Metadata-Version: 2.1
Name: pycantonese
Version: 2.3.0
Summary: PyCantonese
Home-page: http://pycantonese.org/
Author: Jackson L. Lee
Author-email: jacksonlunlee@gmail.com
License: MIT License
Description: PyCantonese: Cantonese Linguistics and NLP in Python
        ====================================================
        
        .. image:: https://badge.fury.io/py/pycantonese.svg
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           :alt: PyPI version
        
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           :target: https://pypi.python.org/pypi/pycantonese
           :alt: Supported Python versions
        
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           :target: https://travis-ci.org/pycantonese/pycantonese
           :alt: Build
        
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           :target: https://landscape.io/github/pycantonese/pycantonese/master
           :alt: Code Health
        
        
        Documentation
        -------------
        
        `http://pycantonese.org <http://pycantonese.org>`_
        
        
        Download and install
        --------------------
        
        PyCantonese is available through pip:
        
        .. code-block:: bash
        
           $ pip install -U pycantonese
        
        
        Setting up a Development Environment
        ------------------------------------
        
        The latest code under development is available on Github at
        `jacksonllee/pycantonese <https://github.com/jacksonllee/pycantonese>`_.
        To obtain this version for experimental features or for development:
        
        .. code-block:: bash
        
           $ git clone https://github.com/jacksonllee/pycantonese.git
           $ cd pycantonese
           $ pip install -r requirements.txt
           $ pip install -r dev-requirements.txt
           $ python setup.py develop
        
        To run tests:
        
        .. code-block:: bash
        
           $ py.test -vv --cov pycantonese pycantonese
           $ flake8 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 <http://pycantonese.org/papers/Lee-pycantonese-2015.html>`_
        
        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.
Keywords: computational linguistics,natural language processing,NLP,Cantonese,linguistics,corpora,speech,language,Chinese,Jyutping
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: Chinese (Traditional)
Classifier: Natural Language :: Cantonese
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Human Machine Interfaces
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Filters
Classifier: Topic :: Text Processing :: General
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
