v4.0.0

The major version bump from v3 to v4 is due to backward-incompatible yet minor
API changes triggered by the switch from the PyLangAcq + wordseg
dependencies to Rustling for handing CHAT data, word segmentation, and
part-of-speech tagging.

Added

• Added the new function jyutping_to_ipa for Jyutping-to-IPA conversion.
• The characters_to_jyutping function can now take a list of strings as input
  with user-provided word segmentation.
• Added support for Python 3.11, 3.12, 3.13, and 3.14.

Changed

• Switched to Rustling as the underlying engine
  for CHAT data parsing, word segmentation, and part-of-speech tagging;
  dropped PyLangAcq and wordseg as dependencies.
• CHATReader has been renamed CHAT and switched from PyLangAcq's legacy pure-Python
  parser to a Rust-based parser from Rustling, with various API changes
  for method names, arguments, etc.
• The word segmentation model has been updated to a semi-supervised hybrid approach
  that combines a DAG and hidden Markov model.
  The segment function for word segmentation no longer accepts an argument
  for a custom segmenter.
• For both word segmentation and part-of-speech tagging, the persisted models
  shipped with the package are now zstd-compressed FlatBuffers binaries.

Removed

• Dropped support for Python 3.7, 3.8, and 3.9.

Fixed

• Fixed word segmentation so that spaces between English words
  in the user input are now honored as word boundaries.
• If parse_text is given an empty input or None,
  now an empty CHAT instance is returned.
• If parse_text is given a non-empty list of utterances,
  then any empty utterance (e.g., None, "")
  will now be represented by an empty Utterance instance inside the resulting CHAT output.
• Fixed the HKCanCor-to-UD mapping for G1 mapped to VERB not V.