CKIP BERT Base Han Chinese WS

This model provides word segmentation 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-ws")
  model = AutoModel.from_pretrained("ckiplab/bert-base-han-chinese-ws")
  

• Using our model for inference

  >>> from transformers import pipeline
  >>> classifier = pipeline("token-classification", model="ckiplab/bert-base-han-chinese-ws")
  >>> classifier("帝堯曰放勳")
  
  # output
  [{'entity': 'B',
  'score': 0.9999793,
  'index': 1,
  'word': '帝',
  'start': 0,
  'end': 1},
  {'entity': 'I',
  'score': 0.9915047,
  'index': 2,
  'word': '堯',
  'start': 1,
  'end': 2},
  {'entity': 'B',
  'score': 0.99992275,
  'index': 3,
  'word': '曰',
  'start': 2,
  'end': 3},
  {'entity': 'B',
  'score': 0.99905187,
  'index': 4,
  'word': '放',
  'start': 3,
  'end': 4},
  {'entity': 'I',
  'score': 0.96299917,
  'index': 5,
  'word': '勳',
  'start': 4,
  'end': 5}]