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Multilingual POS-tagger and Dependency-parser

Project description

Current PyPI packages

MultiCOMBO

Multilingual POS-Tagger and Dependency-Parser with COMBO-pytorch and spaCy.

Basic usage

>>> import multicombo
>>> nlp=multicombo.load()
>>> doc=nlp('Who plays "La vie en rose"?')
>>> print(multicombo.to_conllu(doc))
# text = Who plays "La vie en rose"?
1	Who	who	PRON		PronType=Int	2	nsubj	_	Translit=who
2	plays	play	VERB		Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	"	"	PUNCT		_	5	punct	_	SpaceAfter=No
4	La	le	DET		Definite=Def|Gender=Fem|Number=Sing|PronType=Art	5	det	_	Translit=la
5	vie	vie	NOUN		Gender=Fem|Number=Sing	2	obj	_	_
6	en	en	ADP		_	7	case	_	_
7	rose	rose	NOUN		Number=Sing	5	nmod	_	SpaceAfter=No
8	"	"'	PUNCT		_	5	punct	_	SpaceAfter=No
9	?	?	PUNCT		_	2	punct	_	SpaceAfter=No

>>> import deplacy
>>> deplacy.render(doc)
Who   PRON  <════════════╗   nsubj
plays VERB  ═══════════╗═╝═╗ ROOT
"     PUNCT <══════╗   ║   ║ punct
La    DET   <════╗        det
vie   NOUN  ═══╗═╝═╝═╗<    obj
en    ADP   <            case
rose  NOUN  ═╝<           nmod
"     PUNCT <════════╝     ║ punct
?     PUNCT <══════════════╝ punct

>>> deplacy.serve(doc)
http://127.0.0.1:5000

trial.svg multicombo.load(lang="xx") loads spaCy Language pipeline with bert-base-multilingual-cased and spacy.lang.xx.MultiLanguage tokenizer. Other language specific tokenizers can be loaded with the option lang, while several languages require additional packages:

Installation for Linux

pip3 install multicombo --user

Installation for Cygwin64

Make sure to get python37-devel python37-pip python37-cython python37-numpy python37-cffi gcc-g++ mingw64-x86_64-gcc-g++ gcc-fortran git curl make cmake libopenblas liblapack-devel libhdf5-devel libfreetype-devel libuv-devel packages, and then:

curl -L https://raw.githubusercontent.com/KoichiYasuoka/UniDic-COMBO/master/cygwin64.sh | sh
pip3.7 install multicombo

Installation for Jupyter Notebook (Google Colaboratory)

!pip install multicombo

Try notebook for Google Colaboratory.

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