musyoku/python-npycrf
条件付確率場とベイズ階層言語モデルの統合による半教師あり形態素解析
This project helps researchers and NLP practitioners accurately break down Japanese text into its constituent words, known as morphological analysis. It takes raw Japanese sentences as input and outputs the same sentences with each word clearly segmented. This tool is ideal for scientists or engineers working with natural language processing in Japanese, especially those developing advanced text analysis systems.
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Use this if you need a sophisticated tool for segmenting Japanese text into words, particularly when leveraging both labeled and unlabeled data for improved accuracy.
Not ideal if you need a pre-built, production-ready system for general Japanese text analysis, as this project is currently a work-in-progress and intended for research use.
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C++
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Last pushed
Mar 22, 2018
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