Skip to main content

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	_	PRON	_	PronType=Int	2	nsubj	_	Translit=who
2	plays	_	VERB	_	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	"	_	PUNCT	_	_	5	punct	_	SpaceAfter=No
4	La	_	DET	_	Definite=Def|Gender=Fem|Number=Sing|PronType=Art	5	det	_	Translit=la
5	vie	_	NOUN	_	Gender=Fem|Number=Sing	2	obj	_	_
6	en	_	ADP	_	_	7	case	_	_
7	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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

multicombo-0.7.0-py3-none-any.whl (16.8 kB view details)

Uploaded Python 3

File details

Details for the file multicombo-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: multicombo-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 16.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for multicombo-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5a9ccc6312dfc16aa7b6861635b3359131109165b3b42933f596b682bcf3ac54
MD5 fb8df7a9f8d4ac75430ec5e2b027a6ce
BLAKE2b-256 a812b33a4537b8ad3fbf666c55c029e1e5e012a942a1acc978a1a12f5df827f2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page