Here are
121 public repositories
matching this topic...
Neologism dictionary based on the language resources on the Web for mecab-ipadic
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Aug 20, 2020
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Shell
Japanese language library for converting Japanese sentence to Hiragana, Katakana or Romaji with furigana and okurigana modes supported.
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Jun 12, 2020
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JavaScript
aim to use JapaneseTokenizer as easy as possible
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Mar 25, 2019
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Python
🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.
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Aug 23, 2020
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Python
与えられた文章の中から韻を踏んでいるフレーズの組み合わせを見つけ出すライブラリです。
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Jul 18, 2016
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Ruby
This repository is for building Windows 64-bit MeCab binary and improving MeCab Python binding.
Asynchronous japanese morphological analyser using MeCab.
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Oct 29, 2017
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JavaScript
A Cython MeCab wrapper for fast, pythonic Japanese tokenization and morphological analysis.
MeCab(Japanese Morphological Analyzer) wrapper for Swift
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Apr 19, 2018
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Swift
A php Japanese language text analyzer and parser.
An extension for middleman-blog that adds method to lookup similar article.
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Jun 16, 2020
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Ruby
Neologism dictionary based on the language resources on the Web for mecab-unidic
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Aug 20, 2020
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Shell
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Dec 3, 2018
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JavaScript
MeCab-Ko builds using Microsoft Visual C++
A Japanese morphological analysis engine for .NET Core.
A repository to bind mecab for Python 3.5+. Not using swig nor pybind. (Not Maintained Now)
mecab-python for mecab-ko-msvc
These scripts to build a Lucene Kuromoji or Atilika Kuromoji with bundled mecab-ipadic-NEologd.
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Apr 16, 2020
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Shell
mecab-ko-dic for mecab-ko-msvc
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Nov 2, 2019
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Shell
🇯🇵 mpv scripts to optimize language learning through immersion
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Aug 24, 2020
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TypeScript
MeCab bindings for Common Lisp
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Oct 4, 2018
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Common Lisp
Dockerized MeCab API Server
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Feb 5, 2019
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Python
tokenize text and separate it into words for Japanese
A Elixir library for translating between hiragana, katakana, romaji, kanji and sound. It uses Mecab.
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May 13, 2018
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Elixir
natural language processing for japanese
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Dec 4, 2017
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Python
Gradient Boosting Dicision Tree(LightGBM)を用い、教師ありで自然言語の分かちと形態素の推定を学習&予想します。名称は珊瑚(sango)にしたい
BERT models with tokenization for Japanese texts.
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Nov 15, 2019
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Python
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Feb 16, 2020
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Python
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