Commit
·
6f612fd
1
Parent(s):
be92e91
Update spaCy pipeline
Browse files- README.md +28 -28
- accuracy.json +168 -168
- config.cfg +54 -26
- da_core_news_trf-any-py3-none-any.whl +2 -2
- lemmatizer/cfg +172 -178
- lemmatizer/model +2 -2
- lemmatizer/trees +0 -0
- meta.json +173 -173
- morphologizer/model +2 -2
- ner/model +2 -2
- parser/model +2 -2
- transformer/cfg +1 -1
- transformer/model +2 -2
- vocab/strings.json +2 -2
README.md
CHANGED
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@@ -14,72 +14,72 @@ model-index:
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| 14 |
metrics:
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- name: NER Precision
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type: precision
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-
value: 0.
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- name: NER Recall
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type: recall
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-
value: 0.
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- name: NER F Score
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type: f_score
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-
value: 0.
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| 24 |
- 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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| 30 |
-
value: 0.
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| 31 |
- task:
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name: POS
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type: token-classification
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| 34 |
metrics:
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- name: POS (UPOS) Accuracy
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| 36 |
type: accuracy
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| 37 |
-
value: 0.
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| 38 |
- task:
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name: MORPH
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type: token-classification
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| 41 |
metrics:
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| 42 |
- name: Morph (UFeats) Accuracy
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type: accuracy
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-
value: 0.
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| 45 |
- task:
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name: LEMMA
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type: token-classification
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| 48 |
metrics:
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| 49 |
- name: Lemma Accuracy
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| 50 |
type: accuracy
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-
value: 0.
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| 52 |
- 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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| 58 |
-
value: 0.
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| 59 |
- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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| 62 |
metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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| 65 |
-
value: 0.
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| 66 |
- 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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| 72 |
-
value: 0.
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| 73 |
---
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### Details: https://spacy.io/models/da#da_core_news_trf
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-
Danish transformer pipeline (vesteinn/DanskBERT). Components: transformer, morphologizer, parser, lemmatizer (trainable_lemmatizer), ner, attribute_ruler.
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_core_news_trf` |
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| 81 |
-
| **Version** | `3.
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| 82 |
-
| **spaCy** | `>=3.
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| 83 |
| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| 84 |
| **Components** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| 85 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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|
@@ -109,18 +109,18 @@ Danish transformer pipeline (vesteinn/DanskBERT). Components: transformer, morph
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| 109 |
| `TOKEN_P` | 99.78 |
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| 110 |
| `TOKEN_R` | 99.75 |
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| 111 |
| `TOKEN_F` | 99.76 |
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| 112 |
-
| `POS_ACC` | 98.
|
| 113 |
-
| `MORPH_ACC` | 98.
|
| 114 |
-
| `MORPH_MICRO_P` | 99.
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| 115 |
-
| `MORPH_MICRO_R` | 98.
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| 116 |
-
| `MORPH_MICRO_F` |
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| 117 |
-
| `SENTS_P` |
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| 118 |
-
| `SENTS_R` |
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| 119 |
-
| `SENTS_F` |
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| 120 |
-
| `DEP_UAS` |
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| 121 |
-
| `DEP_LAS` |
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| 122 |
-
| `LEMMA_ACC` | 95.
|
| 123 |
-
| `TAG_ACC` | 98.
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| 124 |
-
| `ENTS_P` |
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| 125 |
-
| `ENTS_R` |
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| 126 |
-
| `ENTS_F` |
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| 14 |
metrics:
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| 15 |
- name: NER Precision
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| 16 |
type: precision
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| 17 |
+
value: 0.8866396761
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| 18 |
- name: NER Recall
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| 19 |
type: recall
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| 20 |
+
value: 0.9125
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| 21 |
- name: NER F Score
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type: f_score
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| 23 |
+
value: 0.8993839836
|
| 24 |
- task:
|
| 25 |
name: TAG
|
| 26 |
type: token-classification
|
| 27 |
metrics:
|
| 28 |
- name: TAG (XPOS) Accuracy
|
| 29 |
type: accuracy
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| 30 |
+
value: 0.9870683392
|
| 31 |
- task:
|
| 32 |
name: POS
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| 33 |
type: token-classification
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| 34 |
metrics:
|
| 35 |
- name: POS (UPOS) Accuracy
|
| 36 |
type: accuracy
|
| 37 |
+
value: 0.9870683392
|
| 38 |
- task:
|
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name: MORPH
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type: token-classification
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| 41 |
metrics:
|
| 42 |
- name: Morph (UFeats) Accuracy
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| 43 |
type: accuracy
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| 44 |
+
value: 0.9845498135
|
| 45 |
- task:
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name: LEMMA
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type: token-classification
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| 48 |
metrics:
|
| 49 |
- name: Lemma Accuracy
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| 50 |
type: accuracy
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| 51 |
+
value: 0.9579661017
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| 52 |
- task:
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| 53 |
name: UNLABELED_DEPENDENCIES
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| 54 |
type: token-classification
|
| 55 |
metrics:
|
| 56 |
- name: Unlabeled Attachment Score (UAS)
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| 57 |
type: f_score
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| 58 |
+
value: 0.897934115
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| 59 |
- task:
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| 60 |
name: LABELED_DEPENDENCIES
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| 61 |
type: token-classification
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| 62 |
metrics:
|
| 63 |
- name: Labeled Attachment Score (LAS)
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| 64 |
type: f_score
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| 65 |
+
value: 0.8740509156
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| 66 |
- task:
|
| 67 |
name: SENTS
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| 68 |
type: token-classification
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| 69 |
metrics:
|
| 70 |
- name: Sentences F-Score
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| 71 |
type: f_score
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| 72 |
+
value: 0.9302736099
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| 73 |
---
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| 74 |
### Details: https://spacy.io/models/da#da_core_news_trf
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| 75 |
|
| 76 |
+
Danish transformer pipeline (Transformer(name='vesteinn/DanskBERT', piece_encoder='xlm-roberta-sentencepiece', stride=120, type='xlm-roberta', width=768, window=152, vocab_size=50005)). Components: transformer, morphologizer, parser, lemmatizer (trainable_lemmatizer), ner, attribute_ruler.
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| Feature | Description |
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| 79 |
| --- | --- |
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| **Name** | `da_core_news_trf` |
|
| 81 |
+
| **Version** | `3.7.2` |
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| 82 |
+
| **spaCy** | `>=3.7.0,<3.8.0` |
|
| 83 |
| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
| 84 |
| **Components** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
| 85 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
|
|
|
| 109 |
| `TOKEN_P` | 99.78 |
|
| 110 |
| `TOKEN_R` | 99.75 |
|
| 111 |
| `TOKEN_F` | 99.76 |
|
| 112 |
+
| `POS_ACC` | 98.71 |
|
| 113 |
+
| `MORPH_ACC` | 98.45 |
|
| 114 |
+
| `MORPH_MICRO_P` | 99.30 |
|
| 115 |
+
| `MORPH_MICRO_R` | 98.86 |
|
| 116 |
+
| `MORPH_MICRO_F` | 99.08 |
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| 117 |
+
| `SENTS_P` | 92.62 |
|
| 118 |
+
| `SENTS_R` | 93.44 |
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| 119 |
+
| `SENTS_F` | 93.03 |
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| 120 |
+
| `DEP_UAS` | 89.79 |
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| 121 |
+
| `DEP_LAS` | 87.41 |
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| 122 |
+
| `LEMMA_ACC` | 95.80 |
|
| 123 |
+
| `TAG_ACC` | 98.71 |
|
| 124 |
+
| `ENTS_P` | 88.66 |
|
| 125 |
+
| `ENTS_R` | 91.25 |
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| 126 |
+
| `ENTS_F` | 89.94 |
|
accuracy.json
CHANGED
|
@@ -3,51 +3,51 @@
|
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| 3 |
"token_p": 0.9977732598,
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| 4 |
"token_r": 0.9974835463,
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"token_f": 0.997628382,
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| 6 |
-
"pos_acc": 0.
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| 7 |
-
"morph_acc": 0.
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| 8 |
-
"morph_micro_p": 0.
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| 9 |
-
"morph_micro_r": 0.
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| 10 |
-
"morph_micro_f": 0.
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| 11 |
"morph_per_feat": {
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"Mood": {
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-
"p": 0.
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| 14 |
"r": 0.9942802669,
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| 15 |
-
"f": 0.
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},
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"Tense": {
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-
"p": 0.
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-
"r": 0.
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"f": 0.
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},
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"VerbForm": {
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-
"p": 0.
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-
"r": 0.
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-
"f": 0.
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},
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"Voice": {
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-
"p": 0.
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-
"r": 0.
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-
"f": 0.
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},
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"Definite": {
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-
"p": 0.
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"r": 0.
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"f": 0.
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},
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"Gender": {
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"p": 0.
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"r": 0.
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},
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"Number": {
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"AdpType": {
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"f": 0.
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},
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"PartType": {
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"p": 1.0,
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@@ -55,29 +55,29 @@
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"f": 1.0
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},
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"Case": {
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-
"p": 0.
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"r": 0.9889415482,
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"f": 0.
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},
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"Person": {
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"p": 0.
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"r": 0.
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},
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"PronType": {
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"r": 0.
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"f": 0.
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},
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"NumType": {
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"Degree": {
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"p": 0.
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"r": 0.
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"f": 0.
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},
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"Reflex": {
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"p": 1.0,
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@@ -85,19 +85,19 @@
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"f": 1.0
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},
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"Number[psor]": {
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-
"p": 0
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"r": 0
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"f": 0
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},
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"Poss": {
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"Foreign": {
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},
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"Abbr": {
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"p": 1.0,
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@@ -115,141 +115,146 @@
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"f": 1.0
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}
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},
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-
"sents_p": 0.
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"sents_r": 0.
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"sents_f": 0.
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"dep_uas": 0.
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"dep_las_per_type": {
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"advmod": {
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"root": {
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"nsubj": {
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"case": {
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"advmod:lmod": {
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"det": {
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"r": 0.9456342669,
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"amod": {
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"nmod:poss": {
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"ccomp": {
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"mark": {
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"dep": {
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"nmod": {
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"iobj": {
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"xcomp": {
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"list": {
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"vocative": {
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"p": 0.0,
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@@ -257,62 +262,57 @@
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"f": 0.0
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},
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"fixed": {
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"expl": {
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"r": 0.9117647059,
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"appos": {
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"obl:tmod": {
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"discourse": {
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"p": 0.0,
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"r": 0.0,
|
| 282 |
"f": 0.0
|
| 283 |
-
},
|
| 284 |
-
"obl:lmod": {
|
| 285 |
-
"p": 0.0,
|
| 286 |
-
"r": 0.0,
|
| 287 |
-
"f": 0.0
|
| 288 |
}
|
| 289 |
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|
| 290 |
-
"lemma_acc": 0.
|
| 291 |
-
"tag_acc": 0.
|
| 292 |
-
"ents_p": 0.
|
| 293 |
-
"ents_r": 0.
|
| 294 |
-
"ents_f": 0.
|
| 295 |
"ents_per_type": {
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 296 |
"PER": {
|
| 297 |
-
"p": 0.
|
| 298 |
-
"r": 0.
|
| 299 |
-
"f": 0.
|
| 300 |
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|
| 301 |
"ORG": {
|
| 302 |
-
"p": 0.
|
| 303 |
-
"r": 0.
|
| 304 |
-
"f": 0.
|
| 305 |
-
},
|
| 306 |
-
"MISC": {
|
| 307 |
-
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|
| 308 |
-
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|
| 309 |
-
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|
| 310 |
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|
| 311 |
"LOC": {
|
| 312 |
-
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| 313 |
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|
| 314 |
-
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| 315 |
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|
| 316 |
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|
| 317 |
-
"speed":
|
| 318 |
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|
|
|
|
| 3 |
"token_p": 0.9977732598,
|
| 4 |
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|
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"morph_micro_p": 0.9929531052,
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| 10 |
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|
| 11 |
"morph_per_feat": {
|
| 12 |
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|
| 13 |
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"p": 0.9952290076,
|
| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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|
| 25 |
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| 26 |
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| 27 |
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| 29 |
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|
|
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|
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| 82 |
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|
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|
|
|
|
| 85 |
"f": 1.0
|
| 86 |
},
|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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| 101 |
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| 102 |
"Abbr": {
|
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|
|
|
|
| 115 |
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|
| 116 |
}
|
| 117 |
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|
| 118 |
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"sents_p": 0.9261862917,
|
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|
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"dep_uas": 0.897934115,
|
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"dep_las": 0.8740509156,
|
| 123 |
"dep_las_per_type": {
|
| 124 |
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|
| 125 |
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"p": 0.8345323741,
|
| 126 |
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"r": 0.8192090395,
|
| 127 |
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|
| 128 |
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| 129 |
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|
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|
| 133 |
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|
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| 136 |
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|
| 137 |
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| 138 |
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| 139 |
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|
| 140 |
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|
| 142 |
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|
| 143 |
},
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| 144 |
"obl": {
|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 149 |
"cc": {
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| 151 |
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|
| 152 |
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"f": 0.898255814
|
| 153 |
},
|
| 154 |
"conj": {
|
| 155 |
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"p": 0.816,
|
| 156 |
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"r": 0.816,
|
| 157 |
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"f": 0.816
|
| 158 |
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|
| 159 |
"obj": {
|
| 160 |
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|
| 161 |
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|
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| 163 |
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| 164 |
"aux": {
|
| 165 |
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|
| 166 |
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|
| 167 |
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| 168 |
},
|
| 169 |
"acl:relcl": {
|
| 170 |
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"p": 0.7932960894,
|
| 171 |
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|
| 172 |
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"f": 0.7802197802
|
| 173 |
},
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| 174 |
"advmod:lmod": {
|
| 175 |
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"p": 0.8805970149,
|
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|
| 178 |
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|
| 179 |
"det": {
|
| 180 |
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"p": 0.9456342669,
|
| 181 |
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|
| 182 |
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"f": 0.9456342669
|
| 183 |
},
|
| 184 |
"amod": {
|
| 185 |
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"p": 0.8939393939,
|
| 186 |
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|
| 187 |
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|
| 188 |
},
|
| 189 |
"nmod:poss": {
|
| 190 |
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"p": 0.8,
|
| 191 |
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"r": 0.7920792079,
|
| 192 |
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"f": 0.7960199005
|
| 193 |
},
|
| 194 |
"ccomp": {
|
| 195 |
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"p": 0.7105263158,
|
| 196 |
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"r": 0.8709677419,
|
| 197 |
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"f": 0.7826086957
|
| 198 |
},
|
| 199 |
"nummod": {
|
| 200 |
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"p": 0.8174603175,
|
| 201 |
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"r": 0.8583333333,
|
| 202 |
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"f": 0.837398374
|
| 203 |
},
|
| 204 |
"flat": {
|
| 205 |
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"p": 0.8805031447,
|
| 206 |
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"r": 0.9271523179,
|
| 207 |
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"f": 0.9032258065
|
| 208 |
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|
| 209 |
"compound:prt": {
|
| 210 |
+
"p": 0.6666666667,
|
| 211 |
+
"r": 0.6341463415,
|
| 212 |
+
"f": 0.65
|
| 213 |
},
|
| 214 |
"advcl": {
|
| 215 |
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"p": 0.7699115044,
|
| 216 |
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"r": 0.75,
|
| 217 |
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"f": 0.7598253275
|
| 218 |
},
|
| 219 |
"mark": {
|
| 220 |
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"p": 0.9371069182,
|
| 221 |
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"r": 0.9178644764,
|
| 222 |
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"f": 0.9273858921
|
| 223 |
},
|
| 224 |
"cop": {
|
| 225 |
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"p": 0.9152542373,
|
| 226 |
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"r": 0.9257142857,
|
| 227 |
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"f": 0.9204545455
|
| 228 |
},
|
| 229 |
"dep": {
|
| 230 |
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"p": 0.2095238095,
|
| 231 |
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"r": 0.4150943396,
|
| 232 |
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"f": 0.2784810127
|
| 233 |
},
|
| 234 |
"nmod": {
|
| 235 |
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"p": 0.784989858,
|
| 236 |
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"r": 0.755859375,
|
| 237 |
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"f": 0.7701492537
|
| 238 |
},
|
| 239 |
"iobj": {
|
| 240 |
+
"p": 0.9375,
|
| 241 |
+
"r": 0.6818181818,
|
| 242 |
+
"f": 0.7894736842
|
| 243 |
},
|
| 244 |
"xcomp": {
|
| 245 |
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"p": 0.7346938776,
|
| 246 |
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"r": 0.6101694915,
|
| 247 |
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"f": 0.6666666667
|
| 248 |
+
},
|
| 249 |
+
"obl:lmod": {
|
| 250 |
+
"p": 0.0,
|
| 251 |
+
"r": 0.0,
|
| 252 |
+
"f": 0.0
|
| 253 |
},
|
| 254 |
"list": {
|
| 255 |
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"p": 0.4,
|
| 256 |
+
"r": 0.3333333333,
|
| 257 |
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"f": 0.3636363636
|
| 258 |
},
|
| 259 |
"vocative": {
|
| 260 |
"p": 0.0,
|
|
|
|
| 262 |
"f": 0.0
|
| 263 |
},
|
| 264 |
"fixed": {
|
| 265 |
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"p": 0.9473684211,
|
| 266 |
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"r": 0.8780487805,
|
| 267 |
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"f": 0.9113924051
|
| 268 |
},
|
| 269 |
"expl": {
|
| 270 |
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"p": 0.96875,
|
| 271 |
"r": 0.9117647059,
|
| 272 |
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"f": 0.9393939394
|
| 273 |
},
|
| 274 |
"appos": {
|
| 275 |
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"p": 0.7297297297,
|
| 276 |
+
"r": 0.8181818182,
|
| 277 |
+
"f": 0.7714285714
|
| 278 |
},
|
| 279 |
"obl:tmod": {
|
| 280 |
+
"p": 1.0,
|
| 281 |
+
"r": 0.6111111111,
|
| 282 |
+
"f": 0.7586206897
|
| 283 |
},
|
| 284 |
"discourse": {
|
| 285 |
"p": 0.0,
|
| 286 |
"r": 0.0,
|
| 287 |
"f": 0.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 288 |
}
|
| 289 |
},
|
| 290 |
+
"lemma_acc": 0.9579661017,
|
| 291 |
+
"tag_acc": 0.9870683392,
|
| 292 |
+
"ents_p": 0.8866396761,
|
| 293 |
+
"ents_r": 0.9125,
|
| 294 |
+
"ents_f": 0.8993839836,
|
| 295 |
"ents_per_type": {
|
| 296 |
+
"MISC": {
|
| 297 |
+
"p": 0.7846153846,
|
| 298 |
+
"r": 0.9026548673,
|
| 299 |
+
"f": 0.8395061728
|
| 300 |
+
},
|
| 301 |
"PER": {
|
| 302 |
+
"p": 0.950310559,
|
| 303 |
+
"r": 0.921686747,
|
| 304 |
+
"f": 0.9357798165
|
| 305 |
},
|
| 306 |
"ORG": {
|
| 307 |
+
"p": 0.8764044944,
|
| 308 |
+
"r": 0.8666666667,
|
| 309 |
+
"f": 0.8715083799
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 310 |
},
|
| 311 |
"LOC": {
|
| 312 |
+
"p": 0.9210526316,
|
| 313 |
"r": 0.9459459459,
|
| 314 |
+
"f": 0.9333333333
|
| 315 |
}
|
| 316 |
},
|
| 317 |
+
"speed": 523.1005752745
|
| 318 |
}
|
config.cfg
CHANGED
|
@@ -17,6 +17,7 @@ after_creation = null
|
|
| 17 |
after_pipeline_creation = null
|
| 18 |
batch_size = 64
|
| 19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
|
|
| 20 |
|
| 21 |
[components]
|
| 22 |
|
|
@@ -39,10 +40,11 @@ nO = null
|
|
| 39 |
normalize = false
|
| 40 |
|
| 41 |
[components.lemmatizer.model.tok2vec]
|
| 42 |
-
@architectures = "spacy-transformers.
|
| 43 |
-
|
| 44 |
upstream = "transformer"
|
| 45 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 46 |
|
| 47 |
[components.morphologizer]
|
| 48 |
factory = "morphologizer"
|
|
@@ -57,10 +59,11 @@ nO = null
|
|
| 57 |
normalize = false
|
| 58 |
|
| 59 |
[components.morphologizer.model.tok2vec]
|
| 60 |
-
@architectures = "spacy-transformers.
|
| 61 |
-
|
| 62 |
upstream = "transformer"
|
| 63 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 64 |
|
| 65 |
[components.ner]
|
| 66 |
factory = "ner"
|
|
@@ -79,10 +82,11 @@ use_upper = false
|
|
| 79 |
nO = null
|
| 80 |
|
| 81 |
[components.ner.model.tok2vec]
|
| 82 |
-
@architectures = "spacy-transformers.
|
| 83 |
-
|
| 84 |
upstream = "transformer"
|
| 85 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 86 |
|
| 87 |
[components.parser]
|
| 88 |
factory = "parser"
|
|
@@ -102,32 +106,44 @@ use_upper = false
|
|
| 102 |
nO = null
|
| 103 |
|
| 104 |
[components.parser.model.tok2vec]
|
| 105 |
-
@architectures = "spacy-transformers.
|
| 106 |
-
|
| 107 |
upstream = "transformer"
|
| 108 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 109 |
|
| 110 |
[components.transformer]
|
| 111 |
-
factory = "
|
| 112 |
-
|
| 113 |
-
|
| 114 |
|
| 115 |
[components.transformer.model]
|
| 116 |
-
|
| 117 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 118 |
mixed_precision = false
|
| 119 |
-
|
| 120 |
-
[components.transformer.model.get_spans]
|
| 121 |
-
@span_getters = "spacy-transformers.strided_spans.v1"
|
| 122 |
-
window = 128
|
| 123 |
-
stride = 96
|
| 124 |
|
| 125 |
[components.transformer.model.grad_scaler_config]
|
| 126 |
|
| 127 |
-
[components.transformer.model.
|
| 128 |
-
|
| 129 |
-
|
| 130 |
-
|
|
|
|
| 131 |
|
| 132 |
[corpora]
|
| 133 |
|
|
@@ -164,11 +180,11 @@ annotating_components = []
|
|
| 164 |
before_update = null
|
| 165 |
|
| 166 |
[training.batcher]
|
| 167 |
-
@batchers = "spacy.
|
| 168 |
-
discard_oversize =
|
| 169 |
-
get_length = null
|
| 170 |
size = 2000
|
| 171 |
-
|
|
|
|
| 172 |
|
| 173 |
[training.logger]
|
| 174 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
@@ -246,6 +262,18 @@ require = false
|
|
| 246 |
path = "corpus/labels/parser.json"
|
| 247 |
require = false
|
| 248 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 249 |
[initialize.lookups]
|
| 250 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 251 |
lang = ${nlp.lang}
|
|
|
|
| 17 |
after_pipeline_creation = null
|
| 18 |
batch_size = 64
|
| 19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
| 20 |
+
vectors = {"@vectors":"spacy.Vectors.v1"}
|
| 21 |
|
| 22 |
[components]
|
| 23 |
|
|
|
|
| 40 |
normalize = false
|
| 41 |
|
| 42 |
[components.lemmatizer.model.tok2vec]
|
| 43 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 44 |
+
width = ${components.transformer.model.hidden_width}
|
| 45 |
upstream = "transformer"
|
| 46 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 47 |
+
grad_factor = 1.0
|
| 48 |
|
| 49 |
[components.morphologizer]
|
| 50 |
factory = "morphologizer"
|
|
|
|
| 59 |
normalize = false
|
| 60 |
|
| 61 |
[components.morphologizer.model.tok2vec]
|
| 62 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 63 |
+
width = ${components.transformer.model.hidden_width}
|
| 64 |
upstream = "transformer"
|
| 65 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 66 |
+
grad_factor = 1.0
|
| 67 |
|
| 68 |
[components.ner]
|
| 69 |
factory = "ner"
|
|
|
|
| 82 |
nO = null
|
| 83 |
|
| 84 |
[components.ner.model.tok2vec]
|
| 85 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 86 |
+
width = ${components.transformer.model.hidden_width}
|
| 87 |
upstream = "transformer"
|
| 88 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 89 |
+
grad_factor = 1.0
|
| 90 |
|
| 91 |
[components.parser]
|
| 92 |
factory = "parser"
|
|
|
|
| 106 |
nO = null
|
| 107 |
|
| 108 |
[components.parser.model.tok2vec]
|
| 109 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 110 |
+
width = ${components.transformer.model.hidden_width}
|
| 111 |
upstream = "transformer"
|
| 112 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 113 |
+
grad_factor = 1.0
|
| 114 |
|
| 115 |
[components.transformer]
|
| 116 |
+
factory = "curated_transformer"
|
| 117 |
+
all_layer_outputs = false
|
| 118 |
+
frozen = false
|
| 119 |
|
| 120 |
[components.transformer.model]
|
| 121 |
+
@architectures = "spacy-curated-transformers.XlmrTransformer.v1"
|
| 122 |
+
vocab_size = 50005
|
| 123 |
+
hidden_width = 768
|
| 124 |
+
piece_encoder = {"@architectures":"spacy-curated-transformers.XlmrSentencepieceEncoder.v1"}
|
| 125 |
+
attention_probs_dropout_prob = 0.1
|
| 126 |
+
hidden_act = "gelu"
|
| 127 |
+
hidden_dropout_prob = 0.1
|
| 128 |
+
intermediate_width = 3072
|
| 129 |
+
layer_norm_eps = 0.00001
|
| 130 |
+
max_position_embeddings = 514
|
| 131 |
+
model_max_length = 512
|
| 132 |
+
num_attention_heads = 12
|
| 133 |
+
num_hidden_layers = 12
|
| 134 |
+
padding_idx = 1
|
| 135 |
+
type_vocab_size = 1
|
| 136 |
+
torchscript = false
|
| 137 |
mixed_precision = false
|
| 138 |
+
wrapped_listener = null
|
|
|
|
|
|
|
|
|
|
|
|
|
| 139 |
|
| 140 |
[components.transformer.model.grad_scaler_config]
|
| 141 |
|
| 142 |
+
[components.transformer.model.with_spans]
|
| 143 |
+
@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
|
| 144 |
+
stride = 120
|
| 145 |
+
window = 152
|
| 146 |
+
batch_size = 384
|
| 147 |
|
| 148 |
[corpora]
|
| 149 |
|
|
|
|
| 180 |
before_update = null
|
| 181 |
|
| 182 |
[training.batcher]
|
| 183 |
+
@batchers = "spacy.batch_by_words.v1"
|
| 184 |
+
discard_oversize = false
|
|
|
|
| 185 |
size = 2000
|
| 186 |
+
tolerance = 0.2
|
| 187 |
+
get_length = null
|
| 188 |
|
| 189 |
[training.logger]
|
| 190 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
|
|
| 262 |
path = "corpus/labels/parser.json"
|
| 263 |
require = false
|
| 264 |
|
| 265 |
+
[initialize.components.transformer]
|
| 266 |
+
|
| 267 |
+
[initialize.components.transformer.encoder_loader]
|
| 268 |
+
@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
|
| 269 |
+
name = "vesteinn/DanskBERT"
|
| 270 |
+
revision = "main"
|
| 271 |
+
|
| 272 |
+
[initialize.components.transformer.piecer_loader]
|
| 273 |
+
@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
|
| 274 |
+
name = "vesteinn/DanskBERT"
|
| 275 |
+
revision = "main"
|
| 276 |
+
|
| 277 |
[initialize.lookups]
|
| 278 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 279 |
lang = ${nlp.lang}
|
da_core_news_trf-any-py3-none-any.whl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89bfa83b2c7a53376976a12ac112ac91b910990e341b7c46d7faaef5fcc620e2
|
| 3 |
+
size 440703099
|
lemmatizer/cfg
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"labels":[
|
| 3 |
-
|
| 4 |
2,
|
| 5 |
4,
|
| 6 |
6,
|
|
@@ -10,16 +10,15 @@
|
|
| 10 |
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|
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|
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|
|
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|
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|
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|
|
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|
|
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|
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801,
|
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|
lemmatizer/model
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:
|
| 3 |
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size
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:0804a6d8b32f684ed40c9822a1b0883abe89ac3ed7e479934b3dd1b26d56c4d2
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| 3 |
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size 1372633
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lemmatizer/trees
CHANGED
|
Binary files a/lemmatizer/trees and b/lemmatizer/trees differ
|
|
|
meta.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"lang":"da",
|
| 3 |
"name":"core_news_trf",
|
| 4 |
-
"version":"3.
|
| 5 |
-
"description":"Danish transformer pipeline (vesteinn/DanskBERT). Components: transformer, morphologizer, parser, lemmatizer (trainable_lemmatizer), ner, attribute_ruler.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"[email protected]",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
"license":"CC BY-SA 4.0",
|
| 10 |
-
"spacy_version":">=3.
|
| 11 |
-
"spacy_git_version":"
|
| 12 |
"vectors":{
|
| 13 |
"width":0,
|
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"vectors":0,
|
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@@ -246,51 +246,51 @@
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|
| 246 |
"token_p":0.9977732598,
|
| 247 |
"token_r":0.9974835463,
|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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"morph_micro_r":0.
|
| 253 |
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"morph_micro_f":0.
|
| 254 |
"morph_per_feat":{
|
| 255 |
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|
| 256 |
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"p":0.
|
| 257 |
"r":0.9942802669,
|
| 258 |
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"f":0.
|
| 259 |
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|
| 260 |
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|
| 261 |
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"p":0.
|
| 262 |
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"r":0.
|
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"f":0.
|
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|
| 265 |
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|
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|
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|
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|
| 270 |
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|
| 271 |
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|
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|
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| 275 |
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| 285 |
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|
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|
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| 295 |
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|
| 296 |
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|
@@ -298,29 +298,29 @@
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|
| 299 |
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|
| 307 |
-
"r":0.
|
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|
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|
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-
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| 312 |
-
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|
| 313 |
-
"f":0.
|
| 314 |
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|
| 315 |
"NumType":{
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| 316 |
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| 318 |
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| 319 |
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| 322 |
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| 323 |
-
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| 324 |
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|
| 325 |
"Reflex":{
|
| 326 |
"p":1.0,
|
|
@@ -328,19 +328,19 @@
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|
| 328 |
"f":1.0
|
| 329 |
},
|
| 330 |
"Number[psor]":{
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| 331 |
-
"p":0
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| 332 |
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"r":0
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| 333 |
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"f":0
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| 334 |
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| 335 |
"Poss":{
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| 346 |
"p":1.0,
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|
@@ -358,141 +358,146 @@
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| 358 |
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| 482 |
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| 498 |
"p":0.0,
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|
@@ -500,64 +505,59 @@
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|
| 500 |
"f":0.0
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| 501 |
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| 502 |
"fixed":{
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| 539 |
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| 562 |
"sources":[
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| 563 |
{
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|
@@ -580,6 +580,6 @@
|
|
| 580 |
}
|
| 581 |
],
|
| 582 |
"requirements":[
|
| 583 |
-
"spacy-transformers>=
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| 584 |
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|
| 585 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"lang":"da",
|
| 3 |
"name":"core_news_trf",
|
| 4 |
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"version":"3.7.2",
|
| 5 |
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"description":"Danish transformer pipeline (Transformer(name='vesteinn/DanskBERT', piece_encoder='xlm-roberta-sentencepiece', stride=120, type='xlm-roberta', width=768, window=152, vocab_size=50005)). Components: transformer, morphologizer, parser, lemmatizer (trainable_lemmatizer), ner, attribute_ruler.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"[email protected]",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 246 |
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| 254 |
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| 255 |
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| 256 |
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| 270 |
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| 275 |
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| 285 |
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| 298 |
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| 300 |
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| 328 |
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parser/model
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