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Merge pull request #689 from neurosnap/master

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Add sentences package.
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Dmitri Shuralyov 2015-11-27 14:24:59 -08:00
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@ -537,6 +537,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [porter](https://github.com/a2800276/porter) - This is a fairly straighforward port of Martin Porter's C implementation of the Porter stemming algorithm. * [porter](https://github.com/a2800276/porter) - This is a fairly straighforward port of Martin Porter's C implementation of the Porter stemming algorithm.
* [porter2](https://github.com/zhenjl/porter2) - Really fast Porter 2 stemmer. * [porter2](https://github.com/zhenjl/porter2) - Really fast Porter 2 stemmer.
* [segment](https://github.com/blevesearch/segment) - A Go library for performing Unicode Text Segmentation as described in [Unicode Standard Annex #29](http://www.unicode.org/reports/tr29/) * [segment](https://github.com/blevesearch/segment) - A Go library for performing Unicode Text Segmentation as described in [Unicode Standard Annex #29](http://www.unicode.org/reports/tr29/)
* [sentences](https://github.com/neurosnap/sentences) - A sentence tokenizer: converts text into a list of sentences.
* [snowball](https://github.com/goodsign/snowball) - Snowball stemmer port (cgo wrapper) for Go. Provides word stem extraction functionality [Snowball native](http://snowball.tartarus.org/). * [snowball](https://github.com/goodsign/snowball) - Snowball stemmer port (cgo wrapper) for Go. Provides word stem extraction functionality [Snowball native](http://snowball.tartarus.org/).
* [stemmer](https://github.com/dchest/stemmer) - Stemmer packages for Go programming language. Includes English and German stemmers. * [stemmer](https://github.com/dchest/stemmer) - Stemmer packages for Go programming language. Includes English and German stemmers.
* [textcat](https://github.com/pebbe/textcat) - A Go package for n-gram based text categorization, with support for utf-8 and raw text * [textcat](https://github.com/pebbe/textcat) - A Go package for n-gram based text categorization, with support for utf-8 and raw text