ckiplab / bert-base-han-chinese-pos

CKIP BERT Base Han Chinese POS

This model provides part-of-speech (POS) tagging for the ancient Chinese language. Our training dataset covers four eras of the Chinese language.

Homepage

• ckiplab/han-transformers

Training Datasets

The copyright of the datasets belongs to the Institute of Linguistics, Academia Sinica.

• 中央研究院上古漢語標記語料庫
• 中央研究院中古漢語語料庫
• 中央研究院近代漢語語料庫
• 中央研究院現代漢語語料庫

Contributors

• Chin-Tung Lin at CKIP

Usage

• Using our model in your script

  from transformers import (
    AutoTokenizer,
    AutoModel,
  )
  
  tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-han-chinese-pos")
  model = AutoModel.from_pretrained("ckiplab/bert-base-han-chinese-pos")
  

• Using our model for inference

  >>> from transformers import pipeline
  >>> classifier = pipeline("token-classification", model="ckiplab/bert-base-han-chinese-pos")
  >>> classifier("帝堯曰放勳")
  
  [{'entity': 'NB1',
    'score': 0.99410427,
    'index': 1,
    'word': '帝',
    'start': 0,
    'end': 1},
   {'entity': 'NB1',
    'score': 0.98874336,
    'index': 2,
    'word': '堯',
    'start': 1,
    'end': 2},
   {'entity': 'VG',
    'score': 0.97059363,
    'index': 3,
    'word': '曰',
    'start': 2,
    'end': 3},
   {'entity': 'NB1',
    'score': 0.9864504,
    'index': 4,
    'word': '放',
    'start': 3,
    'end': 4},
   {'entity': 'NB1',
    'score': 0.9543974,
    'index': 5,
    'word': '勳',
    'start': 4,
    'end': 5}]