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spacy
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da_core_news_lg

Token Classification spaCy Danish Eval Results
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adrianeboyd commited on
Commit
3546373
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1 Parent(s): 9179a65

Update spaCy pipeline

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Files changed (14) hide show
  1. README.md +28 -28
  2. accuracy.json +155 -155
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +5 -4
  5. da_core_news_lg-any-py3-none-any.whl +2 -2
  6. lemmatizer/model +1 -1
  7. meta.json +158 -158
  8. morphologizer/model +1 -1
  9. ner/model +2 -2
  10. parser/model +1 -1
  11. senter/model +1 -1
  12. tok2vec/model +2 -2
  13. tokenizer +0 -0
  14. vocab/strings.json +2 -2
README.md CHANGED
@@ -14,62 +14,62 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.8161157025
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8229166667
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8195020747
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
- value: 0.9641646489
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
- value: 0.9641646489
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
- value: 0.9538014528
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
- value: 0.9518644068
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
- value: 0.8220111732
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
- value: 0.7817440366
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
- value: 0.9055258467
73
  ---
74
  ### Details: https://spacy.io/models/da#da_core_news_lg
75
 
@@ -78,8 +78,8 @@ Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, l
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `da_core_news_lg` |
81
- | **Version** | `3.4.0` |
82
- | **spaCy** | `>=3.4.0,<3.5.0` |
83
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
85
  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
@@ -105,22 +105,22 @@ Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, l
105
 
106
  | Type | Score |
107
  | --- | --- |
108
- | `TOKEN_ACC` | 99.95 |
109
  | `TOKEN_P` | 99.78 |
110
  | `TOKEN_R` | 99.75 |
111
  | `TOKEN_F` | 99.76 |
112
- | `POS_ACC` | 96.42 |
113
- | `MORPH_ACC` | 95.38 |
114
- | `MORPH_MICRO_P` | 97.06 |
115
- | `MORPH_MICRO_R` | 96.42 |
116
- | `MORPH_MICRO_F` | 96.74 |
117
- | `SENTS_P` | 91.04 |
118
- | `SENTS_R` | 90.07 |
119
- | `SENTS_F` | 90.55 |
120
- | `DEP_UAS` | 82.20 |
121
- | `DEP_LAS` | 78.17 |
122
- | `LEMMA_ACC` | 95.19 |
123
- | `TAG_ACC` | 96.42 |
124
- | `ENTS_P` | 81.61 |
125
- | `ENTS_R` | 82.29 |
126
- | `ENTS_F` | 81.95 |
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.800407332
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.81875
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8094747683
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9665859564
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9665859564
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
+ value: 0.9573849879
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.948377724
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.8225238813
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.7828612927
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.8869100623
73
  ---
74
  ### Details: https://spacy.io/models/da#da_core_news_lg
75
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `da_core_news_lg` |
81
+ | **Version** | `3.5.0` |
82
+ | **spaCy** | `>=3.5.0,<3.6.0` |
83
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
85
  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
105
 
106
  | Type | Score |
107
  | --- | --- |
108
+ | `TOKEN_ACC` | 99.89 |
109
  | `TOKEN_P` | 99.78 |
110
  | `TOKEN_R` | 99.75 |
111
  | `TOKEN_F` | 99.76 |
112
+ | `POS_ACC` | 96.66 |
113
+ | `MORPH_ACC` | 95.74 |
114
+ | `MORPH_MICRO_P` | 97.43 |
115
+ | `MORPH_MICRO_R` | 96.75 |
116
+ | `MORPH_MICRO_F` | 97.09 |
117
+ | `SENTS_P` | 89.09 |
118
+ | `SENTS_R` | 88.30 |
119
+ | `SENTS_F` | 88.69 |
120
+ | `DEP_UAS` | 82.25 |
121
+ | `DEP_LAS` | 78.29 |
122
+ | `LEMMA_ACC` | 94.84 |
123
+ | `TAG_ACC` | 96.66 |
124
+ | `ENTS_P` | 80.04 |
125
+ | `ENTS_R` | 81.88 |
126
+ | `ENTS_F` | 80.95 |
accuracy.json CHANGED
@@ -1,53 +1,53 @@
1
  {
2
- "token_acc": 0.9994672349,
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  "token_p": 0.9977732598,
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  "token_r": 0.9974835463,
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  "token_f": 0.997628382,
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- "pos_acc": 0.9641646489,
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- "morph_acc": 0.9538014528,
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- "morph_micro_p": 0.9705792683,
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- "morph_micro_r": 0.9641613245,
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- "morph_micro_f": 0.9673596516,
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  "morph_per_feat": {
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  "Mood": {
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- "p": 0.9789473684,
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- "r": 0.97521449,
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- "f": 0.9770773639
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  },
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  "Tense": {
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- "p": 0.9743396226,
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- "r": 0.9721385542,
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- "f": 0.973237844
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  },
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  "VerbForm": {
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- "p": 0.9649014778,
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- "r": 0.958996328,
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- "f": 0.9619398404
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  },
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  "Voice": {
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- "p": 0.9789631856,
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- "r": 0.9738415546,
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- "f": 0.9763956538
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  },
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  "Definite": {
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- "p": 0.9642147117,
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- "r": 0.9581193204,
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- "f": 0.9611573524
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  },
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  "Gender": {
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- "r": 0.9920424403,
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- "f": 0.9960053262
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  },
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  "PartType": {
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  "p": 1.0,
@@ -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": 0.9791666667,
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- "r": 0.9652448657,
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- "f": 0.9721559268
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  },
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  "Person": {
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- "f": 0.9848888889
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  },
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  "PronType": {
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- "p": 0.9868095631,
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- "r": 0.984375,
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- "f": 0.9855907781
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  },
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  "NumType": {
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- "p": 0.972972973,
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- "r": 0.9536423841,
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- "f": 0.9632107023
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  },
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  "Degree": {
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- "p": 0.9524969549,
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- "r": 0.9421686747,
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- "f": 0.9473046638
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  },
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  "Reflex": {
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  "p": 1.0,
@@ -110,146 +110,146 @@
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  "f": 1.0
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  },
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  "Polite": {
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- "p": 0.75,
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- "r": 0.75,
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- "f": 0.75
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  }
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  },
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- "sents_p": 0.9103942652,
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- "sents_r": 0.9007092199,
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- "sents_f": 0.9055258467,
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- "dep_uas": 0.8220111732,
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- "dep_las": 0.7817440366,
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  "dep_las_per_type": {
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  "advmod": {
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  "case": {
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  "cc": {
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- "f": 0.4
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  "advcl": {
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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,
@@ -257,14 +257,14 @@
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  "f": 0.0
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  "fixed": {
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  "expl": {
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  "appos": {
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  "p": 0.5862068966,
@@ -272,9 +272,9 @@
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  "f": 0.5483870968
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  },
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  "obl:tmod": {
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  "discourse": {
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  "p": 0.0,
@@ -287,32 +287,32 @@
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  "f": 0.0
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  }
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  },
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- "lemma_acc": 0.9518644068,
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- "tag_acc": 0.9641646489,
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- "ents_p": 0.8161157025,
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- "ents_r": 0.8229166667,
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- "ents_f": 0.8195020747,
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  "ents_per_type": {
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  "PER": {
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  "ORG": {
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  "MISC": {
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  "LOC": {
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  }
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  },
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- "speed": 12175.9946774514
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  }
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  "token_p": 0.9977732598,
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  "token_r": 0.9974835463,
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  "token_f": 0.997628382,
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+ "pos_acc": 0.9665859564,
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  "morph_per_feat": {
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  "Mood": {
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  "Tense": {
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  "VerbForm": {
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  "Voice": {
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  "Definite": {
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  "Gender": {
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  "Number": {
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  "AdpType": {
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  },
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  "PartType": {
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  "p": 1.0,
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  "f": 1.0
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  },
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  "Case": {
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  "Person": {
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  "PronType": {
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  "NumType": {
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  },
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  "Degree": {
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  },
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  "Reflex": {
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  "Polite": {
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  }
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  },
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+ "sents_p": 0.8908765653,
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+ "dep_uas": 0.8225238813,
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  "dep_las_per_type": {
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  "advmod": {
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