Update spaCy pipeline

LICENSES_SOURCES

@@ -1758,34 +1758,3 @@ Creative Commons may be contacted at creativecommons.org.
 
 
 
-# spaCy lookups data
-
-* Author: Explosion
-* URL: https://github.com/explosion/spacy-lookups-data
-* License: MIT
-
-```
-Copyright 2019-2021 ExplosionAI GmbH
-
-Permission is hereby granted, free of charge, to any person obtaining a copy of
-this software and associated documentation files (the "Software"), to deal in
-the Software without restriction, including without limitation the rights to
-use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
-of the Software, and to permit persons to whom the Software is furnished to do
-so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-```
-
-
-
-

README.md

@@ -14,61 +14,76 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7446964155
+      value: 0.7276011561
     - name: NER Recall
       type: recall
-      value: 0.704011065
+      value: 0.6964038728
     - name: NER F Score
       type: f_score
-      value: 0.7237824387
+      value: 0.7116607774
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9401116636
   - task:
       name: POS
       type: token-classification
     metrics:
-    - name: POS Accuracy
+    - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9392161567
+      value: 0.9587577152
   - task:
-      name: SENTER
+      name: MORPH
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.8339006127
-    - name: SENTER Recall
-      type: recall
-      value: 0.8787661406
-    - name: SENTER F Score
-      type: f_score
-      value: 0.8557457213
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9509870215
   - task:
-      name: UNLABELED_DEPENDENCIES
+      name: LEMMA
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
+    - name: Lemma Accuracy
       type: accuracy
-      value: 0.8546007605
+      value: 0.9391804959
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.8541951838
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.8546007605
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.8044409521
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.8678982224
 ---
 ### Details: https://spacy.io/models/nl#nl_core_news_sm
 
-Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
+Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `nl_core_news_sm` |
-| **Version** | `3.2.0` |
-| **spaCy** | `>=3.2.0,<3.3.0` |
-| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
-| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
+| **Version** | `3.3.0` |
+| **spaCy** | `>=3.3.0.dev0,<3.4.0` |
+| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
+| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
-| **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) |
+| **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) |
 | **License** | `CC BY-SA 4.0` |
 | **Author** | [Explosion](https://explosion.ai) |
 
@@ -76,14 +91,13 @@ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, pa
 
 <details>
 
-<summary>View label scheme (323 labels for 5 components)</summary>
+<summary>View label scheme (321 labels for 4 components)</summary>
 
 | Component | Labels |
 | --- | --- |
 | **`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` |
 | **`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` |
 | **`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` |
-| **`senter`** | `I`, `S` |
 | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
 
 </details>
@@ -92,22 +106,22 @@ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, pa
 
 | Type | Score |
 | --- | --- |
+| `TAG_ACC` | 94.01 |
+| `SENTS_P` | 84.41 |
+| `SENTS_R` | 89.31 |
+| `SENTS_F` | 86.79 |
+| `DEP_UAS` | 85.42 |
+| `DEP_LAS` | 80.44 |
+| `ENTS_P` | 72.76 |
+| `ENTS_R` | 69.64 |
+| `ENTS_F` | 71.17 |
 | `TOKEN_ACC` | 99.97 |
 | `TOKEN_P` | 99.74 |
 | `TOKEN_R` | 99.76 |
 | `TOKEN_F` | 99.75 |
-| `POS_ACC` | 95.81 |
-| `MORPH_ACC` | 94.99 |
-| `MORPH_MICRO_P` | 95.89 |
-| `MORPH_MICRO_R` | 93.84 |
-| `MORPH_MICRO_F` | 94.85 |
-| `TAG_ACC` | 93.92 |
-| `SENTS_P` | 83.39 |
-| `SENTS_R` | 87.88 |
-| `SENTS_F` | 85.57 |
-| `DEP_UAS` | 85.46 |
-| `DEP_LAS` | 80.63 |
-| `LEMMA_ACC` | 81.33 |
-| `ENTS_P` | 74.47 |
-| `ENTS_R` | 70.40 |
-| `ENTS_F` | 72.38 |
+| `POS_ACC` | 95.88 |
+| `MORPH_ACC` | 95.10 |
+| `MORPH_MICRO_P` | 95.93 |
+| `MORPH_MICRO_R` | 94.00 |
+| `MORPH_MICRO_F` | 94.95 |
+| `LEMMA_ACC` | 93.92 |

accuracy.json

@@ -1,353 +1,353 @@
 {
-  "token_acc": 0.9997165842,
-  "token_p": 0.9974281853,
-  "token_r": 0.9975586363,
-  "token_f": 0.9974934066,
-  "pos_acc": 0.9581243184,
-  "morph_acc": 0.9498527648,
-  "morph_micro_p": 0.9588741568,
-  "morph_micro_r": 0.9384419251,
-  "morph_micro_f": 0.9485480234,
-  "morph_per_feat": {
-    "Person": {
-      "p": 0.991202346,
-      "r": 0.9694072658,
-      "f": 0.9801836636
-    },
-    "Poss": {
-      "p": 0.9923076923,
-      "r": 0.9885057471,
-      "f": 0.990403071
-    },
-    "PronType": {
-      "p": 0.9914310197,
-      "r": 0.961762261,
-      "f": 0.976371308
+  "tag_acc": 0.9401116636,
+  "sents_p": 0.8440677966,
+  "sents_r": 0.8931133429,
+  "sents_f": 0.8678982224,
+  "dep_uas": 0.8541951838,
+  "dep_las": 0.8044409521,
+  "dep_las_per_type": {
+    "nmod:poss": {
+      "p": 0.9375,
+      "r": 0.9306569343,
+      "f": 0.9340659341
     },
-    "Gender": {
-      "p": 0.9029177719,
-      "r": 0.8659374205,
-      "f": 0.8840410336
+    "nsubj": {
+      "p": 0.8337730871,
+      "r": 0.8310322156,
+      "f": 0.8324003951
     },
-    "Number": {
-      "p": 0.9755422243,
-      "r": 0.949259093,
-      "f": 0.9622212107
+    "aux": {
+      "p": 0.8697068404,
+      "r": 0.8782894737,
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     },
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-      "f": 0.9554386936
+    "advmod": {
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     },
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+    "root": {
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     },
-    "Degree": {
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+    "det": {
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     },
-    "Definite": {
-      "p": 0.995584989,
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+    "amod": {
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     },
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     },
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-  "dep_las_per_type": {
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+    "ccomp": {
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     },
-    "nsubj": {
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     },
-    "root": {
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+    "appos": {
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     },
-    "case": {
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+    "obj": {
+      "p": 0.7335329341,
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+      "f": 0.7407407407
     },
-    "obl": {
-      "p": 0.7081339713,
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+    "compound:prt": {
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     },
-    "nmod": {
-      "p": 0.6162420382,
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-      "f": 0.6444629475
+    "xcomp": {
+      "p": 0.6425855513,
+      "r": 0.6145454545,
+      "f": 0.6282527881
     },
-    "advmod": {
-      "p": 0.6918604651,
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+    "flat": {
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+      "f": 0.7781420765
     },
-    "obj": {
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+    "expl:pv": {
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     },
-    "mark": {
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+    "acl": {
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     },
     "advcl": {
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+      "p": 0.4902912621,
+      "r": 0.454954955,
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     },
-    "amod": {
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-    },
-    "acl:relcl": {
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-      "f": 0.6211180124
+    "nummod": {
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+      "r": 0.8466666667,
+      "f": 0.8206785137
     },
-    "cop": {
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-      "f": 0.6363636364
+    "nmod": {
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+      "f": 0.7132509587
     },
     "cc": {
-      "p": 0.798013245,
-      "r": 0.8281786942,
-      "f": 0.8128161889
+      "p": 0.8531073446,
+      "r": 0.8579545455,
+      "f": 0.8555240793
     },
     "conj": {
-      "p": 0.54784689,
-      "r": 0.5066371681,
-      "f": 0.5264367816
-    },
-    "fixed": {
-      "p": 0.7045454545,
-      "r": 0.2520325203,
-      "f": 0.371257485
+      "p": 0.5991792066,
+      "r": 0.5951086957,
+      "f": 0.5971370143
     },
-    "flat": {
-      "p": 0.7467889908,
-      "r": 0.6933560477,
-      "f": 0.7190812721
+    "nsubj:pass": {
+      "p": 0.7701863354,
+      "r": 0.7798742138,
+      "f": 0.775
     },
-    "csubj": {
-      "p": 0.75,
-      "r": 0.5,
-      "f": 0.6
+    "aux:pass": {
+      "p": 0.8681318681,
+      "r": 0.8777777778,
+      "f": 0.8729281768
     },
-    "aux": {
-      "p": 0.7647058824,
-      "r": 0.7572815534,
-      "f": 0.7609756098
+    "fixed": {
+      "p": 0.6833855799,
+      "r": 0.3942133816,
+      "f": 0.5
     },
-    "compound:prt": {
-      "p": 0.7727272727,
-      "r": 0.6623376623,
-      "f": 0.7132867133
+    "cop": {
+      "p": 0.7543252595,
+      "r": 0.7985347985,
+      "f": 0.7758007117
     },
-    "nummod": {
-      "p": 0.5641025641,
-      "r": 0.602739726,
-      "f": 0.582781457
+    "acl:relcl": {
+      "p": 0.6604938272,
+      "r": 0.6729559748,
+      "f": 0.6666666667
     },
-    "acl": {
-      "p": 0.4375,
-      "r": 0.3559322034,
-      "f": 0.3925233645
+    "parataxis": {
+      "p": 0.3317073171,
+      "r": 0.2463768116,
+      "f": 0.2827442827
     },
     "expl": {
-      "p": 0.4,
-      "r": 0.3333333333,
-      "f": 0.3636363636
-    },
-    "appos": {
-      "p": 0.6092715232,
-      "r": 0.5317919075,
-      "f": 0.5679012346
+      "p": 0.4166666667,
+      "r": 0.4761904762,
+      "f": 0.4444444444
     },
-    "dep": {
+    "orphan": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "nsubj:pass": {
-      "p": 0.7882352941,
-      "r": 0.7790697674,
-      "f": 0.783625731
-    },
-    "aux:pass": {
-      "p": 0.8252427184,
-      "r": 0.8673469388,
-      "f": 0.8457711443
-    },
-    "ccomp": {
-      "p": 0.5882352941,
-      "r": 0.5882352941,
-      "f": 0.5882352941
-    },
-    "xcomp": {
-      "p": 0.36,
-      "r": 0.6164383562,
-      "f": 0.4545454545
-    },
-    "parataxis": {
-      "p": 0.350877193,
-      "r": 0.2684563758,
-      "f": 0.3041825095
-    },
-    "expl:pv": {
-      "p": 0.8095238095,
-      "r": 0.8947368421,
-      "f": 0.85
-    },
     "iobj": {
-      "p": 0.3636363636,
-      "r": 0.4,
-      "f": 0.380952381
-    },
-    "nmod:poss": {
-      "p": 0.8940397351,
-      "r": 0.8823529412,
-      "f": 0.8881578947
+      "p": 0.6363636364,
+      "r": 0.4242424242,
+      "f": 0.5090909091
     },
     "obl:agent": {
-      "p": 0.6875,
-      "r": 0.7857142857,
-      "f": 0.7333333333
+      "p": 0.9259259259,
+      "r": 0.8620689655,
+      "f": 0.8928571429
     },
-    "orphan": {
+    "csubj": {
+      "p": 0.5333333333,
+      "r": 0.4,
+      "f": 0.4571428571
+    },
+    "dep": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     }
   },
-  "lemma_acc": 0.8133109449,
-  "ents_p": 0.7446964155,
-  "ents_r": 0.704011065,
-  "ents_f": 0.7237824387,
+  "ents_p": 0.7276011561,
+  "ents_r": 0.6964038728,
+  "ents_f": 0.7116607774,
   "ents_per_type": {
-    "DATE": {
-      "p": 0.9317406143,
-      "r": 0.8863636364,
-      "f": 0.9084858569
-    },
-    "NORP": {
-      "p": 0.693877551,
-      "r": 0.8192771084,
-      "f": 0.7513812155
-    },
     "ORG": {
-      "p": 0.762295082,
-      "r": 0.550295858,
-      "f": 0.6391752577
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "CARDINAL": {
-      "p": 0.858974359,
-      "r": 0.9571428571,
-      "f": 0.9054054054
+    "WORK_OF_ART": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
     "GPE": {
-      "p": 0.6722689076,
-      "r": 0.8791208791,
-      "f": 0.7619047619
-    },
-    "MONEY": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "PERCENT": {
-      "p": 0.6666666667,
-      "r": 1.0,
-      "f": 0.8
+    "DATE": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
     "PERSON": {
-      "p": 0.7281879195,
-      "r": 0.7022653722,
-      "f": 0.7149917628
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "WORK_OF_ART": {
-      "p": 0.6146788991,
-      "r": 0.3722222222,
-      "f": 0.4636678201
+    "NORP": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "LAW": {
-      "p": 1.0,
-      "r": 1.0,
-      "f": 1.0
+    "CARDINAL": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "PRODUCT": {
+    "EVENT": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
     "ORDINAL": {
-      "p": 0.90625,
-      "r": 0.8787878788,
-      "f": 0.8923076923
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
     "LANGUAGE": {
-      "p": 0.4375,
-      "r": 0.6363636364,
-      "f": 0.5185185185
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "FAC": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
     "QUANTITY": {
-      "p": 0.9166666667,
-      "r": 0.9166666667,
-      "f": 0.9166666667
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
     "LOC": {
-      "p": 0.6428571429,
-      "r": 0.2647058824,
-      "f": 0.375
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "FAC": {
-      "p": 0.0625,
-      "r": 0.0714285714,
-      "f": 0.0666666667
+    "LAW": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "EVENT": {
-      "p": 0.3157894737,
-      "r": 0.2608695652,
-      "f": 0.2857142857
+    "MONEY": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "PRODUCT": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
     "TIME": {
-      "p": 0.5,
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "PERCENT": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    }
+  },
+  "speed": 11232.0463947449,
+  "token_acc": 0.9997165842,
+  "token_p": 0.9974281853,
+  "token_r": 0.9975586363,
+  "token_f": 0.9974934066,
+  "pos_acc": 0.9587577152,
+  "morph_acc": 0.9509870215,
+  "morph_micro_p": 0.959250999,
+  "morph_micro_r": 0.9399899832,
+  "morph_micro_f": 0.949522824,
+  "morph_per_feat": {
+    "Person": {
+      "p": 0.9902152642,
+      "r": 0.9674952199,
+      "f": 0.9787234043
+    },
+    "Poss": {
+      "p": 0.9884615385,
+      "r": 0.9846743295,
+      "f": 0.9865642994
+    },
+    "PronType": {
+      "p": 0.9863130881,
+      "r": 0.9584372402,
+      "f": 0.9721753794
+    },
+    "Gender": {
+      "p": 0.9028329362,
+      "r": 0.8674637497,
+      "f": 0.8847950182
+    },
+    "Number": {
+      "p": 0.9755947813,
+      "r": 0.9513545876,
+      "f": 0.9633222189
+    },
+    "Tense": {
+      "p": 0.9628190899,
+      "r": 0.9538207806,
+      "f": 0.9582988125
+    },
+    "VerbForm": {
+      "p": 0.9459753445,
+      "r": 0.9388269162,
+      "f": 0.9423875745
+    },
+    "Degree": {
+      "p": 0.9341057205,
+      "r": 0.9267241379,
+      "f": 0.9304002885
+    },
+    "Definite": {
+      "p": 0.9942680776,
+      "r": 0.9925176056,
+      "f": 0.9933920705
+    },
+    "Case": {
+      "p": 0.998003992,
+      "r": 0.9960159363,
+      "f": 0.9970089731
+    },
+    "Reflex": {
+      "p": 0.9833333333,
       "r": 1.0,
+      "f": 0.9915966387
+    },
+    "Abbr": {
+      "p": 1.0,
+      "r": 0.5,
       "f": 0.6666666667
     }
   },
-  "speed": 3273.3086753398
+  "lemma_acc": 0.9391804959
 }

config.cfg

@@ -10,7 +10,7 @@ seed = 0
 
 [nlp]
 lang = "nl"
-pipeline = ["tok2vec","morphologizer","tagger","parser","senter","attribute_ruler","lemmatizer","ner"]
+pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","senter","attribute_ruler","ner"]
 disabled = ["senter"]
 before_creation = null
 after_creation = null
@@ -26,11 +26,22 @@ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
 validate = false
 
 [components.lemmatizer]
-factory = "lemmatizer"
-mode = "rule"
-model = null
+factory = "trainable_lemmatizer"
+backoff = "orth"
+min_tree_freq = 3
 overwrite = false
 scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
+top_k = 1
+
+[components.lemmatizer.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.lemmatizer.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode:width}
+upstream = "tok2vec"
 
 [components.morphologizer]
 factory = "morphologizer"
@@ -39,8 +50,9 @@ overwrite = true
 scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
 
 [components.morphologizer.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.morphologizer.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
@@ -70,7 +82,7 @@ nO = null
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,2500,2500,2500,100]
+rows = [5000,1000,2500,2500,50]
 include_static_vectors = false
 
 [components.ner.model.tok2vec.encode]
@@ -108,8 +120,9 @@ overwrite = false
 scorer = {"@scorers":"spacy.senter_scorer.v1"}
 
 [components.senter.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.senter.model.tok2vec]
 @architectures = "spacy.Tok2Vec.v2"
@@ -130,12 +143,14 @@ maxout_pieces = 2
 
 [components.tagger]
 factory = "tagger"
+neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}
 
 [components.tagger.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.tagger.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
@@ -152,7 +167,7 @@ factory = "tok2vec"
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.tok2vec.model.encode:width}
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,2500,2500,2500,100]
+rows = [5000,1000,2500,2500,50]
 include_static_vectors = false
 
 [components.tok2vec.model.encode]
@@ -189,7 +204,7 @@ dropout = 0.1
 accumulate_gradient = 1
 patience = 5000
 max_epochs = 0
-max_steps = 0
+max_steps = 100000
 eval_frequency = 1000
 frozen_components = []
 before_to_disk = null
@@ -224,18 +239,18 @@ eps = 0.00000001
 learn_rate = 0.001
 
 [training.score_weights]
-pos_acc = 0.06
-morph_acc = 0.05
+pos_acc = 0.1
+morph_acc = 0.09
 morph_per_feat = null
-tag_acc = 0.06
+tag_acc = 0.1
 dep_uas = 0.0
-dep_las = 0.16
+dep_las = 0.29
 dep_las_per_type = null
 sents_p = null
 sents_r = null
-sents_f = 0.02
-lemma_acc = 0.5
-ents_f = 0.16
+sents_f = 0.04
+lemma_acc = 0.1
+ents_f = 0.29
 ents_p = 0.0
 ents_r = 0.0
 ents_per_type = null
@@ -252,6 +267,13 @@ after_init = null
 
 [initialize.components]
 
+[initialize.components.lemmatizer]
+
+[initialize.components.lemmatizer.labels]
+@readers = "spacy.read_labels.v1"
+path = "corpus/labels/trainable_lemmatizer.json"
+require = false
+
 [initialize.components.morphologizer]
 
 [initialize.components.morphologizer.labels]

lemmatizer/cfg

@@ -0,0 +1,1198 @@
+{
+  "labels":[
+    1,
+    4,
+    5,
+    10,
+    12,
+    14,
+    18,
+    22,
+    26,
+    27,
+    30,
+    32,
+    34,
+    36,
+    39,
+    43,
+    45,
+    47,
+    51,
+    53,
+    55,
+    57,
+    58,
+    61,
+    63,
+    64,
+    66,
+    67,
+    69,
+    71,
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+  ]
+}

lemmatizer/{lookups/lookups.bin → model}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:509c45ce6556e5253e8d77bd3af683619f92723e4df1028bc1a17f9aec1a47ea
-size 6953602
+oid sha256:0415cb867448fa5c42acd2bd2adcad276a0e99fac156630467a09da745fa1760
+size 463714

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"nl",
   "name":"core_news_sm",
-  "version":"3.2.0",
-  "description":"Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
+  "version":"3.3.0",
+  "description":"Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"CC BY-SA 4.0",
-  "spacy_version":">=3.2.0,<3.3.0",
-  "spacy_git_version":"bb26550e2",
+  "spacy_version":">=3.3.0.dev0,<3.4.0",
+  "spacy_git_version":"849bef2de",
   "vectors":{
     "width":0,
     "vectors":0,
@@ -328,15 +328,8 @@
       "punct",
       "xcomp"
     ],
-    "senter":[
-      "I",
-      "S"
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       "url":"https://github.com/UniversalDependencies/UD_Dutch-Alpino",
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       "author":"Zeman, Daniel; \u017dabokrtsk\u00fd, Zden\u011bk; Bouma, Gosse; van Noord, Gertjan"
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tagger/cfg

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