kagome

Self-contained Japanese Morphological Analyzer written in pure Go

Programming language: Go

License: MIT License

Tags: Natural Language Processing    

Latest version: v2.3.4

README

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

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

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

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