Update spaCy pipeline

LICENSES_SOURCES

@@ -1758,37 +1758,6 @@ 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.
-```
-
-
-
-
 # Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
 
 * Author: Explosion

README.md

@@ -14,61 +14,76 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.775862069
+      value: 0.77532097
     - name: NER Recall
       type: recall
-      value: 0.7468879668
+      value: 0.7517289073
     - name: NER F Score
       type: f_score
-      value: 0.7610993658
+      value: 0.7633426966
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9481352236
   - task:
       name: POS
       type: token-classification
     metrics:
-    - name: POS Accuracy
+    - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9482224646
+      value: 0.9624427481
   - task:
-      name: SENTER
+      name: MORPH
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.8472032742
-    - name: SENTER Recall
-      type: recall
-      value: 0.8909612626
-    - name: SENTER F Score
-      type: f_score
-      value: 0.8685314685
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9582497164
   - task:
-      name: UNLABELED_DEPENDENCIES
+      name: LEMMA
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
+    - name: Lemma Accuracy
       type: accuracy
-      value: 0.8688732323
+      value: 0.9396166343
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.8684343946
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.8688732323
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.8217698801
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.8673433672
 ---
 ### Details: https://spacy.io/models/nl#nl_core_news_md
 
-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_md` |
-| **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** | 500000 keys, 20000 unique vectors (300 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)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (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)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
 | **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` | 94.82 |
-| `SENTS_P` | 84.72 |
-| `SENTS_R` | 89.10 |
-| `SENTS_F` | 86.85 |
-| `DEP_UAS` | 86.89 |
-| `DEP_LAS` | 82.12 |
-| `ENTS_P` | 77.59 |
-| `ENTS_R` | 74.69 |
-| `ENTS_F` | 76.11 |
+| `TAG_ACC` | 94.81 |
+| `SENTS_P` | 84.69 |
+| `SENTS_R` | 88.88 |
+| `SENTS_F` | 86.73 |
+| `DEP_UAS` | 86.84 |
+| `DEP_LAS` | 82.18 |
+| `ENTS_P` | 77.53 |
+| `ENTS_R` | 75.17 |
+| `ENTS_F` | 76.33 |
 | `TOKEN_ACC` | 99.97 |
 | `TOKEN_P` | 99.74 |
 | `TOKEN_R` | 99.76 |
 | `TOKEN_F` | 99.75 |
-| `POS_ACC` | 96.47 |
-| `MORPH_ACC` | 96.00 |
-| `MORPH_MICRO_P` | 96.98 |
-| `MORPH_MICRO_R` | 95.13 |
-| `MORPH_MICRO_F` | 96.04 |
-| `LEMMA_ACC` | 81.51 |
+| `POS_ACC` | 96.24 |
+| `MORPH_ACC` | 95.82 |
+| `MORPH_MICRO_P` | 96.81 |
+| `MORPH_MICRO_R` | 94.77 |
+| `MORPH_MICRO_F` | 95.78 |
+| `LEMMA_ACC` | 93.96 |

accuracy.json

@@ -1,175 +1,175 @@
 {
-  "tag_acc": 0.9482224646,
-  "sents_p": 0.8472032742,
-  "sents_r": 0.8909612626,
-  "sents_f": 0.8685314685,
-  "dep_uas": 0.8688732323,
-  "dep_las": 0.8211769476,
+  "tag_acc": 0.9481352236,
+  "sents_p": 0.8468899522,
+  "sents_r": 0.8888091822,
+  "sents_f": 0.8673433672,
+  "dep_uas": 0.8684343946,
+  "dep_las": 0.8217698801,
   "dep_las_per_type": {
     "nmod:poss": {
-      "p": 0.9522058824,
+      "p": 0.9487179487,
       "r": 0.9452554745,
-      "f": 0.9487179487
+      "f": 0.9469835466
     },
     "nsubj": {
-      "p": 0.8497072219,
-      "r": 0.8586456279,
-      "f": 0.8541530412
+      "p": 0.8507265522,
+      "r": 0.8468113083,
+      "f": 0.8487644152
     },
     "aux": {
-      "p": 0.9013157895,
+      "p": 0.8838709677,
       "r": 0.9013157895,
-      "f": 0.9013157895
+      "f": 0.8925081433
     },
     "advmod": {
-      "p": 0.7848537005,
-      "r": 0.8142857143,
-      "f": 0.7992988606
+      "p": 0.7780656304,
+      "r": 0.8044642857,
+      "f": 0.7910447761
     },
     "root": {
-      "p": 0.8676671214,
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     },
     "det": {
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     "obl": {
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     "mark": {
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     "ccomp": {
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     "case": {
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     "appos": {
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+      "f": 0.6790697674
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     "obj": {
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+      "p": 0.7549167927,
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+      "f": 0.7583586626
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     "compound:prt": {
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-      "f": 0.7277227723
+      "p": 0.7889447236,
+      "r": 0.7370892019,
+      "f": 0.7621359223
     },
     "xcomp": {
-      "p": 0.6373239437,
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-      "f": 0.6475849732
+      "p": 0.68359375,
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     "flat": {
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+      "p": 0.8029115342,
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+      "f": 0.7810457516
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     "expl:pv": {
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+      "p": 0.8333333333,
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     "acl": {
-      "p": 0.5176470588,
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-      "f": 0.4808743169
+      "p": 0.5443037975,
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     "advcl": {
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     "nummod": {
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+      "p": 0.8205128205,
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     "nmod": {
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     "cc": {
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     "conj": {
-      "p": 0.6610407876,
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+      "p": 0.6833810888,
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     "nsubj:pass": {
-      "p": 0.8,
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-      "f": 0.8148148148
+      "p": 0.8197674419,
+      "r": 0.8867924528,
+      "f": 0.8519637462
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     "aux:pass": {
-      "p": 0.8911917098,
-      "r": 0.9555555556,
-      "f": 0.9222520107
+      "p": 0.9116022099,
+      "r": 0.9166666667,
+      "f": 0.9141274238
     },
     "cop": {
-      "p": 0.7810218978,
-      "r": 0.7838827839,
-      "f": 0.7824497258
+      "p": 0.7820069204,
+      "r": 0.8278388278,
+      "f": 0.8042704626
+    },
+    "iobj": {
+      "p": 0.7058823529,
+      "r": 0.3636363636,
+      "f": 0.48
     },
     "acl:relcl": {
-      "p": 0.6647398844,
-      "r": 0.7232704403,
-      "f": 0.6927710843
+      "p": 0.7168674699,
+      "r": 0.748427673,
+      "f": 0.7323076923
     },
     "parataxis": {
-      "p": 0.3712871287,
-      "r": 0.2717391304,
-      "f": 0.3138075314
+      "p": 0.3944954128,
+      "r": 0.3115942029,
+      "f": 0.3481781377
     },
     "fixed": {
-      "p": 0.6714285714,
-      "r": 0.424954792,
-      "f": 0.5204872647
-    },
-    "iobj": {
-      "p": 0.5789473684,
-      "r": 0.3333333333,
-      "f": 0.4230769231
+      "p": 0.6704545455,
+      "r": 0.4267631103,
+      "f": 0.5215469613
     },
     "obl:agent": {
-      "p": 0.8666666667,
-      "r": 0.8965517241,
-      "f": 0.8813559322
+      "p": 0.9565217391,
+      "r": 0.7586206897,
+      "f": 0.8461538462
     },
     "expl": {
-      "p": 0.6153846154,
-      "r": 0.380952381,
-      "f": 0.4705882353
+      "p": 0.619047619,
+      "r": 0.619047619,
+      "f": 0.619047619
     },
     "csubj": {
-      "p": 0.5555555556,
-      "r": 0.25,
-      "f": 0.3448275862
+      "p": 0.6666666667,
+      "r": 0.4,
+      "f": 0.5
     },
     "dep": {
       "p": 0.0,
@@ -182,15 +182,10 @@
       "f": 0.0
     }
   },
-  "ents_p": 0.775862069,
-  "ents_r": 0.7468879668,
-  "ents_f": 0.7610993658,
+  "ents_p": 0.77532097,
+  "ents_r": 0.7517289073,
+  "ents_f": 0.7633426966,
   "ents_per_type": {
-    "ORG": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
-    },
     "PERSON": {
       "p": 0.0,
       "r": 0.0,
@@ -206,42 +201,42 @@
       "r": 0.0,
       "f": 0.0
     },
-    "GPE": {
+    "ORG": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "WORK_OF_ART": {
+    "DATE": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "NORP": {
+    "EVENT": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "PRODUCT": {
+    "NORP": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "EVENT": {
+    "GPE": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "FAC": {
+    "ORDINAL": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "DATE": {
+    "LOC": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "ORDINAL": {
+    "FAC": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
@@ -256,7 +251,7 @@
       "r": 0.0,
       "f": 0.0
     },
-    "LOC": {
+    "WORK_OF_ART": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
@@ -266,77 +261,82 @@
       "r": 0.0,
       "f": 0.0
     },
-    "PERCENT": {
+    "LAW": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "LAW": {
+    "PRODUCT": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "PERCENT": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     }
   },
-  "speed": 2996.2278607909,
+  "speed": 10425.5234641703,
   "token_acc": 0.9997165842,
   "token_p": 0.9974281853,
   "token_r": 0.9975586363,
   "token_f": 0.9974934066,
-  "pos_acc": 0.9646673937,
-  "morph_acc": 0.9599947649,
-  "morph_micro_p": 0.9697827701,
-  "morph_micro_r": 0.951281701,
-  "morph_micro_f": 0.9604431471,
+  "pos_acc": 0.9624427481,
+  "morph_acc": 0.9582497164,
+  "morph_micro_p": 0.9681380529,
+  "morph_micro_r": 0.9476847425,
+  "morph_micro_f": 0.957802218,
   "morph_per_feat": {
     "Person": {
-      "p": 0.9931640625,
-      "r": 0.9722753346,
-      "f": 0.9826086957
+      "p": 0.9922103213,
+      "r": 0.9741873805,
+      "f": 0.9831162566
     },
     "Poss": {
-      "p": 0.9923664122,
-      "r": 0.9961685824,
-      "f": 0.9942638623
+      "p": 0.9849056604,
+      "r": 1.0,
+      "f": 0.9923954373
     },
     "PronType": {
-      "p": 0.9931914894,
-      "r": 0.970074813,
-      "f": 0.9814970563
+      "p": 0.9906462585,
+      "r": 0.9684123026,
+      "f": 0.9794031106
     },
     "Gender": {
-      "p": 0.9223479863,
-      "r": 0.8913762401,
-      "f": 0.9065976714
+      "p": 0.9252584151,
+      "r": 0.8880691936,
+      "f": 0.9062824507
     },
     "Number": {
-      "p": 0.9819737244,
-      "r": 0.9621314175,
-      "f": 0.9719513117
+      "p": 0.9812423124,
+      "r": 0.9552462206,
+      "f": 0.9680697763
     },
     "Tense": {
-      "p": 0.9787353106,
-      "r": 0.9615173172,
-      "f": 0.9700499168
+      "p": 0.9758698092,
+      "r": 0.9560197911,
+      "f": 0.9658428214
     },
     "VerbForm": {
-      "p": 0.9617625637,
-      "r": 0.9503418496,
-      "f": 0.9560180995
+      "p": 0.9528643945,
+      "r": 0.9456639079,
+      "f": 0.9492504967
     },
     "Degree": {
-      "p": 0.9489795918,
-      "r": 0.9353448276,
-      "f": 0.9421128799
+      "p": 0.9463768116,
+      "r": 0.9382183908,
+      "f": 0.9422799423
     },
     "Definite": {
-      "p": 0.9973486522,
-      "r": 0.9933978873,
-      "f": 0.9953693495
+      "p": 0.9955830389,
+      "r": 0.9920774648,
+      "f": 0.9938271605
     },
     "Case": {
-      "p": 0.996007984,
-      "r": 0.9940239044,
-      "f": 0.9950149551
+      "p": 0.998003992,
+      "r": 0.9960159363,
+      "f": 0.9970089731
     },
     "Reflex": {
       "p": 1.0,
@@ -349,5 +349,5 @@
       "f": 0.7142857143
     }
   },
-  "lemma_acc": 0.8150554986
+  "lemma_acc": 0.9396166343
 }

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 = true
 
 [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 = true
 
 [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,
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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:a4ca79d5097486d1be75553f616234114868803581db5953e83cfbaa91e72a88
+size 463714

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"nl",
   "name":"core_news_md",
-  "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":"[email protected]",
   "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":300,
     "vectors":20000,
@@ -328,15 +328,8 @@
       "punct",
       "xcomp"
     ],
-    "senter":[
-      "I",
-      "S"
-    ],
     "attribute_ruler":[
 
-    ],
-    "lemmatizer":[
-
     ],
     "ner":[
       "CARDINAL",
@@ -364,8 +357,8 @@
     "morphologizer",
     "tagger",
     "parser",
-    "attribute_ruler",
     "lemmatizer",
+    "attribute_ruler",
     "ner"
   ],
   "components":[
@@ -373,186 +366,186 @@
     "morphologizer",
     "tagger",
     "parser",
+    "lemmatizer",
     "senter",
     "attribute_ruler",
-    "lemmatizer",
     "ner"
   ],
   "disabled":[
     "senter"
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   "performance":{
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-    "sents_p":0.8472032742,
-    "sents_r":0.8909612626,
-    "sents_f":0.8685314685,
-    "dep_uas":0.8688732323,
-    "dep_las":0.8211769476,
+    "tag_acc":0.9481352236,
+    "sents_p":0.8468899522,
+    "sents_r":0.8888091822,
+    "sents_f":0.8673433672,
+    "dep_uas":0.8684343946,
+    "dep_las":0.8217698801,
     "dep_las_per_type":{
       "nmod:poss":{
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+        "p":0.9487179487,
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       "nsubj":{
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       "aux":{
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       "advmod":{
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       "root":{
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