gojieba alternatives and similar packages
Based on the "Natural Language Processing" category.
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DISCONTINUED. :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction. -
gse
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universal-translator
:speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules -
locales
:earth_americas: 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 -
segment
A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29 -
go-nlp
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go-localize
i18n (Internationalization and localization) engine written in Go, used for translating locale strings. -
gotokenizer
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)
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README
GoJieba [English](README_EN.md)
GoJieba是"结巴"中文分词的Golang语言版本。
简介
- 支持多种分词方式,包括: 最大概率模式, HMM新词发现模式, 搜索引擎模式, 全模式
- 核心算法底层由C++实现,性能高效。
- 字典路径可配置,NewJieba(...string), NewExtractor(...string) 可变形参,当参数为空时使用默认词典(推荐方式)
用法
go get github.com/yanyiwu/gojieba
分词示例
package main
import (
"fmt"
"strings"
"github.com/yanyiwu/gojieba"
)
func main() {
var s string
var words []string
use_hmm := true
x := gojieba.NewJieba()
defer x.Free()
s = "我来到北京清华大学"
words = x.CutAll(s)
fmt.Println(s)
fmt.Println("全模式:", strings.Join(words, "/"))
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("精确模式:", strings.Join(words, "/"))
s = "比特币"
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("精确模式:", strings.Join(words, "/"))
x.AddWord("比特币")
s = "比特币"
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("添加词典后,精确模式:", strings.Join(words, "/"))
s = "他来到了网易杭研大厦"
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("新词识别:", strings.Join(words, "/"))
s = "小明硕士毕业于中国科学院计算所,后在日本京都大学深造"
words = x.CutForSearch(s, use_hmm)
fmt.Println(s)
fmt.Println("搜索引擎模式:", strings.Join(words, "/"))
s = "长春市长春药店"
words = x.Tag(s)
fmt.Println(s)
fmt.Println("词性标注:", strings.Join(words, ","))
s = "区块链"
words = x.Tag(s)
fmt.Println(s)
fmt.Println("词性标注:", strings.Join(words, ","))
s = "长江大桥"
words = x.CutForSearch(s, !use_hmm)
fmt.Println(s)
fmt.Println("搜索引擎模式:", strings.Join(words, "/"))
wordinfos := x.Tokenize(s, gojieba.SearchMode, !use_hmm)
fmt.Println(s)
fmt.Println("Tokenize:(搜索引擎模式)", wordinfos)
wordinfos = x.Tokenize(s, gojieba.DefaultMode, !use_hmm)
fmt.Println(s)
fmt.Println("Tokenize:(默认模式)", wordinfos)
keywords := x.ExtractWithWeight(s, 5)
fmt.Println("Extract:", keywords)
}
我来到北京清华大学
全模式: 我/来到/北京/清华/清华大学/华大/大学
我来到北京清华大学
精确模式: 我/来到/北京/清华大学
比特币
精确模式: 比特/币
比特币
添加词典后,精确模式: 比特币
他来到了网易杭研大厦
新词识别: 他/来到/了/网易/杭研/大厦
小明硕士毕业于中国科学院计算所,后在日本京都大学深造
搜索引擎模式: 小明/硕士/毕业/于/中国/科学/学院/科学院/中国科学院/计算/计算所/,/后/在/日本/京都/大学/日本京都大学/深造
长春市长春药店
词性标注: 长春市/ns,长春/ns,药店/n
区块链
词性标注: 区块链/nz
长江大桥
搜索引擎模式: 长江/大桥/长江大桥
长江大桥
Tokenize: [{长江 0 6} {大桥 6 12} {长江大桥 0 12}]
See example in [jieba_test](jieba_test.go), [extractor_test](extractor_test.go)
Benchmark
Unittest
go test ./...
Benchmark
go test -bench "Jieba" -test.benchtime 10s
go test -bench "Extractor" -test.benchtime 10s
Contributors
Code Contributors
This project exists thanks to all the people who contribute.
Contact
- Email:
[email protected]
*Note that all licence references and agreements mentioned in the gojieba README section above
are relevant to that project's source code only.