A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29

segment alternatives and similar packages

Based on the "Natural Language Processing" category

• prose

  8.3 1.9 segment VS prose

  A library for text processing that supports tokenization, part-of-speech tagging, named-entity extraction, and more.

• go-i18n

  7.7 7.2 segment VS go-i18n

  A package and an accompanying tool to work with localized text.

• gse

  7.6 7.9 segment VS gse

  Go efficient text segmentation; support english, chinese, japanese and other.

• gojieba

  7.4 3.9 segment VS gojieba

  This is a Go implementation of jieba which a Chinese word splitting algorithm.

• when

  7.1 2.9 segment VS when

  A natural EN and RU language date/time parser with pluggable rules

• nlp

  5.9 0.0 segment VS nlp

  Extract values from strings and fill your structs with nlp.

• whatlanggo

  5.7 4.3 segment VS whatlanggo

  A natural language detection package for Go. Supports 84 languages and 24 scripts (writing systems e.g. Latin, Cyrillic, etc).

• sentences

  5.3 2.5 segment VS sentences

  A sentence tokenizer: converts text into a list of sentences.

• universal-translator

  4.2 0.0 segment VS universal-translator

  💬 i18n Translator for Go/Golang using CLDR data + pluralization rules

• locales

  4.1 6.9 segment VS locales

  🌎 a set of locales generated from the CLDR Project which can be used independently or within an i18n package; these were built for use with, but not exclusive to https://github.com/go-playground/universal-translator

• go-nlp

  3.7 0.0 segment VS go-nlp

  Utilities for working with discrete probability distributions and other tools useful for doing NLP work.

• gounidecode

  3.5 0.0 segment VS gounidecode

  Unicode transliterator (also known as unidecode) for Go

• MMSEGO

  3.4 0.0 segment VS MMSEGO

  This is a GO implementation of MMSEG which a Chinese word splitting algorithm.

• textcat

  3.3 0.0 segment VS textcat

  A Go package for n-gram based text categorization, with support for utf-8 and raw text

• go-stem

  3.0 0.0 segment VS go-stem

  Implementation of the porter stemming algorithm.

• go-unidecode

  3.0 3.6 segment VS go-unidecode

  ASCII transliterations of Unicode text.

• RAKE.go

  2.8 0.0 segment VS RAKE.go

  A Go port of the Rapid Automatic Keyword Extraction Algorithm (RAKE)

• stemmer

  2.6 0.0 segment VS stemmer

  Stemmer packages for Go programming language. Includes English and German stemmers.

• porter2

  2.2 0.0 segment VS porter2

  Really fast Porter 2 stemmer.

• paicehusk

  2.1 0.0 segment VS paicehusk

  Golang implementation of the Paice/Husk Stemming Algorithm

• go-mystem

  2.0 0.0 segment VS go-mystem

  CGo bindings to Yandex.Mystem

• dpar

  1.7 1.6 segment VS dpar

  Transition-based statistical dependency parser.

• go2vec

  1.7 1.3 segment VS go2vec

  Reader and utility functions for word2vec embeddings.

• petrovich

  1.5 1.2 segment VS petrovich

  Petrovich is the library which inflects Russian names to given grammatical case.

• golibstemmer

  1.5 0.0 segment VS golibstemmer

  Go bindings for the snowball libstemmer library including porter 2

• snowball

  1.5 0.0 L1 segment VS snowball

  Snowball stemmer port (cgo wrapper) for Go. Provides word stem extraction functionality Snowball native.

• libtextcat

  1.4 0.0 segment VS libtextcat

  Cgo binding for libtextcat C library. Guaranteed compatibility with version 2.2.

• icu

  1.4 0.0 segment VS icu

  Cgo binding for icu4c C library detection and conversion functions. Guaranteed compatibility with version 50.1.

• shamoji

  1.0 3.5 segment VS shamoji

  The shamoji is word filtering package written in Go.

• porter

  0.7 0.0 segment VS porter

  This is a fairly straightforward port of Martin Porter's C implementation of the Porter stemming algorithm.

• go-eco

  0.4 0.0 segment VS go-eco

  Similarity, dissimilarity and distance matrices; diversity, equitability and inequality measures; species richness estimators; coenocline models.

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Popular Comparisons

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