https://github.com/JackHCC/Chinese-Tokenization

利用传统方法（N-gram，HMM等）、神经网络方法（CNN，LSTM等）和预训练方法（Bert等）的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre training methods (Bert, etc.)】
https://github.com/JackHCC/Chinese-Tokenization

bert-crf bilstm-crf hmm-viterbi-algorithm ngram nlp tokenization

Last synced: 3 months ago
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利用传统方法（N-gram，HMM等）、神经网络方法（CNN，LSTM等）和预训练方法（Bert等）的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre training methods (Bert, etc.)】

• Host: GitHub
• URL: https://github.com/JackHCC/Chinese-Tokenization
• Owner: JackHCC
• Created: 2022-04-05T13:29:47.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-06-15T15:13:11.000Z (over 2 years ago)
• Last Synced: 2024-07-30T22:12:34.701Z (3 months ago)
• Topics: bert-crf, bilstm-crf, hmm-viterbi-algorithm, ngram, nlp, tokenization
• Language: Python
• Homepage:
• Size: 45.4 MB
• Stars: 32
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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