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neologdn

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'
neologdn . normalize ( "無駄無駄無駄無駄ァ" , repeat = 1 )
# => '無駄ァ'
neologdn . normalize ( "1995〜2001年" , tilde = "normalize" )
# => '1995~2001年'
neologdn . normalize ( "1995~2001年" , tilde = "normalize_zenkaku" )
# => '1995〜2001年'
neologdn . normalize ( "1995〜2001年" , tilde = "ignore" )  # Don't convert tilde
# => '1995〜2001年'
neologdn . normalize ( "1995〜2001年" , tilde = "remove" )
# => '19952001年'
neologdn . normalize ( "1995〜2001年" )  # Default parameter
# => '19952001年'

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 )
# => 9.55 s ± 29.4 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)


import neologdn
% timeit normalize ( neologdn . normalize )
# => 6.66 s ± 35.8 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

neologdn is about x1.43 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.

Contribution

Contributions are welcome! See: https://github.com/ikegami-yukino/neologdn/blob/master/.github/CONTRIBUTING.md

Cited by

Book

Yamamoto Kazuhide. Elemental Techniques of Text Processing. Modern Scientists. P.41. 2021.

Blog

  • [Library introduction] Text normalization library neologdn: https://diatonic.codes/blog/neologdn/
  • Preprocessing Japanese text: neologdn, uppercase, lowercase, Unicode normalization - tuttieee's blog: https://tuttieee.hatenablog.com/entry/ja-nlp-preprocess
  • ▲Today's Function==neologdn.normalize()== - TPT Blog: https://ds-blog.tbtech.co.jp/entry/2020/05/11/%E2%96%B2%E6%9C%AC%E6%97%A5%E3%81%AE%E9%96%A2%E6%95%B0%3D%3Dneologdn_normalize%28%29%3D%3D
  • Learn about NLP: https://zenn.dev/panyoriokome/scraps/d67f68ab50c0c1
  • Calling Python library for text normalization from MATLAB #Python - Qiita: https://qiita.com/aoimidori/items/ab5a4383b5a7bb307bad
  • Introducing the preprocessing procedure for natural language processing with Python code | Introducing AI utilization and AI implementation cases | Introducing AI utilization and AI implementation cases: https://www.matrixflow.net/case-study/75/
  • Japanese preprocessing memo using python | DATUM STUDIO Co., Ltd.: https://datumstudio.jp/blog/python%E3%81%AB%E3%82%88%E3%82%8B%E6%97%A5%E6%9C%AC%E8%AA%9E%E5%89%8D%E5%87%A6%E7%90%86%E5%82%99%E5%BF%98%E9%8C%B2/
  • Pretreatment, pretreatment, and pretreatment (Natural Language Processing: Japanese Edition) | narudesu: https://note.com/narudesu/n/na35de30a583a
  • Neologd.normalize with shortcut key: https://scrapbox.io/nishio/%E3%82%B7%E3%83%A7%E3%83%BC%E3%83%88%E3%82%AB%E3%83%83%E3%83%88%E3%82%AD%E3%83%BC%E3%81%A7neologd.normalize
  • Building an environment for natural language processing using Python #Python - Qiita: https://qiita.com/lawyer_alpaca/items/86b0deda984170203467
  • Python normalize Examples: https://python.hotexamples.com/examples/neologdn/-/normalize/python-normalize-function-examples.html
  • Shishimaro Co., Ltd. (ch-4) Analysis of chABSA datasets using potential Dirichlet allocation (LDA): https://shishimaro.co.jp/blog/ai/538
  • Preprocessing Japanese documents before morpheme analysis (Python) - Ke Diary: https://ohke.hateblo.jp/entry/2019/02/09/141500
  • Make artificial intelligence understand language! ? A thorough explanation of preprocessing of data important for natural language processing using Python | AI Research Institute: https://ai-kenkyujo.com/programming/make-ai-understand-the-language/
  • Create a MeCab user dictionary that reflects the latest wikipedia - NEologd extension | Plakome: https://purakome.net/mecab/addwiki/
  • [Introduction to Natural Language Processing] Processing sentences using stop words and normalization | Mynavi Engineer Blog: https://engineerblog.mynavi.jp/technology/nlp_stopword/
  • Unified notation [Natural language processing rice cake shop]: https://www.jnlp.org/nlp/%E6%A0%A1%E6%AD%A3/%E8%A1%A8%E8%A8%98%E7%B5%B1%E4%B8%80
  • Building T5 text generation model using Pytorch - Easy practice with transfer learning in Transformers - Apprentice Data Scientist's hideaway: https://www.dskomei.com/entry/2021/09/28/110016
  • Walking with the Elephant: Easy text mining with Goolge Colab (Japanese pre-processing): https://walking-elephant.blogspot.com/2023/07/text-mining-normalized.html
  • [Let's implement Natural Language Processing (NLP) in Python! ]A thorough explanation of the knowledge you need to learn! - The forefront of Vietnam offshore development by Mattock inc.: https://mattock.jp/blog/artificial-intelligence/nlp/lets-implement-nlp-in-python/
  • tools [Digital Humanities Japan: Resource Wiki]: https://dhjapan.org/wiki/doku.php?id=tools
  • I looked up modern seasonal words in Python | Aidemy | Aidemy AI programming learning service starting in 10 seconds [Idemy]: https://aidemy.net/magazine/703/
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