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Go efficient multilingual NLP and text segmentation; support english, chinese, japanese and other. And supports with elasticsearch and bleve.

Build Status CircleCI Status codecov Build Status Go Report Card GoDoc GitHub release Join the chat at https://gitter.im/go-ego/ego


Gse is implements jieba by golang, and try add NLP support and more feature


  • Support common, search engine, full mode, precise mode and HMM mode multiple word segmentation modes;
  • Support user and embed dictionary, Part-of-speech/POS tagging, analyze segment info, stop and trim words
  • Support multilingual: English, Chinese, Japanese and other
  • Support traditional chinese
  • Support HMM cut text use Viterbi algorithm
  • Support NLP by TensorFlow (in work)
  • Named Entity Recognition (in work)
  • Supports with elasticsearch and bleve
  • run JSON RPC service.


  • Dictionary with double array trie (Double-Array Trie) to achieve
  • Segmenter algorithm is the shortest path (based on word frequency and dynamic programming), and DAG and HMM algorithm word segmentation.

Text Segmentation speed:


gse-bind, binding JavaScript and other, support more language.

Install / update

go get -u github.com/go-ego/gse


package main

import (


var (
	text = "Hello world, Helloworld. Winter is coming! 你好世界."

	new, _ = gse.New("zh,testdata/test_dict3.txt", "alpha")

	seg gse.Segmenter
	posSeg pos.Segmenter

func main() {
	// Loading the default dictionary
	// Loading the default dictionary with embed
	// seg.LoadDictEmbed()
	// Loading the simple chinese dictionary
	// seg.LoadDict("zh_s")
	// seg.LoadDictEmbed("zh_s")
	// Loading the traditional chinese dictionary
	// seg.LoadDict("zh_t")
	// Loading the japanese dictionary
	// seg.LoadDict("jp")
	// Load the dictionary
	// seg.LoadDict("your gopath"+"/src/github.com/go-ego/gse/data/dict/dictionary.txt")



func cut() {
	hmm := new.Cut(text, true)
	fmt.Println("cut use hmm: ", hmm)

	hmm = new.CutSearch(text, true)
	fmt.Println("cut search use hmm: ", hmm)
	fmt.Println("analyze: ", new.Analyze(hmm, text))

	hmm = new.CutAll(text)
	fmt.Println("cut all: ", hmm)

	reg := regexp.MustCompile(`(\d+年|\d+月|\d+日|[\p{Latin}]+|[\p{Hangul}]+|\d+\.\d+|[a-zA-Z0-9]+)`)
	text1 := `헬로월드 헬로 서울, 2021年09月10日, 3.14`
	hmm = seg.CutDAG(text1, reg)
	fmt.Println("Cut with hmm and regexp: ", hmm, hmm[0], hmm[6])

func analyzeAndTrim(cut []string) {
	a := seg.Analyze(cut, "")
	fmt.Println("analyze the segment: ", a)

	cut = seg.Trim(cut)
	fmt.Println("cut all: ", cut)

	fmt.Println(seg.String(text, true))
	fmt.Println(seg.Slice(text, true))

func cutPos() {
	po := seg.Pos(text, true)
	fmt.Println("pos: ", po)
	po = seg.TrimPos(po)
	fmt.Println("trim pos: ", po)

	po = posSeg.Cut(text, true)
	fmt.Println("pos: ", po)

	po = posSeg.TrimWithPos(po, "zg")
	fmt.Println("trim pos: ", po)

func segCut() {
	// Text Segmentation
	tb := []byte(text)
	fmt.Println(seg.String(text, true))

	segments := seg.Segment(tb)
	// Handle word segmentation results, search mode
	fmt.Println(gse.ToString(segments, true))

Look at an custom dictionary example

package main

import (
	_ "embed"


//go:embed test_dict3.txt
var testDict string

func main() {
	// var seg gse.Segmenter
	// seg.LoadDict("zh, testdata/test_dict.txt, testdata/test_dict1.txt")
	// seg.LoadStop()
	seg, err := gse.NewEmbed("zh, word 20 n"+testDict, "en")
	// seg.LoadDictEmbed()

	text1 := "你好世界, Hello world"
	fmt.Println(seg.Cut(text1, true))
	fmt.Println(seg.String(text1, true))

	segments := seg.Segment([]byte(text1))

Look at an Chinese example

Look at an Japanese example


How to use it with elasticsearch?



go get -u github.com/go-ego/re

re gse

To create a new gse application

$ re gse my-gse

re run

To run the application we just created, you can navigate to the application folder and execute:

$ cd my-gse && re run



Gse is primarily distributed under the terms of "both the MIT license and the Apache License (Version 2.0)". See LICENSE-APACHE, LICENSE-MIT.

Thanks for sego and jieba(jiebago).

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Go 语言高效分词, 支持英文、中文、日文等 expand collapse
Go and 2 more languages


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