RusVectōrēs: word embeddings for Russian online

’You shall know a word by the company it keeps.’ (Firth 1957)

Enter a word to produce a list of its 10 nearest semantic associates.
The model trained on Russian Wikipedia and Russian National Corpus will be used; for other models, visit Similar Words tab.




Project news RSS


Words in green are top frequent (corpus ratio higher than 0.00001); words in red, are low frequent (corpus ratio less than 0.0000005).

RusVectōrēs Team

 University of Oslo National Research University Higher School of Economics

Creative Commons License