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spacy
/
da_core_news_sm

Token Classification
spaCy
Danish
Eval Results
Model card Files
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Community
adrianeboyd commited on
Commit
c6d5b0f
·
1 Parent(s): 193ce8e

Update spaCy pipeline

Browse files
Files changed (14) hide show
  1. README.md +28 -28
  2. accuracy.json +164 -164
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +5 -4
  5. da_core_news_sm-any-py3-none-any.whl +2 -2
  6. lemmatizer/model +1 -1
  7. meta.json +167 -167
  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: 0.7570498915
18
  - name: NER Recall
19
  type: recall
20
- value: 0.7270833333
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.7417640808
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
- value: 0.9498765073
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
- value: 0.9498765073
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
- value: 0.9343341404
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
- value: 0.9449878935
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
- value: 0.7988826816
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
- value: 0.752849162
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
- value: 0.884097035
73
  ---
74
  ### Details: https://spacy.io/models/da#da_core_news_sm
75
 
@@ -78,8 +78,8 @@ Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, l
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `da_core_news_sm` |
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** | 0 keys, 0 unique vectors (0 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` | 94.99 |
113
- | `MORPH_ACC` | 93.43 |
114
- | `MORPH_MICRO_P` | 95.72 |
115
- | `MORPH_MICRO_R` | 94.69 |
116
- | `MORPH_MICRO_F` | 95.20 |
117
- | `SENTS_P` | 89.62 |
118
- | `SENTS_R` | 87.23 |
119
- | `SENTS_F` | 88.41 |
120
- | `DEP_UAS` | 79.89 |
121
- | `DEP_LAS` | 75.28 |
122
- | `LEMMA_ACC` | 94.50 |
123
- | `TAG_ACC` | 94.99 |
124
- | `ENTS_P` | 75.70 |
125
- | `ENTS_R` | 72.71 |
126
- | `ENTS_F` | 74.18 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7359307359
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.7083333333
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.7218683652
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9510387912
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9510387912
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
+ value: 0.9373819555
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.945472155
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.8102850755
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.7631770164
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.8890860692
73
  ---
74
  ### Details: https://spacy.io/models/da#da_core_news_sm
75
 
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `da_core_news_sm` |
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** | 0 keys, 0 unique vectors (0 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` | 95.10 |
113
+ | `MORPH_ACC` | 93.74 |
114
+ | `MORPH_MICRO_P` | 95.81 |
115
+ | `MORPH_MICRO_R` | 94.92 |
116
+ | `MORPH_MICRO_F` | 95.36 |
117
+ | `SENTS_P` | 88.99 |
118
+ | `SENTS_R` | 88.83 |
119
+ | `SENTS_F` | 88.91 |
120
+ | `DEP_UAS` | 81.03 |
121
+ | `DEP_LAS` | 76.32 |
122
+ | `LEMMA_ACC` | 94.55 |
123
+ | `TAG_ACC` | 95.10 |
124
+ | `ENTS_P` | 73.59 |
125
+ | `ENTS_R` | 70.83 |
126
+ | `ENTS_F` | 72.19 |
accuracy.json CHANGED
@@ -1,83 +1,83 @@
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  {
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- "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": 0.9498765073,
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- "morph_acc": 0.9343341404,
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- "morph_micro_p": 0.9571895091,
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- "morph_micro_r": 0.9468981879,
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- "morph_micro_f": 0.9520160369,
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  "morph_per_feat": {
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  "Mood": {
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- "p": 0.9656160458,
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- "r": 0.9637750238,
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- "f": 0.9646946565
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  },
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  "Tense": {
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- "p": 0.9488721805,
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- "r": 0.9503012048,
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- "f": 0.949586155
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  },
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  "VerbForm": {
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- "p": 0.9404176904,
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  "r": 0.9369645043,
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- "f": 0.9386879215
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  },
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  "Voice": {
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- "p": 0.9699924981,
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- "r": 0.966367713,
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- "f": 0.9681767128
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  },
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  "Definite": {
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- "p": 0.9533574588,
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- "r": 0.9367838799,
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- "f": 0.9449980072
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  },
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  "Gender": {
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- "r": 0.9255566633,
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  "Number": {
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  "PartType": {
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  "p": 1.0,
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- "r": 1.0,
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- "f": 1.0
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  },
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  "Case": {
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- "p": 0.9710144928,
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- "r": 0.9526066351,
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- "f": 0.961722488
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  },
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  "Person": {
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- "r": 0.9804618117,
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- "f": 0.9769911504
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  },
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  "PronType": {
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- "p": 0.9810231023,
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  "NumType": {
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- "p": 0.9930555556,
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- "r": 0.9470198675,
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  "Degree": {
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- "r": 0.9096385542,
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- "f": 0.9263803681
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  },
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  "Reflex": {
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  "p": 1.0,
@@ -94,162 +94,162 @@
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  "r": 1.0,
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  "f": 1.0
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  },
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- "Polite": {
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- "p": 0.6,
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- "r": 0.75,
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- "f": 0.6666666667
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- },
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  "Foreign": {
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- "p": 0.5,
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- "r": 0.3,
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- "f": 0.375
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  "Abbr": {
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- "p": 0.0,
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- "f": 0.0
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  },
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  "Style": {
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  "p": 1.0,
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  "r": 1.0,
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  "f": 1.0
 
 
 
 
 
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  }
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  },
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- "sents_p": 0.8961748634,
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- "sents_r": 0.8723404255,
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- "sents_f": 0.884097035,
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- "dep_uas": 0.7988826816,
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- "dep_las": 0.752849162,
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  "dep_las_per_type": {
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  "aux": {
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  "flat": {
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  "advcl": {
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  "mark": {
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  "cop": {
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  "dep": {
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- "p": 0.1397849462,
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  "r": 0.2452830189,
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  "xcomp": {
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  "list": {
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  "vocative": {
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  "p": 0.0,
@@ -257,24 +257,24 @@
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  "f": 0.0
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  },
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  "fixed": {
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- "p": 0.8888888889,
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- "r": 0.7804878049,
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- },
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- "expl": {
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  "appos": {
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- "f": 0.5423728814
 
 
 
 
 
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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": 0.9449878935,
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- "tag_acc": 0.9498765073,
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- "ents_p": 0.7570498915,
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  "ents_per_type": {
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  }
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  },
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- "speed": 13598.0305859988
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  }
 
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  {
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+ "token_acc": 0.9989350373,
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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": 0.9510387912,
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+ "morph_acc": 0.9373819555,
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+ "morph_micro_p": 0.9581167839,
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+ "morph_micro_r": 0.9491696532,
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+ "morph_micro_f": 0.9536222329,
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  "morph_per_feat": {
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  },
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  "Tense": {
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  },
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  "VerbForm": {
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  "r": 0.9369645043,
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  },
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  "Voice": {
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+ "p": 0.9721175584,
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  },
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  "Definite": {
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+ "p": 0.9476628046,
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+ "r": 0.9371789806,
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  },
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  "Gender": {
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+ "p": 0.9298128342,
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  },
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  "Number": {
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  },
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  "AdpType": {
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  "PartType": {
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  },
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  },
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  "Degree": {
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  },
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  "Reflex": {
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  "p": 1.0,
 
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  "r": 1.0,
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  "f": 1.0
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