unidic2ud 1.2.5

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

UniDic2UD

Tokenizer, POS-tagger, lemmatizer, 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

>>> f=open("trial.svg","w")
>>> f.write(s.to_svg())
>>> f.close()

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

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

Usage via spaCy

If you have already installed spaCy 2.1.0 or later, you can use UniDic via spaCy Language pipeline.

>>> import unidic2ud.spacy
>>> qkana=unidic2ud.spacy.load("qkana")
>>> d=qkana("其國を治めんと欲する者は先づ其家を齊ふ")
>>> print(type(d))
<class 'spacy.tokens.doc.Doc'>
>>> print(unidic2ud.spacy.to_conllu(d))
# 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=d[6]
>>> print(t.i+1,t.orth_,t.lemma_,t.pos_,t.tag_,t.head.i+1,t.dep_,t.whitespace_,t.norm_)
7 欲する 欲する VERB 動詞-一般 8 acl  ホッスル

Installation for Linux

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
python -m unidic2ud dictlist

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

Installation for Cygwin64

For installing in Cygwin64, make sure to get gcc-g++ git python37-pip python37-devel swig packages, and then:

pip3.7 install git+https://github.com/KoichiYasuoka/mecab-cygwin64
pip3.7 install unidic2ud

Use python3.7 command in Cygwin64 instead of python (even for downloading dictionaries). For installing in old Cygwin (32-bit), try to use mecab-cygwin32 instead of mecab-cygwin64.

Author

Koichi Yasuoka (安岡孝一)