examples, synonyms and collocations for language learners

What is ruSkELL?

ruSkELL is a version of SkELL for learners of Russian. SkELL is a simple tool for language learners to check how language is used by real users of the language. With ruSkELL, the learner can easily display Russian examples of use, collocations in Russian and the Russian thesaurus with synonyms and similar words.

SkELL is based on Sketch Engine.

RuSkELL was prepared by:

Valentina Apresjan (general guidance)
Andrey Shestakoff, Ekaterina Chernyak (mentors of corpus cleaning)
Timur Iskhakov (corpus cleaning)
Vít Suchomel (original corpus building)
Vít Baisa (interface development)
Olga Buivolova, Olga Kultepina, Anna Maloletnjaja (word sketch adaptations, testing)

The corpus was crawled by SpiderLing in 2011, encoded in UTF-8, cleaned and deduplicated. Tagged by  RFTagger + TreeTagger. The corpus is cleared of obscene language, using a list of word, prohibited for naming in “.рф” domain space. The size of unzipped corpus is approximately 52 GB. It consists of  983,255,513 tokens or 10,394,826 unique lemmas.


APRESJAN, Valentina, Vít BAISA, Olga BUIVOLOVA and Olga KULTEPINA. RuSkELL: Online Language Learning Tool for Russian Language. In Tinatin Margalitadze, George Meladze. Proceedings of the XVII EURALEX International congress. Tbilisi: Ivane Javakhishvili Tbilisi State University, 2016. s. 292–299, 8 s. ISBN 978-9941-13-542-2.

PDF is available online. See page 292.