Update spaCy pipeline

.gitattributes

@@ -19,3 +19,4 @@
 *strings.json filter=lfs diff=lfs merge=lfs -text
 vectors filter=lfs diff=lfs merge=lfs -text
 model filter=lfs diff=lfs merge=lfs -text
+*key2row filter=lfs diff=lfs merge=lfs -text

LICENSES_SOURCES

@@ -878,554 +878,3 @@ Creative Commons may be contacted at creativecommons.org.
 
 
 
-# Lemmatization Lists
-
-* Author: Michal Měchura
-* URL: https://github.com/michmech/lemmatization-lists/
-* License: ODbL
-
-```
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README.md

@@ -14,61 +14,76 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7682119205
+      value: 0.7450110865
     - name: NER Recall
       type: recall
-      value: 0.725
+      value: 0.7
     - name: NER F Score
       type: f_score
-      value: 0.7459807074
+      value: 0.7218045113
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9506053269
   - task:
       name: POS
       type: token-classification
     metrics:
-    - name: POS Accuracy
+    - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9507990315
+      value: 0.9506053269
   - task:
-      name: SENTER
+      name: MORPH
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9045045045
-    - name: SENTER Recall
-      type: recall
-      value: 0.890070922
-    - name: SENTER F Score
-      type: f_score
-      value: 0.8972296693
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9371428571
   - task:
-      name: UNLABELED_DEPENDENCIES
+      name: LEMMA
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
+    - name: Lemma Accuracy
       type: accuracy
-      value: 0.8070861741
+      value: 0.9430508475
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.8080446927
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.8070861741
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.7628624099
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.8956289028
 ---
 ### Details: https://spacy.io/models/da#da_core_news_sm
 
-Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
+Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `da_core_news_sm` |
-| **Version** | `3.2.0` |
-| **spaCy** | `>=3.2.0,<3.3.0` |
-| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
-| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
+| **Version** | `3.3.0` |
+| **spaCy** | `>=3.3.0.dev0,<3.4.0` |
+| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
+| **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
-| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[Lemmatization Lists](https://github.com/michmech/lemmatization-lists/) (Michal Měchura) |
+| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard) |
 | **License** | `CC BY-SA 4.0` |
 | **Author** | [Explosion](https://explosion.ai) |
 
@@ -76,13 +91,12 @@ Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
 
 <details>
 
-<summary>View label scheme (195 labels for 4 components)</summary>
+<summary>View label scheme (193 labels for 3 components)</summary>
 
 | Component | Labels |
 | --- | --- |
 | **`morphologizer`** | `AdpType=Prep\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PROPN`, `Definite=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `NumType=Ord\|POS=ADJ`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=ADP\|PartType=Inf`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PART\|PartType=Inf`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Imp\|POS=VERB`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=ADV\|PartType=Inf`, `Degree=Sup\|POS=ADV`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|POS=PROPN`, `POS=ADP`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=INTJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=SYM`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Degree=Sup\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind\|Style=Arch`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Foreign=Yes\|POS=X`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Degree=Abs\|POS=ADV`, `POS=VERB\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Pres`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Mood=Imp\|POS=AUX`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=NOUN`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=NOUN` |
 | **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `advmod:lmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `expl`, `fixed`, `flat`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:lmod`, `obl:tmod`, `punct`, `xcomp` |
-| **`senter`** | `I`, `S` |
 | **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
 
 </details>
@@ -95,18 +109,18 @@ Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
 | `TOKEN_P` | 99.78 |
 | `TOKEN_R` | 99.75 |
 | `TOKEN_F` | 99.76 |
-| `POS_ACC` | 95.08 |
+| `POS_ACC` | 95.06 |
 | `MORPH_ACC` | 93.71 |
-| `MORPH_MICRO_P` | 95.63 |
-| `MORPH_MICRO_R` | 94.83 |
-| `MORPH_MICRO_F` | 95.23 |
-| `SENTS_P` | 90.45 |
+| `MORPH_MICRO_P` | 95.66 |
+| `MORPH_MICRO_R` | 94.89 |
+| `MORPH_MICRO_F` | 95.27 |
+| `SENTS_P` | 90.13 |
 | `SENTS_R` | 89.01 |
-| `SENTS_F` | 89.72 |
-| `DEP_UAS` | 80.71 |
-| `DEP_LAS` | 76.41 |
-| `TAG_ACC` | 95.08 |
-| `LEMMA_ACC` | 84.91 |
-| `ENTS_P` | 76.82 |
-| `ENTS_R` | 72.50 |
-| `ENTS_F` | 74.60 |
+| `SENTS_F` | 89.56 |
+| `DEP_UAS` | 80.80 |
+| `DEP_LAS` | 76.29 |
+| `LEMMA_ACC` | 94.31 |
+| `TAG_ACC` | 95.06 |
+| `ENTS_P` | 74.50 |
+| `ENTS_R` | 70.00 |
+| `ENTS_F` | 72.18 |

accuracy.json

@@ -3,51 +3,51 @@
   "token_p": 0.9977732598,
   "token_r": 0.9974835463,
   "token_f": 0.997628382,
-  "pos_acc": 0.9507990315,
+  "pos_acc": 0.9506053269,
   "morph_acc": 0.9371428571,
-  "morph_micro_p": 0.9563225412,
-  "morph_micro_r": 0.9482610671,
-  "morph_micro_f": 0.9522747434,
+  "morph_micro_p": 0.9565925398,
+  "morph_micro_r": 0.9488667912,
+  "morph_micro_f": 0.9527140033,
   "morph_per_feat": {
     "Mood": {
-      "p": 0.9639468691,
-      "r": 0.9685414681,
-      "f": 0.9662387066
+      "p": 0.9636711281,
+      "r": 0.9609151573,
+      "f": 0.9622911695
     },
     "Tense": {
-      "p": 0.9529147982,
-      "r": 0.9600903614,
-      "f": 0.9564891223
+      "p": 0.9503759398,
+      "r": 0.9518072289,
+      "f": 0.9510910459
     },
     "VerbForm": {
-      "p": 0.9471419791,
-      "r": 0.9430844553,
-      "f": 0.9451088623
+      "p": 0.9457125231,
+      "r": 0.9381884945,
+      "f": 0.9419354839
     },
     "Voice": {
-      "p": 0.968492123,
-      "r": 0.9648729447,
-      "f": 0.9666791464
+      "p": 0.9713423831,
+      "r": 0.9626307922,
+      "f": 0.966966967
     },
     "Definite": {
-      "p": 0.9468212715,
-      "r": 0.9355985776,
-      "f": 0.9411764706
+      "p": 0.950039968,
+      "r": 0.9391544844,
+      "f": 0.9445658653
     },
     "Gender": {
-      "p": 0.9299128102,
-      "r": 0.9215686275,
-      "f": 0.9257219162
+      "p": 0.9317497491,
+      "r": 0.9255566633,
+      "f": 0.928642881
     },
     "Number": {
-      "p": 0.9519535375,
-      "r": 0.9405320814,
-      "f": 0.9462083443
+      "p": 0.9502107482,
+      "r": 0.9407929056,
+      "f": 0.9454783748
     },
     "AdpType": {
-      "p": 1.0,
-      "r": 0.9840848806,
-      "f": 0.9919786096
+      "p": 0.9991087344,
+      "r": 0.991158267,
+      "f": 0.9951176209
     },
     "PartType": {
       "p": 1.0,
@@ -55,59 +55,59 @@
       "f": 0.9983739837
     },
     "Case": {
-      "p": 0.9727126806,
-      "r": 0.9573459716,
-      "f": 0.9649681529
+      "p": 0.9774557166,
+      "r": 0.9589257504,
+      "f": 0.9681020734
     },
     "Person": {
-      "p": 0.9770723104,
-      "r": 0.9840142096,
-      "f": 0.9805309735
+      "p": 0.9771528998,
+      "r": 0.9875666075,
+      "f": 0.9823321555
     },
     "PronType": {
-      "p": 0.9826875515,
-      "r": 0.9802631579,
-      "f": 0.9814738576
+      "p": 0.9851851852,
+      "r": 0.984375,
+      "f": 0.984779926
     },
     "NumType": {
-      "p": 0.9793103448,
+      "p": 0.9726027397,
       "r": 0.940397351,
-      "f": 0.9594594595
+      "f": 0.9562289562
     },
     "Degree": {
-      "p": 0.9402985075,
-      "r": 0.9108433735,
-      "f": 0.9253365973
+      "p": 0.9394313968,
+      "r": 0.9156626506,
+      "f": 0.9273947529
     },
     "Reflex": {
       "p": 1.0,
       "r": 1.0,
       "f": 1.0
     },
-    "Polite": {
-      "p": 0.75,
-      "r": 0.75,
-      "f": 0.75
-    },
     "Number[psor]": {
-      "p": 0.9885057471,
+      "p": 0.9772727273,
       "r": 1.0,
-      "f": 0.9942196532
+      "f": 0.9885057471
     },
     "Poss": {
-      "p": 1.0,
+      "p": 0.9887640449,
       "r": 1.0,
-      "f": 1.0
+      "f": 0.9943502825
+    },
+    "Polite": {
+      "p": 0.6,
+      "r": 0.75,
+      "f": 0.6666666667
     },
     "Foreign": {
-      "p": 0.8333333333,
-      "r": 0.5,
-      "f": 0.625
+      "p": 1.0,
+      "r": 0.4,
+      "f": 0.5714285714
     },
     "Abbr": {
-      "p": 1.0,
-      "r": 0.2,
-      "f": 0.3333333333
+      "p": 0.6666666667,
+      "r": 0.4,
+      "f": 0.5
     },
     "Style": {
       "p": 1.0,
@@ -115,141 +115,141 @@
       "f": 1.0
     }
   },
-  "sents_p": 0.9045045045,
+  "sents_p": 0.9012567325,
   "sents_r": 0.890070922,
-  "sents_f": 0.8972296693,
-  "dep_uas": 0.8070861741,
-  "dep_las": 0.7640549905,
+  "sents_f": 0.8956289028,
+  "dep_uas": 0.8080446927,
+  "dep_las": 0.7628624099,
   "dep_las_per_type": {
     "advmod": {
-      "p": 0.6948682386,
-      "r": 0.7076271186,
-      "f": 0.7011896431
+      "p": 0.6630434783,
+      "r": 0.6892655367,
+      "f": 0.675900277
     },
     "root": {
-      "p": 0.8078994614,
-      "r": 0.7978723404,
-      "f": 0.8028545941
+      "p": 0.8085867621,
+      "r": 0.8014184397,
+      "f": 0.8049866429
     },
     "nsubj": {
-      "p": 0.8367129136,
-      "r": 0.8270042194,
-      "f": 0.8318302387
+      "p": 0.8269639066,
+      "r": 0.8217299578,
+      "f": 0.8243386243
     },
     "case": {
-      "p": 0.8841584158,
-      "r": 0.8806706114,
-      "f": 0.8824110672
+      "p": 0.881372549,
+      "r": 0.8865877712,
+      "f": 0.883972468
     },
     "obl": {
-      "p": 0.6810207337,
-      "r": 0.6630434783,
-      "f": 0.6719118804
+      "p": 0.6786885246,
+      "r": 0.6428571429,
+      "f": 0.6602870813
     },
     "cc": {
-      "p": 0.7620396601,
-      "r": 0.7819767442,
-      "f": 0.7718794835
+      "p": 0.7614942529,
+      "r": 0.7703488372,
+      "f": 0.7658959538
     },
     "conj": {
-      "p": 0.6066481994,
-      "r": 0.584,
-      "f": 0.5951086957
+      "p": 0.6264044944,
+      "r": 0.5946666667,
+      "f": 0.610123119
     },
     "obj": {
-      "p": 0.7678244973,
-      "r": 0.8155339806,
-      "f": 0.790960452
+      "p": 0.761732852,
+      "r": 0.8194174757,
+      "f": 0.7895229186
     },
     "aux": {
-      "p": 0.875,
-      "r": 0.8571428571,
-      "f": 0.8659793814
+      "p": 0.8795180723,
+      "r": 0.8513119534,
+      "f": 0.8651851852
     },
     "acl:relcl": {
-      "p": 0.5852272727,
-      "r": 0.5567567568,
-      "f": 0.5706371191
+      "p": 0.6054054054,
+      "r": 0.6054054054,
+      "f": 0.6054054054
     },
     "advmod:lmod": {
-      "p": 0.7042253521,
-      "r": 0.7462686567,
-      "f": 0.7246376812
+      "p": 0.6875,
+      "r": 0.6567164179,
+      "f": 0.6717557252
     },
     "det": {
-      "p": 0.903814262,
-      "r": 0.8978583196,
-      "f": 0.9008264463
+      "p": 0.9126853377,
+      "r": 0.9126853377,
+      "f": 0.9126853377
     },
     "amod": {
-      "p": 0.7807757167,
-      "r": 0.7901023891,
-      "f": 0.7854113656
+      "p": 0.7852348993,
+      "r": 0.7986348123,
+      "f": 0.7918781726
     },
     "nmod:poss": {
-      "p": 0.7083333333,
-      "r": 0.6732673267,
-      "f": 0.6903553299
+      "p": 0.6767676768,
+      "r": 0.6633663366,
+      "f": 0.67
     },
     "ccomp": {
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+      "p": 0.824,
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+      "f": 0.8178913738
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     "compound:prt": {
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-      "f": 0.46875
+      "p": 0.44,
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+      "f": 0.3333333333
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     "advcl": {
-      "p": 0.6339285714,
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+      "p": 0.5877192982,
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     "mark": {
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-      "f": 0.8645833333
+      "p": 0.872651357,
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+      "f": 0.8654244306
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     "cop": {
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-      "r": 0.8228571429,
-      "f": 0.7955801105
+      "p": 0.752688172,
+      "r": 0.8,
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     },
     "dep": {
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+      "p": 0.1707317073,
       "r": 0.2641509434,
-      "f": 0.2028985507
+      "f": 0.2074074074
     },
     "nmod": {
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-      "r": 0.609375,
-      "f": 0.6075949367
+      "p": 0.6122840691,
+      "r": 0.623046875,
+      "f": 0.6176185866
     },
     "iobj": {
-      "p": 0.8181818182,
+      "p": 0.6923076923,
       "r": 0.4090909091,
-      "f": 0.5454545455
+      "f": 0.5142857143
     },
     "xcomp": {
-      "p": 0.431372549,
-      "r": 0.3728813559,
-      "f": 0.4
+      "p": 0.5161290323,
+      "r": 0.2711864407,
+      "f": 0.3555555556
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     "list": {
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-      "f": 0.2142857143
+      "p": 0.3636363636,
+      "r": 0.2222222222,
+      "f": 0.275862069
     },
     "vocative": {
       "p": 0.0,
@@ -257,62 +257,62 @@
       "f": 0.0
     },
     "fixed": {
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-      "f": 0.8395061728
-    },
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+      "p": 0.8684210526,
+      "r": 0.8048780488,
+      "f": 0.835443038
     },
     "expl": {
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+      "p": 0.84375,
       "r": 0.7941176471,
-      "f": 0.7941176471
+      "f": 0.8181818182
     },
     "appos": {
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+      "p": 0.4666666667,
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+      "f": 0.4444444444
     },
     "obl:tmod": {
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-      "f": 0.48
+      "p": 0.7777777778,
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+      "f": 0.5185185185
     },
     "discourse": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
+    },
+    "obl:lmod": {
+      "p": 0.0,
+      "r": 0.0,
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     }
   },
-  "tag_acc": 0.9507990315,
-  "lemma_acc": 0.8491041162,
-  "ents_p": 0.7682119205,
-  "ents_r": 0.725,
-  "ents_f": 0.7459807074,
+  "lemma_acc": 0.9430508475,
+  "tag_acc": 0.9506053269,
+  "ents_p": 0.7450110865,
+  "ents_r": 0.7,
+  "ents_f": 0.7218045113,
   "ents_per_type": {
     "PER": {
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-      "r": 0.765060241,
-      "f": 0.786377709
+      "p": 0.7818181818,
+      "r": 0.7771084337,
+      "f": 0.7794561934
     },
     "ORG": {
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-      "f": 0.674556213
+      "p": 0.6463414634,
+      "r": 0.5888888889,
+      "f": 0.6162790698
     },
     "MISC": {
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-      "f": 0.6842105263
+      "p": 0.6698113208,
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+      "f": 0.6484018265
     },
     "LOC": {
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-      "r": 0.7747747748,
-      "f": 0.8075117371
+      "p": 0.8469387755,
+      "r": 0.7477477477,
+      "f": 0.7942583732
     }
   },
-  "speed": 10057.2129225514
+  "speed": 12430.3213337348
 }

config.cfg

@@ -10,7 +10,7 @@ seed = 0
 
 [nlp]
 lang = "da"
-pipeline = ["tok2vec","morphologizer","parser","senter","attribute_ruler","lemmatizer","ner"]
+pipeline = ["tok2vec","morphologizer","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 = "lookup"
-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"
@@ -138,7 +151,7 @@ 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]
@@ -175,7 +188,7 @@ 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
@@ -210,17 +223,17 @@ eps = 0.00000001
 learn_rate = 0.001
 
 [training.score_weights]
-pos_acc = 0.08
-morph_acc = 0.08
+pos_acc = 0.14
+morph_acc = 0.14
 morph_per_feat = null
 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
@@ -237,6 +250,13 @@ 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]

da_core_news_sm-any-py3-none-any.whl

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-oid sha256:bfbc3ee87da2c0ae1523f78ce34ff0713684928bac1e0d450598725555acaf5d
-size 19129449
+oid sha256:ce68d469f3fee83ffd81e65031b80db2b6e671d300bc14e76f0d08cf50cfa6a3
+size 12379452

lemmatizer/cfg

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+{
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+}

lemmatizer/{lookups/lookups.bin → model}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6864ce8705293ba1b6dcf349ec133cdc33db3ba57f6e9337458cfe5073b6f103
-size 11537995
+oid sha256:f53e8bdea1eb3bca6208e92fe31944d15dd562ecd791ba6559e12e713fd5f0c1
+size 176206

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"da",
   "name":"core_news_sm",
-  "version":"3.2.0",
-  "description":"Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
+  "version":"3.3.0",
+  "description":"Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.",
   "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,
@@ -212,15 +212,8 @@
       "punct",
       "xcomp"
     ],
-    "senter":[
-      "I",
-      "S"
-    ],
     "attribute_ruler":[
 
-    ],
-    "lemmatizer":[
-
     ],
     "ner":[
       "LOC",
@@ -233,17 +226,17 @@
     "tok2vec",
     "morphologizer",
     "parser",
-    "attribute_ruler",
     "lemmatizer",
+    "attribute_ruler",
     "ner"
   ],
   "components":[
     "tok2vec",
     "morphologizer",
     "parser",
+    "lemmatizer",
     "senter",
     "attribute_ruler",
-    "lemmatizer",
     "ner"
   ],
   "disabled":[
@@ -254,51 +247,51 @@
     "token_p":0.9977732598,
     "token_r":0.9974835463,
     "token_f":0.997628382,
-    "pos_acc":0.9507990315,
+    "pos_acc":0.9506053269,
     "morph_acc":0.9371428571,
-    "morph_micro_p":0.9563225412,
-    "morph_micro_r":0.9482610671,
-    "morph_micro_f":0.9522747434,
+    "morph_micro_p":0.9565925398,
+    "morph_micro_r":0.9488667912,
+    "morph_micro_f":0.9527140033,
     "morph_per_feat":{
       "Mood":{
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-        "r":0.9685414681,
-        "f":0.9662387066
+        "p":0.9636711281,
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       },
       "Tense":{
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-        "f":0.9564891223
+        "p":0.9503759398,
+        "r":0.9518072289,
+        "f":0.9510910459
       },
       "VerbForm":{
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-        "r":0.9430844553,
-        "f":0.9451088623
+        "p":0.9457125231,
+        "r":0.9381884945,
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       "Voice":{
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+        "p":0.950039968,
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