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spacy
/
fr_core_news_sm

Token Classification
spaCy
French
Eval Results
Model card Files Community
adrianeboyd commited on
Commit
4752428
•
1 Parent(s): 6185031

Update spaCy pipeline

Browse files
Files changed (12) hide show
  1. README.md +28 -28
  2. accuracy.json +168 -168
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +5 -4
  5. fr_core_news_sm-any-py3-none-any.whl +2 -2
  6. meta.json +171 -171
  7. morphologizer/model +1 -1
  8. ner/model +2 -2
  9. parser/model +1 -1
  10. senter/model +1 -1
  11. tok2vec/model +2 -2
  12. tokenizer +2 -2
README.md CHANGED
@@ -14,62 +14,62 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.812993431
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8100156119
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8115017896
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
- value: 0.9334226528
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
- value: 0.9620735855
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
- value: 0.952582208
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
- value: 0.9028976572
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
- value: 0.8742764529
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
- value: 0.8295618959
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
- value: 0.8719806763
73
  ---
74
  ### Details: https://spacy.io/models/fr#fr_core_news_sm
75
 
@@ -78,8 +78,8 @@ French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `fr_core_news_sm` |
81
- | **Version** | `3.4.0` |
82
- | **spaCy** | `>=3.4.0,<3.5.0` |
83
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
85
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -105,22 +105,22 @@ French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
105
 
106
  | Type | Score |
107
  | --- | --- |
108
- | `TOKEN_ACC` | 99.90 |
109
  | `TOKEN_P` | 98.44 |
110
  | `TOKEN_R` | 98.96 |
111
  | `TOKEN_F` | 98.70 |
112
- | `POS_ACC` | 96.21 |
113
- | `MORPH_ACC` | 95.26 |
114
- | `MORPH_MICRO_P` | 97.82 |
115
- | `MORPH_MICRO_R` | 96.71 |
116
- | `MORPH_MICRO_F` | 97.26 |
117
- | `SENTS_P` | 86.78 |
118
- | `SENTS_R` | 87.92 |
119
- | `SENTS_F` | 87.20 |
120
- | `DEP_UAS` | 87.43 |
121
- | `DEP_LAS` | 82.96 |
122
- | `TAG_ACC` | 93.34 |
123
- | `LEMMA_ACC` | 90.29 |
124
- | `ENTS_P` | 81.30 |
125
- | `ENTS_R` | 81.00 |
126
- | `ENTS_F` | 81.15 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8148438757
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8106360834
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8127345333
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.933216531
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9617644028
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
+ value: 0.9529502705
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.9084463625
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.8781984485
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.8347514036
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.861278649
73
  ---
74
  ### Details: https://spacy.io/models/fr#fr_core_news_sm
75
 
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `fr_core_news_sm` |
81
+ | **Version** | `3.5.0` |
82
+ | **spaCy** | `>=3.5.0,<3.6.0` |
83
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
85
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
105
 
106
  | Type | Score |
107
  | --- | --- |
108
+ | `TOKEN_ACC` | 99.80 |
109
  | `TOKEN_P` | 98.44 |
110
  | `TOKEN_R` | 98.96 |
111
  | `TOKEN_F` | 98.70 |
112
+ | `POS_ACC` | 96.18 |
113
+ | `MORPH_ACC` | 95.30 |
114
+ | `MORPH_MICRO_P` | 97.96 |
115
+ | `MORPH_MICRO_R` | 96.64 |
116
+ | `MORPH_MICRO_F` | 97.29 |
117
+ | `SENTS_P` | 85.61 |
118
+ | `SENTS_R` | 86.65 |
119
+ | `SENTS_F` | 86.13 |
120
+ | `DEP_UAS` | 87.82 |
121
+ | `DEP_LAS` | 83.48 |
122
+ | `TAG_ACC` | 93.32 |
123
+ | `LEMMA_ACC` | 90.84 |
124
+ | `ENTS_P` | 81.48 |
125
+ | `ENTS_R` | 81.06 |
126
+ | `ENTS_F` | 81.27 |
accuracy.json CHANGED
@@ -1,68 +1,68 @@
1
  {
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- "token_acc": 0.9989751998,
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  "token_p": 0.9844389844,
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  "token_r": 0.9896058454,
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  "token_f": 0.9870156531,
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- "pos_acc": 0.9620735855,
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- "morph_acc": 0.952582208,
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- "morph_micro_p": 0.978246133,
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- "morph_micro_r": 0.967101255,
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- "morph_micro_f": 0.9726417696,
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  "morph_per_feat": {
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  "Definite": {
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- "p": 0.9846378932,
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- "r": 0.9824817518,
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- "f": 0.9835586408
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  },
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  "Number": {
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- "p": 0.9907063197,
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- "r": 0.9812223859,
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- "f": 0.9859415464
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  },
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  "PronType": {
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- "p": 0.995483871,
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- "r": 0.9872040947,
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- "f": 0.9913266945
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  },
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  "Gender": {
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- "p": 0.9706563707,
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- "r": 0.9637107079,
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- "f": 0.9671710695
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  },
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  "Mood": {
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- "p": 0.9539594843,
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- "r": 0.920071048,
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- "f": 0.9367088608
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  },
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  "Person": {
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- "p": 0.9779507134,
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- "r": 0.948427673,
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- "f": 0.962962963
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  },
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  "Tense": {
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- "p": 0.9447916667,
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- "r": 0.9264555669,
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- "f": 0.9355337803
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  },
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  "VerbForm": {
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- "p": 0.9586846543,
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- "r": 0.9412251656,
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- "f": 0.9498746867
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  },
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  "NumType": {
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- "p": 0.9929328622,
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  "r": 0.9590443686,
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- "f": 0.9756944444
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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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  },
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  "Voice": {
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- "p": 0.8793103448,
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- "r": 0.9107142857,
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- "f": 0.8947368421
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  },
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  "Poss": {
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  "p": 1.0,
@@ -70,181 +70,181 @@
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  "f": 1.0
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  },
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  "Polarity": {
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- "p": 0.9882352941,
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  "r": 0.9882352941,
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- "f": 0.9882352941
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  }
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  },
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- "sents_p": 0.8677884615,
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- "sents_r": 0.8791762895,
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- "sents_f": 0.8719806763,
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- "dep_uas": 0.8742764529,
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- "dep_las": 0.8295618959,
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  "dep_las_per_type": {
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  "det": {
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- "p": 0.9675587997,
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  "r": 0.9628732849,
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- "f": 0.965210356
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  },
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  "nsubj": {
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- "p": 0.8341463415,
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- "r": 0.8240963855,
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- "f": 0.8290909091
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  },
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  "aux:tense": {
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- "p": 0.8976377953,
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- "r": 0.912,
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- "f": 0.9047619048
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  },
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  "root": {
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  "xcomp": {
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  "flat:name": {
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  "advmod": {
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  "nsubj:pass": {
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- "f": 0.8143712575
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  "aux:pass": {
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  "acl:relcl": {
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  "advcl": {
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- "p": 0.5057471264,
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  "fixed": {
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- "p": 0.8452380952,
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- "r": 0.71,
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  },
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  "dep": {
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- "p": 0.2777777778,
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- "r": 0.5172413793,
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- "f": 0.3614457831
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  },
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  "expl:subj": {
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- "p": 0.7647058824,
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- "r": 0.8125,
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- "f": 0.7878787879
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  },
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  "expl:comp": {
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- "p": 0.6666666667,
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- "r": 0.8666666667,
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- "f": 0.7536231884
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  },
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  "expl:pass": {
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- "p": 0.25,
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- "r": 0.1428571429,
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- "f": 0.1818181818
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- },
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- "obl:agent": {
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- "p": 0.8139534884,
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- "f": 0.8235294118
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  },
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  "ccomp": {
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- "p": 0.7391304348,
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- "r": 0.6666666667,
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- "f": 0.7010309278
 
 
 
 
 
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  },
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  "parataxis": {
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- "p": 0.5416666667,
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- "f": 0.5
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  },
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  "iobj": {
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- "p": 0.6,
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  "nsubj:caus": {
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  "p": 0.0,
@@ -267,9 +267,9 @@
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  "f": 0.0
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  },
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  "vocative": {
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- "p": 1.0,
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  "r": 0.625,
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- "f": 0.7692307692
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  },
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  "dislocated": {
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  "p": 0.0,
@@ -277,9 +277,9 @@
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  "f": 0.0
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  },
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  "flat:foreign": {
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- "p": 1.0,
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- "r": 0.2857142857,
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- "f": 0.4444444444
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  },
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  "orphan": {
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  "p": 0.0,
@@ -297,32 +297,32 @@
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  "f": 0.0
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  }
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  },
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- "tag_acc": 0.9334226528,
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- "lemma_acc": 0.9028976572,
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- "ents_p": 0.812993431,
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- "ents_r": 0.8100156119,
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- "ents_f": 0.8115017896,
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  "ents_per_type": {
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- "LOC": {
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- },
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  "PER": {
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- "p": 0.8687411598,
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- "f": 0.8743994021
 
 
 
 
 
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  },
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  "ORG": {
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  },
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  "MISC": {
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  }
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  },
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- "speed": 4128.958361591
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  }
 
1
  {
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+ "token_acc": 0.997952498,
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  "token_p": 0.9844389844,
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  "token_r": 0.9896058454,
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  "token_f": 0.9870156531,
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+ "pos_acc": 0.9617644028,
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+ "morph_acc": 0.9529502705,
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+ "morph_micro_p": 0.9796195652,
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+ "morph_micro_r": 0.9663701718,
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+ "morph_micro_f": 0.9729497638,
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  "morph_per_feat": {
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  "Definite": {
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  },
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  "Number": {
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  },
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  "PronType": {
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+ "p": 0.9935525467,
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+ "r": 0.9859245042,
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  },
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  "Gender": {
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+ "p": 0.9710519514,
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+ "r": 0.9601328904,
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+ "f": 0.9655615523
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  },
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  "Mood": {
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+ "p": 0.9597806216,
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+ "r": 0.9325044405,
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+ "f": 0.9459459459
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  },
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  "Person": {
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+ "p": 0.9818181818,
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+ "r": 0.9509433962,
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+ "f": 0.9661341853
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  },
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  "Tense": {
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+ "p": 0.9538784067,
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+ "f": 0.9415416451
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  },
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  "VerbForm": {
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  },
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  "NumType": {
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+ "p": 0.9790940767,
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  "r": 0.9590443686,
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+ "f": 0.9689655172
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  },
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  "Reflex": {
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+ "p": 0.9772727273,
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+ "f": 0.9772727273
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  },
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  "Voice": {
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  },
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  "Poss": {
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  "p": 1.0,
 
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  "f": 1.0
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  },
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  "Polarity": {
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+ "p": 1.0,
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  "r": 0.9882352941,
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+ "f": 0.9940828402
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  }
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  },
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+ "sents_p": 0.8561151079,
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+ "sents_r": 0.8665048544,
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+ "sents_f": 0.861278649,
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+ "dep_uas": 0.8781984485,
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+ "dep_las": 0.8347514036,
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  "dep_las_per_type": {
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  "det": {
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