Skip to content

Latest commit

 

History

History
190 lines (146 loc) · 6.27 KB

README.md

File metadata and controls

190 lines (146 loc) · 6.27 KB

GoDev Build Status Build status Coverage Status deploy demo Docker Pulls Docker Automated build

Kagome is an open source Japanese morphological analyzer written in pure golang. The dictionary/statiscal models such as MeCab-IPADIC, UniDic (unidic-mecab), Korean MeCab and so on, be able to embedded in binaries.

Improvements from v1.

  • Dictionaries are maintained in a separate repository, and only the dictionaries you need are embedded in the binay.
  • Brushed up and added several APIs.

Dictionaris

dict source package
MeCab IPADIC mecab-ipadic-2.7.0-20070801 github.com/ikawaha/kagome-dict-ipa
UniDIC unidic-mecab-2.1.2_src github.com/ikawaha/kagome-dict-uni
Korean MeCab mecab-ko-dic-2.1.1-20180720 github.com/ikawaha/kagome-dict-ko

Segmentation mode for search

Kagome has segmentation mode for search such as Kuromoji.

  • Normal: Regular segmentation
  • Search: Use a heuristic to do additional segmentation useful for search
  • Extended: Similar to search mode, but also uni-gram unknown words
Untokenized Normal Search Extended
関西国際空港 関西国際空港 関西 国際 空港 関西 国際 空港
日本経済新聞 日本経済新聞 日本 経済 新聞 日本 経済 新聞
シニアソフトウェアエンジニア シニアソフトウェアエンジニア シニア ソフトウェア エンジニア シニア ソフトウェア エンジニア
デジカメを買った デジカメ を 買っ た デジカメ を 買っ た デ ジ カ メ を 買っ た

Programming example

package main

import (
	"fmt"
	"strings"

	ipa "github.com/ikawaha/kagome-dict-ipa"
	"github.com/ikawaha/kagome/v2/tokenizer"
)

func main() {
	t, err := tokenizer.New(ipa.Dict())
	if err != nil {
		panic(err)
	}
	// wakati
	fmt.Println("---wakati---")
	seg := t.Wakati("すもももももももものうち")
	fmt.Println(seg)

	// tokenize
	fmt.Println("---tokenize---")
	tokens := t.Tokenize("すもももももももものうち")
	for _, token := range tokens {
		if token.Class == tokenizer.DUMMY {
			// BOS: Begin Of Sentence, EOS: End Of Sentence.
			fmt.Printf("%s\n", token.Surface)
			continue
		}
		features := strings.Join(token.Features(), ",")
		fmt.Printf("%s\t%v\n", token.Surface, features)
	}
}

output:

---wakati---
[すもも も もも も もも の うち]
---tokenize---
BOS
すもも	名詞,一般,*,*,*,*,すもも,スモモ,スモモ
も	助詞,係助詞,*,*,*,*,も,モ,モ
もも	名詞,一般,*,*,*,*,もも,モモ,モモ
も	助詞,係助詞,*,*,*,*,も,モ,モ
もも	名詞,一般,*,*,*,*,もも,モモ,モモ
の	助詞,連体化,*,*,*,*,の,ノ,ノ
うち	名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ
EOS

Commands

Install

go get -u github.com/ikawaha/kagome/v2/...

Usage

$ kagome -h
Japanese Morphological Analyzer -- github.com/ikawaha/kagome/v2
usage: kagome <command>
The commands are:
   [tokenize] - command line tokenize (*default)
   server - run tokenize server
   lattice - lattice viewer
   version - show version

tokenize [-file input_file] [-dict dic_file] [-userdict userdic_file] [-sysdict (ipa|uni|ko)] [-simple false] [-mode (normal|search|extended)]
  -dict string
    	dict
  -file string
    	input file
  -mode string
    	tokenize mode (normal|search|extended) (default "normal")
  -simple
    	display abbreviated dictionary contents
  -sysdict string
    	system dict type (ipa|uni|ko) (default "ipa")
  -udict string
    	user dict

Tokenize command

% kagome
すもももももももものうち
すもも	名詞,一般,*,*,*,*,すもも,スモモ,スモモ
も	助詞,係助詞,*,*,*,*,も,モ,モ
もも	名詞,一般,*,*,*,*,もも,モモ,モモ
も	助詞,係助詞,*,*,*,*,も,モ,モ
もも	名詞,一般,*,*,*,*,もも,モモ,モモ
の	助詞,連体化,*,*,*,*,の,ノ,ノ
うち	名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ
EOS

Server command

API

Start a server and try to access the "/tokenize" endpoint.

% kagome server &
% curl -XPUT localhost:6060/tokenize -d'{"sentence":"すもももももももものうち", "mode":"normal"}' | jq . 

Web App

demo

Start a server and access http://localhost:6060. (To draw a lattice, demo application uses graphviz . You need graphviz installed.)

% kagome server &

Lattice command

A debug tool of tokenize process outputs a lattice in graphviz dot format.

% kagome lattice 私は鰻 | dot -Tpng -o lattice.png

lattice

Docker

Docker

Licence

MIT