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PyCantonese

Project description

PyPI version Supported Python versions Build

Documentation

https://pycantonese.org

Download and install

PyCantonese is available through pip:

$ pip install --upgrade pycantonese

Setting up a Development Environment

The latest code under development is available on Github at jacksonllee/pycantonese. To obtain this version for experimental features or for development:

$ git clone https://github.com/jacksonllee/pycantonese.git
$ cd pycantonese
$ pip install -r requirements.txt
$ python setup.py develop

To run tests and styling checks:

$ py.test -vv --cov pycantonese pycantonese
$ flake8 pycantonese
$ black --check --line-length=79 pycantonese

Author

Developer: Jackson L. Lee

A talk introducing PyCantonese:

Lee, Jackson L. 2015. PyCantonese: Cantonese linguistic research in the age of big data. Talk at the Childhood Bilingualism Research Centre, Chinese University of Hong Kong. September 15. 2015. Notes+slides

Please also see CONTRIBUTORS.md.

Change Log

Please see CHANGELOG.md.

License

MIT License. Please see LICENSE.txt for details.

The HKCanCor dataset included in PyCantonese is substantially modified from its source in terms of format. The original dataset has a CC BY license. Please see pycantonese/data/hkcancor/README.md for details.

The rime-cantonese data (release 2020.09.09) is incorporated into PyCantonese for word segmentation and characters-to-Jyutping conversion. This data has a CC BY 4.0 license. Please see pycantonese/data/rime_cantonese/README.md for details.

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