Metadata-Version: 2.1
Name: mozcpy
Version: 0.1.1
Summary: Mozc for Python: yet another Kana-Kanji converter
Home-page: https://github.com/ikegami-yukino/mozcpy
Author: Yukino Ikegami
Author-email: yknikgm@gmail.com
License: MIT License
Keywords: Kana-Kanji converter
Platform: POSIX
Platform: Windows
Platform: Unix
Platform: MacOS
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: Japanese
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Text Processing :: Linguistic
License-File: LICENSE

mozcpy
==========
|circleci| |pyversion| |version| |license|

Mozc for Python: yet another Kana-Kanji converter

INSTALLATION
==============

::

 $ pip install mozcpy


USAGE
============

.. code:: python

  import mozcpy

  converter = mozcpy.Converter()
  converter.convert('まほうしょうじょ')
  # => '魔法少女'
  converter.convert('まほうしょうじょ', n_best=10)
  # => ['魔法少女', '魔法消除', '魔法省所', '魔法小所', '魔法昇叙', '魔砲少女', 'マホウ少女', '魔法証所', '魔法賞所']

  converter.convert_wakati('もうなにもこわくない')
  # => 'もう 何 も 怖く ない'
  converter.convert_wakati('もうなにもこわくない', n_best=3)
  # => ['もう 何 も 怖く ない', 'もう 何 も こわく ない', 'もう 何 も 恐く ない']

  converter.wakati("もうなにもこわくない")
  # => 'もう なに も こわく ない'
  converter.wakati("もうなにもこわくない", n_best=10)  # duplicatetions are ignored
  # => ['もう なに も こわく ない']

ACKNOWLEDGEMENT
=================

This module relies on Mozc and MeCab.

- T. Kudo, T. Hanaoka, J. Mukai, Y. Tabata, H. Komatsu. 2011. Efficient dictionary and language model compression for input method editors. In Proceedings of the Workshop on Advances in Text Input Methods (WTIM 2011), pp 19-25.

- T. Kudo, H. Komatsu, T. Hanaoka, A. Mukai, Y. Tabata, K. Yamamoto, Y. Matsumoto. 2004. Applying Conditional Random Fields to Japanese Morphological Analysis. In Proceedings of the EMNLP 2004, pp 230-237.


.. |circleci| image:: https://dl.circleci.com/status-badge/img/gh/ikegami-yukino/mozcpy/tree/master.svg?style=svg
        :target: https://dl.circleci.com/status-badge/redirect/gh/ikegami-yukino/mozcpy/tree/master

.. |pyversion| image:: https://img.shields.io/pypi/pyversions/mozcpy.svg

.. |version| image:: https://img.shields.io/pypi/v/mozcpy.svg
    :target: http://pypi.python.org/pypi/mozcpy/
    :alt: latest version

.. |license| image:: https://img.shields.io/pypi/l/mozcpy.svg
    :target: http://pypi.python.org/pypi/mozcpy/
    :alt: license


CHANGES
=======

0.1.1 (2023-01-06)
------------------

-Fix install problem

0.1 (2022-08-22)
------------------

- First release
