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Tokenizer POS-tagger and Dependency-parser for Classical Chinese

Project description

Current PyPI packages

UD-Kanbun

Tokenizer, POS-Tagger, and Dependency-Parser for Classical Chinese Texts (漢文/文言文), working on Universal Dependencies.

Basic usage

>>> import udkanbun
>>> lzh=udkanbun.load()
>>> s=lzh("不入虎穴不得虎子")
>>> print(s)
# text = 不入虎穴不得虎子
1			ADV	v,副詞,否定,無界	Polarity=Neg	2	advmod	_	Gloss=not|SpaceAfter=No
2			VERB	v,動詞,行為,移動	_	0	root	_	Gloss=enter|SpaceAfter=No
3			NOUN	n,名詞,主体,動物	_	4	nmod	_	Gloss=tiger|SpaceAfter=No
4			NOUN	n,名詞,固定物,地形	Case=Loc	2	obj	_	Gloss=cave|SpaceAfter=No
5			ADV	v,副詞,否定,無界	Polarity=Neg	6	advmod	_	Gloss=not|SpaceAfter=No
6			VERB	v,動詞,行為,得失	_	2	parataxis	_	Gloss=get|SpaceAfter=No
7			NOUN	n,名詞,主体,動物	_	8	nmod	_	Gloss=tiger|SpaceAfter=No
8			NOUN	n,名詞,,関係	_	6	obj	_	Gloss=child|SpaceAfter=No

>>> t=s[1]
>>> print(t.id,t.form,t.lemma,t.upos,t.xpos,t.feats,t.head.id,t.deprel,t.deps,t.misc)
1   ADV v,副詞,否定,無界 Polarity=Neg 2 advmod _ Gloss=not|SpaceAfter=No

udkanbun.load() has only one option udkanbun.load(MeCab=False). By default, the UD-Kanbun pipeline uses MeCab for tokenizer and POS-tagger, then uses UDPipe for dependency-parser. With the option MeCab=False the pipeline uses UDPipe for all through the processing.

Installation

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

pip install udkanbun

Author

Koichi Yasuoka (安岡孝一)

References

  • 安岡孝一: 四書を学んだMeCab+UDPipeはセンター試験の漢文を読めるのか, 東洋学へのコンピュータ利用, 第30回研究セミナー (2019年3月8日), pp.3-110.

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