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A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29
The main features of blevesearch/segment are: Natural Language Processing, Text Tokenization.
Projects with overlapping indexed features include: go-ego/gse — Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. osamingo/shamoji — The shamoji (杓文字) is a word filtering package. awsong/mmsego — Chinese word splitting algorithm MMSEG in GO. dchest/stemmer — Stemmer packages for Go programming language. Includes English, German and Dutch stemmers. neurosnap/sentences — A multilingual command line sentence tokenizer in Golang. pebbe/textcat — A Go package for n-gram based text categorization, with support for utf-8 and raw text.
Stemmer packages for Go programming language. Includes English, German and Dutch stemmers.
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
