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NLP libraries in Chinese, Japanese (#2104)

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* Add go-pinyin

* Add kagome

* Make descriptions for go-pinyin and kagome simpler
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Heungsub Lee 2018-10-04 04:19:56 +09:00 committed by Jessica Temporal
parent 050c25f6b7
commit 6f1a9c721e
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@ -912,6 +912,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [go-i18n](https://github.com/nicksnyder/go-i18n/) - Package and an accompanying tool to work with localized text.
* [go-mystem](https://github.com/dveselov/mystem) - CGo bindings to Yandex.Mystem - russian morphology analyzer.
* [go-nlp](https://github.com/nuance/go-nlp) - Utilities for working with discrete probability distributions and other tools useful for doing NLP work.
* [go-pinyin](https://github.com/mozillazg/go-pinyin) - CN Hanzi to Hanyu Pinyin converter.
* [go-stem](https://github.com/agonopol/go-stem) - Implementation of the porter stemming algorithm.
* [go-unidecode](https://github.com/mozillazg/go-unidecode) - ASCII transliterations of Unicode text.
* [go2vec](https://github.com/danieldk/go2vec) - Reader and utility functions for word2vec embeddings.
@ -920,6 +921,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [gounidecode](https://github.com/fiam/gounidecode) - Unicode transliterator (also known as unidecode) for Go.
* [gse](https://github.com/go-ego/gse) - Go efficient text segmentation; support english, chinese, japanese and other.
* [icu](https://github.com/goodsign/icu) - Cgo binding for icu4c C library detection and conversion functions. Guaranteed compatibility with version 50.1.
* [kagome](https://github.com/ikawaha/kagome) - JP morphological analyzer written in pure Go.
* [libtextcat](https://github.com/goodsign/libtextcat) - Cgo binding for libtextcat C library. Guaranteed compatibility with version 2.2.
* [MMSEGO](https://github.com/awsong/MMSEGO) - This is a GO implementation of [MMSEG](http://technology.chtsai.org/mmseg/) which a Chinese word splitting algorithm.
* [nlp](https://github.com/Shixzie/nlp) - Extract values from strings and fill your structs with nlp.