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Update spaCy pipeline

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LICENSES_SOURCES CHANGED
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- # UD Dutch LassySmall v2.5
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  * Author: Bouma, Gosse; van Noord, Gertjan
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  * URL: https://github.com/UniversalDependencies/UD_Dutch-LassySmall
@@ -878,7 +878,7 @@ Creative Commons may be contacted at creativecommons.org.
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- # UD Dutch LassySmall v2.5
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  * Author: Bouma, Gosse; van Noord, Gertjan
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  * URL: https://github.com/UniversalDependencies/UD_Dutch-LassySmall
@@ -1318,7 +1318,7 @@ Creative Commons may be contacted at creativecommons.org.
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- # UD Dutch Alpino v2.5
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  * Author: Zeman, Daniel; Žabokrtský, Zdeněk; Bouma, Gosse; van Noord, Gertjan
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  * URL: https://github.com/UniversalDependencies/UD_Dutch-Alpino
 
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+ # UD Dutch LassySmall v2.8
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  * Author: Bouma, Gosse; van Noord, Gertjan
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  * URL: https://github.com/UniversalDependencies/UD_Dutch-LassySmall
 
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+ # UD Dutch LassySmall v2.8
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  * Author: Bouma, Gosse; van Noord, Gertjan
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  * URL: https://github.com/UniversalDependencies/UD_Dutch-LassySmall
 
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+ # UD Dutch Alpino v2.8
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  * Author: Zeman, Daniel; Žabokrtský, Zdeněk; Bouma, Gosse; van Noord, Gertjan
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  * URL: https://github.com/UniversalDependencies/UD_Dutch-Alpino
README.md CHANGED
@@ -4,7 +4,7 @@ tags:
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  - token-classification
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  language:
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  - nl
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- license: CC-BY-SA-4.0
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  model-index:
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  - name: nl_core_news_lg
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  results:
@@ -14,47 +14,47 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.7858657244
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  - name: NER Recall
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  type: recall
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- value: 0.7690179806
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  - name: NER F Score
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  type: f_score
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- value: 0.7773505767
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: POS Accuracy
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  type: accuracy
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- value: 0.9478092081
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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: 0.8604008293
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  - name: SENTER Recall
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  type: recall
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- value: 0.8931133429
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  - name: SENTER F Score
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  type: f_score
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- value: 0.8764519535
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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: 0.8686371933
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  - task:
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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: 0.8686371933
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  ---
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  ### Details: https://spacy.io/models/nl#nl_core_news_lg
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@@ -63,12 +63,12 @@ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, pa
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `nl_core_news_lg` |
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- | **Version** | `3.1.0` |
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- | **spaCy** | `>=3.1.0,<3.2.0` |
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  | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
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- | **Sources** | [UD Dutch LassySmall v2.5](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[Dutch NER Annotations for UD LassySmall](https://nlp.town) (NLP Town)<br />[UD Dutch LassySmall v2.5](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[UD Dutch Alpino v2.5](https://github.com/UniversalDependencies/UD_Dutch-Alpino) (Zeman, Daniel; Žabokrtský, Zdeněk; Bouma, Gosse; van Noord, Gertjan)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
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  | **License** | `CC BY-SA 4.0` |
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  | **Author** | [Explosion](https://explosion.ai) |
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@@ -76,12 +76,12 @@ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, pa
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  <details>
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- <summary>View label scheme (318 labels for 5 components)</summary>
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  | Component | Labels |
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  | --- | --- |
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- | **`morphologizer`** | `POS=PRON\|Person=3\|PronType=Dem`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `POS=VERB\|VerbForm=Part`, `POS=PUNCT`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `POS=NUM`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=SCONJ`, `Definite=Def\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=AUX\|VerbForm=Inf`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=DET`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=CCONJ`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Ind`, `Degree=Cmp\|POS=ADJ`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|POS=DET`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PROPN`, `POS=PRON\|PronType=Ind`, `POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=NOUN`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SYM`, `Abbr=Yes\|POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Degree=Sup\|POS=ADJ`, `Foreign=Yes\|POS=X`, `POS=ADJ`, `Number=Sing\|POS=PROPN`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|Person=3\|PronType=Rel`, `Number=Plur\|POS=PROPN`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=PRON\|PronType=Dem`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `POS=X`, `POS=INTJ`, `Case=Gen\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PRON\|PronType=Int`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|POS=PRON\|Person=2\|PronType=Prs` |
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- | **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|mv-n`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|comp\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|met-s`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|postnom\|comp\|met-s`, `ADJ\|prenom\|basis\|met-e\|bijz`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|dim\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|dat\|evmo`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|meta`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|mv-n\|dim`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|mv-n`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|dat\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|dat\|prenom\|met-e\|evmo`, `VNW\|aanw\|det\|gen\|prenom\|met-e\|rest3`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|det\|stan\|vrij\|zonder`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|gen\|vol\|3\|ev\|prenom\|met-e\|rest3`, `VNW\|bez\|det\|stan\|nadr\|2v\|mv\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3p\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|onbep\|adv-pron\|gen\|red\|3\|getal`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|gen\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|sup`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|comp`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|gen\|vol\|3p\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|gen\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|nomin\|nadr\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|2\|getal`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|2v\|ev`, `VNW\|pers\|pron\|nomin\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|2v\|ev`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|nadr\|2v\|mv`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|nadr\|1\|ev`, `VNW\|pr\|pron\|obl\|nadr\|2v\|getal`, `VNW\|pr\|pron\|obl\|nadr\|2\|getal`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|pr\|pron\|obl\|vol\|2\|getal`, `VNW\|recip\|pron\|gen\|vol\|persoon\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|vb\|det\|stan\|prenom\|met-e\|rest`, `VNW\|vb\|det\|stan\|prenom\|zonder\|evon`, `VNW\|vb\|pron\|gen\|vol\|3m\|ev`, `VNW\|vb\|pron\|gen\|vol\|3p\|mv`, `VNW\|vb\|pron\|gen\|vol\|3v\|ev`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|prenom\|met-e`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
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  | **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
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  | **`senter`** | `I`, `S` |
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  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
@@ -92,16 +92,22 @@ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, pa
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  | Type | Score |
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  | --- | --- |
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- | `TAG_ACC` | 94.78 |
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- | `DEP_UAS` | 86.86 |
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- | `DEP_LAS` | 82.40 |
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- | `ENTS_P` | 78.59 |
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- | `ENTS_R` | 76.90 |
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- | `ENTS_F` | 77.74 |
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- | `SENTS_P` | 86.04 |
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- | `SENTS_R` | 89.31 |
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- | `SENTS_F` | 87.65 |
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  | `TOKEN_ACC` | 99.97 |
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- | `POS_ACC` | 96.31 |
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- | `MORPH_ACC` | 95.95 |
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- | `LEMMA_ACC` | 85.40 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - token-classification
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  language:
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  - nl
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+ license: cc-by-sa-4.0
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  model-index:
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  - name: nl_core_news_lg
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  results:
 
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  metrics:
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  - name: NER Precision
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  type: precision
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+ value: 0.7772241993
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  - name: NER Recall
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  type: recall
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+ value: 0.755186722
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  - name: NER F Score
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  type: f_score
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+ value: 0.7660470011
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: POS Accuracy
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  type: accuracy
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+ value: 0.9543293348
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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: 0.866340098
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  - name: SENTER Recall
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  type: recall
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+ value: 0.8880918221
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  - name: SENTER F Score
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  type: f_score
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+ value: 0.8770811194
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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: 0.8701736595
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  - task:
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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: 0.8701736595
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  ---
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  ### Details: https://spacy.io/models/nl#nl_core_news_lg
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `nl_core_news_lg` |
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+ | **Version** | `3.2.0` |
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+ | **spaCy** | `>=3.2.0,<3.3.0` |
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  | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
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+ | **Sources** | [UD Dutch LassySmall v2.8](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[Dutch NER Annotations for UD LassySmall](https://nlp.town) (NLP Town)<br />[UD Dutch LassySmall v2.8](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[UD Dutch Alpino v2.8](https://github.com/UniversalDependencies/UD_Dutch-Alpino) (Zeman, Daniel; Žabokrtský, Zdeněk; Bouma, Gosse; van Noord, Gertjan)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
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  | **License** | `CC BY-SA 4.0` |
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  | **Author** | [Explosion](https://explosion.ai) |
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  <details>
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+ <summary>View label scheme (323 labels for 5 components)</summary>
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  | Component | Labels |
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  | --- | --- |
83
+ | **`morphologizer`** | `POS=PRON\|Person=3\|PronType=Dem`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `POS=VERB\|VerbForm=Part`, `POS=PUNCT`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `POS=NUM`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=SCONJ`, `Definite=Def\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=AUX\|VerbForm=Inf`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=DET`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=CCONJ`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Ind`, `Degree=Cmp\|POS=ADJ`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|POS=DET`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PROPN`, `POS=PRON\|PronType=Ind`, `POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=NOUN`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SYM`, `Abbr=Yes\|POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Degree=Sup\|POS=ADJ`, `POS=ADJ`, `Number=Sing\|POS=PROPN`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|Person=3\|PronType=Rel`, `Number=Plur\|POS=PROPN`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=PRON\|PronType=Dem`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `POS=INTJ`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PRON\|PronType=Int`, `POS=PRON\|Person=2\|PronType=Prs`, `POS=PRON\|Person=3`, `Case=Gen\|POS=PRON\|Person=2\|PronType=Prs`, `POS=X` |
84
+ | **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|mv-n`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|comp\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|met-s`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|postnom\|comp\|met-s`, `ADJ\|prenom\|basis\|met-e\|bijz`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|prenom\|sup\|zonder`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|dim\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|dat\|evmo`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|meta`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|mv-n\|dim`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|mv-n`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|dat\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|dat\|prenom\|met-e\|evmo`, `VNW\|aanw\|det\|gen\|prenom\|met-e\|rest3`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|det\|stan\|vrij\|zonder`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|gen\|vol\|3\|ev\|prenom\|met-e\|rest3`, `VNW\|bez\|det\|stan\|nadr\|2v\|mv\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3p\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|excl\|pron\|stan\|vol\|3\|getal`, `VNW\|onbep\|adv-pron\|gen\|red\|3\|getal`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|gen\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|sup`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|comp`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|gen\|vol\|3p\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|gen\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|nomin\|nadr\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|2\|getal`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|2v\|ev`, `VNW\|pers\|pron\|nomin\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|2v\|ev`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|nadr\|2v\|mv`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|nadr\|1\|ev`, `VNW\|pr\|pron\|obl\|nadr\|2v\|getal`, `VNW\|pr\|pron\|obl\|nadr\|2\|getal`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|pr\|pron\|obl\|vol\|2\|getal`, `VNW\|recip\|pron\|gen\|vol\|persoon\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|vb\|det\|stan\|prenom\|met-e\|rest`, `VNW\|vb\|det\|stan\|prenom\|zonder\|evon`, `VNW\|vb\|pron\|gen\|vol\|3m\|ev`, `VNW\|vb\|pron\|gen\|vol\|3p\|mv`, `VNW\|vb\|pron\|gen\|vol\|3v\|ev`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|prenom\|met-e`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
85
  | **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
86
  | **`senter`** | `I`, `S` |
87
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
 
92
 
93
  | Type | Score |
94
  | --- | --- |
 
 
 
 
 
 
 
 
 
95
  | `TOKEN_ACC` | 99.97 |
96
+ | `TOKEN_P` | 99.74 |
97
+ | `TOKEN_R` | 99.76 |
98
+ | `TOKEN_F` | 99.75 |
99
+ | `POS_ACC` | 96.67 |
100
+ | `MORPH_ACC` | 96.49 |
101
+ | `MORPH_MICRO_P` | 97.44 |
102
+ | `MORPH_MICRO_R` | 95.59 |
103
+ | `MORPH_MICRO_F` | 96.50 |
104
+ | `TAG_ACC` | 95.43 |
105
+ | `SENTS_P` | 86.63 |
106
+ | `SENTS_R` | 88.81 |
107
+ | `SENTS_F` | 87.71 |
108
+ | `DEP_UAS` | 87.02 |
109
+ | `DEP_LAS` | 82.61 |
110
+ | `LEMMA_ACC` | 81.59 |
111
+ | `ENTS_P` | 77.72 |
112
+ | `ENTS_R` | 75.52 |
113
+ | `ENTS_F` | 76.60 |
accuracy.json CHANGED
@@ -1,184 +1,251 @@
1
  {
2
- "tag_acc": 0.9478092081,
3
- "dep_uas": 0.8686371933,
4
- "dep_las": 0.8239797212,
5
- "ents_p": 0.7858657244,
6
- "ents_r": 0.7690179806,
7
- "ents_f": 0.7773505767,
8
- "sents_p": 0.8604008293,
9
- "sents_r": 0.8931133429,
10
- "sents_f": 0.8764519535,
11
- "speed": 3873.3371755236,
12
- "dep_las_per_type": {
13
- "nmod:poss": {
14
- "p": 0.9411764706,
15
- "r": 0.9343065693,
16
- "f": 0.9377289377
17
  },
18
- "nsubj": {
19
- "p": 0.8522135417,
20
- "r": 0.8606180145,
21
- "f": 0.8563951587
22
  },
23
- "aux": {
24
- "p": 0.908496732,
25
- "r": 0.9144736842,
26
- "f": 0.9114754098
27
  },
28
- "advmod": {
29
- "p": 0.787028922,
30
- "r": 0.7904929577,
31
- "f": 0.7887571366
32
  },
33
- "root": {
34
- "p": 0.8652384243,
35
- "r": 0.8981348637,
36
- "f": 0.8813797958
 
 
 
 
 
37
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38
  "det": {
39
- "p": 0.9409547739,
40
- "r": 0.9714656291,
41
- "f": 0.9559668156
42
  },
43
- "amod": {
44
- "p": 0.8759825328,
45
- "r": 0.8987455197,
46
- "f": 0.8872180451
 
 
 
 
 
 
 
 
 
 
47
  },
48
  "obl": {
49
- "p": 0.7619689818,
50
- "r": 0.7702794819,
51
- "f": 0.7661016949
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
52
  },
53
  "mark": {
54
- "p": 0.8832116788,
55
- "r": 0.8816029144,
56
- "f": 0.8824065634
57
  },
58
- "ccomp": {
59
- "p": 0.6826923077,
60
- "r": 0.6635514019,
61
- "f": 0.672985782
62
  },
63
- "case": {
64
- "p": 0.9366197183,
65
- "r": 0.9580508475,
66
- "f": 0.9472140762
67
  },
68
- "appos": {
69
- "p": 0.6807228916,
70
- "r": 0.6848484848,
71
- "f": 0.6827794562
72
  },
73
- "obj": {
74
- "p": 0.7758887172,
75
- "r": 0.7652439024,
76
- "f": 0.7705295472
77
  },
78
- "compound:prt": {
79
- "p": 0.7745098039,
80
- "r": 0.7281105991,
81
- "f": 0.7505938242
82
  },
83
- "xcomp": {
84
- "p": 0.6526315789,
85
- "r": 0.6838235294,
86
- "f": 0.6678635548
 
 
 
 
 
87
  },
88
  "flat": {
89
- "p": 0.8306818182,
90
- "r": 0.7945652174,
91
- "f": 0.8122222222
92
  },
93
- "expl:pv": {
94
- "p": 0.7333333333,
95
- "r": 0.75,
96
- "f": 0.7415730337
97
  },
98
- "acl": {
99
- "p": 0.4698795181,
100
- "r": 0.4020618557,
101
- "f": 0.4333333333
102
  },
103
- "advcl": {
104
- "p": 0.5402843602,
105
- "r": 0.5135135135,
106
- "f": 0.5265588915
107
  },
108
  "nummod": {
109
- "p": 0.8121019108,
110
- "r": 0.85,
111
- "f": 0.8306188925
112
  },
113
- "nmod": {
114
- "p": 0.7067108534,
115
- "r": 0.7456293706,
116
- "f": 0.7256486601
117
  },
118
- "cc": {
119
- "p": 0.8632958801,
120
- "r": 0.8747628083,
121
- "f": 0.8689915174
122
  },
123
- "conj": {
124
- "p": 0.6805555556,
125
- "r": 0.6666666667,
126
- "f": 0.6735395189
127
  },
128
  "nsubj:pass": {
129
- "p": 0.821656051,
130
- "r": 0.8113207547,
131
- "f": 0.8164556962
132
  },
133
  "aux:pass": {
134
- "p": 0.9175824176,
135
- "r": 0.9277777778,
136
- "f": 0.9226519337
137
  },
138
- "cop": {
139
- "p": 0.7821428571,
140
- "r": 0.8051470588,
141
- "f": 0.7934782609
142
  },
143
- "acl:relcl": {
144
- "p": 0.6927710843,
145
- "r": 0.7232704403,
146
- "f": 0.7076923077
147
  },
148
  "parataxis": {
149
- "p": 0.3502304147,
150
- "r": 0.2773722628,
151
- "f": 0.3095723014
152
- },
153
- "obl:agent": {
154
- "p": 0.8888888889,
155
- "r": 0.8275862069,
156
- "f": 0.8571428571
157
- },
158
- "expl": {
159
- "p": 0.4814814815,
160
- "r": 0.619047619,
161
- "f": 0.5416666667
162
  },
163
- "fixed": {
164
- "p": 0.7659574468,
165
- "r": 0.4337349398,
166
- "f": 0.5538461538
167
  },
168
  "iobj": {
169
- "p": 0.6315789474,
170
- "r": 0.3636363636,
171
- "f": 0.4615384615
 
 
 
 
 
172
  },
173
  "dep": {
174
  "p": 0.0,
175
  "r": 0.0,
176
  "f": 0.0
177
  },
178
- "csubj": {
179
- "p": 0.5625,
180
- "r": 0.45,
181
- "f": 0.5
182
  },
183
  "orphan": {
184
  "p": 0.0,
@@ -186,91 +253,95 @@
186
  "f": 0.0
187
  }
188
  },
 
 
 
 
189
  "ents_per_type": {
190
  "DATE": {
191
- "p": 0.9375,
192
  "r": 0.9253246753,
193
- "f": 0.931372549
194
  },
195
  "NORP": {
196
- "p": 0.7676767677,
197
- "r": 0.9156626506,
198
- "f": 0.8351648352
199
  },
200
  "ORG": {
201
- "p": 0.7557251908,
202
- "r": 0.5857988166,
203
- "f": 0.66
204
  },
205
  "CARDINAL": {
206
- "p": 0.858974359,
207
- "r": 0.9571428571,
208
- "f": 0.9054054054
209
  },
210
  "GPE": {
211
- "p": 0.7762557078,
212
- "r": 0.9340659341,
213
- "f": 0.8478802993
 
 
 
 
 
214
  },
215
  "PERCENT": {
216
- "p": 0.7142857143,
217
  "r": 0.8333333333,
218
- "f": 0.7692307692
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  },
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  "PERSON": {
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  },
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  "LAW": {
226
  "p": 1.0,
227
- "r": 1.0,
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- "f": 1.0
 
 
 
 
 
 
 
 
 
 
229
  },
230
  "ORDINAL": {
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- "f": 0.96
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  },
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  "LOC": {
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  "FAC": {
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- "p": 0.2352941176,
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- },
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- "EVENT": {
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  "PRODUCT": {
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- },
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  "MONEY": {
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274
  },
275
  "TIME": {
276
  "p": 1.0,
@@ -278,75 +349,5 @@
278
  "f": 1.0
279
  }
280
  },
281
- "token_acc": 0.9997165842,
282
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283
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284
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285
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286
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289
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290
- },
291
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295
- },
296
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- },
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- },
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313
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314
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331
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336
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348
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349
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350
- }
351
- }
352
  }
 
1
  {
2
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3
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16
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28
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31
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33
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40
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41
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42
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62
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63
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64
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66
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67
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68
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69
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70
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71
+ }
72
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73
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74
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75
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76
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77
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78
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79
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80
  "det": {
81
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82
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83
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84
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85
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95
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96
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97
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98
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99
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100
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101
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102
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103
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104
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105
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107
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108
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109
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110
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113
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114
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115
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116
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117
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118
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119
  },
120
  "mark": {
121
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122
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123
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124
  },
125
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126
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127
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128
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129
  },
130
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131
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132
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133
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134
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135
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136
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137
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138
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139
  },
140
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141
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142
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143
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144
  },
145
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146
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147
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148
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149
  },
150
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151
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152
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153
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154
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155
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156
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157
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158
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159
  },
160
  "flat": {
161
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162
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163
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164
  },
165
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166
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167
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168
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169
  },
170
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171
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172
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173
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174
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175
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176
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177
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178
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179
  },
180
  "nummod": {
181
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182
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183
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184
  },
185
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186
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187
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188
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189
  },
190
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191
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192
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193
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194
  },
195
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196
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197
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198
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199
  },
200
  "nsubj:pass": {
201
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202
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203
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204
  },
205
  "aux:pass": {
206
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207
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208
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209
  },
210
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211
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212
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213
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214
  },
215
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216
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217
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218
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219
  },
220
  "parataxis": {
221
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222
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223
+ "f": 0.3220973783
 
 
 
 
 
 
 
 
 
 
224
  },
225
+ "expl:pv": {
226
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227
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228
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229
  },
230
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231
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232
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233
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234
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235
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236
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237
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238
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239
  },
240
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241
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242
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243
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  },
245
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246
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247
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248
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249
  },
250
  "orphan": {
251
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253
  "f": 0.0
254
  }
255
  },
256
+ "lemma_acc": 0.8159277755,
257
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258
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259
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260
  "ents_per_type": {
261
  "DATE": {
262
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263
  "r": 0.9253246753,
264
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265
  },
266
  "NORP": {
267
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268
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269
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270
  },
271
  "ORG": {
272
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273
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274
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275
  },
276
  "CARDINAL": {
277
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278
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279
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280
  },
281
  "GPE": {
282
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283
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284
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285
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286
+ "QUANTITY": {
287
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288
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289
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290
  },
291
  "PERCENT": {
292
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293
  "r": 0.8333333333,
294
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295
  },
296
  "PERSON": {
297
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298
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299
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300
  },
301
  "LAW": {
302
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303
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304
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305
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306
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307
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308
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309
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310
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311
+ "WORK_OF_ART": {
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313
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314
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315
  },
316
  "ORDINAL": {
317
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318
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319
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320
  },
321
  "LANGUAGE": {
322
+ "p": 0.75,
323
+ "r": 0.8181818182,
324
+ "f": 0.7826086957
 
 
 
 
 
325
  },
326
  "LOC": {
327
+ "p": 0.5333333333,
328
+ "r": 0.2352941176,
329
+ "f": 0.3265306122
330
  },
331
  "FAC": {
332
+ "p": 0.1,
333
+ "r": 0.2142857143,
334
+ "f": 0.1363636364
 
 
 
 
 
335
  },
336
  "PRODUCT": {
337
  "p": 0.0,
338
  "r": 0.0,
339
  "f": 0.0
340
  },
 
 
 
 
 
341
  "MONEY": {
342
+ "p": 0.0,
343
+ "r": 0.0,
344
+ "f": 0.0
345
  },
346
  "TIME": {
347
  "p": 1.0,
 
349
  "f": 1.0
350
  }
351
  },
352
+ "speed": 3053.5292904657
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
353
  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -1,10 +1,8 @@
1
  [paths]
2
- train = "corpus/nl-dep-news/train.spacy"
3
- dev = "corpus/nl-dep-news/dev.spacy"
4
- vectors = "corpus/nl_vectors"
5
- raw = null
6
  init_tok2vec = null
7
- vocab_data = null
8
 
9
  [system]
10
  gpu_allocator = null
@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
24
 
25
  [components.attribute_ruler]
26
  factory = "attribute_ruler"
 
27
  validate = false
28
 
29
  [components.lemmatizer]
@@ -31,9 +30,13 @@ factory = "lemmatizer"
31
  mode = "rule"
32
  model = null
33
  overwrite = false
 
34
 
35
  [components.morphologizer]
36
  factory = "morphologizer"
 
 
 
37
 
38
  [components.morphologizer.model]
39
  @architectures = "spacy.Tagger.v1"
@@ -48,6 +51,7 @@ upstream = "tok2vec"
48
  factory = "ner"
49
  incorrect_spans_key = null
50
  moves = null
 
51
  update_with_oracle_cut_size = 100
52
 
53
  [components.ner.model]
@@ -65,8 +69,8 @@ nO = null
65
  [components.ner.model.tok2vec.embed]
66
  @architectures = "spacy.MultiHashEmbed.v2"
67
  width = 96
68
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
69
- rows = [5000,2500,2500,2500]
70
  include_static_vectors = true
71
 
72
  [components.ner.model.tok2vec.encode]
@@ -81,6 +85,7 @@ factory = "parser"
81
  learn_tokens = false
82
  min_action_freq = 30
83
  moves = null
 
84
  update_with_oracle_cut_size = 100
85
 
86
  [components.parser.model]
@@ -99,6 +104,8 @@ upstream = "tok2vec"
99
 
100
  [components.senter]
101
  factory = "senter"
 
 
102
 
103
  [components.senter.model]
104
  @architectures = "spacy.Tagger.v1"
@@ -110,8 +117,8 @@ nO = null
110
  [components.senter.model.tok2vec.embed]
111
  @architectures = "spacy.MultiHashEmbed.v2"
112
  width = 16
113
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
114
- rows = [1000,500,500,500]
115
  include_static_vectors = true
116
 
117
  [components.senter.model.tok2vec.encode]
@@ -123,6 +130,8 @@ maxout_pieces = 2
123
 
124
  [components.tagger]
125
  factory = "tagger"
 
 
126
 
127
  [components.tagger.model]
128
  @architectures = "spacy.Tagger.v1"
@@ -142,8 +151,8 @@ factory = "tok2vec"
142
  [components.tok2vec.model.embed]
143
  @architectures = "spacy.MultiHashEmbed.v2"
144
  width = ${components.tok2vec.model.encode:width}
145
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
146
- rows = [5000,2500,2500,2500]
147
  include_static_vectors = true
148
 
149
  [components.tok2vec.model.encode]
@@ -157,22 +166,19 @@ maxout_pieces = 3
157
 
158
  [corpora.dev]
159
  @readers = "spacy.Corpus.v1"
160
- limit = 0
161
- max_length = 0
162
- path = ${paths:dev}
163
  gold_preproc = false
 
 
164
  augmenter = null
165
 
166
  [corpora.train]
167
  @readers = "spacy.Corpus.v1"
168
- path = ${paths:train}
169
- max_length = 5000
170
  gold_preproc = false
 
171
  limit = 0
172
-
173
- [corpora.train.augmenter]
174
- @augmenters = "spacy.lower_case.v1"
175
- level = 0.1
176
 
177
  [training]
178
  train_corpus = "corpora.train"
@@ -203,9 +209,8 @@ compound = 1.001
203
  t = 0.0
204
 
205
  [training.logger]
206
- @loggers = "spacy.WandbLogger.v1"
207
- project_name = "spacy-v3.0.0a2"
208
- remove_config_values = []
209
 
210
  [training.optimizer]
211
  @optimizers = "Adam.v1"
@@ -219,26 +224,27 @@ eps = 0.00000001
219
  learn_rate = 0.001
220
 
221
  [training.score_weights]
222
- pos_acc = 0.05
223
  morph_acc = 0.05
224
  morph_per_feat = null
225
- tag_acc = 0.05
226
  dep_uas = 0.0
227
  dep_las = 0.16
228
  dep_las_per_type = null
229
  sents_p = null
230
  sents_r = null
231
  sents_f = 0.02
232
- lemma_acc = 0.33
233
- ents_f = 0.33
234
  ents_p = 0.0
235
  ents_r = 0.0
236
  ents_per_type = null
 
237
 
238
  [pretraining]
239
 
240
  [initialize]
241
- vocab_data = ${paths.vocab_data}
242
  vectors = ${paths.vectors}
243
  init_tok2vec = ${paths.init_tok2vec}
244
  before_init = null
 
1
  [paths]
2
+ train = null
3
+ dev = null
4
+ vectors = null
 
5
  init_tok2vec = null
 
6
 
7
  [system]
8
  gpu_allocator = null
 
22
 
23
  [components.attribute_ruler]
24
  factory = "attribute_ruler"
25
+ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
26
  validate = false
27
 
28
  [components.lemmatizer]
 
30
  mode = "rule"
31
  model = null
32
  overwrite = false
33
+ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
34
 
35
  [components.morphologizer]
36
  factory = "morphologizer"
37
+ extend = false
38
+ overwrite = true
39
+ scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
40
 
41
  [components.morphologizer.model]
42
  @architectures = "spacy.Tagger.v1"
 
51
  factory = "ner"
52
  incorrect_spans_key = null
53
  moves = null
54
+ scorer = {"@scorers":"spacy.ner_scorer.v1"}
55
  update_with_oracle_cut_size = 100
56
 
57
  [components.ner.model]
 
69
  [components.ner.model.tok2vec.embed]
70
  @architectures = "spacy.MultiHashEmbed.v2"
71
  width = 96
72
+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
73
+ rows = [5000,2500,2500,2500,100]
74
  include_static_vectors = true
75
 
76
  [components.ner.model.tok2vec.encode]
 
85
  learn_tokens = false
86
  min_action_freq = 30
87
  moves = null
88
+ scorer = {"@scorers":"spacy.parser_scorer.v1"}
89
  update_with_oracle_cut_size = 100
90
 
91
  [components.parser.model]
 
104
 
105
  [components.senter]
106
  factory = "senter"
107
+ overwrite = false
108
+ scorer = {"@scorers":"spacy.senter_scorer.v1"}
109
 
110
  [components.senter.model]
111
  @architectures = "spacy.Tagger.v1"
 
117
  [components.senter.model.tok2vec.embed]
118
  @architectures = "spacy.MultiHashEmbed.v2"
119
  width = 16
120
+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
121
+ rows = [1000,500,500,500,50]
122
  include_static_vectors = true
123
 
124
  [components.senter.model.tok2vec.encode]
 
130
 
131
  [components.tagger]
132
  factory = "tagger"
133
+ overwrite = false
134
+ scorer = {"@scorers":"spacy.tagger_scorer.v1"}
135
 
136
  [components.tagger.model]
137
  @architectures = "spacy.Tagger.v1"
 
151
  [components.tok2vec.model.embed]
152
  @architectures = "spacy.MultiHashEmbed.v2"
153
  width = ${components.tok2vec.model.encode:width}
154
+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
155
+ rows = [5000,2500,2500,2500,100]
156
  include_static_vectors = true
157
 
158
  [components.tok2vec.model.encode]
 
166
 
167
  [corpora.dev]
168
  @readers = "spacy.Corpus.v1"
169
+ path = ${paths.dev}
 
 
170
  gold_preproc = false
171
+ max_length = 0
172
+ limit = 0
173
  augmenter = null
174
 
175
  [corpora.train]
176
  @readers = "spacy.Corpus.v1"
177
+ path = ${paths.train}
 
178
  gold_preproc = false
179
+ max_length = 0
180
  limit = 0
181
+ augmenter = null
 
 
 
182
 
183
  [training]
184
  train_corpus = "corpora.train"
 
209
  t = 0.0
210
 
211
  [training.logger]
212
+ @loggers = "spacy.ConsoleLogger.v1"
213
+ progress_bar = false
 
214
 
215
  [training.optimizer]
216
  @optimizers = "Adam.v1"
 
224
  learn_rate = 0.001
225
 
226
  [training.score_weights]
227
+ pos_acc = 0.06
228
  morph_acc = 0.05
229
  morph_per_feat = null
230
+ tag_acc = 0.06
231
  dep_uas = 0.0
232
  dep_las = 0.16
233
  dep_las_per_type = null
234
  sents_p = null
235
  sents_r = null
236
  sents_f = 0.02
237
+ lemma_acc = 0.5
238
+ ents_f = 0.16
239
  ents_p = 0.0
240
  ents_r = 0.0
241
  ents_per_type = null
242
+ speed = 0.0
243
 
244
  [pretraining]
245
 
246
  [initialize]
247
+ vocab_data = null
248
  vectors = ${paths.vectors}
249
  init_tok2vec = ${paths.init_tok2vec}
250
  before_init = null
meta.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
  "lang":"nl",
3
  "name":"core_news_lg",
4
- "version":"3.1.0",
5
  "description":"Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"CC BY-SA 4.0",
10
- "spacy_version":">=3.1.0,<3.2.0",
11
- "spacy_git_version":"caba63b74",
12
  "vectors":{
13
  "width":300,
14
  "vectors":500000,
@@ -68,7 +68,6 @@
68
  "Abbr=Yes|POS=X",
69
  "Gender=Com,Neut|Number=Sing|POS=PROPN",
70
  "Degree=Sup|POS=ADJ",
71
- "Foreign=Yes|POS=X",
72
  "POS=ADJ",
73
  "Number=Sing|POS=PROPN",
74
  "POS=PRON|PronType=Dem",
@@ -78,13 +77,14 @@
78
  "POS=PRON|Person=2|Poss=Yes|PronType=Prs",
79
  "Case=Dat|POS=PRON|PronType=Dem",
80
  "Case=Nom|POS=PRON|Person=2|PronType=Prs",
81
- "POS=X",
82
  "POS=INTJ",
 
83
  "Case=Gen|POS=PRON|Person=3|Poss=Yes|PronType=Prs",
84
  "POS=PRON|PronType=Int",
85
- "Case=Acc|POS=PRON|Person=2|PronType=Prs",
86
  "POS=PRON|Person=2|PronType=Prs",
87
- "Case=Gen|POS=PRON|Person=2|PronType=Prs"
 
 
88
  ],
89
  "tagger":[
90
  "ADJ|nom|basis|met-e|mv-n",
@@ -95,6 +95,7 @@
95
  "ADJ|nom|comp|met-e|mv-n",
96
  "ADJ|nom|comp|met-e|zonder-n|stan",
97
  "ADJ|nom|sup|met-e|mv-n",
 
98
  "ADJ|nom|sup|met-e|zonder-n|stan",
99
  "ADJ|nom|sup|zonder|zonder-n",
100
  "ADJ|postnom|basis|met-s",
@@ -106,6 +107,7 @@
106
  "ADJ|prenom|comp|met-e|stan",
107
  "ADJ|prenom|comp|zonder",
108
  "ADJ|prenom|sup|met-e|stan",
 
109
  "ADJ|vrij|basis|zonder",
110
  "ADJ|vrij|comp|zonder",
111
  "ADJ|vrij|dim|zonder",
@@ -175,6 +177,7 @@
175
  "VNW|bez|det|stan|red|1|ev|prenom|zonder|agr",
176
  "VNW|bez|det|stan|red|2v|ev|prenom|zonder|agr",
177
  "VNW|bez|det|stan|red|3|ev|prenom|zonder|agr",
 
178
  "VNW|bez|det|stan|vol|1|ev|prenom|zonder|agr",
179
  "VNW|bez|det|stan|vol|1|mv|prenom|met-e|rest",
180
  "VNW|bez|det|stan|vol|1|mv|prenom|zonder|evon",
@@ -187,10 +190,12 @@
187
  "VNW|bez|det|stan|vol|3v|ev|prenom|met-e|rest",
188
  "VNW|bez|det|stan|vol|3|ev|prenom|zonder|agr",
189
  "VNW|bez|det|stan|vol|3|mv|prenom|zonder|agr",
 
190
  "VNW|onbep|adv-pron|gen|red|3|getal",
191
  "VNW|onbep|adv-pron|obl|vol|3o|getal",
192
  "VNW|onbep|det|stan|nom|met-e|mv-n",
193
  "VNW|onbep|det|stan|nom|met-e|zonder-n",
 
194
  "VNW|onbep|det|stan|prenom|met-e|agr",
195
  "VNW|onbep|det|stan|prenom|met-e|evz",
196
  "VNW|onbep|det|stan|prenom|met-e|mv",
@@ -377,186 +382,253 @@
377
  "senter"
378
  ],
379
  "performance":{
380
- "tag_acc":0.9478092081,
381
- "dep_uas":0.8686371933,
382
- "dep_las":0.8239797212,
383
- "ents_p":0.7858657244,
384
- "ents_r":0.7690179806,
385
- "ents_f":0.7773505767,
386
- "sents_p":0.8604008293,
387
- "sents_r":0.8931133429,
388
- "sents_f":0.8764519535,
389
- "speed":3873.3371755236,
390
- "dep_las_per_type":{
391
- "nmod:poss":{
392
- "p":0.9411764706,
393
- "r":0.9343065693,
394
- "f":0.9377289377
395
  },
396
- "nsubj":{
397
- "p":0.8522135417,
398
- "r":0.8606180145,
399
- "f":0.8563951587
400
  },
401
- "aux":{
402
- "p":0.908496732,
403
- "r":0.9144736842,
404
- "f":0.9114754098
405
  },
406
- "advmod":{
407
- "p":0.787028922,
408
- "r":0.7904929577,
409
- "f":0.7887571366
410
  },
411
- "root":{
412
- "p":0.8652384243,
413
- "r":0.8981348637,
414
- "f":0.8813797958
415
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
416
  "det":{
417
- "p":0.9409547739,
418
- "r":0.9714656291,
419
- "f":0.9559668156
420
  },
421
- "amod":{
422
- "p":0.8759825328,
423
- "r":0.8987455197,
424
- "f":0.8872180451
 
 
 
 
 
 
 
 
 
 
425
  },
426
  "obl":{
427
- "p":0.7619689818,
428
- "r":0.7702794819,
429
- "f":0.7661016949
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
430
  },
431
  "mark":{
432
- "p":0.8832116788,
433
- "r":0.8816029144,
434
- "f":0.8824065634
435
  },
436
- "ccomp":{
437
- "p":0.6826923077,
438
- "r":0.6635514019,
439
- "f":0.672985782
440
  },
441
- "case":{
442
- "p":0.9366197183,
443
- "r":0.9580508475,
444
- "f":0.9472140762
445
  },
446
- "appos":{
447
- "p":0.6807228916,
448
- "r":0.6848484848,
449
- "f":0.6827794562
450
  },
451
- "obj":{
452
- "p":0.7758887172,
453
- "r":0.7652439024,
454
- "f":0.7705295472
455
  },
456
- "compound:prt":{
457
- "p":0.7745098039,
458
- "r":0.7281105991,
459
- "f":0.7505938242
460
  },
461
- "xcomp":{
462
- "p":0.6526315789,
463
- "r":0.6838235294,
464
- "f":0.6678635548
 
 
 
 
 
465
  },
466
  "flat":{
467
- "p":0.8306818182,
468
- "r":0.7945652174,
469
- "f":0.8122222222
470
  },
471
- "expl:pv":{
472
- "p":0.7333333333,
473
- "r":0.75,
474
- "f":0.7415730337
475
  },
476
- "acl":{
477
- "p":0.4698795181,
478
- "r":0.4020618557,
479
- "f":0.4333333333
480
  },
481
- "advcl":{
482
- "p":0.5402843602,
483
- "r":0.5135135135,
484
- "f":0.5265588915
485
  },
486
  "nummod":{
487
- "p":0.8121019108,
488
- "r":0.85,
489
- "f":0.8306188925
490
  },
491
- "nmod":{
492
- "p":0.7067108534,
493
- "r":0.7456293706,
494
- "f":0.7256486601
495
  },
496
- "cc":{
497
- "p":0.8632958801,
498
- "r":0.8747628083,
499
- "f":0.8689915174
500
  },
501
- "conj":{
502
- "p":0.6805555556,
503
- "r":0.6666666667,
504
- "f":0.6735395189
505
  },
506
  "nsubj:pass":{
507
- "p":0.821656051,
508
- "r":0.8113207547,
509
- "f":0.8164556962
510
  },
511
  "aux:pass":{
512
- "p":0.9175824176,
513
- "r":0.9277777778,
514
- "f":0.9226519337
515
  },
516
- "cop":{
517
- "p":0.7821428571,
518
- "r":0.8051470588,
519
- "f":0.7934782609
520
  },
521
- "acl:relcl":{
522
- "p":0.6927710843,
523
- "r":0.7232704403,
524
- "f":0.7076923077
525
  },
526
  "parataxis":{
527
- "p":0.3502304147,
528
- "r":0.2773722628,
529
- "f":0.3095723014
530
- },
531
- "obl:agent":{
532
- "p":0.8888888889,
533
- "r":0.8275862069,
534
- "f":0.8571428571
535
- },
536
- "expl":{
537
- "p":0.4814814815,
538
- "r":0.619047619,
539
- "f":0.5416666667
540
  },
541
- "fixed":{
542
- "p":0.7659574468,
543
- "r":0.4337349398,
544
- "f":0.5538461538
545
  },
546
  "iobj":{
547
- "p":0.6315789474,
548
- "r":0.3636363636,
549
- "f":0.4615384615
 
 
 
 
 
550
  },
551
  "dep":{
552
  "p":0.0,
553
  "r":0.0,
554
  "f":0.0
555
  },
556
- "csubj":{
557
- "p":0.5625,
558
- "r":0.45,
559
- "f":0.5
560
  },
561
  "orphan":{
562
  "p":0.0,
@@ -564,91 +636,95 @@
564
  "f":0.0
565
  }
566
  },
 
 
 
 
567
  "ents_per_type":{
568
  "DATE":{
569
- "p":0.9375,
570
  "r":0.9253246753,
571
- "f":0.931372549
572
  },
573
  "NORP":{
574
- "p":0.7676767677,
575
- "r":0.9156626506,
576
- "f":0.8351648352
577
  },
578
  "ORG":{
579
- "p":0.7557251908,
580
- "r":0.5857988166,
581
- "f":0.66
582
  },
583
  "CARDINAL":{
584
- "p":0.858974359,
585
- "r":0.9571428571,
586
- "f":0.9054054054
587
  },
588
  "GPE":{
589
- "p":0.7762557078,
590
- "r":0.9340659341,
591
- "f":0.8478802993
 
 
 
 
 
592
  },
593
  "PERCENT":{
594
- "p":0.7142857143,
595
  "r":0.8333333333,
596
- "f":0.7692307692
597
  },
598
  "PERSON":{
599
- "p":0.7680722892,
600
- "r":0.8252427184,
601
- "f":0.7956318253
602
  },
603
  "LAW":{
604
  "p":1.0,
605
- "r":1.0,
606
- "f":1.0
 
 
 
 
 
 
 
 
 
 
607
  },
608
  "ORDINAL":{
609
- "p":0.9411764706,
610
- "r":0.9696969697,
611
- "f":0.9552238806
612
  },
613
  "LANGUAGE":{
614
- "p":0.7,
615
- "r":0.6363636364,
616
- "f":0.6666666667
617
- },
618
- "QUANTITY":{
619
- "p":0.9230769231,
620
- "r":1.0,
621
- "f":0.96
622
  },
623
  "LOC":{
624
- "p":0.5384615385,
625
- "r":0.2058823529,
626
- "f":0.2978723404
627
  },
628
  "FAC":{
629
- "p":0.2352941176,
630
- "r":0.2857142857,
631
- "f":0.2580645161
632
- },
633
- "EVENT":{
634
- "p":0.4137931034,
635
- "r":0.5217391304,
636
- "f":0.4615384615
637
  },
638
  "PRODUCT":{
639
  "p":0.0,
640
  "r":0.0,
641
  "f":0.0
642
  },
643
- "WORK_OF_ART":{
644
- "p":0.6280991736,
645
- "r":0.4222222222,
646
- "f":0.5049833887
647
- },
648
  "MONEY":{
649
- "p":0.5,
650
- "r":0.3333333333,
651
- "f":0.4
652
  },
653
  "TIME":{
654
  "p":1.0,
@@ -656,81 +732,11 @@
656
  "f":1.0
657
  }
658
  },
659
- "token_acc":0.9997165842,
660
- "pos_acc":0.9631196702,
661
- "morph_acc":0.9594503217,
662
- "lemma_acc":0.8539590466,
663
- "morph_per_feat":{
664
- "Person":{
665
- "p":0.990300679,
666
- "r":0.9751671442,
667
- "f":0.9826756497
668
- },
669
- "Poss":{
670
- "p":0.9809160305,
671
- "r":0.9771863118,
672
- "f":0.979047619
673
- },
674
- "PronType":{
675
- "p":0.9906621392,
676
- "r":0.969269103,
677
- "f":0.9798488665
678
- },
679
- "Gender":{
680
- "p":0.9235186635,
681
- "r":0.8959230185,
682
- "f":0.9095115681
683
- },
684
- "Number":{
685
- "p":0.9812984643,
686
- "r":0.9632835821,
687
- "f":0.972207577
688
- },
689
- "Tense":{
690
- "p":0.9761772853,
691
- "r":0.9681318681,
692
- "f":0.972137931
693
- },
694
- "VerbForm":{
695
- "p":0.964752907,
696
- "r":0.955379633,
697
- "f":0.9600433918
698
- },
699
- "Degree":{
700
- "p":0.9569343066,
701
- "r":0.9350927247,
702
- "f":0.9458874459
703
- },
704
- "Definite":{
705
- "p":0.9973556633,
706
- "r":0.9956005279,
707
- "f":0.9964773228
708
- },
709
- "Case":{
710
- "p":0.998003992,
711
- "r":0.9960159363,
712
- "f":0.9970089731
713
- },
714
- "Reflex":{
715
- "p":1.0,
716
- "r":1.0,
717
- "f":1.0
718
- },
719
- "Abbr":{
720
- "p":0.8333333333,
721
- "r":0.8333333333,
722
- "f":0.8333333333
723
- },
724
- "Foreign":{
725
- "p":0.7368421053,
726
- "r":0.4307692308,
727
- "f":0.5436893204
728
- }
729
- }
730
  },
731
  "sources":[
732
  {
733
- "name":"UD Dutch LassySmall v2.5",
734
  "url":"https://github.com/UniversalDependencies/UD_Dutch-LassySmall",
735
  "license":"CC BY-SA 4.0",
736
  "author":"Bouma, Gosse; van Noord, Gertjan"
@@ -742,13 +748,13 @@
742
  "author":"NLP Town"
743
  },
744
  {
745
- "name":"UD Dutch LassySmall v2.5",
746
  "url":"https://github.com/UniversalDependencies/UD_Dutch-LassySmall",
747
  "license":"CC BY-SA 4.0",
748
  "author":"Bouma, Gosse; van Noord, Gertjan"
749
  },
750
  {
751
- "name":"UD Dutch Alpino v2.5",
752
  "url":"https://github.com/UniversalDependencies/UD_Dutch-Alpino",
753
  "license":"CC BY-SA 4.0",
754
  "author":"Zeman, Daniel; \u017dabokrtsk\u00fd, Zden\u011bk; Bouma, Gosse; van Noord, Gertjan"
 
1
  {
2
  "lang":"nl",
3
  "name":"core_news_lg",
4
+ "version":"3.2.0",
5
  "description":"Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"CC BY-SA 4.0",
10
+ "spacy_version":">=3.2.0,<3.3.0",
11
+ "spacy_git_version":"bb26550e2",
12
  "vectors":{
13
  "width":300,
14
  "vectors":500000,
 
68
  "Abbr=Yes|POS=X",
69
  "Gender=Com,Neut|Number=Sing|POS=PROPN",
70
  "Degree=Sup|POS=ADJ",
 
71
  "POS=ADJ",
72
  "Number=Sing|POS=PROPN",
73
  "POS=PRON|PronType=Dem",
 
77
  "POS=PRON|Person=2|Poss=Yes|PronType=Prs",
78
  "Case=Dat|POS=PRON|PronType=Dem",
79
  "Case=Nom|POS=PRON|Person=2|PronType=Prs",
 
80
  "POS=INTJ",
81
+ "Case=Acc|POS=PRON|Person=2|PronType=Prs",
82
  "Case=Gen|POS=PRON|Person=3|Poss=Yes|PronType=Prs",
83
  "POS=PRON|PronType=Int",
 
84
  "POS=PRON|Person=2|PronType=Prs",
85
+ "POS=PRON|Person=3",
86
+ "Case=Gen|POS=PRON|Person=2|PronType=Prs",
87
+ "POS=X"
88
  ],
89
  "tagger":[
90
  "ADJ|nom|basis|met-e|mv-n",
 
95
  "ADJ|nom|comp|met-e|mv-n",
96
  "ADJ|nom|comp|met-e|zonder-n|stan",
97
  "ADJ|nom|sup|met-e|mv-n",
98
+ "ADJ|nom|sup|met-e|zonder-n|bijz",
99
  "ADJ|nom|sup|met-e|zonder-n|stan",
100
  "ADJ|nom|sup|zonder|zonder-n",
101
  "ADJ|postnom|basis|met-s",
 
107
  "ADJ|prenom|comp|met-e|stan",
108
  "ADJ|prenom|comp|zonder",
109
  "ADJ|prenom|sup|met-e|stan",
110
+ "ADJ|prenom|sup|zonder",
111
  "ADJ|vrij|basis|zonder",
112
  "ADJ|vrij|comp|zonder",
113
  "ADJ|vrij|dim|zonder",
 
177
  "VNW|bez|det|stan|red|1|ev|prenom|zonder|agr",
178
  "VNW|bez|det|stan|red|2v|ev|prenom|zonder|agr",
179
  "VNW|bez|det|stan|red|3|ev|prenom|zonder|agr",
180
+ "VNW|bez|det|stan|vol|1|ev|prenom|met-e|rest",
181
  "VNW|bez|det|stan|vol|1|ev|prenom|zonder|agr",
182
  "VNW|bez|det|stan|vol|1|mv|prenom|met-e|rest",
183
  "VNW|bez|det|stan|vol|1|mv|prenom|zonder|evon",
 
190
  "VNW|bez|det|stan|vol|3v|ev|prenom|met-e|rest",
191
  "VNW|bez|det|stan|vol|3|ev|prenom|zonder|agr",
192
  "VNW|bez|det|stan|vol|3|mv|prenom|zonder|agr",
193
+ "VNW|excl|pron|stan|vol|3|getal",
194
  "VNW|onbep|adv-pron|gen|red|3|getal",
195
  "VNW|onbep|adv-pron|obl|vol|3o|getal",
196
  "VNW|onbep|det|stan|nom|met-e|mv-n",
197
  "VNW|onbep|det|stan|nom|met-e|zonder-n",
198
+ "VNW|onbep|det|stan|nom|zonder|zonder-n",
199
  "VNW|onbep|det|stan|prenom|met-e|agr",
200
  "VNW|onbep|det|stan|prenom|met-e|evz",
201
  "VNW|onbep|det|stan|prenom|met-e|mv",
 
382
  "senter"
383
  ],
384
  "performance":{
385
+ "token_acc":0.9997165842,
386
+ "token_p":0.9974281853,
387
+ "token_r":0.9975586363,
388
+ "token_f":0.9974934066,
389
+ "pos_acc":0.9667175573,
390
+ "morph_acc":0.9649471044,
391
+ "morph_micro_p":0.9743803954,
392
+ "morph_micro_r":0.9558803442,
393
+ "morph_micro_f":0.9650417155,
394
+ "morph_per_feat":{
395
+ "Person":{
396
+ "p":0.9921875,
397
+ "r":0.9713193117,
398
+ "f":0.9816425121
 
399
  },
400
+ "Poss":{
401
+ "p":0.9885496183,
402
+ "r":0.9923371648,
403
+ "f":0.9904397706
404
  },
405
+ "PronType":{
406
+ "p":0.9914529915,
407
+ "r":0.9642560266,
408
+ "f":0.9776654024
409
  },
410
+ "Gender":{
411
+ "p":0.9408033827,
412
+ "r":0.9056219791,
413
+ "f":0.9228775113
414
  },
415
+ "Number":{
416
+ "p":0.9837895703,
417
+ "r":0.9628798084,
418
+ "f":0.9732223903
419
  },
420
+ "Tense":{
421
+ "p":0.9777901166,
422
+ "r":0.9681143485,
423
+ "f":0.9729281768
424
+ },
425
+ "VerbForm":{
426
+ "p":0.9640653358,
427
+ "r":0.9557394746,
428
+ "f":0.9598843513
429
+ },
430
+ "Degree":{
431
+ "p":0.9628550619,
432
+ "r":0.9497126437,
433
+ "f":0.956238698
434
+ },
435
+ "Definite":{
436
+ "p":0.9955869373,
437
+ "r":0.9929577465,
438
+ "f":0.9942706038
439
+ },
440
+ "Case":{
441
+ "p":0.998003992,
442
+ "r":0.9960159363,
443
+ "f":0.9970089731
444
+ },
445
+ "Reflex":{
446
+ "p":1.0,
447
+ "r":1.0,
448
+ "f":1.0
449
+ },
450
+ "Abbr":{
451
+ "p":1.0,
452
+ "r":0.6666666667,
453
+ "f":0.8
454
+ }
455
+ },
456
+ "tag_acc":0.9543293348,
457
+ "sents_p":0.866340098,
458
+ "sents_r":0.8880918221,
459
+ "sents_f":0.8770811194,
460
+ "dep_uas":0.8701736595,
461
+ "dep_las":0.8260704236,
462
+ "dep_las_per_type":{
463
  "det":{
464
+ "p":0.8869644485,
465
+ "r":0.959566075,
466
+ "f":0.9218379915
467
  },
468
+ "nsubj":{
469
+ "p":0.7900466563,
470
+ "r":0.8246753247,
471
+ "f":0.8069896743
472
+ },
473
+ "root":{
474
+ "p":0.7489932886,
475
+ "r":0.8328358209,
476
+ "f":0.7886925795
477
+ },
478
+ "case":{
479
+ "p":0.8836805556,
480
+ "r":0.9382488479,
481
+ "f":0.910147519
482
  },
483
  "obl":{
484
+ "p":0.7313195548,
485
+ "r":0.7290015848,
486
+ "f":0.7301587302
487
+ },
488
+ "nmod":{
489
+ "p":0.596651446,
490
+ "r":0.6841186736,
491
+ "f":0.637398374
492
+ },
493
+ "advmod":{
494
+ "p":0.75,
495
+ "r":0.7696969697,
496
+ "f":0.7597208375
497
+ },
498
+ "obj":{
499
+ "p":0.7902621723,
500
+ "r":0.778597786,
501
+ "f":0.7843866171
502
  },
503
  "mark":{
504
+ "p":0.8445378151,
505
+ "r":0.8305785124,
506
+ "f":0.8375
507
  },
508
+ "advcl":{
509
+ "p":0.5137614679,
510
+ "r":0.4628099174,
511
+ "f":0.4869565217
512
  },
513
+ "amod":{
514
+ "p":0.7834710744,
515
+ "r":0.8649635036,
516
+ "f":0.8222029488
517
  },
518
+ "acl:relcl":{
519
+ "p":0.6352941176,
520
+ "r":0.6585365854,
521
+ "f":0.6467065868
522
  },
523
+ "cop":{
524
+ "p":0.7862068966,
525
+ "r":0.6263736264,
526
+ "f":0.6972477064
527
  },
528
+ "cc":{
529
+ "p":0.8,
530
+ "r":0.8384879725,
531
+ "f":0.8187919463
532
  },
533
+ "conj":{
534
+ "p":0.5825242718,
535
+ "r":0.5309734513,
536
+ "f":0.5555555556
537
+ },
538
+ "fixed":{
539
+ "p":0.6690647482,
540
+ "r":0.2520325203,
541
+ "f":0.3661417323
542
  },
543
  "flat":{
544
+ "p":0.7995991984,
545
+ "r":0.6797274276,
546
+ "f":0.7348066298
547
  },
548
+ "csubj":{
549
+ "p":0.5,
550
+ "r":0.1666666667,
551
+ "f":0.25
552
  },
553
+ "aux":{
554
+ "p":0.7714285714,
555
+ "r":0.786407767,
556
+ "f":0.7788461538
557
  },
558
+ "compound:prt":{
559
+ "p":0.776119403,
560
+ "r":0.6753246753,
561
+ "f":0.7222222222
562
  },
563
  "nummod":{
564
+ "p":0.59375,
565
+ "r":0.6506849315,
566
+ "f":0.6209150327
567
  },
568
+ "acl":{
569
+ "p":0.5098039216,
570
+ "r":0.4406779661,
571
+ "f":0.4727272727
572
  },
573
+ "expl":{
574
+ "p":0.4,
575
+ "r":0.3333333333,
576
+ "f":0.3636363636
577
  },
578
+ "appos":{
579
+ "p":0.5625,
580
+ "r":0.4682080925,
581
+ "f":0.5110410095
582
  },
583
  "nsubj:pass":{
584
+ "p":0.8023255814,
585
+ "r":0.8023255814,
586
+ "f":0.8023255814
587
  },
588
  "aux:pass":{
589
+ "p":0.8823529412,
590
+ "r":0.9183673469,
591
+ "f":0.9
592
  },
593
+ "ccomp":{
594
+ "p":0.6666666667,
595
+ "r":0.5294117647,
596
+ "f":0.5901639344
597
  },
598
+ "xcomp":{
599
+ "p":0.4285714286,
600
+ "r":0.698630137,
601
+ "f":0.53125
602
  },
603
  "parataxis":{
604
+ "p":0.3644067797,
605
+ "r":0.288590604,
606
+ "f":0.3220973783
 
 
 
 
 
 
 
 
 
 
607
  },
608
+ "expl:pv":{
609
+ "p":0.7894736842,
610
+ "r":0.7894736842,
611
+ "f":0.7894736842
612
  },
613
  "iobj":{
614
+ "p":0.4444444444,
615
+ "r":0.4,
616
+ "f":0.4210526316
617
+ },
618
+ "nmod:poss":{
619
+ "p":0.8616352201,
620
+ "r":0.8954248366,
621
+ "f":0.8782051282
622
  },
623
  "dep":{
624
  "p":0.0,
625
  "r":0.0,
626
  "f":0.0
627
  },
628
+ "obl:agent":{
629
+ "p":0.8461538462,
630
+ "r":0.7857142857,
631
+ "f":0.8148148148
632
  },
633
  "orphan":{
634
  "p":0.0,
 
636
  "f":0.0
637
  }
638
  },
639
+ "lemma_acc":0.8159277755,
640
+ "ents_p":0.7772241993,
641
+ "ents_r":0.755186722,
642
+ "ents_f":0.7660470011,
643
  "ents_per_type":{
644
  "DATE":{
645
+ "p":0.931372549,
646
  "r":0.9253246753,
647
+ "f":0.9283387622
648
  },
649
  "NORP":{
650
+ "p":0.8181818182,
651
+ "r":0.8674698795,
652
+ "f":0.8421052632
653
  },
654
  "ORG":{
655
+ "p":0.6959459459,
656
+ "r":0.6094674556,
657
+ "f":0.6498422713
658
  },
659
  "CARDINAL":{
660
+ "p":0.8607594937,
661
+ "r":0.9714285714,
662
+ "f":0.9127516779
663
  },
664
  "GPE":{
665
+ "p":0.785046729,
666
+ "r":0.9230769231,
667
+ "f":0.8484848485
668
+ },
669
+ "QUANTITY":{
670
+ "p":0.8571428571,
671
+ "r":1.0,
672
+ "f":0.9230769231
673
  },
674
  "PERCENT":{
675
+ "p":1.0,
676
  "r":0.8333333333,
677
+ "f":0.9090909091
678
  },
679
  "PERSON":{
680
+ "p":0.7788778878,
681
+ "r":0.7637540453,
682
+ "f":0.7712418301
683
  },
684
  "LAW":{
685
  "p":1.0,
686
+ "r":0.3333333333,
687
+ "f":0.5
688
+ },
689
+ "EVENT":{
690
+ "p":0.4761904762,
691
+ "r":0.4347826087,
692
+ "f":0.4545454545
693
+ },
694
+ "WORK_OF_ART":{
695
+ "p":0.5882352941,
696
+ "r":0.4444444444,
697
+ "f":0.5063291139
698
  },
699
  "ORDINAL":{
700
+ "p":0.96875,
701
+ "r":0.9393939394,
702
+ "f":0.9538461538
703
  },
704
  "LANGUAGE":{
705
+ "p":0.75,
706
+ "r":0.8181818182,
707
+ "f":0.7826086957
 
 
 
 
 
708
  },
709
  "LOC":{
710
+ "p":0.5333333333,
711
+ "r":0.2352941176,
712
+ "f":0.3265306122
713
  },
714
  "FAC":{
715
+ "p":0.1,
716
+ "r":0.2142857143,
717
+ "f":0.1363636364
 
 
 
 
 
718
  },
719
  "PRODUCT":{
720
  "p":0.0,
721
  "r":0.0,
722
  "f":0.0
723
  },
 
 
 
 
 
724
  "MONEY":{
725
+ "p":0.0,
726
+ "r":0.0,
727
+ "f":0.0
728
  },
729
  "TIME":{
730
  "p":1.0,
 
732
  "f":1.0
733
  }
734
  },
735
+ "speed":3053.5292904657
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
736
  },
737
  "sources":[
738
  {
739
+ "name":"UD Dutch LassySmall v2.8",
740
  "url":"https://github.com/UniversalDependencies/UD_Dutch-LassySmall",
741
  "license":"CC BY-SA 4.0",
742
  "author":"Bouma, Gosse; van Noord, Gertjan"
 
748
  "author":"NLP Town"
749
  },
750
  {
751
+ "name":"UD Dutch LassySmall v2.8",
752
  "url":"https://github.com/UniversalDependencies/UD_Dutch-LassySmall",
753
  "license":"CC BY-SA 4.0",
754
  "author":"Bouma, Gosse; van Noord, Gertjan"
755
  },
756
  {
757
+ "name":"UD Dutch Alpino v2.8",
758
  "url":"https://github.com/UniversalDependencies/UD_Dutch-Alpino",
759
  "license":"CC BY-SA 4.0",
760
  "author":"Zeman, Daniel; \u017dabokrtsk\u00fd, Zden\u011bk; Bouma, Gosse; van Noord, Gertjan"
morphologizer/cfg CHANGED
@@ -1,4 +1,5 @@
1
  {
 
2
  "labels_morph":{
3
  "POS=PRON|Person=3|PronType=Dem":"Person=3|PronType=Dem",
4
  "Number=Sing|POS=AUX|Tense=Pres|VerbForm=Fin":"Number=Sing|Tense=Pres|VerbForm=Fin",
@@ -48,7 +49,6 @@
48
  "Abbr=Yes|POS=X":"Abbr=Yes",
49
  "Gender=Com,Neut|Number=Sing|POS=PROPN":"Gender=Com,Neut|Number=Sing",
50
  "Degree=Sup|POS=ADJ":"Degree=Sup",
51
- "Foreign=Yes|POS=X":"Foreign=Yes",
52
  "POS=ADJ":"",
53
  "Number=Sing|POS=PROPN":"Number=Sing",
54
  "POS=PRON|PronType=Dem":"PronType=Dem",
@@ -58,13 +58,14 @@
58
  "POS=PRON|Person=2|Poss=Yes|PronType=Prs":"Person=2|Poss=Yes|PronType=Prs",
59
  "Case=Dat|POS=PRON|PronType=Dem":"Case=Dat|PronType=Dem",
60
  "Case=Nom|POS=PRON|Person=2|PronType=Prs":"Case=Nom|Person=2|PronType=Prs",
61
- "POS=X":"",
62
  "POS=INTJ":"",
 
63
  "Case=Gen|POS=PRON|Person=3|Poss=Yes|PronType=Prs":"Case=Gen|Person=3|Poss=Yes|PronType=Prs",
64
  "POS=PRON|PronType=Int":"PronType=Int",
65
- "Case=Acc|POS=PRON|Person=2|PronType=Prs":"Case=Acc|Person=2|PronType=Prs",
66
  "POS=PRON|Person=2|PronType=Prs":"Person=2|PronType=Prs",
67
- "Case=Gen|POS=PRON|Person=2|PronType=Prs":"Case=Gen|Person=2|PronType=Prs"
 
 
68
  },
69
  "labels_pos":{
70
  "POS=PRON|Person=3|PronType=Dem":95,
@@ -115,7 +116,6 @@
115
  "Abbr=Yes|POS=X":101,
116
  "Gender=Com,Neut|Number=Sing|POS=PROPN":96,
117
  "Degree=Sup|POS=ADJ":84,
118
- "Foreign=Yes|POS=X":101,
119
  "POS=ADJ":84,
120
  "Number=Sing|POS=PROPN":96,
121
  "POS=PRON|PronType=Dem":95,
@@ -125,12 +125,14 @@
125
  "POS=PRON|Person=2|Poss=Yes|PronType=Prs":95,
126
  "Case=Dat|POS=PRON|PronType=Dem":95,
127
  "Case=Nom|POS=PRON|Person=2|PronType=Prs":95,
128
- "POS=X":101,
129
  "POS=INTJ":91,
 
130
  "Case=Gen|POS=PRON|Person=3|Poss=Yes|PronType=Prs":95,
131
  "POS=PRON|PronType=Int":95,
132
- "Case=Acc|POS=PRON|Person=2|PronType=Prs":95,
133
  "POS=PRON|Person=2|PronType=Prs":95,
134
- "Case=Gen|POS=PRON|Person=2|PronType=Prs":95
135
- }
 
 
 
136
  }
 
1
  {
2
+ "extend":false,
3
  "labels_morph":{
4
  "POS=PRON|Person=3|PronType=Dem":"Person=3|PronType=Dem",
5
  "Number=Sing|POS=AUX|Tense=Pres|VerbForm=Fin":"Number=Sing|Tense=Pres|VerbForm=Fin",
 
49
  "Abbr=Yes|POS=X":"Abbr=Yes",
50
  "Gender=Com,Neut|Number=Sing|POS=PROPN":"Gender=Com,Neut|Number=Sing",
51
  "Degree=Sup|POS=ADJ":"Degree=Sup",
 
52
  "POS=ADJ":"",
53
  "Number=Sing|POS=PROPN":"Number=Sing",
54
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