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Add nb_udv25_norwegiannynorsk_trf-0.0.1

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LICENSE.txt ADDED
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+ Creative Commons Attribution-ShareAlike 4.0 International license
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README.md ADDED
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language:
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+ - nb
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+ license: cc-by-sa-4.0
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+ model-index:
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+ - name: nb_udv25_norwegiannynorsk_trf
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+ results:
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+ - task:
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+ name: TAG
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+ type: token-classification
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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.9833263993
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+ - task:
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+ name: POS
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+ type: token-classification
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+ metrics:
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+ - name: POS (UPOS) Accuracy
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+ type: accuracy
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+ value: 0.9833584024
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+ - task:
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+ name: MORPH
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+ type: token-classification
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+ metrics:
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+ - name: Morph (UFeats) Accuracy
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+ type: accuracy
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+ value: 0.9790699907
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+ - task:
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+ name: LEMMA
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+ type: token-classification
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+ metrics:
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+ - name: Lemma Accuracy
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+ type: accuracy
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+ value: 0.9828149002
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+ - task:
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+ name: UNLABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Unlabeled Attachment Score (UAS)
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+ type: f_score
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+ value: 0.9411235308
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+ - task:
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+ name: LABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Labeled Attachment Score (LAS)
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+ type: f_score
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+ value: 0.9214320428
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+ - task:
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+ name: SENTS
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+ type: token-classification
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+ metrics:
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+ - name: Sentences F-Score
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+ type: f_score
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+ value: 0.9910005294
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+ ---
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+ UD v2.5 benchmarking pipeline for UD_Norwegian-Nynorsk
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+
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `nb_udv25_norwegiannynorsk_trf` |
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+ | **Version** | `0.0.1` |
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+ | **spaCy** | `>=3.2.1,<3.3.0` |
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+ | **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
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+ | **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
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+ | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
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+ | **License** | `CC BY-SA 4.0` |
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+ | **Author** | [Explosion](https://explosion.ai) |
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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (1400 labels for 6 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`experimental_char_ner_tokenizer`** | `TOKEN` |
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+ | **`senter`** | `I`, `S` |
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+ | **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
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+ | **`morphologizer`** | `Number=Plur\|POS=DET\|PronType=Ind`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADP`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Gender=Masc\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=NOUN`, `POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=ADV`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `POS=PRON\|PronType=Rel`, `POS=VERB\|VerbForm=Part`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADV`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADJ`, `POS=ADJ\|VerbForm=Part`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=DET\|PronType=Int`, `POS=AUX\|VerbForm=Inf`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=ADJ`, `POS=PART\|Polarity=Neg`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `POS=INTJ`, `Animacy=Hum\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Tot`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Def\|POS=DET\|PronType=Dem`, `POS=X`, `Case=Gen\|Gender=Masc\|POS=NOUN`, `POS=AUX\|VerbForm=Part`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Hum\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `POS=DET\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `POS=SYM`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Abbr=Yes\|POS=PRON\|PronType=Prs`, `Abbr=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=ADJ`, `Gender=Neut\|POS=NOUN`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|POS=NOUN`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Definite=Def\|NumType=Card\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|POS=PRON\|PronType=Int`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Plur\|POS=DET\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Abbr=Yes\|POS=CCONJ`, `Number=Plur\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Abbr=Yes\|Case=Gen\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Def\|POS=ADV`, `Number=Sing\|POS=PRON\|Polarity=Neg\|PronType=Neg`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Neut\|Number=Plur,Sing\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADP`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Art,Prs`, `Definite=Def\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Gender=Masc\|POS=NOUN`, `Case=Gen\|POS=NOUN`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `POS=PRON\|PronType=Prs`, `POS=ADV\|VerbForm=Inf`, `Degree=Sup\|POS=ADJ`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|POS=ADJ`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|POS=PRON\|Person=3\|PronType=Prs`, `Abbr=Yes\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Gender=Neut\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|POS=NOUN`, `Case=Gen\|Gender=Neut\|POS=NOUN`, `Definite=Def\|POS=ADJ\|VerbForm=Part`, `POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Number=Plur\|POS=ADJ\|VerbForm=Part`, `NumType=Card\|POS=NUM\|PronType=Dem`, `Definite=Ind\|Number=Sing\|POS=VERB\|VerbForm=Part` |
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+ | **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `expl`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `reparandum`, `xcomp` |
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+ | **`experimental_edit_tree_lemmatizer`** | `2`, `4`, `5`, `7`, `9`, `11`, `13`, `17`, `19`, `21`, `23`, `25`, `29`, `31`, `35`, `38`, `40`, `42`, `44`, `45`, `47`, `49`, `51`, `53`, `55`, `56`, `58`, `62`, `65`, `67`, `70`, `72`, `75`, `77`, `79`, `80`, `82`, `84`, `86`, `88`, `90`, `92`, `95`, `98`, `100`, `102`, `104`, `106`, `107`, `108`, `110`, `112`, `114`, `119`, `121`, `123`, `126`, `128`, `130`, `132`, `134`, `136`, `138`, `141`, `143`, `145`, `146`, `148`, `150`, `152`, `154`, `156`, `158`, `160`, `162`, `164`, `165`, `167`, `170`, `171`, `172`, `174`, `175`, `177`, `178`, `180`, `182`, `185`, `186`, `189`, `191`, `193`, `196`, `198`, `202`, `203`, `207`, `209`, `212`, `214`, `217`, `220`, `222`, `224`, `225`, `227`, `228`, `231`, `233`, `235`, `238`, `239`, `241`, `245`, `247`, `248`, `250`, `253`, `255`, `256`, `259`, `262`, `263`, `265`, `266`, `268`, `270`, `271`, `274`, `275`, `277`, `279`, `280`, `282`, `285`, `288`, `290`, `292`, `294`, `296`, `298`, `299`, `302`, `306`, `309`, `310`, `313`, `316`, `318`, `320`, `321`, `322`, `323`, `324`, `327`, `329`, `330`, `332`, `334`, `335`, `337`, `340`, `341`, `342`, `343`, `345`, `346`, `347`, `349`, `350`, `352`, `354`, `355`, `356`, `357`, `358`, `360`, `362`, `363`, `365`, `366`, `368`, `370`, `371`, `373`, `375`, `378`, `379`, `380`, `383`, `384`, `385`, `386`, `388`, `389`, `392`, `393`, `394`, `395`, `397`, `398`, `399`, `400`, `401`, `403`, `405`, `407`, `408`, `410`, `412`, `413`, `415`, `417`, `419`, `420`, `423`, `424`, `425`, `426`, `427`, `429`, `431`, `432`, `433`, `435`, `438`, `440`, `442`, `444`, `446`, `447`, `448`, `449`, `451`, `452`, `454`, `456`, `458`, `459`, `462`, `465`, `466`, `468`, `469`, `470`, `471`, `473`, `475`, `476`, `478`, `479`, `481`, `482`, `484`, `485`, `488`, `489`, `490`, `492`, `495`, `497`, `501`, `503`, `505`, `507`, `508`, `510`, `512`, `513`, `515`, `517`, `518`, `520`, `521`, `523`, `524`, `526`, `527`, `529`, `530`, `531`, `534`, `536`, `537`, `538`, `539`, `541`, `543`, `544`, `545`, `547`, `548`, `549`, `551`, `552`, `553`, `556`, `557`, `558`, `559`, `561`, `562`, `564`, `565`, `567`, `568`, `569`, `571`, `573`, `574`, `577`, `578`, `580`, `581`, `582`, `583`, `584`, `585`, `589`, `591`, `593`, `594`, `596`, `598`, `599`, `602`, `603`, `604`, `605`, `607`, `609`, `611`, `613`, `615`, `616`, `617`, `619`, `621`, `622`, `623`, `625`, `627`, `629`, `630`, `631`, `632`, `633`, `635`, `636`, `637`, `639`, `640`, `641`, `642`, `644`, `645`, `647`, `648`, `649`, `651`, `652`, `653`, `655`, `659`, `660`, `661`, `662`, `663`, `664`, `665`, `666`, `668`, `671`, `672`, `673`, `675`, `676`, `677`, `678`, `679`, `680`, `684`, `687`, `688`, `689`, `184`, `690`, `692`, `261`, `694`, `695`, `696`, `698`, `701`, `702`, `705`, `707`, `709`, `710`, `711`, `714`, `715`, `716`, `718`, `720`, `721`, `723`, `725`, `727`, `729`, `731`, `732`, `735`, `737`, `738`, `739`, `740`, `743`, `744`, `746`, `747`, `749`, `750`, `751`, `752`, `753`, `754`, `755`, `756`, 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`1175`, `1176`, `1177`, `1180`, `1183`, `1186`, `1187`, `1190`, `1192`, `1193`, `1194`, `1195`, `1198`, `1199`, `1200`, `1202`, `1205`, `1207`, `1208`, `1209`, `1210`, `1212`, `1213`, `1214`, `1215`, `1216`, `1217`, `1219`, `1220`, `1221`, `1222`, `1224`, `1225`, `1226`, `1227`, `1229`, `1231`, `1232`, `1235`, `1236`, `1239`, `1240`, `1241`, `1243`, `1244`, `1245`, `1248`, `1250`, `1251`, `1252`, `1253`, `1254`, `1255`, `1258`, `1259`, `1260`, `1261`, `1263`, `1265`, `1266`, `1267`, `1268`, `1269`, `1270`, `1271`, `1272`, `1273`, `1274`, `1275`, `1278`, `1279`, `1280`, `1281`, `1282`, `1283`, `1285`, `1286`, `1287`, `1289`, `1291`, `1293`, `1294`, `1295`, `1296`, `1298`, `1299`, `1300`, `1301`, `1302`, `1303`, `1304`, `1307`, `1308`, `1309`, `1311`, `1312`, `1315`, `1317`, `1319`, `1320`, `1322`, `1324`, `1325`, `1326`, `1327`, `1329`, `1330`, `1331`, `1332`, `1333`, `1334`, `1335`, `1337`, `1338`, `1340`, `1341`, `1342`, `1343`, `1345`, `1347`, `1348`, `1349`, `1350`, `1351`, `1353`, 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`1750`, `1751`, `1753`, `1754`, `1755`, `1756`, `1757`, `1758`, `1761`, `1763`, `1765`, `1767`, `1771`, `1774`, `1777`, `1779`, `1781`, `1783`, `1785`, `1786`, `1789`, `1791`, `1792`, `1793`, `1794`, `1795`, `1797`, `1800`, `1803`, `1806`, `1808`, `1810`, `1811`, `1812`, `1813`, `1816`, `1818`, `1820`, `1821`, `1823`, `1827`, `1829`, `1831`, `1832`, `1833`, `1835`, `1837`, `1838`, `1840`, `1842`, `1843`, `1844`, `1845`, `1848`, `1849`, `1851`, `1852`, `1854`, `1855`, `1857`, `1858`, `1859`, `1861`, `1862`, `1863`, `1866`, `1868`, `1871`, `1873`, `1874`, `1875`, `1876`, `1877`, `1879`, `1882`, `1884`, `1885`, `1887`, `1889`, `1890`, `1891`, `1892`, `1894`, `1896` |
89
+
90
+ </details>
91
+
92
+ ### Accuracy
93
+
94
+ | Type | Score |
95
+ | --- | --- |
96
+ | `TOKEN_F` | 99.96 |
97
+ | `TOKEN_P` | 99.96 |
98
+ | `TOKEN_R` | 99.96 |
99
+ | `TOKEN_ACC` | 99.99 |
100
+ | `SENTS_F` | 99.10 |
101
+ | `SENTS_P` | 99.15 |
102
+ | `SENTS_R` | 99.05 |
103
+ | `TAG_ACC` | 98.33 |
104
+ | `POS_ACC` | 98.34 |
105
+ | `MORPH_ACC` | 97.91 |
106
+ | `DEP_UAS` | 94.11 |
107
+ | `DEP_LAS` | 92.14 |
108
+ | `LEMMA_ACC` | 98.28 |
config.cfg ADDED
@@ -0,0 +1,254 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [paths]
2
+ train = "corpus/UD_Norwegian-Nynorsk/train.spacy"
3
+ dev = "corpus/UD_Norwegian-Nynorsk/dev.spacy"
4
+ vectors = null
5
+ init_tok2vec = null
6
+ tokenizer_source = "training/UD_Norwegian-Nynorsk/tokenizer/model-best"
7
+ transformer_source = "training/UD_Norwegian-Nynorsk/transformer/model-best"
8
+
9
+ [system]
10
+ gpu_allocator = "pytorch"
11
+ seed = 0
12
+
13
+ [nlp]
14
+ lang = "nb"
15
+ pipeline = ["experimental_char_ner_tokenizer","transformer","senter","tagger","morphologizer","parser","experimental_edit_tree_lemmatizer"]
16
+ batch_size = 64
17
+ disabled = ["senter"]
18
+ before_creation = null
19
+ after_creation = null
20
+ after_pipeline_creation = null
21
+ tokenizer = {"@tokenizers":"spacy-experimental.char_pretokenizer.v1"}
22
+
23
+ [components]
24
+
25
+ [components.experimental_char_ner_tokenizer]
26
+ factory = "experimental_char_ner_tokenizer"
27
+ scorer = {"@scorers":"spacy-experimental.tokenizer_scorer.v1"}
28
+
29
+ [components.experimental_char_ner_tokenizer.model]
30
+ @architectures = "spacy.TransitionBasedParser.v2"
31
+ state_type = "ner"
32
+ extra_state_tokens = false
33
+ hidden_width = 64
34
+ maxout_pieces = 2
35
+ use_upper = true
36
+ nO = null
37
+
38
+ [components.experimental_char_ner_tokenizer.model.tok2vec]
39
+ @architectures = "spacy.Tok2Vec.v2"
40
+
41
+ [components.experimental_char_ner_tokenizer.model.tok2vec.embed]
42
+ @architectures = "spacy.MultiHashEmbed.v2"
43
+ width = 128
44
+ attrs = ["ORTH","LOWER","IS_DIGIT","IS_ALPHA","IS_SPACE","IS_PUNCT"]
45
+ rows = [1000,500,50,50,50,50]
46
+ include_static_vectors = false
47
+
48
+ [components.experimental_char_ner_tokenizer.model.tok2vec.encode]
49
+ @architectures = "spacy.MaxoutWindowEncoder.v2"
50
+ width = 128
51
+ depth = 4
52
+ window_size = 4
53
+ maxout_pieces = 2
54
+
55
+ [components.experimental_edit_tree_lemmatizer]
56
+ factory = "experimental_edit_tree_lemmatizer"
57
+ backoff = "orth"
58
+ min_tree_freq = 1
59
+ overwrite = false
60
+ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
61
+ top_k = 1
62
+
63
+ [components.experimental_edit_tree_lemmatizer.model]
64
+ @architectures = "spacy.Tagger.v1"
65
+ nO = null
66
+
67
+ [components.experimental_edit_tree_lemmatizer.model.tok2vec]
68
+ @architectures = "spacy-transformers.TransformerListener.v1"
69
+ grad_factor = 1.0
70
+ upstream = "transformer"
71
+ pooling = {"@layers":"reduce_mean.v1"}
72
+
73
+ [components.morphologizer]
74
+ factory = "morphologizer"
75
+ extend = false
76
+ overwrite = false
77
+ scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
78
+
79
+ [components.morphologizer.model]
80
+ @architectures = "spacy.Tagger.v1"
81
+ nO = null
82
+
83
+ [components.morphologizer.model.tok2vec]
84
+ @architectures = "spacy-transformers.TransformerListener.v1"
85
+ grad_factor = 1.0
86
+ upstream = "transformer"
87
+ pooling = {"@layers":"reduce_mean.v1"}
88
+
89
+ [components.parser]
90
+ factory = "parser"
91
+ learn_tokens = false
92
+ min_action_freq = 5
93
+ moves = null
94
+ scorer = {"@scorers":"spacy.parser_scorer.v1"}
95
+ update_with_oracle_cut_size = 100
96
+
97
+ [components.parser.model]
98
+ @architectures = "spacy.TransitionBasedParser.v2"
99
+ state_type = "parser"
100
+ extra_state_tokens = false
101
+ hidden_width = 64
102
+ maxout_pieces = 3
103
+ use_upper = false
104
+ nO = null
105
+
106
+ [components.parser.model.tok2vec]
107
+ @architectures = "spacy-transformers.TransformerListener.v1"
108
+ grad_factor = 1.0
109
+ upstream = "transformer"
110
+ pooling = {"@layers":"reduce_mean.v1"}
111
+
112
+ [components.senter]
113
+ factory = "senter"
114
+ overwrite = false
115
+ scorer = {"@scorers":"spacy.senter_scorer.v1"}
116
+
117
+ [components.senter.model]
118
+ @architectures = "spacy.Tagger.v1"
119
+ nO = null
120
+
121
+ [components.senter.model.tok2vec]
122
+ @architectures = "spacy-transformers.TransformerListener.v1"
123
+ grad_factor = 1.0
124
+ upstream = "transformer"
125
+ pooling = {"@layers":"reduce_mean.v1"}
126
+
127
+ [components.tagger]
128
+ factory = "tagger"
129
+ neg_prefix = "!"
130
+ overwrite = false
131
+ scorer = {"@scorers":"spacy.tagger_scorer.v1"}
132
+
133
+ [components.tagger.model]
134
+ @architectures = "spacy.Tagger.v1"
135
+ nO = null
136
+
137
+ [components.tagger.model.tok2vec]
138
+ @architectures = "spacy-transformers.TransformerListener.v1"
139
+ grad_factor = 1.0
140
+ upstream = "transformer"
141
+ pooling = {"@layers":"reduce_mean.v1"}
142
+
143
+ [components.transformer]
144
+ factory = "transformer"
145
+ max_batch_items = 4096
146
+ set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
147
+
148
+ [components.transformer.model]
149
+ @architectures = "spacy-transformers.TransformerModel.v3"
150
+ name = "xlm-roberta-base"
151
+ mixed_precision = true
152
+
153
+ [components.transformer.model.get_spans]
154
+ @span_getters = "spacy-transformers.strided_spans.v1"
155
+ window = 128
156
+ stride = 96
157
+
158
+ [components.transformer.model.grad_scaler_config]
159
+
160
+ [components.transformer.model.tokenizer_config]
161
+ use_fast = true
162
+
163
+ [components.transformer.model.transformer_config]
164
+
165
+ [corpora]
166
+
167
+ [corpora.dev]
168
+ @readers = "spacy.Corpus.v1"
169
+ path = ${paths.dev}
170
+ max_length = 0
171
+ gold_preproc = false
172
+ limit = 0
173
+ augmenter = null
174
+
175
+ [corpora.train]
176
+ @readers = "spacy.Corpus.v1"
177
+ path = ${paths.train}
178
+ max_length = 0
179
+ gold_preproc = false
180
+ limit = 0
181
+ augmenter = null
182
+
183
+ [training]
184
+ train_corpus = "corpora.train"
185
+ dev_corpus = "corpora.dev"
186
+ seed = ${system:seed}
187
+ gpu_allocator = ${system:gpu_allocator}
188
+ dropout = 0.1
189
+ accumulate_gradient = 3
190
+ patience = 5000
191
+ max_epochs = 0
192
+ max_steps = 20000
193
+ eval_frequency = 200
194
+ frozen_components = []
195
+ before_to_disk = null
196
+ annotating_components = []
197
+
198
+ [training.batcher]
199
+ @batchers = "spacy.batch_by_padded.v1"
200
+ discard_oversize = true
201
+ get_length = null
202
+ size = 2000
203
+ buffer = 256
204
+
205
+ [training.logger]
206
+ @loggers = "spacy.ConsoleLogger.v1"
207
+ progress_bar = false
208
+
209
+ [training.optimizer]
210
+ @optimizers = "Adam.v1"
211
+ beta1 = 0.9
212
+ beta2 = 0.999
213
+ L2_is_weight_decay = true
214
+ L2 = 0.01
215
+ grad_clip = 1.0
216
+ use_averages = true
217
+ eps = 0.00000001
218
+
219
+ [training.optimizer.learn_rate]
220
+ @schedules = "warmup_linear.v1"
221
+ warmup_steps = 250
222
+ total_steps = 20000
223
+ initial_rate = 0.00005
224
+
225
+ [training.score_weights]
226
+ token_f = 0.0
227
+ token_p = null
228
+ token_r = null
229
+ token_acc = null
230
+ sents_f = 0.05
231
+ sents_p = 0.0
232
+ sents_r = 0.0
233
+ tag_acc = 0.11
234
+ pos_acc = 0.05
235
+ morph_acc = 0.05
236
+ morph_per_feat = null
237
+ dep_uas = 0.11
238
+ dep_las = 0.11
239
+ dep_las_per_type = null
240
+ lemma_acc = 0.52
241
+
242
+ [pretraining]
243
+
244
+ [initialize]
245
+ vectors = ${paths.vectors}
246
+ init_tok2vec = ${paths.init_tok2vec}
247
+ vocab_data = null
248
+ lookups = null
249
+ before_init = null
250
+ after_init = null
251
+
252
+ [initialize.components]
253
+
254
+ [initialize.tokenizer]
experimental_char_ner_tokenizer/cfg ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "moves":null,
3
+ "update_with_oracle_cut_size":100,
4
+ "multitasks":[
5
+
6
+ ],
7
+ "min_action_freq":1,
8
+ "learn_tokens":false,
9
+ "beam_width":1,
10
+ "beam_density":0.0,
11
+ "beam_update_prob":0.0,
12
+ "incorrect_spans_key":null
13
+ }
experimental_char_ner_tokenizer/model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:bb345d089ee1ae361d1d1ab8ed2a0917aeac8e36a2e89d754b707c59bc4fc9fa
3
+ size 6922248
experimental_char_ner_tokenizer/moves ADDED
@@ -0,0 +1 @@
 
 
1
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experimental_edit_tree_lemmatizer/cfg ADDED
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+ "Gender=Masc|Number=Sing|POS=DET|PronType=Ind",
145
+ "Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Ind,Prs",
146
+ "Definite=Ind|Degree=Pos|POS=ADJ",
147
+ "Number=Plur|POS=PRON|Poss=Yes|PronType=Prs",
148
+ "Gender=Masc|Number=Sing|POS=DET|PronType=Tot",
149
+ "POS=SYM",
150
+ "Gender=Neut|Number=Sing|POS=DET|PronType=Tot",
151
+ "Number=Plur|POS=NOUN",
152
+ "Definite=Ind|Gender=Masc|Number=Sing|POS=DET|PronType=Prs",
153
+ "Case=Gen|Definite=Def|Gender=Masc|Number=Sing|POS=NOUN",
154
+ "Gender=Fem,Masc|Number=Sing|POS=PRON|Person=3|PronType=Prs",
155
+ "Abbr=Yes|POS=PRON|PronType=Prs",
156
+ "Abbr=Yes|Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin",
157
+ "POS=ADJ",
158
+ "Gender=Neut|POS=NOUN",
159
+ "Animacy=Hum|Case=Acc|Number=Plur|POS=PRON|Person=1|PronType=Prs",
160
+ "Definite=Ind|Gender=Neut|Number=Sing|POS=DET|PronType=Prs",
161
+ "Definite=Ind|Gender=Fem|Number=Sing|POS=DET|PronType=Dem",
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+ "Gender=Fem|POS=NOUN",
163
+ "Degree=Pos|POS=ADJ",
164
+ "Definite=Def|NumType=Card|Number=Sing|POS=NUM",
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+ "Animacy=Hum|Case=Nom|Number=Sing|POS=PRON|Person=2|PronType=Prs",
166
+ "Animacy=Hum|Case=Acc|Number=Sing|POS=PRON|Person=2|PronType=Prs",
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+ "Definite=Def|NumType=Card|POS=NUM",
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+ "Case=Nom|Gender=Fem|Number=Sing|POS=PRON|Person=3|PronType=Prs",
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+ "Gender=Fem|Number=Sing|POS=DET|PronType=Tot",
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+ "Number=Plur|POS=PRON|Person=3|PronType=Prs,Tot",
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+ "Case=Acc|Gender=Fem|Number=Sing|POS=PRON|Person=3|PronType=Prs",
172
+ "Gender=Fem|Number=Sing|POS=DET|Polarity=Neg|PronType=Neg",
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+ "Gender=Fem|NumType=Card|Number=Sing|POS=NUM",
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+ "Definite=Def|Number=Sing|POS=ADJ|VerbForm=Part",
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+ "Definite=Ind|Degree=Pos|Gender=Fem|Number=Sing|POS=ADJ",
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+ "Animacy=Hum|POS=PRON|PronType=Int",
177
+ "Mood=Imp|POS=AUX|VerbForm=Fin",
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+ "Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN",
179
+ "Number=Plur|POS=DET|PronType=Prs",
180
+ "Case=Gen|Gender=Masc|Number=Sing|POS=DET|PronType=Dem",
181
+ "Abbr=Yes|POS=CCONJ",
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+ "Number=Plur|POS=PRON|Person=3|Polarity=Neg|PronType=Neg,Prs",
183
+ "Gender=Masc|Number=Sing|POS=PRON|Person=3|PronType=Ind,Prs",
184
+ "Definite=Def|Number=Sing|POS=DET|PronType=Dem",
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+ "Number=Plur|POS=ADJ",
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+ "Gender=Masc|Number=Sing|POS=DET|Polarity=Neg|PronType=Neg",
187
+ "Definite=Ind|Gender=Fem|Number=Sing|POS=DET|PronType=Prs",
188
+ "Gender=Masc|Number=Sing|POS=PRON|Person=3|Polarity=Neg|PronType=Neg,Prs",
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+ "Abbr=Yes|Case=Gen|POS=NOUN",
190
+ "Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN",
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+ "Case=Gen|Number=Plur|POS=DET|PronType=Dem",
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+ "Definite=Def|POS=ADV",
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+ "Number=Sing|POS=PRON|Polarity=Neg|PronType=Neg",
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+ "Case=Gen|Definite=Ind|Gender=Masc|Number=Plur|POS=NOUN",
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+ "Abbr=Yes|Definite=Def,Ind|Gender=Neut|Number=Plur,Sing|POS=NOUN",
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+ "Gender=Neut|Number=Sing|POS=DET|PronType=Prs",
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+ "Number=Plur|POS=PRON|Person=3|PronType=Ind,Prs",
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+ "Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ",
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+ "Abbr=Yes|POS=ADP",
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+ "Gender=Fem|Number=Sing|POS=DET|PronType=Ind",
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+ "Case=Gen|Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ",
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+ "Animacy=Hum|Case=Nom|POS=PRON|Person=1|PronType=Prs",
203
+ "Case=Gen|Definite=Def|Gender=Masc|Number=Plur|POS=NOUN",
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+ "Gender=Neut|NumType=Card|Number=Sing|POS=NUM",
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+ "Gender=Fem|Number=Sing|POS=PRON|Person=3|PronType=Art,Prs",
206
+ "Definite=Def|Number=Plur|POS=NOUN",
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+ "Abbr=Yes|Gender=Masc|POS=NOUN",
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+ "Case=Gen|POS=NOUN",
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+ "Definite=Ind|Gender=Fem|Number=Sing|POS=ADJ|VerbForm=Part",
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+ "Case=Gen|Definite=Ind|Gender=Fem|Number=Sing|POS=NOUN",
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+ "Case=Gen|Degree=Pos|Number=Plur|POS=ADJ",
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+ "POS=PRON|PronType=Prs",
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+ "POS=ADV|VerbForm=Inf",
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+ "Degree=Sup|POS=ADJ",
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+ "Definite=Ind|Degree=Pos|Gender=Neut|POS=ADJ",
216
+ "Definite=Ind|Gender=Masc|POS=NOUN",
217
+ "Animacy=Hum|Case=Nom|Gender=Masc|POS=PRON|Person=3|PronType=Prs",
218
+ "Abbr=Yes|POS=PROPN",
219
+ "Case=Gen|Gender=Neut|Number=Sing|POS=DET|PronType=Dem",
220
+ "Definite=Ind|Gender=Neut|Number=Sing|POS=VERB|VerbForm=Part",
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+ "Gender=Neut|POS=PRON|Person=3|PronType=Prs",
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+ "Case=Gen|Gender=Fem|POS=NOUN",
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+ "Case=Gen|Gender=Neut|POS=NOUN",
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+ "Definite=Def|POS=ADJ|VerbForm=Part",
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+ "POS=DET|PronType=Dem",
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+ "Definite=Ind|Gender=Neut|Number=Sing|POS=ADJ",
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+ "Case=Gen|Definite=Ind|Gender=Fem|Number=Plur|POS=NOUN",
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+ "Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ|VerbForm=Part",
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+ "Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ|VerbForm=Part",
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+ "Case=Gen|Definite=Def|Gender=Fem|Number=Plur|POS=NOUN",
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+ "Definite=Ind|Number=Plur|POS=ADJ|VerbForm=Part",
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+ "NumType=Card|POS=NUM|PronType=Dem",
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+ "Definite=Ind|Number=Sing|POS=VERB|VerbForm=Part"
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+ ],
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+ "parser":[
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+ "ROOT",
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+ "acl:relcl",
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+ "orphan",
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+ "xcomp"
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+ "Case=Gen|POS=PROPN":"Case=Gen",
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+ "Definite=Def|POS=DET|PronType=Prs":"Definite=Def|PronType=Prs",
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+ "Case=Gen|Definite=Def|Gender=Fem|Number=Sing|POS=NOUN":"Case=Gen|Definite=Def|Gender=Fem|Number=Sing",
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+ "POS=X":"",
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+ "POS=AUX|VerbForm=Part":"VerbForm=Part",
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+ "Gender=Fem|NumType=Card|Number=Sing|POS=NUM":"Gender=Fem|NumType=Card|Number=Sing",
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+ "Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN":"Case=Gen|Definite=Def|Gender=Neut|Number=Plur",
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+ "Definite=Ind|Gender=Fem|Number=Sing|POS=DET|PronType=Prs":"Definite=Ind|Gender=Fem|Number=Sing|PronType=Prs",
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