Metadata-Version: 2.1
Name: mecab-ko-dic
Version: 1.0.0
Summary: mecab-ko-dic packaged for Python
Home-page: https://github.com/LuminosoInsight/mecab-ko-dic
Author: Robyn Speer
Author-email: rspeer@luminoso.com
License: UNKNOWN
Description: # mecab-ko-dic
        
        This is a Korean dictionary for the MeCab tokenizer, packaged for use in Python
        with [mecab-python3](https://github.com/SamuraiT/mecab-python3) or
        [fugashi](https://github.com/polm/fugashi). 
        
        
        ## Should you use this?
        
        We (at Luminoso) think this is probably a better way to find tokens in Korean
        words than just splitting the text on spaces would be. We also know that MeCab
        wasn't designed for Korean. But it gives us the kind of tokens we need better
        than other things we've tried.
        
        One reason we're packaging this is to use it in [wordfreq][], which needs to
        have a reasonable set of consistent tokens so it can look up their frequencies,
        and already uses MeCab for Japanese.
        
        [wordfreq]: https://github.com/LuminosoInsight/wordfreq
        
        If interoperability with things that already use MeCab is not your goal, you
        probably have better options for Korean NLP than this.
        
        
        ## Credits
        
        The dictionary data was created by Yongwoon Lee and Yungho Yu. We've included it
        as part of this package under the terms of the Apache License 2.0. The original
        dictionary can be found [here][original-dict].
        
        The idea to package a MeCab dictionary as a Python repository, as well as the
        code structure for doing so, come from [Paul McCann's ipadic package][ipadic-py].
        
        [original-dict]: https://bitbucket.org/eunjeon/mecab-ko-dic/
        [ipadic-py]: https://github.com/polm/ipadic-py
        
        
        ## Usage
        
        To install:
        
            pip install mecab-ko-dic
        
        To initialize with mecab-python3:
        
            import MeCab
            import mecab_ko_dic
            tagger = MeCab.Tagger(mecab_ko_dic.MECAB_ARGS)
            print(tagger.parse("안녕하세요세계."))
        
        
        ## License
        
        The data we use, and this code repository itself, are released under the Apache
        License 2.0. See the LICENSE.txt file included in this distribution.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: Korean
Description-Content-Type: text/markdown
