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Programming language: Go
License: MIT License
Latest version: v2.3.4

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README

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Kagome v2

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

Improvements from v1.

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

Dictionaries

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

Experimental Features

dict source package
mecab-ipadic-NEologd mecab-ipadic-neologd github.com/ikawaha/kagome-ipa-neologd
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"

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

func main() {
    t, err := tokenizer.New(ipa.Dict(), tokenizer.OmitBosEos())
    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 {
        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---
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

Reference

実践:形態素解析 kagome v2

Commands

Install

Go

go install github.com/ikawaha/kagome/v2@latest

Homebrew tap

brew install ikawaha/kagome/kagome

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
   sentence - tiny sentence splitter
   version - show version

tokenize [-file input_file] [-dict dic_file] [-userdict userdic_file] [-sysdict (ipa|uni)] [-simple false] [-mode (normal|search|extended)] [-split] [-json]
  -dict string
        dict
  -file string
        input file
  -json
        outputs in JSON format
  -mode string
        tokenize mode (normal|search|extended) (default "normal")
  -simple
        display abbreviated dictionary contents
  -split
        use tiny sentence splitter
  -sysdict string
        system dict type (ipa|uni) (default "ipa")
  -udict string
        user dict

Tokenize command

% # interactive mode
% 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
% # piped standard input
echo "すもももももももものうち" | kagome
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
% # JSON output
% echo "猫" | kagome -json | jq .
[
  {
    "id": 286994,
    "start": 0,
    "end": 1,
    "surface": "猫",
    "class": "KNOWN",
    "pos": [
      "名詞",
      "一般",
      "*",
      "*"
    ],
    "base_form": "猫",
    "reading": "ネコ",
    "pronunciation": "ネコ",
    "features": [
      "名詞",
      "一般",
      "*",
      "*",
      "*",
      "*",
      "猫",
      "ネコ",
      "ネコ"
    ]
  }
]
echo "私ははにわよわわわんわん" | kagome -json | jq -r '.[].pronunciation'
ワタシ
ワ
ハニワ
ヨ
ワ
ワ
ワンワン

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

webapp

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

Building to WebAssembly

You can see how kagome wasm works in demo site. The source code can be found in ./sample/wasm.

Licence

MIT