Vector representations of polish words (Word2Vec method)
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Kędzia, Paweł; Czachor, Gabriela; Piasecki, Maciej and Kocoń, Jan, 2016,
Vector representations of polish words (Word2Vec method), CLARIN-PL Repository,
http://hdl.handle.net/11321/327.
Autorzy
Data
2016-11-07
Rozmiar
4000000000 tokens
Języki
Opis
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.
Słowa kluczowe
Kolekcje
Pliki w tym zasobie
- Nazwa
- skipgram_v100.zip
- Rozmiar
- 877.62 MB
- Format
- application/zip
- Opis
- Suma kontrolna MD5
- 0497754c5a6cb276dc5b7dc3807ad1da
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