go-mystem alternatives and similar packages
Based on the "Natural Language Processing" category.
Alternatively, view go-mystem 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. -
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 -
segment
A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29 -
go-nlp
DISCONTINUED. Utilities for working with discrete probability distributions and other tools useful for doing NLP work. -
go-localize
i18n (Internationalization and localization) engine written in Go, used for translating locale strings. -
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gotokenizer
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)
InfluxDB - Purpose built for real-time analytics at any scale.
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README
go-mystem 
CGo bindings to Yandex.Mystem - russian morphology analyzer.
Install
$ wget https://github.com/yandex/tomita-parser/releases/download/v1.0/libmystem_c_binding.so.linux_x64.zip
$ unzip libmystem_c_binding.so.linux_x64.zip
$ sudo cp libmystem_c_binding.so /usr/lib/
$ sudo ln -s /usr/lib/libmystem_c_binding.so /usr/lib/libmystem_c_binding.so.1
$ go get -u github.com/dveselov/mystem
Usage
package main
import (
"fmt"
)
import "github.com/dveselov/mystem"
func main() {
analyses := mystem.NewAnalyses("маша")
defer analyses.Close()
fmt.Println(fmt.Sprintf("Analyze of '%s':", "маша"))
for i := 0; i < analyses.Count(); i++ {
lemma := analyses.GetLemma(i)
grammemes := lemma.StemGram()
fmt.Println(fmt.Sprintf("%d. %s - %v", i+1, lemma.Text(), grammemes))
}
}
Output'll looks like this:
Analyze of 'маша':
1. маша - [136 155 191 201]
2. махать - [137 196 206]
License
Source code of go-mystem is licensed under MIT license, but Yandex.Mystem have their own EULA (allows commercial use), that you must accept.
*Note that all licence references and agreements mentioned in the go-mystem README section above
are relevant to that project's source code only.