Dataset Open Access

Cross Lingual Word Embeddings for Turkic Languages

Elmurod Kuriyozov

Pre-trained word embeddings for five Turkic languages using skip-gram model of FastText trained on large corpora of Turkic languages.  

Turkish, Uzbek, Azeri, Kazakh and Kyrgyz languages are covered.

 

For full info, please check this repo of GitHub: https://github.com/elmurod1202/crosLingWordEmbTurk 

Files (7.7 GB)
Name Size
az.sg.300.vec.tar.gz
md5:2b6e16c53575c2356ac6d732171c3b70 		545.3 MB Download
kk.sg.300.vec.tar.gz
md5:a22a4317b9ee4f7fa69445cf3bddd93e 		792.3 MB Download
ky.sg.300.vec.tar.gz
md5:255eaafea23a21a0f1a30bf334293d63 		225.1 MB Download
tr.sg.300.vec.tar.gz
md5:220a7a397f8908d17e67d6a9c4c0035b 		6.0 GB Download
uz.sg.300.vec.tar.gz
md5:9b423dbab2bb22e0a6b58f6510f45cde 		196.2 MB Download
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Publication date:
February 13, 2020
DOI:
10.5281/zenodo.3666697

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Keyword(s):
word-embeddings, turkic languages, nlp
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License (for files):
Creative Commons Attribution 4.0 International

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Version 1 10.5281/zenodo.3666697 Feb 13, 2020
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