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README
Apache-2.0

gse

Go 高性能多语言 NLP 和分词, 支持英文、中文、日文等, 支持接入 elasticsearchbleve

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

Gse 是结巴分词(jieba)的 golang 实现, 并尝试添加 NLP 功能和更多属性

特征:

  • 支持普通、搜索引擎、全模式、精确模式和 HMM 模式多种分词模式
  • 支持自定义词典、embed 词典、词性标注、停用词、整理分析分词
  • 多语言支持: 英文, 中文, 日文等
  • 支持繁体字
  • NLP 和 TensorFlow 支持 (进行中)
  • 命名实体识别 (进行中)
  • 支持接入 Elasticsearch 和 bleve
  • 可运行 JSON RPC 服务

算法:

  • 词典用双数组 trie(Double-Array Trie)实现,
  • 分词器算法为基于词频的最短路径加动态规划, 以及 DAG 和 HMM 算法分词.
  • 支持 HMM 分词, 使用 viterbi 算法.

分词速度:

Binding:

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

安装/更新

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

使用

package main

import (
	"fmt"
	"regexp"

	"github.com/go-ego/gse"
	"github.com/go-ego/gse/hmm/pos"
)

var (
	seg gse.Segmenter
	posSeg pos.Segmenter

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

	text = "你好世界, Hello world, Helloworld."
)

func main() {
	// 加载默认词典
	seg.LoadDict()
	// 加载默认 embed 词典
	// seg.LoadDictEmbed()
	// 
	// 加载简体中文词典
	// seg.LoadDict("zh_s")
	// seg.LoadDictEmbed("zh_s")
	// 
	// 加载繁体中文词典
	// seg.LoadDict("zh_t")
	// 
	// 加载日文词典
	// seg.LoadDict("jp")
	// 
	// 载入词典
	// seg.LoadDict("your gopath"+"/src/github.com/go-ego/gse/data/dict/dictionary.txt")

	cut()

	segCut()
}


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)

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

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

func segCut() {
	// 分词文本
	tb := []byte("山达尔星联邦共和国联邦政府")

	// 处理分词结果
	fmt.Println("输出分词结果, 类型为字符串, 使用搜索模式: ", seg.String(tb, true))
	fmt.Println("输出分词结果, 类型为 slice: ", seg.Slice(tb))

	segments := seg.Segment(tb)
	// 处理分词结果, 普通模式
	fmt.Println(gse.ToString(segments))

	segments1 := seg.Segment([]byte(text))
	// 搜索模式
	fmt.Println(gse.ToString(segments1, true))
}

自定义词典分词示例


package main

import (
	"fmt"
	_ "embed"

	"github.com/go-ego/gse"
)

//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()
	seg.LoadStopEmbed()

	text1 := "所以, 你好, 再见"
	fmt.Println(seg.Cut(text1, true))
	fmt.Println(seg.String(text1, true))

	segments := seg.Segment([]byte(text1))
	fmt.Println(gse.ToString(segments))
}

中文分词示例

日文分词示例

Elasticsearch

How to use it with elasticsearch?

go-gse-elastic

Build-tools

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

re gse

创建一个新的 gse 程序

$ re gse my-gse

re run

运行我们刚刚创建的应用程序, CD 到程序文件夹并执行:

$ cd my-gse && re run

Authors

License

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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简介

Go 语言高效分词, 支持英文、中文、日文等 展开 收起
Go 等 2 种语言
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