Release v5.0.0

ginza-5.0.0

• 2021-08-26, Demantoid
• Important changes
  • Upgrade spaCy to v3
    • Release transformer-based ja-ginza-electra model
    • Improve UPOS accuracy of the standard ja-ginza model by adding morphologizer to the tail of spaCy pipleline
  • Need to insrtall analysis model along with ginza package
    • High accuracy model (>=16GB memory needed)
      • pip install -U ginza ja-ginza-electra
    • Speed oriented model
      • pip install -U ginza ja-ginza
  • Change component names of CompoundSplitter and BunsetuRecognizer to compound_splitter and bunsetu_recognizer respectively
  • Also see spaCy v3 Backwards Incompatibilities
• Improvements
  • Add command line options
    • -n
      • Force using SudachiPy's normalized_form as Token.lemma_
    • -m (ja_ginza|ja_ginza_electra)
      • Select model package
  • Revise ENE category name
    • Degital_Game to Digital_Game