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Japanese morphological analysis engine.

Project Description

Janome is a Japanese morphological analysis engine written in pure Python.

General documentation:

http://mocobeta.github.io/janome/en/ (English)

http://mocobeta.github.io/janome/ (Japanese)

Requirements

Python 2.7.x or 3.3+ is required.

Install

[Note] This consumes about 500 MB memory for building.

(venv) $ python setup.py install

Run

(env) $ python
>>> from janome.tokenizer import Tokenizer
>>> t = Tokenizer()
>>> for token in t.tokenize(u'すもももももももものうち'):
...     print(token)
...
すもも 名詞,一般,*,*,*,*,すもも,スモモ,スモモ
も    助詞,係助詞,*,*,*,*,も,モ,モ
もも  名詞,一般,*,*,*,*,もも,モモ,モモ
も    助詞,係助詞,*,*,*,*,も,モ,モ
もも  名詞,一般,*,*,*,*,もも,モモ,モモ
の    助詞,連体化,*,*,*,*,の,ノ,ノ
うち  名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ
(env) $ python
>>> from janome.tokenizer import Tokenizer
>>> from janome.analyzer import Analyzer
>>> from janome.charfilter import *
>>> from janome.tokenfilter import *
>>> text = u'蛇の目はPure Pythonな形態素解析器です。'
>>> char_filters = [UnicodeNormalizeCharFilter(), RegexReplaceCharFilter(u'蛇の目', u'janome')]
>>> tokenizer = Tokenizer()
>>> token_filters = [CompoundNounFilter(), POSStopFilter(['記号','助詞']), LowerCaseFilter()]
>>> a = Analyzer(char_filters, tokenizer, token_filters)
>>> for token in a.analyze(text):
...     print(token)
...
janome  名詞,固有名詞,組織,*,*,*,*,*,*
pure    名詞,固有名詞,組織,*,*,*,*,*,*
python  名詞,一般,*,*,*,*,*,*,*
な       助動詞,*,*,*,特殊・ダ,体言接続,だ,ナ,ナ
形態素解析器  名詞,複合,*,*,*,*,形態素解析器,ケイタイソカイセキキ,ケイタイソカイセキキ
です     助動詞,*,*,*,特殊・デス,基本形,です,デス,デス

License

Licensed under Apache License 2.0 and uses the MeCab-IPADIC dictionary/statistical model.

See LICENSE.txt and NOTICE.txt for license details.

Acknowledgement

Special thanks to @ikawaha, @takuyaa and @nakagami.

Release History

Release History

This version
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0.3.5

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0.3.4

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0.3.3

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0.3.2

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0.3.1

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0.3.0

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0.2.8

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0.2.7

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0.2.6

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0.2.5

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0.2.4

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0.2.3

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0.2.2

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0.2.0

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0.1.4

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0.1.3

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0.1.2

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
Janome-0.3.5.tar.gz (20.0 MB) Copy SHA256 Checksum SHA256 Source Aug 6, 2017

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