A Japanese morphological analysis command-line interface for Lindera. This project fork from fulmicoton's kuromoji-rs.
% cargo install lindera-cli
The following products are required to build:
text
% make build
The CLI already includes IPADIC as the default Japanese dictionary.
You can easily tokenize the text and see the results as follows:
% echo "関西国際空港限定トートバッグ" | ./bin/lindera
関西国際空港 名詞,固有名詞,組織,*,*,*,関西国際空港,カンサイコクサイクウコウ,カンサイコクサイクーコー
限定 名詞,サ変接続,*,*,*,*,限定,ゲンテイ,ゲンテイ
トートバッグ UNK,*,*,*,*,*,*,*,*
EOS
It is also possible to switch to the pre-built dictionary data instead of the default dictionary and tokenize. The following example uses the pre-built UniDic to tokenize:
% echo "関西国際空港限定トートバッグ" | ./bin/lindera -d ../lindera-unidic-builder/lindera-unidic-2.1.2
関西 名詞,固有名詞,地名,一般,*,*,関西,カンサイ,カンサイ
国際 名詞,普通名詞,一般,*,*,*,国際,コクサイ,コクサイ
空港 名詞,普通名詞,一般,*,*,*,空港,クーコー,クーコー
限定 名詞,普通名詞,サ変可能,*,*,*,限定,ゲンテー,ゲンテー
トート 名詞,普通名詞,一般,*,*,*,トート,トート,トート
バッグ 名詞,普通名詞,一般,*,*,*,バッグ,バッグ,バッグ
EOS
Please refer to the following repository for building a dictionary:
Linera provides two tokenization modes: normal and decompose.
normal mode tokenizes faithfully based on words registered in the dictionary. (Default):
% echo "関西国際空港限定トートバッグ" | ./bin/lindera --mode=normal
関西国際空港 名詞,固有名詞,組織,*,*,*,関西国際空港,カンサイコクサイクウコウ,カンサイコクサイクーコー
限定 名詞,サ変接続,*,*,*,*,限定,ゲンテイ,ゲンテイ
トートバッグ UNK,*,*,*,*,*,*,*,*
EOS
decopose mode tokenizes a compound noun words additionally:
% echo "関西国際空港限定トートバッグ" | ./bin/lindera --mode=decompose
関西 名詞,固有名詞,地域,一般,*,*,関西,カンサイ,カンサイ
国際 名詞,一般,*,*,*,*,国際,コクサイ,コクサイ
空港 名詞,一般,*,*,*,*,空港,クウコウ,クーコー
限定 名詞,サ変接続,*,*,*,*,限定,ゲンテイ,ゲンテイ
トートバッグ UNK,*,*,*,*,*,*,*,*
EOS
Linera provides three output formats: mecab, wakati and json.
mecab outputs results in a format like MeCab:
% echo "お待ちしております。" | ./bin/lindera --output=mecab
お待ち 名詞,サ変接続,*,*,*,*,お待ち,オマチ,オマチ
し 動詞,自立,*,*,サ変・スル,連用形,する,シ,シ
て 助詞,接続助詞,*,*,*,*,て,テ,テ
おり 動詞,非自立,*,*,五段・ラ行,連用形,おる,オリ,オリ
ます 助動詞,*,*,*,特殊・マス,基本形,ます,マス,マス
。 記号,句点,*,*,*,*,。,。,。
EOS
wakati outputs the token text separated by spaces:
% echo "お待ちしております。" | ./bin/lindera --output=wakati
お待ち し て おり ます 。
json outputs the token information in JSON format:
% echo "お待ちしております。" | ./bin/lindera --output=json
[
{
"text": "お待ち",
"detail": {
"left_id": 1283,
"right_id": 1283,
"word_cost": 6376,
"pos_level1": "名詞",
"pos_level2": "サ変接続",
"pos_level3": "*",
"pos_level4": "*",
"conjugation_type": "*",
"conjugate_form": "*",
"base_form": "お待ち",
"reading": "オマチ",
"pronunciation": "オマチ"
}
},
{
"text": "し",
"detail": {
"left_id": 610,
"right_id": 610,
"word_cost": 8718,
"pos_level1": "動詞",
"pos_level2": "自立",
"pos_level3": "*",
"pos_level4": "*",
"conjugation_type": "サ変・スル",
"conjugate_form": "連用形",
"base_form": "する",
"reading": "シ",
"pronunciation": "シ"
}
},
{
"text": "て",
"detail": {
"left_id": 307,
"right_id": 307,
"word_cost": 5170,
"pos_level1": "助詞",
"pos_level2": "接続助詞",
"pos_level3": "*",
"pos_level4": "*",
"conjugation_type": "*",
"conjugate_form": "*",
"base_form": "て",
"reading": "テ",
"pronunciation": "テ"
}
},
{
"text": "おり",
"detail": {
"left_id": 1197,
"right_id": 1197,
"word_cost": 8773,
"pos_level1": "動詞",
"pos_level2": "非自立",
"pos_level3": "*",
"pos_level4": "*",
"conjugation_type": "五段・ラ行",
"conjugate_form": "連用形",
"base_form": "おる",
"reading": "オリ",
"pronunciation": "オリ"
}
},
{
"text": "ます",
"detail": {
"left_id": 491,
"right_id": 491,
"word_cost": 5537,
"pos_level1": "助動詞",
"pos_level2": "*",
"pos_level3": "*",
"pos_level4": "*",
"conjugation_type": "特殊・マス",
"conjugate_form": "基本形",
"base_form": "ます",
"reading": "マス",
"pronunciation": "マス"
}
},
{
"text": "。",
"detail": {
"left_id": 8,
"right_id": 8,
"word_cost": 215,
"pos_level1": "記号",
"pos_level2": "句点",
"pos_level3": "*",
"pos_level4": "*",
"conjugation_type": "*",
"conjugate_form": "*",
"base_form": "。",
"reading": "。",
"pronunciation": "。"
}
}
]
If you output result in JSON format, token can be filtering is easily assured by using with jq command.
For example, folloing command executes:
1. Tokenize a text
2. Filter tokens by part of speech (名詞)
3. Concat the token text with a white space
% echo "すもももももももものうち" | ./bin/lindera --output=json |
jq -r '.[] | select (.detail.pos_level1 =="名詞")' |
jq -s -r '. | map(.text) | join(" ")'
すもも もも もも うち
lindera consists of several projects. The list is following: