CKIP Transformers

Overview

• CKIP Transformers
  • Git
  • PyPI
  • Documentation
  • Demo
  • Contributers
  • Related Packages
• Models
  • Model Usage
  • Model Fine-Tunning
  • Model Performance
  • Training Corpus
• NLP Tools
  • Installation
  • NLP Tools Usage
    • 1. Import module
    • 2. Load models
    • 3. Run pipeline
    • 4. Show results
  • NLP Tools Performance
    • CKIP Transformers v.s. Monpa & Jeiba
    • CKIP Transformers v.s. CkipTagger
• License

Tables of Tags

• Part-of-Speech Tags
• Named Entity Recognition Tags

Contents

• ckip_transformers package
  • ckip_transformers.nlp package
    • ckip_transformers.nlp.driver module
      • CkipWordSegmenter
        • CkipWordSegmenter.__call__()
      • CkipPosTagger
        • CkipPosTagger.__call__()
      • CkipNerChunker
        • CkipNerChunker.__call__()
    • ckip_transformers.nlp.util module
      • CkipTokenClassification
        • CkipTokenClassification.__call__()
      • NerToken
        • NerToken.word
        • NerToken.ner
        • NerToken.__getnewargs__()
        • NerToken.__new__()
        • NerToken.__repr__()
        • NerToken.idx

Appendix

• Index
• Module Index