github explosion/spacy-models pl_core_news_lg-2.3.0

Downloads

Details: https://spacy.io/models/pl#pl_core_news_lg

File checksum: 594225dad3afebb5ea78ee2780b83216324f203de0f7cd996104867dd1858ca9

Polish multi-task CNN trained on the National Corpus of Polish and UD Polish PDB. Assigns word vectors, POS tags, lemmas, dependency parses and named entities. Word vectors trained using FastText CBOW on Wikipedia and OSCAR (Common Crawl).

Feature Description
Name pl_core_news_lg
Version 2.3.0
spaCy >=2.3.0,<2.4.0
Model size 576 MB
Pipeline  tagger, parser, ner
Vectors 500000 keys, 500000 unique vectors (300 dimensions)
Sources National Corpus of Polish (Mirosław Bańko, Rafał L. Górski, Barbara Lewandowska-Tomaszczyk, Marek Łaziński, Piotr Pęzik, Adam Przepiórkowski)
UD Polish SZ v2.3 (Wróblewska, Alina; Zeman, Daniel; Mašek, Jan; Rosa, Rudolf)
Morfeusz 2 Lemmas from the Grammatical Dictionary of Polish (SGJP) (Marcin Woliński, Zbigniew Bronk, Włodzimierz Gruszczyński, Witold Kieraś, Zygmunt Saloni, Danuta Skowrońska, Robert Wołosz)
OSCAR (Common Crawl)
Wikipedia (20200301)
License GPL
Author Explosion and Ryszard Tuora

Label Scheme

Component Labels
tagger  ADJ, ADJA, ADJC, ADJP, ADV, AGLT, BEDZIE, BREV, BURK, COMP, CONJ, DEPR, FIN, GER, IMPS, IMPT, INF, INTERJ, INTERP, NUM, NUMCOL, PACT, PANT, PCON, PPAS, PPRON12, PPRON3, PRAET, PRED, PREP, QUB, SIEBIE, SUBST, WINIEN, XXX, _SP
parser  ROOT, acl, advcl, advmod, amod, appos, aux, aux:pass, case, cc, ccomp, conj, cop, dep, det, det:numgov, expl:pv, iobj, mark, nmod, nsubj, nsubj:pass, nummod, obj, obl, obl:arg, punct, xcomp
ner  date, geogName, orgName, persName, placeName, time

Accuracy

Type Score
LAS  85.52
UAS  90.80
TOKEN_ACC  99.83
TAGS_ACC  98.45
ENTS_F  85.67
ENTS_P  85.61
ENTS_R  85.72

Installation

pip install spacy
python -m spacy download pl_core_news_lg

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