3ms-s`, `Pw3--r`, `Pw3-po`, `Pw3-pr`, `Pw3-pry`, `Pw3-so`, `Pw3fpr`, `Pw3fpry`, `Pw3fso`, `Pw3fsr`, `Pw3fsry`, `Pw3mpr`, `Pw3mpry`, `Pw3mso`, `Pw3msr`, `Pw3msry`, `Px3--a--------s`, `Px3--a--------w`, `Px3--d--------s`, `Px3--d--------w`, `Px3--d-------w`, `Pz3-so`, `Pz3-sr`, `Pz3fsr`, `Pz3mso`, `Pz3msr`, `QUEST`, `QUOT`, `Qn`, `Qs`, `Qz`, `RPAR`, `Rg`, `Ri`, `Rw`, `Rz`, `SCOLON`, `Sp`, `Spca`, `Spcg`, `Spsa`, `Spsd`, `Spsg`, `TILDA`, `Td-po`, `Tdfpr`, `Tdfso`, `Tdfsr`, `Tdmpr`, `Tdmso`, `Tdmsr`, `Tf-so`, `Tffsr`, `Tfmso`, `Tfmsr`, `Ti-po`, `Ti-pr`, `Tifso`, `Tifsr`, `Timso`, `Timsr`, `Tsfpr`, `Tsfso`, `Tsfsr`, `Tsmpr`, `Tsmsr`, `Vag-----p`, `Vag-----z`, `Vaii1p`, `Vaii1s`, `Vaii2p`, `Vaii2s`, `Vaii3p`, `Vaii3s`, `Vail3s`, `Vaip1p`, `Vaip1s`, `Vaip2p`, `Vaip2s`, `Vaip3`, `Vaip3p`, `Vaip3s`, `Vais1p`, `Vais1s`, `Vais2p`, `Vais2s`, `Vais3p`, `Vais3s`, `Vam-2p`, `Vam-2p---l`, `Vam-2s--p`, `Vam-2s--z`, `Vam-2s-p`, `Vam-2s-z`, `Vamip3p`, `Vamip3s`, `Vamn`, `Vamsp3`, `Van`, `Van------l`, `Vap`, `Vap--sm-p`, `Vasp1p`, `Vasp1s`, `Vasp2p`, `Vasp2s`, `Vasp3`, `Vasp3s`, `Vmg-----p`, `Vmg-----z`, `Vmii1p`, `Vmii1s`, `Vmii2p`, `Vmii2s`, `Vmii3p`, `Vmii3s`, `Vmil1s`, `Vmil2p`, `Vmil2s`, `Vmil3p`, `Vmil3s`, `Vmip1p`, `Vmip1s`, `Vmip2p`, `Vmip2s`, `Vmip3`, `Vmip3p`, `Vmip3s`, `Vmis1p`, `Vmis1s`, `Vmis2p`, `Vmis2s`, `Vmis3p`, `Vmis3s`, `Vmm-2p`, `Vmm-2p---l`, `Vmm-2s--p`, `Vmm-2s--z`, `Vmn`, `Vmn------l`, `Vmp`, `Vmp--pf-p`, `Vmp--pf-z`, `Vmp--pm-p`, `Vmp--pm-z`, `Vmp--sf-p--o`, `Vmp--sf-p--r`, `Vmp--sf-z--r`, `Vmp--sm-p`, `Vmp--sm-z`, `Vmsp1p`, `Vmsp1s`, `Vmsp2p`, `Vmsp2s`, `Vmsp3`, `Vmsp3s`, `X`, `Y` |
| **`morphologizer`** | `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `POS=ADV\|PronType=Int,Rel`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Int,Rel`, `POS=CCONJ\|Polarity=Pos`, `Compound=Yes\|POS=SCONJ\|Polarity=Pos`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PART\|PartType=Sub`, `Mood=Sub\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `POS=VERB\|VerbForm=Inf`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADV\|Polarity=Neg`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `POS=AUX\|Polarity=Pos\|VerbForm=Ger`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `POS=VERB\|Polarity=Pos\|VerbForm=Ger`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=INTJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ\|Polarity=Pos`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `AdpType=Prep\|Case=Acc\|Compound=Yes\|POS=ADP`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat,Gen\|Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|POS=DET\|Person=3\|PronType=Int,Rel`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Voc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres`, `POS=AUX\|VerbForm=Part`, `POS=VERB\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=PART\|PartType=Inf`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Art`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Art`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Sub\|POS=AUX\|Person=3\|Tense=Pres`, `Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `NumForm=Digit\|POS=NUM`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `POS=PROPN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Compound=Yes\|POS=CCONJ\|Polarity=Neg`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `POS=AUX\|VerbForm=Inf`, `AdpType=Prep\|Case=Gen\|Compound=Yes\|POS=ADP`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Frac\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=2\|PronType=Emp`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=VERB\|Polarity=Neg\|VerbForm=Ger`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Variant=Long\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Mood=Sub\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Voc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Compound=Yes\|POS=CCONJ\|Polarity=Pos`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Voc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Art`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Emp`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `POS=VERB\|Variant=Long\|VerbForm=Inf`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Compound=Yes\|POS=ADV\|Polarity=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Art`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|NumForm=Word\|NumType=Ord\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=AUX\|Variant=Long\|VerbForm=Inf`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `POS=X`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Emp`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Acc,Nom\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=AUX\|Polarity=Neg\|VerbForm=Ger`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres`, `Case=Acc,Nom\|POS=DET\|Person=3\|PronType=Ind`, `Case=Voc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `POS=CCONJ\|Polarity=Neg`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Voc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Past`, `Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|VerbForm=Part`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Voc\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `POS=PRON\|Polarity=Pos`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Emp`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=2\|PronType=Emp`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|Position=Postnom\|PronType=Dem`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Emp`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Compound=Yes\|POS=ADP\|Polarity=Pos`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=ADJ`, `Case=Voc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `POS=ADV\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `POS=AUX\|Polarity=Pos`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres`, `NumForm=Roman\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Variant=Long\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Variant=Long`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Imp`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Emp`, `NumForm=Word\|NumType=Ord\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=1\|PronType=Emp`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=1\|PronType=Emp`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Art`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|POS=ADJ`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Past`, `Case=Dat,Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pqp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pqp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pqp`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Person=3\|Tense=Pres`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Strong`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|POS=ADJ`, `POS=DET`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=ADP`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=NUM`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Neg`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Pos\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Part`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=ADV\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advcl:tcl`, `advmod`, `advmod:tmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:pmod`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `expl`, `expl:impers`, `expl:pass`, `expl:poss`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:agent`, `nmod:pmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `4`, `6`, `8`, `12`, `14`, `16`, `19`, `23`, `29`, `30`, `32`, `35`, `37`, `39`, `40`, `45`, `46`, `47`, `51`, `53`, `54`, `57`, `61`, `63`, `65`, `66`, `69`, `33`, `71`, `73`, `76`, `79`, `80`, `84`, `86`, `87`, `88`, `89`, `92`, `95`, `97`, `100`, `103`, `105`, `107`, `110`, `112`, `113`, `115`, `117`, `120`, `121`, `123`, `125`, `126`, `128`, `130`, `132`, `133`, `136`, `140`, `143`, `145`, `147`, `58`, `148`, `151`, `154`, `157`, `159`, `163`, `165`, `167`, `171`, `174`, `176`, `178`, `180`, `182`, `184`, `185`, `187`, `188`, `190`, `192`, `196`, `197`, `199`, `200`, `202`, `206`, `208`, `210`, `211`, `213`, `215`, `216`, `219`, `221`, `223`, `225`, `226`, `228`, `230`, `232`, `236`, `238`, `241`, `242`, `244`, `246`, `248`, `251`, `253`, `255`, `258`, `260`, `264`, `265`, `267`, `272`, `275`, `278`, `280`, `281`, `284`, `286`, `287`, `290`, `291`, `292`, `295`, `296`, `298`, `300`, `301`, `302`, `305`, `306`, `307`, `309`, `310`, `312`, `314`, `315`, `317`, `319`, `321`, `323`, `324`, `327`, `330`, `332`, `334`, `335`, `337`, `339`, `340`, `343`, `344`, `345`, `346`, `350`, `351`, `353`, `355`, `357`, `360`, `362`, `366`, `368`, `369`, `370`, `371`, `224`, `374`, `376`, `378`, `379`, `381`, `384`, `385`, `386`, `388`, `389`, `391`, `392`, `393`, `396`, `398`, `399`, `403`, `406`, `408`, `411`, `413`, `415`, `418`, `422`, `423`, `426`, `427`, `431`, `433`, `436`, `438`, `440`, `442`, `445`, `448`, `449`, `450`, `451`, `452`, `454`, `455`, `457`, `459`, `460`, `462`, `464`, `466`, `468`, `471`, `472`, `473`, `474`, `475`, `478`, `481`, `482`, `485`, `486`, `488`, `490`, `492`, `494`, `495`, `497`, `498`, `499`, `501`, `503`, `504`, `506`, `508`, `510`, `513`, `514`, `515`, `516`, `518`, `519`, `521`, `523`, `524`, `526`, `527`, `528`, `530`, `533`, `96`, `537`, `538`, `539`, `542`, `544`, `545`, `547`, `548`, `553`, `555`, `556`, `558`, `559`, `561`, `562`, `563`, `565`, `566`, `570`, `572`, `573`, `575`, `577`, `578`, `579`, `581`, `583`, `584`, `586`, `588`, `589`, `592`, `594`, `595`, `596`, `598`, `599`, `600`, `601`, `604`, `606`, `607`, `608`, `612`, `613`, `616`, `619`, `621`, `623`, `625`, `628`, `629`, `630`, `632`, `635`, `636`, `173`, `639`, `641`, `643`, `647`, `649`, `651`, `654`, `656`, `658`, `659`, `661`, `662`, `663`, `666`, `668`, `669`, `670`, `672`, `673`, `676`, `677`, `679`, `681`, `683`, `685`, `687`, `689`, `690`, `691`, `693`, `694`, `695`, `696`, `698`, `699`, `701`, `702`, `703`, `704`, `705`, `706`, `708`, `712`, `713`, `716`, `718`, `720`, `722`, `724`, `725`, `729`, `732`, `734`, `735`, `736`, `739`, `742`, `745`, `747`, `750`, `753`, `755`, `758`, `759`, `761`, `763`, `764`, `766`, `768`, `769`, `771`, `772`, `774`, `777`, `778`, `781`, `784`, `785`, `787`, `790`, `794`, `797`, `800`, `801`, `802`, `804`, `807`, `809`, `814`, `817`, `820`, `821`, `822`, `824`, `827`, `828`, `829`, `832`, `834`, `836`, `837`, `839`, `840`, `841`, `843`, `844`, `846`, `847`, `848`, `850`, `851`, `852`, `855`, `116`, `856`, `860`, `861`, `863`, `866`, `868`, `869`, `871`, `874`, `875`, `877`, `879`, `881`, `884`, `886`, `888`, `890`, `891`, `892`, `894`, `897`, `898`, `900`, `901`, `902`, `904`, `905`, `908`, `913`, `914`, `916`, `917`, `918`, `921`, `922`, `924`, `927`, `929`, `932`, `934`, `935`, `937`, `939`, `941`, `943`, `946`, `948`, `949`, `951`, `952`, `954`, `955`, `956`, `958`, `960`, `963`, `965`, `968`, `971`, `972`, `974`, `978`, `981`, `983`, `984`, `986`, `988`, `989`, `991`, `992`, `994`, `997`, `998`, `1000`, `1001`, `1002`, `1004`, `1006`, `1007`, `1008`, `1010`, `1011`, `1013`, `1014`, `1015`, `1017`, `1019`, `1022`, `1024`, `1029`, `1030`, `1032`, `1034`, `767`, `1035`, `1036`, `1037`, `1038`, `1040`, `1041`, `1042`, `1044`, `1045`, `1046`, `1049`, `1050`, `1052`, `1053`, `1055`, `1058`, `1061`, `1065`, `1067`, `1068`, `1071`, `1072`, `1074`, `1076`, `1078`, `1080`, `1081`, `1083`, `1084`, `1086`, `1087`, `1090`, `1091`, `1093`, `1097`, `1098`, `1099`, `1100`, `1102`, `1105`, `1106`, `1107`, `1110`, `1111`, `1113`, `1116`, `1123`, `1126`, `1127`, `1128`, `1129`, `1131`, `1132`, `1133`, `1135`, `1137`, `1139`, `1141`, `1144`, `1145`, `1147`, `1149`, `1150`, `1152`, `1154`, `1155`, `1156`, `1157`, `1158`, `1115`, `1159`, `1160`, `1162`, `1163`, `1164`, `1165`, `1168`, `1170`, `1172`, `1173`, `1174`, `1175`, `1176`, `1177`, `1178`, `1179`, `1181`, `1183`, `1184`, `1186`, `1187`, `1191`, `1195`, `1197`, `1198`, `1200`, `1201`, `1203`, `1205`, `1207`, `1209`, `1211`, `1212`, `1214`, `1215`, `1217`, `1219`, `1220`, `1223`, `1225`, `1227`, `183`, `1228`, `1231`, `1232`, `1234`, `1237`, `1239`, `1240`, `1242`, `1245`, `1247`, `1248`, `1249`, `1251`, `1252`, `1254`, `1255`, `1257`, `1259`, `1261`, `1263`, `1264`, `1266`, `1268`, `1272`, `1273`, `1277`, `1278`, `1280`, `1281`, `1282`, `1285`, `1286`, `1290`, `1291`, `1294`, `1296`, `1298`, `1300`, `1301`, `1303`, `1305`, `1308`, `1309`, `1310`, `1311`, `1312`, `1314`, `1316`, `1318`, `1320`, `1322`, `1324`, `1325`, `1327`, `1329`, `1331`, `1333`, `1335`, `1337`, `1338`, `1339`, `1341`, `1342`, `1343`, `1344`, `1346`, `1347`, `1350`, `142`, `1354`, `1355`, `1357`, `1358`, `1360`, `1362`, `1365`, `1366`, `1367`, `1368`, `1369`, `744`, `1370`, `1372`, `1373`, `1374`, `1375`, `1376`, `1377`, `1378`, `1380`, `1381`, `1382`, `1383`, `1386`, `1388`, `1389`, `1390`, `1394`, `1396`, `1399`, `1402`, `1405`, `1407`, `1409`, `1411`, `1412`, `1413`, `1414`, `1418`, `1419`, `1421`, `1422`, `1423`, `1424`, `1426`, `1427`, `1430`, `1432`, `1433`, `1434`, `1436`, `1438`, `1439`, `1440`, `1441`, `1442`, `1443`, `1446`, `1447`, `1448`, `1449`, `1450`, `1454`, `1456`, `1458`, `1459`, `1460`, `1464`, `1465`, `1467`, `1468`, `1469`, `1470`, `1472`, `1473`, `1475`, `1478`, `1479`, `1481`, `1483`, `1484`, `1486`, `1003`, `1489`, `1491`, `1493`, `1496`, `1498`, `1499`, `1501`, `1503`, `1506`, `1508`, `1511`, `1514`, `1515`, `1517`, `1518`, `1521`, `1522`, `1523`, `1524`, `1525`, `1528`, `1530`, `1531`, `1532`, `1533`, `1537`, `1539`, `1541`, `1542`, `1543`, `1545`, `1546`, `1547`, `1549`, `1550`, `1551`, `1552`, `1553`, `1555`, `1558`, `1559`, `1561`, `1562`, `1564`, `1566`, `1568`, `1570`, `1572`, `1576`, `1577`, `1579`, `1580`, `1582`, `1584`, `1585`, `1588`, `1590`, `1592`, `1593`, `1594`, `1596`, `1597`, `1599`, `1600`, `1601`, `1603`, `1605`, `1607`, `1609`, `1613`, `1615`, `1617`, `1619`, `1622`, `1623`, `1624`, `1625`, `1626`, `1627`, `1628`, `1629`, `1630`, `1633`, `1636`, `1638`, `1639`, `1640`, `1641`, `1643`, `1645`, `1647`, `1649`, `1652`, `1655`, `1656`, `1658`, `1660`, `1662`, `1665`, `1667`, `1669`, `1670`, `1671`, `1673`, `1674`, `1677`, `1678`, `1679`, `1680`, `1683`, `1686`, `1688`, `1689`, `1691`, `1693`, `1694`, `1696`, `1698`, `1699`, `1703`, `1704`, `1707`, `1708`, `1710`, `1712`, `1714`, `1716`, `1718`, `1720`, `1722`, `1724`, `1725`, `1726`, `1727`, `1729`, `1730`, `1731`, `1733`, `1734`, `1736`, `1737`, `1740`, `1741`, `1743`, `1744`, `1746`, `1747`, `1749`, `1750`, `1751`, `1752`, `1754`, `1755`, `1757`, `1758`, `1760`, `1762`, `1764`, `1766`, `1767`, `1769`, `1771`, `1774`, `1777`, `1779`, `1780`, `1781`, `1783`, `1785`, `1786`, `1789`, `1790`, `1793`, `1796`, `1799`, `1800`, `1802`, `1804`, `1805`, `1807`, `1809`, `1810`, `1813`, `1815`, `1817`, `1819`, `1822`, `1823`, `1825`, `1826`, `1827`, `1829`, `1830`, `1833`, `1835`, `1837`, `1840`, `1843`, `1844`, `1846`, `1848`, `1850`, `1853`, `1854`, `1855`, `1857`, `1859`, `1863`, `1865`, `1867`, `1870`, `1872`, `1873`, `1874`, `1875`, `1876`, `1878`, `1879`, `1880`, `1882`, `1884`, `1885`, `1888`, `1889`, `1892`, `1893`, `1895`, `1896`, `1897`, `1898`, `1899`, `1901`, `1903`, `1905`, `1907`, `1909`, `1911`, `1913`, `1915`, `1916`, `1918`, `1919`, `1921`, `1923`, `1925`, `1928`, `1931`, `1933`, `1935`, `1936`, `1938`, `1940`, `1943`, `1945`, `1946`, `1948`, `1951`, `1954`, `1956`, `1957`, `1958`, `1960`, `1962`, `1963`, `1965`, `1967`, `1969`, `1971`, `1973`, `1976`, `1977`, `1979`, `1981`, `1984`, `1986`, `1988`, `1989`, `1991`, `1994`, `1996`, `1999`, `2000`, `2001`, `2003`, `2004`, `2006`, `2008`, `2010`, `2011`, `2016`, `2017`, `2019`, `2020`, `2022`, `2023`, `2024`, `2025`, `2026`, `2027`, `2029`, `2031`, `2033`, `2034`, `2035`, `2036`, `2038`, `2041`, `2042`, `2043`, `2045`, `2047`, `2048`, `2049`, `2051`, `2053`, `2055`, `2057`, `2060`, `2063`, `2064`, `2066`, `2067`, `2068`, `2070`, `2071`, `2072`, `2073`, `2074`, `2075`, `2076`, `2079`, `2080`, `2082`, `2083`, `2084`, `2085`, `2086`, `2087`, `2089`, `2092`, `2094`, `2095`, `2098`, `2100`, `2102`, `2104`, `2105`, `2107`, `2109`, `2110`, `2112`, `2115`, `2117`, `2119`, `2120`, `2121`, `2123`, `2124`, `1482`, `2125`, `2127`, `2129`, `2132`, `2134`, `2137`, `2139`, `2140`, `2143`, `2146`, `2147`, `2148`, `2149`, `2150`, `2152`, `2154`, `2156`, `2157`, `2158`, `2159`, `2160`, `2161`, `2162`, `2164`, `2166`, `2168`, `2169`, `2170`, `2171`, `2173`, `2174`, `2177`, `2178`, `2180`, `2182`, `2183`, `2186`, `2188`, `2189`, `2191`, `2192`, `2193`, `2194`, `2195`, `2197`, `2198`, `2199`, `2200`, `2202`, `2206`, `2208`, `2209`, `2211`, `2214`, `2216`, `2217`, `2220`, `2221`, `2222`, `2223`, `2224`, `2225`, `2226`, `2228`, `2229`, `2230`, `2232`, `2234`, `2236`, `2237`, `2239`, `2241`, `2242`, `2243`, `2244`, `2245`, `2246`, `2248`, `2249`, `2251`, `2252`, `2172`, `2254`, `2256`, `2257`, `2258`, `2259`, `2261`, `2262`, `2263`, `2265`, `2267`, `2268`, `2270`, `2274`, `2277`, `2279`, `2280`, `2281`, `2282`, `2284`, `2286`, `2287`, `2291`, `2293`, `2294`, `2296`, `2297`, `2298`, `2300`, `2303`, `2305`, `2307`, `2308`, `2310`, `2312`, `2314`, `2316`, `2317`, `2319`, `2321`, `2323`, `2325`, `2326`, `2328`, `2329`, `2330`, `2331`, `2332`, `2333`, `2334`, `2336`, `2338`, `2341`, `2343`, `2345`, `2348`, `2349`, `2351`, `2352`, `2353`, `2355`, `2356`, `2358`, `2359`, `2361`, `2362`, `2364`, `2366`, `2368`, `2369`, `2371`, `2373`, `2375`, `2377`, `2378`, `2379`, `2381`, `2382`, `2383`, `2384`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.06 |
| `TOKEN_P` | 99.06 |
| `TOKEN_R` | 99.06 |
| `TOKEN_ACC` | 99.77 |
| `SENTS_F` | 97.00 |
| `SENTS_P` | 97.32 |
| `SENTS_R` | 96.67 |
| `TAG_ACC` | 93.85 |
| `POS_ACC` | 97.66 |
| `MORPH_ACC` | 93.64 |
| `DEP_UAS` | 92.56 |
| `DEP_LAS` | 87.49 |
| `LEMMA_ACC` | 93.99 |
|
{"language": ["ro"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/ro_udv25_romaniannonstandard_trf
| null |
[
"spacy",
"token-classification",
"ro",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Romanian-RRT
| Feature | Description |
| --- | --- |
| **Name** | `ro_udv25_romanianrrt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (3096 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ARROW`, `Af`, `Afcfp-n`, `Afcfson`, `Afcfsrn`, `Afcmpoy`, `Afcms-n`, `Afp`, `Afp-p-n`, `Afp-poy`, `Afpf--n`, `Afpfp-n`, `Afpfp-ny`, `Afpfpoy`, `Afpfpry`, `Afpfson`, `Afpfsoy`, `Afpfsrn`, `Afpfsry`, `Afpm--n`, `Afpmp-n`, `Afpmpoy`, `Afpmpry`, `Afpms-n`, `Afpmsoy`, `Afpmsry`, `Afsfp-n`, `Afsfsrn`, `BULLET`, `COLON`, `COMMA`, `Ccssp`, `Ccsspy`, `Crssp`, `Csssp`, `Cssspy`, `DASH`, `DBLQ`, `Dd3-po---e`, `Dd3-po---o`, `Dd3fpo`, `Dd3fpr`, `Dd3fpr---e`, `Dd3fpr---o`, `Dd3fpr--y`, `Dd3fso`, `Dd3fso---e`, `Dd3fsr`, `Dd3fsr---e`, `Dd3fsr---o`, `Dd3fsr--yo`, `Dd3mpo`, `Dd3mpr`, `Dd3mpr---e`, `Dd3mpr---o`, `Dd3mso---e`, `Dd3msr`, `Dd3msr---e`, `Dd3msr---o`, `Dh1ms`, `Dh3fp`, `Dh3fso`, `Dh3fsr`, `Dh3mp`, `Dh3ms`, `Di3`, `Di3-----y`, `Di3--r---e`, `Di3-po`, `Di3-po---e`, `Di3-sr`, `Di3-sr---e`, `Di3-sr--y`, `Di3fp`, `Di3fpr`, `Di3fpr---e`, `Di3fso`, `Di3fso---e`, `Di3fsr`, `Di3fsr---e`, `Di3mp`, `Di3mpr`, `Di3mpr---e`, `Di3ms`, `Di3ms----e`, `Di3mso---e`, `Di3msr`, `Di3msr---e`, `Ds1fp-p`, `Ds1fp-s`, `Ds1fsop`, `Ds1fsos`, `Ds1fsrp`, `Ds1fsrs`, `Ds1fsrs-y`, `Ds1mp-p`, `Ds1mp-s`, `Ds1ms-p`, `Ds1ms-s`, `Ds1msrs-y`, `Ds2---s`, `Ds2fp-p`, `Ds2fp-s`, `Ds2fsrp`, `Ds2fsrs`, `Ds2mp-p`, `Ds2mp-s`, `Ds2ms-p`, `Ds2ms-s`, `Ds3---p`, `Ds3---s`, `Ds3fp-s`, `Ds3fsos`, `Ds3fsrs`, `Ds3mp-s`, `Ds3ms-s`, `Dw3--r---e`, `Dw3-po---e`, `Dw3fpr`, `Dw3fso---e`, `Dw3fsr`, `Dw3mpr`, `Dw3mso---e`, `Dw3msr`, `Dz3fsr---e`, `Dz3mso---e`, `Dz3msr---e`, `EQUAL`, `EXCL`, `EXCLHELLIP`, `GE`, `GT`, `HELLIP`, `I`, `LCURL`, `LPAR`, `LSQR`, `LT`, `M`, `Mc`, `Mc-p-d`, `Mc-p-l`, `Mcfp-l`, `Mcfp-ln`, `Mcfprln`, `Mcfprly`, `Mcfsoln`, `Mcfsrln`, `Mcmp-l`, `Mcms-ln`, `Mcmsrl`, `Mcmsrly`, `Mffprln`, `Mffsrln`, `Mlfpo`, `Mlfpr`, `Mlmpr`, `Mo---l`, `Mo---ln`, `Mo-s-r`, `Mofp-ln`, `Mofpoly`, `Mofprly`, `Mofs-l`, `Mofsoln`, `Mofsoly`, `Mofsrln`, `Mofsrly`, `Mompoly`, `Momprly`, `Moms-l`, `Moms-ln`, `Momsoly`, `Momsrly`, `Nc`, `Nc---n`, `Ncf--n`, `Ncfp-n`, `Ncfpoy`, `Ncfpry`, `Ncfs-n`, `Ncfson`, `Ncfsoy`, `Ncfsrn`, `Ncfsry`, `Ncfsryy`, `Ncfsvy`, `Ncm--n`, `Ncmp-n`, `Ncmpoy`, `Ncmpry`, `Ncms-n`, `Ncms-ny`, `Ncms-y`, `Ncmsoy`, `Ncmsrn`, `Ncmsry`, `Ncmsryy`, `Ncmsvn`, `Ncmsvy`, `Np`, `Npfson`, `Npfsoy`, `Npfsrn`, `Npfsry`, `Npmpoy`, `Npmpry`, `Npms-n`, `Npmsoy`, `Npmsry`, `PERCENT`, `PERIOD`, `PLUS`, `PLUSMINUS`, `Pd3-po`, `Pd3fpr`, `Pd3fso`, `Pd3fsr`, `Pd3mpo`, `Pd3mpr`, `Pd3mpr--y`, `Pd3mso`, `Pd3msr`, `Pi3`, `Pi3--r`, `Pi3-po`, `Pi3-so`, `Pi3-sr`, `Pi3fpr`, `Pi3fso`, `Pi3fsr`, `Pi3mpr`, `Pi3mso`, `Pi3msr`, `Pi3msr--y`, `Pp1-pa--------w`, `Pp1-pa--y-----w`, `Pp1-pd--------s`, `Pp1-pd--------w`, `Pp1-pd--y-----w`, `Pp1-pr--------s`, `Pp1-sa--------s`, `Pp1-sa--------w`, `Pp1-sa--y-----w`, `Pp1-sd--------s`, `Pp1-sd--------w`, `Pp1-sd--y-----w`, `Pp1-sn--------s`, `Pp2-----------s`, `Pp2-pa--------w`, `Pp2-pa--y-----w`, `Pp2-pd--------w`, `Pp2-pd--y-----w`, `Pp2-pr--------s`, `Pp2-sa--------s`, `Pp2-sa--------w`, `Pp2-sa--y-----w`, `Pp2-sd--------s`, `Pp2-sd--------w`, `Pp2-sd--y-----w`, `Pp2-sn--------s`, `Pp2-so--------s`, `Pp2-sr--------s`, `Pp3-p---------s`, `Pp3-pd--------w`, `Pp3-pd--y-----w`, `Pp3-po--------s`, `Pp3-sd--------w`, `Pp3-sd--y-----w`, `Pp3fpa--------w`, `Pp3fpa--y-----w`, `Pp3fpr--------s`, `Pp3fs---------s`, `Pp3fsa--------w`, `Pp3fsa--y-----w`, `Pp3fso--------s`, `Pp3fsr--------s`, `Pp3fsr--y-----s`, `Pp3mpa--------w`, `Pp3mpa--y-----w`, `Pp3mpr--------s`, `Pp3ms---------s`, `Pp3msa--------w`, `Pp3msa--y-----w`, `Pp3mso--------s`, `Pp3msr--------s`, `Pp3msr--y-----s`, `Ps1fp-s`, `Ps1fsrp`, `Ps1fsrs`, `Ps1mp-p`, `Ps1ms-p`, `Ps2fp-s`, `Ps2fsrp`, `Ps2fsrs`, `Ps2ms-s`, `Ps3---p`, `Ps3---s`, `Ps3fp-s`, `Ps3fsrs`, `Ps3mp-s`, `Ps3ms-s`, `Pw3--r`, `Pw3-po`, `Pw3-so`, `Pw3fpr`, `Pw3fso`, `Pw3mpr`, `Pw3mso`, `Px3--a--------s`, `Px3--a--------w`, `Px3--a--y-----w`, `Px3--d--------w`, `Px3--d--y-----w`, `Pz3-sr`, `Pz3fsr`, `QUEST`, `QUOT`, `Qf`, `Qn`, `Qs`, `Qs-y`, `Qz`, `Qz-y`, `RCURL`, `RPAR`, `RSQR`, `Rc`, `Rgc`, `Rgp`, `Rgpy`, `Rgs`, `Rp`, `Rw`, `Rw-y`, `Rz`, `SCOLON`, `SLASH`, `STAR`, `Sp`, `Spsa`, `Spsay`, `Spsd`, `Spsg`, `Td-po`, `Tdfpr`, `Tdfso`, `Tdfsr`, `Tdmpr`, `Tdmso`, `Tdmsr`, `Tf-so`, `Tffpoy`, `Tffpry`, `Tffs-y`, `Tfmpoy`, `Tfms-y`, `Tfmsoy`, `Tfmsry`, `Ti-po`, `Tifp-y`, `Tifso`, `Tifsr`, `Timso`, `Timsr`, `Tsfp`, `Tsfs`, `Tsmp`, `Tsms`, `UNDERSC`, `Va--1`, `Va--1-----y`, `Va--1p`, `Va--1s`, `Va--1s----y`, `Va--2p`, `Va--2p----y`, `Va--2s`, `Va--2s----y`, `Va--3`, `Va--3-----y`, `Va--3p`, `Va--3p----y`, `Va--3s`, `Va--3s----y`, `Vag`, `Vaii1`, `Vaii2s`, `Vaii3p`, `Vaii3s`, `Vail3p`, `Vail3s`, `Vaip1p`, `Vaip1s`, `Vaip2p`, `Vaip2s`, `Vaip3p`, `Vaip3p----y`, `Vaip3s`, `Vaip3s----y`, `Vais3p`, `Vais3s`, `Vam-2s`, `Vanp`, `Vap--sm`, `Vasp1p`, `Vasp1s`, `Vasp2p`, `Vasp2s`, `Vasp3`, `Vmg`, `Vmg-------y`, `Vmii1`, `Vmii1-----y`, `Vmii2p`, `Vmii2s`, `Vmii3p`, `Vmii3p----y`, `Vmii3s`, `Vmii3s----y`, `Vmil1`, `Vmil1p`, `Vmil2s`, `Vmil3p`, `Vmil3p----y`, `Vmil3s`, `Vmil3s----y`, `Vmip1p`, `Vmip1p----y`, `Vmip1s`, `Vmip1s----y`, `Vmip2p`, `Vmip2s`, `Vmip2s----y`, `Vmip3`, `Vmip3-----y`, `Vmip3p`, `Vmip3s`, `Vmip3s----y`, `Vmis1p`, `Vmis1s`, `Vmis3p`, `Vmis3p----y`, `Vmis3s`, `Vmis3s----y`, `Vmm-2p`, `Vmm-2s`, `Vmnp`, `Vmnp------y`, `Vmp--pf`, `Vmp--pm`, `Vmp--sf`, `Vmp--sm`, `Vmp--sm---y`, `Vmsp1p`, `Vmsp1s`, `Vmsp2s`, `Vmsp3`, `Vmsp3-----y`, `X`, `Y`, `Ya`, `Yn`, `Ynfsoy`, `Ynfsry`, `Ynmsoy`, `Ynmsry`, `Yp`, `Yp-sr`, `Yr` |
| **`morphologizer`** | `Case=Dat,Gen\|Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `POS=PROPN`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=ADV\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `POS=PUNCT`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=CCONJ\|Polarity=Pos`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Sub\|POS=PART\|Variant=Short`, `Mood=Sub\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `POS=AUX\|Tense=Pres\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=VERB\|VerbForm=Part`, `POS=ADV`, `Degree=Pos\|POS=ADV`, `POS=PART\|Polarity=Neg`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|POS=PART`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `POS=SCONJ\|Polarity=Pos`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=AUX\|Person=3`, `POS=VERB\|Tense=Pres\|VerbForm=Inf`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=VERB\|VerbForm=Ger`, `Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PART\|PartType=Inf`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak\|Variant=Short`, `Case=Acc,Nom\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=VERB\|VerbForm=Part`, `POS=ADV\|PronType=Neg`, `AdpType=Prep\|Case=Acc\|POS=ADP\|Variant=Short`, `Case=Acc,Nom\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Number=Sing\|POS=AUX\|Person=2`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Gender=Fem\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|POS=ADJ`, `Case=Dat,Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Sub\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `NumForm=Word\|NumType=Ord\|POS=NUM`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `AdpType=Prep\|POS=PUNCT`, `Gender=Masc\|Number=Plur\|POS=VERB\|VerbForm=Part`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=AUX\|VerbForm=Part`, `POS=VERB\|Variant=Short\|VerbForm=Ger`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Number=Sing\|POS=AUX\|Person=3`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `POS=AUX\|Person=1`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=PART\|Polarity=Neg\|Variant=Short`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Mood=Ind\|POS=VERB\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak\|Variant=Short`, `Number=Plur\|POS=AUX\|Person=3`, `Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=SCONJ\|Polarity=Pos\|Variant=Short`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=PART\|Tense=Fut`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `POS=DET\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|NumForm=Word\|NumType=Ord\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `NumForm=Digit\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `POS=INTJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|POS=ADJ`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pqp\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Voc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind\|Variant=Short`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `POS=CCONJ\|Polarity=Pos\|Variant=Short`, `Number=Plur\|POS=AUX\|Person=2`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `POS=AUX\|VerbForm=Ger`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Ind`, `Definite=Ind\|Gender=Fem\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN\|Variant=Short`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Degree=Sup\|POS=ADV`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `POS=ADV\|PronType=Int,Rel\|Variant=Short`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN\|Variant=Short`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Degree=Pos\|POS=ADV\|Variant=Short`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=NOUN`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `POS=NOUN`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `AdpType=Prep\|POS=SYM`, `Case=Acc,Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `POS=SYM`, `POS=X`, `Abbr=Yes\|POS=X`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Abbr=Yes\|POS=ADV`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `NumForm=Roman\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Voc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Acc,Nom\|Number=Sing\|POS=PRON`, `Foreign=Yes\|POS=PROPN`, `Definite=Ind\|Foreign=Yes\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Foreign=Yes\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Foreign=Yes\|Gender=Fem\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Foreign=Yes\|POS=X`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Foreign=Yes\|POS=NOUN`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Neg`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Definite=Ind\|POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=1\|PronType=Emp`, `Abbr=Yes\|POS=PRON`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=AUX\|Person=1`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `NumType=Card\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=AUX\|Person=3\|Variant=Short`, `Number=Plur\|POS=AUX\|Person=2\|Variant=Short`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|Variant=Short\|VerbForm=Fin`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN\|Variant=Short`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Variant=Short`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|Variant=Short\|VerbForm=Fin`, `Number=Plur\|POS=AUX\|Person=3\|Variant=Short`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Number=Plur\|POS=AUX\|Person=1`, `POS=VERB\|Tense=Pres\|Variant=Short\|VerbForm=Inf`, `Number=Sing\|POS=AUX\|Person=2\|Variant=Short`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem\|Variant=Short`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong\|Variant=Short`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Degree=Pos\|POS=ADV\|Polarity=Neg`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong\|Variant=Short`, `POS=AUX\|Person=3\|Variant=Short`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB\|Variant=Short\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Mood=Sub\|POS=VERB\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=AUX\|Person=1\|Variant=Short`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Dat,Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `POS=ADV\|Polarity=Neg`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Foreign=Yes\|Gender=Fem\|Number=Sing\|POS=ADJ`, `AdpType=Prep\|Case=Acc\|Foreign=Yes\|POS=ADP`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `POS=AUX\|Person=1\|Variant=Short`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `AdpType=Prep\|POS=ADP`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Abbr=Yes\|Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADJ`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Foreign=Yes\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Abbr=Yes\|Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Foreign=Yes\|POS=VERB\|Tense=Pres\|VerbForm=Inf`, `Foreign=Yes\|NumForm=Roman\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|Foreign=Yes\|Gender=Masc\|POS=NOUN`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=1\|Tense=Imp\|Variant=Short\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pqp\|Variant=Short\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|Variant=Short\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Definite=Def\|Foreign=Yes\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pqp\|Variant=Short\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADV`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|Variant=Short\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind\|Variant=Short`, `Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advcl:tcl`, `advmod`, `advmod:tmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:pmod`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `expl`, `expl:impers`, `expl:pass`, `expl:poss`, `expl:pv`, `fixed`, `flat`, `goeswith`, `iobj`, `list`, `mark`, `nmod`, `nmod:agent`, `nmod:pmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `3`, `7`, `9`, `12`, `14`, `15`, `19`, `22`, `24`, `26`, `30`, `32`, `34`, `36`, `38`, `40`, `42`, `45`, `47`, `49`, `51`, `53`, `55`, `61`, `62`, `66`, `67`, `68`, `71`, `73`, `76`, `78`, `80`, `83`, `85`, `86`, `89`, `91`, `92`, `93`, `95`, `97`, `98`, `99`, `102`, `104`, `106`, `108`, `109`, `111`, `107`, `113`, `115`, `116`, `119`, `121`, `124`, `128`, `129`, `130`, `132`, `135`, `139`, `143`, `146`, `148`, `150`, `151`, `154`, `156`, `158`, `159`, `162`, `165`, `166`, `167`, `169`, `171`, `173`, `175`, `177`, `180`, `182`, `183`, `185`, `186`, `187`, `189`, `191`, `193`, `195`, `197`, `198`, `199`, `201`, `203`, `205`, `207`, `208`, `210`, `212`, `215`, `217`, `218`, `221`, `223`, `227`, `229`, `230`, `231`, `232`, `233`, `234`, `237`, `239`, `240`, `242`, `244`, `246`, `248`, `249`, `251`, `252`, `254`, `257`, `259`, `261`, `263`, `266`, `268`, `269`, `271`, `272`, `274`, `276`, `278`, `280`, `282`, `283`, `285`, `287`, `289`, `293`, `294`, `296`, `298`, `300`, `301`, `303`, `305`, `307`, `309`, `311`, `313`, `315`, `317`, `318`, `320`, `322`, `324`, `326`, `328`, `330`, `331`, `333`, `334`, `336`, `337`, `339`, `342`, `343`, `344`, `346`, `349`, `353`, `355`, `357`, `359`, `360`, `361`, `363`, `364`, `366`, `367`, `369`, `370`, `372`, `374`, `376`, `378`, `379`, `380`, `381`, `383`, `384`, `386`, `388`, `389`, `391`, `74`, `393`, `395`, `397`, `399`, `401`, `403`, `406`, `408`, `409`, `412`, `413`, `415`, `416`, `417`, `418`, `419`, `420`, `421`, `422`, `423`, `425`, `426`, `428`, `429`, `431`, `434`, `435`, `439`, `443`, `445`, `447`, `449`, `451`, `452`, `453`, `456`, `458`, `460`, `461`, `462`, `464`, `466`, `467`, `468`, `470`, `471`, `473`, `474`, `475`, `476`, `478`, `481`, `484`, `485`, `486`, `487`, `489`, `491`, `492`, `493`, `496`, `498`, `500`, `503`, `504`, `505`, `509`, `512`, `513`, `514`, `515`, `516`, `519`, `520`, `521`, `522`, `523`, `525`, `526`, `527`, `528`, `213`, `530`, `531`, `532`, `535`, `539`, `541`, `544`, `546`, `547`, `548`, `550`, `552`, `553`, `555`, `557`, `558`, `559`, `560`, `563`, `565`, `566`, `569`, `572`, `574`, `576`, `578`, `580`, `582`, `585`, `588`, `589`, `590`, `591`, `592`, `593`, `594`, `597`, `599`, `601`, `603`, `605`, `606`, `608`, `610`, `614`, `616`, `617`, `618`, `620`, `624`, `626`, `41`, `628`, `629`, `631`, `632`, `634`, `636`, `639`, `641`, `643`, `645`, `647`, `650`, `653`, `654`, `655`, `657`, `658`, `661`, `664`, `665`, `667`, `669`, `671`, `672`, `674`, `675`, `677`, `678`, `680`, `682`, `683`, `686`, `688`, `690`, `693`, `695`, `697`, `699`, `701`, `702`, `703`, `705`, `706`, `707`, `708`, `711`, `713`, `714`, `715`, `717`, `719`, `721`, `722`, `725`, `726`, `728`, `731`, `733`, `735`, `736`, `737`, `738`, `740`, `742`, `744`, `745`, `747`, `749`, `750`, `751`, `752`, `754`, `757`, `759`, `761`, `762`, `764`, `765`, `766`, `768`, `769`, `770`, `771`, `772`, `774`, `775`, `776`, `779`, `781`, `784`, `785`, `787`, `789`, `791`, `792`, `794`, `796`, `797`, `799`, `800`, `802`, `803`, `808`, `809`, `810`, `813`, `816`, `817`, `818`, `820`, `821`, `822`, `824`, `826`, `827`, `828`, `830`, `832`, `834`, `836`, `837`, `839`, `841`, `843`, `845`, `847`, `848`, `849`, `851`, `855`, `856`, `858`, `861`, `862`, `864`, `865`, `866`, `867`, `868`, `870`, `871`, `873`, `876`, `877`, `880`, `881`, `883`, `885`, `889`, `891`, `892`, `894`, `896`, `898`, `900`, `902`, `904`, `905`, `907`, `908`, `911`, `913`, `914`, `916`, `918`, `919`, `920`, `923`, `924`, `926`, `927`, `929`, `932`, `935`, `936`, `937`, `938`, `940`, `942`, `943`, `945`, `947`, `948`, `952`, `955`, `958`, `960`, `961`, `962`, `964`, `965`, `966`, `968`, `970`, `972`, `974`, `976`, `977`, `979`, `980`, `982`, `983`, `985`, `986`, `988`, `989`, `990`, `991`, `993`, `995`, `997`, `998`, `999`, `1001`, `1002`, `1003`, `1006`, `1007`, `1012`, `1013`, `1014`, `1015`, `1016`, `1019`, `1020`, `1021`, `1022`, `1023`, `1025`, `1027`, `1029`, `1031`, `1032`, `1033`, `1036`, `1038`, `1040`, `1043`, `1044`, `1045`, `1046`, `1048`, `1050`, `1052`, `1053`, `1055`, `1057`, `1058`, `1061`, `1062`, `1064`, `1067`, `1069`, `1071`, `1074`, `1076`, `1078`, `1080`, `1083`, `1085`, `1086`, `1089`, `1090`, `1091`, `1094`, `1097`, `1098`, `1099`, `1103`, `1104`, `1106`, `1107`, `1108`, `1109`, `1110`, `1112`, `1114`, `1117`, `1118`, `1120`, `1122`, `1124`, `1125`, `1127`, `1128`, `1129`, `1132`, `1133`, `1136`, `1138`, `1139`, `1141`, `1144`, `1145`, `1147`, `1150`, `1152`, `1154`, `1155`, `1156`, `1157`, `1159`, `1161`, `1162`, `1163`, `1165`, `1166`, `1167`, `1168`, `1169`, `1171`, `1174`, `1176`, `1178`, `1179`, `1180`, `1184`, `1186`, `1187`, `1189`, `1190`, `1192`, `1193`, `1195`, `1196`, `1198`, `1201`, `1203`, `1204`, `1207`, `1210`, `1212`, `1214`, `1215`, `1216`, `1217`, `1218`, `1219`, `1222`, `1223`, `1224`, `1226`, `1227`, `1230`, `1231`, `1232`, `1233`, `1234`, `1235`, `1236`, `1238`, `1239`, `1242`, `1243`, `1244`, `1245`, `1247`, `1249`, `1250`, `1252`, `1254`, `1255`, `1256`, `1258`, `1259`, `1261`, `1262`, `1268`, `1269`, `1270`, `1271`, `1272`, `1274`, `1275`, `1277`, `1278`, `1279`, `1281`, `1282`, `1285`, `1287`, `1288`, `1289`, `1290`, `1291`, `1292`, `1295`, `1297`, `1298`, `1299`, `1300`, `1301`, `1302`, `1303`, `1304`, `1305`, `1306`, `1307`, `1312`, `1313`, `1314`, `1316`, `1317`, `1318`, `1319`, `1320`, `1315`, `1321`, `1323`, `1324`, `1325`, `1326`, `1327`, `1329`, `1337`, `1338`, `1339`, `1343`, `1344`, `1346`, `1347`, `1350`, `1351`, `1353`, `1354`, `1355`, `1358`, `1360`, `1361`, `1362`, `1365`, `1366`, `1367`, `1368`, `1369`, `1370`, `1371`, `1372`, `1373`, `1374`, `1376`, `1377`, `1379`, `1380`, `1381`, `1382`, `1384`, `1385`, `1386`, `1387`, `1389`, `1390`, `1391`, `1392`, `1393`, `1394`, `1395`, `1396`, `1400`, `1401`, `1404`, `1405`, `1406`, `1409`, `1410`, `1411`, `1413`, `1414`, `1416`, `1417`, `1418`, `1419`, `1421`, `1424`, `1425`, `1426`, `1427`, `1428`, `1430`, `1431`, `1434`, `1435`, `1436`, `1438`, `1440`, `1442`, `1443`, `1444`, `1445`, `1448`, `1449`, `1450`, `1451`, `1453`, `1454`, `1455`, `1456`, `1458`, `1459`, `1460`, `1463`, `1464`, `1466`, `1467`, `1468`, `1469`, `1470`, `1471`, `1472`, `1473`, `1474`, `1475`, `1476`, `1479`, `1480`, `1482`, `1483`, `1485`, `1487`, `1488`, `1490`, `1491`, `1492`, `1493`, `1495`, `1501`, `1504`, `1506`, `1508`, `1510`, `1512`, `1513`, `1514`, `1515`, `1516`, `1517`, `1518`, `1519`, `1520`, `1523`, `1524`, `1527`, `1530`, `1532`, `1533`, `1534`, `1536`, `1537`, `1538`, `1539`, `1540`, `1542`, `1544`, `1545`, `1546`, `1547`, `1548`, `1549`, `1550`, `1552`, `1554`, `1555`, `1556`, `1557`, `1558`, `1560`, `1563`, `1564`, `1565`, `1566`, `1567`, `1568`, `1569`, `1570`, `1572`, `1573`, `1575`, `1577`, `1578`, `1579`, `1582`, `1584`, `1585`, `1586`, `1587`, `1588`, `1589`, `1590`, `1591`, `1593`, `1594`, `1595`, `1597`, `1598`, `1600`, `1601`, `1602`, `1604`, `1605`, `1606`, `1607`, `1608`, `1610`, `1611`, `1612`, `1616`, `1617`, `1618`, `1619`, `1620`, `1621`, `1622`, `1623`, `1627`, `1628`, `1629`, `1631`, `1639`, `1641`, `1642`, `1643`, `1649`, `1650`, `1652`, `1653`, `1654`, `1656`, `1657`, `1659`, `1660`, `1661`, `1663`, `1667`, `1668`, `1669`, `1670`, `1671`, `1673`, `1675`, `1676`, `1678`, `1679`, `1681`, `1682`, `1684`, `1685`, `1686`, `1687`, `1688`, `1689`, `1690`, `1691`, `1692`, `1694`, `1695`, `1696`, `1697`, `1698`, `1700`, `1702`, `1703`, `1705`, `1706`, `1707`, `1708`, `1709`, `1710`, `1712`, `1713`, `1717`, `1718`, `1719`, `1720`, `1721`, `1725`, `1726`, `1728`, `1729`, `1730`, `1731`, `1733`, `1734`, `1735`, `1738`, `1740`, `1741`, `1742`, `1743`, `1744`, `1747`, `1749`, `1751`, `1754`, `1756`, `1757`, `1758`, `1760`, `1761`, `1762`, `1765`, `1768`, `1771`, `1772`, `1774`, `1775`, `1776`, `1777`, `1778`, `1779`, `1780`, `1781`, `1782`, `1783`, `1785`, `1787`, `1788`, `1790`, `1793`, `1794`, `1795`, `1798`, `1800`, `1801`, `1802`, `1803`, `1805`, `1806`, `1807`, `1808`, `1809`, `1810`, `1816`, `1817`, `1818`, `1819`, `1820`, `1821`, `1822`, `1823`, `1825`, `1826`, `1828`, `1829`, `1830`, `1831`, `1832`, `1833`, `1835`, `1841`, `1842`, `1843`, `1844`, `1846`, `1847`, `1849`, `1850`, `1851`, `1852`, `1853`, `1854`, `1855`, `1856`, `1857`, `1858`, `1859`, `1860`, `1861`, `1863`, `1865`, `1866`, `1867`, `1870`, `1872`, `1873`, `1874`, `1875`, `1876`, `1879`, `1880`, `1881`, `1882`, `1883`, `1884`, `1886`, `1887`, `1888`, `1889`, `1890`, `1891`, `1892`, `1894`, `1896`, `1898`, `1900`, `1901`, `1902`, `1904`, `1905`, `1906`, `1907`, `1910`, `1911`, `1913`, `1914`, `1916`, `1917`, `1919`, `1921`, `1923`, `1924`, `1759`, `1173`, `1925`, `1927`, `1929`, `1930`, `1931`, `1932`, `1933`, `1934`, `1936`, `1938`, `1940`, `1941`, `1942`, `1944`, `1945`, `1946`, `1948`, `1949`, `1951`, `1952`, `1953`, `1954`, `1956`, `1957`, `1958`, `1959`, `1961`, `1962`, `1963`, `1964`, `1965`, `1966`, `1968`, `1969`, `1970`, `1971`, `1972`, `1973`, `1764`, `1974`, `1975`, `1976`, `1977`, `1979`, `1980`, `1981`, `1982`, `1983`, `1984`, `1985`, `1986`, `1987`, `1988`, `1989`, `1990`, `1993`, `1994`, `1995`, `1996`, `1997`, `1998`, `1999`, `2001`, `2002`, `2003`, `2004`, `2005`, `2007`, `2008`, `2009`, `2010`, `2011`, `2012`, `2013`, `2016`, `2018`, `2019`, `2020`, `2021`, `2022`, `2023`, `2024`, `2025`, `2026`, `2028`, `2029`, `2031`, `2033`, `2037`, `2038`, `2039`, `2042`, `2043`, `2045`, `2046`, `2047`, `2048`, `2049`, `2050`, `2051`, `2052`, `2053`, `2055`, `2056`, `2057`, `2059`, `2063`, `2064`, `2065`, `2066`, `2067`, `2068`, `2069`, `2070`, `2071`, `2072`, `602`, `2073`, `2074`, `2075`, `2078`, `2079`, `2080`, `2082`, `2083`, `2084`, `2085`, `2086`, `2087`, `2088`, `2089`, `2090`, `2091`, `2092`, `2093`, `2094`, `2096`, `2098`, `2099`, `2100`, `2101`, `2102`, `2103`, `2105`, `2106`, `2107`, `2108`, `2109`, `2110`, `2112`, `2113`, `2115`, `2116`, `2117`, `2118`, `2119`, `2123`, `2125`, `2126`, `2127`, `2128`, `2130`, `2131`, `2132`, `2133`, `2134`, `2135`, `2136`, `2139`, `2140`, `2141`, `2142`, `2143`, `2144`, `2146`, `2147`, `2148`, `2150`, `2151`, `2152`, `2154`, `2155`, `2156`, `2158`, `2159`, `2160`, `2162`, `2163`, `2164`, `2165`, `2167`, `2168`, `2169`, `2170`, `2171`, `2173`, `2174`, `2175`, `2177`, `2178`, `2179`, `2180`, `2181`, `2183`, `2184`, `2185`, `2187`, `2188`, `2189`, `2190`, `2191`, `2192`, `2193`, `2195`, `2197`, `2198`, `2199`, `2200`, `2201`, `2203`, `2204`, `2205`, `2206`, `2207`, `2209`, `2213`, `2214`, `2215`, `2216`, `2219`, `2220`, `2221`, `2223`, `2225`, `2227`, `2229`, `2230`, `2231`, `2232`, `2235`, `2238`, `2239`, `2241`, `2243`, `2245`, `2246`, `2247`, `2248`, `2249`, `2251`, `2253`, `2254`, `2255`, `2257`, `2260`, `2261`, `2263`, `2264`, `2265`, `2266`, `2267`, `2268`, `2269`, `2270`, `2271`, `2272`, `2273`, `2275`, `2276`, `2277`, `2280`, `2281`, `2282`, `2283`, `2284`, `2285`, `2287`, `2289`, `2291`, `2293`, `2294`, `2295`, `2296`, `2297`, `2298`, `2299`, `2300`, `2301`, `2303`, `2305`, `2307`, `2308`, `2309`, `2310`, `2311`, `2313`, `2314`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.79 |
| `TOKEN_P` | 99.78 |
| `TOKEN_R` | 99.80 |
| `TOKEN_ACC` | 99.96 |
| `SENTS_F` | 92.35 |
| `SENTS_P` | 94.94 |
| `SENTS_R` | 89.89 |
| `TAG_ACC` | 96.53 |
| `POS_ACC` | 97.85 |
| `MORPH_ACC` | 97.23 |
| `DEP_UAS` | 92.52 |
| `DEP_LAS` | 86.32 |
| `LEMMA_ACC` | 97.00 |
|
{"language": ["ro"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/ro_udv25_romanianrrt_trf
| null |
[
"spacy",
"token-classification",
"ro",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Russian-GSD
| Feature | Description |
| --- | --- |
| **Name** | `ru_udv25_russiangsd_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (3014 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `!`, `''`, `'`, `(`, `)`, `,`, `-`, `--`, `.`, `.,`, `/`, `:`, `AFX`, `APOSTROPHE`, `AWP`, `CC`, `CD`, `DT`, `FW`, `IN`, `JJ`, `JJH`, `JJL`, `JJR`, `JJRL`, `JJS`, `NEG`, `NFP`, `NN`, `NNP`, `ORD`, `PRED`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `UH`, `VB`, `VBC`, `VBG`, `VBNH`, `VBNL`, `WDT`, `WP`, `WRB`, `X`, ```` |
| **`morphologizer`** | `POS=ADP`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `POS=CCONJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Number=Plur\|POS=DET`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON`, `POS=PART\|Polarity=Neg`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Variant=Short`, `Aspect=Imp\|POS=VERB\|VerbForm=Inf\|Voice=Mid`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Nom\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Card\|POS=NUM`, `Case=Nom\|NumType=Card\|POS=NUM`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET`, `POS=PART`, `Animacy=Inan\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `POS=ADV`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Pos\|POS=ADV`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `Aspect=Imp\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|POS=VERB\|Tense=Pres\|VerbForm=Conv\|Voice=Act`, `Animacy=Anim\|Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|NumType=Card\|POS=NUM`, `Aspect=Perf\|POS=VERB\|Tense=Past\|VerbForm=Conv\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Loc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `POS=DET`, `Animacy=Inan\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NUM`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Degree=Pos\|Number=Plur\|POS=ADJ\|Variant=Short`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|POS=VERB\|VerbForm=Inf\|Voice=Mid`, `Case=Loc\|Number=Plur\|POS=DET`, `Animacy=Inan\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Aspect=Imp\|Case=Dat\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Perf\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Number=Plur\|POS=PRON`, `POS=SYM`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON`, `Case=Nom\|Number=Plur\|POS=DET`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET`, `Animacy=Anim\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Mid`, `Case=Gen\|Number=Plur\|POS=DET`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Aspect=Perf\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET`, `Foreign=Yes\|POS=X`, `Animacy=Inan\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET`, `Animacy=Anim\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Anim\|Case=Nom\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Case=Acc\|NumType=Card\|POS=NUM`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1`, `Animacy=Inan\|Case=Acc\|Number=Plur\|POS=PRON`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|POS=PRON\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Number=Plur\|POS=DET`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Number=Plur\|POS=DET`, `Animacy=Anim\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Variant=Short`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Anim\|Aspect=Perf\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET`, `Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Variant=Short`, `Degree=Cmp\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|POS=PRON\|Reflex=Yes`, `Animacy=Inan\|Case=Nom\|Number=Plur\|POS=PRON`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Degree=Pos\|POS=VERB`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Imp\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Ins\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Case=Nom\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|POS=PRON\|Reflex=Yes`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|NumType=Card\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON`, `Case=Ins\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Variant=Short`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Number=Plur\|POS=PRON`, `Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Dat\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Dat\|NumType=Card\|POS=NUM`, `POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Variant=Short`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON`, `POS=NOUN`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Mid`, `POS=X`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `Abbr=Yes\|POS=PROPN`, `Animacy=Inan\|Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Nom\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Imp\|Case=Dat\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Mid`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Degree=Sup\|POS=ADV`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Dat\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2`, `Case=Dat\|POS=PRON\|Reflex=Yes`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Foreign=Yes\|POS=NOUN`, `POS=PROPN`, `Animacy=Inan\|Case=Acc\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Loc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1`, `Animacy=Inan\|Case=Acc\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|POS=AUX\|VerbForm=Inf`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Ins\|Number=Plur\|POS=PRON`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON`, `Aspect=Imp\|POS=AUX\|VerbForm=Conv`, `Animacy=Anim\|Aspect=Imp\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `POS=AUX`, `Case=Dat\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Number=Plur\|POS=PRON`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Case=Dat\|Number=Plur\|POS=PRON`, `Animacy=Anim\|Case=Ins\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|NumType=Card\|POS=NUM`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON`, `Animacy=Anim\|Case=Dat\|Number=Plur\|POS=PRON`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Perf\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Animacy=Anim\|Case=Dat\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|POS=VERB\|VerbForm=Conv`, `Animacy=Inan\|Case=Acc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|POS=ADV`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Gen\|Gender=Neut\|NumType=Card\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Number=Sing\|POS=PRON\|Person=1`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PART`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON`, `Animacy=Anim\|Case=Acc\|Number=Plur\|POS=DET`, `Animacy=Inan\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Ins\|Gender=Neut\|NumType=Card\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Loc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Loc\|NumType=Card\|POS=NUM`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ\|Variant=Short`, `Animacy=Anim\|Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Perf\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|POS=NOUN`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Anim\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Fem\|NumType=Card\|POS=NUM`, `Case=Gen\|POS=PRON\|Reflex=Yes`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|Variant=Short\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Case=Ins\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Dat\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Animacy=Anim\|Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=VERB`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Number=Plur\|POS=PRON`, `Animacy=Inan\|Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET`, `Animacy=Anim\|Aspect=Perf\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Loc\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Loc\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Aspect=Perf\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON`, `Animacy=Anim\|Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Nom\|NumType=Card\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON`, `Animacy=Anim\|Aspect=Perf\|Case=Dat\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Aspect=Imp\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Perf\|Case=Loc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Perf\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Dat\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Case=Ins\|Number=Plur\|POS=PRON`, `Animacy=Anim\|Aspect=Perf\|Case=Ins\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Imp\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Foreign=Yes\|POS=PROPN`, `Animacy=Inan\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Loc\|Gender=Neut\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Aspect=Perf\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Case=Gen\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Fem\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Perf\|Case=Dat\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Degree=Cmp\|NumType=Card\|POS=NUM`, `Animacy=Inan\|Aspect=Perf\|Case=Loc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Aspect=Imp\|Case=Gen\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|NumType=Card\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON`, `Animacy=Inan\|Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Nom\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1`, `Animacy=Inan\|Case=Par\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Mid`, `Animacy=Inan\|Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Aspect=Imp\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Ins\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|NumType=Card\|POS=SYM`, `Animacy=Anim\|Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|POS=VERB\|Tense=Pres\|VerbForm=Conv\|Voice=Mid`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Nom\|NumType=Card\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Number=Sing\|POS=PRON\|Person=2`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2`, `Animacy=Inan\|Aspect=Imp\|Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Animacy=Inan\|Aspect=Imp\|Case=Acc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|POS=DET` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `dep`, `det`, `expl`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `goeswith`, `iobj`, `list`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `nummod:entity`, `nummod:gov`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `12`, `14`, `16`, `19`, `21`, `23`, `27`, `29`, `31`, `35`, `37`, `39`, `42`, `45`, `49`, `50`, `53`, `55`, `59`, `61`, `62`, `64`, `66`, `68`, `70`, `72`, `75`, `77`, `78`, `81`, `83`, `85`, `87`, `89`, `91`, `94`, `97`, `99`, `101`, `105`, `106`, `107`, `109`, `110`, `112`, `114`, `116`, `118`, `119`, `121`, `123`, `126`, `128`, `130`, `132`, `133`, `135`, `137`, `139`, `0`, `141`, `145`, `147`, `148`, `150`, `152`, `154`, `156`, `158`, `160`, `162`, `166`, `168`, `169`, `171`, `173`, `175`, `177`, `179`, `181`, `182`, `184`, `186`, `188`, `189`, `192`, `193`, `194`, `195`, `197`, `198`, `199`, `202`, `204`, `205`, `206`, `207`, `208`, `210`, `211`, `213`, `216`, `217`, `219`, `221`, `223`, `224`, `226`, `228`, `229`, `231`, `233`, `234`, `237`, `239`, `241`, `242`, `244`, `245`, `247`, `249`, `251`, `253`, `256`, `257`, `260`, `262`, `264`, `266`, `268`, `270`, `272`, `275`, `277`, `279`, `283`, `287`, `289`, `290`, `293`, `294`, `296`, `298`, `300`, `302`, `305`, `307`, `310`, `313`, `315`, `317`, `319`, `322`, `324`, `326`, `328`, `330`, `332`, `335`, `337`, `339`, `340`, `341`, `345`, `346`, `348`, `350`, `353`, `355`, `357`, `360`, `362`, `364`, `366`, `368`, `370`, `372`, `374`, `376`, `378`, `380`, `381`, `384`, `386`, `388`, `391`, `393`, `395`, `397`, `398`, `400`, `401`, `402`, `404`, `408`, `409`, `410`, `412`, `413`, `415`, `416`, `418`, `420`, `421`, `423`, `424`, `426`, `428`, `430`, `432`, `434`, `436`, `438`, `439`, `441`, `443`, `446`, `449`, `453`, `455`, `457`, `248`, `459`, `460`, `462`, `464`, `465`, `467`, `470`, `472`, `474`, `477`, `479`, `480`, `482`, `484`, `485`, `486`, `489`, `491`, `493`, `496`, `498`, `500`, `502`, `504`, `505`, `506`, `508`, `509`, `512`, `513`, `515`, `517`, `520`, `522`, `524`, `525`, `527`, `529`, `531`, `532`, `533`, `535`, `536`, `540`, `542`, `544`, `546`, `548`, `549`, `551`, `552`, `555`, `276`, `556`, `557`, `559`, `560`, `562`, `564`, `565`, `567`, `569`, `570`, `571`, `572`, `574`, `575`, `577`, `578`, `580`, `582`, `584`, `586`, `589`, `591`, `593`, `595`, `597`, `599`, `601`, `602`, `172`, `604`, `605`, `606`, `608`, `610`, `611`, `612`, `614`, `615`, `76`, `617`, `618`, `619`, `621`, `117`, `623`, `624`, `626`, `628`, `629`, `631`, `635`, `637`, `638`, `639`, `641`, `642`, `644`, `645`, `647`, `648`, `650`, `652`, `654`, `656`, `658`, `659`, `661`, `663`, `665`, `666`, `668`, `669`, `671`, `675`, `677`, `678`, `679`, `681`, `682`, `683`, `686`, `687`, `689`, `691`, `693`, `695`, `697`, `699`, `701`, `22`, `703`, `705`, `707`, `710`, `714`, `716`, `718`, `720`, `723`, `725`, `727`, `729`, `731`, `732`, `734`, `737`, `739`, `740`, `743`, `745`, `747`, `748`, `751`, `753`, `754`, `757`, `758`, `760`, `762`, `764`, `766`, `768`, `770`, `772`, `773`, `775`, `776`, `778`, `779`, `780`, `781`, `782`, `783`, `785`, `787`, `789`, `791`, `793`, `794`, `796`, `797`, `800`, `801`, `802`, `803`, `804`, `806`, `807`, `808`, `809`, `810`, `812`, `816`, `818`, `819`, `821`, `823`, `825`, `826`, `827`, `829`, `833`, `834`, `835`, `836`, `838`, `842`, `843`, `844`, `846`, `848`, `849`, `850`, `852`, `854`, `856`, `858`, `860`, `862`, `864`, `866`, `867`, `868`, `870`, `871`, `873`, `874`, `875`, `878`, `880`, `881`, `883`, `887`, `889`, `890`, `891`, `894`, `895`, `896`, `898`, `900`, `902`, `903`, `904`, `907`, `909`, `910`, `911`, `912`, `914`, `916`, `917`, `918`, `919`, `920`, `924`, `925`, `927`, `928`, `931`, `933`, `934`, `936`, `937`, `935`, `938`, `939`, `942`, `944`, `946`, `948`, `949`, `950`, `951`, `953`, `954`, `956`, `958`, `959`, `960`, `962`, `964`, `966`, `968`, `970`, `972`, `974`, `976`, `978`, `980`, `981`, `982`, `984`, `985`, `987`, `988`, `989`, `990`, `991`, `992`, `993`, `995`, `996`, `997`, `998`, `1000`, `1001`, `1002`, `1004`, `1006`, `1008`, `1010`, `1012`, `1013`, `1016`, `1018`, `1019`, `1021`, `1023`, `1024`, `1025`, `1028`, `1030`, `1031`, `1033`, `1034`, `1036`, `1038`, `1039`, `1040`, `1041`, `1043`, `1045`, `1046`, `1048`, `1052`, `1054`, `1055`, `1056`, `1057`, `1062`, `1064`, `1065`, `1067`, `1069`, `1070`, `1072`, `1073`, `1074`, `1075`, `1076`, `1078`, `1080`, `1081`, `1083`, `1085`, `1087`, `1088`, `1089`, `1091`, `1092`, `1093`, `1094`, `1095`, `1096`, `1097`, `1098`, `1100`, `1102`, `1104`, `1106`, `1108`, `1109`, `1110`, `1111`, `1112`, `1113`, `1116`, `1117`, `1119`, `1121`, `1123`, `1124`, `1125`, `1127`, `1129`, `1132`, `1134`, `1135`, `1138`, `1139`, `1141`, `1143`, `1144`, `1145`, `1146`, `1147`, `1149`, `1152`, `1153`, `1155`, `1156`, `1157`, `1159`, `1161`, `1163`, `1165`, `1166`, `1168`, `1169`, `1172`, `1174`, `1176`, `1177`, `1179`, `1183`, `1184`, `1185`, `1186`, `1188`, `1190`, `1193`, `1195`, `1196`, `1200`, `1203`, `1204`, `1206`, `1207`, `1208`, `1209`, `1211`, `1212`, `1214`, `1216`, `1217`, `1218`, `1219`, `1221`, `1223`, `1224`, `1225`, `1227`, `1228`, `1230`, `1232`, `1234`, `1237`, `1238`, `1239`, `1241`, `1243`, `1244`, `1246`, `1248`, `1249`, `1251`, `1252`, `1255`, `1257`, `1259`, `1261`, `1262`, `1263`, `1265`, `1267`, `1268`, `1269`, `1273`, `1275`, `1277`, `1279`, `1281`, `1283`, `1285`, `1287`, `1289`, `1291`, `1293`, `1295`, `1297`, `1299`, `1302`, `1305`, `1306`, `1309`, `1311`, `1312`, `1313`, `1314`, `1315`, `1317`, `1319`, `1321`, `1322`, `1325`, `1326`, `1328`, `1330`, `1331`, `1333`, `325`, `1334`, `1336`, `1338`, `1339`, `1341`, `1343`, `1346`, `1347`, `1348`, `1349`, `1350`, `1352`, `1353`, `1354`, `1355`, `1357`, `1358`, `1359`, `1361`, `1363`, `1365`, `1368`, `1370`, `1371`, `1372`, `1374`, `1376`, `1377`, `1378`, `1380`, `1382`, `1384`, `1385`, `1386`, `1388`, `1389`, `1391`, `1393`, `1395`, `1396`, `1398`, `1399`, `1402`, `1404`, `1405`, `1120`, `1406`, `1408`, `1409`, `1410`, `1412`, `1413`, `1414`, `1415`, `1417`, `1419`, `1421`, `1423`, `1425`, `1426`, `1427`, `1429`, `1431`, `1433`, `1434`, `1436`, `1438`, `1439`, `1441`, `1443`, `1444`, `1445`, `1447`, `1448`, `1449`, `1450`, `1451`, `1452`, `1454`, `1457`, `1458`, `1459`, `1461`, `1463`, `1465`, `1467`, `1468`, `1469`, `1470`, `1472`, `1475`, `1477`, `1479`, `1480`, `1481`, `1483`, `1484`, `1487`, `1489`, `1491`, `1492`, `1493`, `1496`, `1497`, `1499`, `1501`, `1502`, `1504`, `1506`, `1507`, `1508`, `1509`, `1511`, `1513`, `1515`, `1516`, `1517`, `1518`, `1519`, `1521`, `1522`, `1523`, `1525`, `1527`, `1529`, `1531`, `1532`, `1534`, `1535`, `1536`, `1537`, `1539`, `1541`, `1543`, `1545`, `1546`, `1548`, `1549`, `1550`, `1551`, `1552`, `1553`, `1555`, `1557`, `1558`, `1559`, `1560`, `1562`, `1564`, `1566`, `1567`, `1569`, `1571`, `1573`, `1575`, `1576`, `1578`, `1580`, `1581`, `1582`, `1583`, `1584`, `1585`, `1586`, `1588`, `1590`, `1592`, `1593`, `1595`, `1599`, `1601`, `1602`, `1604`, `1606`, `1610`, `1611`, `1613`, `1614`, `1616`, `1617`, `1618`, `1619`, `1621`, `1623`, `1624`, `1626`, `1628`, `1629`, `1631`, `1632`, `1634`, `1635`, `1636`, `1637`, `1638`, `1640`, `1642`, `1644`, `1646`, `1647`, `1649`, 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`2240`, `2241`, `2242`, `2243`, `2246`, `2247`, `2249`, `2251`, `2252`, `2253`, `2255`, `2256`, `2260`, `2261`, `2263`, `2265`, `2266`, `2267`, `2268`, `2270`, `2271`, `2273`, `2274`, `2277`, `2278`, `2280`, `2282`, `2284`, `2285`, `2287`, `2288`, `2290`, `2291`, `2292`, `2293`, `2294`, `2295`, `2297`, `2299`, `2301`, `2302`, `2303`, `2305`, `2306`, `2308`, `2310`, `2311`, `2313`, `2314`, `2315`, `2316`, `2317`, `2318`, `2321`, `2322`, `2324`, `2325`, `2327`, `2328`, `2329`, `2331`, `2332`, `2333`, `2335`, `2326`, `2336`, `2337`, `2339`, `2340`, `2342`, `2345`, `180`, `2347`, `2348`, `2349`, `2351`, `2352`, `2353`, `2354`, `2356`, `2357`, `2358`, `2360`, `2362`, `2364`, `2366`, `2368`, `2370`, `2372`, `2376`, `2377`, `2378`, `2380`, `2382`, `2383`, `2384`, `2385`, `2386`, `2388`, `2389`, `2391`, `2392`, `2393`, `2395`, `2397`, `2399`, `2400`, `2401`, `2403`, `2405`, `2406`, `2407`, `2409`, `2411`, `2412`, `2413`, `2414`, `2416`, `2417`, `2418`, `2419`, `2420`, `2421`, `2423`, `2424`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.49 |
| `TOKEN_P` | 99.48 |
| `TOKEN_R` | 99.50 |
| `TOKEN_ACC` | 99.94 |
| `SENTS_F` | 96.05 |
| `SENTS_P` | 95.56 |
| `SENTS_R` | 96.55 |
| `TAG_ACC` | 96.91 |
| `POS_ACC` | 98.25 |
| `MORPH_ACC` | 94.72 |
| `DEP_UAS` | 92.10 |
| `DEP_LAS` | 88.72 |
| `LEMMA_ACC` | 94.45 |
|
{"language": ["ru"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/ru_udv25_russiangsd_trf
| null |
[
"spacy",
"token-classification",
"ru",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Slovak-SNK
| Feature | Description |
| --- | --- |
| **Name** | `sk_udv25_slovaksnk_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (4879 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `#`, `%`, `0`, `?`, `AAfp1x`, `AAfp1x:q`, `AAfp1x:r`, `AAfp1y`, `AAfp1z`, `AAfp2x`, `AAfp2x:r`, `AAfp2y`, `AAfp2z`, `AAfp3x`, `AAfp4x`, `AAfp4y`, `AAfp6x`, `AAfp6x:q`, `AAfp6y`, `AAfp7x`, `AAfs1:r`, `AAfs1x`, `AAfs1x:q`, `AAfs1x:r`, `AAfs1y`, `AAfs1z`, `AAfs2x`, `AAfs2x:q`, `AAfs2x:r`, `AAfs2z`, `AAfs2z:r`, `AAfs3x`, `AAfs3x:r`, `AAfs3y`, `AAfs4x`, `AAfs4x:r`, `AAfs4y`, `AAfs4z`, `AAfs6x`, `AAfs6x:r`, `AAfs6y`, `AAfs7x`, `AAfs7x:r`, `AAfs7z`, `AAip1x`, `AAip1y`, `AAip2x`, `AAip2x:r`, `AAip2y`, `AAip2z`, `AAip3x`, `AAip4x`, `AAip4y`, `AAip4z`, `AAip6x`, `AAip6x:r`, `AAip6z`, `AAip7x`, `AAis1x`, `AAis1x:r`, `AAis1y`, `AAis1z`, `AAis2`, `AAis2x`, `AAis2x:r`, `AAis2y`, `AAis2z`, `AAis3x`, `AAis3x:r`, `AAis3y`, `AAis3z`, `AAis4x`, `AAis4x:r`, `AAis4y`, `AAis4z`, `AAis6x`, `AAis6x:r`, `AAis6z`, `AAis7`, `AAis7x`, `AAis7y`, `AAis7z`, `AAmp1`, `AAmp1x`, `AAmp1y`, `AAmp1z`, `AAmp2x`, `AAmp2y`, `AAmp2z`, `AAmp3x`, `AAmp3z`, `AAmp4x`, `AAmp4y`, `AAmp6x`, `AAmp7x`, `AAmp7z`, `AAms1:r`, `AAms1x`, `AAms1x:q`, `AAms1x:r`, `AAms1y`, `AAms1z`, `AAms2x`, `AAms2x:r`, `AAms3x`, `AAms4x`, `AAms4y`, `AAms4z`, `AAms6x`, `AAms7x`, `AAms7x:r`, `AAms7z`, `AAnp1x`, `AAnp1x:r`, `AAnp1y`, `AAnp2x`, `AAnp2z`, `AAnp3x`, `AAnp4x`, `AAnp4z`, `AAnp6x`, `AAnp7x`, `AAns1x`, `AAns1x:r`, `AAns1y`, `AAns1z`, `AAns2:r`, `AAns2x`, `AAns2x:r`, `AAns2y`, `AAns3x`, `AAns3y`, `AAns4x`, `AAns4x:q`, `AAns4x:r`, `AAns4y`, `AAns4z`, `AAns6x`, `AAns6x:r`, `AAns6y`, `AAns7x`, `AAns7z`, `AAop2x`, `AFfp1x:r`, `AFfp2x`, `AFfp2x:r`, `AFfp3x`, `AFfp4:r`, `AFfp4x`, `AFfp4x:r`, `AFfs1:r`, `AFfs1x`, `AFfs1x:r`, `AFfs2x`, `AFfs2x:r`, `AFfs3x:r`, `AFfs4x`, `AFfs4x:r`, `AFfs6x`, `AFfs6x:r`, `AFfs7x`, `AFfs7x:r`, `AFip1x`, `AFip1x:r`, `AFip2x:r`, `AFip4x`, `AFip4x:r`, `AFip6x:r`, `AFip7x:r`, `AFis1x`, `AFis1x:r`, `AFis2x:r`, `AFis4x`, `AFis4x:r`, `AFis6x:r`, `AFis7x`, `AFis7x:r`, `AFmp1x:r`, `AFmp1y`, `AFmp2x`, `AFmp3x:r`, `AFmp4x:r`, `AFmp7x`, `AFms1x`, `AFms1x:r`, `AFms2x`, `AFms2x:r`, `AFms4x`, 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`SSmp4`, `SSmp4:r`, `SSmp5`, `SSmp6`, `SSmp7`, `SSmp7:q`, `SSmp7:r`, `SSms1`, `SSms1:q`, `SSms1:r`, `SSms1:r:q`, `SSms1:rq`, `SSms2`, `SSms2:r`, `SSms2:rq`, `SSms3`, `SSms3:r`, `SSms4`, `SSms4:r`, `SSms5`, `SSms5:r`, `SSms6`, `SSms6:r`, `SSms7`, `SSms7:r`, `SSnp1`, `SSnp1:r`, `SSnp2`, `SSnp3`, `SSnp4`, `SSnp6`, `SSnp7`, `SSns1`, `SSns1:r`, `SSns2`, `SSns2:r`, `SSns3`, `SSns4`, `SSns4:r`, `SSns6`, `SSns6:r`, `SSns7`, `SSns7:r`, `SUfs1`, `SUfs1:r`, `SUfs2`, `SUfs2:r`, `SUfs3:r`, `SUfs4`, `SUfs4:r`, `SUfs6:r`, `SUfs7:r`, `SUis1:r`, `SUms1:r`, `SUms2:r`, `SUms4:r`, `SUms7:r`, `SUnp1:r`, `SUnp4`, `SUns1`, `SUns1:r`, `SUns4`, `SUns6`, `SUns6:r`, `SUns7:r`, `Ssfs1:r`, `T`, `T:q`, `TY`, `VBdsb-`, `VBdsc+`, `VBepa+`, `VBepa-`, `VBepb+`, `VBepb-`, `VBepc+`, `VBepc-`, `VBesa+`, `VBesa-`, `VBesb+`, `VBesb-`, `VBesc+`, `VBesc-`, `VHd+`, `VHe+`, `VHe-`, `VId+`, `VId-`, `VIe+`, `VIe+:q`, `VIe-`, `VIj+`, `VKdpa+`, `VKdpa-`, `VKdpb+`, `VKdpb-`, `VKdpb-:q`, `VKdpc+`, `VKdpc+:q`, `VKdpc-`, `VKdsa+`, `VKdsa+:q`, `VKdsa-`, `VKdsb+`, `VKdsb-`, `VKdsc+`, `VKdsc-`, `VKepa+`, `VKepa-`, `VKepa-:q`, `VKepb+`, `VKepb-`, `VKepc+`, `VKepc+:q`, `VKepc-`, `VKesa+`, `VKesa-`, `VKesb+`, `VKesb-`, `VKesc+`, `VKesc-`, `VKjpa+`, `VKjpb+`, `VKjpb-`, `VKjpc+`, `VKjpc-`, `VKjsa+`, `VKjsa-`, `VKjsb+`, `VKjsc+`, `VKjsc-`, `VLdpah+`, `VLdpah-`, `VLdpbh+`, `VLdpbh-`, `VLdpbm+`, `VLdpbm-`, `VLdpc+`, `VLdpcf+`, `VLdpcf+:q`, `VLdpcf-`, `VLdpci+`, `VLdpci+:q`, `VLdpci-`, `VLdpcm+`, `VLdpcm+:q`, `VLdpcm-`, `VLdpcn+`, `VLdpcn-`, `VLdpco+`, `VLdpco+:q`, `VLdpco-`, `VLdsaf+`, `VLdsaf+:q`, `VLdsaf-`, `VLdsam+`, `VLdsam-`, `VLdsbf+`, `VLdsbf-`, `VLdsbm+`, `VLdsbm-`, `VLdsc+`, `VLdscf+`, `VLdscf-`, `VLdsci+`, `VLdsci-`, `VLdscm+`, `VLdscm-`, `VLdscn+`, `VLdscn+:q`, `VLdscn-`, `VLepah+`, `VLepah-`, `VLepam+`, `VLepam-`, `VLepbh+`, `VLepbh-`, `VLepbh-:q`, `VLepbm+`, `VLepcf+`, `VLepcf-`, `VLepci+`, `VLepci+:q`, `VLepci-`, `VLepcm+`, `VLepcm-`, `VLepcn+`, `VLepcn-`, `VLepco+`, `VLepco-`, `VLesaf+`, `VLesaf-`, `VLesam+`, `VLesam-`, `VLesbf+`, `VLesbf-`, `VLesbm+`, `VLesbm-`, `VLesc+`, `VLesc-`, `VLescf+`, `VLescf-`, `VLesci+`, `VLesci-`, `VLescm+`, `VLescm+:q`, `VLescm-`, `VLescm-:q`, `VLescn+`, `VLescn-`, `VLjpah+`, `VLjpbh+`, `VLjpcf+`, `VLjpci+`, `VLjpcm+`, `VLjpco+`, `VLjsaf+`, `VLjsaf-`, `VLjsam+`, `VLjsam-`, `VLjscf+`, `VLjscf-`, `VLjsci+`, `VLjsci-`, `VLjscm+`, `VLjscm-`, `VLjscn+`, `VLjscn-`, `VMdpa+`, `VMdpa-`, `VMdpb+`, `VMdpb+:r`, `VMdpb-`, `VMdsb+`, `VMdsb-`, `VMepa+`, `VMepa-`, `VMepb+`, `VMepb-`, `VMepc-`, `VMesb+`, `VMesb-`, `VMjpb+`, `VMjsb+`, `Vje+`, `W`, `Wms1`, `Y`, `Z`, `ZIP` |
| **`morphologizer`** | `POS=ADV\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `POS=PUNCT`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=PART`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Cnd\|POS=SCONJ`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|Case=Loc\|POS=ADP`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `POS=ADV\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Foreign=Yes\|POS=X`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `AdpType=Preppron\|Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `POS=CCONJ`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Voc\|Case=Loc\|POS=ADP`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `POS=SCONJ`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `AdpType=Prep\|Case=Ins\|POS=ADP`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `AdpType=Voc\|Case=Gen\|POS=ADP`, `NumForm=Digit\|POS=NUM`, `Hyph=Yes\|POS=X`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `AdpType=Voc\|Case=Dat\|POS=ADP`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NUM`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Abbr=Yes\|POS=PROPN`, `Aspect=Imp\|POS=VERB\|Polarity=Neg\|VerbForm=Inf`, `Mood=Cnd\|POS=AUX`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Degree=Cmp\|POS=ADV`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Gender=Neut\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=X`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|POS=VERB\|Polarity=Neg\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem\|Typo=Yes`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `POS=INTJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `AdpType=Prep\|Case=Loc\|POS=ADP\|Typo=Yes`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|POS=ADV\|Typo=Yes`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=ADV\|PronType=Neg`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp,Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=ADV\|PronType=Ind`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp,Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|POS=AUX\|Polarity=Pos\|VerbForm=Inf`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Sup\|POS=ADV`, `Aspect=Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `AdpType=Voc\|Case=Ins\|POS=ADP`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Nom\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Hyph=Yes\|POS=ADV`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=ADV\|PronType=Tot`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `NumType=Mult\|POS=ADV`, `Case=Dat\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `AdpType=Preppron\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Abbr=Yes\|POS=ADV`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Case=Gen\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `AdpType=Prep\|Case=Ins\|POS=ADP\|Typo=Yes`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN`, `POS=CCONJ\|Typo=Yes`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `AdpType=Prep\|Case=Gen\|POS=ADP\|Typo=Yes`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Dat\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `POS=PRON\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `AdpType=Voc\|Case=Ins\|POS=ADP\|Typo=Yes`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NUM`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Ins\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `AdpType=Preppron\|Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADV`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `POS=NUM`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Ins\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp,Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Aspect=Imp,Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Aspect=Imp\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NUM`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Cnd\|POS=PART`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADV`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Prs`, `AdpType=Preppron\|Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `NumType=Mult\|POS=ADV\|PronType=Ind`, `Aspect=Imp,Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Aspect=Imp\|POS=VERB\|Polarity=Pos\|Typo=Yes\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Neg`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Voc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Ins\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `ConjType=Oper\|POS=SYM`, `POS=SYM`, `Case=Dat\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|Typo=Yes`, `POS=DET\|PronType=Dem`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NUM`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADV`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=X`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `AdpType=Prep\|Case=Acc\|POS=ADP\|Typo=Yes`, `Animacy=Inan\|Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `AdpType=Voc\|Case=Acc\|POS=ADP`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Neut\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `AdpType=Preppron\|Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=ADV`, `Aspect=Imp\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `POS=PART\|Typo=Yes`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `NumType=Mult\|POS=ADV\|PronType=Int,Rel`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `NumType=Card\|POS=DET\|PronType=Dem`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `AdpType=Preppron\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Dat\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADV`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|POS=VERB\|Polarity=Pos`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `advmod:emph`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `det:numgov`, `discourse`, `expl:pass`, `expl:pv`, `fixed`, `flat`, `flat:foreign`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:arg`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `11`, `13`, `14`, `16`, `17`, `19`, `20`, `23`, `25`, `27`, `29`, `32`, `34`, `36`, `40`, `42`, `44`, `46`, `48`, `50`, `52`, `54`, `55`, `57`, `59`, `61`, `64`, `66`, `67`, `71`, `73`, `74`, `75`, `77`, `79`, `81`, `83`, `86`, `87`, `89`, `91`, `95`, `97`, `99`, `102`, `12`, `104`, `106`, `108`, `110`, `112`, `114`, `116`, `117`, `119`, `121`, `123`, `125`, `127`, `129`, `131`, `133`, `136`, `138`, `141`, `143`, `146`, `150`, `151`, `153`, `156`, `157`, `159`, `160`, `162`, `163`, `165`, `167`, `168`, `170`, `173`, `174`, `176`, `178`, `180`, `181`, `182`, `183`, `185`, `187`, `190`, `191`, `193`, `195`, `28`, `198`, `200`, `202`, `204`, `206`, `209`, `210`, `212`, `213`, `216`, `219`, `220`, `222`, `223`, `225`, `228`, `230`, `232`, `235`, `237`, `238`, `240`, `241`, `242`, `243`, `244`, `247`, `249`, `251`, `252`, `255`, `257`, `258`, `260`, `262`, `264`, `266`, `267`, `269`, `270`, `271`, `272`, `62`, `274`, `275`, `277`, `278`, `279`, `280`, `281`, `282`, `284`, `286`, `287`, `31`, `289`, `290`, `291`, `293`, `294`, `295`, `297`, `299`, `300`, `301`, `303`, `304`, `305`, `306`, `307`, `308`, `309`, `310`, `312`, `313`, `314`, `315`, `318`, `319`, `321`, `323`, `324`, `326`, `328`, `330`, `331`, `333`, `334`, `335`, `336`, `337`, `338`, `339`, `341`, `343`, `345`, `346`, `348`, `349`, `350`, `351`, `352`, `353`, `354`, `357`, `359`, `360`, `361`, `362`, `364`, `366`, `368`, `369`, `370`, `372`, `373`, `374`, `375`, `376`, `377`, `378`, `379`, `380`, `381`, `382`, `384`, `385`, `386`, `387`, `388`, `389`, `391`, `394`, `397`, `398`, `399`, `401`, `402`, `403`, `404`, `405`, `406`, `407`, `408`, `409`, `410`, `412`, `413`, `415`, `417`, `418`, `420`, `422`, `423`, `424`, `427`, `428`, `430`, `432`, `433`, `434`, `435`, `436`, `439`, `440`, `441`, `442`, `443`, `444`, `445`, `447`, `449`, `452`, `454`, `456`, `457`, `458`, `459`, `460`, `461`, `462`, `464`, `465`, `466`, `468`, `469`, `471`, `473`, `474`, `476`, `478`, `480`, `481`, `482`, `483`, `486`, `488`, `489`, `490`, `491`, `492`, `493`, `495`, `496`, `497`, `256`, `498`, `499`, `500`, `501`, `502`, `503`, `504`, `505`, `506`, `507`, `508`, `509`, `510`, `512`, `513`, `514`, `515`, `516`, `517`, `518`, `519`, `520`, `521`, `522`, `523`, `524`, `525`, `0`, `526`, `528`, `529`, `530`, `533`, `534`, `536`, `537`, `538`, `539`, `540`, `541`, `542`, `543`, `544`, `545`, `547`, `548`, `549`, `550`, `552`, `553`, `554`, `555`, `557`, `558`, `559`, `561`, `563`, `564`, `565`, `566`, `567`, `568`, `569`, `570`, `571`, `572`, `573`, `574`, `575`, `576`, `577`, `578`, `579`, `580`, `581`, `583`, `584`, `586`, `587`, `588`, `589`, `590`, `591`, `592`, `594`, `596`, `597`, `599`, `601`, `603`, `605`, `607`, `609`, `612`, `614`, `616`, `618`, `619`, `41`, `621`, `623`, `625`, `626`, `627`, `628`, `630`, `633`, `634`, `636`, `640`, `641`, `643`, `644`, `646`, `647`, `649`, `651`, `653`, `655`, `657`, `659`, `661`, `663`, `665`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 92.13 |
| `SENTS_P` | 92.08 |
| `SENTS_R` | 92.17 |
| `TAG_ACC` | 91.20 |
| `POS_ACC` | 97.20 |
| `MORPH_ACC` | 93.90 |
| `DEP_UAS` | 94.14 |
| `DEP_LAS` | 90.95 |
| `LEMMA_ACC` | 91.74 |
|
{"language": ["sk"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/sk_udv25_slovaksnk_trf
| null |
[
"spacy",
"token-classification",
"sk",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Serbian-SET
| Feature | Description |
| --- | --- |
| **Name** | `sr_udv25_serbianset_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (2603 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `Agcfpay`, `Agcfpgy`, `Agcfpiy`, `Agcfply`, `Agcfpny`, `Agcfsay`, `Agcfsdy`, `Agcfsgy`, `Agcfsiy`, `Agcfsly`, `Agcfsny`, `Agcmpay`, `Agcmpgy`, `Agcmpiy`, `Agcmpny`, `Agcmsayn`, `Agcmsdy`, `Agcmsgy`, `Agcmsiy`, `Agcmsly`, `Agcmsny`, `Agcnply`, `Agcnpny`, `Agcnsay`, `Agcnsdy`, `Agcnsgy`, `Agcnsiy`, `Agcnsly`, `Agcnsny`, `Agpfpay`, `Agpfpdy`, `Agpfpgy`, `Agpfpiy`, `Agpfply`, `Agpfpny`, `Agpfsay`, `Agpfsdy`, `Agpfsgy`, `Agpfsiy`, `Agpfsly`, `Agpfsny`, `Agpmpay`, `Agpmpdy`, `Agpmpgy`, `Agpmpiy`, `Agpmply`, `Agpmpny`, `Agpmsann`, `Agpmsayn`, `Agpmsayy`, `Agpmsdy`, `Agpmsgn`, `Agpmsgy`, `Agpmsiy`, `Agpmsly`, `Agpmsnn`, `Agpmsny`, `Agpnpay`, `Agpnpdy`, `Agpnpgy`, `Agpnpiy`, `Agpnply`, `Agpnpny`, `Agpnsay`, `Agpnsdy`, `Agpnsgn`, `Agpnsgy`, `Agpnsiy`, `Agpnsly`, `Agpnsny`, `Agsfpay`, `Agsfpgy`, `Agsfpiy`, `Agsfpny`, `Agsfsay`, `Agsfsgy`, `Agsfsiy`, `Agsfsny`, `Agsmpay`, `Agsmpdy`, `Agsmpgy`, `Agsmply`, `Agsmpny`, `Agsmsayn`, `Agsmsayy`, `Agsmsgy`, `Agsmsiy`, `Agsmsly`, `Agsmsny`, `Agsnpay`, `Agsnpgy`, `Agsnpny`, `Agsnsgy`, `Agsnsiy`, `Agsnsny`, `Appfpay`, `Appfpdy`, `Appfpgy`, `Appfpiy`, `Appfply`, `Appfpny`, `Appfsay`, `Appfsgy`, `Appfsiy`, `Appfsly`, `Appfsny`, `Appmpay`, `Appmpgy`, `Appmpiy`, `Appmply`, `Appmpny`, `Appmsann`, `Appmsayn`, `Appmsayy`, `Appmsdy`, `Appmsgy`, `Appmsiy`, `Appmsly`, `Appmsnn`, `Appmsny`, `Appnpay`, `Appnpgy`, `Appnpiy`, `Appnpny`, `Appnsay`, `Appnsgy`, `Appnsiy`, `Appnsly`, `Appnsny`, `Aspfpay`, `Aspfpgy`, `Aspfply`, `Aspfpny`, `Aspfsay`, `Aspfsdy`, `Aspfsgy`, `Aspfsiy`, `Aspfsly`, `Aspfsny`, `Aspmpay`, `Aspmpgy`, `Aspmpny`, `Aspmsann`, `Aspmsayy`, `Aspmsdy`, `Aspmsgy`, `Aspmsiy`, `Aspmsly`, `Aspmsnn`, `Aspnpay`, `Aspnsay`, `Aspnsgy`, `Aspnsly`, `Aspnsny`, `Cc`, `Cs`, `I`, `Mdc`, `Mdm`, `Mdo`, `Mds`, `Mlc`, `Mlc--i`, `Mlcf-a`, `Mlcf-g`, `Mlcf-n`, `Mlcfpa`, `Mlcfpg`, `Mlcfsa`, `Mlcfsd`, `Mlcfsg`, `Mlcfsi`, `Mlcfsl`, `Mlcfsn`, `Mlcm-a`, `Mlcm-n`, `Mlcmpn`, `Mlcmsan`, `Mlcmsay`, `Mlcmsd`, `Mlcmsg`, `Mlcmsi`, `Mlcmsl`, `Mlcmsn`, `Mlcn-n`, `Mlcnsa`, `Mlcnsl`, `Mlcnsn`, `Mlofpa`, `Mlofpd`, `Mlofpg`, `Mlofpi`, `Mlofpl`, `Mlofpn`, `Mlofsa`, `Mlofsd`, `Mlofsg`, `Mlofsi`, `Mlofsl`, `Mlofsn`, `Mlompa`, `Mlompd`, `Mlompg`, `Mlompi`, `Mlompl`, `Mlompn`, `Mlomsan`, `Mlomsay`, `Mlomsd`, `Mlomsg`, `Mlomsi`, `Mlomsl`, `Mlomsn`, `Mlonpa`, `Mlonpg`, `Mlonpl`, `Mlonsa`, `Mlonsg`, `Mlonsi`, `Mlonsl`, `Mlonsn`, `Mls`, `Mlsf-a`, `Mlsf-g`, `Mlsf-i`, `Mlsf-l`, `Mlsf-n`, `Mlsm-a`, `Mlsm-n`, `Ncfpa`, `Ncfpd`, `Ncfpg`, `Ncfpi`, `Ncfpl`, `Ncfpn`, `Ncfsa`, `Ncfsd`, `Ncfsg`, `Ncfsi`, `Ncfsl`, `Ncfsn`, `Ncmpa`, `Ncmpd`, `Ncmpg`, `Ncmpi`, `Ncmpl`, `Ncmpn`, `Ncmsan`, `Ncmsay`, `Ncmsd`, `Ncmsg`, `Ncmsi`, `Ncmsl`, `Ncmsn`, `Ncmsv`, `Ncnpa`, `Ncnpd`, `Ncnpg`, `Ncnpi`, `Ncnpl`, `Ncnpn`, `Ncnsa`, `Ncnsd`, `Ncnsg`, `Ncnsi`, `Ncnsl`, `Ncnsn`, `Npfpd`, `Npfpg`, `Npfpn`, `Npfsa`, `Npfsd`, `Npfsg`, `Npfsi`, `Npfsl`, `Npfsn`, `Npmpa`, `Npmpd`, `Npmpg`, `Npmpi`, `Npmpn`, `Npmsan`, `Npmsay`, `Npmsd`, `Npmsg`, `Npmsi`, `Npmsl`, `Npmsn`, `Npnpn`, `Npnsa`, `Npnsd`, `Npnsg`, `Npnsi`, `Npnsl`, `Npnsn`, `Pd-fpa`, `Pd-fpd`, `Pd-fpg`, `Pd-fpi`, `Pd-fpl`, `Pd-fpn`, `Pd-fsa`, `Pd-fsd`, `Pd-fsg`, `Pd-fsi`, `Pd-fsl`, `Pd-fsn`, `Pd-mpa`, `Pd-mpd`, `Pd-mpg`, `Pd-mpl`, `Pd-mpn`, `Pd-msan`, `Pd-msay`, `Pd-msd`, `Pd-msg`, `Pd-msi`, `Pd-msl`, `Pd-msn`, `Pd-npa`, `Pd-npd`, `Pd-npg`, `Pd-npl`, `Pd-npn`, `Pd-nsa`, `Pd-nsd`, `Pd-nsg`, `Pd-nsi`, `Pd-nsl`, `Pd-nsn`, `Pi--sn`, `Pi-fpa`, `Pi-fpd`, `Pi-fpg`, `Pi-fpi`, `Pi-fpl`, `Pi-fpn`, `Pi-fsa`, `Pi-fsd`, `Pi-fsg`, `Pi-fsi`, `Pi-fsl`, `Pi-fsn`, `Pi-mpa`, `Pi-mpd`, `Pi-mpg`, `Pi-mpi`, `Pi-mpl`, `Pi-mpn`, `Pi-msan`, `Pi-msay`, `Pi-msd`, `Pi-msg`, `Pi-msi`, `Pi-msl`, `Pi-msn`, `Pi-npa`, `Pi-npd`, `Pi-npg`, `Pi-npl`, `Pi-npn`, `Pi-nsa`, `Pi-nsg`, `Pi-nsi`, `Pi-nsl`, `Pi-nsn`, `Pi3m-a`, `Pi3m-d`, `Pi3m-g`, `Pi3m-n`, `Pi3n-a`, `Pi3n-g`, `Pi3n-i`, `Pi3n-l`, `Pi3n-n`, `Pp1-pa`, `Pp1-pd`, `Pp1-pg`, `Pp1-pi`, `Pp1-pl`, `Pp1-pn`, `Pp1-sa`, `Pp1-sd`, `Pp1-sn`, `Pp2-pa`, `Pp2-pd`, `Pp2-pl`, `Pp2-pn`, `Pp3-pa`, `Pp3-pd`, `Pp3-pg`, `Pp3-pi`, `Pp3-pl`, `Pp3fpn`, `Pp3fsa`, `Pp3fsd`, `Pp3fsg`, `Pp3fsi`, `Pp3fsl`, `Pp3fsn`, `Pp3mpn`, `Pp3msa`, `Pp3msd`, `Pp3msg`, `Pp3msi`, `Pp3msl`, `Pp3msn`, `Pp3npn`, `Pp3nsa`, `Pp3nsn`, `Pq-fpa`, `Pq-fsl`, `Pq-fsn`, `Pq-mpn`, `Pq-msn`, `Pq-nsn`, `Pq3n-n`, `Ps1fpa`, `Ps1fpd`, `Ps1fpg`, `Ps1fpn`, `Ps1fsa`, `Ps1fsd`, `Ps1fsg`, `Ps1fsl`, `Ps1fsn`, `Ps1mpa`, `Ps1mpd`, `Ps1mpg`, `Ps1mpl`, `Ps1mpn`, `Ps1msan`, `Ps1msd`, `Ps1msg`, `Ps1msn`, `Ps1nsa`, `Ps1nsg`, `Ps1nsl`, `Ps1nsn`, `Ps2fpl`, `Ps2fpn`, `Ps2msan`, `Ps2nsl`, `Ps2nsn`, `Ps3fpa`, `Ps3fpg`, `Ps3fpl`, `Ps3fpn`, `Ps3fsa`, `Ps3fsd`, `Ps3fsg`, `Ps3fsi`, `Ps3fsl`, `Ps3fsn`, `Ps3mpa`, `Ps3mpd`, `Ps3mpg`, `Ps3mpl`, `Ps3mpn`, `Ps3msan`, `Ps3msd`, `Ps3msg`, `Ps3msi`, `Ps3msl`, `Ps3msn`, `Ps3npa`, `Ps3npg`, `Ps3npl`, `Ps3nsa`, `Ps3nsg`, `Ps3nsl`, `Ps3nsn`, `Px--sa`, `Px--sd`, `Px--sg`, `Px--si`, `Px--sl`, `Px-fpa`, `Px-fpg`, `Px-fpi`, `Px-fpl`, `Px-fsa`, `Px-fsd`, `Px-fsg`, `Px-fsi`, `Px-fsl`, `Px-mpa`, `Px-mpd`, `Px-mpg`, `Px-mpi`, `Px-mpl`, `Px-msan`, `Px-msay`, `Px-msd`, `Px-msg`, `Px-msi`, `Px-msl`, `Px-npa`, `Px-npg`, `Px-npl`, `Px-nsa`, `Px-nsg`, `Qo`, `Qq`, `Qz`, `Rgc`, `Rgp`, `Rgs`, `Rr`, `Sa`, `Sd`, `Sg`, `Si`, `Sl`, `Vaa1p`, `Vaa1s`, `Vaa3p`, `Vaa3s`, `Vaf3p`, `Vaf3s`, `Van`, `Vap-pf`, `Vap-pm`, `Vap-pn`, `Vap-sf`, `Vap-sm`, `Vap-sn`, `Var1p`, `Var1s`, `Var2p`, `Var3p`, `Var3s`, `Vma3s`, `Vmf1p`, `Vmf1s`, `Vmf2p`, `Vmf3p`, `Vmf3s`, `Vmm1p`, `Vmm2p`, `Vmn`, `Vmp-pf`, `Vmp-pm`, `Vmp-pn`, `Vmp-sf`, `Vmp-sm`, `Vmp-sn`, `Vmr1p`, `Vmr1s`, `Vmr2p`, `Vmr3p`, `Vmr3s`, `X`, `Xf`, `Y`, `Z` |
| **`morphologizer`** | `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Loc\|POS=ADP`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=ADP`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `NumType=Card\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `POS=X`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `NumType=Ord\|POS=NUM`, `Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=PART\|Polarity=Neg`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|POS=ADP`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Degree=Pos\|POS=ADV\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `POS=DET`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Degree=Cmp\|POS=ADV`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `POS=VERB\|VerbForm=Inf`, `POS=PART`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADV\|Tense=Past\|VerbForm=Conv`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Gender=Neut\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `POS=AUX\|VerbForm=Inf`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Degree=Pos\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|POS=ADV\|PronType=Neg`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Degree=Cmp\|POS=DET`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Degree=Pos\|POS=ADV\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Ins\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Pos\|POS=ADV\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=ADV`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Loc\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `NumType=Ord\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Masc\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=ADP`, `Degree=Sup\|POS=ADV`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|POS=DET`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Degree=Pos\|POS=ADV\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `POS=ADV\|Tense=Pres\|VerbForm=Conv`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Gender=Neut\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Gender=Neut\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Degree=Pos\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Degree=Sup\|POS=DET`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Tot`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Ins\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Gen\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Pos\|POS=DET\|PronType=Dem`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `POS=SYM`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `POS=INTJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Nom\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Case=Acc\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Case=Gen\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Gen\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Ins\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=DET`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `POS=ADV\|VerbForm=Part`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `det:numgov`, `discourse`, `fixed`, `flat`, `list`, `mark`, `nmod`, `nsubj`, `nummod`, `nummod:gov`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `5`, `7`, `9`, `10`, `12`, `14`, `16`, `17`, `19`, `21`, `23`, `25`, `27`, `29`, `31`, `33`, `35`, `38`, `40`, `41`, `43`, `45`, `47`, `49`, `51`, `53`, `56`, `58`, `60`, `62`, `64`, `66`, `68`, `70`, `73`, `74`, `77`, `80`, `82`, `84`, `86`, `88`, `90`, `92`, `94`, `96`, `98`, `100`, `104`, `105`, `107`, `109`, `111`, `113`, `116`, `118`, `120`, `121`, `124`, `126`, `128`, `130`, `132`, `134`, `136`, `138`, `141`, `143`, `145`, `147`, `150`, `153`, `155`, `157`, `159`, `160`, `162`, `164`, `166`, `167`, `168`, `170`, `172`, `174`, `175`, `176`, `178`, `180`, `182`, `184`, `188`, `190`, `191`, `194`, `196`, `198`, `199`, `201`, `202`, `205`, `207`, `209`, `211`, `214`, `217`, `219`, `221`, `223`, `225`, `227`, `229`, `231`, `233`, `237`, `239`, `241`, `243`, `245`, `83`, `246`, `247`, `249`, `253`, `255`, `258`, `260`, `262`, `263`, `265`, `269`, `271`, `272`, `274`, `275`, `276`, `277`, `278`, `280`, `282`, `283`, `285`, `287`, `289`, `291`, `292`, `293`, `294`, `295`, `297`, `298`, `299`, `301`, `302`, `304`, `306`, `308`, `310`, `312`, `314`, `315`, `317`, `320`, `321`, `323`, `325`, `327`, `328`, `330`, `332`, `333`, `335`, `337`, `338`, `340`, `341`, `342`, `343`, `346`, `250`, `348`, `349`, `350`, `351`, `353`, `354`, `356`, `358`, `360`, `362`, `364`, `365`, `367`, `369`, `371`, `373`, `375`, `376`, `378`, `380`, `382`, `384`, `385`, `386`, `388`, `391`, `395`, `398`, `400`, `402`, `404`, `406`, `409`, `413`, `415`, `419`, `421`, `424`, `426`, `427`, `428`, `429`, `430`, `431`, `432`, `434`, `436`, `438`, `440`, `442`, `444`, `446`, `447`, `449`, `450`, `452`, `454`, `455`, `457`, `459`, `461`, `462`, `463`, `465`, `466`, `468`, `470`, `472`, `474`, `476`, `477`, `478`, `480`, `483`, `485`, `486`, `489`, `491`, `492`, `497`, `498`, `500`, `501`, `502`, `503`, `504`, `507`, `508`, `509`, `510`, `512`, `513`, `515`, `516`, `518`, `519`, `521`, `523`, `524`, `526`, `527`, `529`, `531`, `532`, `533`, `535`, 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`781`, `783`, `784`, `785`, `787`, `789`, `790`, `791`, `792`, `794`, `797`, `798`, `800`, `802`, `803`, `806`, `808`, `811`, `813`, `815`, `817`, `819`, `822`, `825`, `827`, `829`, `831`, `833`, `835`, `836`, `838`, `839`, `842`, `845`, `848`, `850`, `851`, `852`, `853`, `855`, `856`, `858`, `860`, `862`, `864`, `866`, `867`, `868`, `871`, `874`, `875`, `876`, `877`, `878`, `880`, `883`, `884`, `885`, `887`, `889`, `890`, `894`, `895`, `896`, `898`, `899`, `901`, `902`, `903`, `904`, `905`, `908`, `909`, `910`, `911`, `913`, `915`, `916`, `917`, `919`, `920`, `921`, `922`, `923`, `925`, `927`, `928`, `929`, `931`, `932`, `934`, `935`, `937`, `938`, `941`, `943`, `945`, `946`, `947`, `948`, `950`, `951`, `952`, `953`, `954`, `955`, `957`, `959`, `962`, `964`, `965`, `966`, `969`, `971`, `972`, `973`, `975`, `977`, `978`, `980`, `982`, `983`, `985`, `986`, `987`, `989`, `990`, `992`, `994`, `996`, `998`, `999`, `1001`, `1002`, `1005`, `1007`, `1009`, `1012`, `1014`, `1016`, `1018`, 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</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.92 |
| `TOKEN_P` | 99.91 |
| `TOKEN_R` | 99.94 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 98.04 |
| `SENTS_P` | 98.31 |
| `SENTS_R` | 97.76 |
| `TAG_ACC` | 95.86 |
| `POS_ACC` | 98.56 |
| `MORPH_ACC` | 96.05 |
| `DEP_UAS` | 93.72 |
| `DEP_LAS` | 90.25 |
| `LEMMA_ACC` | 95.94 |
|
{"language": ["sr"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/sr_udv25_serbianset_trf
| null |
[
"spacy",
"token-classification",
"sr",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Swedish-Talbanken
| Feature | Description |
| --- | --- |
| **Name** | `sv_udv25_swedishtalbanken_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1206 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `AB`, `AB\|AN`, `AB\|KOM`, `AB\|POS`, `AB\|SMS`, `AB\|SUV`, `DT\|NEU\|SIN\|DEF`, `DT\|NEU\|SIN\|IND`, `DT\|NEU\|SIN\|IND/DEF`, `DT\|UTR/NEU\|PLU\|DEF`, `DT\|UTR/NEU\|PLU\|IND`, `DT\|UTR/NEU\|PLU\|IND/DEF`, `DT\|UTR/NEU\|SIN/PLU\|IND`, `DT\|UTR/NEU\|SIN\|DEF`, `DT\|UTR/NEU\|SIN\|IND`, `DT\|UTR\|SIN\|DEF`, `DT\|UTR\|SIN\|IND`, `DT\|UTR\|SIN\|IND/DEF`, `HA`, `HD\|NEU\|SIN\|IND`, `HD\|UTR/NEU\|PLU\|IND`, `HD\|UTR\|SIN\|IND`, `HP\|-\|-\|-`, `HP\|NEU\|SIN\|IND`, `HP\|UTR/NEU\|PLU\|IND`, `HP\|UTR\|SIN\|IND`, `HS\|DEF`, `IE`, `IN`, `JJ`, `JJ\|AN`, `JJ\|KOM\|UTR/NEU\|SIN/PLU\|IND/DEF\|NOM`, `JJ\|POS\|MAS\|SIN\|DEF\|GEN`, `JJ\|POS\|MAS\|SIN\|DEF\|NOM`, `JJ\|POS\|NEU\|SIN\|IND/DEF\|NOM`, `JJ\|POS\|NEU\|SIN\|IND\|NOM`, `JJ\|POS\|UTR/NEU\|PLU\|IND/DEF\|GEN`, `JJ\|POS\|UTR/NEU\|PLU\|IND/DEF\|NOM`, `JJ\|POS\|UTR/NEU\|PLU\|IND\|NOM`, `JJ\|POS\|UTR/NEU\|SIN/PLU\|IND/DEF\|NOM`, `JJ\|POS\|UTR/NEU\|SIN\|DEF\|NOM`, `JJ\|POS\|UTR\|-\|-\|SMS`, `JJ\|POS\|UTR\|SIN\|IND/DEF\|NOM`, `JJ\|POS\|UTR\|SIN\|IND\|GEN`, `JJ\|POS\|UTR\|SIN\|IND\|NOM`, `JJ\|SUV\|MAS\|SIN\|DEF\|NOM`, `JJ\|SUV\|UTR/NEU\|PLU\|DEF\|NOM`, `JJ\|SUV\|UTR/NEU\|SIN/PLU\|DEF\|NOM`, `JJ\|SUV\|UTR/NEU\|SIN/PLU\|IND\|NOM`, `KN`, `MAD`, `MID`, `NN`, `NN\|-\|-\|-\|-`, `NN\|AN`, `NN\|NEU\|-\|-\|SMS`, `NN\|NEU\|PLU\|DEF\|GEN`, `NN\|NEU\|PLU\|DEF\|NOM`, `NN\|NEU\|PLU\|IND\|GEN`, `NN\|NEU\|PLU\|IND\|NOM`, `NN\|NEU\|SIN\|DEF\|GEN`, `NN\|NEU\|SIN\|DEF\|NOM`, `NN\|NEU\|SIN\|IND`, `NN\|NEU\|SIN\|IND\|GEN`, `NN\|NEU\|SIN\|IND\|NOM`, `NN\|SMS`, `NN\|UTR\|-\|-\|-`, `NN\|UTR\|-\|-\|SMS`, `NN\|UTR\|PLU\|DEF\|GEN`, `NN\|UTR\|PLU\|DEF\|NOM`, `NN\|UTR\|PLU\|IND\|GEN`, `NN\|UTR\|PLU\|IND\|NOM`, `NN\|UTR\|SIN\|DEF\|GEN`, `NN\|UTR\|SIN\|DEF\|NOM`, `NN\|UTR\|SIN\|IND\|GEN`, `NN\|UTR\|SIN\|IND\|NOM`, `PAD`, `PC\|PRF\|NEU\|SIN\|IND\|NOM`, `PC\|PRF\|UTR/NEU\|PLU\|IND/DEF\|GEN`, `PC\|PRF\|UTR/NEU\|PLU\|IND/DEF\|NOM`, `PC\|PRF\|UTR/NEU\|SIN\|DEF\|NOM`, `PC\|PRF\|UTR\|SIN\|IND\|NOM`, `PC\|PRS\|UTR/NEU\|SIN/PLU\|IND/DEF\|NOM`, `PL`, `PM`, `PM\|GEN`, `PM\|NOM`, `PM\|SMS`, `PN\|MAS\|SIN\|DEF\|SUB/OBJ`, `PN\|NEU\|SIN\|DEF`, `PN\|NEU\|SIN\|DEF\|SUB/OBJ`, `PN\|NEU\|SIN\|IND\|SUB/OBJ`, `PN\|UTR/NEU\|PLU\|DEF\|OBJ`, `PN\|UTR/NEU\|PLU\|DEF\|SUB`, `PN\|UTR/NEU\|PLU\|DEF\|SUB/OBJ`, `PN\|UTR/NEU\|PLU\|IND\|SUB/OBJ`, `PN\|UTR/NEU\|SIN/PLU\|DEF\|OBJ`, `PN\|UTR\|PLU\|DEF\|OBJ`, `PN\|UTR\|PLU\|DEF\|SUB`, `PN\|UTR\|SIN\|DEF\|NOM`, `PN\|UTR\|SIN\|DEF\|OBJ`, `PN\|UTR\|SIN\|DEF\|SUB`, `PN\|UTR\|SIN\|DEF\|SUB/OBJ`, `PN\|UTR\|SIN\|IND\|NOM`, `PN\|UTR\|SIN\|IND\|SUB`, `PN\|UTR\|SIN\|IND\|SUB/OBJ`, `PP`, `PS\|NEU\|SIN\|DEF`, `PS\|UTR/NEU\|PLU\|DEF`, `PS\|UTR/NEU\|SIN/PLU\|DEF`, `PS\|UTR\|SIN\|DEF`, `RG\|NEU\|SIN\|IND\|NOM`, `RG\|NOM`, `RG\|SMS`, `RG\|UTR\|SIN\|IND\|NOM`, `RO\|MAS\|SIN\|IND/DEF\|NOM`, `RO\|NOM`, `SN`, `UO`, `VB\|AN`, `VB\|IMP\|AKT`, `VB\|IMP\|SFO`, `VB\|INF\|AKT`, `VB\|INF\|SFO`, `VB\|KON\|PRS\|AKT`, `VB\|KON\|PRT\|AKT`, `VB\|PRS\|AKT`, `VB\|PRS\|SFO`, `VB\|PRT\|AKT`, `VB\|PRT\|SFO`, `VB\|SUP\|AKT`, `VB\|SUP\|SFO` |
| **`morphologizer`** | `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=ADP`, `Case=Nom\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Case=Nom\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=PUNCT`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|POS=ADV`, `POS=SCONJ`, `POS=ADV`, `Case=Nom\|Definite=Ind\|Gender=Com\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Prs`, `Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=CCONJ`, `Definite=Def\|Number=Plur\|POS=DET\|PronType=Art`, `POS=PRON\|PronType=Rel`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `POS=VERB\|VerbForm=Sup\|Voice=Act`, `Case=Nom\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PART\|Polarity=Neg`, `Case=Nom\|Degree=Pos\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Degree=Sup\|POS=ADV`, `Case=Nom\|NumType=Card\|POS=NUM`, `Abbr=Yes\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Sup\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Mood=Imp\|POS=VERB\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Definite=Def\|Number=Plur\|POS=PRON\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=ADJ\|Tense=Past\|VerbForm=Part`, `POS=AUX\|VerbForm=Sup\|Voice=Act`, `Case=Acc\|Definite=Def\|Number=Plur\|POS=PRON\|PronType=Rcp`, `POS=VERB\|VerbForm=Sup\|Voice=Pass`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|POS=ADJ`, `Definite=Ind\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=ADJ\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|POS=DET\|PronType=Ind`, `Case=Nom\|Definite=Def\|Number=Sing\|POS=ADJ\|Tense=Past\|VerbForm=Part`, `Case=Nom\|POS=ADJ\|Tense=Pres\|VerbForm=Part`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Def\|Number=Plur\|POS=PRON\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Number=Plur\|POS=PRON\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=NOUN`, `Case=Nom\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Number=Plur\|POS=PRON\|PronType=Tot`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|POS=PRON\|Poss=Yes\|PronType=Ind`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Gender=Com\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Def\|POS=PRON\|PronType=Prs`, `Definite=Def\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Nom\|POS=PROPN`, `Case=Nom\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Definite=Def\|Gender=Com\|Number=Plur\|POS=PRON\|PronType=Prs`, `Definite=Def\|Number=Plur\|POS=DET\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=ADJ\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Definite=Def\|Gender=Com\|Number=Plur\|POS=PRON\|PronType=Prs`, `Definite=Ind\|Number=Plur\|POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Number=Plur\|POS=PRON\|PronType=Int`, `Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=PROPN`, `POS=PROPN`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Neut\|POS=NOUN`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Number=Plur\|POS=DET\|PronType=Int`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Neg`, `POS=VERB\|VerbForm=Sup`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Foreign=Yes\|POS=NOUN`, `Foreign=Yes\|POS=ADJ`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=SYM`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Definite=Ind\|Degree=Sup\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Neg`, `Mood=Sub\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Degree=Pos\|Gender=Com\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Ind\|POS=DET\|PronType=Prs`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Definite=Def\|POS=PRON\|Poss=Yes\|PronType=Rel`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Def\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Ind`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Prs`, `Abbr=Yes\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Rel`, `NumType=Card\|POS=NUM`, `POS=INTJ`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int`, `Degree=Sup\|POS=ADV\|Polarity=Neg`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Def\|POS=PRON\|Poss=Yes\|PronType=Int`, `POS=ADV\|Polarity=Neg`, `Definite=Ind\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Prs`, `Mood=Imp\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Definite=Def\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Def\|POS=PRON\|PronType=Ind`, `Foreign=Yes\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Prs`, `Definite=Def\|POS=PRON\|Poss=Yes\|PronType=Dem`, `Abbr=Yes\|Mood=Imp\|POS=VERB\|VerbForm=Fin\|Voice=Act`, `Mood=Sub\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Rel`, `Foreign=Yes\|POS=CCONJ`, `POS=DET\|PronType=Art`, `Definite=Ind\|Number=Sing\|POS=DET\|PronType=Prs`, `Definite=Ind\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Acc\|Definite=Def\|Number=Plur\|POS=PRON\|PronType=Tot`, `Definite=Def\|Number=Plur\|POS=PRON\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Definite=Def\|Number=Plur\|POS=PRON\|PronType=Tot`, `Degree=Pos\|POS=ADV\|Polarity=Neg`, `Mood=Sub\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=PRON\|PronType=Ind`, `Definite=Ind\|POS=DET\|PronType=Neg`, `Definite=Ind\|Number=Plur\|POS=PRON\|PronType=Neg`, `POS=CCONJ\|Polarity=Neg`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Number=Plur\|POS=PRON\|PronType=Tot`, `Definite=Def\|Number=Plur\|POS=DET\|PronType=Tot`, `Mood=Imp\|POS=AUX\|VerbForm=Fin\|Voice=Act`, `Foreign=Yes\|POS=ADV`, `Definite=Def\|POS=PRON\|Poss=Yes\|PronType=Rcp`, `Case=Acc\|Definite=Def\|POS=PRON\|Polarity=Neg\|PronType=Ind` |
| **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `dislocated`, `expl`, `fixed`, `flat:name`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `13`, `15`, `17`, `18`, `20`, `22`, `24`, `27`, `30`, `32`, `34`, `37`, `39`, `41`, `43`, `45`, `47`, `50`, `54`, `56`, `60`, `62`, `64`, `66`, `68`, `70`, `72`, `0`, `73`, `76`, `77`, `79`, `81`, `83`, `85`, `87`, `88`, `90`, `92`, `94`, `97`, `99`, `102`, `104`, `105`, `107`, `108`, `109`, `110`, `111`, `112`, `114`, `116`, `117`, `119`, `120`, `122`, `123`, `125`, `126`, `129`, `130`, `131`, `134`, `139`, `140`, `141`, `143`, `146`, `148`, `149`, `151`, `153`, `155`, `157`, `158`, `160`, `162`, `164`, `166`, `167`, `169`, `173`, `176`, `178`, `179`, `181`, `182`, `183`, `184`, `186`, `189`, `193`, `195`, `197`, `198`, `199`, `203`, `204`, `205`, `206`, `207`, `208`, `209`, `210`, `212`, `215`, `217`, `218`, `219`, `222`, `224`, `225`, `227`, `229`, `232`, `233`, `234`, `236`, `238`, `240`, `241`, `243`, `246`, `248`, `249`, `250`, `252`, `255`, `257`, `260`, `262`, `264`, `265`, `266`, `269`, `271`, `274`, `276`, `278`, `279`, `281`, `282`, `285`, `286`, `288`, `290`, `292`, `293`, `295`, `296`, `298`, `300`, `301`, `302`, `303`, `304`, `305`, `306`, `307`, `309`, `311`, `312`, `315`, `316`, `317`, `319`, `322`, `323`, `324`, `326`, `329`, `331`, `333`, `334`, `335`, `337`, `339`, `341`, `342`, `343`, `345`, `347`, `348`, `350`, `351`, `353`, `354`, `356`, `357`, `359`, `360`, `362`, `363`, `365`, `369`, `372`, `374`, `377`, `378`, `380`, `381`, `383`, `384`, `386`, `388`, `389`, `390`, `392`, `395`, `397`, `398`, `399`, `401`, `402`, `403`, `404`, `405`, `406`, `407`, `408`, `410`, `411`, `412`, `413`, `414`, `415`, `418`, `419`, `420`, `421`, `423`, `424`, `425`, `426`, `428`, `430`, `431`, `432`, `433`, `434`, `436`, `440`, `442`, `444`, `446`, `448`, `449`, `453`, `454`, `457`, `458`, `459`, `460`, `462`, `463`, `464`, `466`, `468`, `469`, `471`, `472`, `474`, `475`, `478`, `479`, `480`, `481`, `482`, `483`, `486`, `487`, `488`, `489`, `490`, `492`, `494`, `495`, `498`, `500`, `501`, `502`, `503`, `504`, `506`, `507`, `508`, `509`, `513`, `514`, `516`, `517`, `519`, `520`, `521`, `522`, `523`, `525`, `526`, `528`, `530`, `534`, `536`, `537`, `538`, `539`, `540`, `543`, `545`, `547`, `549`, `550`, `551`, `552`, `554`, `555`, `557`, `559`, `560`, `562`, `565`, `568`, `571`, `574`, `575`, `576`, `577`, `578`, `582`, `583`, `585`, `586`, `588`, `589`, `591`, `592`, `594`, `596`, `598`, `601`, `602`, `604`, `605`, `606`, `607`, `608`, `609`, `610`, `611`, `612`, `613`, `615`, `616`, `617`, `618`, `620`, `622`, `623`, `624`, `625`, `627`, `628`, `629`, `631`, `633`, `635`, `637`, `638`, `640`, `641`, `644`, `645`, `649`, `650`, `652`, `653`, `655`, `656`, `658`, `660`, `662`, `663`, `664`, `666`, `669`, `671`, `672`, `676`, `677`, `680`, `681`, `682`, `685`, `687`, `688`, `690`, `691`, `693`, `694`, `696`, `697`, `698`, `699`, `700`, `702`, `703`, `704`, `706`, `709`, `711`, `712`, `713`, `714`, `715`, `716`, `718`, `719`, `720`, `723`, `724`, `726`, `728`, `730`, `731`, `732`, `734`, `735`, `736`, `737`, `738`, `739`, `740`, `742`, `743`, `745`, `746`, `748`, `750`, `751`, `752`, `753`, `754`, `756`, `757`, `758`, `760`, `762`, `763`, `764`, `765`, `766`, `767`, `768`, `769`, `770`, `771`, `772`, `774`, `776`, `777`, `779`, `780`, `781`, `782`, `783`, `784`, `785`, `787`, `788`, `789`, `790`, `791`, `793`, `794`, `797`, `799`, `801`, `802`, `803`, `806`, `808`, `809`, `810`, `812`, `813`, `815`, `816`, `817`, `819`, `820`, `822`, `824`, `825`, `826`, `828`, `829`, `832`, `833`, `835`, `837`, `839`, `840`, `841`, `842`, `843`, `845`, `846`, `849`, `851`, `854`, `857`, `858`, `861`, `862`, `863`, `865`, `866`, `867`, `868`, `869`, `870`, `871`, `873`, `875`, `876`, `878`, `880`, `883`, `884`, `887`, `888`, `889`, `890`, `891`, `893`, `894`, `897`, `898`, `529`, `900`, `901`, `902`, `903`, `904`, `905`, `906`, `909`, `911`, `913`, `914`, `915`, `916`, `918`, `919`, `920`, `922`, `923`, `925`, `926`, `927`, `928`, `929`, `931`, `932`, `934`, `936`, `938`, `939`, `940`, `941`, `942`, `943`, `944`, `945`, `946`, `947`, `948`, `949`, `950`, `952`, `953`, `954`, `956`, `957`, `958`, `959`, `961`, `962`, `965`, `967`, `968`, `970`, `971`, `972`, `973`, `976`, `977`, `979`, `982`, `983`, `984`, `985`, `986`, `988`, `989`, `990`, `993`, `994`, `996`, `998`, `999`, `1001`, `1002`, `1003`, `1005`, `1006`, `1007`, `1009`, `1010`, `1012`, `1016`, `1018`, `1020`, `1021`, `1023`, `1024`, `1026`, `1027`, `1029`, `1030`, `1031`, `1032`, `1033`, `1034`, `1036`, `1037`, `1038`, `1040`, `1042`, `1044`, `223`, `1045`, `1046`, `1049`, `1052`, `1054`, `1057`, `1058`, `1061`, `1062`, `1063`, `1064`, `1065`, `1067`, `1068`, `1069`, `1070`, `1071`, `1072`, `1074`, `1077`, `1079`, `1080`, `1081`, `1083`, `1084`, `1086`, `1087`, `1088`, `1090`, `1092`, `1093`, `1094`, `1095`, `1096`, `1097`, `1098`, `1099`, `1100`, `1102`, `1105`, `1106`, `1107`, `1109`, `1110`, `1111`, `1112`, `1113`, `1114`, `1115`, `1116`, `1117`, `1118`, `1121`, `1123`, `1126`, `1128`, `1129`, `1130`, `1131`, `1132`, `1133`, `1135`, `1136`, `1137`, `1138`, `1139`, `1141`, `1142`, `1143`, `1144`, `1145`, `1148`, `1149`, `1150`, `1152`, `1154`, `1155`, `1157`, `1158`, `1159`, `1160`, `1162`, `1163`, `1164`, `1166`, `1167`, `1168`, `1170`, `1173`, `1174`, `1176`, `1178`, `1179`, `1180`, `1182`, `1183`, `1184`, `1186`, `1187`, `1188`, `1191`, `1192`, `1193`, `1194`, `1195`, `1196`, `1197`, `1198`, `1199`, `1200`, `1201`, `1203`, `1204`, `1206`, `1207`, `1209`, `1211`, `1212`, `1213`, `1214`, `1215`, `1216`, `1218`, `1219`, `1220`, `1221`, `1224`, `1225`, `1227`, `1228`, `1229`, `1231`, `1232`, `1233`, `1235`, `1237`, `1240`, `1243`, `1246`, `1248`, `1249`, `1251`, `1252`, `1254`, `1257`, `1258`, `1260`, `1263`, `1264`, `1265`, `1267`, `1269`, `1270`, `1272`, `1273`, `1275`, `1276`, `1278`, `1280`, `1281`, `1282`, `1284`, `297`, `1285`, `1287`, `1289`, `1291`, `1292`, `1293`, `1294`, `1295`, `1297`, `1299`, `1301`, `1303`, `1305`, `1308`, `1309`, `1310`, `1312` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.95 |
| `TOKEN_P` | 99.95 |
| `TOKEN_R` | 99.96 |
| `TOKEN_ACC` | 99.99 |
| `SENTS_F` | 98.02 |
| `SENTS_P` | 98.02 |
| `SENTS_R` | 98.02 |
| `TAG_ACC` | 97.87 |
| `POS_ACC` | 98.83 |
| `MORPH_ACC` | 97.97 |
| `DEP_UAS` | 92.14 |
| `DEP_LAS` | 89.39 |
| `LEMMA_ACC` | 97.37 |
|
{"language": ["sv"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/sv_udv25_swedishtalbanken_trf
| null |
[
"spacy",
"token-classification",
"sv",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Vietnamese-VTB
| Feature | Description |
| --- | --- |
| **Name** | `vi_udv25_vietnamesevtb_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (81 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `!`, `"`, `,`, `-`, `.`, `...`, `:`, `;`, `?`, `@`, `A`, `C`, `CC`, `E`, `I`, `L`, `LBKT`, `M`, `N`, `NP`, `Nb`, `Nc`, `Np`, `Nu`, `Ny`, `P`, `R`, `RBKT`, `T`, `V`, `VP`, `X`, `Y`, `Z` |
| **`morphologizer`** | `POS=NOUN`, `POS=ADP`, `POS=X\|Polarity=Neg`, `POS=VERB`, `POS=ADJ`, `POS=PUNCT`, `POS=X`, `POS=SCONJ`, `NumType=Card\|POS=NUM`, `POS=DET`, `POS=CCONJ`, `POS=PROPN`, `POS=AUX`, `POS=PART`, `POS=INTJ` |
| **`parser`** | `ROOT`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `iobj`, `list`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 87.90 |
| `TOKEN_P` | 86.84 |
| `TOKEN_R` | 89.00 |
| `TOKEN_ACC` | 98.42 |
| `SENTS_F` | 94.33 |
| `SENTS_P` | 96.23 |
| `SENTS_R` | 92.50 |
| `TAG_ACC` | 88.05 |
| `POS_ACC` | 90.19 |
| `MORPH_ACC` | 96.95 |
| `DEP_UAS` | 68.08 |
| `DEP_LAS` | 60.64 |
| `LEMMA_ACC` | 89.35 |
|
{"language": ["vi"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/vi_udv25_vietnamesevtb_trf
| null |
[
"spacy",
"token-classification",
"vi",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
token-classification
|
spacy
|
UD v2.5 benchmarking pipeline for UD_Old_French-SRCMF
| Feature | Description |
| --- | --- |
| **Name** | `xx_udv25_oldfrenchsrcmf_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (16214 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJQUA`, `ADJcar`, `ADJind`, `ADJord`, `ADJpos`, `ADJqua`, `ADVgen`, `ADVgen.PROadv`, `ADVgen.PROper`, `ADVing`, `ADVint`, `ADVneg`, `ADVneg.PROper`, `ADVsub`, `CONcoo`, `CONsub`, `CONsub.PROper`, `CONsub_o`, `CONsub_pre`, `DETcar`, `DETdef`, `DETdem`, `DETind`, `DETint`, `DETndf`, `DETord`, `DETpos`, `DETrel`, `DETrel_o`, `ETR`, `INJ`, `NOMcom`, `NOMcom.PROper`, `NOMpro`, `PRE`, `PRE.DETdef`, `PRE.PROdem`, `PRE.PROper`, `PROadv`, `PROcar`, `PROdem`, `PROimp`, `PROind`, `PROint`, `PROint.PROper`, `PROint_adv`, `PROord`, `PROper`, `PROper.PROper`, `PROpos`, `PROrel`, `PROrel.ADVneg`, `PROrel.PROadv`, `PROrel.PROper`, `PROrel_adv`, `RED`, `VERcjg`, `VERinf`, `VERppa`, `VERppe` |
| **`morphologizer`** | `POS=CCONJ`, `Definite=Def\|POS=DET\|PronType=Art`, `POS=NOUN`, `POS=PRON\|PronType=Prs`, `POS=VERB\|VerbForm=Fin`, `POS=PROPN`, `POS=PRON\|PronType=Prs,Rel`, `POS=ADV`, `POS=ADP`, `POS=ADV\|PronType=Dem`, `POS=PRON\|PronType=Dem`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=AUX\|VerbForm=Fin`, `POS=DET\|PronType=Int`, `POS=ADJ`, `POS=PRON\|PronType=Ind`, `POS=DET\|PronType=Ind`, `Morph=VPar\|POS=ADJ`, `POS=DET\|Poss=Yes`, `POS=ADV\|Polarity=Neg`, `Definite=Def\|POS=ADP\|PronType=Art`, `POS=PRON\|PronType=Int`, `POS=SCONJ`, `POS=VERB\|VerbForm=Inf`, `NumType=Card\|POS=PRON`, `POS=PRON`, `NumType=Card\|POS=DET`, `POS=PRON\|Polarity=Neg\|PronType=Prs`, `POS=ADJ\|Poss=Yes`, `POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|POS=DET\|PronType=Art`, `POS=DET\|PronType=Dem`, `POS=AUX\|VerbForm=Inf`, `POS=ADJ\|PronType=Ind`, `Morph=VPar\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Morph=VPar\|POS=PROPN`, `Morph=VInf\|POS=NOUN`, `NumType=Ord\|POS=PRON`, `POS=INTJ`, `POS=SCONJ\|PronType=Prs`, `Morph=VFin\|POS=NOUN`, `POS=DET\|PronType=Rel`, `NumType=Card\|POS=ADJ`, `POS=ADJ\|PronType=Ord`, `Morph=VFin\|POS=ADV`, `Morph=VFin\|POS=PROPN`, `POS=DET`, `Morph=VPar\|POS=ADP`, `Morph=VPar\|POS=ADV`, `NumType=Ord\|POS=DET`, `Morph=VFin\|POS=ADP`, `Morph=VFin\|POS=CCONJ`, `Morph=VInf\|POS=ADJ`, `POS=ADP\|PronType=Dem`, `POS=ADV\|Polarity=Int`, `Morph=VFin\|POS=INTJ` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `case:det`, `cc`, `cc:nc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `dislocated`, `expl`, `flat`, `iobj`, `mark`, `mark:advmod`, `mark:obj`, `mark:obl`, `nmod`, `nsubj`, `nsubj:obj`, `nummod`, `obj`, `obj:advmod`, `obl`, `obl:advmod`, `parataxis`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0`, `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15`, `16`, `17`, `18`, `19`, `20`, `21`, `22`, `23`, `24`, `25`, `26`, `27`, `28`, `29`, `30`, `31`, `32`, `33`, `34`, `35`, `36`, `37`, `38`, `39`, `40`, `41`, `42`, `43`, `44`, `45`, `46`, `47`, `48`, `49`, `50`, `51`, `52`, `53`, `54`, `55`, `56`, `57`, `58`, `59`, `60`, `61`, `62`, `63`, `64`, `65`, `66`, `67`, `68`, `69`, `70`, `71`, `72`, `73`, `74`, `75`, `76`, `77`, `78`, `79`, `80`, `81`, `82`, `83`, `84`, `85`, `86`, `87`, `88`, `89`, `90`, `91`, `92`, `93`, `94`, `95`, `96`, `97`, `98`, `99`, `100`, `101`, `102`, `103`, `104`, `105`, `106`, `107`, `108`, `109`, `110`, `111`, `112`, `113`, `114`, `115`, `116`, `117`, `118`, `119`, `120`, `121`, `122`, `123`, `124`, `125`, `126`, `127`, `128`, `129`, `130`, `131`, `132`, `133`, `134`, `135`, `136`, `137`, `138`, `139`, `140`, `141`, `142`, `143`, `144`, `145`, `146`, `147`, `148`, `149`, `150`, `151`, `152`, `153`, `154`, `155`, `156`, `157`, `158`, `159`, `160`, `161`, `162`, `163`, `164`, `165`, `166`, `167`, `168`, `169`, `170`, `171`, `172`, `173`, `174`, `175`, `176`, `177`, `178`, `179`, `180`, `181`, `182`, `183`, `184`, `185`, `186`, `187`, `188`, `189`, `190`, `191`, `192`, `193`, `194`, `195`, `196`, `197`, `198`, `199`, `200`, `201`, `202`, `203`, `204`, `205`, `206`, `207`, `208`, `209`, `210`, `211`, `212`, `213`, `214`, `215`, `216`, `217`, `218`, `219`, `220`, `221`, `222`, `223`, `224`, `225`, `226`, `227`, `228`, `229`, `230`, `231`, `232`, `233`, `234`, `235`, `236`, `237`, `238`, `239`, `240`, `241`, `242`, `243`, `244`, `245`, `246`, `247`, `248`, `249`, `250`, `251`, `252`, `253`, `254`, `255`, `256`, `257`, `258`, `259`, `260`, `261`, `262`, `263`, `264`, `265`, `266`, `267`, `268`, `269`, `270`, `271`, `272`, `273`, `274`, `275`, `276`, `277`, `278`, `279`, `280`, `281`, `282`, `283`, `284`, `285`, `286`, `287`, `288`, `289`, `290`, `291`, `292`, `293`, `294`, `295`, `296`, `297`, `298`, `299`, `300`, `301`, `302`, `303`, `304`, `305`, `306`, `307`, `308`, `309`, `310`, `311`, `312`, `313`, `314`, `315`, `316`, `317`, `318`, `319`, `320`, `321`, `322`, `323`, `324`, `325`, `326`, `327`, `328`, `329`, `330`, `331`, `332`, `333`, `334`, `335`, `336`, `337`, `338`, `339`, `340`, `341`, `342`, `343`, `344`, `345`, `346`, `347`, `348`, `349`, `350`, `351`, `352`, `353`, `354`, `355`, `356`, `357`, `358`, `359`, `360`, `361`, `362`, `363`, `364`, `365`, `366`, `367`, `368`, `369`, `370`, `371`, `372`, `373`, `374`, `375`, `376`, `377`, `378`, `379`, `380`, `381`, `382`, `383`, `384`, `385`, `386`, `387`, `388`, `389`, `390`, `391`, `392`, `393`, `394`, `395`, `396`, `397`, `398`, `399`, `400`, `401`, `402`, `403`, `404`, `405`, `406`, `407`, `408`, `409`, `410`, `411`, `412`, `413`, `414`, `415`, `416`, `417`, `418`, `419`, `420`, `421`, `422`, `423`, `424`, `425`, `426`, `427`, `428`, `429`, `430`, `431`, `432`, `433`, `434`, `435`, `436`, `437`, `438`, `439`, `440`, `441`, `442`, `443`, `444`, `445`, `446`, `447`, `448`, `449`, `450`, `451`, `452`, `453`, `454`, `455`, `456`, `457`, `458`, `459`, `460`, `461`, `462`, `463`, `464`, `465`, `466`, `467`, `468`, `469`, `470`, `471`, `472`, `473`, `474`, `475`, `476`, `477`, `478`, `479`, `480`, `481`, `482`, `483`, `484`, `485`, `486`, `487`, `488`, `489`, `490`, `491`, `492`, `493`, `494`, `495`, `496`, `497`, `498`, `499`, `500`, `501`, `502`, `503`, `504`, `505`, `506`, `507`, `508`, `509`, `510`, `511`, `512`, `513`, `514`, `515`, `516`, `517`, `518`, `519`, `520`, `521`, `522`, `523`, `524`, `525`, `526`, `527`, `528`, `529`, `530`, `531`, `532`, `533`, `534`, `535`, `536`, `537`, `538`, `539`, `540`, `541`, `542`, `543`, `544`, `545`, `546`, `547`, `548`, `549`, `550`, `551`, `552`, `553`, `554`, `555`, `556`, `557`, `558`, `559`, `560`, `561`, `562`, `563`, `564`, `565`, `566`, `567`, `568`, `569`, `570`, `571`, `572`, `573`, `574`, `575`, `576`, `577`, `578`, `579`, `580`, `581`, `582`, `583`, `584`, `585`, `586`, `587`, `588`, `589`, `590`, `591`, `592`, `593`, `594`, `595`, `596`, `597`, `598`, `599`, `600`, `601`, `602`, `603`, `604`, `605`, `606`, `607`, `608`, `609`, `610`, `611`, `612`, `613`, `614`, `615`, `616`, `617`, `618`, `619`, `620`, `621`, `622`, `623`, `624`, `625`, `626`, `627`, `628`, `629`, `630`, `631`, `632`, `633`, `634`, `635`, `636`, `637`, `638`, `639`, `640`, `641`, `642`, `643`, `644`, `645`, `646`, `647`, `648`, `649`, `650`, `651`, `652`, `653`, `654`, `655`, `656`, `657`, `658`, `659`, `660`, `661`, `662`, `663`, `664`, `665`, `666`, `667`, `668`, `669`, `670`, `671`, `672`, `673`, `674`, `675`, `676`, `677`, `678`, `679`, `680`, `681`, `682`, `683`, `684`, `685`, `686`, `687`, `688`, `689`, `690`, `691`, `692`, `693`, `694`, `695`, `696`, `697`, `698`, `699`, `700`, `701`, `702`, `703`, `704`, `705`, `706`, `707`, `708`, `709`, `710`, `711`, `712`, `713`, `714`, `715`, `716`, `717`, `718`, `719`, `720`, `721`, `722`, `723`, `724`, `725`, `726`, `727`, `728`, `729`, `730`, `731`, `732`, `733`, `734`, `735`, `736`, `737`, `738`, `739`, `740`, `741`, `742`, `743`, `744`, `745`, `746`, `747`, `748`, `749`, `750`, `751`, `752`, `753`, `754`, `755`, `756`, `757`, `758`, `759`, `760`, `761`, `762`, `763`, `764`, `765`, `766`, `767`, `768`, `769`, `770`, `771`, `772`, `773`, `774`, `775`, `776`, `777`, `778`, `779`, `780`, `781`, `782`, `783`, `784`, `785`, `786`, `787`, `788`, `789`, `790`, `791`, `792`, `793`, `794`, `795`, `796`, `797`, `798`, `799`, `800`, `801`, `802`, `803`, `804`, `805`, `806`, `807`, `808`, `809`, `810`, `811`, `812`, `813`, `814`, `815`, `816`, `817`, `818`, `819`, `820`, `821`, `822`, `823`, `824`, `825`, `826`, `827`, `828`, `829`, `830`, `831`, `832`, `833`, `834`, `835`, `836`, `837`, `838`, `839`, `840`, `841`, `842`, `843`, `844`, `845`, `846`, `847`, `848`, `849`, `850`, `851`, `852`, `853`, `854`, `855`, `856`, `857`, `858`, `859`, `860`, `861`, `862`, `863`, `864`, `865`, `866`, `867`, `868`, `869`, `870`, `871`, `872`, `873`, `874`, `875`, `876`, `877`, `878`, `879`, `880`, `881`, `882`, `883`, `884`, `885`, `886`, `887`, `888`, `889`, `890`, `891`, `892`, `893`, `894`, `895`, `896`, `897`, `898`, `899`, `900`, `901`, `902`, `903`, `904`, `905`, `906`, `907`, `908`, `909`, `910`, `911`, `912`, `913`, `914`, `915`, `916`, `917`, `918`, `919`, `920`, `921`, `922`, `923`, `924`, `925`, `926`, `927`, `928`, `929`, `930`, `931`, `932`, `933`, `934`, `935`, `936`, `937`, `938`, `939`, `940`, `941`, `942`, `943`, `944`, `945`, `946`, `947`, `948`, `949`, `950`, `951`, `952`, `953`, `954`, `955`, `956`, `957`, `958`, `959`, `960`, `961`, `962`, `963`, `964`, `965`, `966`, `967`, `968`, `969`, `970`, `971`, `972`, `973`, `974`, `975`, `976`, `977`, `978`, `979`, `980`, `981`, `982`, `983`, `984`, `985`, `986`, `987`, `988`, `989`, `990`, `991`, `992`, `993`, `994`, `995`, `996`, `997`, `998`, `999`, `1000`, `1001`, `1002`, `1003`, `1004`, `1005`, `1006`, `1007`, `1008`, `1009`, `1010`, `1011`, `1012`, `1013`, `1014`, `1015`, `1016`, `1017`, `1018`, `1019`, `1020`, `1021`, `1022`, `1023`, `1024`, `1025`, `1026`, `1027`, `1028`, `1029`, `1030`, `1031`, `1032`, `1033`, `1034`, `1035`, `1036`, `1037`, `1038`, `1039`, `1040`, `1041`, `1042`, `1043`, `1044`, `1045`, `1046`, `1047`, `1048`, `1049`, `1050`, `1051`, `1052`, `1053`, `1054`, `1055`, `1056`, `1057`, `1058`, `1059`, `1060`, `1061`, `1062`, `1063`, `1064`, `1065`, `1066`, `1067`, `1068`, `1069`, `1070`, `1071`, `1072`, `1073`, `1074`, `1075`, `1076`, `1077`, `1078`, `1079`, `1080`, `1081`, `1082`, `1083`, `1084`, `1085`, `1086`, `1087`, `1088`, `1089`, `1090`, `1091`, `1092`, `1093`, `1094`, `1095`, `1096`, `1097`, `1098`, `1099`, `1100`, `1101`, `1102`, `1103`, `1104`, `1105`, `1106`, `1107`, `1108`, `1109`, `1110`, `1111`, `1112`, `1113`, `1114`, `1115`, `1116`, `1117`, `1118`, `1119`, `1120`, `1121`, `1122`, `1123`, `1124`, `1125`, `1126`, `1127`, `1128`, `1129`, `1130`, `1131`, `1132`, `1133`, `1134`, `1135`, `1136`, `1137`, `1138`, `1139`, `1140`, `1141`, `1142`, `1143`, `1144`, `1145`, `1146`, `1147`, `1148`, `1149`, `1150`, `1151`, `1152`, `1153`, `1154`, `1155`, `1156`, `1157`, `1158`, `1159`, `1160`, `1161`, `1162`, `1163`, `1164`, `1165`, `1166`, `1167`, `1168`, `1169`, `1170`, `1171`, `1172`, `1173`, `1174`, `1175`, `1176`, `1177`, `1178`, `1179`, `1180`, `1181`, `1182`, `1183`, `1184`, `1185`, `1186`, `1187`, `1188`, `1189`, `1190`, `1191`, `1192`, `1193`, `1194`, `1195`, `1196`, `1197`, `1198`, `1199`, `1200`, `1201`, `1202`, `1203`, `1204`, `1205`, `1206`, `1207`, `1208`, `1209`, `1210`, `1211`, `1212`, `1213`, `1214`, `1215`, `1216`, `1217`, `1218`, `1219`, `1220`, `1221`, `1222`, `1223`, `1224`, `1225`, `1226`, `1227`, `1228`, `1229`, `1230`, `1231`, `1232`, `1233`, `1234`, `1235`, `1236`, `1237`, `1238`, `1239`, `1240`, `1241`, `1242`, `1243`, `1244`, `1245`, `1246`, `1247`, `1248`, `1249`, `1250`, `1251`, `1252`, `1253`, `1254`, `1255`, `1256`, `1257`, `1258`, `1259`, `1260`, `1261`, `1262`, `1263`, `1264`, `1265`, `1266`, `1267`, `1268`, `1269`, `1270`, `1271`, `1272`, `1273`, `1274`, `1275`, `1276`, `1277`, `1278`, `1279`, `1280`, `1281`, `1282`, `1283`, `1284`, `1285`, `1286`, `1287`, `1288`, `1289`, `1290`, `1291`, `1292`, `1293`, `1294`, `1295`, `1296`, `1297`, `1298`, `1299`, `1300`, `1301`, `1302`, `1303`, `1304`, `1305`, `1306`, `1307`, `1308`, `1309`, `1310`, `1311`, `1312`, `1313`, `1314`, `1315`, `1316`, `1317`, `1318`, `1319`, `1320`, `1321`, `1322`, `1323`, `1324`, `1325`, `1326`, `1327`, `1328`, `1329`, `1330`, `1331`, `1332`, `1333`, `1334`, `1335`, `1336`, `1337`, `1338`, `1339`, `1340`, `1341`, `1342`, `1343`, `1344`, `1345`, `1346`, `1347`, `1348`, `1349`, `1350`, `1351`, `1352`, `1353`, `1354`, `1355`, `1356`, `1357`, `1358`, `1359`, `1360`, `1361`, `1362`, `1363`, `1364`, `1365`, `1366`, `1367`, `1368`, `1369`, `1370`, `1371`, `1372`, `1373`, `1374`, `1375`, `1376`, `1377`, `1378`, `1379`, `1380`, `1381`, `1382`, `1383`, `1384`, `1385`, `1386`, `1387`, `1388`, `1389`, `1390`, `1391`, `1392`, `1393`, `1394`, `1395`, `1396`, `1397`, `1398`, `1399`, `1400`, `1401`, `1402`, `1403`, `1404`, `1405`, `1406`, `1407`, `1408`, `1409`, `1410`, `1411`, `1412`, `1413`, `1414`, `1415`, `1416`, `1417`, `1418`, `1419`, `1420`, `1421`, `1422`, `1423`, `1424`, `1425`, `1426`, `1427`, `1428`, `1429`, `1430`, `1431`, `1432`, `1433`, `1434`, `1435`, `1436`, `1437`, `1438`, `1439`, `1440`, `1441`, `1442`, `1443`, `1444`, `1445`, `1446`, `1447`, `1448`, `1449`, `1450`, `1451`, `1452`, `1453`, `1454`, `1455`, `1456`, `1457`, `1458`, `1459`, `1460`, `1461`, `1462`, `1463`, `1464`, `1465`, `1466`, `1467`, `1468`, `1469`, `1470`, `1471`, `1472`, `1473`, `1474`, `1475`, `1476`, `1477`, `1478`, `1479`, `1480`, `1481`, `1482`, `1483`, `1484`, `1485`, `1486`, `1487`, `1488`, `1489`, `1490`, `1491`, `1492`, `1493`, `1494`, `1495`, `1496`, `1497`, `1498`, `1499`, `1500`, `1501`, `1502`, `1503`, `1504`, `1505`, `1506`, `1507`, `1508`, `1509`, `1510`, `1511`, `1512`, `1513`, `1514`, `1515`, `1516`, `1517`, `1518`, `1519`, `1520`, `1521`, `1522`, `1523`, `1524`, `1525`, `1526`, `1527`, `1528`, `1529`, `1530`, `1531`, `1532`, `1533`, `1534`, `1535`, `1536`, `1537`, `1538`, `1539`, `1540`, `1541`, `1542`, `1543`, `1544`, `1545`, `1546`, `1547`, `1548`, `1549`, `1550`, `1551`, `1552`, `1553`, `1554`, `1555`, `1556`, `1557`, `1558`, `1559`, `1560`, `1561`, `1562`, `1563`, `1564`, `1565`, `1566`, `1567`, `1568`, `1569`, `1570`, `1571`, `1572`, `1573`, `1574`, `1575`, `1576`, `1577`, `1578`, `1579`, `1580`, `1581`, `1582`, `1583`, `1584`, `1585`, `1586`, `1587`, `1588`, `1589`, `1590`, `1591`, `1592`, `1593`, `1594`, `1595`, `1596`, `1597`, `1598`, `1599`, `1600`, `1601`, `1602`, `1603`, `1604`, `1605`, `1606`, `1607`, `1608`, `1609`, `1610`, `1611`, `1612`, `1613`, `1614`, `1615`, `1616`, `1617`, `1618`, `1619`, `1620`, `1621`, `1622`, `1623`, `1624`, `1625`, `1626`, `1627`, `1628`, `1629`, `1630`, `1631`, `1632`, 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`16004`, `16005`, `16006`, `16007`, `16008`, `16009`, `16010`, `16011`, `16012`, `16013`, `16014`, `16015`, `16016`, `16017`, `16018`, `16019`, `16020`, `16021`, `16022`, `16023`, `16024`, `16025`, `16026`, `16027`, `16028`, `16029`, `16030`, `16031`, `16032`, `16033`, `16034`, `16035`, `16036`, `16037`, `16038`, `16039`, `16040`, `16041`, `16042`, `16043`, `16044`, `16045`, `16046`, `16047`, `16048`, `16049`, `16050`, `16051`, `16052`, `16053`, `16054`, `16055`, `16056`, `16057`, `16058` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 81.11 |
| `SENTS_P` | 79.75 |
| `SENTS_R` | 82.52 |
| `TAG_ACC` | 96.41 |
| `POS_ACC` | 96.52 |
| `MORPH_ACC` | 97.74 |
| `DEP_UAS` | 90.21 |
| `DEP_LAS` | 85.42 |
| `LEMMA_ACC` | 90.34 |
|
{"language": ["multilingual"], "license": "cc-by-sa-4.0", "tags": ["spacy", "token-classification"]}
|
explosion/xx_udv25_oldfrenchsrcmf_trf
| null |
[
"spacy",
"token-classification",
"multilingual",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null | null |
{}
|
extremevil1ain/rein
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
null | null |
{}
|
f00d4tehg0dz/DialoGPT-medium-Yoda
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
text-generation
|
transformers
|
#peppa pig chat bot
|
{"tags": ["conversational"]}
|
f00d4tehg0dz/Peppa
| null |
[
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-generation
|
transformers
|
#yoda chat bot
|
{"tags": ["conversational"]}
|
f00d4tehg0dz/Yoda
| null |
[
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text2text-generation
|
transformers
|
{}
|
fabianafatsawo/math_problem_NLtoACE_BART
| null |
[
"transformers",
"pytorch",
"bart",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
null | null |
{}
|
fabiankiwitz/bariatrie
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
token-classification
|
transformers
|
# Italian Legal Named Entity Recognition (NER)
ELECTRA-based model trained to extract entities of interest from Italian civil judgments issued by the Corte Suprema di Cassazione.
## Dataset
The model has been fine-tuned on 9000 judgments from 2016 to 2021 (1500 per year), labeled with a combination of rule-based and manual approaches.
It can be used to extract the following named entities from the text.
| Tag | Italian name | English name |
|:----|:-------------|:-------------|
| RIC | ricorso | appeal |
| RCR | ricorrente | petitioner |
| CTR | controricorrente | respondent |
| AVV | avvocato | lawyer |
| CNS | consigliere | counselor |
| PMI | pubblico ministero | prosecutor |
| DOM | domicilio | domicile |
| CDA | corte d’appello | appeal court |
| SNT | sentenza | judgment|
|
{"language": ["it"], "tags": ["legal"], "widget": [{"text": "la seguente SENTENZA sul ricorso 24817-2015 proposto da: ANDREA FORMISANO, elettivamente domiciliato in ROMA VIA S. TOMMASO D'AQUINO 7, presso lo studio dell'avvocato CARLO BORELLO, che lo rappresenta e difende giusta delega in calce; - ricorrente - contro SOGET SPA, CAMERA DI COMMERCIO DI PESCARA; - intimati - avverso la sentenza n. 169/2012 della COMM.TRIB.REG.SEZ.DIST. di PESCARA, depositata il 13/03/2012; udita la relazione della causa svolta nella pubblica udienza del 04/04/2018 dal Consigliere Dott. MILENA BALSAMO; udito il P.M. in persona del Sostituto Procuratore Generale Dott. GIOVANNI GIACALONE che ha concluso per l'inammissibilit\u00e0 in subordine rigetto del ricorso.", "example_title": "Judgment example"}]}
|
fabiod20/italian-legal-ner
| null |
[
"transformers",
"pytorch",
"electra",
"token-classification",
"legal",
"it",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text2text-generation
|
transformers
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opus-mt-en-de-finetuned-en-to-de-wd01-fp16false
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on the wmt16 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3
|
{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wmt16"], "model-index": [{"name": "opus-mt-en-de-finetuned-en-to-de-wd01-fp16false", "results": []}]}
|
fabiogr/opus-mt-en-de-finetuned-en-to-de-wd01-fp16false
| null |
[
"transformers",
"pytorch",
"marian",
"text2text-generation",
"generated_from_trainer",
"dataset:wmt16",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null | null |
{}
|
fabiogr/opus-mt-en-de-finetuned-en-to-de
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
null | null |
{}
|
fabriceyes/test
| null |
[
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
|
text-classification
|
transformers
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-ag_news
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ag_news dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3284
- Accuracy: 0.9375
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 7425
- training_steps: 74250
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5773 | 0.13 | 2000 | 0.3627 | 0.8875 |
| 0.3101 | 0.27 | 4000 | 0.2938 | 0.9208 |
| 0.3076 | 0.4 | 6000 | 0.3114 | 0.9092 |
| 0.3114 | 0.54 | 8000 | 0.4545 | 0.9008 |
| 0.3154 | 0.67 | 10000 | 0.3875 | 0.9083 |
| 0.3095 | 0.81 | 12000 | 0.3390 | 0.9142 |
| 0.2948 | 0.94 | 14000 | 0.3341 | 0.9133 |
| 0.2557 | 1.08 | 16000 | 0.4573 | 0.9092 |
| 0.258 | 1.21 | 18000 | 0.3356 | 0.9217 |
| 0.2455 | 1.35 | 20000 | 0.3348 | 0.9283 |
| 0.2361 | 1.48 | 22000 | 0.3218 | 0.93 |
| 0.254 | 1.62 | 24000 | 0.3814 | 0.9033 |
| 0.2528 | 1.75 | 26000 | 0.3628 | 0.9158 |
| 0.2282 | 1.89 | 28000 | 0.3302 | 0.9308 |
| 0.224 | 2.02 | 30000 | 0.3967 | 0.9225 |
| 0.174 | 2.15 | 32000 | 0.3669 | 0.9333 |
| 0.1848 | 2.29 | 34000 | 0.3435 | 0.9283 |
| 0.19 | 2.42 | 36000 | 0.3552 | 0.93 |
| 0.1865 | 2.56 | 38000 | 0.3996 | 0.9258 |
| 0.1877 | 2.69 | 40000 | 0.3749 | 0.9258 |
| 0.1951 | 2.83 | 42000 | 0.3963 | 0.9258 |
| 0.1702 | 2.96 | 44000 | 0.3655 | 0.9317 |
| 0.1488 | 3.1 | 46000 | 0.3942 | 0.9292 |
| 0.1231 | 3.23 | 48000 | 0.3998 | 0.9267 |
| 0.1319 | 3.37 | 50000 | 0.4292 | 0.9242 |
| 0.1334 | 3.5 | 52000 | 0.4904 | 0.9192 |
### Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1
- Datasets 1.6.1
- Tokenizers 0.10.3
|
{"license": "apache-2.0", "tags": ["generated_from_trainer", "sibyl"], "datasets": ["ag_news"], "metrics": ["accuracy"], "model-index": [{"name": "bert-base-uncased-ag_news", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "ag_news", "type": "ag_news", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9375, "name": "Accuracy"}]}]}]}
|
fabriceyhc/bert-base-uncased-ag_news
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:ag_news",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
transformers
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-amazon_polarity
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the amazon_polarity dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2945
- Accuracy: 0.9465
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1782000
- training_steps: 17820000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.7155 | 0.0 | 2000 | 0.7060 | 0.4622 |
| 0.7054 | 0.0 | 4000 | 0.6925 | 0.5165 |
| 0.6842 | 0.0 | 6000 | 0.6653 | 0.6116 |
| 0.6375 | 0.0 | 8000 | 0.5721 | 0.7909 |
| 0.4671 | 0.0 | 10000 | 0.3238 | 0.8770 |
| 0.3403 | 0.0 | 12000 | 0.3692 | 0.8861 |
| 0.4162 | 0.0 | 14000 | 0.4560 | 0.8908 |
| 0.4728 | 0.0 | 16000 | 0.5071 | 0.8980 |
| 0.5111 | 0.01 | 18000 | 0.5204 | 0.9015 |
| 0.4792 | 0.01 | 20000 | 0.5193 | 0.9076 |
| 0.544 | 0.01 | 22000 | 0.4835 | 0.9133 |
| 0.4745 | 0.01 | 24000 | 0.4689 | 0.9170 |
| 0.4403 | 0.01 | 26000 | 0.4778 | 0.9177 |
| 0.4405 | 0.01 | 28000 | 0.4754 | 0.9163 |
| 0.4375 | 0.01 | 30000 | 0.4808 | 0.9175 |
| 0.4628 | 0.01 | 32000 | 0.4340 | 0.9244 |
| 0.4488 | 0.01 | 34000 | 0.4162 | 0.9265 |
| 0.4608 | 0.01 | 36000 | 0.4031 | 0.9271 |
| 0.4478 | 0.01 | 38000 | 0.4502 | 0.9253 |
| 0.4237 | 0.01 | 40000 | 0.4087 | 0.9279 |
| 0.4601 | 0.01 | 42000 | 0.4133 | 0.9269 |
| 0.4153 | 0.01 | 44000 | 0.4230 | 0.9306 |
| 0.4096 | 0.01 | 46000 | 0.4108 | 0.9301 |
| 0.4348 | 0.01 | 48000 | 0.4138 | 0.9309 |
| 0.3787 | 0.01 | 50000 | 0.4066 | 0.9324 |
| 0.4172 | 0.01 | 52000 | 0.4812 | 0.9206 |
| 0.3897 | 0.02 | 54000 | 0.4013 | 0.9325 |
| 0.3787 | 0.02 | 56000 | 0.3837 | 0.9344 |
| 0.4253 | 0.02 | 58000 | 0.3925 | 0.9347 |
| 0.3959 | 0.02 | 60000 | 0.3907 | 0.9353 |
| 0.4402 | 0.02 | 62000 | 0.3708 | 0.9341 |
| 0.4115 | 0.02 | 64000 | 0.3477 | 0.9361 |
| 0.3876 | 0.02 | 66000 | 0.3634 | 0.9373 |
| 0.4286 | 0.02 | 68000 | 0.3778 | 0.9378 |
| 0.422 | 0.02 | 70000 | 0.3540 | 0.9361 |
| 0.3732 | 0.02 | 72000 | 0.3853 | 0.9378 |
| 0.3641 | 0.02 | 74000 | 0.3951 | 0.9386 |
| 0.3701 | 0.02 | 76000 | 0.3582 | 0.9388 |
| 0.4498 | 0.02 | 78000 | 0.3268 | 0.9375 |
| 0.3587 | 0.02 | 80000 | 0.3825 | 0.9401 |
| 0.4474 | 0.02 | 82000 | 0.3155 | 0.9391 |
| 0.3598 | 0.02 | 84000 | 0.3666 | 0.9388 |
| 0.389 | 0.02 | 86000 | 0.3745 | 0.9377 |
| 0.3625 | 0.02 | 88000 | 0.3776 | 0.9387 |
| 0.3511 | 0.03 | 90000 | 0.4275 | 0.9336 |
| 0.3428 | 0.03 | 92000 | 0.4301 | 0.9336 |
| 0.4042 | 0.03 | 94000 | 0.3547 | 0.9359 |
| 0.3583 | 0.03 | 96000 | 0.3763 | 0.9396 |
| 0.3887 | 0.03 | 98000 | 0.3213 | 0.9412 |
| 0.3915 | 0.03 | 100000 | 0.3557 | 0.9409 |
| 0.3378 | 0.03 | 102000 | 0.3627 | 0.9418 |
| 0.349 | 0.03 | 104000 | 0.3614 | 0.9402 |
| 0.3596 | 0.03 | 106000 | 0.3834 | 0.9381 |
| 0.3519 | 0.03 | 108000 | 0.3560 | 0.9421 |
| 0.3598 | 0.03 | 110000 | 0.3485 | 0.9419 |
| 0.3642 | 0.03 | 112000 | 0.3754 | 0.9395 |
| 0.3477 | 0.03 | 114000 | 0.3634 | 0.9426 |
| 0.4202 | 0.03 | 116000 | 0.3071 | 0.9427 |
| 0.3656 | 0.03 | 118000 | 0.3155 | 0.9441 |
| 0.3709 | 0.03 | 120000 | 0.2923 | 0.9433 |
| 0.374 | 0.03 | 122000 | 0.3272 | 0.9441 |
| 0.3142 | 0.03 | 124000 | 0.3348 | 0.9444 |
| 0.3452 | 0.04 | 126000 | 0.3603 | 0.9436 |
| 0.3365 | 0.04 | 128000 | 0.3339 | 0.9434 |
| 0.3353 | 0.04 | 130000 | 0.3471 | 0.9450 |
| 0.343 | 0.04 | 132000 | 0.3508 | 0.9418 |
| 0.3174 | 0.04 | 134000 | 0.3753 | 0.9436 |
| 0.3009 | 0.04 | 136000 | 0.3687 | 0.9422 |
| 0.3785 | 0.04 | 138000 | 0.3818 | 0.9396 |
| 0.3199 | 0.04 | 140000 | 0.3291 | 0.9438 |
| 0.4049 | 0.04 | 142000 | 0.3372 | 0.9454 |
| 0.3435 | 0.04 | 144000 | 0.3315 | 0.9459 |
| 0.3814 | 0.04 | 146000 | 0.3462 | 0.9401 |
| 0.359 | 0.04 | 148000 | 0.3981 | 0.9361 |
| 0.3552 | 0.04 | 150000 | 0.3226 | 0.9469 |
| 0.345 | 0.04 | 152000 | 0.3731 | 0.9384 |
| 0.3228 | 0.04 | 154000 | 0.2956 | 0.9471 |
| 0.3637 | 0.04 | 156000 | 0.2869 | 0.9477 |
| 0.349 | 0.04 | 158000 | 0.3331 | 0.9430 |
| 0.3374 | 0.04 | 160000 | 0.4159 | 0.9340 |
| 0.3718 | 0.05 | 162000 | 0.3241 | 0.9459 |
| 0.315 | 0.05 | 164000 | 0.3544 | 0.9391 |
| 0.3215 | 0.05 | 166000 | 0.3311 | 0.9451 |
| 0.3464 | 0.05 | 168000 | 0.3682 | 0.9453 |
| 0.3495 | 0.05 | 170000 | 0.3193 | 0.9469 |
| 0.305 | 0.05 | 172000 | 0.4132 | 0.9389 |
| 0.3479 | 0.05 | 174000 | 0.3465 | 0.947 |
| 0.3537 | 0.05 | 176000 | 0.3277 | 0.9449 |
### Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1
- Datasets 1.12.1
- Tokenizers 0.10.3
|
{"license": "apache-2.0", "tags": ["generated_from_trainer", "sibyl"], "datasets": ["amazon_polarity"], "metrics": ["accuracy"], "model-index": [{"name": "bert-base-uncased-amazon_polarity", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "amazon_polarity", "type": "amazon_polarity", "args": "amazon_polarity"}, "metrics": [{"type": "accuracy", "value": 0.94647, "name": "Accuracy"}]}, {"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "amazon_polarity", "type": "amazon_polarity", "config": "amazon_polarity", "split": "test"}, "metrics": [{"type": "accuracy", "value": 0.9464875, "name": "Accuracy", "verified": true}, {"type": "precision", "value": 0.9528844934702675, "name": "Precision", "verified": true}, {"type": "recall", "value": 0.939425, "name": "Recall", "verified": true}, {"type": "auc", "value": 0.9863499156250001, "name": "AUC", "verified": true}, {"type": "f1", "value": 0.9461068798388619, "name": "F1", "verified": true}, {"type": "loss", "value": 0.2944573760032654, "name": "loss", "verified": true}]}]}]}
|
fabriceyhc/bert-base-uncased-amazon_polarity
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:amazon_polarity",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
transformers
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-dbpedia_14
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the dbpedia_14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0547
- Accuracy: 0.9903
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 34650
- training_steps: 346500
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.7757 | 0.03 | 2000 | 0.2732 | 0.9880 |
| 0.1002 | 0.06 | 4000 | 0.0620 | 0.9891 |
| 0.0547 | 0.09 | 6000 | 0.0723 | 0.9879 |
| 0.0558 | 0.12 | 8000 | 0.0678 | 0.9875 |
| 0.0534 | 0.14 | 10000 | 0.0554 | 0.9896 |
| 0.0632 | 0.17 | 12000 | 0.0670 | 0.9888 |
| 0.0612 | 0.2 | 14000 | 0.0733 | 0.9873 |
| 0.0667 | 0.23 | 16000 | 0.0623 | 0.9896 |
| 0.0636 | 0.26 | 18000 | 0.0836 | 0.9868 |
| 0.0705 | 0.29 | 20000 | 0.0776 | 0.9855 |
| 0.0726 | 0.32 | 22000 | 0.0805 | 0.9861 |
| 0.0778 | 0.35 | 24000 | 0.0713 | 0.9870 |
| 0.0713 | 0.38 | 26000 | 0.1277 | 0.9805 |
| 0.0965 | 0.4 | 28000 | 0.0810 | 0.9855 |
| 0.0881 | 0.43 | 30000 | 0.0910 | 0.985 |
### Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1
- Datasets 1.6.1
- Tokenizers 0.10.3
|
{"license": "apache-2.0", "tags": ["generated_from_trainer", "sibyl"], "datasets": ["dbpedia_14"], "metrics": ["accuracy"], "model-index": [{"name": "bert-base-uncased-dbpedia_14", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "dbpedia_14", "type": "dbpedia_14", "args": "dbpedia_14"}, "metrics": [{"type": "accuracy", "value": 0.9902857142857143, "name": "Accuracy"}]}]}]}
|
fabriceyhc/bert-base-uncased-dbpedia_14
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:dbpedia_14",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
transformers
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-imdb
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4942
- Accuracy: 0.9126
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1546
- training_steps: 15468
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3952 | 0.65 | 2000 | 0.4012 | 0.86 |
| 0.2954 | 1.29 | 4000 | 0.4535 | 0.892 |
| 0.2595 | 1.94 | 6000 | 0.4320 | 0.892 |
| 0.1516 | 2.59 | 8000 | 0.5309 | 0.896 |
| 0.1167 | 3.23 | 10000 | 0.4070 | 0.928 |
| 0.0624 | 3.88 | 12000 | 0.5055 | 0.908 |
| 0.0329 | 4.52 | 14000 | 0.4342 | 0.92 |
### Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1
- Datasets 1.6.1
- Tokenizers 0.10.3
|
{"license": "apache-2.0", "tags": ["generated_from_trainer", "sibyl"], "datasets": ["imdb"], "metrics": ["accuracy"], "model-index": [{"name": "bert-base-uncased-imdb", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "imdb", "type": "imdb", "args": "plain_text"}, "metrics": [{"type": "accuracy", "value": 0.91264, "name": "Accuracy"}]}]}]}
|
fabriceyhc/bert-base-uncased-imdb
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
transformers
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-yahoo_answers_topics
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the yahoo_answers_topics dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8092
- Accuracy: 0.7499
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 86625
- training_steps: 866250
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.162 | 0.01 | 2000 | 1.7444 | 0.5681 |
| 1.3126 | 0.02 | 4000 | 1.0081 | 0.7054 |
| 0.9592 | 0.03 | 6000 | 0.9021 | 0.7234 |
| 0.8903 | 0.05 | 8000 | 0.8827 | 0.7276 |
| 0.8685 | 0.06 | 10000 | 0.8540 | 0.7341 |
| 0.8422 | 0.07 | 12000 | 0.8547 | 0.7365 |
| 0.8535 | 0.08 | 14000 | 0.8264 | 0.7372 |
| 0.8178 | 0.09 | 16000 | 0.8331 | 0.7389 |
| 0.8325 | 0.1 | 18000 | 0.8242 | 0.7411 |
| 0.8181 | 0.12 | 20000 | 0.8356 | 0.7437 |
| 0.8171 | 0.13 | 22000 | 0.8090 | 0.7451 |
| 0.8092 | 0.14 | 24000 | 0.8469 | 0.7392 |
| 0.8057 | 0.15 | 26000 | 0.8185 | 0.7478 |
| 0.8085 | 0.16 | 28000 | 0.8090 | 0.7467 |
| 0.8229 | 0.17 | 30000 | 0.8225 | 0.7417 |
| 0.8151 | 0.18 | 32000 | 0.8262 | 0.7419 |
| 0.81 | 0.2 | 34000 | 0.8149 | 0.7383 |
| 0.8073 | 0.21 | 36000 | 0.8225 | 0.7441 |
| 0.816 | 0.22 | 38000 | 0.8037 | 0.744 |
| 0.8217 | 0.23 | 40000 | 0.8409 | 0.743 |
| 0.82 | 0.24 | 42000 | 0.8286 | 0.7385 |
| 0.8101 | 0.25 | 44000 | 0.8282 | 0.7413 |
| 0.8254 | 0.27 | 46000 | 0.8170 | 0.7414 |
### Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1
- Datasets 1.6.1
- Tokenizers 0.10.3
|
{"license": "apache-2.0", "tags": ["generated_from_trainer", "sibyl"], "datasets": ["yahoo_answers_topics"], "metrics": ["accuracy"], "model-index": [{"name": "bert-base-uncased-yahoo_answers_topics", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "yahoo_answers_topics", "type": "yahoo_answers_topics", "args": "yahoo_answers_topics"}, "metrics": [{"type": "accuracy", "value": 0.7499166666666667, "name": "Accuracy"}]}]}]}
|
fabriceyhc/bert-base-uncased-yahoo_answers_topics
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:yahoo_answers_topics",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-classification
|
transformers
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-yelp_polarity
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the yelp_polarity dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3222
- Accuracy: 0.9516
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 277200
- training_steps: 2772000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8067 | 0.0 | 2000 | 0.8241 | 0.4975 |
| 0.5482 | 0.01 | 4000 | 0.3507 | 0.8591 |
| 0.3427 | 0.01 | 6000 | 0.3750 | 0.9139 |
| 0.4133 | 0.01 | 8000 | 0.5520 | 0.9016 |
| 0.4301 | 0.02 | 10000 | 0.3803 | 0.9304 |
| 0.3716 | 0.02 | 12000 | 0.4168 | 0.9337 |
| 0.4076 | 0.03 | 14000 | 0.5042 | 0.9170 |
| 0.3674 | 0.03 | 16000 | 0.4806 | 0.9268 |
| 0.3813 | 0.03 | 18000 | 0.4227 | 0.9261 |
| 0.3723 | 0.04 | 20000 | 0.3360 | 0.9418 |
| 0.3876 | 0.04 | 22000 | 0.3255 | 0.9407 |
| 0.3351 | 0.04 | 24000 | 0.3283 | 0.9404 |
| 0.34 | 0.05 | 26000 | 0.3489 | 0.9430 |
| 0.3006 | 0.05 | 28000 | 0.3302 | 0.9464 |
| 0.349 | 0.05 | 30000 | 0.3853 | 0.9375 |
| 0.3696 | 0.06 | 32000 | 0.2992 | 0.9454 |
| 0.3301 | 0.06 | 34000 | 0.3484 | 0.9464 |
| 0.3151 | 0.06 | 36000 | 0.3529 | 0.9455 |
| 0.3682 | 0.07 | 38000 | 0.3052 | 0.9420 |
| 0.3184 | 0.07 | 40000 | 0.3323 | 0.9466 |
| 0.3207 | 0.08 | 42000 | 0.3133 | 0.9532 |
| 0.3346 | 0.08 | 44000 | 0.3826 | 0.9414 |
| 0.3008 | 0.08 | 46000 | 0.3059 | 0.9484 |
| 0.3306 | 0.09 | 48000 | 0.3089 | 0.9475 |
| 0.342 | 0.09 | 50000 | 0.3611 | 0.9486 |
| 0.3424 | 0.09 | 52000 | 0.3227 | 0.9445 |
| 0.3044 | 0.1 | 54000 | 0.3130 | 0.9489 |
| 0.3278 | 0.1 | 56000 | 0.3827 | 0.9368 |
| 0.288 | 0.1 | 58000 | 0.3080 | 0.9504 |
| 0.3342 | 0.11 | 60000 | 0.3252 | 0.9471 |
| 0.3737 | 0.11 | 62000 | 0.4250 | 0.9343 |
### Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1
- Datasets 1.6.1
- Tokenizers 0.10.3
|
{"license": "apache-2.0", "tags": ["generated_from_trainer", "sibyl"], "datasets": ["yelp_polarity"], "metrics": ["accuracy"], "model-index": [{"name": "bert-base-uncased-yelp_polarity", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "yelp_polarity", "type": "yelp_polarity", "args": "plain_text"}, "metrics": [{"type": "accuracy", "value": 0.9516052631578947, "name": "Accuracy"}]}]}]}
|
fabriceyhc/bert-base-uncased-yelp_polarity
| null |
[
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:yelp_polarity",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
feature-extraction
|
transformers
|
# BART (base-sized model)
BART model pre-trained on English language. It was introduced in the paper [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://arxiv.org/abs/1910.13461) by Lewis et al. and first released in [this repository](https://github.com/pytorch/fairseq/tree/master/examples/bart).
Disclaimer: The team releasing BART did not write a model card for this model so this model card has been written by the Hugging Face team.
## Model description
BART is a transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
BART is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering).
## Intended uses & limitations
You can use the raw model for text infilling. However, the model is mostly meant to be fine-tuned on a supervised dataset. See the [model hub](https://huggingface.co/models?search=bart) to look for fine-tuned versions on a task that interests you.
### How to use
Here is how to use this model in PyTorch:
```python
from transformers import BartTokenizer, BartModel
tokenizer = BartTokenizer.from_pretrained('facebook/bart-base')
model = BartModel.from_pretrained('facebook/bart-base')
inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
outputs = model(**inputs)
last_hidden_states = outputs.last_hidden_state
```
### BibTeX entry and citation info
```bibtex
@article{DBLP:journals/corr/abs-1910-13461,
author = {Mike Lewis and
Yinhan Liu and
Naman Goyal and
Marjan Ghazvininejad and
Abdelrahman Mohamed and
Omer Levy and
Veselin Stoyanov and
Luke Zettlemoyer},
title = {{BART:} Denoising Sequence-to-Sequence Pre-training for Natural Language
Generation, Translation, and Comprehension},
journal = {CoRR},
volume = {abs/1910.13461},
year = {2019},
url = {http://arxiv.org/abs/1910.13461},
eprinttype = {arXiv},
eprint = {1910.13461},
timestamp = {Thu, 31 Oct 2019 14:02:26 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1910-13461.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
|
{"language": "en", "license": "apache-2.0"}
|
facebook/bart-base
| null |
[
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bart",
"feature-extraction",
"en",
"arxiv:1910.13461",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
summarization
|
transformers
|
# BART (large-sized model), fine-tuned on CNN Daily Mail
BART model pre-trained on English language, and fine-tuned on [CNN Daily Mail](https://huggingface.co/datasets/cnn_dailymail). It was introduced in the paper [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://arxiv.org/abs/1910.13461) by Lewis et al. and first released in [this repository (https://github.com/pytorch/fairseq/tree/master/examples/bart).
Disclaimer: The team releasing BART did not write a model card for this model so this model card has been written by the Hugging Face team.
## Model description
BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
BART is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering). This particular checkpoint has been fine-tuned on CNN Daily Mail, a large collection of text-summary pairs.
## Intended uses & limitations
You can use this model for text summarization.
### How to use
Here is how to use this model with the [pipeline API](https://huggingface.co/transformers/main_classes/pipelines.html):
```python
from transformers import pipeline
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
ARTICLE = """ New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County, New York.
A year later, she got married again in Westchester County, but to a different man and without divorcing her first husband.
Only 18 days after that marriage, she got hitched yet again. Then, Barrientos declared "I do" five more times, sometimes only within two weeks of each other.
In 2010, she married once more, this time in the Bronx. In an application for a marriage license, she stated it was her "first and only" marriage.
Barrientos, now 39, is facing two criminal counts of "offering a false instrument for filing in the first degree," referring to her false statements on the
2010 marriage license application, according to court documents.
Prosecutors said the marriages were part of an immigration scam.
On Friday, she pleaded not guilty at State Supreme Court in the Bronx, according to her attorney, Christopher Wright, who declined to comment further.
After leaving court, Barrientos was arrested and charged with theft of service and criminal trespass for allegedly sneaking into the New York subway through an emergency exit, said Detective
Annette Markowski, a police spokeswoman. In total, Barrientos has been married 10 times, with nine of her marriages occurring between 1999 and 2002.
All occurred either in Westchester County, Long Island, New Jersey or the Bronx. She is believed to still be married to four men, and at one time, she was married to eight men at once, prosecutors say.
Prosecutors said the immigration scam involved some of her husbands, who filed for permanent residence status shortly after the marriages.
Any divorces happened only after such filings were approved. It was unclear whether any of the men will be prosecuted.
The case was referred to the Bronx District Attorney\'s Office by Immigration and Customs Enforcement and the Department of Homeland Security\'s
Investigation Division. Seven of the men are from so-called "red-flagged" countries, including Egypt, Turkey, Georgia, Pakistan and Mali.
Her eighth husband, Rashid Rajput, was deported in 2006 to his native Pakistan after an investigation by the Joint Terrorism Task Force.
If convicted, Barrientos faces up to four years in prison. Her next court appearance is scheduled for May 18.
"""
print(summarizer(ARTICLE, max_length=130, min_length=30, do_sample=False))
>>> [{'summary_text': 'Liana Barrientos, 39, is charged with two counts of "offering a false instrument for filing in the first degree" In total, she has been married 10 times, with nine of her marriages occurring between 1999 and 2002. She is believed to still be married to four men.'}]
```
### BibTeX entry and citation info
```bibtex
@article{DBLP:journals/corr/abs-1910-13461,
author = {Mike Lewis and
Yinhan Liu and
Naman Goyal and
Marjan Ghazvininejad and
Abdelrahman Mohamed and
Omer Levy and
Veselin Stoyanov and
Luke Zettlemoyer},
title = {{BART:} Denoising Sequence-to-Sequence Pre-training for Natural Language
Generation, Translation, and Comprehension},
journal = {CoRR},
volume = {abs/1910.13461},
year = {2019},
url = {http://arxiv.org/abs/1910.13461},
eprinttype = {arXiv},
eprint = {1910.13461},
timestamp = {Thu, 31 Oct 2019 14:02:26 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1910-13461.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
|
{"language": ["en"], "license": "mit", "datasets": ["cnn_dailymail"], "pipeline_tag": "summarization", "thumbnail": "https://huggingface.co/front/thumbnails/facebook.png", "model-index": [{"name": "facebook/bart-large-cnn", "results": [{"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "cnn_dailymail", "type": "cnn_dailymail", "config": "3.0.0", "split": "train"}, "metrics": [{"type": "rouge", "value": 42.9486, "name": "ROUGE-1", "verified": true}, {"type": "rouge", "value": 20.8149, "name": "ROUGE-2", "verified": true}, {"type": "rouge", "value": 30.6186, "name": "ROUGE-L", "verified": true}, {"type": "rouge", "value": 40.0376, "name": "ROUGE-LSUM", "verified": true}, {"type": "loss", "value": 2.529000997543335, "name": "loss", "verified": true}, {"type": "gen_len", "value": 78.5866, "name": "gen_len", "verified": true}]}]}]}
|
facebook/bart-large-cnn
| null |
[
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"arxiv:1910.13461",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
zero-shot-classification
|
transformers
|
# bart-large-mnli
This is the checkpoint for [bart-large](https://huggingface.co/facebook/bart-large) after being trained on the [MultiNLI (MNLI)](https://huggingface.co/datasets/multi_nli) dataset.
Additional information about this model:
- The [bart-large](https://huggingface.co/facebook/bart-large) model page
- [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
](https://arxiv.org/abs/1910.13461)
- [BART fairseq implementation](https://github.com/pytorch/fairseq/tree/master/fairseq/models/bart)
## NLI-based Zero Shot Text Classification
[Yin et al.](https://arxiv.org/abs/1909.00161) proposed a method for using pre-trained NLI models as a ready-made zero-shot sequence classifiers. The method works by posing the sequence to be classified as the NLI premise and to construct a hypothesis from each candidate label. For example, if we want to evaluate whether a sequence belongs to the class "politics", we could construct a hypothesis of `This text is about politics.`. The probabilities for entailment and contradiction are then converted to label probabilities.
This method is surprisingly effective in many cases, particularly when used with larger pre-trained models like BART and Roberta. See [this blog post](https://joeddav.github.io/blog/2020/05/29/ZSL.html) for a more expansive introduction to this and other zero shot methods, and see the code snippets below for examples of using this model for zero-shot classification both with Hugging Face's built-in pipeline and with native Transformers/PyTorch code.
#### With the zero-shot classification pipeline
The model can be loaded with the `zero-shot-classification` pipeline like so:
```python
from transformers import pipeline
classifier = pipeline("zero-shot-classification",
model="facebook/bart-large-mnli")
```
You can then use this pipeline to classify sequences into any of the class names you specify.
```python
sequence_to_classify = "one day I will see the world"
candidate_labels = ['travel', 'cooking', 'dancing']
classifier(sequence_to_classify, candidate_labels)
#{'labels': ['travel', 'dancing', 'cooking'],
# 'scores': [0.9938651323318481, 0.0032737774308770895, 0.002861034357920289],
# 'sequence': 'one day I will see the world'}
```
If more than one candidate label can be correct, pass `multi_label=True` to calculate each class independently:
```python
candidate_labels = ['travel', 'cooking', 'dancing', 'exploration']
classifier(sequence_to_classify, candidate_labels, multi_label=True)
#{'labels': ['travel', 'exploration', 'dancing', 'cooking'],
# 'scores': [0.9945111274719238,
# 0.9383890628814697,
# 0.0057061901316046715,
# 0.0018193122232332826],
# 'sequence': 'one day I will see the world'}
```
#### With manual PyTorch
```python
# pose sequence as a NLI premise and label as a hypothesis
from transformers import AutoModelForSequenceClassification, AutoTokenizer
nli_model = AutoModelForSequenceClassification.from_pretrained('facebook/bart-large-mnli')
tokenizer = AutoTokenizer.from_pretrained('facebook/bart-large-mnli')
premise = sequence
hypothesis = f'This example is {label}.'
# run through model pre-trained on MNLI
x = tokenizer.encode(premise, hypothesis, return_tensors='pt',
truncation_strategy='only_first')
logits = nli_model(x.to(device))[0]
# we throw away "neutral" (dim 1) and take the probability of
# "entailment" (2) as the probability of the label being true
entail_contradiction_logits = logits[:,[0,2]]
probs = entail_contradiction_logits.softmax(dim=1)
prob_label_is_true = probs[:,1]
```
|
{"license": "mit", "datasets": ["multi_nli"], "thumbnail": "https://huggingface.co/front/thumbnails/facebook.png", "pipeline_tag": "zero-shot-classification"}
|
facebook/bart-large-mnli
| null |
[
"transformers",
"pytorch",
"jax",
"rust",
"safetensors",
"bart",
"text-classification",
"zero-shot-classification",
"dataset:multi_nli",
"arxiv:1910.13461",
"arxiv:1909.00161",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
summarization
|
transformers
|
### Bart model finetuned on xsum
docs: https://huggingface.co/transformers/model_doc/bart.html
finetuning: examples/seq2seq/ (as of Aug 20, 2020)
Metrics: ROUGE > 22 on xsum.
variants: search for distilbart
paper: https://arxiv.org/abs/1910.13461
|
{"language": ["en"], "license": "mit", "tags": ["summarization"], "model-index": [{"name": "facebook/bart-large-xsum", "results": [{"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "cnn_dailymail", "type": "cnn_dailymail", "config": "3.0.0", "split": "test"}, "metrics": [{"type": "rouge", "value": 25.2697, "name": "ROUGE-1", "verified": true}, {"type": "rouge", "value": 7.6638, "name": "ROUGE-2", "verified": true}, {"type": "rouge", "value": 17.1808, "name": "ROUGE-L", "verified": true}, {"type": "rouge", "value": 21.7933, "name": "ROUGE-LSUM", "verified": true}, {"type": "loss", "value": 3.5042972564697266, "name": "loss", "verified": true}, {"type": "gen_len", "value": 27.4462, "name": "gen_len", "verified": true}]}, {"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "xsum", "type": "xsum", "config": "default", "split": "test"}, "metrics": [{"type": "rouge", "value": 45.4525, "name": "ROUGE-1", "verified": true}, {"type": "rouge", "value": 22.3455, "name": "ROUGE-2", "verified": true}, {"type": "rouge", "value": 37.2302, "name": "ROUGE-L", "verified": true}, {"type": "rouge", "value": 37.2323, "name": "ROUGE-LSUM", "verified": true}, {"type": "loss", "value": 2.3128726482391357, "name": "loss", "verified": true}, {"type": "gen_len", "value": 25.5435, "name": "gen_len", "verified": true}]}, {"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "samsum", "type": "samsum", "config": "samsum", "split": "train"}, "metrics": [{"type": "rouge", "value": 24.7852, "name": "ROUGE-1", "verified": true}, {"type": "rouge", "value": 5.2533, "name": "ROUGE-2", "verified": true}, {"type": "rouge", "value": 18.6792, "name": "ROUGE-L", "verified": true}, {"type": "rouge", "value": 20.629, "name": "ROUGE-LSUM", "verified": true}, {"type": "loss", "value": 3.746837854385376, "name": "loss", "verified": true}, {"type": "gen_len", "value": 23.1206, "name": "gen_len", "verified": true}]}, {"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "samsum", "type": "samsum", "config": "samsum", "split": "test"}, "metrics": [{"type": "rouge", "value": 24.9158, "name": "ROUGE-1", "verified": true}, {"type": "rouge", "value": 5.5837, "name": "ROUGE-2", "verified": true}, {"type": "rouge", "value": 18.8935, "name": "ROUGE-L", "verified": true}, {"type": "rouge", "value": 20.76, "name": "ROUGE-LSUM", "verified": true}, {"type": "loss", "value": 3.775235891342163, "name": "loss", "verified": true}, {"type": "gen_len", "value": 23.0928, "name": "gen_len", "verified": true}]}]}]}
|
facebook/bart-large-xsum
| null |
[
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"bart",
"text2text-generation",
"summarization",
"en",
"arxiv:1910.13461",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
feature-extraction
|
transformers
|
# BART (large-sized model)
BART model pre-trained on English language. It was introduced in the paper [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://arxiv.org/abs/1910.13461) by Lewis et al. and first released in [this repository](https://github.com/pytorch/fairseq/tree/master/examples/bart).
Disclaimer: The team releasing BART did not write a model card for this model so this model card has been written by the Hugging Face team.
## Model description
BART is a transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
BART is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering).
## Intended uses & limitations
You can use the raw model for text infilling. However, the model is mostly meant to be fine-tuned on a supervised dataset. See the [model hub](https://huggingface.co/models?search=bart) to look for fine-tuned versions on a task that interests you.
### How to use
Here is how to use this model in PyTorch:
```python
from transformers import BartTokenizer, BartModel
tokenizer = BartTokenizer.from_pretrained('facebook/bart-large')
model = BartModel.from_pretrained('facebook/bart-large')
inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
outputs = model(**inputs)
last_hidden_states = outputs.last_hidden_state
```
### BibTeX entry and citation info
```bibtex
@article{DBLP:journals/corr/abs-1910-13461,
author = {Mike Lewis and
Yinhan Liu and
Naman Goyal and
Marjan Ghazvininejad and
Abdelrahman Mohamed and
Omer Levy and
Veselin Stoyanov and
Luke Zettlemoyer},
title = {{BART:} Denoising Sequence-to-Sequence Pre-training for Natural Language
Generation, Translation, and Comprehension},
journal = {CoRR},
volume = {abs/1910.13461},
year = {2019},
url = {http://arxiv.org/abs/1910.13461},
eprinttype = {arXiv},
eprint = {1910.13461},
timestamp = {Thu, 31 Oct 2019 14:02:26 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1910-13461.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
|
{"language": "en", "license": "apache-2.0"}
|
facebook/bart-large
| null |
[
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"bart",
"feature-extraction",
"en",
"arxiv:1910.13461",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-generation
|
transformers
|
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes/)
### Abstract
Building open-domain chatbots is a challenging area for machine learning research. While prior work has shown that scaling neural models in the number of parameters and the size of the data they are trained on gives improved results, we show that other ingredients are important for a high-performing chatbot. Good conversation requires a number of skills that an expert conversationalist blends in a seamless way: providing engaging talking points and listening to their partners, both asking and answering questions, and displaying knowledge, empathy and personality appropriately, depending on the situation. We show that large scale models can learn these skills when given appropriate training data and choice of generation strategy. We build variants of these recipes with 90M, 2.7B and 9.4B parameter neural models, and make our models and code publicly available. Human evaluations show our best models are superior to existing approaches in multi-turn dialogue in terms of engagingness and humanness measurements. We then discuss the limitations of this work by analyzing failure cases of our models.
|
{"language": ["en"], "license": "apache-2.0", "tags": ["convAI", "conversational", "facebook"], "datasets": ["blended_skill_talk"], "metrics": ["perplexity"]}
|
facebook/blenderbot-1B-distill
| null |
[
"transformers",
"pytorch",
"blenderbot",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-generation
|
transformers
|
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes/)
### Abstract
Building open-domain chatbots is a challenging area for machine learning research. While prior work has shown that scaling neural models in the number of parameters and the size of the data they are trained on gives improved results, we show that other ingredients are important for a high-performing chatbot. Good conversation requires a number of skills that an expert conversationalist blends in a seamless way: providing engaging talking points and listening to their partners, both asking and answering questions, and displaying knowledge, empathy and personality appropriately, depending on the situation. We show that large scale models can learn these skills when given appropriate training data and choice of generation strategy. We build variants of these recipes with 90M, 2.7B and 9.4B parameter neural models, and make our models and code publicly available. Human evaluations show our best models are superior to existing approaches in multi-turn dialogue in terms of engagingness and humanness measurements. We then discuss the limitations of this work by analyzing failure cases of our models.
|
{"language": ["en"], "license": "apache-2.0", "tags": ["convAI", "conversational", "facebook"], "datasets": ["blended_skill_talk"], "metrics": ["perplexity"]}
|
facebook/blenderbot-3B
| null |
[
"transformers",
"pytorch",
"blenderbot",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-generation
|
transformers
|
## Model description
+ Paper: [Recipes for building an open-domain chatbot]( https://arxiv.org/abs/2004.13637)
+ [Original PARLAI Code](https://parl.ai/projects/recipes/)
### Abstract
Building open-domain chatbots is a challenging area for machine learning research. While prior work has shown that scaling neural models in the number of parameters and the size of the data they are trained on gives improved results, we show that other ingredients are important for a high-performing chatbot. Good conversation requires a number of skills that an expert conversationalist blends in a seamless way: providing engaging talking points and listening to their partners, both asking and answering questions, and displaying knowledge, empathy and personality appropriately, depending on the situation. We show that large scale models can learn these skills when given appropriate training data and choice of generation strategy. We build variants of these recipes with 90M, 2.7B and 9.4B parameter neural models, and make our models and code publicly available. Human evaluations show our best models are superior to existing approaches in multi-turn dialogue in terms of engagingness and humanness measurements. We then discuss the limitations of this work by analyzing failure cases of our models.
|
{"language": ["en"], "license": "apache-2.0", "tags": ["convAI", "conversational", "facebook"], "datasets": ["blended_skill_talk"], "metrics": ["perplexity"]}
|
facebook/blenderbot-400M-distill
| null |
[
"transformers",
"pytorch",
"tf",
"jax",
"blenderbot",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:2004.13637",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-generation
|
transformers
|
# 🚨🚨**IMPORTANT**🚨🚨
**This model is deprecated! Please use the identical model** **https://huggingface.co/facebook/blenderbot_small-90M instead**
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes/)
### Abstract
Building open-domain chatbots is a challenging area for machine learning research. While prior work has shown that scaling neural models in the number of parameters and the size of the data they are trained on gives improved results, we show that other ingredients are important for a high-performing chatbot. Good conversation requires a number of skills that an expert conversationalist blends in a seamless way: providing engaging talking points and listening to their partners, both asking and answering questions, and displaying knowledge, empathy and personality appropriately, depending on the situation. We show that large scale models can learn these skills when given appropriate training data and choice of generation strategy. We build variants of these recipes with 90M, 2.7B and 9.4B parameter neural models, and make our models and code publicly available. Human evaluations show our best models are superior to existing approaches in multi-turn dialogue in terms of engagingness and humanness measurements. We then discuss the limitations of this work by analyzing failure cases of our models.
|
{"language": ["en"], "license": "apache-2.0", "tags": ["convAI", "conversational", "facebook"], "datasets": ["blended_skill_talk"], "metrics": ["perplexity"]}
|
facebook/blenderbot-90M
| null |
[
"transformers",
"pytorch",
"blenderbot-small",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
text-generation
|
transformers
|
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes/)
### Abstract
Building open-domain chatbots is a challenging area for machine learning research. While prior work has shown that scaling neural models in the number of parameters and the size of the data they are trained on gives improved results, we show that other ingredients are important for a high-performing chatbot. Good conversation requires a number of skills that an expert conversationalist blends in a seamless way: providing engaging talking points and listening to their partners, both asking and answering questions, and displaying knowledge, empathy and personality appropriately, depending on the situation. We show that large scale models can learn these skills when given appropriate training data and choice of generation strategy. We build variants of these recipes with 90M, 2.7B and 9.4B parameter neural models, and make our models and code publicly available. Human evaluations show our best models are superior to existing approaches in multi-turn dialogue in terms of engagingness and humanness measurements. We then discuss the limitations of this work by analyzing failure cases of our models.
|
{"language": ["en"], "license": "apache-2.0", "tags": ["convAI", "conversational", "facebook"], "datasets": ["blended_skill_talk"], "metrics": ["perplexity"]}
|
facebook/blenderbot_small-90M
| null |
[
"transformers",
"pytorch",
"tf",
"jax",
"blenderbot-small",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
feature-extraction
|
transformers
|
This model is the finetuned version of the pre-trained contriever model available here https://huggingface.co/facebook/contriever, following the approach described in [Towards Unsupervised Dense Information Retrieval with Contrastive Learning](https://arxiv.org/abs/2112.09118). The associated GitHub repository is available here https://github.com/facebookresearch/contriever.
## Usage (HuggingFace Transformers)
Using the model directly available in HuggingFace transformers requires to add a mean pooling operation to obtain a sentence embedding.
```python
import torch
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained('facebook/contriever-msmarco')
model = AutoModel.from_pretrained('facebook/contriever-msmarco')
sentences = [
"Where was Marie Curie born?",
"Maria Sklodowska, later known as Marie Curie, was born on November 7, 1867.",
"Born in Paris on 15 May 1859, Pierre Curie was the son of Eugène Curie, a doctor of French Catholic origin from Alsace."
]
# Apply tokenizer
inputs = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
# Compute token embeddings
outputs = model(**inputs)
# Mean pooling
def mean_pooling(token_embeddings, mask):
token_embeddings = token_embeddings.masked_fill(~mask[..., None].bool(), 0.)
sentence_embeddings = token_embeddings.sum(dim=1) / mask.sum(dim=1)[..., None]
return sentence_embeddings
embeddings = mean_pooling(outputs[0], inputs['attention_mask'])
```
|
{"tags": ["feature-extraction"], "pipeline_tag": "feature-extraction"}
|
facebook/contriever-msmarco
| null |
[
"transformers",
"pytorch",
"bert",
"feature-extraction",
"arxiv:2112.09118",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
null |
transformers
|
This model has been trained without supervision following the approach described in [Towards Unsupervised Dense Information Retrieval with Contrastive Learning](https://arxiv.org/abs/2112.09118). The associated GitHub repository is available here https://github.com/facebookresearch/contriever.
## Usage (HuggingFace Transformers)
Using the model directly available in HuggingFace transformers requires to add a mean pooling operation to obtain a sentence embedding.
```python
import torch
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained('facebook/contriever')
model = AutoModel.from_pretrained('facebook/contriever')
sentences = [
"Where was Marie Curie born?",
"Maria Sklodowska, later known as Marie Curie, was born on November 7, 1867.",
"Born in Paris on 15 May 1859, Pierre Curie was the son of Eugène Curie, a doctor of French Catholic origin from Alsace."
]
# Apply tokenizer
inputs = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
# Compute token embeddings
outputs = model(**inputs)
# Mean pooling
def mean_pooling(token_embeddings, mask):
token_embeddings = token_embeddings.masked_fill(~mask[..., None].bool(), 0.)
sentence_embeddings = token_embeddings.sum(dim=1) / mask.sum(dim=1)[..., None]
return sentence_embeddings
embeddings = mean_pooling(outputs[0], inputs['attention_mask'])
```
|
{}
|
facebook/contriever
| null |
[
"transformers",
"pytorch",
"bert",
"arxiv:2112.09118",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
image-classification
|
transformers
|
# ConvNeXT (base-sized model)
ConvNeXT model pre-trained on ImageNet-22k and fine-tuned on ImageNet-1k at resolution 224x224. It was introduced in the paper [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) by Liu et al. and first released in [this repository](https://github.com/facebookresearch/ConvNeXt).
Disclaimer: The team releasing ConvNeXT did not write a model card for this model so this model card has been written by the Hugging Face team.
## Model description
ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. The authors started from a ResNet and "modernized" its design by taking the Swin Transformer as inspiration.
## Intended uses & limitations
You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=convnext) to look for
fine-tuned versions on a task that interests you.
### How to use
Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
```python
from transformers import ConvNextFeatureExtractor, ConvNextForImageClassification
import torch
from datasets import load_dataset
dataset = load_dataset("huggingface/cats-image")
image = dataset["test"]["image"][0]
feature_extractor = ConvNextFeatureExtractor.from_pretrained("facebook/convnext-base-224-22k-1k")
model = ConvNextForImageClassification.from_pretrained("facebook/convnext-base-384-224-1k")
inputs = feature_extractor(image, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
# model predicts one of the 1000 ImageNet classes
predicted_label = logits.argmax(-1).item()
print(model.config.id2label[predicted_label]),
```
For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/convnext).
### BibTeX entry and citation info
```bibtex
@article{DBLP:journals/corr/abs-2201-03545,
author = {Zhuang Liu and
Hanzi Mao and
Chao{-}Yuan Wu and
Christoph Feichtenhofer and
Trevor Darrell and
Saining Xie},
title = {A ConvNet for the 2020s},
journal = {CoRR},
volume = {abs/2201.03545},
year = {2022},
url = {https://arxiv.org/abs/2201.03545},
eprinttype = {arXiv},
eprint = {2201.03545},
timestamp = {Thu, 20 Jan 2022 14:21:35 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-03545.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
|
{"license": "apache-2.0", "tags": ["vision", "image-classification"], "datasets": ["imagenet-21k", "imagenet-1k"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "example_title": "Teapot"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", "example_title": "Palace"}]}
|
facebook/convnext-base-224-22k-1k
| null |
[
"transformers",
"pytorch",
"tf",
"safetensors",
"convnext",
"image-classification",
"vision",
"dataset:imagenet-21k",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
image-classification
|
transformers
|
# ConvNeXT (base-sized model)
ConvNeXT model trained on ImageNet-22k at resolution 224x224. It was introduced in the paper [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) by Liu et al. and first released in [this repository](https://github.com/facebookresearch/ConvNeXt).
Disclaimer: The team releasing ConvNeXT did not write a model card for this model so this model card has been written by the Hugging Face team.
## Model description
ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. The authors started from a ResNet and "modernized" its design by taking the Swin Transformer as inspiration.
## Intended uses & limitations
You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=convnext) to look for
fine-tuned versions on a task that interests you.
### How to use
Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
```python
from transformers import ConvNextImageProcessor, ConvNextForImageClassification
import torch
from datasets import load_dataset
dataset = load_dataset("huggingface/cats-image")
image = dataset["test"]["image"][0]
processor = ConvNextImageProcessor.from_pretrained("facebook/convnext-base-224-22k")
model = ConvNextForImageClassification.from_pretrained("facebook/convnext-base-224-22k")
inputs = processor(image, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
# model predicts one of the 22k ImageNet classes
predicted_label = logits.argmax(-1).item()
print(model.config.id2label[predicted_label]),
```
For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/convnext).
### BibTeX entry and citation info
```bibtex
@article{DBLP:journals/corr/abs-2201-03545,
author = {Zhuang Liu and
Hanzi Mao and
Chao{-}Yuan Wu and
Christoph Feichtenhofer and
Trevor Darrell and
Saining Xie},
title = {A ConvNet for the 2020s},
journal = {CoRR},
volume = {abs/2201.03545},
year = {2022},
url = {https://arxiv.org/abs/2201.03545},
eprinttype = {arXiv},
eprint = {2201.03545},
timestamp = {Thu, 20 Jan 2022 14:21:35 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-03545.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
|
{"license": "apache-2.0", "tags": ["vision", "image-classification"], "datasets": ["imagenet-21k"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "example_title": "Teapot"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", "example_title": "Palace"}]}
|
facebook/convnext-base-224-22k
| null |
[
"transformers",
"pytorch",
"tf",
"convnext",
"image-classification",
"vision",
"dataset:imagenet-21k",
"arxiv:2201.03545",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
image-classification
|
transformers
|
# ConvNeXT (base-sized model)
ConvNeXT model trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) by Liu et al. and first released in [this repository](https://github.com/facebookresearch/ConvNeXt).
Disclaimer: The team releasing ConvNeXT did not write a model card for this model so this model card has been written by the Hugging Face team.
## Model description
ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. The authors started from a ResNet and "modernized" its design by taking the Swin Transformer as inspiration.
## Intended uses & limitations
You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=convnext) to look for
fine-tuned versions on a task that interests you.
### How to use
Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
```python
from transformers import ConvNextImageProcessor, ConvNextForImageClassification
import torch
from datasets import load_dataset
dataset = load_dataset("huggingface/cats-image")
image = dataset["test"]["image"][0]
processor = ConvNextImageProcessor.from_pretrained("facebook/convnext-base-224")
model = ConvNextForImageClassification.from_pretrained("facebook/convnext-base-224")
inputs = processor(image, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
# model predicts one of the 1000 ImageNet classes
predicted_label = logits.argmax(-1).item()
print(model.config.id2label[predicted_label]),
```
For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/convnext).
### BibTeX entry and citation info
```bibtex
@article{DBLP:journals/corr/abs-2201-03545,
author = {Zhuang Liu and
Hanzi Mao and
Chao{-}Yuan Wu and
Christoph Feichtenhofer and
Trevor Darrell and
Saining Xie},
title = {A ConvNet for the 2020s},
journal = {CoRR},
volume = {abs/2201.03545},
year = {2022},
url = {https://arxiv.org/abs/2201.03545},
eprinttype = {arXiv},
eprint = {2201.03545},
timestamp = {Thu, 20 Jan 2022 14:21:35 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-03545.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
|
{"license": "apache-2.0", "tags": ["vision", "image-classification"], "datasets": ["imagenet-1k"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "example_title": "Teapot"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", "example_title": "Palace"}]}
|
facebook/convnext-base-224
| null |
[
"transformers",
"pytorch",
"tf",
"convnext",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
image-classification
|
transformers
|
# ConvNeXT (base-sized model)
ConvNeXT model pre-trained on ImageNet-22k and fine-tuned on ImageNet-1k at resolution 384x384. It was introduced in the paper [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) by Liu et al. and first released in [this repository](https://github.com/facebookresearch/ConvNeXt).
Disclaimer: The team releasing ConvNeXT did not write a model card for this model so this model card has been written by the Hugging Face team.
## Model description
ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. The authors started from a ResNet and "modernized" its design by taking the Swin Transformer as inspiration.
## Intended uses & limitations
You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=convnext) to look for
fine-tuned versions on a task that interests you.
### How to use
Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
```python
from transformers import ConvNextImageProcessor, ConvNextForImageClassification
import torch
from datasets import load_dataset
dataset = load_dataset("huggingface/cats-image")
image = dataset["test"]["image"][0]
processor = ConvNextImageProcessor.from_pretrained("facebook/convnext-base-384-22k-1k")
model = ConvNextForImageClassification.from_pretrained("facebook/convnext-base-384-22k-1k")
inputs = processor(image, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
# model predicts one of the 1000 ImageNet classes
predicted_label = logits.argmax(-1).item()
print(model.config.id2label[predicted_label]),
```
For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/convnext).
### BibTeX entry and citation info
```bibtex
@article{DBLP:journals/corr/abs-2201-03545,
author = {Zhuang Liu and
Hanzi Mao and
Chao{-}Yuan Wu and
Christoph Feichtenhofer and
Trevor Darrell and
Saining Xie},
title = {A ConvNet for the 2020s},
journal = {CoRR},
volume = {abs/2201.03545},
year = {2022},
url = {https://arxiv.org/abs/2201.03545},
eprinttype = {arXiv},
eprint = {2201.03545},
timestamp = {Thu, 20 Jan 2022 14:21:35 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-03545.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
|
{"license": "apache-2.0", "tags": ["vision", "image-classification"], "datasets": ["imagenet-21k", "imagenet-1k"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "example_title": "Teapot"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", "example_title": "Palace"}]}
|
facebook/convnext-base-384-22k-1k
| null |
[
"transformers",
"pytorch",
"tf",
"convnext",
"image-classification",
"vision",
"dataset:imagenet-21k",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null |
2022-03-02T23:29:05+00:00
|
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