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dc.contributor.author Kędzia, Paweł
dc.contributor.author Czachor, Gabriela
dc.contributor.author Piasecki, Maciej
dc.contributor.author Kocoń, Jan
dc.date.accessioned 2016-11-07T10:34:36Z
dc.date.available 2016-11-07T10:34:36Z
dc.date.issued 2016-11-07
dc.identifier.uri http://hdl.handle.net/11321/327
dc.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.
dc.language.iso pol
dc.publisher Wrocław University of Technology
dc.subject Vector space
dc.subject Word2Vec
dc.title Vector representations of polish words (Word2Vec method)
dc.type lexicalConceptualResource
metashare.ResourceInfo#ContentInfo.detailedType wordList
metashare.ResourceInfo#ContentInfo.mediaType text
hasMetadata false
has.files yes
branding CLARIN-PL
contact.person Paweł Kędzia Pawel.Kedzia@pwr.edu.pl Wrocław University of Technology
size.info 2,7 gb
files.size 920249571
files.count 1


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