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Japanese text normalizer for mecab-neologd

Project description

neologdn pyversion latest version Code Health license

neologdn is a Japanese text normalizer for mecab-neologd.

The normalization is based on the neologd’s rules:

Contributions are welcome!

NOTE: Installing this module requires C++11 compiler.


$ pip install neologdn


import neologdn
# => 'ハンカクカナ'
# => '全角記号!?@#'
# => '全角記号例外「・」'
# => '長音短縮ウェーイ'
# => 'チルダ削除ウェイ'
# => 'いろんなハイフン-'
neologdn.normalize("   PRML  副 読 本   ")
# => 'PRML副読本'
neologdn.normalize(" Natural Language Processing ")
# => 'Natural Language Processing'
neologdn.normalize("かわいいいいいいいいい", repeat=6)
# => 'かわいいいいいい'
neologdn.normalize("無駄無駄無駄無駄ァ", repeat=1)
# => '無駄ァ'


# Sample code from
import normalize_neologd

%timeit normalize(normalize_neologd.normalize_neologd)
# => 1 loop, best of 3: 18.3 s per loop

import neologdn
%timeit normalize(neologdn.normalize)
# => 1 loop, best of 3: 9.05 s per loop

neologdn is about x2 faster than sample code.

details are described as the below notebook:


Apache Software License.


0.4 (2018-12-06)

  • Add shorten_repeat function, which shortening contiguous substring. For example: neologdn.normalize(“無駄無駄無駄無駄ァ”, repeat=1) -> 無駄ァ

0.3.2 (2018-05-17)

  • Add option for suppression removal of spaces between Japanese characters

0.2.2 (2018-03-10)

  • Fix bug (daku-ten & handaku-ten)

  • Support mac osx 10.13 (Many thanks @r9y9)

0.2.1 (2017-01-23)

  • Fix bug (Check if a previous character of daku-ten character is in maps) (Many thanks @unnonouno)

0.2 (2016-04-12)

  • Add lengthened expression (repeating character) threshold

0.1.2 (2016-03-29)

  • Fix installation bug (2016-03-19)

  • Support Windows

  • Explicitly specify to -std=c++11 in build (Many thanks @id774)

0.1.1 (2015-10-10)

Initial release.

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