ELMo embeddings model, Slovenian

  Avtorji

Ulčar, Matej

  Identifikator vnosa

http://hdl.handle.net/11356/1257

 URL projekta

http://embeddia.eu

 Datum objave

2019-10-15

 Vrsta

text, toolService

 Velikost

213 mb, 1364064 tokens

 Jezik(i)

Slovenian

 Opis

ELMo language model (https://github.com/allenai/bilm-tf) used to produce contextual word embeddings, trained on entire Gigafida 2.0 corpus (https://viri.cjvt.si/gigafida/System/Impressum) for 10 epochs. 1,364,064 most common tokens were provided as vocabulary during the training. The model can also infer OOV words, since the neural network input is on the character level.

 Izdajatelj

Faculty of Computer and Information Science, University of Ljubljana

 Zahvala

European Union EC/H2020/825153 "EMBEDDIA - Cross-Lingual Embeddings for Less-Represented Languages in European News Media"

 Ključne besede

ELMo contextual embeddings word embeddings

 Zbirke

CLARIN.SI data & tools

 

Ta vnos je bil nadomeščen z novejšim.

http://hdl.handle.net/11356/1277

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