gotokenizer alternatives and similar packages
Based on the "Natural Language Processing" category.
Alternatively, view gotokenizer alternatives based on common mentions on social networks and blogs.
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prose
DISCONTINUED. :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction. -
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gse
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. -
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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 -
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go-nlp
DISCONTINUED. Utilities for working with discrete probability distributions and other tools useful for doing NLP work. -
segment
A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29 -
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go-localize
i18n (Internationalization and localization) engine written in Go, used for translating locale strings. -
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README
gotokenizer 
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)
Motivation
I wanted a simple tokenizer that has no unnecessary overhead using the standard library only, following good practices and well tested code.
Features
- Support Maximum Matching Method
- Support Minimum Matching Method
- Support Reverse Maximum Matching
- Support Reverse Minimum Matching
- Support Bidirectional Maximum Matching
- Support Bidirectional Minimum Matching
- Support using Stop Tokens
- Support Custom word Filter
Installation
go get -u github.com/xujiajun/gotokenizer
Usage
package main
import (
"fmt"
"github.com/xujiajun/gotokenizer"
)
func main() {
text := "gotokenizer是一款基于字典和Bigram模型纯go语言编写的分词器，支持6种分词算法。支持stopToken过滤和自定义word过滤功能。"
dictPath := "/Users/xujiajun/go/src/github.com/xujiajun/gotokenizer/data/zh/dict.txt"
// NewMaxMatch default wordFilter is NumAndLetterWordFilter
mm := gotokenizer.NewMaxMatch(dictPath)
// load dict
mm.LoadDict()
fmt.Println(mm.Get(text)) //[gotokenizer 是 一款 基于 字典 和 Bigram 模型 纯 go 语言 编写 的 分词器 ， 支持 6 种 分词 算法 。 支持 stopToken 过滤 和 自定义 word 过滤 功能 。] <nil>
// enabled filter stop tokens
mm.EnabledFilterStopToken = true
mm.StopTokens = gotokenizer.NewStopTokens()
stopTokenDicPath := "/Users/xujiajun/go/src/github.com/xujiajun/gotokenizer/data/zh/stop_tokens.txt"
mm.StopTokens.Load(stopTokenDicPath)
fmt.Println(mm.Get(text)) //[gotokenizer 一款 字典 Bigram 模型 go 语言 编写 分词器 支持 6 种 分词 算法 支持 stopToken 过滤 自定义 word 过滤 功能] <nil>
fmt.Println(mm.GetFrequency(text)) //map[6:1 种:1 算法:1 过滤:2 支持:2 Bigram:1 模型:1 编写:1 gotokenizer:1 go:1 分词器:1 分词:1 word:1 功能:1 一款:1 语言:1 stopToken:1 自定义:1 字典:1] <nil>
}
More examples see tests
Contributing
If you'd like to help out with the project. You can put up a Pull Request.
Author
License
The gotokenizer is open-sourced software licensed under the Apache-2.0
Acknowledgements
This package is inspired by the following:
*Note that all licence references and agreements mentioned in the gotokenizer README section above
are relevant to that project's source code only.