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neologdn

travis-ci.org pyversion latest version Code Health license

neologdn is a Japanese text normalizer for mecab-neologd.

The normalization is based on the neologd's rules: https://github.com/neologd/mecab-ipadic-neologd/wiki/Regexp.ja

Contributions are welcome!

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

Installation

$ pip install neologdn

Usage

import neologdn
neologdn.normalize("ハンカクカナ")
# => 'ハンカクカナ'
neologdn.normalize("全角記号!?@#")
# => '全角記号!?@#'
neologdn.normalize("全角記号例外「・」")
# => '全角記号例外「・」'
neologdn.normalize("長音短縮ウェーーーーイ")
# => '長音短縮ウェーイ'
neologdn.normalize("チルダ削除ウェ~∼∾〜〰~イ")
# => 'チルダ削除ウェイ'
neologdn.normalize("いろんなハイフン˗֊‐‑‒–⁃⁻₋−")
# => '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'

Benchmark

# Sample code from
# https://github.com/neologd/mecab-ipadic-neologd/wiki/Regexp.ja#python-written-by-hideaki-t--overlast
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: https://github.com/ikegami-yukino/neologdn/blob/master/benchmark/benchmark.ipynb

License

Apache Software License.

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Japanese text normalizer for mecab-neologd

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