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

Note: IPADIC is MeCab's so-called "standard dictionary" and is characterized by its ability to split morphological units more intuitively than UniDIC. In contrast, UniDIC breaks phrases into smaller example sentence units to create metadata for full-text search. For more details, see the wiki.

Experimental Features

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

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

• For more examples, see the examples directory.

Reference

Commands

Install

• Go

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

• Homebrew

  # macOS and Linux (for both AMD64 and ARM64)
  brew install ikawaha/kagome/kagome
  

• Docker

  • See the Docker section below

• Manual Install

  • For manual installation, download and extract the appropriate archived file for your OS and architecture from the releases page.
  • Note that the extracted binary must be placed in an accessible directory with execution permission.

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 user_dic_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/REPL 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

GitHub Page: https://ikawaha.github.io/kagome/

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

# Compatible architectures: AMD64, Arm64, Arm32 (Arm v5, v6 and v7)
docker pull ikawaha/kagome:latest

# Alternatively, you can pull from GitHub Container Registry
docker pull ghcr.io/ikawaha/kagome:latest

# Interactive/REPL mode
docker run --rm -it ikawaha/kagome:latest

# If pulling from GitHub Container Registry
docker run --rm -it ghcr.io/ikawaha/kagome:latest

# Server mode (http://localhost:6060)
docker run --rm -p 6060:6060 ikawaha/kagome:latest server

# If pulling from GitHub Container Registry
docker run --rm -p 6060:6060 ghcr.io/ikawaha/kagome:latest server

Building to WebAssembly

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

Licence

MIT