unidic2ud 0.9.8

Tokenizer POS-tagger and Dependency-parser for modern and contemporary Japanese

UniDic2UD

Tokenizer, POS-tagger, and dependency-parser for modern and contemporary Japanese, working on Universal Dependencies.

Basic usage

>>> import unidic2ud
>>> qkana=unidic2ud.load("qkana")
>>> s=qkana("其國を治めんと欲する者は先づ其家を齊ふ")
>>> print(s)
# text = 其國を治めんと欲する者は先づ其家を齊ふ
1	其	其の	DET	連体詞	_	2	det	_	SpaceAfter=No|Translit=ソノ
2	國	国	NOUN	名詞-普通名詞-一般	_	4	obj	_	SpaceAfter=No|Translit=クニ
3	を	を	ADP	助詞-格助詞	_	2	case	_	SpaceAfter=No|Translit=ヲ
4	治め	収める	VERB	動詞-一般	_	7	advcl	_	SpaceAfter=No|Translit=オサメ
5	ん	む	AUX	助動詞	_	4	aux	_	SpaceAfter=No|Translit=ン
6	と	と	ADP	助詞-格助詞	_	4	case	_	SpaceAfter=No|Translit=ト
7	欲する	欲する	VERB	動詞-一般	_	8	acl	_	SpaceAfter=No|Translit=ホッスル
8	者	者	NOUN	名詞-普通名詞-一般	_	14	nsubj	_	SpaceAfter=No|Translit=モノ
9	は	は	ADP	助詞-係助詞	_	8	case	_	SpaceAfter=No|Translit=ハ
10	先づ	先ず	ADV	副詞	_	14	advmod	_	SpaceAfter=No|Translit=マヅ
11	其	其の	DET	連体詞	_	12	det	_	SpaceAfter=No|Translit=ソノ
12	家	家	NOUN	名詞-普通名詞-一般	_	14	obj	_	SpaceAfter=No|Translit=ウチ
13	を	を	ADP	助詞-格助詞	_	12	case	_	SpaceAfter=No|Translit=ヲ
14	齊ふ	整える	VERB	動詞-一般	_	0	root	_	SpaceAfter=No|Translit=トトノフ

>>> t=s[7]
>>> print(t.id,t.form,t.lemma,t.upos,t.xpos,t.feats,t.head.id,t.deprel,t.deps,t.misc)
7 欲する 欲する VERB 動詞-一般 _ 8 acl _ SpaceAfter=No|Translit=ホッスル

unidic2ud.load(UniDic,UDPipe) loads a natural language processor pipeline, which uses UniDic for tokenizer and POS-tagger, then uses UDPipe for dependency-parser. Available UniDic options are:

• UniDic="gendai": Use 現代書き言葉UniDic.
• UniDic="spoken": Use 現代話し言葉UniDic.
• UniDic="qkana": Use 旧仮名口語UniDic.
• UniDic="kindai": Use 近代文語UniDic.
• UniDic="kinsei": Use 近代口語（洒落本）UniDic.
• UniDic="kyogen": Use 中世口語（狂言）UniDic.
• UniDic="wakan": Use 中世文語（説話・随筆）UniDic.
• UniDic="wabun": Use 中古和文UniDic.
• UniDic="manyo": Use 上代（万葉集）UniDic.
• UniDic=None: Use UDPipe for tokenizer, POS-tagger, and dependency-parser.

The default UDPipe is UDPipe="japanese-gsd" from Universal Dependecies 2.4 Models.

Installation

Binary wheel is available for Linux, and is installed by default when you use pip:

pip install unidic2ud

By default installation, UniDic and UDPipe are invoked through Web APIs. If you want to invoke them locally and faster, you can download UniDic and UDPipe which you use just as follows:

python -m unidic2ud download.unidic qkana
python -m unidic2ud download.udpipe japanese-gsd

Licenses of dictionaries and models are: GPL/LGPL/BSD for gendai and spoken; CC BY-NC-SA 4.0 for others.

Author

Koichi Yasuoka (安岡孝一)