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KoichiYasuoka
/
modernbert-base-classical-chinese-ud-square

Token Classification
PyTorch
Literary Chinese
modernbert
classical chinese
literary chinese
ancient chinese
pos
dependency-parsing
Model card Files Community
1
KoichiYasuoka commited on
Commit
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·
1 Parent(s): e7795de

initial release

Browse files
Files changed (9) hide show
  1. README.md +33 -0
  2. config.json +2421 -0
  3. maker.py +97 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +37 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +68 -0
  8. ud.py +126 -0
  9. vocab.txt +0 -0
README.md ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - "lzh"
4
+ tags:
5
+ - "classical chinese"
6
+ - "literary chinese"
7
+ - "ancient chinese"
8
+ - "token-classification"
9
+ - "pos"
10
+ - "dependency-parsing"
11
+ base_model: KoichiYasuoka/modernbert-base-classical-chinese
12
+ datasets:
13
+ - "universal_dependencies"
14
+ license: "apache-2.0"
15
+ pipeline_tag: "token-classification"
16
+ widget:
17
+ - text: "孟子見梁惠王"
18
+ ---
19
+
20
+ # modernbert-base-classical-chinese-ud-square
21
+
22
+ ## Model Description
23
+
24
+ This is a ModernBERT model pretrained on Classical Chinese texts for POS-tagging and dependency-parsing (using `goeswith` for subwords), derived from [modernbert-base-classical-chinese](https://huggingface.co/KoichiYasuoka/modernbert-base-classical-chinese) and [UD_Classical_Chinese-Kyoto](https://github.com/UniversalDependencies/UD_Classical_Chinese-Kyoto).
25
+
26
+ ## How to Use
27
+
28
+ ```py
29
+ from transformers import pipeline
30
+ nlp=pipeline("universal-dependencies","KoichiYasuoka/modernbert-base-classical-chinese-ud-square",trust_remote_code=True,aggregation_strategy="simple")
31
+ print(nlp("孟子見梁惠王"))
32
+ ```
33
+
config.json ADDED
@@ -0,0 +1,2421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "ModernBertForTokenClassification"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 0,
8
+ "classifier_activation": "gelu",
9
+ "classifier_bias": false,
10
+ "classifier_dropout": 0.0,
11
+ "classifier_pooling": "mean",
12
+ "cls_token_id": 0,
13
+ "custom_pipelines": {
14
+ "universal-dependencies": {
15
+ "impl": "ud.UniversalDependenciesPipeline",
16
+ "pt": "AutoModelForTokenClassification"
17
+ }
18
+ },
19
+ "decoder_bias": true,
20
+ "deterministic_flash_attn": false,
21
+ "embedding_dropout": 0.0,
22
+ "eos_token_id": 2,
23
+ "global_attn_every_n_layers": 3,
24
+ "global_rope_theta": 160000.0,
25
+ "gradient_checkpointing": false,
26
+ "hidden_activation": "gelu",
27
+ "hidden_size": 768,
28
+ "id2label": {
29
+ "0": "ADP",
30
+ "1": "ADP.",
31
+ "2": "ADP.|Degree=Equ",
32
+ "3": "ADP.|Degree=Equ|[cc]",
33
+ "4": "ADP.|[acl]",
34
+ "5": "ADP.|[advcl]",
35
+ "6": "ADP.|[amod]",
36
+ "7": "ADP.|[case]",
37
+ "8": "ADP.|[cc]",
38
+ "9": "ADP.|[conj]",
39
+ "10": "ADP.|[fixed]",
40
+ "11": "ADP.|[mark]",
41
+ "12": "ADP.|[nsubj]",
42
+ "13": "ADP.|[obj]",
43
+ "14": "ADP.|[obl]",
44
+ "15": "ADP.|[root]",
45
+ "16": "ADP|Degree=Equ",
46
+ "17": "ADP|Degree=Equ|[cc]",
47
+ "18": "ADP|[acl]",
48
+ "19": "ADP|[advcl]",
49
+ "20": "ADP|[amod]",
50
+ "21": "ADP|[case]",
51
+ "22": "ADP|[cc]",
52
+ "23": "ADP|[conj]",
53
+ "24": "ADP|[fixed]",
54
+ "25": "ADP|[mark]",
55
+ "26": "ADP|[nsubj]",
56
+ "27": "ADP|[obj]",
57
+ "28": "ADP|[obl]",
58
+ "29": "ADP|[root]",
59
+ "30": "ADV",
60
+ "31": "ADV.",
61
+ "32": "ADV.|AdvType=Cau",
62
+ "33": "ADV.|AdvType=Cau|[advmod]",
63
+ "34": "ADV.|AdvType=Cau|[amod]",
64
+ "35": "ADV.|AdvType=Cau|[nsubj]",
65
+ "36": "ADV.|AdvType=Cau|[obj]",
66
+ "37": "ADV.|AdvType=Deg|Degree=Cmp",
67
+ "38": "ADV.|AdvType=Deg|Degree=Cmp|[advmod]",
68
+ "39": "ADV.|AdvType=Deg|Degree=Cmp|[amod]",
69
+ "40": "ADV.|AdvType=Deg|Degree=Cmp|[conj]",
70
+ "41": "ADV.|AdvType=Deg|Degree=Cmp|[obj]",
71
+ "42": "ADV.|AdvType=Deg|Degree=Pos",
72
+ "43": "ADV.|AdvType=Deg|Degree=Pos|[advmod]",
73
+ "44": "ADV.|AdvType=Deg|Degree=Pos|[amod]",
74
+ "45": "ADV.|AdvType=Deg|Degree=Pos|[ccomp]",
75
+ "46": "ADV.|AdvType=Deg|Degree=Pos|[conj]",
76
+ "47": "ADV.|AdvType=Deg|Degree=Pos|[flat:vv]",
77
+ "48": "ADV.|AdvType=Deg|Degree=Pos|[parataxis]",
78
+ "49": "ADV.|AdvType=Deg|Degree=Pos|[root]",
79
+ "50": "ADV.|AdvType=Deg|Degree=Sup",
80
+ "51": "ADV.|AdvType=Deg|Degree=Sup|[advmod]",
81
+ "52": "ADV.|AdvType=Deg|Degree=Sup|[amod]",
82
+ "53": "ADV.|AdvType=Deg|Degree=Sup|[conj]",
83
+ "54": "ADV.|AdvType=Deg|Degree=Sup|[nsubj]",
84
+ "55": "ADV.|AdvType=Deg|Degree=Sup|[parataxis]",
85
+ "56": "ADV.|AdvType=Deg|Degree=Sup|[root]",
86
+ "57": "ADV.|AdvType=Tim",
87
+ "58": "ADV.|AdvType=Tim|Aspect=Perf",
88
+ "59": "ADV.|AdvType=Tim|Aspect=Perf|[advmod]",
89
+ "60": "ADV.|AdvType=Tim|Aspect=Perf|[amod]",
90
+ "61": "ADV.|AdvType=Tim|Aspect=Perf|[obl:lmod]",
91
+ "62": "ADV.|AdvType=Tim|Aspect=Perf|[parataxis]",
92
+ "63": "ADV.|AdvType=Tim|Aspect=Perf|[root]",
93
+ "64": "ADV.|AdvType=Tim|Tense=Fut",
94
+ "65": "ADV.|AdvType=Tim|Tense=Fut|[advmod]",
95
+ "66": "ADV.|AdvType=Tim|Tense=Fut|[amod]",
96
+ "67": "ADV.|AdvType=Tim|Tense=Fut|[nsubj:outer]",
97
+ "68": "ADV.|AdvType=Tim|Tense=Fut|[nsubj]",
98
+ "69": "ADV.|AdvType=Tim|Tense=Fut|[root]",
99
+ "70": "ADV.|AdvType=Tim|Tense=Past",
100
+ "71": "ADV.|AdvType=Tim|Tense=Past|[advmod]",
101
+ "72": "ADV.|AdvType=Tim|Tense=Past|[amod]",
102
+ "73": "ADV.|AdvType=Tim|Tense=Pres",
103
+ "74": "ADV.|AdvType=Tim|Tense=Pres|[advmod]",
104
+ "75": "ADV.|AdvType=Tim|Tense=Pres|[amod]",
105
+ "76": "ADV.|AdvType=Tim|Tense=Pres|[root]",
106
+ "77": "ADV.|AdvType=Tim|[advcl]",
107
+ "78": "ADV.|AdvType=Tim|[advmod]",
108
+ "79": "ADV.|AdvType=Tim|[amod]",
109
+ "80": "ADV.|AdvType=Tim|[ccomp]",
110
+ "81": "ADV.|AdvType=Tim|[compound:redup]",
111
+ "82": "ADV.|AdvType=Tim|[conj]",
112
+ "83": "ADV.|AdvType=Tim|[flat:vv]",
113
+ "84": "ADV.|AdvType=Tim|[nsubj]",
114
+ "85": "ADV.|AdvType=Tim|[parataxis]",
115
+ "86": "ADV.|AdvType=Tim|[root]",
116
+ "87": "ADV.|Degree=Equ|VerbForm=Conv",
117
+ "88": "ADV.|Degree=Equ|VerbForm=Conv|[advmod]",
118
+ "89": "ADV.|Degree=Pos|VerbForm=Conv",
119
+ "90": "ADV.|Degree=Pos|VerbForm=Conv|[advmod]",
120
+ "91": "ADV.|Polarity=Neg",
121
+ "92": "ADV.|Polarity=Neg|VerbForm=Conv",
122
+ "93": "ADV.|Polarity=Neg|VerbForm=Conv|[advmod]",
123
+ "94": "ADV.|Polarity=Neg|[advmod]",
124
+ "95": "ADV.|Polarity=Neg|[amod]",
125
+ "96": "ADV.|Polarity=Neg|[conj]",
126
+ "97": "ADV.|Polarity=Neg|[nsubj]",
127
+ "98": "ADV.|Polarity=Neg|[obj]",
128
+ "99": "ADV.|Polarity=Neg|[parataxis]",
129
+ "100": "ADV.|Polarity=Neg|[root]",
130
+ "101": "ADV.|VerbForm=Conv",
131
+ "102": "ADV.|VerbForm=Conv|[advmod]",
132
+ "103": "ADV.|[acl]",
133
+ "104": "ADV.|[advcl]",
134
+ "105": "ADV.|[advmod]",
135
+ "106": "ADV.|[amod]",
136
+ "107": "ADV.|[cc]",
137
+ "108": "ADV.|[ccomp]",
138
+ "109": "ADV.|[conj]",
139
+ "110": "ADV.|[flat:vv]",
140
+ "111": "ADV.|[nsubj]",
141
+ "112": "ADV.|[obj]",
142
+ "113": "ADV.|[root]",
143
+ "114": "ADV|AdvType=Cau",
144
+ "115": "ADV|AdvType=Cau|[advmod]",
145
+ "116": "ADV|AdvType=Cau|[amod]",
146
+ "117": "ADV|AdvType=Cau|[nsubj]",
147
+ "118": "ADV|AdvType=Cau|[obj]",
148
+ "119": "ADV|AdvType=Deg|Degree=Cmp",
149
+ "120": "ADV|AdvType=Deg|Degree=Cmp|[advmod]",
150
+ "121": "ADV|AdvType=Deg|Degree=Cmp|[amod]",
151
+ "122": "ADV|AdvType=Deg|Degree=Cmp|[conj]",
152
+ "123": "ADV|AdvType=Deg|Degree=Cmp|[obj]",
153
+ "124": "ADV|AdvType=Deg|Degree=Pos",
154
+ "125": "ADV|AdvType=Deg|Degree=Pos|[advmod]",
155
+ "126": "ADV|AdvType=Deg|Degree=Pos|[amod]",
156
+ "127": "ADV|AdvType=Deg|Degree=Pos|[ccomp]",
157
+ "128": "ADV|AdvType=Deg|Degree=Pos|[conj]",
158
+ "129": "ADV|AdvType=Deg|Degree=Pos|[flat:vv]",
159
+ "130": "ADV|AdvType=Deg|Degree=Pos|[parataxis]",
160
+ "131": "ADV|AdvType=Deg|Degree=Pos|[root]",
161
+ "132": "ADV|AdvType=Deg|Degree=Sup",
162
+ "133": "ADV|AdvType=Deg|Degree=Sup|[advmod]",
163
+ "134": "ADV|AdvType=Deg|Degree=Sup|[amod]",
164
+ "135": "ADV|AdvType=Deg|Degree=Sup|[conj]",
165
+ "136": "ADV|AdvType=Deg|Degree=Sup|[nsubj]",
166
+ "137": "ADV|AdvType=Deg|Degree=Sup|[parataxis]",
167
+ "138": "ADV|AdvType=Deg|Degree=Sup|[root]",
168
+ "139": "ADV|AdvType=Tim",
169
+ "140": "ADV|AdvType=Tim|Aspect=Perf",
170
+ "141": "ADV|AdvType=Tim|Aspect=Perf|[advmod]",
171
+ "142": "ADV|AdvType=Tim|Aspect=Perf|[amod]",
172
+ "143": "ADV|AdvType=Tim|Aspect=Perf|[obl:lmod]",
173
+ "144": "ADV|AdvType=Tim|Aspect=Perf|[parataxis]",
174
+ "145": "ADV|AdvType=Tim|Aspect=Perf|[root]",
175
+ "146": "ADV|AdvType=Tim|Tense=Fut",
176
+ "147": "ADV|AdvType=Tim|Tense=Fut|[advmod]",
177
+ "148": "ADV|AdvType=Tim|Tense=Fut|[amod]",
178
+ "149": "ADV|AdvType=Tim|Tense=Fut|[nsubj:outer]",
179
+ "150": "ADV|AdvType=Tim|Tense=Fut|[nsubj]",
180
+ "151": "ADV|AdvType=Tim|Tense=Fut|[root]",
181
+ "152": "ADV|AdvType=Tim|Tense=Past",
182
+ "153": "ADV|AdvType=Tim|Tense=Past|[advmod]",
183
+ "154": "ADV|AdvType=Tim|Tense=Past|[amod]",
184
+ "155": "ADV|AdvType=Tim|Tense=Pres",
185
+ "156": "ADV|AdvType=Tim|Tense=Pres|[advmod]",
186
+ "157": "ADV|AdvType=Tim|Tense=Pres|[amod]",
187
+ "158": "ADV|AdvType=Tim|Tense=Pres|[root]",
188
+ "159": "ADV|AdvType=Tim|[advcl]",
189
+ "160": "ADV|AdvType=Tim|[advmod]",
190
+ "161": "ADV|AdvType=Tim|[amod]",
191
+ "162": "ADV|AdvType=Tim|[ccomp]",
192
+ "163": "ADV|AdvType=Tim|[compound:redup]",
193
+ "164": "ADV|AdvType=Tim|[conj]",
194
+ "165": "ADV|AdvType=Tim|[flat:vv]",
195
+ "166": "ADV|AdvType=Tim|[nsubj]",
196
+ "167": "ADV|AdvType=Tim|[parataxis]",
197
+ "168": "ADV|AdvType=Tim|[root]",
198
+ "169": "ADV|Degree=Equ|VerbForm=Conv",
199
+ "170": "ADV|Degree=Equ|VerbForm=Conv|[advmod]",
200
+ "171": "ADV|Degree=Pos|VerbForm=Conv",
201
+ "172": "ADV|Degree=Pos|VerbForm=Conv|[advmod]",
202
+ "173": "ADV|Polarity=Neg",
203
+ "174": "ADV|Polarity=Neg|VerbForm=Conv",
204
+ "175": "ADV|Polarity=Neg|VerbForm=Conv|[advmod]",
205
+ "176": "ADV|Polarity=Neg|[advmod]",
206
+ "177": "ADV|Polarity=Neg|[amod]",
207
+ "178": "ADV|Polarity=Neg|[conj]",
208
+ "179": "ADV|Polarity=Neg|[nsubj]",
209
+ "180": "ADV|Polarity=Neg|[obj]",
210
+ "181": "ADV|Polarity=Neg|[parataxis]",
211
+ "182": "ADV|Polarity=Neg|[root]",
212
+ "183": "ADV|VerbForm=Conv",
213
+ "184": "ADV|VerbForm=Conv|[advmod]",
214
+ "185": "ADV|[acl]",
215
+ "186": "ADV|[advcl]",
216
+ "187": "ADV|[advmod]",
217
+ "188": "ADV|[amod]",
218
+ "189": "ADV|[cc]",
219
+ "190": "ADV|[ccomp]",
220
+ "191": "ADV|[conj]",
221
+ "192": "ADV|[flat:vv]",
222
+ "193": "ADV|[nsubj]",
223
+ "194": "ADV|[obj]",
224
+ "195": "ADV|[root]",
225
+ "196": "AUX.|Mood=Des",
226
+ "197": "AUX.|Mood=Des|[aux]",
227
+ "198": "AUX.|Mood=Des|[ccomp]",
228
+ "199": "AUX.|Mood=Des|[conj]",
229
+ "200": "AUX.|Mood=Des|[csubj]",
230
+ "201": "AUX.|Mood=Des|[flat:vv]",
231
+ "202": "AUX.|Mood=Des|[parataxis]",
232
+ "203": "AUX.|Mood=Des|[root]",
233
+ "204": "AUX.|Mood=Nec",
234
+ "205": "AUX.|Mood=Nec|[acl]",
235
+ "206": "AUX.|Mood=Nec|[amod]",
236
+ "207": "AUX.|Mood=Nec|[aux]",
237
+ "208": "AUX.|Mood=Nec|[root]",
238
+ "209": "AUX.|Mood=Pot",
239
+ "210": "AUX.|Mood=Pot|[acl]",
240
+ "211": "AUX.|Mood=Pot|[advcl]",
241
+ "212": "AUX.|Mood=Pot|[amod]",
242
+ "213": "AUX.|Mood=Pot|[aux]",
243
+ "214": "AUX.|Mood=Pot|[ccomp]",
244
+ "215": "AUX.|Mood=Pot|[conj]",
245
+ "216": "AUX.|Mood=Pot|[csubj]",
246
+ "217": "AUX.|Mood=Pot|[nsubj]",
247
+ "218": "AUX.|Mood=Pot|[obj]",
248
+ "219": "AUX.|Mood=Pot|[parataxis]",
249
+ "220": "AUX.|Mood=Pot|[root]",
250
+ "221": "AUX.|Mood=Pot|[xcomp]",
251
+ "222": "AUX.|VerbType=Cop",
252
+ "223": "AUX.|VerbType=Cop|[cop]",
253
+ "224": "AUX.|Voice=Pass",
254
+ "225": "AUX.|Voice=Pass|[aux]",
255
+ "226": "AUX.|Voice=Pass|[conj]",
256
+ "227": "AUX.|Voice=Pass|[root]",
257
+ "228": "AUX|Mood=Des",
258
+ "229": "AUX|Mood=Des|[aux]",
259
+ "230": "AUX|Mood=Des|[ccomp]",
260
+ "231": "AUX|Mood=Des|[conj]",
261
+ "232": "AUX|Mood=Des|[csubj]",
262
+ "233": "AUX|Mood=Des|[flat:vv]",
263
+ "234": "AUX|Mood=Des|[parataxis]",
264
+ "235": "AUX|Mood=Des|[root]",
265
+ "236": "AUX|Mood=Nec",
266
+ "237": "AUX|Mood=Nec|[acl]",
267
+ "238": "AUX|Mood=Nec|[amod]",
268
+ "239": "AUX|Mood=Nec|[aux]",
269
+ "240": "AUX|Mood=Nec|[root]",
270
+ "241": "AUX|Mood=Pot",
271
+ "242": "AUX|Mood=Pot|[acl]",
272
+ "243": "AUX|Mood=Pot|[advcl]",
273
+ "244": "AUX|Mood=Pot|[amod]",
274
+ "245": "AUX|Mood=Pot|[aux]",
275
+ "246": "AUX|Mood=Pot|[ccomp]",
276
+ "247": "AUX|Mood=Pot|[conj]",
277
+ "248": "AUX|Mood=Pot|[csubj]",
278
+ "249": "AUX|Mood=Pot|[nsubj]",
279
+ "250": "AUX|Mood=Pot|[obj]",
280
+ "251": "AUX|Mood=Pot|[parataxis]",
281
+ "252": "AUX|Mood=Pot|[root]",
282
+ "253": "AUX|Mood=Pot|[xcomp]",
283
+ "254": "AUX|VerbType=Cop",
284
+ "255": "AUX|VerbType=Cop|[cop]",
285
+ "256": "AUX|Voice=Pass",
286
+ "257": "AUX|Voice=Pass|[aux]",
287
+ "258": "AUX|Voice=Pass|[conj]",
288
+ "259": "AUX|Voice=Pass|[root]",
289
+ "260": "CCONJ",
290
+ "261": "CCONJ.",
291
+ "262": "CCONJ.|[advmod]",
292
+ "263": "CCONJ.|[amod]",
293
+ "264": "CCONJ.|[cc]",
294
+ "265": "CCONJ.|[fixed]",
295
+ "266": "CCONJ.|[obj]",
296
+ "267": "CCONJ.|[orphan]",
297
+ "268": "CCONJ|[advmod]",
298
+ "269": "CCONJ|[amod]",
299
+ "270": "CCONJ|[cc]",
300
+ "271": "CCONJ|[fixed]",
301
+ "272": "CCONJ|[obj]",
302
+ "273": "CCONJ|[orphan]",
303
+ "274": "INTJ",
304
+ "275": "INTJ.",
305
+ "276": "INTJ.|[advcl]",
306
+ "277": "INTJ.|[compound:redup]",
307
+ "278": "INTJ.|[conj]",
308
+ "279": "INTJ.|[csubj]",
309
+ "280": "INTJ.|[discourse:sp]",
310
+ "281": "INTJ.|[discourse]",
311
+ "282": "INTJ.|[dislocated]",
312
+ "283": "INTJ.|[fixed]",
313
+ "284": "INTJ.|[nsubj]",
314
+ "285": "INTJ.|[obj]",
315
+ "286": "INTJ.|[parataxis]",
316
+ "287": "INTJ.|[root]",
317
+ "288": "INTJ.|[vocative]",
318
+ "289": "INTJ|[advcl]",
319
+ "290": "INTJ|[compound:redup]",
320
+ "291": "INTJ|[conj]",
321
+ "292": "INTJ|[csubj]",
322
+ "293": "INTJ|[discourse:sp]",
323
+ "294": "INTJ|[discourse]",
324
+ "295": "INTJ|[dislocated]",
325
+ "296": "INTJ|[fixed]",
326
+ "297": "INTJ|[nsubj]",
327
+ "298": "INTJ|[obj]",
328
+ "299": "INTJ|[parataxis]",
329
+ "300": "INTJ|[root]",
330
+ "301": "INTJ|[vocative]",
331
+ "302": "NOUN",
332
+ "303": "NOUN.",
333
+ "304": "NOUN.|Case=Loc",
334
+ "305": "NOUN.|Case=Loc|[acl]",
335
+ "306": "NOUN.|Case=Loc|[advcl]",
336
+ "307": "NOUN.|Case=Loc|[amod]",
337
+ "308": "NOUN.|Case=Loc|[ccomp]",
338
+ "309": "NOUN.|Case=Loc|[clf]",
339
+ "310": "NOUN.|Case=Loc|[compound:redup]",
340
+ "311": "NOUN.|Case=Loc|[compound]",
341
+ "312": "NOUN.|Case=Loc|[conj]",
342
+ "313": "NOUN.|Case=Loc|[csubj]",
343
+ "314": "NOUN.|Case=Loc|[dislocated]",
344
+ "315": "NOUN.|Case=Loc|[flat]",
345
+ "316": "NOUN.|Case=Loc|[iobj]",
346
+ "317": "NOUN.|Case=Loc|[list]",
347
+ "318": "NOUN.|Case=Loc|[nmod]",
348
+ "319": "NOUN.|Case=Loc|[nsubj:outer]",
349
+ "320": "NOUN.|Case=Loc|[nsubj]",
350
+ "321": "NOUN.|Case=Loc|[obj]",
351
+ "322": "NOUN.|Case=Loc|[obl:lmod]",
352
+ "323": "NOUN.|Case=Loc|[obl:tmod]",
353
+ "324": "NOUN.|Case=Loc|[obl]",
354
+ "325": "NOUN.|Case=Loc|[parataxis]",
355
+ "326": "NOUN.|Case=Loc|[root]",
356
+ "327": "NOUN.|Case=Loc|[xcomp]",
357
+ "328": "NOUN.|Case=Tem",
358
+ "329": "NOUN.|Case=Tem|[acl]",
359
+ "330": "NOUN.|Case=Tem|[advcl]",
360
+ "331": "NOUN.|Case=Tem|[amod]",
361
+ "332": "NOUN.|Case=Tem|[ccomp]",
362
+ "333": "NOUN.|Case=Tem|[clf]",
363
+ "334": "NOUN.|Case=Tem|[compound:redup]",
364
+ "335": "NOUN.|Case=Tem|[compound]",
365
+ "336": "NOUN.|Case=Tem|[conj]",
366
+ "337": "NOUN.|Case=Tem|[csubj]",
367
+ "338": "NOUN.|Case=Tem|[flat]",
368
+ "339": "NOUN.|Case=Tem|[iobj]",
369
+ "340": "NOUN.|Case=Tem|[list]",
370
+ "341": "NOUN.|Case=Tem|[nmod]",
371
+ "342": "NOUN.|Case=Tem|[nsubj:outer]",
372
+ "343": "NOUN.|Case=Tem|[nsubj]",
373
+ "344": "NOUN.|Case=Tem|[obj]",
374
+ "345": "NOUN.|Case=Tem|[obl:tmod]",
375
+ "346": "NOUN.|Case=Tem|[parataxis]",
376
+ "347": "NOUN.|Case=Tem|[root]",
377
+ "348": "NOUN.|Case=Tem|[xcomp]",
378
+ "349": "NOUN.|Degree=Pos",
379
+ "350": "NOUN.|Degree=Pos|[root]",
380
+ "351": "NOUN.|NounType=Clf",
381
+ "352": "NOUN.|NounType=Clf|[ccomp]",
382
+ "353": "NOUN.|NounType=Clf|[clf]",
383
+ "354": "NOUN.|NounType=Clf|[compound:redup]",
384
+ "355": "NOUN.|NounType=Clf|[conj]",
385
+ "356": "NOUN.|NounType=Clf|[flat]",
386
+ "357": "NOUN.|NounType=Clf|[nmod]",
387
+ "358": "NOUN.|NounType=Clf|[nsubj]",
388
+ "359": "NOUN.|NounType=Clf|[obj]",
389
+ "360": "NOUN.|NounType=Clf|[obl]",
390
+ "361": "NOUN.|NounType=Clf|[parataxis]",
391
+ "362": "NOUN.|NounType=Clf|[root]",
392
+ "363": "NOUN.|[acl]",
393
+ "364": "NOUN.|[advcl]",
394
+ "365": "NOUN.|[amod]",
395
+ "366": "NOUN.|[ccomp]",
396
+ "367": "NOUN.|[clf]",
397
+ "368": "NOUN.|[compound:redup]",
398
+ "369": "NOUN.|[compound]",
399
+ "370": "NOUN.|[conj]",
400
+ "371": "NOUN.|[csubj:outer]",
401
+ "372": "NOUN.|[csubj]",
402
+ "373": "NOUN.|[dislocated]",
403
+ "374": "NOUN.|[flat:foreign]",
404
+ "375": "NOUN.|[flat]",
405
+ "376": "NOUN.|[iobj]",
406
+ "377": "NOUN.|[list]",
407
+ "378": "NOUN.|[nmod]",
408
+ "379": "NOUN.|[nsubj:outer]",
409
+ "380": "NOUN.|[nsubj:pass]",
410
+ "381": "NOUN.|[nsubj]",
411
+ "382": "NOUN.|[obj]",
412
+ "383": "NOUN.|[obl:lmod]",
413
+ "384": "NOUN.|[obl:tmod]",
414
+ "385": "NOUN.|[obl]",
415
+ "386": "NOUN.|[parataxis]",
416
+ "387": "NOUN.|[root]",
417
+ "388": "NOUN.|[vocative]",
418
+ "389": "NOUN.|[xcomp]",
419
+ "390": "NOUN|Case=Loc",
420
+ "391": "NOUN|Case=Loc|[acl]",
421
+ "392": "NOUN|Case=Loc|[advcl]",
422
+ "393": "NOUN|Case=Loc|[amod]",
423
+ "394": "NOUN|Case=Loc|[ccomp]",
424
+ "395": "NOUN|Case=Loc|[clf]",
425
+ "396": "NOUN|Case=Loc|[compound:redup]",
426
+ "397": "NOUN|Case=Loc|[compound]",
427
+ "398": "NOUN|Case=Loc|[conj]",
428
+ "399": "NOUN|Case=Loc|[csubj]",
429
+ "400": "NOUN|Case=Loc|[dislocated]",
430
+ "401": "NOUN|Case=Loc|[flat]",
431
+ "402": "NOUN|Case=Loc|[iobj]",
432
+ "403": "NOUN|Case=Loc|[list]",
433
+ "404": "NOUN|Case=Loc|[nmod]",
434
+ "405": "NOUN|Case=Loc|[nsubj:outer]",
435
+ "406": "NOUN|Case=Loc|[nsubj]",
436
+ "407": "NOUN|Case=Loc|[obj]",
437
+ "408": "NOUN|Case=Loc|[obl:lmod]",
438
+ "409": "NOUN|Case=Loc|[obl:tmod]",
439
+ "410": "NOUN|Case=Loc|[obl]",
440
+ "411": "NOUN|Case=Loc|[parataxis]",
441
+ "412": "NOUN|Case=Loc|[root]",
442
+ "413": "NOUN|Case=Loc|[xcomp]",
443
+ "414": "NOUN|Case=Tem",
444
+ "415": "NOUN|Case=Tem|[acl]",
445
+ "416": "NOUN|Case=Tem|[advcl]",
446
+ "417": "NOUN|Case=Tem|[amod]",
447
+ "418": "NOUN|Case=Tem|[ccomp]",
448
+ "419": "NOUN|Case=Tem|[clf]",
449
+ "420": "NOUN|Case=Tem|[compound:redup]",
450
+ "421": "NOUN|Case=Tem|[compound]",
451
+ "422": "NOUN|Case=Tem|[conj]",
452
+ "423": "NOUN|Case=Tem|[csubj]",
453
+ "424": "NOUN|Case=Tem|[flat]",
454
+ "425": "NOUN|Case=Tem|[iobj]",
455
+ "426": "NOUN|Case=Tem|[list]",
456
+ "427": "NOUN|Case=Tem|[nmod]",
457
+ "428": "NOUN|Case=Tem|[nsubj:outer]",
458
+ "429": "NOUN|Case=Tem|[nsubj]",
459
+ "430": "NOUN|Case=Tem|[obj]",
460
+ "431": "NOUN|Case=Tem|[obl:tmod]",
461
+ "432": "NOUN|Case=Tem|[parataxis]",
462
+ "433": "NOUN|Case=Tem|[root]",
463
+ "434": "NOUN|Case=Tem|[xcomp]",
464
+ "435": "NOUN|Degree=Pos",
465
+ "436": "NOUN|Degree=Pos|[root]",
466
+ "437": "NOUN|NounType=Clf",
467
+ "438": "NOUN|NounType=Clf|[ccomp]",
468
+ "439": "NOUN|NounType=Clf|[clf]",
469
+ "440": "NOUN|NounType=Clf|[compound:redup]",
470
+ "441": "NOUN|NounType=Clf|[conj]",
471
+ "442": "NOUN|NounType=Clf|[flat]",
472
+ "443": "NOUN|NounType=Clf|[nmod]",
473
+ "444": "NOUN|NounType=Clf|[nsubj]",
474
+ "445": "NOUN|NounType=Clf|[obj]",
475
+ "446": "NOUN|NounType=Clf|[obl]",
476
+ "447": "NOUN|NounType=Clf|[parataxis]",
477
+ "448": "NOUN|NounType=Clf|[root]",
478
+ "449": "NOUN|[acl]",
479
+ "450": "NOUN|[advcl]",
480
+ "451": "NOUN|[amod]",
481
+ "452": "NOUN|[ccomp]",
482
+ "453": "NOUN|[clf]",
483
+ "454": "NOUN|[compound:redup]",
484
+ "455": "NOUN|[compound]",
485
+ "456": "NOUN|[conj]",
486
+ "457": "NOUN|[csubj:outer]",
487
+ "458": "NOUN|[csubj]",
488
+ "459": "NOUN|[dislocated]",
489
+ "460": "NOUN|[flat:foreign]",
490
+ "461": "NOUN|[flat]",
491
+ "462": "NOUN|[iobj]",
492
+ "463": "NOUN|[list]",
493
+ "464": "NOUN|[nmod]",
494
+ "465": "NOUN|[nsubj:outer]",
495
+ "466": "NOUN|[nsubj:pass]",
496
+ "467": "NOUN|[nsubj]",
497
+ "468": "NOUN|[obj]",
498
+ "469": "NOUN|[obl:lmod]",
499
+ "470": "NOUN|[obl:tmod]",
500
+ "471": "NOUN|[obl]",
501
+ "472": "NOUN|[parataxis]",
502
+ "473": "NOUN|[root]",
503
+ "474": "NOUN|[vocative]",
504
+ "475": "NOUN|[xcomp]",
505
+ "476": "NUM",
506
+ "477": "NUM.",
507
+ "478": "NUM.|NumType=Ord",
508
+ "479": "NUM.|NumType=Ord|[conj]",
509
+ "480": "NUM.|NumType=Ord|[flat]",
510
+ "481": "NUM.|NumType=Ord|[nsubj]",
511
+ "482": "NUM.|NumType=Ord|[nummod]",
512
+ "483": "NUM.|NumType=Ord|[obj]",
513
+ "484": "NUM.|NumType=Ord|[obl:lmod]",
514
+ "485": "NUM.|NumType=Ord|[obl:tmod]",
515
+ "486": "NUM.|NumType=Ord|[obl]",
516
+ "487": "NUM.|NumType=Ord|[root]",
517
+ "488": "NUM.|[acl]",
518
+ "489": "NUM.|[advcl]",
519
+ "490": "NUM.|[ccomp]",
520
+ "491": "NUM.|[clf]",
521
+ "492": "NUM.|[compound:redup]",
522
+ "493": "NUM.|[compound]",
523
+ "494": "NUM.|[conj]",
524
+ "495": "NUM.|[csubj]",
525
+ "496": "NUM.|[dislocated]",
526
+ "497": "NUM.|[flat]",
527
+ "498": "NUM.|[iobj]",
528
+ "499": "NUM.|[list]",
529
+ "500": "NUM.|[nsubj:outer]",
530
+ "501": "NUM.|[nsubj]",
531
+ "502": "NUM.|[nummod]",
532
+ "503": "NUM.|[obj]",
533
+ "504": "NUM.|[obl:lmod]",
534
+ "505": "NUM.|[obl:tmod]",
535
+ "506": "NUM.|[obl]",
536
+ "507": "NUM.|[parataxis]",
537
+ "508": "NUM.|[root]",
538
+ "509": "NUM.|[xcomp]",
539
+ "510": "NUM|NumType=Ord",
540
+ "511": "NUM|NumType=Ord|[conj]",
541
+ "512": "NUM|NumType=Ord|[flat]",
542
+ "513": "NUM|NumType=Ord|[nsubj]",
543
+ "514": "NUM|NumType=Ord|[nummod]",
544
+ "515": "NUM|NumType=Ord|[obj]",
545
+ "516": "NUM|NumType=Ord|[obl:lmod]",
546
+ "517": "NUM|NumType=Ord|[obl:tmod]",
547
+ "518": "NUM|NumType=Ord|[obl]",
548
+ "519": "NUM|NumType=Ord|[root]",
549
+ "520": "NUM|[acl]",
550
+ "521": "NUM|[advcl]",
551
+ "522": "NUM|[ccomp]",
552
+ "523": "NUM|[clf]",
553
+ "524": "NUM|[compound:redup]",
554
+ "525": "NUM|[compound]",
555
+ "526": "NUM|[conj]",
556
+ "527": "NUM|[csubj]",
557
+ "528": "NUM|[dislocated]",
558
+ "529": "NUM|[flat]",
559
+ "530": "NUM|[iobj]",
560
+ "531": "NUM|[list]",
561
+ "532": "NUM|[nsubj:outer]",
562
+ "533": "NUM|[nsubj]",
563
+ "534": "NUM|[nummod]",
564
+ "535": "NUM|[obj]",
565
+ "536": "NUM|[obl:lmod]",
566
+ "537": "NUM|[obl:tmod]",
567
+ "538": "NUM|[obl]",
568
+ "539": "NUM|[parataxis]",
569
+ "540": "NUM|[root]",
570
+ "541": "NUM|[xcomp]",
571
+ "542": "PART",
572
+ "543": "PART.",
573
+ "544": "PART.|[acl]",
574
+ "545": "PART.|[advcl]",
575
+ "546": "PART.|[advmod]",
576
+ "547": "PART.|[amod]",
577
+ "548": "PART.|[case]",
578
+ "549": "PART.|[cc]",
579
+ "550": "PART.|[ccomp]",
580
+ "551": "PART.|[clf]",
581
+ "552": "PART.|[conj]",
582
+ "553": "PART.|[csubj:outer]",
583
+ "554": "PART.|[csubj]",
584
+ "555": "PART.|[discourse:sp]",
585
+ "556": "PART.|[discourse]",
586
+ "557": "PART.|[dislocated]",
587
+ "558": "PART.|[fixed]",
588
+ "559": "PART.|[flat]",
589
+ "560": "PART.|[iobj]",
590
+ "561": "PART.|[list]",
591
+ "562": "PART.|[mark]",
592
+ "563": "PART.|[nmod]",
593
+ "564": "PART.|[nsubj:outer]",
594
+ "565": "PART.|[nsubj:pass]",
595
+ "566": "PART.|[nsubj]",
596
+ "567": "PART.|[obj]",
597
+ "568": "PART.|[obl:lmod]",
598
+ "569": "PART.|[obl]",
599
+ "570": "PART.|[parataxis]",
600
+ "571": "PART.|[root]",
601
+ "572": "PART.|[xcomp]",
602
+ "573": "PART|[acl]",
603
+ "574": "PART|[advcl]",
604
+ "575": "PART|[advmod]",
605
+ "576": "PART|[amod]",
606
+ "577": "PART|[case]",
607
+ "578": "PART|[cc]",
608
+ "579": "PART|[ccomp]",
609
+ "580": "PART|[clf]",
610
+ "581": "PART|[conj]",
611
+ "582": "PART|[csubj:outer]",
612
+ "583": "PART|[csubj]",
613
+ "584": "PART|[discourse:sp]",
614
+ "585": "PART|[discourse]",
615
+ "586": "PART|[dislocated]",
616
+ "587": "PART|[fixed]",
617
+ "588": "PART|[flat]",
618
+ "589": "PART|[iobj]",
619
+ "590": "PART|[list]",
620
+ "591": "PART|[mark]",
621
+ "592": "PART|[nmod]",
622
+ "593": "PART|[nsubj:outer]",
623
+ "594": "PART|[nsubj:pass]",
624
+ "595": "PART|[nsubj]",
625
+ "596": "PART|[obj]",
626
+ "597": "PART|[obl:lmod]",
627
+ "598": "PART|[obl]",
628
+ "599": "PART|[parataxis]",
629
+ "600": "PART|[root]",
630
+ "601": "PART|[xcomp]",
631
+ "602": "PRON.|Person=1|PronType=Prs",
632
+ "603": "PRON.|Person=1|PronType=Prs|[acl]",
633
+ "604": "PRON.|Person=1|PronType=Prs|[advcl]",
634
+ "605": "PRON.|Person=1|PronType=Prs|[ccomp]",
635
+ "606": "PRON.|Person=1|PronType=Prs|[conj]",
636
+ "607": "PRON.|Person=1|PronType=Prs|[det]",
637
+ "608": "PRON.|Person=1|PronType=Prs|[iobj]",
638
+ "609": "PRON.|Person=1|PronType=Prs|[nsubj:outer]",
639
+ "610": "PRON.|Person=1|PronType=Prs|[nsubj]",
640
+ "611": "PRON.|Person=1|PronType=Prs|[obj]",
641
+ "612": "PRON.|Person=1|PronType=Prs|[obl:lmod]",
642
+ "613": "PRON.|Person=1|PronType=Prs|[obl]",
643
+ "614": "PRON.|Person=1|PronType=Prs|[root]",
644
+ "615": "PRON.|Person=1|PronType=Prs|[vocative]",
645
+ "616": "PRON.|Person=2|PronType=Prs",
646
+ "617": "PRON.|Person=2|PronType=Prs|[advcl]",
647
+ "618": "PRON.|Person=2|PronType=Prs|[amod]",
648
+ "619": "PRON.|Person=2|PronType=Prs|[conj]",
649
+ "620": "PRON.|Person=2|PronType=Prs|[det]",
650
+ "621": "PRON.|Person=2|PronType=Prs|[flat]",
651
+ "622": "PRON.|Person=2|PronType=Prs|[iobj]",
652
+ "623": "PRON.|Person=2|PronType=Prs|[nmod]",
653
+ "624": "PRON.|Person=2|PronType=Prs|[nsubj:outer]",
654
+ "625": "PRON.|Person=2|PronType=Prs|[nsubj]",
655
+ "626": "PRON.|Person=2|PronType=Prs|[obj]",
656
+ "627": "PRON.|Person=2|PronType=Prs|[obl]",
657
+ "628": "PRON.|Person=2|PronType=Prs|[root]",
658
+ "629": "PRON.|Person=2|PronType=Prs|[vocative]",
659
+ "630": "PRON.|Person=3|PronType=Prs",
660
+ "631": "PRON.|Person=3|PronType=Prs|[advcl]",
661
+ "632": "PRON.|Person=3|PronType=Prs|[amod]",
662
+ "633": "PRON.|Person=3|PronType=Prs|[ccomp]",
663
+ "634": "PRON.|Person=3|PronType=Prs|[conj]",
664
+ "635": "PRON.|Person=3|PronType=Prs|[det]",
665
+ "636": "PRON.|Person=3|PronType=Prs|[dislocated]",
666
+ "637": "PRON.|Person=3|PronType=Prs|[expl]",
667
+ "638": "PRON.|Person=3|PronType=Prs|[iobj]",
668
+ "639": "PRON.|Person=3|PronType=Prs|[nsubj:outer]",
669
+ "640": "PRON.|Person=3|PronType=Prs|[nsubj:pass]",
670
+ "641": "PRON.|Person=3|PronType=Prs|[nsubj]",
671
+ "642": "PRON.|Person=3|PronType=Prs|[obj]",
672
+ "643": "PRON.|Person=3|PronType=Prs|[obl]",
673
+ "644": "PRON.|Person=3|PronType=Prs|[root]",
674
+ "645": "PRON.|PronType=Dem",
675
+ "646": "PRON.|PronType=Dem|[acl]",
676
+ "647": "PRON.|PronType=Dem|[advcl]",
677
+ "648": "PRON.|PronType=Dem|[amod]",
678
+ "649": "PRON.|PronType=Dem|[compound]",
679
+ "650": "PRON.|PronType=Dem|[conj]",
680
+ "651": "PRON.|PronType=Dem|[det]",
681
+ "652": "PRON.|PronType=Dem|[dislocated]",
682
+ "653": "PRON.|PronType=Dem|[expl]",
683
+ "654": "PRON.|PronType=Dem|[flat]",
684
+ "655": "PRON.|PronType=Dem|[iobj]",
685
+ "656": "PRON.|PronType=Dem|[nsubj:outer]",
686
+ "657": "PRON.|PronType=Dem|[nsubj]",
687
+ "658": "PRON.|PronType=Dem|[obj]",
688
+ "659": "PRON.|PronType=Dem|[obl:lmod]",
689
+ "660": "PRON.|PronType=Dem|[obl]",
690
+ "661": "PRON.|PronType=Dem|[root]",
691
+ "662": "PRON.|PronType=Int",
692
+ "663": "PRON.|PronType=Int|[advcl]",
693
+ "664": "PRON.|PronType=Int|[amod]",
694
+ "665": "PRON.|PronType=Int|[ccomp]",
695
+ "666": "PRON.|PronType=Int|[conj]",
696
+ "667": "PRON.|PronType=Int|[det]",
697
+ "668": "PRON.|PronType=Int|[dislocated]",
698
+ "669": "PRON.|PronType=Int|[flat]",
699
+ "670": "PRON.|PronType=Int|[nsubj:outer]",
700
+ "671": "PRON.|PronType=Int|[nsubj]",
701
+ "672": "PRON.|PronType=Int|[obj]",
702
+ "673": "PRON.|PronType=Int|[obl]",
703
+ "674": "PRON.|PronType=Int|[parataxis]",
704
+ "675": "PRON.|PronType=Int|[root]",
705
+ "676": "PRON.|PronType=Int|[vocative]",
706
+ "677": "PRON.|PronType=Int|[xcomp]",
707
+ "678": "PRON.|PronType=Prs",
708
+ "679": "PRON.|PronType=Prs|Reflex=Yes",
709
+ "680": "PRON.|PronType=Prs|Reflex=Yes|[acl]",
710
+ "681": "PRON.|PronType=Prs|Reflex=Yes|[det]",
711
+ "682": "PRON.|PronType=Prs|Reflex=Yes|[dislocated]",
712
+ "683": "PRON.|PronType=Prs|Reflex=Yes|[nsubj]",
713
+ "684": "PRON.|PronType=Prs|Reflex=Yes|[obj]",
714
+ "685": "PRON.|PronType=Prs|Reflex=Yes|[obl]",
715
+ "686": "PRON.|PronType=Prs|Reflex=Yes|[root]",
716
+ "687": "PRON.|PronType=Prs|[conj]",
717
+ "688": "PRON.|PronType=Prs|[det]",
718
+ "689": "PRON.|PronType=Prs|[iobj]",
719
+ "690": "PRON.|PronType=Prs|[nsubj:outer]",
720
+ "691": "PRON.|PronType=Prs|[nsubj]",
721
+ "692": "PRON.|PronType=Prs|[obj]",
722
+ "693": "PRON|Person=1|PronType=Prs",
723
+ "694": "PRON|Person=1|PronType=Prs|[acl]",
724
+ "695": "PRON|Person=1|PronType=Prs|[advcl]",
725
+ "696": "PRON|Person=1|PronType=Prs|[ccomp]",
726
+ "697": "PRON|Person=1|PronType=Prs|[conj]",
727
+ "698": "PRON|Person=1|PronType=Prs|[det]",
728
+ "699": "PRON|Person=1|PronType=Prs|[iobj]",
729
+ "700": "PRON|Person=1|PronType=Prs|[nsubj:outer]",
730
+ "701": "PRON|Person=1|PronType=Prs|[nsubj]",
731
+ "702": "PRON|Person=1|PronType=Prs|[obj]",
732
+ "703": "PRON|Person=1|PronType=Prs|[obl:lmod]",
733
+ "704": "PRON|Person=1|PronType=Prs|[obl]",
734
+ "705": "PRON|Person=1|PronType=Prs|[root]",
735
+ "706": "PRON|Person=1|PronType=Prs|[vocative]",
736
+ "707": "PRON|Person=2|PronType=Prs",
737
+ "708": "PRON|Person=2|PronType=Prs|[advcl]",
738
+ "709": "PRON|Person=2|PronType=Prs|[amod]",
739
+ "710": "PRON|Person=2|PronType=Prs|[conj]",
740
+ "711": "PRON|Person=2|PronType=Prs|[det]",
741
+ "712": "PRON|Person=2|PronType=Prs|[flat]",
742
+ "713": "PRON|Person=2|PronType=Prs|[iobj]",
743
+ "714": "PRON|Person=2|PronType=Prs|[nmod]",
744
+ "715": "PRON|Person=2|PronType=Prs|[nsubj:outer]",
745
+ "716": "PRON|Person=2|PronType=Prs|[nsubj]",
746
+ "717": "PRON|Person=2|PronType=Prs|[obj]",
747
+ "718": "PRON|Person=2|PronType=Prs|[obl]",
748
+ "719": "PRON|Person=2|PronType=Prs|[root]",
749
+ "720": "PRON|Person=2|PronType=Prs|[vocative]",
750
+ "721": "PRON|Person=3|PronType=Prs",
751
+ "722": "PRON|Person=3|PronType=Prs|[advcl]",
752
+ "723": "PRON|Person=3|PronType=Prs|[amod]",
753
+ "724": "PRON|Person=3|PronType=Prs|[ccomp]",
754
+ "725": "PRON|Person=3|PronType=Prs|[conj]",
755
+ "726": "PRON|Person=3|PronType=Prs|[det]",
756
+ "727": "PRON|Person=3|PronType=Prs|[dislocated]",
757
+ "728": "PRON|Person=3|PronType=Prs|[expl]",
758
+ "729": "PRON|Person=3|PronType=Prs|[iobj]",
759
+ "730": "PRON|Person=3|PronType=Prs|[nsubj:outer]",
760
+ "731": "PRON|Person=3|PronType=Prs|[nsubj:pass]",
761
+ "732": "PRON|Person=3|PronType=Prs|[nsubj]",
762
+ "733": "PRON|Person=3|PronType=Prs|[obj]",
763
+ "734": "PRON|Person=3|PronType=Prs|[obl]",
764
+ "735": "PRON|Person=3|PronType=Prs|[root]",
765
+ "736": "PRON|PronType=Dem",
766
+ "737": "PRON|PronType=Dem|[acl]",
767
+ "738": "PRON|PronType=Dem|[advcl]",
768
+ "739": "PRON|PronType=Dem|[amod]",
769
+ "740": "PRON|PronType=Dem|[compound]",
770
+ "741": "PRON|PronType=Dem|[conj]",
771
+ "742": "PRON|PronType=Dem|[det]",
772
+ "743": "PRON|PronType=Dem|[dislocated]",
773
+ "744": "PRON|PronType=Dem|[expl]",
774
+ "745": "PRON|PronType=Dem|[flat]",
775
+ "746": "PRON|PronType=Dem|[iobj]",
776
+ "747": "PRON|PronType=Dem|[nsubj:outer]",
777
+ "748": "PRON|PronType=Dem|[nsubj]",
778
+ "749": "PRON|PronType=Dem|[obj]",
779
+ "750": "PRON|PronType=Dem|[obl:lmod]",
780
+ "751": "PRON|PronType=Dem|[obl]",
781
+ "752": "PRON|PronType=Dem|[root]",
782
+ "753": "PRON|PronType=Int",
783
+ "754": "PRON|PronType=Int|[advcl]",
784
+ "755": "PRON|PronType=Int|[amod]",
785
+ "756": "PRON|PronType=Int|[ccomp]",
786
+ "757": "PRON|PronType=Int|[conj]",
787
+ "758": "PRON|PronType=Int|[det]",
788
+ "759": "PRON|PronType=Int|[dislocated]",
789
+ "760": "PRON|PronType=Int|[flat]",
790
+ "761": "PRON|PronType=Int|[nsubj:outer]",
791
+ "762": "PRON|PronType=Int|[nsubj]",
792
+ "763": "PRON|PronType=Int|[obj]",
793
+ "764": "PRON|PronType=Int|[obl]",
794
+ "765": "PRON|PronType=Int|[parataxis]",
795
+ "766": "PRON|PronType=Int|[root]",
796
+ "767": "PRON|PronType=Int|[vocative]",
797
+ "768": "PRON|PronType=Int|[xcomp]",
798
+ "769": "PRON|PronType=Prs",
799
+ "770": "PRON|PronType=Prs|Reflex=Yes",
800
+ "771": "PRON|PronType=Prs|Reflex=Yes|[acl]",
801
+ "772": "PRON|PronType=Prs|Reflex=Yes|[det]",
802
+ "773": "PRON|PronType=Prs|Reflex=Yes|[dislocated]",
803
+ "774": "PRON|PronType=Prs|Reflex=Yes|[nsubj]",
804
+ "775": "PRON|PronType=Prs|Reflex=Yes|[obj]",
805
+ "776": "PRON|PronType=Prs|Reflex=Yes|[obl]",
806
+ "777": "PRON|PronType=Prs|Reflex=Yes|[root]",
807
+ "778": "PRON|PronType=Prs|[conj]",
808
+ "779": "PRON|PronType=Prs|[det]",
809
+ "780": "PRON|PronType=Prs|[iobj]",
810
+ "781": "PRON|PronType=Prs|[nsubj:outer]",
811
+ "782": "PRON|PronType=Prs|[nsubj]",
812
+ "783": "PRON|PronType=Prs|[obj]",
813
+ "784": "PROPN",
814
+ "785": "PROPN.",
815
+ "786": "PROPN.|Case=Loc|NameType=Geo",
816
+ "787": "PROPN.|Case=Loc|NameType=Geo|[acl]",
817
+ "788": "PROPN.|Case=Loc|NameType=Geo|[advcl]",
818
+ "789": "PROPN.|Case=Loc|NameType=Geo|[amod]",
819
+ "790": "PROPN.|Case=Loc|NameType=Geo|[compound]",
820
+ "791": "PROPN.|Case=Loc|NameType=Geo|[conj]",
821
+ "792": "PROPN.|Case=Loc|NameType=Geo|[csubj]",
822
+ "793": "PROPN.|Case=Loc|NameType=Geo|[dislocated]",
823
+ "794": "PROPN.|Case=Loc|NameType=Geo|[flat]",
824
+ "795": "PROPN.|Case=Loc|NameType=Geo|[iobj]",
825
+ "796": "PROPN.|Case=Loc|NameType=Geo|[nmod]",
826
+ "797": "PROPN.|Case=Loc|NameType=Geo|[nsubj:outer]",
827
+ "798": "PROPN.|Case=Loc|NameType=Geo|[nsubj]",
828
+ "799": "PROPN.|Case=Loc|NameType=Geo|[obj]",
829
+ "800": "PROPN.|Case=Loc|NameType=Geo|[obl:lmod]",
830
+ "801": "PROPN.|Case=Loc|NameType=Geo|[obl]",
831
+ "802": "PROPN.|Case=Loc|NameType=Geo|[parataxis]",
832
+ "803": "PROPN.|Case=Loc|NameType=Geo|[root]",
833
+ "804": "PROPN.|Case=Loc|NameType=Geo|[xcomp]",
834
+ "805": "PROPN.|Case=Loc|NameType=Nat",
835
+ "806": "PROPN.|Case=Loc|NameType=Nat|[acl]",
836
+ "807": "PROPN.|Case=Loc|NameType=Nat|[advcl]",
837
+ "808": "PROPN.|Case=Loc|NameType=Nat|[amod]",
838
+ "809": "PROPN.|Case=Loc|NameType=Nat|[ccomp]",
839
+ "810": "PROPN.|Case=Loc|NameType=Nat|[clf]",
840
+ "811": "PROPN.|Case=Loc|NameType=Nat|[compound]",
841
+ "812": "PROPN.|Case=Loc|NameType=Nat|[conj]",
842
+ "813": "PROPN.|Case=Loc|NameType=Nat|[flat]",
843
+ "814": "PROPN.|Case=Loc|NameType=Nat|[iobj]",
844
+ "815": "PROPN.|Case=Loc|NameType=Nat|[nmod]",
845
+ "816": "PROPN.|Case=Loc|NameType=Nat|[nsubj:outer]",
846
+ "817": "PROPN.|Case=Loc|NameType=Nat|[nsubj:pass]",
847
+ "818": "PROPN.|Case=Loc|NameType=Nat|[nsubj]",
848
+ "819": "PROPN.|Case=Loc|NameType=Nat|[obj]",
849
+ "820": "PROPN.|Case=Loc|NameType=Nat|[obl:lmod]",
850
+ "821": "PROPN.|Case=Loc|NameType=Nat|[obl]",
851
+ "822": "PROPN.|Case=Loc|NameType=Nat|[parataxis]",
852
+ "823": "PROPN.|Case=Loc|NameType=Nat|[root]",
853
+ "824": "PROPN.|Case=Loc|NameType=Nat|[xcomp]",
854
+ "825": "PROPN.|NameType=Giv",
855
+ "826": "PROPN.|NameType=Giv|[acl]",
856
+ "827": "PROPN.|NameType=Giv|[advcl]",
857
+ "828": "PROPN.|NameType=Giv|[amod]",
858
+ "829": "PROPN.|NameType=Giv|[appos]",
859
+ "830": "PROPN.|NameType=Giv|[ccomp]",
860
+ "831": "PROPN.|NameType=Giv|[compound]",
861
+ "832": "PROPN.|NameType=Giv|[conj]",
862
+ "833": "PROPN.|NameType=Giv|[dislocated]",
863
+ "834": "PROPN.|NameType=Giv|[flat]",
864
+ "835": "PROPN.|NameType=Giv|[iobj]",
865
+ "836": "PROPN.|NameType=Giv|[list]",
866
+ "837": "PROPN.|NameType=Giv|[nmod]",
867
+ "838": "PROPN.|NameType=Giv|[nsubj:outer]",
868
+ "839": "PROPN.|NameType=Giv|[nsubj:pass]",
869
+ "840": "PROPN.|NameType=Giv|[nsubj]",
870
+ "841": "PROPN.|NameType=Giv|[obj]",
871
+ "842": "PROPN.|NameType=Giv|[obl:lmod]",
872
+ "843": "PROPN.|NameType=Giv|[obl]",
873
+ "844": "PROPN.|NameType=Giv|[parataxis]",
874
+ "845": "PROPN.|NameType=Giv|[root]",
875
+ "846": "PROPN.|NameType=Giv|[vocative]",
876
+ "847": "PROPN.|NameType=Giv|[xcomp]",
877
+ "848": "PROPN.|NameType=Prs",
878
+ "849": "PROPN.|NameType=Prs|[acl]",
879
+ "850": "PROPN.|NameType=Prs|[advcl]",
880
+ "851": "PROPN.|NameType=Prs|[amod]",
881
+ "852": "PROPN.|NameType=Prs|[compound]",
882
+ "853": "PROPN.|NameType=Prs|[conj]",
883
+ "854": "PROPN.|NameType=Prs|[dislocated]",
884
+ "855": "PROPN.|NameType=Prs|[flat]",
885
+ "856": "PROPN.|NameType=Prs|[iobj]",
886
+ "857": "PROPN.|NameType=Prs|[nmod]",
887
+ "858": "PROPN.|NameType=Prs|[nsubj:outer]",
888
+ "859": "PROPN.|NameType=Prs|[nsubj]",
889
+ "860": "PROPN.|NameType=Prs|[obj]",
890
+ "861": "PROPN.|NameType=Prs|[obl]",
891
+ "862": "PROPN.|NameType=Prs|[parataxis]",
892
+ "863": "PROPN.|NameType=Prs|[root]",
893
+ "864": "PROPN.|NameType=Sur",
894
+ "865": "PROPN.|NameType=Sur|[acl]",
895
+ "866": "PROPN.|NameType=Sur|[advcl]",
896
+ "867": "PROPN.|NameType=Sur|[amod]",
897
+ "868": "PROPN.|NameType=Sur|[ccomp]",
898
+ "869": "PROPN.|NameType=Sur|[compound]",
899
+ "870": "PROPN.|NameType=Sur|[conj]",
900
+ "871": "PROPN.|NameType=Sur|[csubj]",
901
+ "872": "PROPN.|NameType=Sur|[dislocated]",
902
+ "873": "PROPN.|NameType=Sur|[flat]",
903
+ "874": "PROPN.|NameType=Sur|[iobj]",
904
+ "875": "PROPN.|NameType=Sur|[list]",
905
+ "876": "PROPN.|NameType=Sur|[nmod]",
906
+ "877": "PROPN.|NameType=Sur|[nsubj:outer]",
907
+ "878": "PROPN.|NameType=Sur|[nsubj:pass]",
908
+ "879": "PROPN.|NameType=Sur|[nsubj]",
909
+ "880": "PROPN.|NameType=Sur|[obj]",
910
+ "881": "PROPN.|NameType=Sur|[obl:lmod]",
911
+ "882": "PROPN.|NameType=Sur|[obl]",
912
+ "883": "PROPN.|NameType=Sur|[parataxis]",
913
+ "884": "PROPN.|NameType=Sur|[root]",
914
+ "885": "PROPN.|NameType=Sur|[vocative]",
915
+ "886": "PROPN.|NameType=Sur|[xcomp]",
916
+ "887": "PROPN.|[nmod]",
917
+ "888": "PROPN|Case=Loc|NameType=Geo",
918
+ "889": "PROPN|Case=Loc|NameType=Geo|[acl]",
919
+ "890": "PROPN|Case=Loc|NameType=Geo|[advcl]",
920
+ "891": "PROPN|Case=Loc|NameType=Geo|[amod]",
921
+ "892": "PROPN|Case=Loc|NameType=Geo|[compound]",
922
+ "893": "PROPN|Case=Loc|NameType=Geo|[conj]",
923
+ "894": "PROPN|Case=Loc|NameType=Geo|[csubj]",
924
+ "895": "PROPN|Case=Loc|NameType=Geo|[dislocated]",
925
+ "896": "PROPN|Case=Loc|NameType=Geo|[flat]",
926
+ "897": "PROPN|Case=Loc|NameType=Geo|[iobj]",
927
+ "898": "PROPN|Case=Loc|NameType=Geo|[nmod]",
928
+ "899": "PROPN|Case=Loc|NameType=Geo|[nsubj:outer]",
929
+ "900": "PROPN|Case=Loc|NameType=Geo|[nsubj]",
930
+ "901": "PROPN|Case=Loc|NameType=Geo|[obj]",
931
+ "902": "PROPN|Case=Loc|NameType=Geo|[obl:lmod]",
932
+ "903": "PROPN|Case=Loc|NameType=Geo|[obl]",
933
+ "904": "PROPN|Case=Loc|NameType=Geo|[parataxis]",
934
+ "905": "PROPN|Case=Loc|NameType=Geo|[root]",
935
+ "906": "PROPN|Case=Loc|NameType=Geo|[xcomp]",
936
+ "907": "PROPN|Case=Loc|NameType=Nat",
937
+ "908": "PROPN|Case=Loc|NameType=Nat|[acl]",
938
+ "909": "PROPN|Case=Loc|NameType=Nat|[advcl]",
939
+ "910": "PROPN|Case=Loc|NameType=Nat|[amod]",
940
+ "911": "PROPN|Case=Loc|NameType=Nat|[ccomp]",
941
+ "912": "PROPN|Case=Loc|NameType=Nat|[clf]",
942
+ "913": "PROPN|Case=Loc|NameType=Nat|[compound]",
943
+ "914": "PROPN|Case=Loc|NameType=Nat|[conj]",
944
+ "915": "PROPN|Case=Loc|NameType=Nat|[flat]",
945
+ "916": "PROPN|Case=Loc|NameType=Nat|[iobj]",
946
+ "917": "PROPN|Case=Loc|NameType=Nat|[nmod]",
947
+ "918": "PROPN|Case=Loc|NameType=Nat|[nsubj:outer]",
948
+ "919": "PROPN|Case=Loc|NameType=Nat|[nsubj:pass]",
949
+ "920": "PROPN|Case=Loc|NameType=Nat|[nsubj]",
950
+ "921": "PROPN|Case=Loc|NameType=Nat|[obj]",
951
+ "922": "PROPN|Case=Loc|NameType=Nat|[obl:lmod]",
952
+ "923": "PROPN|Case=Loc|NameType=Nat|[obl]",
953
+ "924": "PROPN|Case=Loc|NameType=Nat|[parataxis]",
954
+ "925": "PROPN|Case=Loc|NameType=Nat|[root]",
955
+ "926": "PROPN|Case=Loc|NameType=Nat|[xcomp]",
956
+ "927": "PROPN|NameType=Giv",
957
+ "928": "PROPN|NameType=Giv|[acl]",
958
+ "929": "PROPN|NameType=Giv|[advcl]",
959
+ "930": "PROPN|NameType=Giv|[amod]",
960
+ "931": "PROPN|NameType=Giv|[appos]",
961
+ "932": "PROPN|NameType=Giv|[ccomp]",
962
+ "933": "PROPN|NameType=Giv|[compound]",
963
+ "934": "PROPN|NameType=Giv|[conj]",
964
+ "935": "PROPN|NameType=Giv|[dislocated]",
965
+ "936": "PROPN|NameType=Giv|[flat]",
966
+ "937": "PROPN|NameType=Giv|[iobj]",
967
+ "938": "PROPN|NameType=Giv|[list]",
968
+ "939": "PROPN|NameType=Giv|[nmod]",
969
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+ "layer_norm_eps": 1e-05,
2400
+ "local_attention": 128,
2401
+ "local_rope_theta": 10000.0,
2402
+ "max_position_embeddings": 8192,
2403
+ "mlp_bias": false,
2404
+ "mlp_dropout": 0.0,
2405
+ "model_type": "modernbert",
2406
+ "norm_bias": false,
2407
+ "norm_eps": 1e-05,
2408
+ "num_attention_heads": 12,
2409
+ "num_hidden_layers": 22,
2410
+ "pad_token_id": 1,
2411
+ "position_embedding_type": "absolute",
2412
+ "reference_compile": false,
2413
+ "repad_logits_with_grad": false,
2414
+ "sep_token_id": 2,
2415
+ "sparse_pred_ignore_index": -100,
2416
+ "sparse_prediction": false,
2417
+ "tokenizer_class": "BertTokenizerFast",
2418
+ "torch_dtype": "float32",
2419
+ "transformers_version": "4.48.3",
2420
+ "vocab_size": 25078
2421
+ }
maker.py ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #! /usr/bin/python3
2
+ src="KoichiYasuoka/modernbert-base-classical-chinese"
3
+ tgt="KoichiYasuoka/modernbert-base-classical-chinese-ud-square"
4
+ url="https://github.com/UniversalDependencies/UD_Classical_Chinese-Kyoto"
5
+ import os,numpy
6
+ d=os.path.basename(url)
7
+ os.system("test -d "+d+" || git clone --depth=1 "+url)
8
+ os.system("for F in train dev test ; do cp "+d+"/*-$F.conllu $F.conllu ; done")
9
+ class UDSquareDataset(object):
10
+ def __init__(self,conllu,tokenizer):
11
+ self.conllu=open(conllu,"r",encoding="utf-8")
12
+ self.tokenizer=tokenizer
13
+ self.seeks=[0]
14
+ label=set(["SYM.","X.","X.|[goeswith]"])
15
+ s=self.conllu.readline()
16
+ while s!="":
17
+ if s=="\n":
18
+ self.seeks.append(self.conllu.tell())
19
+ else:
20
+ w=s.split("\t")
21
+ if len(w)==10:
22
+ if w[0].isdecimal():
23
+ p=w[3]
24
+ q="" if w[5]=="_" else "|"+w[5]
25
+ r="|["+w[7]+"]"
26
+ label.add(p+q)
27
+ label.add(p+"."+q)
28
+ label.add(p+q+r)
29
+ label.add(p+"."+q+r)
30
+ s=self.conllu.readline()
31
+ self.label2id={l:i for i,l in enumerate(sorted(label))}
32
+ def __call__(*args):
33
+ lid={l:i for i,l in enumerate(sorted(set(sum([list(t.label2id) for t in args],[]))))}
34
+ for t in args:
35
+ t.label2id=lid
36
+ return lid
37
+ def __del__(self):
38
+ self.conllu.close()
39
+ __len__=lambda self:len(self.seeks)-1
40
+ def __getitem__(self,i):
41
+ self.conllu.seek(self.seeks[i])
42
+ c,t=[],[""]
43
+ while t[0]!="\n":
44
+ t=self.conllu.readline().split("\t")
45
+ if len(t)==10 and t[0].isdecimal():
46
+ c.append(t)
47
+ h={t[6] for t in c}
48
+ for t in c:
49
+ if t[6]!="0" and t[0] not in h:
50
+ t[3]+="."
51
+ v=self.tokenizer([t[1] for t in c],add_special_tokens=False)["input_ids"]
52
+ for i in range(len(v)-1,-1,-1):
53
+ if v[i]==[]:
54
+ v[i]=[self.tokenizer.unk_token_id]
55
+ if len(v[i])>1:
56
+ c[i][3]=c[i][3].replace(".","")
57
+ for j in range(1,len(v[i])):
58
+ c.insert(i+1,[c[i][0],"_","_","X.","_","_",c[i][0],"goeswith","_","_"])
59
+ y=["0"]+[t[0] for t in c]
60
+ h=[i if t[6]=="0" else y.index(t[6]) for i,t in enumerate(c,1)]
61
+ p=[t[3] if t[5]=="_" else t[3]+"|"+t[5] for t in c]
62
+ d=["|["+t[7]+"]" for t in c]
63
+ x=[not t[3].endswith(".") for t in c]
64
+ if len(x)<90:
65
+ x=[True]*len(x)
66
+ else:
67
+ w=(sum([1 for b in x if b])+1)*(len(x)+1)+1
68
+ for i in numpy.argsort([-abs(j-i-1) for i,j in enumerate(h)]):
69
+ if w+len(x)>8191:
70
+ break
71
+ if not x[i]:
72
+ x[i]=True
73
+ w+=len(x)+1
74
+ v=sum(v,[])
75
+ ids=[self.tokenizer.cls_token_id]+v+[self.tokenizer.sep_token_id]
76
+ upos=["SYM."]+p+["SYM."]
77
+ for i in range(len(v)):
78
+ if x[i]:
79
+ for j in range(len(v)):
80
+ ids.append(self.tokenizer.mask_token_id if i==j else v[j])
81
+ upos.append(p[j]+d[j] if h[j]==i+1 else p[j])
82
+ ids.append(self.tokenizer.sep_token_id)
83
+ upos.append("SYM.")
84
+ return {"input_ids":ids,"labels":[self.label2id[p] for p in upos]}
85
+ from transformers import AutoTokenizer,AutoConfig,AutoModelForTokenClassification,DataCollatorForTokenClassification,TrainingArguments,Trainer
86
+ tkz=AutoTokenizer.from_pretrained(src)
87
+ trainDS=UDSquareDataset("train.conllu",tkz)
88
+ devDS=UDSquareDataset("dev.conllu",tkz)
89
+ testDS=UDSquareDataset("test.conllu",tkz)
90
+ lid=trainDS(devDS,testDS)
91
+ cfg=AutoConfig.from_pretrained(src,num_labels=len(lid),label2id=lid,id2label={i:l for l,i in lid.items()},ignore_mismatched_sizes=True,trust_remote_code=True)
92
+ mdl=AutoModelForTokenClassification.from_pretrained(src,config=cfg,ignore_mismatched_sizes=True,trust_remote_code=True)
93
+ arg=TrainingArguments(num_train_epochs=3,per_device_train_batch_size=1,dataloader_pin_memory=False,output_dir=tgt,overwrite_output_dir=True,save_total_limit=2,learning_rate=5e-05,warmup_ratio=0.1,save_safetensors=False)
94
+ trn=Trainer(args=arg,data_collator=DataCollatorForTokenClassification(tkz),model=mdl,train_dataset=trainDS)
95
+ trn.train()
96
+ trn.save_model(tgt)
97
+ tkz.save_pretrained(tgt)
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:563dd7fbd60a8f366b39307af6f882019d37026b27ed19f6142feb0b4e9b70b5
3
+ size 524409714
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[CLS]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[PAD]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[SEP]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[UNK]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_basic_tokenize": true,
47
+ "do_lower_case": false,
48
+ "extra_special_tokens": {},
49
+ "mask_token": "[MASK]",
50
+ "model_input_names": [
51
+ "input_ids",
52
+ "attention_mask"
53
+ ],
54
+ "model_max_length": 1000000000000000019884624838656,
55
+ "never_split": [
56
+ "[CLS]",
57
+ "[PAD]",
58
+ "[SEP]",
59
+ "[UNK]",
60
+ "[MASK]"
61
+ ],
62
+ "pad_token": "[PAD]",
63
+ "sep_token": "[SEP]",
64
+ "strip_accents": false,
65
+ "tokenize_chinese_chars": true,
66
+ "tokenizer_class": "BertTokenizerFast",
67
+ "unk_token": "[UNK]"
68
+ }
ud.py ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy
2
+ from transformers import TokenClassificationPipeline
3
+
4
+ class UniversalDependenciesPipeline(TokenClassificationPipeline):
5
+ def __init__(self,**kwargs):
6
+ super().__init__(**kwargs)
7
+ x=self.model.config.label2id
8
+ self.root=numpy.full((len(x)),-numpy.inf)
9
+ self.arc=numpy.full((len(x)),-numpy.inf)
10
+ for k,v in x.items():
11
+ if k.endswith("|[root]"):
12
+ self.root[v]=0
13
+ elif k.endswith("]"):
14
+ self.arc[v]=0
15
+ def _forward(self,model_inputs):
16
+ import torch
17
+ v=model_inputs["input_ids"][0].tolist()
18
+ if len(v)<91:
19
+ x=[True]*(len(v)-2)
20
+ else:
21
+ with torch.no_grad():
22
+ e=self.model(input_ids=torch.tensor([v]).to(self.device))
23
+ m=e.logits[0].cpu().numpy()
24
+ e=numpy.exp(m-numpy.max(m,axis=-1,keepdims=True))
25
+ z=e/e.sum(axis=-1,keepdims=True)
26
+ k=numpy.argmax(m,axis=1).tolist()
27
+ x=[not self.model.config.id2label[p].split("|")[0].endswith(".") for p in k[1:-1]]
28
+ w=(sum([1 for b in x if b])+1)*(len(x)+1)+1
29
+ for i in numpy.argsort([z[i+1,k[i+1]] for i in range(len(x))]):
30
+ if w+len(x)>8191:
31
+ break
32
+ if not x[i]:
33
+ x[i]=True
34
+ w+=len(x)+1
35
+ ids=list(v)
36
+ for i in range(len(x)):
37
+ if x[i]:
38
+ ids+=v[1:i+1]+[self.tokenizer.mask_token_id]+v[i+2:]
39
+ with torch.no_grad():
40
+ e=self.model(input_ids=torch.tensor([ids]).to(self.device))
41
+ return {"logits":e.logits,"thin_out":x,**model_inputs}
42
+ def check_model_type(self,supported_models):
43
+ pass
44
+ def postprocess(self,model_outputs,**kwargs):
45
+ if "logits" not in model_outputs:
46
+ return "".join(self.postprocess(x,**kwargs) for x in model_outputs)
47
+ m=model_outputs["logits"][0].cpu().numpy()
48
+ x=model_outputs["thin_out"]
49
+ e=numpy.full((len(x),len(x),m.shape[-1]),m.min())
50
+ k=len(x)+2
51
+ for i in range(len(x)):
52
+ if x[i]:
53
+ for j in range(len(x)):
54
+ if i==j:
55
+ e[i,i]=m[k]+self.root
56
+ else:
57
+ e[i,j]=m[k]+self.arc
58
+ k+=1
59
+ k+=1
60
+ g=self.model.config.label2id["X.|[goeswith]"]
61
+ m,r=numpy.max(e,axis=2),numpy.tri(e.shape[0])
62
+ for i in range(e.shape[0]):
63
+ for j in range(i+2,e.shape[1]):
64
+ r[i,j]=1
65
+ if numpy.argmax(e[i,j-1])==g:
66
+ if numpy.argmax(m[:,j-1])==i:
67
+ r[i,j]=r[i,j-1]
68
+ e[:,:,g]+=numpy.where(r==0,0,-numpy.inf)
69
+ m,p=numpy.max(e,axis=2),numpy.argmax(e,axis=2)
70
+ h=self.chu_liu_edmonds(m)
71
+ z=[i for i,j in enumerate(h) if i==j]
72
+ if len(z)>1:
73
+ k,h=z[numpy.argmax(m[z,z])],numpy.min(m)-numpy.max(m)
74
+ m[:,z]+=[[0 if j in z and (i!=j or i==k) else h for i in z] for j in range(m.shape[0])]
75
+ h=self.chu_liu_edmonds(m)
76
+ v=[(s,e) for s,e in model_outputs["offset_mapping"][0].tolist() if s<e]
77
+ q=[self.model.config.id2label[p[j,i]].split("|") for i,j in enumerate(h)]
78
+ if "aggregation_strategy" in kwargs and kwargs["aggregation_strategy"]!="none":
79
+ for i,j in reversed(list(enumerate(q[1:],1))):
80
+ if j[-1]=="[goeswith]" and set([t[-1] for t in q[h[i]+1:i+1]])=={"[goeswith]"}:
81
+ h=[b if i>b else b-1 for a,b in enumerate(h) if i!=a]
82
+ v[i-1]=(v[i-1][0],v.pop(i)[1])
83
+ q.pop(i)
84
+ elif v[i-1][1]>v[i][0]:
85
+ h=[b if i>b else b-1 for a,b in enumerate(h) if i!=a]
86
+ v[i-1]=(v[i-1][0],v.pop(i)[1])
87
+ q.pop(i)
88
+ t=model_outputs["sentence"].replace("\n"," ")
89
+ for i,(s,e) in reversed(list(enumerate(v))):
90
+ d=t[s:e]
91
+ j=len(d)-len(d.lstrip())
92
+ if j>0:
93
+ d=d.lstrip()
94
+ v[i]=(v[i][0]+j,v[i][1])
95
+ j=len(d)-len(d.rstrip())
96
+ if j>0:
97
+ d=d.rstrip()
98
+ v[i]=(v[i][0],v[i][1]-j)
99
+ if d.strip()=="":
100
+ h=[b if i>b else b-1 for a,b in enumerate(h) if i!=a]
101
+ v.pop(i)
102
+ q.pop(i)
103
+ u="# text = "+t+"\n"
104
+ for i,(s,e) in enumerate(v):
105
+ u+="\t".join([str(i+1),t[s:e],t[s:e],q[i][0].replace(".",""),"_","_" if len(q[i])<3 else "|".join(q[i][1:-1]),str(0 if h[i]==i else h[i]+1),q[i][-1][1:-1],"_","_" if i+1<len(v) and e<v[i+1][0] else "SpaceAfter=No"])+"\n"
106
+ return u+"\n"
107
+ def chu_liu_edmonds(self,matrix):
108
+ import numpy
109
+ h=numpy.argmax(matrix,axis=0)
110
+ x=[-1 if i==j else j for i,j in enumerate(h)]
111
+ for b in [lambda x,i,j:-1 if i not in x else x[i],lambda x,i,j:-1 if j<0 else x[j]]:
112
+ y=[]
113
+ while x!=y:
114
+ y=list(x)
115
+ for i,j in enumerate(x):
116
+ x[i]=b(x,i,j)
117
+ if max(x)<0:
118
+ return h
119
+ y,x=[i for i,j in enumerate(x) if j==max(x)],[i for i,j in enumerate(x) if j<max(x)]
120
+ z=matrix-numpy.max(matrix,axis=0)
121
+ m=numpy.block([[z[x,:][:,x],numpy.max(z[x,:][:,y],axis=1).reshape(len(x),1)],[numpy.max(z[y,:][:,x],axis=0),numpy.max(z[y,y])]])
122
+ k=[j if i==len(x) else x[j] if j<len(x) else y[numpy.argmax(z[y,x[i]])] for i,j in enumerate(self.chu_liu_edmonds(m))]
123
+ h=[j if i in y else k[x.index(i)] for i,j in enumerate(h)]
124
+ i=y[numpy.argmax(z[x[k[-1]],y] if k[-1]<len(x) else z[y,y])]
125
+ h[i]=x[k[-1]] if k[-1]<len(x) else i
126
+ return h
vocab.txt ADDED
The diff for this file is too large to render. See raw diff