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KoichiYasuoka
/
deberta-small-japanese-upos

Token Classification
Transformers
PyTorch
Japanese
deberta-v2
japanese
pos
dependency-parsing
Inference Endpoints
Model card Files Community
2
KoichiYasuoka commited on
Commit
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1 Parent(s): 8772b9c

initial release

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Files changed (8) hide show
  1. README.md +45 -1
  2. config.json +1494 -0
  3. pytorch_model.bin +3 -0
  4. special_tokens_map.json +1 -0
  5. spm.model +3 -0
  6. supar.model +3 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +1 -0
README.md CHANGED
@@ -1,3 +1,47 @@
1
  ---
2
- license: cc-by-sa-4.0
 
 
 
 
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - "ja"
4
+ tags:
5
+ - "japanese"
6
+ - "token-classification"
7
+ - "pos"
8
+ - "dependency-parsing"
9
+ datasets:
10
+ - "universal_dependencies"
11
+ license: "cc-by-sa-4.0"
12
+ pipeline_tag: "token-classification"
13
+ widget:
14
+ - text: "国境の長いトンネルを抜けると雪国であった。"
15
  ---
16
+
17
+ # deberta-small-japanese-upos
18
+
19
+ ## Model Description
20
+
21
+ This is a DeBERTa(V2) model pre-trained on 青空文庫 texts for POS-tagging and dependency-parsing, derived from [deberta-small-japanese-aozora](https://huggingface.co/KoichiYasuoka/deberta-small-japanese-aozora). Every short-unit-word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).
22
+
23
+ ## How to Use
24
+
25
+ ```py
26
+ import torch
27
+ from transformers import AutoTokenizer,AutoModelForTokenClassification
28
+ tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-small-japanese-upos")
29
+ model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-small-japanese-upos")
30
+ s="国境の長いトンネルを抜けると雪国であった。"
31
+ t=tokenizer.tokenize(s)
32
+ p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,return_tensors="pt"))["logits"],dim=2)[0].tolist()[1:-1]]
33
+ print(list(zip(t,p)))
34
+ ```
35
+
36
+ or
37
+
38
+ ```py
39
+ import esupar
40
+ nlp=esupar.load("KoichiYasuoka/deberta-small-japanese-upos")
41
+ print(nlp("国境の長いトンネルを抜けると雪国であった。"))
42
+ ```
43
+
44
+ ## See Also
45
+
46
+ [esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa models
47
+
config.json ADDED
@@ -0,0 +1,1494 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "architectures": [
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+ "DebertaV2ForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 256,
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+ "id2label": {
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+ "0": "ADJ",
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+ "1": "ADJ+AUX",
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+ "2": "ADP",
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+ "3": "ADV",
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+ "4": "AUX",
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+ "5": "AUX+AUX",
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+ "6": "AUX+AUX+NOUN",
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+ "7": "AUX+AUX+SCONJ",
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+ "8": "AUX+VERB",
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+ "9": "B-ADJ",
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+ "10": "B-ADJ+ADJ",
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+ "11": "B-ADJ+AUX+AUX",
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+ "12": "B-ADJ+NOUN",
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+ "13": "B-ADJ+PROPN",
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+ "14": "B-ADJ+VERB",
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+ "15": "B-ADP",
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+ "16": "B-ADP+ADV",
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+ "17": "B-ADV",
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+ "18": "B-ADV+ADP",
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+ "19": "B-ADV+ADP+VERB",
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+ "20": "B-ADV+ADV",
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+ "21": "B-AUX",
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+ "22": "B-AUX+AUX",
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+ "23": "B-AUX+AUX+AUX",
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+ "24": "B-AUX+SCONJ",
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+ "25": "B-AUX+VERB",
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+ "26": "B-CCONJ",
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+ "27": "B-CCONJ+SCONJ",
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+ "28": "B-DET",
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+ "29": "B-INTJ",
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+ "30": "B-NOUN",
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+ "31": "B-NOUN+ADJ",
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+ "32": "B-NOUN+ADP",
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+ "33": "B-NOUN+AUX",
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+ "34": "B-NOUN+NOUN",
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+ "35": "B-NOUN+NUM",
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+ "36": "B-NOUN+PART",
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+ "37": "B-NOUN+PROPN",
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+ "38": "B-NUM",
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+ "39": "B-NUM+NOUN",
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+ "40": "B-PART",
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+ "41": "B-PRON",
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+ "42": "B-PROPN",
55
+ "43": "B-PROPN+NOUN",
56
+ "44": "B-SCONJ",
57
+ "45": "B-SYM",
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+ "46": "B-VERB",
59
+ "47": "B-VERB+AUX",
60
+ "48": "B-VERB+AUX+AUX",
61
+ "49": "B-VERB+AUX+PART",
62
+ "50": "CCONJ",
63
+ "51": "DET",
64
+ "52": "I-ADJ",
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+ "53": "I-ADJ+ADJ",
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+ "54": "I-ADJ+AUX+AUX",
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+ "55": "I-ADJ+NOUN",
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+ "56": "I-ADJ+PROPN",
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+ "57": "I-ADJ+VERB",
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+ "58": "I-ADP",
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+ "59": "I-ADP+ADV",
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+ "60": "I-ADV",
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+ "61": "I-ADV+ADP",
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+ "62": "I-ADV+ADP+VERB",
75
+ "63": "I-ADV+ADV",
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+ "64": "I-AUX",
77
+ "65": "I-AUX+AUX",
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+ "66": "I-AUX+AUX+AUX",
79
+ "67": "I-AUX+SCONJ",
80
+ "68": "I-AUX+VERB",
81
+ "69": "I-CCONJ",
82
+ "70": "I-CCONJ+SCONJ",
83
+ "71": "I-DET",
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+ "72": "I-INTJ",
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+ "73": "I-NOUN",
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+ "74": "I-NOUN+ADJ",
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+ "75": "I-NOUN+ADP",
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+ "76": "I-NOUN+AUX",
89
+ "77": "I-NOUN+NOUN",
90
+ "78": "I-NOUN+NUM",
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+ "79": "I-NOUN+PART",
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+ "80": "I-NOUN+PROPN",
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+ "81": "I-NUM",
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+ "82": "I-NUM+NOUN",
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+ "83": "I-PART",
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+ "84": "I-PRON",
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+ "85": "I-PROPN",
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+ "86": "I-PROPN+NOUN",
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+ "87": "I-SCONJ",
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+ "88": "I-SYM",
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+ "89": "I-VERB",
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+ "90": "I-VERB+AUX",
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+ "91": "I-VERB+AUX+AUX",
104
+ "92": "I-VERB+AUX+PART",
105
+ "93": "INTJ",
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+ "94": "NOUN",
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+ "95": "NOUN+ADP",
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+ "96": "NOUN+AUX",
109
+ "97": "NOUN+NOUN",
110
+ "98": "NOUN+NOUN+NOUN",
111
+ "99": "NUM",
112
+ "100": "NUM+NOUN",
113
+ "101": "NUM+NOUN+NUM",
114
+ "102": "PART",
115
+ "103": "PRON",
116
+ "104": "PRON+ADP",
117
+ "105": "PROPN",
118
+ "106": "PUNCT",
119
+ "107": "SCONJ",
120
+ "108": "SYM",
121
+ "109": "VERB",
122
+ "110": "VERB+AUX",
123
+ "111": "VERB+AUX+PART",
124
+ "112": "VERB+AUX+SCONJ",
125
+ "113": "VERB+NOUN"
126
+ },
127
+ "initializer_range": 0.02,
128
+ "intermediate_size": 768,
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+ "label2id": {
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+ "ADJ": 0,
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+ "ADJ+AUX": 1,
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+ "ADP": 2,
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+ "ADV": 3,
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+ "AUX": 4,
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+ "AUX+AUX": 5,
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+ "AUX+AUX+NOUN": 6,
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+ "AUX+AUX+SCONJ": 7,
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+ "AUX+VERB": 8,
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+ "B-ADJ": 9,
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+ "B-ADJ+ADJ": 10,
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+ "B-ADJ+AUX+AUX": 11,
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+ "B-ADJ+NOUN": 12,
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+ "B-ADJ+PROPN": 13,
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+ "B-ADJ+VERB": 14,
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+ "B-ADP": 15,
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+ "B-ADP+ADV": 16,
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+ "B-ADV": 17,
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+ "B-ADV+ADP": 18,
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+ "B-ADV+ADP+VERB": 19,
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+ "B-ADV+ADV": 20,
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+ "B-AUX": 21,
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+ "B-AUX+AUX": 22,
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+ "B-AUX+AUX+AUX": 23,
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+ "B-AUX+SCONJ": 24,
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+ "B-AUX+VERB": 25,
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+ "B-CCONJ": 26,
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+ "B-CCONJ+SCONJ": 27,
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+ "B-DET": 28,
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+ "B-INTJ": 29,
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+ "B-NOUN": 30,
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+ "B-NOUN+ADJ": 31,
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+ "B-NOUN+ADP": 32,
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+ "B-NOUN+AUX": 33,
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+ "B-PART": 40,
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+ "B-PROPN": 42,
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+ "B-PROPN+NOUN": 43,
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+ "B-SCONJ": 44,
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+ "B-SYM": 45,
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+ "B-VERB": 46,
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+ "B-VERB+AUX": 47,
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+ "B-VERB+AUX+AUX": 48,
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+ "B-VERB+AUX+PART": 49,
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+ "CCONJ": 50,
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+ "DET": 51,
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+ "I-ADJ": 52,
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+ "I-ADJ+ADJ": 53,
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+ "I-ADJ+AUX+AUX": 54,
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+ "I-ADJ+NOUN": 55,
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+ "I-ADJ+PROPN": 56,
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+ "I-ADJ+VERB": 57,
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+ "I-ADP": 58,
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+ "I-ADP+ADV": 59,
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+ "I-ADV": 60,
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+ "I-ADV+ADP": 61,
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+ "I-ADV+ADP+VERB": 62,
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+ "I-ADV+ADV": 63,
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+ "I-AUX": 64,
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+ "I-AUX+AUX": 65,
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+ "I-AUX+AUX+AUX": 66,
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+ "I-AUX+SCONJ": 67,
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+ "I-AUX+VERB": 68,
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+ "I-CCONJ": 69,
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+ "I-CCONJ+SCONJ": 70,
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+ "I-DET": 71,
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+ "I-INTJ": 72,
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+ "I-NOUN": 73,
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+ "I-NOUN+ADJ": 74,
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+ "I-NOUN+NOUN": 77,
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+ "I-NUM": 81,
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+ "I-NUM+NOUN": 82,
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+ "I-PROPN": 85,
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+ "I-PROPN+NOUN": 86,
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+ "I-SCONJ": 87,
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+ "I-SYM": 88,
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+ "I-VERB": 89,
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+ "I-VERB+AUX": 90,
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+ "I-VERB+AUX+AUX": 91,
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+ "I-VERB+AUX+PART": 92,
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+ "INTJ": 93,
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+ "NOUN": 94,
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+ "NOUN+ADP": 95,
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+ "NOUN+AUX": 96,
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+ "NOUN+NOUN": 97,
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+ "NOUN+NOUN+NOUN": 98,
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+ "NUM": 99,
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+ "NUM+NOUN": 100,
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+ "NUM+NOUN+NUM": 101,
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+ "PART": 102,
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+ "PRON": 103,
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+ "PRON+ADP": 104,
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+ "PROPN": 105,
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+ "PUNCT": 106,
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+ "SCONJ": 107,
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+ "SYM": 108,
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+ "VERB": 109,
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+ "VERB+AUX": 110,
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+ "VERB+AUX+PART": 111,
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+ "VERB+AUX+SCONJ": 112,
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+ "VERB+NOUN": 113
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+ },
245
+ "layer_norm_eps": 1e-07,
246
+ "max_position_embeddings": 128,
247
+ "max_relative_positions": -1,
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+ "model_type": "deberta-v2",
249
+ "num_attention_heads": 4,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
254
+ "pooler_hidden_size": 256,
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+ "pos_att_type": null,
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+ "position_biased_input": true,
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+ "relative_attention": false,
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+ "task_specific_params": {
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+ "upos_multiword": {
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+ "ADJ+ADJ": {
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+ "\u5c11\u306a\u304f\u306a\u3044": [
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+ "\u5c11\u306a\u304f",
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+ "\u306a\u3044"
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+ ]
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+ },
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+ "ADJ+AUX": {
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+ "\u679c\u6562\u306a": [
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+ "\u679c\u6562",
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+ "\u306a"
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+ ]
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+ },
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+ "ADJ+AUX+AUX": {
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+ "\u591a\u304b\u3063\u305f\u3089\u3057\u304f": [
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+ "\u591a\u304b\u3063",
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+ "\u305f",
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+ "\u3089\u3057\u304f"
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+ ]
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+ },
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+ "ADJ+NOUN": {
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+ "\u30c0\u30a4\u30ec\u30af\u30c8\u30ea\u30de\u30c3\u30c1": [
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+ "\u30c0\u30a4\u30ec\u30af\u30c8",
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+ "\u30ea\u30de\u30c3\u30c1"
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+ ],
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+ "\u30d5\u30a3\u30b8\u30ab\u30eb\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0": [
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+ "\u30d5\u30a3\u30b8\u30ab\u30eb",
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+ "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0"
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+ ]
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+ },
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+ "ADJ+PROPN": {
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+ "\u30b0\u30ec\u30a4\u30c8\u30b3\u30c3\u30af\u30b9\u30a6\u30a7\u30eb": [
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+ "\u30b0\u30ec\u30a4\u30c8",
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+ "\u30b3\u30c3\u30af\u30b9\u30a6\u30a7\u30eb"
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+ ]
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+ },
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+ "ADJ+VERB": {
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+ "\u306a\u304f\u306a\u308b": [
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+ "\u306a\u304f",
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+ "\u306a\u308b"
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+ ],
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+ "\u5c11\u306a\u304f\u306a\u3063": [
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+ "\u5c11\u306a\u304f",
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+ "\u306a\u3063"
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+ ]
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+ },
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+ "ADP+ADV": {
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+ "\u306f\u3057\u3083\u304d\u3057\u3083\u304d": [
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+ "\u306f",
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+ "\u3057\u3083\u304d\u3057\u3083\u304d"
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+ ]
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+ },
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+ "ADV+ADP": {
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+ "\u3082\u3061\u3063\u3068": [
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+ "\u3082\u3061\u3063",
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+ "\u3068"
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+ ]
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+ },
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+ "ADV+ADP+VERB": {
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+ "\u3082\u3057\u304b\u3057": [
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+ "\u3082\u3057",
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+ "\u304b",
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+ "\u3057"
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+ ]
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+ },
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+ "ADV+ADV": {
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+ "\u30bf\u30c3\u30bf\u30bf": [
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+ "\u30bf\u30c3",
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+ "\u30bf\u30bf"
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+ ]
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+ },
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+ "AUX+AUX": {
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+ "\u3059\u3079\u304d": [
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+ "\u3059",
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+ "\u3079\u304d"
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+ ],
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+ "\u3059\u3079\u304f": [
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+ "\u3059",
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+ "\u3079\u304f"
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+ ],
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+ "\u3059\u3079\u3057": [
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+ "\u3059",
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+ "\u3079\u3057"
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+ ],
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+ "\u306a\u3089\u305a": [
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+ "\u306a\u3089",
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+ "\u305a"
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+ ],
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+ "\u30c1\u30e3\u30c3\u30bf": [
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