KennethEnevoldsen
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Updated model to v 0.2.0
Browse files- .gitattributes +1 -0
- README.md +50 -168
- config.cfg +189 -91
- coref/cfg +3 -0
- transformer/model/pytorch_model.bin → coref/model +2 -2
- da_dacy_large_trf-any-py3-none-any.whl +2 -2
- entity_linker/cfg +3 -0
- entity_linker/kb/contents +3 -0
- transformer/model/sentencepiece.bpe.model → entity_linker/kb/strings.json +2 -2
- entity_linker/model +3 -0
- meta.json +451 -347
- morphologizer/cfg +221 -217
- morphologizer/model +2 -2
- ner/model +1 -1
- ner/moves +1 -1
- parser/model +2 -2
- parser/moves +1 -1
- span_resolver/cfg +3 -0
- span_resolver/model +3 -0
- tagger/cfg +23 -0
- tagger/model +3 -0
- tokenizer +0 -0
- trainable_lemmatizer/cfg +348 -0
- trainable_lemmatizer/model +3 -0
- trainable_lemmatizer/trees +0 -0
- transformer/model +3 -0
- transformer/model/config.json +0 -27
- transformer/model/special_tokens_map.json +0 -1
- transformer/model/tokenizer_config.json +0 -1
- vocab/lookups.bin +2 -2
- vocab/strings.json +2 -2
- vocab/vectors.cfg +3 -0
.gitattributes
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*strings.json filter=lfs diff=lfs merge=lfs -text
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vectors filter=lfs diff=lfs merge=lfs -text
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model filter=lfs diff=lfs merge=lfs -text
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*strings.json filter=lfs diff=lfs merge=lfs -text
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vectors filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- spacy
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- token-classification
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language:
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- da
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license: apache-2.0
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datasets:
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- dane
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model-index:
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- name: da_dacy_large_trf
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results:
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- task:
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name: NER
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type: token-classification
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8902439024
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- name: NER Recall
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type: recall
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value: 0.9125
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- name: NER F Score
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type: f_score
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value: 0.9012345679
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- task:
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name: SENTER
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type: token-classification
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metrics:
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- name: SENTER Precision
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type: precision
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value: 0.9608540925
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- name: SENTER Recall
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type: recall
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value: 0.9574468085
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- name: SENTER F Score
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type: f_score
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value: 0.9591474245
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Dependencies Accuracy
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type: accuracy
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value: 0.9074560179
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Dependencies Accuracy
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type: accuracy
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value: 0.9074560179
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---
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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# DaCy large
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DaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines.
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DaCy's largest pipeline has achieved State-of-the-Art performance on
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parsing for Danish on the
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DaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_dacy_large_trf` |
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| **Version** | `0.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `
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| **Components** | `transformer`, `morphologizer`, `parser`, `
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [UD Danish DDT v2.
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| **License** | `Apache-2.0
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| **Author** | [
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### Label Scheme
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<details>
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<summary>View label scheme (
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| Component | Labels |
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| --- | --- |
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| **`
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| **`
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| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
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</details>
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| Type | Score |
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### Stochastic Augmentations
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Stochastic augmentations are augmentation which are repeated mulitple times to estimate the effect of the augmentation.
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| Augmentation | Part-of-speech tagging (Accuracy) | Morphological tagging (Accuracy) | Dependency Parsing (UAS) | Dependency Parsing (LAS) | Sentence segmentation (F1) | Lemmatization (Accuracy) | Named entity recognition (F1) |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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| Keystroke errors 2% | 0.949 (0.002) | 0.944 (0.002) | 0.868 (0.002) | 0.833 (0.002) | 0.965 (0.002) | 0.773 (0.002) | 0.775 (0.002) |
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| Keystroke errors 5% | 0.895 (0.003) | 0.893 (0.003) | 0.81 (0.003) | 0.76 (0.003) | 0.92 (0.003) | 0.68 (0.003) | 0.698 (0.003) |
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| Keystroke errors 15% | 0.705 (0.005) | 0.72 (0.005) | 0.6 (0.005) | 0.518 (0.005) | 0.801 (0.005) | 0.462 (0.005) | 0.506 (0.005) |
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| Danish names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.987 (0.0) | 0.847 (0.0) | 0.844 (0.0) |
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| Muslim names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.987 (0.0) | 0.847 (0.0) | 0.844 (0.0) |
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| Female names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.986 (0.0) | 0.847 (0.0) | 0.846 (0.0) |
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| Male names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.986 (0.0) | 0.846 (0.0) | 0.845 (0.0) |
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| Spacing Augmention 5% | 0.946 (0.002) | 0.941 (0.002) | 0.794 (0.002) | 0.771 (0.002) | 0.969 (0.002) | 0.812 (0.002) | 0.781 (0.002) |
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<details>
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<summary> Description of Augmenters </summary>
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**No augmentation:**
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Applies no augmentation to the DaNE test set.
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**Æøå Augmentation:**
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This augmentation replace the æ,ø, and å with their spelling variations ae, oe and aa respectively.
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**Lowercase:**
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This augmentation lowercases all text.
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**No Spacing:**
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This augmentation removed all spacing from the text.
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**Abbreviated first names:**
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This agmentation abbreviates the first names of entities. For instance 'Kenneth Enevoldsen' would turn to 'K. Enevoldsen'.
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**Keystroke errors 2%:**
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This agmentation simulate keystroke errors by replacing 2% of keys with a neighbouring key on a Danish QWERTY keyboard. As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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**Keystroke errors 5%:**
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This agmentation simulate keystroke errors by replacing 5% of keys with a neighbouring key on a Danish QWERTY keyboard. As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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**Keystroke errors 15%:**
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This agmentation simulate keystroke errors by replacing 15% of keys with a neighbouring key on a Danish QWERTY keyboard. As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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**Danish names:**
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This agmentation replace all names with Danish names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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**Muslim names:**
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This agmentation replace all names with Muslim names derived from Meldgaard (2005). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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**Female names:**
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This agmentation replace all names with Danish female names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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**Male names:**
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This agmentation replace all names with Danish male names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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**Spacing Augmention 5%:**
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This agmentation replace all names with Danish male names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.
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</details>
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<br />
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### Hardware
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This was run and trained on a Quadro RTX 8000 GPU.
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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# DaCy large
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DaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines.
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DaCy's largest pipeline has achieved State-of-the-Art performance on parts-of-speech tagging and dependency
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parsing for Danish on the Danish Dependency treebank as well as competitive performance on named entity recognition, named entity disambiguation and coreference resolution.
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To read more check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results.
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DaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_dacy_large_trf` |
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| **Version** | `0.2.0` |
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| **spaCy** | `>=3.5.2,<3.6.0` |
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| **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `ner`, `coref`, `span_resolver`, `span_cleaner`, `entity_linker` |
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| **Components** | `transformer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `ner`, `coref`, `span_resolver`, `span_cleaner`, `entity_linker` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [UD Danish DDT v2.11](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://huggingface.co/datasets/dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[DaCoref](https://huggingface.co/datasets/alexandrainst/dacoref) (Buch-Kromann, Matthias)<br />[DaNED](https://danlp-alexandra.readthedocs.io/en/stable/docs/datasets.html#daned) (Barrett, M. J., Lam, H., Wu, M., Lacroix, O., Plank, B., & Søgaard, A.)<br />[chcaa/dfm-encoder-large-v1](https://huggingface.co/chcaa/dfm-encoder-large-v1) (The Danish Foundation Models team) |
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| **License** | `Apache-2.0` |
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| **Author** | [Kenneth Enevoldsen](https://chcaa.io/#/) |
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### Label Scheme
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<details>
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<summary>View label scheme (211 labels for 4 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
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| **`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`, `NumType=Ord\|POS=ADJ`, `POS=CCONJ`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Sup\|POS=ADV`, `Degree=Pos\|POS=ADV`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Number=Plur\|POS=DET\|PronType=Ind`, `POS=ADP`, `POS=ADV\|PartType=Inf`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=ADP\|PartType=Inf`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `NumType=Card\|POS=NUM`, `Degree=Pos\|POS=ADJ`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=PART\|PartType=Inf`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Number=Plur\|POS=PRON\|PronType=Ind`, `POS=INTJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=PRON\|PronType=Dem`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Number=Plur\|POS=NUM`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=PRON`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Foreign=Yes\|POS=ADV`, `POS=NOUN`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Sup\|POS=ADJ`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Mood=Imp\|POS=VERB`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `POS=X`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=VERB\|VerbForm=Ger`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Foreign=Yes\|POS=X`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Rcp`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `POS=SYM`, `POS=DET\|PronType=Dem`, `Gender=Com\|Number=Sing\|POS=NUM`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `POS=VERB\|Tense=Pres`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NUM`, `Degree=Abs\|POS=ADV`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|POS=NOUN`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NUM`, `Definite=Def\|Number=Plur\|POS=NOUN`, `Case=Gen\|POS=NOUN`, `POS=AUX\|Tense=Pres\|VerbForm=Part` |
|
35 |
+
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `advmod:lmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `expl`, `fixed`, `flat`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:lmod`, `obl:tmod`, `punct`, `xcomp` |
|
36 |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
|
37 |
|
38 |
</details>
|
|
|
41 |
|
42 |
| Type | Score |
|
43 |
| --- | --- |
|
44 |
+
| `TOKEN_ACC` | 99.92 |
|
45 |
+
| `TOKEN_P` | 99.70 |
|
46 |
+
| `TOKEN_R` | 99.77 |
|
47 |
+
| `TOKEN_F` | 99.74 |
|
48 |
+
| `SENTS_P` | 100.00 |
|
49 |
+
| `SENTS_R` | 100.00 |
|
50 |
+
| `SENTS_F` | 100.00 |
|
51 |
+
| `TAG_ACC` | 99.14 |
|
52 |
+
| `POS_ACC` | 99.08 |
|
53 |
+
| `MORPH_ACC` | 98.80 |
|
54 |
+
| `MORPH_MICRO_P` | 99.45 |
|
55 |
+
| `MORPH_MICRO_R` | 99.32 |
|
56 |
+
| `MORPH_MICRO_F` | 99.39 |
|
57 |
+
| `DEP_UAS` | 92.81 |
|
58 |
+
| `DEP_LAS` | 90.80 |
|
59 |
+
| `ENTS_P` | 88.58 |
|
60 |
+
| `ENTS_R` | 86.20 |
|
61 |
+
| `ENTS_F` | 87.38 |
|
62 |
+
| `LEMMA_ACC` | 95.89 |
|
63 |
+
| `COREF_LEA_F1` | 46.72 |
|
64 |
+
| `COREF_LEA_PRECISION` | 45.91 |
|
65 |
+
| `COREF_LEA_RECALL` | 47.56 |
|
66 |
+
| `NEL_SCORE` | 34.29 |
|
67 |
+
| `NEL_MICRO_P` | 84.00 |
|
68 |
+
| `NEL_MICRO_R` | 21.54 |
|
69 |
+
| `NEL_MICRO_F` | 34.29 |
|
70 |
+
| `NEL_MACRO_P` | 86.71 |
|
71 |
+
| `NEL_MACRO_R` | 24.70 |
|
72 |
+
| `NEL_MACRO_F` | 37.28 |
|
73 |
+
|
74 |
+
|
75 |
+
|
76 |
+
### Training
|
77 |
+
This model was trained using [spaCy](https://spacy.io) and logged to [Weights & Biases](https://wandb.ai/kenevoldsen/dacy-v0.2.0). You can find all the training logs [here](https://wandb.ai/kenevoldsen/dacy-v0.2.0).
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config.cfg
CHANGED
@@ -1,54 +1,101 @@
|
|
1 |
[paths]
|
2 |
-
train =
|
3 |
-
dev =
|
4 |
-
vectors = null
|
5 |
-
raw = null
|
6 |
init_tok2vec = null
|
7 |
-
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|
8 |
|
9 |
[system]
|
10 |
gpu_allocator = "pytorch"
|
11 |
-
seed =
|
12 |
|
13 |
[nlp]
|
14 |
lang = "da"
|
15 |
-
pipeline = ["transformer","morphologizer","parser","
|
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|
16 |
disabled = []
|
17 |
before_creation = null
|
18 |
after_creation = null
|
19 |
after_pipeline_creation = null
|
20 |
-
batch_size = 64
|
21 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
22 |
|
23 |
[components]
|
24 |
|
25 |
-
[components.
|
26 |
-
factory = "
|
27 |
-
|
28 |
|
29 |
-
[components.
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
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|
34 |
|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
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|
37 |
|
38 |
[components.morphologizer.model]
|
39 |
-
@architectures = "spacy.Tagger.
|
40 |
nO = null
|
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|
41 |
|
42 |
[components.morphologizer.model.tok2vec]
|
43 |
@architectures = "spacy-transformers.TransformerListener.v1"
|
44 |
grad_factor = 1.0
|
45 |
-
upstream = "transformer"
|
46 |
pooling = {"@layers":"reduce_mean.v1"}
|
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|
47 |
|
48 |
[components.ner]
|
49 |
factory = "ner"
|
50 |
incorrect_spans_key = null
|
51 |
moves = null
|
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|
52 |
update_with_oracle_cut_size = 100
|
53 |
|
54 |
[components.ner.model]
|
@@ -63,96 +110,169 @@ nO = null
|
|
63 |
[components.ner.model.tok2vec]
|
64 |
@architectures = "spacy-transformers.TransformerListener.v1"
|
65 |
grad_factor = 1.0
|
66 |
-
upstream = "transformer"
|
67 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
68 |
|
69 |
[components.parser]
|
70 |
factory = "parser"
|
71 |
learn_tokens = false
|
72 |
min_action_freq = 30
|
73 |
moves = null
|
|
|
74 |
update_with_oracle_cut_size = 100
|
75 |
|
76 |
[components.parser.model]
|
77 |
@architectures = "spacy.TransitionBasedParser.v2"
|
78 |
state_type = "parser"
|
79 |
extra_state_tokens = false
|
80 |
-
hidden_width =
|
81 |
-
maxout_pieces =
|
82 |
use_upper = false
|
83 |
nO = null
|
84 |
|
85 |
[components.parser.model.tok2vec]
|
86 |
@architectures = "spacy-transformers.TransformerListener.v1"
|
87 |
grad_factor = 1.0
|
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|
88 |
upstream = "transformer"
|
89 |
pooling = {"@layers":"reduce_mean.v1"}
|
90 |
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|
91 |
[components.transformer]
|
92 |
factory = "transformer"
|
93 |
max_batch_items = 4096
|
94 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
95 |
|
96 |
[components.transformer.model]
|
97 |
-
@architectures = "spacy-transformers.TransformerModel.
|
98 |
-
name = "
|
|
|
99 |
|
100 |
[components.transformer.model.get_spans]
|
101 |
@span_getters = "spacy-transformers.strided_spans.v1"
|
102 |
-
window =
|
103 |
-
stride =
|
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|
104 |
|
105 |
[components.transformer.model.tokenizer_config]
|
106 |
use_fast = true
|
107 |
-
|
|
|
108 |
|
109 |
[corpora]
|
110 |
|
111 |
[corpora.dev]
|
112 |
@readers = "spacy.Corpus.v1"
|
113 |
-
|
114 |
-
max_length = 0
|
115 |
-
path = ${paths:dev}
|
116 |
gold_preproc = false
|
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|
117 |
augmenter = null
|
118 |
|
119 |
[corpora.train]
|
120 |
@readers = "spacy.Corpus.v1"
|
121 |
-
path = ${paths
|
122 |
-
max_length = 500
|
123 |
gold_preproc = false
|
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|
124 |
limit = 0
|
125 |
-
|
126 |
-
[corpora.train.augmenter]
|
127 |
-
@augmenters = "spacy.lower_case.v1"
|
128 |
-
level = 0.1
|
129 |
|
130 |
[training]
|
131 |
-
|
132 |
-
|
133 |
-
seed = ${system:seed}
|
134 |
-
gpu_allocator = ${system:gpu_allocator}
|
135 |
dropout = 0.1
|
136 |
-
accumulate_gradient =
|
137 |
-
patience =
|
138 |
max_epochs = 0
|
139 |
max_steps = 20000
|
140 |
-
eval_frequency =
|
141 |
frozen_components = []
|
142 |
-
before_to_disk = null
|
143 |
annotating_components = []
|
|
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|
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|
144 |
|
145 |
[training.batcher]
|
146 |
-
@batchers = "spacy.
|
147 |
-
discard_oversize =
|
|
|
148 |
get_length = null
|
149 |
-
|
150 |
-
|
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|
|
|
|
|
|
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|
|
151 |
|
152 |
[training.logger]
|
153 |
-
@loggers = "spacy.
|
154 |
-
|
155 |
-
remove_config_values = []
|
156 |
|
157 |
[training.optimizer]
|
158 |
@optimizers = "Adam.v1"
|
@@ -161,66 +281,44 @@ beta2 = 0.999
|
|
161 |
L2_is_weight_decay = true
|
162 |
L2 = 0.01
|
163 |
grad_clip = 1.0
|
164 |
-
use_averages =
|
165 |
eps = 0.00000001
|
166 |
-
|
167 |
-
[training.optimizer.learn_rate]
|
168 |
-
@schedules = "warmup_linear.v1"
|
169 |
-
warmup_steps = 250
|
170 |
-
total_steps = 20000
|
171 |
-
initial_rate = 0.00005
|
172 |
|
173 |
[training.score_weights]
|
174 |
-
|
175 |
-
|
|
|
176 |
morph_per_feat = null
|
177 |
-
|
178 |
-
|
|
|
179 |
dep_las_per_type = null
|
180 |
sents_p = null
|
181 |
sents_r = null
|
182 |
-
sents_f = 0.
|
183 |
-
|
184 |
-
ents_f = 0.16
|
185 |
ents_p = 0.0
|
186 |
ents_r = 0.0
|
187 |
ents_per_type = null
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
188 |
|
189 |
[pretraining]
|
190 |
|
191 |
[initialize]
|
192 |
-
vocab_data = ${paths.vocab_data}
|
193 |
vectors = ${paths.vectors}
|
194 |
init_tok2vec = ${paths.init_tok2vec}
|
|
|
|
|
195 |
before_init = null
|
196 |
after_init = null
|
197 |
|
198 |
[initialize.components]
|
199 |
|
200 |
-
[initialize.components.morphologizer]
|
201 |
-
|
202 |
-
[initialize.components.morphologizer.labels]
|
203 |
-
@readers = "spacy.read_labels.v1"
|
204 |
-
path = "corpus/labels/morphologizer.json"
|
205 |
-
require = false
|
206 |
-
|
207 |
-
[initialize.components.ner]
|
208 |
-
|
209 |
-
[initialize.components.ner.labels]
|
210 |
-
@readers = "spacy.read_labels.v1"
|
211 |
-
path = "corpus/labels/ner.json"
|
212 |
-
require = false
|
213 |
-
|
214 |
-
[initialize.components.parser]
|
215 |
-
|
216 |
-
[initialize.components.parser.labels]
|
217 |
-
@readers = "spacy.read_labels.v1"
|
218 |
-
path = "corpus/labels/parser.json"
|
219 |
-
require = false
|
220 |
-
|
221 |
-
[initialize.lookups]
|
222 |
-
@misc = "spacy.LookupsDataLoader.v1"
|
223 |
-
lang = ${nlp.lang}
|
224 |
-
tables = ["lexeme_norm"]
|
225 |
-
|
226 |
[initialize.tokenizer]
|
|
|
1 |
[paths]
|
2 |
+
train = null
|
3 |
+
dev = null
|
|
|
|
|
4 |
init_tok2vec = null
|
5 |
+
vectors = null
|
6 |
+
model_source = "training/da_dacy_large_trf/model-last"
|
7 |
|
8 |
[system]
|
9 |
gpu_allocator = "pytorch"
|
10 |
+
seed = 0
|
11 |
|
12 |
[nlp]
|
13 |
lang = "da"
|
14 |
+
pipeline = ["transformer","tagger","morphologizer","trainable_lemmatizer","parser","ner","coref","span_resolver","span_cleaner","entity_linker"]
|
15 |
+
batch_size = 512
|
16 |
disabled = []
|
17 |
before_creation = null
|
18 |
after_creation = null
|
19 |
after_pipeline_creation = null
|
|
|
20 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
21 |
|
22 |
[components]
|
23 |
|
24 |
+
[components.coref]
|
25 |
+
factory = "experimental_coref"
|
26 |
+
span_cluster_prefix = "coref_head_clusters"
|
27 |
|
28 |
+
[components.coref.model]
|
29 |
+
@architectures = "spacy-experimental.Coref.v1"
|
30 |
+
distance_embedding_size = 20
|
31 |
+
dropout = 0.3
|
32 |
+
hidden_size = 1024
|
33 |
+
depth = 2
|
34 |
+
antecedent_limit = 100
|
35 |
+
antecedent_batch_size = 512
|
36 |
+
|
37 |
+
[components.coref.model.tok2vec]
|
38 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
39 |
+
grad_factor = 0.5
|
40 |
+
upstream = "transformer"
|
41 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
42 |
+
|
43 |
+
[components.coref.scorer]
|
44 |
+
@scorers = "spacy-experimental.coref_scorer.v1"
|
45 |
+
span_cluster_prefix = "coref_head_clusters"
|
46 |
+
|
47 |
+
[components.entity_linker]
|
48 |
+
factory = "entity_linker"
|
49 |
+
candidates_batch_size = 1
|
50 |
+
entity_vector_length = 768
|
51 |
+
generate_empty_kb = {"@misc":"spacy.EmptyKB.v2"}
|
52 |
+
get_candidates = {"@misc":"spacy.CandidateGenerator.v1"}
|
53 |
+
get_candidates_batch = {"@misc":"spacy.CandidateBatchGenerator.v1"}
|
54 |
+
incl_context = true
|
55 |
+
incl_prior = true
|
56 |
+
labels_discard = []
|
57 |
+
n_sents = 0
|
58 |
+
overwrite = true
|
59 |
+
scorer = {"@scorers":"spacy.entity_linker_scorer.v1"}
|
60 |
+
threshold = null
|
61 |
+
use_gold_ents = true
|
62 |
+
|
63 |
+
[components.entity_linker.model]
|
64 |
+
@architectures = "spacy.EntityLinker.v2"
|
65 |
+
nO = null
|
66 |
+
|
67 |
+
[components.entity_linker.model.tok2vec]
|
68 |
+
@architectures = "spacy.HashEmbedCNN.v2"
|
69 |
+
pretrained_vectors = null
|
70 |
+
width = 96
|
71 |
+
depth = 2
|
72 |
+
embed_size = 2000
|
73 |
+
window_size = 1
|
74 |
+
maxout_pieces = 3
|
75 |
+
subword_features = true
|
76 |
|
77 |
[components.morphologizer]
|
78 |
factory = "morphologizer"
|
79 |
+
extend = false
|
80 |
+
overwrite = true
|
81 |
+
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
82 |
|
83 |
[components.morphologizer.model]
|
84 |
+
@architectures = "spacy.Tagger.v2"
|
85 |
nO = null
|
86 |
+
normalize = false
|
87 |
|
88 |
[components.morphologizer.model.tok2vec]
|
89 |
@architectures = "spacy-transformers.TransformerListener.v1"
|
90 |
grad_factor = 1.0
|
|
|
91 |
pooling = {"@layers":"reduce_mean.v1"}
|
92 |
+
upstream = "transformer"
|
93 |
|
94 |
[components.ner]
|
95 |
factory = "ner"
|
96 |
incorrect_spans_key = null
|
97 |
moves = null
|
98 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
99 |
update_with_oracle_cut_size = 100
|
100 |
|
101 |
[components.ner.model]
|
|
|
110 |
[components.ner.model.tok2vec]
|
111 |
@architectures = "spacy-transformers.TransformerListener.v1"
|
112 |
grad_factor = 1.0
|
|
|
113 |
pooling = {"@layers":"reduce_mean.v1"}
|
114 |
+
upstream = "transformer"
|
115 |
|
116 |
[components.parser]
|
117 |
factory = "parser"
|
118 |
learn_tokens = false
|
119 |
min_action_freq = 30
|
120 |
moves = null
|
121 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
122 |
update_with_oracle_cut_size = 100
|
123 |
|
124 |
[components.parser.model]
|
125 |
@architectures = "spacy.TransitionBasedParser.v2"
|
126 |
state_type = "parser"
|
127 |
extra_state_tokens = false
|
128 |
+
hidden_width = 128
|
129 |
+
maxout_pieces = 3
|
130 |
use_upper = false
|
131 |
nO = null
|
132 |
|
133 |
[components.parser.model.tok2vec]
|
134 |
@architectures = "spacy-transformers.TransformerListener.v1"
|
135 |
grad_factor = 1.0
|
136 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
137 |
+
upstream = "transformer"
|
138 |
+
|
139 |
+
[components.span_cleaner]
|
140 |
+
factory = "experimental_span_cleaner"
|
141 |
+
prefix = "coref_head_clusters"
|
142 |
+
|
143 |
+
[components.span_resolver]
|
144 |
+
factory = "experimental_span_resolver"
|
145 |
+
input_prefix = "coref_head_clusters"
|
146 |
+
output_prefix = "coref_clusters"
|
147 |
+
|
148 |
+
[components.span_resolver.model]
|
149 |
+
@architectures = "spacy-experimental.SpanResolver.v1"
|
150 |
+
hidden_size = 1024
|
151 |
+
distance_embedding_size = 64
|
152 |
+
conv_channels = 4
|
153 |
+
window_size = 1
|
154 |
+
max_distance = 128
|
155 |
+
prefix = "coref_head_clusters"
|
156 |
+
|
157 |
+
[components.span_resolver.model.tok2vec]
|
158 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
159 |
+
grad_factor = 0.0
|
160 |
upstream = "transformer"
|
161 |
pooling = {"@layers":"reduce_mean.v1"}
|
162 |
|
163 |
+
[components.span_resolver.scorer]
|
164 |
+
@scorers = "spacy-experimental.span_resolver_scorer.v1"
|
165 |
+
input_prefix = "coref_head_clusters"
|
166 |
+
output_prefix = "coref_clusters"
|
167 |
+
|
168 |
+
[components.tagger]
|
169 |
+
factory = "tagger"
|
170 |
+
neg_prefix = "!"
|
171 |
+
overwrite = false
|
172 |
+
scorer = {"@scorers":"spacy.tagger_scorer.v1"}
|
173 |
+
|
174 |
+
[components.tagger.model]
|
175 |
+
@architectures = "spacy.Tagger.v2"
|
176 |
+
nO = null
|
177 |
+
normalize = false
|
178 |
+
|
179 |
+
[components.tagger.model.tok2vec]
|
180 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
181 |
+
grad_factor = 1.0
|
182 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
183 |
+
upstream = "transformer"
|
184 |
+
|
185 |
+
[components.trainable_lemmatizer]
|
186 |
+
factory = "trainable_lemmatizer"
|
187 |
+
backoff = "orth"
|
188 |
+
min_tree_freq = 3
|
189 |
+
overwrite = false
|
190 |
+
scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
|
191 |
+
top_k = 1
|
192 |
+
|
193 |
+
[components.trainable_lemmatizer.model]
|
194 |
+
@architectures = "spacy.Tagger.v2"
|
195 |
+
nO = null
|
196 |
+
normalize = false
|
197 |
+
|
198 |
+
[components.trainable_lemmatizer.model.tok2vec]
|
199 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
200 |
+
grad_factor = 1.0
|
201 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
202 |
+
upstream = "transformer"
|
203 |
+
|
204 |
[components.transformer]
|
205 |
factory = "transformer"
|
206 |
max_batch_items = 4096
|
207 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
208 |
|
209 |
[components.transformer.model]
|
210 |
+
@architectures = "spacy-transformers.TransformerModel.v3"
|
211 |
+
name = "chcaa/dfm-encoder-large-v1"
|
212 |
+
mixed_precision = false
|
213 |
|
214 |
[components.transformer.model.get_spans]
|
215 |
@span_getters = "spacy-transformers.strided_spans.v1"
|
216 |
+
window = 400
|
217 |
+
stride = 350
|
218 |
+
|
219 |
+
[components.transformer.model.grad_scaler_config]
|
220 |
|
221 |
[components.transformer.model.tokenizer_config]
|
222 |
use_fast = true
|
223 |
+
|
224 |
+
[components.transformer.model.transformer_config]
|
225 |
|
226 |
[corpora]
|
227 |
|
228 |
[corpora.dev]
|
229 |
@readers = "spacy.Corpus.v1"
|
230 |
+
path = ${paths.dev}
|
|
|
|
|
231 |
gold_preproc = false
|
232 |
+
max_length = 0
|
233 |
+
limit = 0
|
234 |
augmenter = null
|
235 |
|
236 |
[corpora.train]
|
237 |
@readers = "spacy.Corpus.v1"
|
238 |
+
path = ${paths.train}
|
|
|
239 |
gold_preproc = false
|
240 |
+
max_length = 0
|
241 |
limit = 0
|
242 |
+
augmenter = null
|
|
|
|
|
|
|
243 |
|
244 |
[training]
|
245 |
+
seed = ${system.seed}
|
246 |
+
gpu_allocator = ${system.gpu_allocator}
|
|
|
|
|
247 |
dropout = 0.1
|
248 |
+
accumulate_gradient = 1
|
249 |
+
patience = 1600
|
250 |
max_epochs = 0
|
251 |
max_steps = 20000
|
252 |
+
eval_frequency = 200
|
253 |
frozen_components = []
|
|
|
254 |
annotating_components = []
|
255 |
+
dev_corpus = "corpora.dev"
|
256 |
+
train_corpus = "corpora.train"
|
257 |
+
before_to_disk = null
|
258 |
+
before_update = null
|
259 |
|
260 |
[training.batcher]
|
261 |
+
@batchers = "spacy.batch_by_words.v1"
|
262 |
+
discard_oversize = false
|
263 |
+
tolerance = 0.2
|
264 |
get_length = null
|
265 |
+
|
266 |
+
[training.batcher.size]
|
267 |
+
@schedules = "compounding.v1"
|
268 |
+
start = 100
|
269 |
+
stop = 1000
|
270 |
+
compound = 1.001
|
271 |
+
t = 0.0
|
272 |
|
273 |
[training.logger]
|
274 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
275 |
+
progress_bar = false
|
|
|
276 |
|
277 |
[training.optimizer]
|
278 |
@optimizers = "Adam.v1"
|
|
|
281 |
L2_is_weight_decay = true
|
282 |
L2 = 0.01
|
283 |
grad_clip = 1.0
|
284 |
+
use_averages = false
|
285 |
eps = 0.00000001
|
286 |
+
learn_rate = 0.001
|
|
|
|
|
|
|
|
|
|
|
287 |
|
288 |
[training.score_weights]
|
289 |
+
tag_acc = 0.12
|
290 |
+
pos_acc = 0.06
|
291 |
+
morph_acc = 0.06
|
292 |
morph_per_feat = null
|
293 |
+
lemma_acc = 0.12
|
294 |
+
dep_uas = 0.06
|
295 |
+
dep_las = 0.06
|
296 |
dep_las_per_type = null
|
297 |
sents_p = null
|
298 |
sents_r = null
|
299 |
+
sents_f = 0.0
|
300 |
+
ents_f = 0.12
|
|
|
301 |
ents_p = 0.0
|
302 |
ents_r = 0.0
|
303 |
ents_per_type = null
|
304 |
+
coref_f = 0.12
|
305 |
+
coref_p = null
|
306 |
+
coref_r = null
|
307 |
+
span_accuracy = 0.12
|
308 |
+
nel_micro_f = 0.12
|
309 |
+
nel_micro_r = null
|
310 |
+
nel_micro_p = null
|
311 |
|
312 |
[pretraining]
|
313 |
|
314 |
[initialize]
|
|
|
315 |
vectors = ${paths.vectors}
|
316 |
init_tok2vec = ${paths.init_tok2vec}
|
317 |
+
vocab_data = null
|
318 |
+
lookups = null
|
319 |
before_init = null
|
320 |
after_init = null
|
321 |
|
322 |
[initialize.components]
|
323 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
324 |
[initialize.tokenizer]
|
coref/cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"nI":1024
|
3 |
+
}
|
transformer/model/pytorch_model.bin → coref/model
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:530693cc6611b9b24a03c8cabd239861c9565c5015490d33c2682d3755991014
|
3 |
+
size 54662492
|
da_dacy_large_trf-any-py3-none-any.whl
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e892bff73b78466e9a3f1f5bfe987d46e320161d83429d636687e1dcfb787200
|
3 |
+
size 1394022249
|
entity_linker/cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"overwrite":true
|
3 |
+
}
|
entity_linker/kb/contents
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ff702a30fb3360af93dd43795238cb332814bc6a6889f2a477f4ff2d050ad9d4
|
3 |
+
size 11649540
|
transformer/model/sentencepiece.bpe.model → entity_linker/kb/strings.json
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec97f460233cd7e225ffce56c87cfe570210c27ccdb209855f13ebba48c7a1bf
|
3 |
+
size 544073
|
entity_linker/model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4676186143a40b26ea1e023fda43b9ef083c68f4f32354253f132dd8b6151209
|
3 |
+
size 3510902
|
meta.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"lang":"da",
|
3 |
"name":"dacy_large_trf",
|
4 |
-
"version":"0.
|
5 |
-
"description":"\n<a href=\"https://github.com/centre-for-humanities-computing/Dacy\"><img src=\"https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png\" width=\"175\" height=\"175\" align=\"right\" /></a>\n\n# DaCy large
|
6 |
-
"author":"
|
7 |
"email":"Kenneth.enevoldsen@cas.au.dk",
|
8 |
"url":"https://chcaa.io/#/",
|
9 |
-
"license":"Apache-2.0
|
10 |
-
"spacy_version":">=3.
|
11 |
-
"spacy_git_version":"
|
12 |
"vectors":{
|
13 |
"width":0,
|
14 |
"vectors":0,
|
@@ -18,6 +18,25 @@
|
|
18 |
"labels":{
|
19 |
"transformer":[
|
20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
21 |
],
|
22 |
"morphologizer":[
|
23 |
"AdpType=Prep|POS=ADP",
|
@@ -34,155 +53,157 @@
|
|
34 |
"Degree=Pos|Number=Plur|POS=ADJ",
|
35 |
"Definite=Ind|Gender=Com|Number=Plur|POS=NOUN",
|
36 |
"POS=PUNCT",
|
|
|
37 |
"POS=CCONJ",
|
38 |
-
"Definite=Ind|Degree=Cmp|Number=Sing|POS=ADJ",
|
39 |
-
"Degree=Cmp|POS=ADJ",
|
40 |
-
"POS=PRON|PartType=Inf",
|
41 |
-
"Gender=Com|Number=Sing|POS=DET|PronType=Ind",
|
42 |
-
"Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ",
|
43 |
-
"Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
44 |
"Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN",
|
45 |
-
"
|
46 |
-
"Gender=Neut|Number=Sing|POS=
|
|
|
47 |
"Degree=Pos|POS=ADV",
|
48 |
-
"
|
49 |
-
"
|
50 |
-
"POS=
|
51 |
-
"
|
52 |
-
"Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ",
|
53 |
-
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
54 |
-
"Degree=Pos|Gender=Com|Number=Sing|POS=ADJ",
|
55 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
56 |
-
"NumType=Ord|POS=ADJ",
|
57 |
-
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
58 |
"Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin|Voice=Act",
|
59 |
-
"
|
|
|
60 |
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Act",
|
61 |
-
"POS=NOUN",
|
62 |
-
"Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Pass",
|
63 |
"POS=ADP|PartType=Inf",
|
|
|
|
|
64 |
"Degree=Pos|POS=ADJ",
|
|
|
|
|
|
|
65 |
"Definite=Def|Gender=Com|Number=Plur|POS=NOUN",
|
66 |
-
"
|
|
|
|
|
|
|
67 |
"Case=Gen|Definite=Def|Gender=Com|Number=Sing|POS=NOUN",
|
|
|
|
|
68 |
"POS=AUX|VerbForm=Inf|Voice=Act",
|
69 |
-
"Definite=Ind|Degree=Pos|Gender=
|
|
|
|
|
|
|
|
|
|
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|
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|
70 |
"Gender=Com|Number=Sing|POS=DET|PronType=Dem",
|
71 |
-
"Number=Plur|POS=DET|PronType=Ind",
|
72 |
-
"
|
73 |
-
"
|
74 |
-
"
|
|
|
|
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|
75 |
"Gender=Neut|Number=Sing|POS=DET|PronType=Ind",
|
76 |
-
"Case=
|
77 |
-
"
|
78 |
-
"
|
|
|
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|
|
|
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|
79 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs",
|
80 |
-
"
|
81 |
-
"Gender=Neut|Number=Sing|POS=PRON|PronType=Ind",
|
82 |
-
"Mood=Imp|POS=VERB",
|
83 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs",
|
84 |
-
"
|
85 |
-
"POS=
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
86 |
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs",
|
|
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|
87 |
"Case=Gen|Definite=Def|Gender=Com|Number=Plur|POS=NOUN",
|
88 |
-
"POS=VERB|Tense=Pres|VerbForm=Part",
|
89 |
-
"Number=Plur|POS=PRON|PronType=Int,Rel",
|
90 |
-
"POS=VERB|VerbForm=Inf|Voice=Pass",
|
91 |
-
"Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN",
|
92 |
-
"Degree=Cmp|POS=ADV",
|
93 |
-
"POS=ADV|PartType=Inf",
|
94 |
-
"Degree=Sup|POS=ADV",
|
95 |
"Number=Plur|POS=PRON|PronType=Dem",
|
96 |
-
"Number=Plur|POS=PRON|PronType=
|
97 |
-
"
|
98 |
-
"
|
99 |
-
"Case=Gen|POS=PROPN",
|
100 |
-
"POS=ADP",
|
101 |
"Degree=Cmp|Number=Plur|POS=ADJ",
|
102 |
-
"
|
103 |
-
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs",
|
104 |
-
"Degree=Pos|Number=Sing|POS=ADJ",
|
105 |
-
"Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
106 |
"Gender=Com|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
107 |
"Number=Plur|POS=PRON|PronType=Rcp",
|
|
|
108 |
"Case=Gen|Degree=Cmp|POS=ADJ",
|
109 |
"Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN",
|
110 |
-
"Number
|
111 |
-
"POS=
|
112 |
-
"Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs",
|
113 |
-
"Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ",
|
114 |
-
"Gender=Neut|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
115 |
-
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs",
|
116 |
-
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
117 |
-
"Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN",
|
118 |
-
"Number=Sing|POS=PRON|PronType=Int,Rel",
|
119 |
"Number=Plur|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
120 |
-
"Gender=Neut|Number=Sing|POS=
|
121 |
-
"Definite=Def|Degree=Sup|Number=Plur|POS=ADJ",
|
122 |
-
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs",
|
123 |
-
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
124 |
-
"Definite=Ind|Number=Sing|POS=NOUN",
|
125 |
-
"Number=Plur|POS=VERB|Tense=Past|VerbForm=Part",
|
126 |
"Number=Plur|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
127 |
-
"POS=
|
128 |
-
"Case=
|
129 |
-
"Degree=Sup|POS=ADJ",
|
130 |
-
"Number=Plur|POS=DET|PronType=Ind|Style=Arch",
|
131 |
-
"Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Dem",
|
132 |
-
"Foreign=Yes|POS=X",
|
133 |
"POS=DET|Person=2|Polite=Form|Poss=Yes|PronType=Prs",
|
134 |
-
"
|
135 |
-
"
|
136 |
-
"
|
137 |
-
"
|
138 |
-
"
|
139 |
-
"Abbr=Yes|POS=X",
|
140 |
-
"Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN",
|
141 |
"Definite=Def|Degree=Abs|POS=ADJ",
|
142 |
-
"
|
143 |
-
"Definite=Ind|POS=
|
144 |
-
"Gender=Com|Number=Plur|POS=NOUN",
|
145 |
-
"Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs",
|
146 |
-
"Gender=Com|POS=PRON|PronType=Int,Rel",
|
147 |
-
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs",
|
148 |
"Degree=Abs|POS=ADV",
|
149 |
-
"POS=VERB|VerbForm=Ger",
|
150 |
-
"POS=VERB|Tense=Past|VerbForm=Part",
|
151 |
-
"Definite=Def|Degree=Sup|Number=Sing|POS=ADJ",
|
152 |
-
"Number=Plur|Number[psor]=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
153 |
"Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ",
|
154 |
-
"Case=Gen|Degree=Pos|Number=Plur|POS=ADJ",
|
155 |
-
"Case=Acc|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs",
|
156 |
"Gender=Com|Number=Sing|POS=PRON|PronType=Int,Rel",
|
157 |
-
"POS=VERB|Tense=
|
158 |
-
"
|
159 |
-
"Number[psor]=Plur|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
160 |
-
"POS=PRON|Person=2|Polite=Form|Poss=Yes|PronType=Prs",
|
161 |
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
162 |
-
"POS=AUX|Tense=Pres|VerbForm=Part",
|
163 |
-
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Pass",
|
164 |
-
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
165 |
-
"Degree=Sup|Number=Plur|POS=ADJ",
|
166 |
-
"Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs",
|
167 |
-
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
168 |
-
"Definite=Ind|Number=Plur|POS=NOUN",
|
169 |
-
"Case=Gen|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part",
|
170 |
-
"Mood=Imp|POS=AUX",
|
171 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=1|Poss=Yes|PronType=Prs",
|
172 |
-
"Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs",
|
173 |
-
"Definite=Def|Gender=Com|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part",
|
174 |
"Number=Plur|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
|
|
|
|
175 |
"Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Ind",
|
|
|
|
|
176 |
"Case=Gen|POS=NOUN",
|
177 |
-
"
|
178 |
-
"POS=DET|PronType=Dem",
|
179 |
-
"Definite=Def|Number=Plur|POS=NOUN"
|
180 |
],
|
181 |
"parser":[
|
182 |
"ROOT",
|
183 |
"acl:relcl",
|
184 |
"advcl",
|
185 |
"advmod",
|
|
|
186 |
"amod",
|
187 |
"appos",
|
188 |
"aux",
|
@@ -206,144 +227,162 @@
|
|
206 |
"nummod",
|
207 |
"obj",
|
208 |
"obl",
|
209 |
-
"obl:
|
210 |
"obl:tmod",
|
211 |
"punct",
|
212 |
"xcomp"
|
213 |
-
],
|
214 |
-
"attribute_ruler":[
|
215 |
-
|
216 |
-
],
|
217 |
-
"lemmatizer":[
|
218 |
-
|
219 |
],
|
220 |
"ner":[
|
221 |
"LOC",
|
222 |
"MISC",
|
223 |
"ORG",
|
224 |
"PER"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
225 |
]
|
226 |
},
|
227 |
"pipeline":[
|
228 |
"transformer",
|
|
|
229 |
"morphologizer",
|
|
|
230 |
"parser",
|
231 |
-
"
|
232 |
-
"
|
233 |
-
"
|
|
|
|
|
234 |
],
|
235 |
"components":[
|
236 |
"transformer",
|
|
|
237 |
"morphologizer",
|
|
|
238 |
"parser",
|
239 |
-
"
|
240 |
-
"
|
241 |
-
"
|
|
|
|
|
242 |
],
|
243 |
"disabled":[
|
244 |
|
245 |
],
|
246 |
-
"
|
247 |
-
|
248 |
-
|
|
|
249 |
"performance":{
|
250 |
-
"
|
251 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
252 |
"morph_per_feat":{
|
253 |
-
"
|
254 |
-
"p":0.
|
255 |
-
"r":0.
|
256 |
-
"f":0.
|
257 |
-
},
|
258 |
-
"Tense":{
|
259 |
-
"p":0.9924471299,
|
260 |
-
"r":0.9894578313,
|
261 |
-
"f":0.9909502262
|
262 |
},
|
263 |
-
"
|
264 |
-
"p":0.
|
265 |
-
"r":0.
|
266 |
-
"f":0.
|
267 |
},
|
268 |
-
"
|
269 |
-
"p":0.
|
270 |
-
"r":0.
|
271 |
-
"f":0.
|
272 |
},
|
273 |
"Definite":{
|
274 |
-
"p":0.
|
275 |
-
"r":0.
|
276 |
-
"f":0.
|
277 |
},
|
278 |
"Gender":{
|
279 |
-
"p":0.
|
280 |
-
"r":0.
|
281 |
-
"f":0.
|
282 |
},
|
283 |
-
"
|
284 |
-
"p":0.
|
285 |
-
"r":0.
|
286 |
-
"f":0.
|
287 |
},
|
288 |
-
"
|
289 |
-
"p":
|
290 |
-
"r":0.
|
291 |
-
"f":0.
|
292 |
},
|
293 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
294 |
"p":1.0,
|
295 |
"r":1.0,
|
296 |
"f":1.0
|
297 |
},
|
298 |
-
"Case":{
|
299 |
-
"p":0.9905362776,
|
300 |
-
"r":0.9921011058,
|
301 |
-
"f":0.9913180742
|
302 |
-
},
|
303 |
-
"Person":{
|
304 |
-
"p":0.9911816578,
|
305 |
-
"r":0.9982238011,
|
306 |
-
"f":0.9946902655
|
307 |
-
},
|
308 |
"PronType":{
|
309 |
-
"p":0.
|
310 |
-
"r":0.
|
311 |
-
"f":0.
|
312 |
},
|
313 |
-
"
|
314 |
-
"p":0
|
315 |
-
"r":0.
|
316 |
-
"f":0.
|
317 |
},
|
318 |
-
"
|
319 |
-
"p":0.
|
320 |
-
"r":0.
|
321 |
-
"f":0.
|
322 |
},
|
323 |
-
"
|
324 |
"p":1.0,
|
325 |
"r":1.0,
|
326 |
"f":1.0
|
327 |
},
|
328 |
-
"
|
329 |
"p":1.0,
|
330 |
"r":1.0,
|
331 |
"f":1.0
|
332 |
},
|
333 |
-
"
|
|
|
|
|
|
|
|
|
|
|
334 |
"p":1.0,
|
335 |
"r":1.0,
|
336 |
"f":1.0
|
337 |
},
|
338 |
"Foreign":{
|
339 |
-
"p":0.
|
340 |
-
"r":0.
|
341 |
-
"f":0.
|
342 |
-
},
|
343 |
-
"Abbr":{
|
344 |
-
"p":1.0,
|
345 |
-
"r":0.4,
|
346 |
-
"f":0.5714285714
|
347 |
},
|
348 |
"Style":{
|
349 |
"p":1.0,
|
@@ -352,230 +391,295 @@
|
|
352 |
},
|
353 |
"Polite":{
|
354 |
"p":1.0,
|
355 |
-
"r":
|
356 |
-
"f":
|
|
|
|
|
|
|
|
|
|
|
357 |
}
|
358 |
},
|
359 |
-
"dep_uas":0.
|
360 |
-
"dep_las":0.
|
361 |
"dep_las_per_type":{
|
362 |
-
"
|
363 |
-
"p":0.
|
364 |
-
"r":0.
|
365 |
-
"f":0.
|
366 |
},
|
367 |
-
"
|
368 |
-
"p":0.
|
369 |
-
"r":0.
|
370 |
-
"f":0.
|
371 |
},
|
372 |
-
"
|
373 |
-
"p":0.
|
374 |
-
"r":0.
|
375 |
-
"f":0.
|
376 |
},
|
377 |
-
"
|
378 |
-
"p":0.
|
379 |
-
"r":0.
|
380 |
-
"f":0.
|
381 |
},
|
382 |
-
"
|
383 |
-
"p":0.
|
384 |
-
"r":0.
|
385 |
-
"f":0.
|
386 |
},
|
387 |
"cc":{
|
388 |
-
"p":0.
|
389 |
-
"r":0.
|
390 |
-
"f":0.
|
391 |
},
|
392 |
"conj":{
|
393 |
-
"p":0.
|
394 |
-
"r":0.
|
395 |
-
"f":0.
|
396 |
},
|
397 |
-
"
|
398 |
-
"p":0.
|
399 |
-
"r":0.
|
400 |
-
"f":0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
401 |
},
|
402 |
"aux":{
|
403 |
-
"p":0.
|
404 |
-
"r":0.
|
405 |
-
"f":0.
|
406 |
},
|
407 |
-
"
|
408 |
-
"p":0.
|
409 |
-
"r":0.
|
410 |
-
"f":0.
|
411 |
},
|
412 |
-
"
|
413 |
-
"p":0.
|
414 |
-
"r":0.
|
415 |
-
"f":0.
|
416 |
},
|
417 |
"det":{
|
418 |
-
"p":0.
|
419 |
-
"r":0.
|
420 |
-
"f":0.
|
421 |
},
|
422 |
-
"
|
423 |
-
"p":0.
|
424 |
-
"r":0.
|
425 |
-
"f":0.
|
426 |
},
|
427 |
"nmod:poss":{
|
428 |
-
"p":0.
|
429 |
-
"r":0.
|
430 |
-
"f":0.
|
431 |
},
|
432 |
-
"
|
433 |
-
"p":0.
|
434 |
-
"r":0.
|
435 |
-
"f":0.
|
436 |
-
},
|
437 |
-
"nummod":{
|
438 |
-
"p":0.832,
|
439 |
-
"r":0.8666666667,
|
440 |
-
"f":0.8489795918
|
441 |
},
|
442 |
-
"
|
443 |
-
"p":0.
|
444 |
-
"r":0.
|
445 |
-
"f":0.
|
446 |
},
|
447 |
-
"
|
448 |
-
"p":0.
|
449 |
-
"r":0.
|
450 |
-
"f":0.
|
451 |
},
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"notes":"\n## Bias and Robustness\n\nBesides the validation done by SpaCy on the DaNE testset, DaCy also provides a series of augmentations to the DaNE test set to see how well the models deal with these types of augmentations.\nThe can be seen as behavioural probes akinn to the NLP checklist.\n\n### Deterministic Augmentations\nDeterministic augmentations are augmentation which always yield the same result.\n\n| Augmentation | Part-of-speech tagging (Accuracy) | Morphological tagging (Accuracy) | Dependency Parsing (UAS) | Dependency Parsing (LAS) |\u00a0Sentence segmentation (F1) | Lemmatization (Accuracy) | Named entity recognition (F1) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| No augmentation | 0.985 | 0.979 | 0.906 | 0.881 | 0.986 | 0.844 | 0.839 |\n| \u00c6\u00f8\u00e5 Augmentation | 0.973 | 0.963 | 0.892 | 0.863 | 0.975 | 0.754 | 0.815 |\n| Lowercase | 0.981 | 0.975 | 0.902 | 0.876 | 0.93 | 0.848 | 0.788 |\n| No Spacing | 0.227 | 0.229 | 0.004 | 0.004 | 0.54 | 0.225 | 0.086 |\n| Abbreviated first names | 0.984 | 0.978 | 0.903 | 0.878 | 0.986 | 0.845 | 0.839 |\n| Input size augmentation 5 sentences | 0.986 | 0.981 | 0.904 | 0.88 | 0.97 | 0.844 | 0.847 |\n| Input size augmentation 10 sentences | 0.986 | 0.981 | 0.905 | 0.881 | 0.964 | 0.844 | 0.849 |\n\n\n\n### Stochastic Augmentations\nStochastic augmentations are augmentation which are repeated mulitple times to estimate the effect of the augmentation.\n\n| Augmentation | Part-of-speech tagging (Accuracy) | Morphological tagging (Accuracy) | Dependency Parsing (UAS) | Dependency Parsing (LAS) |\u00a0Sentence segmentation (F1) | Lemmatization (Accuracy) | Named entity recognition (F1) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Keystroke errors 2% | 0.949 (0.002) | 0.944 (0.002) | 0.868 (0.002) | 0.833 (0.002) | 0.965 (0.002) | 0.773 (0.002) | 0.775 (0.002) |\n| Keystroke errors 5% | 0.895 (0.003) | 0.893 (0.003) | 0.81 (0.003) | 0.76 (0.003) | 0.92 (0.003) | 0.68 (0.003) | 0.698 (0.003) |\n| Keystroke errors 15% | 0.705 (0.005) | 0.72 (0.005) | 0.6 (0.005) | 0.518 (0.005) | 0.801 (0.005) | 0.462 (0.005) | 0.506 (0.005) |\n| Danish names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.987 (0.0) | 0.847 (0.0) | 0.844 (0.0) |\n| Muslim names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.987 (0.0) | 0.847 (0.0) | 0.844 (0.0) |\n| Female names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.986 (0.0) | 0.847 (0.0) | 0.846 (0.0) |\n| Male names | 0.984 (0.0) | 0.979 (0.0) | 0.904 (0.0) | 0.879 (0.0) | 0.986 (0.0) | 0.846 (0.0) | 0.845 (0.0) |\n| Spacing Augmention 5% | 0.946 (0.002) | 0.941 (0.002) | 0.794 (0.002) | 0.771 (0.002) | 0.969 (0.002) | 0.812 (0.002) | 0.781 (0.002) |\n\n<details>\n\n<summary> Description of Augmenters </summary>\n\n \n\n**No augmentation:**\nApplies no augmentation to the DaNE test set.\n\n**\u00c6\u00f8\u00e5 Augmentation:**\nThis augmentation replace the \u00e6,\u00f8, and \u00e5 with their spelling variations ae, oe and aa respectively.\n\n**Lowercase:**\nThis augmentation lowercases all text.\n\n**No Spacing:**\nThis augmentation removed all spacing from the text.\n\n**Abbreviated first names:**\nThis agmentation abbreviates the first names of entities. For instance 'Kenneth Enevoldsen' would turn to 'K. Enevoldsen'.\n\n**Keystroke errors 2%:**\nThis agmentation simulate keystroke errors by replacing 2% of keys with a neighbouring key on a Danish QWERTY keyboard. As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n\n**Keystroke errors 5%:**\nThis agmentation simulate keystroke errors by replacing 5% of keys with a neighbouring key on a Danish QWERTY keyboard. As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n\n**Keystroke errors 15%:**\nThis agmentation simulate keystroke errors by replacing 15% of keys with a neighbouring key on a Danish QWERTY keyboard. As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n\n**Danish names:**\nThis agmentation replace all names with Danish names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n\n**Muslim names:**\nThis agmentation replace all names with Muslim names derived from Meldgaard (2005). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n\n**Female names:**\nThis agmentation replace all names with Danish female names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n\n**Male names:**\nThis agmentation replace all names with Danish male names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n\n**Spacing Augmention 5%:**\nThis agmentation replace all names with Danish male names derived from Danmarks Statistik (2021). As this agmentation is stochastic it is repeated 20 times to obtain a consistent estimate and the mean is provided with its standard deviation in parenthesis.\n </details> \n <br /> \n\n\n### Hardware\nThis was run an trained on a Quadro RTX 8000 GPU."
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1 |
{
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2 |
"lang":"da",
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3 |
"name":"dacy_large_trf",
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"version":"0.2.0",
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"description":"\n<a href=\"https://github.com/centre-for-humanities-computing/Dacy\"><img src=\"https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png\" width=\"175\" height=\"175\" align=\"right\" /></a>\n\n# DaCy large\n\nDaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines.\nDaCy's largest pipeline has achieved State-of-the-Art performance on parts-of-speech tagging and dependency \nparsing for Danish on the Danish Dependency treebank as well as competitive performance on named entity recognition, named entity disambiguation and coreference resolution. \nTo read more check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results. \nDaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.\n",
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"author":"Kenneth Enevoldsen",
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143 |
"Case=Gen|Definite=Def|Gender=Com|Number=Plur|POS=NOUN",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
144 |
"Number=Plur|POS=PRON|PronType=Dem",
|
145 |
+
"Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs",
|
146 |
+
"Number=Plur|POS=PRON|PronType=Int,Rel",
|
147 |
+
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
|
|
|
|
148 |
"Degree=Cmp|Number=Plur|POS=ADJ",
|
149 |
+
"Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs",
|
|
|
|
|
|
|
150 |
"Gender=Com|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
151 |
+
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs",
|
152 |
+
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs",
|
153 |
+
"Gender=Com|POS=PRON|PronType=Int,Rel",
|
154 |
+
"Case=Gen|Degree=Pos|Number=Plur|POS=ADJ",
|
155 |
+
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
156 |
+
"POS=VERB|VerbForm=Ger",
|
157 |
+
"Gender=Com|Number=Sing|POS=PRON|PronType=Dem",
|
158 |
+
"Case=Gen|POS=PRON|PronType=Int,Rel",
|
159 |
+
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Pass",
|
160 |
+
"Abbr=Yes|POS=X",
|
161 |
+
"Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN",
|
162 |
+
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
163 |
+
"Definite=Ind|Number=Plur|POS=NOUN",
|
164 |
+
"Foreign=Yes|POS=X",
|
165 |
"Number=Plur|POS=PRON|PronType=Rcp",
|
166 |
+
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs",
|
167 |
"Case=Gen|Degree=Cmp|POS=ADJ",
|
168 |
"Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN",
|
169 |
+
"Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs",
|
170 |
+
"Gender=Neut|Number=Sing|POS=PRON|PronType=Dem",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
171 |
"Number=Plur|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
172 |
+
"Gender=Neut|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
|
|
|
|
|
|
|
|
|
|
173 |
"Number=Plur|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
174 |
+
"Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs",
|
175 |
+
"Case=Gen|Number=Plur|POS=PRON|PronType=Rcp",
|
|
|
|
|
|
|
|
|
176 |
"POS=DET|Person=2|Polite=Form|Poss=Yes|PronType=Prs",
|
177 |
+
"POS=SYM",
|
178 |
+
"POS=DET|PronType=Dem",
|
179 |
+
"Gender=Com|Number=Sing|POS=NUM",
|
180 |
+
"Number[psor]=Plur|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
181 |
+
"Case=Gen|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part",
|
|
|
|
|
182 |
"Definite=Def|Degree=Abs|POS=ADJ",
|
183 |
+
"POS=VERB|Tense=Pres",
|
184 |
+
"Definite=Ind|Gender=Neut|Number=Sing|POS=NUM",
|
|
|
|
|
|
|
|
|
185 |
"Degree=Abs|POS=ADV",
|
|
|
|
|
|
|
|
|
186 |
"Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ",
|
|
|
|
|
187 |
"Gender=Com|Number=Sing|POS=PRON|PronType=Int,Rel",
|
188 |
+
"POS=VERB|Tense=Past|VerbForm=Part",
|
189 |
+
"Definite=Ind|Degree=Sup|Number=Sing|POS=ADJ",
|
|
|
|
|
190 |
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
191 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=1|Poss=Yes|PronType=Prs",
|
|
|
|
|
192 |
"Number=Plur|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs",
|
193 |
+
"Number[psor]=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs",
|
194 |
+
"Definite=Ind|POS=NOUN",
|
195 |
"Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Ind",
|
196 |
+
"Definite=Ind|Gender=Com|Number=Sing|POS=NUM",
|
197 |
+
"Definite=Def|Number=Plur|POS=NOUN",
|
198 |
"Case=Gen|POS=NOUN",
|
199 |
+
"POS=AUX|Tense=Pres|VerbForm=Part"
|
|
|
|
|
200 |
],
|
201 |
"parser":[
|
202 |
"ROOT",
|
203 |
"acl:relcl",
|
204 |
"advcl",
|
205 |
"advmod",
|
206 |
+
"advmod:lmod",
|
207 |
"amod",
|
208 |
"appos",
|
209 |
"aux",
|
|
|
227 |
"nummod",
|
228 |
"obj",
|
229 |
"obl",
|
230 |
+
"obl:lmod",
|
231 |
"obl:tmod",
|
232 |
"punct",
|
233 |
"xcomp"
|
|
|
|
|
|
|
|
|
|
|
|
|
234 |
],
|
235 |
"ner":[
|
236 |
"LOC",
|
237 |
"MISC",
|
238 |
"ORG",
|
239 |
"PER"
|
240 |
+
],
|
241 |
+
"coref":[
|
242 |
+
|
243 |
+
],
|
244 |
+
"span_resolver":[
|
245 |
+
|
246 |
+
],
|
247 |
+
"entity_linker":[
|
248 |
+
|
249 |
]
|
250 |
},
|
251 |
"pipeline":[
|
252 |
"transformer",
|
253 |
+
"tagger",
|
254 |
"morphologizer",
|
255 |
+
"trainable_lemmatizer",
|
256 |
"parser",
|
257 |
+
"ner",
|
258 |
+
"coref",
|
259 |
+
"span_resolver",
|
260 |
+
"span_cleaner",
|
261 |
+
"entity_linker"
|
262 |
],
|
263 |
"components":[
|
264 |
"transformer",
|
265 |
+
"tagger",
|
266 |
"morphologizer",
|
267 |
+
"trainable_lemmatizer",
|
268 |
"parser",
|
269 |
+
"ner",
|
270 |
+
"coref",
|
271 |
+
"span_resolver",
|
272 |
+
"span_cleaner",
|
273 |
+
"entity_linker"
|
274 |
],
|
275 |
"disabled":[
|
276 |
|
277 |
],
|
278 |
+
"requirements":[
|
279 |
+
"spacy-experimental>=0.6.2,<0.7.0",
|
280 |
+
"spacy-transformers>=1.2.3,<1.3.0"
|
281 |
+
],
|
282 |
"performance":{
|
283 |
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"token_acc":0.9992023928,
|
284 |
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"token_p":0.9970089731,
|
285 |
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"token_r":0.9977052779,
|
286 |
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"token_f":0.9973570039,
|
287 |
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"sents_p":1.0,
|
288 |
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"sents_r":1.0,
|
289 |
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"sents_f":1.0,
|
290 |
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"tag_acc":0.9913668347,
|
291 |
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"pos_acc":0.9908174469,
|
292 |
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"morph_acc":0.9880227568,
|
293 |
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"morph_micro_p":0.9945294243,
|
294 |
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"morph_micro_r":0.9932106296,
|
295 |
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"morph_micro_f":0.9938695894,
|
296 |
"morph_per_feat":{
|
297 |
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"NumType":{
|
298 |
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"p":0.9826589595,
|
299 |
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"r":0.988372093,
|
300 |
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"f":0.9855072464
|
|
|
|
|
|
|
|
|
|
|
301 |
},
|
302 |
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"Degree":{
|
303 |
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"p":0.9973753281,
|
304 |
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"r":0.9819121447,
|
305 |
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"f":0.9895833333
|
306 |
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|
307 |
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"Number":{
|
308 |
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"p":0.991821771,
|
309 |
+
"r":0.9912626832,
|
310 |
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"f":0.9915421483
|
311 |
},
|
312 |
"Definite":{
|
313 |
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"p":0.9910141207,
|
314 |
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"r":0.9910141207,
|
315 |
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"f":0.9910141207
|
316 |
},
|
317 |
"Gender":{
|
318 |
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"p":0.9905329593,
|
319 |
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"r":0.9901857694,
|
320 |
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"f":0.9903593339
|
321 |
},
|
322 |
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"Mood":{
|
323 |
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"p":0.9990393852,
|
324 |
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"r":0.9980806142,
|
325 |
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"f":0.9985597696
|
326 |
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|
327 |
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"Tense":{
|
328 |
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"p":0.9953343701,
|
329 |
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"r":0.9976617303,
|
330 |
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"f":0.9964966913
|
331 |
},
|
332 |
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"VerbForm":{
|
333 |
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"p":0.9956140351,
|
334 |
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"r":0.9968632371,
|
335 |
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"f":0.9962382445
|
336 |
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},
|
337 |
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"Voice":{
|
338 |
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"p":0.9970149254,
|
339 |
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"r":0.9962714392,
|
340 |
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"f":0.9966430436
|
341 |
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},
|
342 |
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"AdpType":{
|
343 |
"p":1.0,
|
344 |
"r":1.0,
|
345 |
"f":1.0
|
346 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
347 |
"PronType":{
|
348 |
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"p":0.9990966576,
|
349 |
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"r":0.9981949458,
|
350 |
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"f":0.9986455982
|
351 |
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|
352 |
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"Case":{
|
353 |
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"p":1.0,
|
354 |
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"r":0.992248062,
|
355 |
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"f":0.9961089494
|
356 |
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|
357 |
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"Person":{
|
358 |
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"p":0.9982638889,
|
359 |
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"r":0.9965337955,
|
360 |
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"f":0.9973980919
|
361 |
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|
362 |
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"Number[psor]":{
|
363 |
"p":1.0,
|
364 |
"r":1.0,
|
365 |
"f":1.0
|
366 |
},
|
367 |
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"Poss":{
|
368 |
"p":1.0,
|
369 |
"r":1.0,
|
370 |
"f":1.0
|
371 |
},
|
372 |
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"PartType":{
|
373 |
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"p":0.9962406015,
|
374 |
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"r":0.9962406015,
|
375 |
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"f":0.9962406015
|
376 |
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},
|
377 |
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"Reflex":{
|
378 |
"p":1.0,
|
379 |
"r":1.0,
|
380 |
"f":1.0
|
381 |
},
|
382 |
"Foreign":{
|
383 |
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"p":0.0,
|
384 |
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"r":0.0,
|
385 |
+
"f":0.0
|
|
|
|
|
|
|
|
|
|
|
386 |
},
|
387 |
"Style":{
|
388 |
"p":1.0,
|
|
|
391 |
},
|
392 |
"Polite":{
|
393 |
"p":1.0,
|
394 |
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"r":0.6666666667,
|
395 |
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"f":0.8
|
396 |
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},
|
397 |
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"Abbr":{
|
398 |
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"p":1.0,
|
399 |
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"r":0.5,
|
400 |
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"f":0.6666666667
|
401 |
}
|
402 |
},
|
403 |
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"dep_uas":0.9280885781,
|
404 |
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"dep_las":0.9079997669,
|
405 |
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|
406 |
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"nummod":{
|
407 |
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"p":0.8738738739,
|
408 |
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"r":0.8584070796,
|
409 |
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"f":0.8660714286
|
410 |
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|
411 |
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"amod":{
|
412 |
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"p":0.9130434783,
|
413 |
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"r":0.9247706422,
|
414 |
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"f":0.9188696445
|
415 |
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|
416 |
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"nmod":{
|
417 |
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"p":0.8213507625,
|
418 |
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"r":0.8231441048,
|
419 |
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"f":0.8222464558
|
420 |
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|
421 |
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"nsubj":{
|
422 |
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"p":0.9587737844,
|
423 |
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"r":0.9597883598,
|
424 |
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"f":0.9592808038
|
425 |
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|
426 |
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"flat":{
|
427 |
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"p":0.9672131148,
|
428 |
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"r":0.9414893617,
|
429 |
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"f":0.9541778976
|
430 |
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|
431 |
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|
432 |
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"p":0.9019607843,
|
433 |
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"r":0.9139072848,
|
434 |
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"f":0.9078947368
|
435 |
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|
436 |
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|
437 |
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"p":0.8904899135,
|
438 |
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"r":0.8930635838,
|
439 |
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"f":0.8917748918
|
440 |
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|
441 |
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"root":{
|
442 |
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"p":0.9468085106,
|
443 |
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"r":0.9451327434,
|
444 |
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"f":0.9459698849
|
445 |
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},
|
446 |
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"advmod":{
|
447 |
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"p":0.9056316591,
|
448 |
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"r":0.892053973,
|
449 |
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"f":0.8987915408
|
450 |
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},
|
451 |
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"mark":{
|
452 |
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"p":0.9572072072,
|
453 |
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"r":0.9465478842,
|
454 |
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"f":0.9518477044
|
455 |
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|
456 |
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|
457 |
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"p":0.9782608696,
|
458 |
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"r":0.9692307692,
|
459 |
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"f":0.9737248841
|
460 |
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|
461 |
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"ccomp":{
|
462 |
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"p":0.7931034483,
|
463 |
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"r":0.8734177215,
|
464 |
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"f":0.8313253012
|
465 |
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|
466 |
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"case":{
|
467 |
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"p":0.9511677282,
|
468 |
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"r":0.9401888772,
|
469 |
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"f":0.945646438
|
470 |
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|
471 |
"det":{
|
472 |
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"p":0.96,
|
473 |
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"r":0.9677419355,
|
474 |
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"f":0.9638554217
|
475 |
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|
476 |
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"obl":{
|
477 |
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"p":0.8901453958,
|
478 |
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"r":0.8732171157,
|
479 |
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"f":0.8816
|
480 |
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|
481 |
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|
482 |
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"p":0.8245614035,
|
483 |
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"r":0.8623853211,
|
484 |
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"f":0.8430493274
|
485 |
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|
486 |
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"obj":{
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487 |
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"p":0.9362101313,
|
488 |
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"r":0.9504761905,
|
489 |
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"f":0.943289225
|
|
|
|
|
|
|
|
|
|
|
490 |
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|
491 |
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"cop":{
|
492 |
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"p":0.9036144578,
|
493 |
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"r":0.9202453988,
|
494 |
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"f":0.9118541033
|
495 |
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|
496 |
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"acl:relcl":{
|
497 |
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"p":0.8554913295,
|
498 |
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"r":0.8087431694,
|
499 |
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"f":0.8314606742
|
500 |
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|
501 |
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|
502 |
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"p":0.754601227,
|
503 |
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"r":0.7884615385,
|
504 |
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"f":0.7711598746
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|
|
|
|
|
|
|
|
|
|
505 |
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|
506 |
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"compound:prt":{
|
507 |
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"p":0.7,
|
508 |
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"r":0.6176470588,
|
509 |
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"f":0.65625
|
510 |
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|
511 |
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|
512 |
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"p":0.1368421053,
|
513 |
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"r":0.4333333333,
|
514 |
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"f":0.208
|
515 |
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|
516 |
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"fixed":{
|
517 |
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"p":0.9655172414,
|
518 |
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"r":0.9032258065,
|
519 |
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"f":0.9333333333
|
520 |
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|
521 |
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|
522 |
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"p":0.9230769231,
|
523 |
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"r":0.8,
|
524 |
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"f":0.8571428571
|
525 |
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},
|
526 |
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"appos":{
|
527 |
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"p":0.8,
|
528 |
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"r":0.7368421053,
|
529 |
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"f":0.7671232877
|
530 |
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},
|
531 |
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"obl:tmod":{
|
532 |
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"p":0.75,
|
533 |
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"r":0.375,
|
534 |
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"f":0.5
|
535 |
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|
536 |
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|
537 |
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"p":0.92,
|
538 |
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"r":0.71875,
|
539 |
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"f":0.8070175439
|
540 |
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},
|
541 |
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"advmod:lmod":{
|
542 |
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"p":0.8775510204,
|
543 |
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"r":0.8958333333,
|
544 |
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"f":0.8865979381
|
545 |
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},
|
546 |
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"expl":{
|
547 |
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"p":0.972972973,
|
548 |
+
"r":0.9230769231,
|
549 |
+
"f":0.9473684211
|
550 |
},
|
551 |
"list":{
|
552 |
+
"p":0.3636363636,
|
553 |
+
"r":0.2352941176,
|
554 |
+
"f":0.2857142857
|
555 |
},
|
556 |
+
"obl:lmod":{
|
557 |
+
"p":0.5,
|
558 |
+
"r":0.3333333333,
|
559 |
+
"f":0.4
|
560 |
+
},
|
561 |
+
"parataxis":{
|
562 |
"p":0.0,
|
563 |
"r":0.0,
|
564 |
"f":0.0
|
565 |
},
|
566 |
+
"orphan":{
|
567 |
+
"p":0.0,
|
568 |
+
"r":0.0,
|
569 |
+
"f":0.0
|
570 |
},
|
571 |
+
"vocative":{
|
572 |
+
"p":0.0,
|
573 |
+
"r":0.0,
|
574 |
+
"f":0.0
|
575 |
},
|
576 |
+
"discourse":{
|
577 |
+
"p":0.0,
|
578 |
+
"r":0.0,
|
579 |
+
"f":0.0
|
580 |
},
|
581 |
+
"dislocated":{
|
582 |
+
"p":0.0,
|
583 |
+
"r":0.0,
|
584 |
+
"f":0.0
|
585 |
},
|
586 |
+
"compound":{
|
587 |
"p":0.0,
|
588 |
"r":0.0,
|
589 |
"f":0.0
|
590 |
}
|
591 |
},
|
592 |
+
"ents_p":0.8858195212,
|
593 |
+
"ents_r":0.8620071685,
|
594 |
+
"ents_f":0.8737511353,
|
|
|
|
|
|
|
|
|
595 |
"ents_per_type":{
|
596 |
+
"LOC":{
|
597 |
+
"p":0.8613861386,
|
598 |
+
"r":0.90625,
|
599 |
+
"f":0.883248731
|
600 |
+
},
|
601 |
"PER":{
|
602 |
+
"p":0.9550561798,
|
603 |
+
"r":0.9444444444,
|
604 |
+
"f":0.9497206704
|
605 |
},
|
606 |
"ORG":{
|
607 |
+
"p":0.8819444444,
|
608 |
+
"r":0.7888198758,
|
609 |
+
"f":0.8327868852
|
610 |
},
|
611 |
"MISC":{
|
612 |
+
"p":0.8083333333,
|
613 |
+
"r":0.8016528926,
|
614 |
+
"f":0.8049792531
|
615 |
+
}
|
616 |
+
},
|
617 |
+
"lemma_acc":0.9589423796,
|
618 |
+
"coref_lea_f1":0.4672143289,
|
619 |
+
"coref_lea_precision":0.4590991705,
|
620 |
+
"coref_lea_recall":0.4756215411,
|
621 |
+
"nel_score":0.3428571429,
|
622 |
+
"nel_score_desc":"micro F",
|
623 |
+
"nel_micro_p":0.84,
|
624 |
+
"nel_micro_r":0.2153846154,
|
625 |
+
"nel_micro_f":0.3428571429,
|
626 |
+
"nel_macro_p":0.8670634921,
|
627 |
+
"nel_macro_r":0.2470462544,
|
628 |
+
"nel_macro_f":0.3727980563,
|
629 |
+
"nel_f_per_type":{
|
630 |
+
"MISC":{
|
631 |
+
"p":1.0,
|
632 |
+
"r":0.2777777778,
|
633 |
+
"f":0.4347826087
|
634 |
+
},
|
635 |
+
"PER":{
|
636 |
+
"p":0.8571428571,
|
637 |
+
"r":0.1,
|
638 |
+
"f":0.1791044776
|
639 |
},
|
640 |
"LOC":{
|
641 |
+
"p":1.0,
|
642 |
+
"r":0.4411764706,
|
643 |
+
"f":0.612244898
|
644 |
+
},
|
645 |
+
"ORG":{
|
646 |
+
"p":0.6111111111,
|
647 |
+
"r":0.1692307692,
|
648 |
+
"f":0.265060241
|
649 |
}
|
650 |
+
}
|
|
|
|
|
|
|
|
|
651 |
},
|
652 |
"sources":[
|
653 |
{
|
654 |
+
"name":"UD Danish DDT v2.11",
|
655 |
"url":"https://github.com/UniversalDependencies/UD_Danish-DDT",
|
656 |
"license":"CC BY-SA 4.0",
|
657 |
"author":"Johannsen, Anders; Mart\u00ednez Alonso, H\u00e9ctor; Plank, Barbara"
|
658 |
},
|
659 |
{
|
660 |
"name":"DaNE",
|
661 |
+
"url":"https://huggingface.co/datasets/dane",
|
662 |
"license":"CC BY-SA 4.0",
|
663 |
"author":"Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders S\u00f8gaard"
|
664 |
},
|
665 |
{
|
666 |
+
"name":"DaCoref",
|
667 |
+
"url":"https://huggingface.co/datasets/alexandrainst/dacoref",
|
668 |
+
"license":"CC BY-SA 4.0",
|
669 |
+
"author":"Buch-Kromann, Matthias"
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"name":"DaNED",
|
673 |
+
"url":"https://danlp-alexandra.readthedocs.io/en/stable/docs/datasets.html#daned",
|
674 |
+
"license":"CC BY-SA 4.0",
|
675 |
+
"author":"Barrett, M. J., Lam, H., Wu, M., Lacroix, O., Plank, B., & S\u00f8gaard, A."
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"name":"chcaa/dfm-encoder-large-v1",
|
679 |
+
"author":"The Danish Foundation Models team",
|
680 |
+
"url":"https://huggingface.co/chcaa/dfm-encoder-large-v1",
|
681 |
"license":"CC BY 4.0"
|
682 |
}
|
683 |
],
|
684 |
+
"notes":"\n\n### Training\nThis model was trained using [spaCy](https://spacy.io) and logged to [Weights & Biases](https://wandb.ai/kenevoldsen/dacy-v0.2.0). You can find all the training logs [here](https://wandb.ai/kenevoldsen/dacy-v0.2.0)."
|
|
|
|
|
|
|
685 |
}
|
morphologizer/cfg
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
{
|
|
|
2 |
"labels_morph":{
|
3 |
"AdpType=Prep|POS=ADP":"AdpType=Prep",
|
4 |
"Definite=Ind|Gender=Com|Number=Sing|POS=NOUN":"Definite=Ind|Gender=Com|Number=Sing",
|
@@ -14,149 +15,150 @@
|
|
14 |
"Degree=Pos|Number=Plur|POS=ADJ":"Degree=Pos|Number=Plur",
|
15 |
"Definite=Ind|Gender=Com|Number=Plur|POS=NOUN":"Definite=Ind|Gender=Com|Number=Plur",
|
16 |
"POS=PUNCT":"",
|
|
|
17 |
"POS=CCONJ":"",
|
18 |
-
"Definite=Ind|Degree=Cmp|Number=Sing|POS=ADJ":"Definite=Ind|Degree=Cmp|Number=Sing",
|
19 |
-
"Degree=Cmp|POS=ADJ":"Degree=Cmp",
|
20 |
-
"POS=PRON|PartType=Inf":"PartType=Inf",
|
21 |
-
"Gender=Com|Number=Sing|POS=DET|PronType=Ind":"Gender=Com|Number=Sing|PronType=Ind",
|
22 |
-
"Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ":"Definite=Ind|Degree=Pos|Number=Sing",
|
23 |
-
"Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs",
|
24 |
"Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN":"Definite=Ind|Gender=Neut|Number=Plur",
|
25 |
-
"
|
26 |
-
"Gender=Neut|Number=Sing|POS=
|
|
|
27 |
"Degree=Pos|POS=ADV":"Degree=Pos",
|
28 |
-
"
|
29 |
-
"
|
30 |
-
"POS=
|
31 |
-
"
|
32 |
-
"Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ":"Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing",
|
33 |
-
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Acc|Gender=Com|Number=Sing|Person=3|PronType=Prs",
|
34 |
-
"Degree=Pos|Gender=Com|Number=Sing|POS=ADJ":"Degree=Pos|Gender=Com|Number=Sing",
|
35 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Nom|Gender=Com|Number=Sing|Person=3|PronType=Prs",
|
36 |
-
"NumType=Ord|POS=ADJ":"NumType=Ord",
|
37 |
-
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
38 |
"Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin|Voice=Act":"Mood=Ind|Tense=Past|VerbForm=Fin|Voice=Act",
|
39 |
-
"
|
|
|
40 |
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Act":"Mood=Ind|Tense=Past|VerbForm=Fin|Voice=Act",
|
41 |
-
"POS=NOUN":"",
|
42 |
-
"Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Pass":"Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Pass",
|
43 |
"POS=ADP|PartType=Inf":"PartType=Inf",
|
|
|
|
|
44 |
"Degree=Pos|POS=ADJ":"Degree=Pos",
|
|
|
|
|
|
|
45 |
"Definite=Def|Gender=Com|Number=Plur|POS=NOUN":"Definite=Def|Gender=Com|Number=Plur",
|
46 |
-
"
|
|
|
|
|
|
|
47 |
"Case=Gen|Definite=Def|Gender=Com|Number=Sing|POS=NOUN":"Case=Gen|Definite=Def|Gender=Com|Number=Sing",
|
|
|
|
|
48 |
"POS=AUX|VerbForm=Inf|Voice=Act":"VerbForm=Inf|Voice=Act",
|
49 |
-
"Definite=Ind|Degree=Pos|Gender=
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
50 |
"Gender=Com|Number=Sing|POS=DET|PronType=Dem":"Gender=Com|Number=Sing|PronType=Dem",
|
51 |
-
"Number=Plur|POS=DET|PronType=Ind":"Number=Plur|PronType=Ind",
|
52 |
-
"
|
53 |
-
"
|
54 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
55 |
"Gender=Neut|Number=Sing|POS=DET|PronType=Ind":"Gender=Neut|Number=Sing|PronType=Ind",
|
56 |
-
"Case=
|
57 |
-
"
|
58 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
59 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Gender=Com|Number=Sing|Person=1|PronType=Prs",
|
60 |
-
"
|
61 |
-
"Gender=Neut|Number=Sing|POS=PRON|PronType=Ind":"Gender=Neut|Number=Sing|PronType=Ind",
|
62 |
-
"Mood=Imp|POS=VERB":"Mood=Imp",
|
63 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
64 |
-
"
|
65 |
-
"POS=
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
66 |
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Gender=Com|Number=Plur|Person=1|PronType=Prs",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
67 |
"Case=Gen|Definite=Def|Gender=Com|Number=Plur|POS=NOUN":"Case=Gen|Definite=Def|Gender=Com|Number=Plur",
|
68 |
-
"POS=VERB|Tense=Pres|VerbForm=Part":"Tense=Pres|VerbForm=Part",
|
69 |
-
"Number=Plur|POS=PRON|PronType=Int,Rel":"Number=Plur|PronType=Int,Rel",
|
70 |
-
"POS=VERB|VerbForm=Inf|Voice=Pass":"VerbForm=Inf|Voice=Pass",
|
71 |
-
"Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN":"Case=Gen|Definite=Ind|Gender=Com|Number=Sing",
|
72 |
-
"Degree=Cmp|POS=ADV":"Degree=Cmp",
|
73 |
-
"POS=ADV|PartType=Inf":"PartType=Inf",
|
74 |
-
"Degree=Sup|POS=ADV":"Degree=Sup",
|
75 |
"Number=Plur|POS=PRON|PronType=Dem":"Number=Plur|PronType=Dem",
|
76 |
-
"Number=Plur|POS=PRON|PronType=
|
77 |
-
"
|
78 |
-
"
|
79 |
-
"Case=Gen|POS=PROPN":"Case=Gen",
|
80 |
-
"POS=ADP":"",
|
81 |
"Degree=Cmp|Number=Plur|POS=ADJ":"Degree=Cmp|Number=Plur",
|
82 |
-
"
|
83 |
-
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
84 |
-
"Degree=Pos|Number=Sing|POS=ADJ":"Degree=Pos|Number=Sing",
|
85 |
-
"Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
86 |
"Gender=Com|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Gender=Com|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
87 |
"Number=Plur|POS=PRON|PronType=Rcp":"Number=Plur|PronType=Rcp",
|
|
|
88 |
"Case=Gen|Degree=Cmp|POS=ADJ":"Case=Gen|Degree=Cmp",
|
89 |
"Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN":"Case=Gen|Definite=Def|Gender=Neut|Number=Plur",
|
90 |
-
"Number
|
91 |
-
"POS=
|
92 |
-
"Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
93 |
-
"Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ":"Degree=Pos|Gender=Neut|Number=Sing",
|
94 |
-
"Gender=Neut|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Gender=Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
95 |
-
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs":"Case=Acc|Gender=Com|Number=Sing|Person=2|PronType=Prs",
|
96 |
-
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs",
|
97 |
-
"Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN":"Case=Gen|Definite=Ind|Gender=Neut|Number=Plur",
|
98 |
-
"Number=Sing|POS=PRON|PronType=Int,Rel":"Number=Sing|PronType=Int,Rel",
|
99 |
"Number=Plur|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
100 |
-
"Gender=Neut|Number=Sing|POS=
|
101 |
-
"Definite=Def|Degree=Sup|Number=Plur|POS=ADJ":"Definite=Def|Degree=Sup|Number=Plur",
|
102 |
-
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs":"Case=Nom|Gender=Com|Number=Sing|Person=2|PronType=Prs",
|
103 |
-
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
104 |
-
"Definite=Ind|Number=Sing|POS=NOUN":"Definite=Ind|Number=Sing",
|
105 |
-
"Number=Plur|POS=VERB|Tense=Past|VerbForm=Part":"Number=Plur|Tense=Past|VerbForm=Part",
|
106 |
"Number=Plur|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
107 |
-
"POS=
|
108 |
-
"Case=
|
109 |
-
"Degree=Sup|POS=ADJ":"Degree=Sup",
|
110 |
-
"Number=Plur|POS=DET|PronType=Ind|Style=Arch":"Number=Plur|PronType=Ind|Style=Arch",
|
111 |
-
"Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Dem":"Case=Gen|Gender=Com|Number=Sing|PronType=Dem",
|
112 |
-
"Foreign=Yes|POS=X":"Foreign=Yes",
|
113 |
"POS=DET|Person=2|Polite=Form|Poss=Yes|PronType=Prs":"Person=2|Polite=Form|Poss=Yes|PronType=Prs",
|
114 |
-
"
|
115 |
-
"
|
116 |
-
"
|
117 |
-
"
|
118 |
-
"
|
119 |
-
"Abbr=Yes|POS=X":"Abbr=Yes",
|
120 |
-
"Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN":"Case=Gen|Definite=Ind|Gender=Com|Number=Plur",
|
121 |
"Definite=Def|Degree=Abs|POS=ADJ":"Definite=Def|Degree=Abs",
|
122 |
-
"
|
123 |
-
"Definite=Ind|POS=
|
124 |
-
"Gender=Com|Number=Plur|POS=NOUN":"Gender=Com|Number=Plur",
|
125 |
-
"Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs",
|
126 |
-
"Gender=Com|POS=PRON|PronType=Int,Rel":"Gender=Com|PronType=Int,Rel",
|
127 |
-
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs":"Case=Nom|Gender=Com|Number=Plur|Person=2|PronType=Prs",
|
128 |
"Degree=Abs|POS=ADV":"Degree=Abs",
|
129 |
-
"POS=VERB|VerbForm=Ger":"VerbForm=Ger",
|
130 |
-
"POS=VERB|Tense=Past|VerbForm=Part":"Tense=Past|VerbForm=Part",
|
131 |
-
"Definite=Def|Degree=Sup|Number=Sing|POS=ADJ":"Definite=Def|Degree=Sup|Number=Sing",
|
132 |
-
"Number=Plur|Number[psor]=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
133 |
"Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ":"Case=Gen|Definite=Def|Degree=Pos|Number=Sing",
|
134 |
-
"Case=Gen|Degree=Pos|Number=Plur|POS=ADJ":"Case=Gen|Degree=Pos|Number=Plur",
|
135 |
-
"Case=Acc|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs":"Case=Acc|Gender=Com|Person=2|Polite=Form|PronType=Prs",
|
136 |
"Gender=Com|Number=Sing|POS=PRON|PronType=Int,Rel":"Gender=Com|Number=Sing|PronType=Int,Rel",
|
137 |
-
"POS=VERB|Tense=
|
138 |
-
"
|
139 |
-
"Number[psor]=Plur|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs",
|
140 |
-
"POS=PRON|Person=2|Polite=Form|Poss=Yes|PronType=Prs":"Person=2|Polite=Form|Poss=Yes|PronType=Prs",
|
141 |
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs",
|
142 |
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"POS=AUX|Tense=Pres|VerbForm=Part":"Tense=Pres|VerbForm=Part",
|
143 |
-
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Pass":"Mood=Ind|Tense=Past|VerbForm=Fin|Voice=Pass",
|
144 |
-
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
145 |
-
"Degree=Sup|Number=Plur|POS=ADJ":"Degree=Sup|Number=Plur",
|
146 |
-
"Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs":"Case=Acc|Gender=Com|Number=Plur|Person=2|PronType=Prs",
|
147 |
-
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
148 |
-
"Definite=Ind|Number=Plur|POS=NOUN":"Definite=Ind|Number=Plur",
|
149 |
-
"Case=Gen|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part":"Case=Gen|Number=Plur|Tense=Past|VerbForm=Part",
|
150 |
-
"Mood=Imp|POS=AUX":"Mood=Imp",
|
151 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=1|Poss=Yes|PronType=Prs":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
152 |
-
"Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs":"Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs",
|
153 |
-
"Definite=Def|Gender=Com|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part":"Definite=Def|Gender=Com|Number=Sing|Tense=Past|VerbForm=Part",
|
154 |
"Number=Plur|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs",
|
|
|
|
|
155 |
"Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Ind":"Case=Gen|Gender=Com|Number=Sing|PronType=Ind",
|
|
|
|
|
156 |
"Case=Gen|POS=NOUN":"Case=Gen",
|
157 |
-
"
|
158 |
-
"POS=DET|PronType=Dem":"PronType=Dem",
|
159 |
-
"Definite=Def|Number=Plur|POS=NOUN":"Definite=Def|Number=Plur"
|
160 |
},
|
161 |
"labels_pos":{
|
162 |
"AdpType=Prep|POS=ADP":85,
|
@@ -173,148 +175,150 @@
|
|
173 |
"Degree=Pos|Number=Plur|POS=ADJ":84,
|
174 |
"Definite=Ind|Gender=Com|Number=Plur|POS=NOUN":92,
|
175 |
"POS=PUNCT":97,
|
|
|
176 |
"POS=CCONJ":89,
|
177 |
-
"Definite=Ind|Degree=Cmp|Number=Sing|POS=ADJ":84,
|
178 |
-
"Degree=Cmp|POS=ADJ":84,
|
179 |
-
"POS=PRON|PartType=Inf":95,
|
180 |
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"Gender=Com|Number=Sing|POS=DET|PronType=Ind":90,
|
181 |
-
"Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ":84,
|
182 |
-
"Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs":95,
|
183 |
"Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN":92,
|
184 |
-
"
|
185 |
-
"Gender=Neut|Number=Sing|POS=
|
|
|
186 |
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|
187 |
-
"
|
188 |
-
"
|
189 |
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"POS=
|
190 |
-
"
|
191 |
-
"Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ":84,
|
192 |
-
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs":95,
|
193 |
-
"Degree=Pos|Gender=Com|Number=Sing|POS=ADJ":84,
|
194 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs":95,
|
195 |
-
"NumType=Ord|POS=ADJ":84,
|
196 |
-
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":90,
|
197 |
"Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin|Voice=Act":87,
|
198 |
-
"
|
|
|
199 |
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Act":100,
|
200 |
-
"POS=NOUN":92,
|
201 |
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"Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Pass":100,
|
202 |
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|
|
|
|
|
203 |
"Degree=Pos|POS=ADJ":84,
|
|
|
|
|
|
|
204 |
"Definite=Def|Gender=Com|Number=Plur|POS=NOUN":92,
|
205 |
-
"
|
|
|
|
|
|
|
206 |
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|
|
|
|
|
207 |
"POS=AUX|VerbForm=Inf|Voice=Act":87,
|
208 |
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"Definite=Ind|Degree=Pos|Gender=
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
209 |
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|
210 |
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"Number=Plur|POS=DET|PronType=Ind":90,
|
211 |
-
"
|
212 |
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"
|
213 |
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"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
214 |
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|
215 |
-
"Case=
|
216 |
-
"
|
217 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
218 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs":95,
|
219 |
-
"
|
220 |
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"Gender=Neut|Number=Sing|POS=PRON|PronType=Ind":95,
|
221 |
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"Mood=Imp|POS=VERB":100,
|
222 |
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|
223 |
-
"
|
224 |
-
"POS=
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
225 |
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
226 |
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|
227 |
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"POS=VERB|Tense=Pres|VerbForm=Part":100,
|
228 |
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"Number=Plur|POS=PRON|PronType=Int,Rel":95,
|
229 |
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"POS=VERB|VerbForm=Inf|Voice=Pass":100,
|
230 |
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"Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN":92,
|
231 |
-
"Degree=Cmp|POS=ADV":86,
|
232 |
-
"POS=ADV|PartType=Inf":86,
|
233 |
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"Degree=Sup|POS=ADV":86,
|
234 |
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|
235 |
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"Number=Plur|POS=PRON|PronType=
|
236 |
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"
|
237 |
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"
|
238 |
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"Case=Gen|POS=PROPN":96,
|
239 |
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"POS=ADP":85,
|
240 |
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|
241 |
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"
|
242 |
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"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":90,
|
243 |
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"Degree=Pos|Number=Sing|POS=ADJ":84,
|
244 |
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"Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":90,
|
245 |
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
246 |
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|
|
|
247 |
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|
248 |
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|
249 |
-
"Number
|
250 |
-
"POS=
|
251 |
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"Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":90,
|
252 |
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"Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ":84,
|
253 |
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254 |
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"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs":95,
|
255 |
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|
256 |
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"Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN":92,
|
257 |
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"Number=Sing|POS=PRON|PronType=Int,Rel":95,
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258 |
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259 |
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"Gender=Neut|Number=Sing|POS=
|
260 |
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"Definite=Def|Degree=Sup|Number=Plur|POS=ADJ":84,
|
261 |
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"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs":95,
|
262 |
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"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":90,
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263 |
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"Definite=Ind|Number=Sing|POS=NOUN":92,
|
264 |
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"Number=Plur|POS=VERB|Tense=Past|VerbForm=Part":100,
|
265 |
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|
266 |
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"POS=
|
267 |
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"Case=
|
268 |
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"Degree=Sup|POS=ADJ":84,
|
269 |
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|
270 |
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"Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Dem":90,
|
271 |
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"Foreign=Yes|POS=X":101,
|
272 |
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|
273 |
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"
|
274 |
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"
|
275 |
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"
|
276 |
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"
|
277 |
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"
|
278 |
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"Abbr=Yes|POS=X":101,
|
279 |
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"Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN":92,
|
280 |
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|
281 |
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"
|
282 |
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"Definite=Ind|POS=
|
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"Gender=Com|Number=Plur|POS=NOUN":92,
|
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"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs":95,
|
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|
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"POS=VERB|VerbForm=Ger":100,
|
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"POS=VERB|Tense=Past|VerbForm=Part":100,
|
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|
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"Case=Gen|Degree=Pos|Number=Plur|POS=ADJ":84,
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"POS=VERB|Tense=
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|
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"POS=PRON|Person=2|Polite=Form|Poss=Yes|PronType=Prs":95,
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"POS=AUX|Tense=Pres|VerbForm=Part":87,
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|
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|
|
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|
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|
316 |
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"
|
317 |
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|
318 |
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|
319 |
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}
|
320 |
}
|
|
|
1 |
{
|
2 |
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"extend":false,
|
3 |
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|
4 |
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|
5 |
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|
|
15 |
"Degree=Pos|Number=Plur|POS=ADJ":"Degree=Pos|Number=Plur",
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16 |
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|
17 |
"POS=PUNCT":"",
|
18 |
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"NumType=Ord|POS=ADJ":"NumType=Ord",
|
19 |
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|
|
|
|
|
|
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|
20 |
"Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN":"Definite=Ind|Gender=Neut|Number=Plur",
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21 |
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"POS=VERB|VerbForm=Inf|Voice=Act":"VerbForm=Inf|Voice=Act",
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22 |
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"Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs",
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23 |
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"Degree=Sup|POS=ADV":"Degree=Sup",
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24 |
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25 |
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"Gender=Com|Number=Sing|POS=DET|PronType=Ind":"Gender=Com|Number=Sing|PronType=Ind",
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"Number=Plur|POS=DET|PronType=Ind":"Number=Plur|PronType=Ind",
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27 |
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"POS=ADP":"",
|
28 |
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"POS=ADV|PartType=Inf":"PartType=Inf",
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|
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|
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"Definite=Def|Degree=Pos|Number=Sing|POS=ADJ":"Definite=Def|Degree=Pos|Number=Sing",
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|
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35 |
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"NumType=Card|POS=NUM":"NumType=Card",
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"POS=PART|PartType=Inf":"PartType=Inf",
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"Case=Acc|POS=PRON|Person=3|PronType=Prs|Reflex=Yes":"Case=Acc|Person=3|PronType=Prs|Reflex=Yes",
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"Case=Acc|Number=Plur|POS=PRON|Person=3|PronType=Prs":"Case=Acc|Number=Plur|Person=3|PronType=Prs",
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"Number=Plur|POS=PRON|PronType=Ind":"Number=Plur|PronType=Ind",
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"POS=INTJ":"",
|
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"Definite=Def|Gender=Neut|Number=Plur|POS=NOUN":"Definite=Def|Gender=Neut|Number=Plur",
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63 |
+
"Number=Plur|Number[psor]=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
64 |
+
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Acc|Gender=Com|Number=Sing|Person=3|PronType=Prs",
|
65 |
+
"Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
66 |
+
"Case=Gen|POS=PROPN":"Case=Gen",
|
67 |
+
"Gender=Neut|Number=Sing|POS=PRON|PronType=Ind":"Gender=Neut|Number=Sing|PronType=Ind",
|
68 |
+
"Number=Plur|POS=VERB|Tense=Past|VerbForm=Part":"Number=Plur|Tense=Past|VerbForm=Part",
|
69 |
+
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
70 |
+
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs":"Case=Acc|Gender=Com|Number=Sing|Person=1|PronType=Prs",
|
71 |
+
"Definite=Def|Degree=Sup|POS=ADJ":"Definite=Def|Degree=Sup",
|
72 |
"Gender=Neut|Number=Sing|POS=DET|PronType=Ind":"Gender=Neut|Number=Sing|PronType=Ind",
|
73 |
+
"Case=Gen|Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN":"Case=Gen|Definite=Ind|Gender=Neut|Number=Sing",
|
74 |
+
"Gender=Neut|Number=Sing|POS=DET|PronType=Dem":"Gender=Neut|Number=Sing|PronType=Dem",
|
75 |
+
"Definite=Def|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part":"Definite=Def|Number=Sing|Tense=Past|VerbForm=Part",
|
76 |
+
"POS=PRON|PronType=Dem":"PronType=Dem",
|
77 |
+
"Degree=Pos|Gender=Com|Number=Sing|POS=ADJ":"Degree=Pos|Gender=Com|Number=Sing",
|
78 |
+
"Number=Plur|POS=NUM":"Number=Plur",
|
79 |
+
"POS=VERB|VerbForm=Inf|Voice=Pass":"VerbForm=Inf|Voice=Pass",
|
80 |
+
"Definite=Def|Degree=Sup|Number=Sing|POS=ADJ":"Definite=Def|Degree=Sup|Number=Sing",
|
81 |
+
"Number=Sing|POS=PRON|PronType=Int,Rel":"Number=Sing|PronType=Int,Rel",
|
82 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Gender=Com|Number=Sing|Person=1|PronType=Prs",
|
83 |
+
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
|
|
|
|
84 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
85 |
+
"POS=PRON":"",
|
86 |
+
"Definite=Ind|Number=Sing|POS=NOUN":"Definite=Ind|Number=Sing",
|
87 |
+
"Definite=Ind|Number=Sing|POS=NUM":"Definite=Ind|Number=Sing",
|
88 |
+
"Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN":"Case=Gen|Definite=Ind|Gender=Com|Number=Sing",
|
89 |
+
"Foreign=Yes|POS=ADV":"Foreign=Yes",
|
90 |
+
"POS=NOUN":"",
|
91 |
+
"Case=Gen|Definite=Def|Gender=Neut|Number=Sing|POS=NOUN":"Case=Gen|Definite=Def|Gender=Neut|Number=Sing",
|
92 |
+
"Gender=Com|Number=Plur|POS=NOUN":"Gender=Com|Number=Plur",
|
93 |
+
"Gender=Neut|Number=Sing|POS=PRON|PronType=Int,Rel":"Gender=Neut|Number=Sing|PronType=Int,Rel",
|
94 |
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Gender=Com|Number=Plur|Person=1|PronType=Prs",
|
95 |
+
"Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs",
|
96 |
+
"Gender=Com|Number=Sing|POS=PRON|PronType=Ind":"Gender=Com|Number=Sing|PronType=Ind",
|
97 |
+
"Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN":"Case=Gen|Definite=Ind|Gender=Com|Number=Plur",
|
98 |
+
"Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ":"Degree=Pos|Gender=Neut|Number=Sing",
|
99 |
+
"Degree=Sup|POS=ADJ":"Degree=Sup",
|
100 |
+
"Degree=Pos|Number=Sing|POS=ADJ":"Degree=Pos|Number=Sing",
|
101 |
+
"Mood=Imp|POS=VERB":"Mood=Imp",
|
102 |
+
"Case=Nom|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs":"Case=Nom|Gender=Com|Person=2|Polite=Form|PronType=Prs",
|
103 |
+
"Case=Acc|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs":"Case=Acc|Gender=Com|Person=2|Polite=Form|PronType=Prs",
|
104 |
+
"POS=X":"",
|
105 |
"Case=Gen|Definite=Def|Gender=Com|Number=Plur|POS=NOUN":"Case=Gen|Definite=Def|Gender=Com|Number=Plur",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
106 |
"Number=Plur|POS=PRON|PronType=Dem":"Number=Plur|PronType=Dem",
|
107 |
+
"Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs":"Case=Acc|Gender=Com|Number=Plur|Person=1|PronType=Prs",
|
108 |
+
"Number=Plur|POS=PRON|PronType=Int,Rel":"Number=Plur|PronType=Int,Rel",
|
109 |
+
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
|
|
|
|
110 |
"Degree=Cmp|Number=Plur|POS=ADJ":"Degree=Cmp|Number=Plur",
|
111 |
+
"Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":"Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
|
|
|
|
|
|
112 |
"Gender=Com|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Gender=Com|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
113 |
+
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs":"Case=Nom|Gender=Com|Number=Sing|Person=2|PronType=Prs",
|
114 |
+
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs":"Case=Acc|Gender=Com|Number=Sing|Person=2|PronType=Prs",
|
115 |
+
"Gender=Com|POS=PRON|PronType=Int,Rel":"Gender=Com|PronType=Int,Rel",
|
116 |
+
"Case=Gen|Degree=Pos|Number=Plur|POS=ADJ":"Case=Gen|Degree=Pos|Number=Plur",
|
117 |
+
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
118 |
+
"POS=VERB|VerbForm=Ger":"VerbForm=Ger",
|
119 |
+
"Gender=Com|Number=Sing|POS=PRON|PronType=Dem":"Gender=Com|Number=Sing|PronType=Dem",
|
120 |
+
"Case=Gen|POS=PRON|PronType=Int,Rel":"Case=Gen|PronType=Int,Rel",
|
121 |
+
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Pass":"Mood=Ind|Tense=Past|VerbForm=Fin|Voice=Pass",
|
122 |
+
"Abbr=Yes|POS=X":"Abbr=Yes",
|
123 |
+
"Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN":"Case=Gen|Definite=Ind|Gender=Neut|Number=Plur",
|
124 |
+
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs",
|
125 |
+
"Definite=Ind|Number=Plur|POS=NOUN":"Definite=Ind|Number=Plur",
|
126 |
+
"Foreign=Yes|POS=X":"Foreign=Yes",
|
127 |
"Number=Plur|POS=PRON|PronType=Rcp":"Number=Plur|PronType=Rcp",
|
128 |
+
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs":"Case=Nom|Gender=Com|Number=Plur|Person=2|PronType=Prs",
|
129 |
"Case=Gen|Degree=Cmp|POS=ADJ":"Case=Gen|Degree=Cmp",
|
130 |
"Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN":"Case=Gen|Definite=Def|Gender=Neut|Number=Plur",
|
131 |
+
"Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs":"Case=Acc|Gender=Com|Number=Plur|Person=2|PronType=Prs",
|
132 |
+
"Gender=Neut|Number=Sing|POS=PRON|PronType=Dem":"Gender=Neut|Number=Sing|PronType=Dem",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
133 |
"Number=Plur|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
134 |
+
"Gender=Neut|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form":"Gender=Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Form",
|
|
|
|
|
|
|
|
|
|
|
135 |
"Number=Plur|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":"Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes",
|
136 |
+
"Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs":"Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs",
|
137 |
+
"Case=Gen|Number=Plur|POS=PRON|PronType=Rcp":"Case=Gen|Number=Plur|PronType=Rcp",
|
|
|
|
|
|
|
|
|
138 |
"POS=DET|Person=2|Polite=Form|Poss=Yes|PronType=Prs":"Person=2|Polite=Form|Poss=Yes|PronType=Prs",
|
139 |
+
"POS=SYM":"",
|
140 |
+
"POS=DET|PronType=Dem":"PronType=Dem",
|
141 |
+
"Gender=Com|Number=Sing|POS=NUM":"Gender=Com|Number=Sing",
|
142 |
+
"Number[psor]=Plur|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs",
|
143 |
+
"Case=Gen|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part":"Case=Gen|Number=Plur|Tense=Past|VerbForm=Part",
|
|
|
|
|
144 |
"Definite=Def|Degree=Abs|POS=ADJ":"Definite=Def|Degree=Abs",
|
145 |
+
"POS=VERB|Tense=Pres":"Tense=Pres",
|
146 |
+
"Definite=Ind|Gender=Neut|Number=Sing|POS=NUM":"Definite=Ind|Gender=Neut|Number=Sing",
|
|
|
|
|
|
|
|
|
147 |
"Degree=Abs|POS=ADV":"Degree=Abs",
|
|
|
|
|
|
|
|
|
148 |
"Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ":"Case=Gen|Definite=Def|Degree=Pos|Number=Sing",
|
|
|
|
|
149 |
"Gender=Com|Number=Sing|POS=PRON|PronType=Int,Rel":"Gender=Com|Number=Sing|PronType=Int,Rel",
|
150 |
+
"POS=VERB|Tense=Past|VerbForm=Part":"Tense=Past|VerbForm=Part",
|
151 |
+
"Definite=Ind|Degree=Sup|Number=Sing|POS=ADJ":"Definite=Ind|Degree=Sup|Number=Sing",
|
|
|
|
|
152 |
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Gender=Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
153 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=1|Poss=Yes|PronType=Prs":"Gender=Com|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs",
|
|
|
|
|
154 |
"Number=Plur|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs":"Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs",
|
155 |
+
"Number[psor]=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs":"Number[psor]=Plur|Person=3|Poss=Yes|PronType=Prs",
|
156 |
+
"Definite=Ind|POS=NOUN":"Definite=Ind",
|
157 |
"Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Ind":"Case=Gen|Gender=Com|Number=Sing|PronType=Ind",
|
158 |
+
"Definite=Ind|Gender=Com|Number=Sing|POS=NUM":"Definite=Ind|Gender=Com|Number=Sing",
|
159 |
+
"Definite=Def|Number=Plur|POS=NOUN":"Definite=Def|Number=Plur",
|
160 |
"Case=Gen|POS=NOUN":"Case=Gen",
|
161 |
+
"POS=AUX|Tense=Pres|VerbForm=Part":"Tense=Pres|VerbForm=Part"
|
|
|
|
|
162 |
},
|
163 |
"labels_pos":{
|
164 |
"AdpType=Prep|POS=ADP":85,
|
|
|
175 |
"Degree=Pos|Number=Plur|POS=ADJ":84,
|
176 |
"Definite=Ind|Gender=Com|Number=Plur|POS=NOUN":92,
|
177 |
"POS=PUNCT":97,
|
178 |
+
"NumType=Ord|POS=ADJ":84,
|
179 |
"POS=CCONJ":89,
|
|
|
|
|
|
|
|
|
|
|
|
|
180 |
"Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN":92,
|
181 |
+
"POS=VERB|VerbForm=Inf|Voice=Act":100,
|
182 |
+
"Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs":95,
|
183 |
+
"Degree=Sup|POS=ADV":86,
|
184 |
"Degree=Pos|POS=ADV":86,
|
185 |
+
"Gender=Com|Number=Sing|POS=DET|PronType=Ind":90,
|
186 |
+
"Number=Plur|POS=DET|PronType=Ind":90,
|
187 |
+
"POS=ADP":85,
|
188 |
+
"POS=ADV|PartType=Inf":86,
|
|
|
|
|
|
|
189 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs":95,
|
|
|
|
|
190 |
"Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin|Voice=Act":87,
|
191 |
+
"Definite=Def|Degree=Pos|Number=Sing|POS=ADJ":84,
|
192 |
+
"Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs":90,
|
193 |
"Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Act":100,
|
|
|
|
|
194 |
"POS=ADP|PartType=Inf":85,
|
195 |
+
"Definite=Ind|Degree=Pos|Gender=Com|Number=Sing|POS=ADJ":84,
|
196 |
+
"NumType=Card|POS=NUM":93,
|
197 |
"Degree=Pos|POS=ADJ":84,
|
198 |
+
"Definite=Ind|Number=Sing|POS=AUX|Tense=Past|VerbForm=Part":87,
|
199 |
+
"POS=PART|PartType=Inf":94,
|
200 |
+
"Case=Acc|POS=PRON|Person=3|PronType=Prs|Reflex=Yes":95,
|
201 |
"Definite=Def|Gender=Com|Number=Plur|POS=NOUN":92,
|
202 |
+
"Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN":92,
|
203 |
+
"Number[psor]=Plur|POS=DET|Person=3|Poss=Yes|PronType=Prs":90,
|
204 |
+
"POS=VERB|Tense=Pres|VerbForm=Part":100,
|
205 |
+
"Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs":95,
|
206 |
"Case=Gen|Definite=Def|Gender=Com|Number=Sing|POS=NOUN":92,
|
207 |
+
"Definite=Def|Degree=Sup|Number=Plur|POS=ADJ":84,
|
208 |
+
"Case=Acc|Number=Plur|POS=PRON|Person=3|PronType=Prs":95,
|
209 |
"POS=AUX|VerbForm=Inf|Voice=Act":87,
|
210 |
+
"Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ":84,
|
211 |
+
"Definite=Ind|Degree=Cmp|Number=Sing|POS=ADJ":84,
|
212 |
+
"Degree=Cmp|POS=ADJ":84,
|
213 |
+
"POS=PRON|PartType=Inf":95,
|
214 |
+
"Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ":84,
|
215 |
+
"Case=Nom|Gender=Com|POS=PRON|PronType=Ind":95,
|
216 |
+
"Number=Plur|POS=PRON|PronType=Ind":95,
|
217 |
+
"POS=INTJ":91,
|
218 |
"Gender=Com|Number=Sing|POS=DET|PronType=Dem":90,
|
219 |
+
"Case=Gen|Number=Plur|POS=DET|PronType=Ind":90,
|
220 |
+
"Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Pass":100,
|
221 |
+
"Definite=Def|Gender=Neut|Number=Plur|POS=NOUN":92,
|
222 |
+
"Degree=Cmp|POS=ADV":86,
|
223 |
+
"Number=Plur|Number[psor]=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs|Style=Form":95,
|
224 |
+
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs":95,
|
225 |
+
"Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":90,
|
226 |
+
"Case=Gen|POS=PROPN":96,
|
227 |
+
"Gender=Neut|Number=Sing|POS=PRON|PronType=Ind":95,
|
228 |
+
"Number=Plur|POS=VERB|Tense=Past|VerbForm=Part":100,
|
229 |
+
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes":90,
|
230 |
+
"Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs":95,
|
231 |
+
"Definite=Def|Degree=Sup|POS=ADJ":84,
|
232 |
"Gender=Neut|Number=Sing|POS=DET|PronType=Ind":90,
|
233 |
+
"Case=Gen|Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN":92,
|
234 |
+
"Gender=Neut|Number=Sing|POS=DET|PronType=Dem":90,
|
235 |
+
"Definite=Def|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part":100,
|
236 |
+
"POS=PRON|PronType=Dem":95,
|
237 |
+
"Degree=Pos|Gender=Com|Number=Sing|POS=ADJ":84,
|
238 |
+
"Number=Plur|POS=NUM":93,
|
239 |
+
"POS=VERB|VerbForm=Inf|Voice=Pass":100,
|
240 |
+
"Definite=Def|Degree=Sup|Number=Sing|POS=ADJ":84,
|
241 |
+
"Number=Sing|POS=PRON|PronType=Int,Rel":95,
|
242 |
"Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs":95,
|
243 |
+
"Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":90,
|
|
|
|
|
244 |
"Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs":90,
|
245 |
+
"POS=PRON":95,
|
246 |
+
"Definite=Ind|Number=Sing|POS=NOUN":92,
|
247 |
+
"Definite=Ind|Number=Sing|POS=NUM":93,
|
248 |
+
"Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN":92,
|
249 |
+
"Foreign=Yes|POS=ADV":86,
|
250 |
+
"POS=NOUN":92,
|
251 |
+
"Case=Gen|Definite=Def|Gender=Neut|Number=Sing|POS=NOUN":92,
|
252 |
+
"Gender=Com|Number=Plur|POS=NOUN":92,
|
253 |
+
"Gender=Neut|Number=Sing|POS=PRON|PronType=Int,Rel":95,
|
254 |
"Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs":95,
|
255 |
+
"Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs":90,
|
256 |
+
"Gender=Com|Number=Sing|POS=PRON|PronType=Ind":95,
|
257 |
+
"Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN":92,
|
258 |
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