Vector representations of polish words (Word2Vec method)

  Authors

Kędzia, Paweł ; Czachor, Gabriela ; Piasecki, Maciej ; Kocoń, Jan

 Date issued

2016-11-07

 Type

lexicalConceptualResource

 Size

4000000000 tokens

 Language(s)

Polish

 Description

Model skip gram with vectors of length 100. Trained on kgr 10, a corpora with over 4 billion tokens. Data preprocessing involved segmentation, lemmatization and mophosyntactic disambiguation with MWE annotation.

 Publisher

Wrocław University of Technology

 Subject(s)

Vector space Word2Vec

 Collection(s)

CLARIN-PL

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