| 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.rights | GNU LGPL 3.0 |
| dc.rights.uri | http://www.gnu.org/licenses/lgpl.html |
| dc.rights.label | PUB |
| 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 | 4000000000 tokens |
| files.size | 920249571 |
| files.count | 1 |
