kagome

README

Kagome Japanese Morphological Analyzer

Kagome is an open source Japanese morphological analyzer written in pure golang. The MeCab-IPADIC and UniDic (unidic-mecab) dictionary/statiscal models are packaged in Kagome binary.

% 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

Install

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

Usage

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

tokenize [-file input_file] [-dic dic_file] [-udic userdic_file] [-sysdic (ipa|uni)] [-mode (normal|search|extended)]
  -dic string
       dic
  -file string
       input file
  -mode string
       tokenize mode (normal|search|extended) (default "normal")
  -sysdic string
       system dic type (ipa|uni) (default "ipa")
  -udic string
       user dic

Command line mode

$ go run cmd/kagome/main.go -h

or

$ go run cmd/kagome/main.go tokenize -h

Usage of tokenize:
  -dic string
       dic
  -file string
       input file
  -mode string
       tokenize mode (normal|search|extended) (default "normal")
  -sysdic string
       system dic type (ipa|uni) (default "ipa")
  -udic string
       user dic

Server mode

$ go run cmd/kagome/main.go server -h
Usage of server:
  -http string
        HTTP service address (default ":6060")
  -sysdic string
       system dic type (ipa|uni) (default "ipa")
  -udic string
        user dictionary

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 unigram 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

HTTP service

Web API

$ kagome server -http=":8080" &
$ curl -XPUT localhost:8080/a -d'{"sentence":"すもももももももものうち", "mode":"normal"}'|jq .
{
  "status": true,
  "tokens": [
    {
      "id": 36163,
      "start": 0,
      "end": 3,
      "surface": "すもも",
      "class": "KNOWN",
      "features": [
        "名詞",
        "一般",
        "*",
        "*",
        "*",
        "*",
        "すもも",
        "スモモ",
        "スモモ"
      ]
    },
    {
      "id": 73244,
      "start": 3,
      "end": 4,
      "surface": "も",
      "class": "KNOWN",
      "features": [
        "助詞",
        "係助詞",
        "*",
        "*",
        "*",
        "*",
        "も",
        "モ",
        "モ"
      ]
    },
    {
      "id": 74989,
      "start": 4,
      "end": 6,
      "surface": "もも",
      "class": "KNOWN",
      "features": [
        "名詞",
        "一般",
        "*",
        "*",
        "*",
        "*",
        "もも",
        "モモ",
        "モモ"
      ]
    },
    {
      "id": 73244,
      "start": 6,
      "end": 7,
      "surface": "も",
      "class": "KNOWN",
      "features": [
        "助詞",
        "係助詞",
        "*",
        "*",
        "*",
        "*",
        "も",
        "モ",
        "モ"
      ]
    },
    {
      "id": 74989,
      "start": 7,
      "end": 9,
      "surface": "もも",
      "class": "KNOWN",
      "features": [
        "名詞",
        "一般",
        "*",
        "*",
        "*",
        "*",
        "もも",
        "モモ",
        "モモ"
      ]
    },
    {
      "id": 55829,
      "start": 9,
      "end": 10,
      "surface": "の",
      "class": "KNOWN",
      "features": [
        "助詞",
        "連体化",
        "*",
        "*",
        "*",
        "*",
        "の",
        "ノ",
        "ノ"
      ]
    },
    {
      "id": 8024,
      "start": 10,
      "end": 12,
      "surface": "うち",
      "class": "KNOWN",
      "features": [
        "名詞",
        "非自立",
        "副詞可能",
        "*",
        "*",
        "*",
        "うち",
        "ウチ",
        "ウチ"
      ]
    }
  ]
}

Parameters

Parameter	Type	Required	Description
sentence	string	Required	Sentenct to tokenize.
mode	string	Optional	Mode to tokenize the sentence. Default is the "normal". Selectable value is "normal", "search" or "extended".

Demo

Launch a server and access http://localhost:8888. (To draw a lattice, demo application uses graphviz . You need graphviz installed.)

$ kagome -http=":8888" &

User Dictionary

User dictionary format is same as Kuromoji. There is a sample in _sample dir.

% kagome tokenize -udic _sample/userdic.txt
第68代横綱朝青龍
第	接頭詞,数接続,*,*,*,*,第,ダイ,ダイ
68	名詞,数,*,*,*,*,*
代	名詞,接尾,助数詞,*,*,*,代,ダイ,ダイ
横綱	名詞,一般,*,*,*,*,横綱,ヨコヅナ,ヨコズナ
朝青龍	カスタム人名,朝青龍,アサショウリュウ
EOS

Utility

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

$ kagome lattice -v すもももももももものうち  |dot -Tpng -o lattice.png
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

Programming example

Below is a simple go example that demonstrates how a simple text can be segmented.

sample code:

package main

import (
	"fmt"
	"strings"

	"github.com/ikawaha/kagome/tokenizer"
)

func main() {
	t := tokenizer.New()
	tokens := t.Tokenize("寿司が食べたい。") // t.Analyze("寿司が食べたい。", tokenizer.Normal)
	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:

BOS
寿司    名詞,一般,*,*,*,*,寿司,スシ,スシ
が      助詞,格助詞,一般,*,*,*,が,ガ,ガ
食べ    動詞,自立,*,*,一段,連用形,食べる,タベ,タベ
たい    助動詞,*,*,*,特殊・タイ,基本形,たい,タイ,タイ
。      記号,句点,*,*,*,*,。,。,。
EOS

Contributing

Issues and pull requests are always welcome. Code changes are made to the develop branch. Do not make your changes against the master branch.

License

Kagome is licensed under the Apache License v2.0 and uses the MeCab-IPADIC, UniDic dictionary/statistical model. See NOTICE.txt for license details.