Detailed Information on Publication Record
2016
RuSkELL: Online Language Learning Tool for Russian Language
APRESJAN, Valentina, Vít BAISA, Olga BUIVOLOVA and Olga KULTEPINABasic information
Original name
RuSkELL: Online Language Learning Tool for Russian Language
Authors
APRESJAN, Valentina (643 Russian Federation), Vít BAISA (203 Czech Republic, guarantor, belonging to the institution), Olga BUIVOLOVA (643 Russian Federation) and Olga KULTEPINA (643 Russian Federation)
Edition
Tbilisi, Proceedings of the XVII EURALEX International congress, p. 292-299, 8 pp. 2016
Publisher
Ivane Javakhishvili Tbilisi State University
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Georgia
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/16:00090690
Organization unit
Faculty of Informatics
ISBN
978-9941-13-542-2
UT WoS
000392695200030
Keywords in English
online language tool; Sketch Engine for Language Learning; sketches; collocations
Tags
International impact, Reviewed
Změněno: 20/7/2018 14:36, Mgr. Michal Petr
Abstract
V originále
RuSkELL ("Russian + Sketch Engine for Language Learning") is a new online resource intended for researchers and learners of Russian. It incorporates a specially pre-processed corpus and the interface which allows users to search for phrases in sentences, extract salient collocates and show similar words. The tool builds upon its English counterpart SkELL (Baisa & Suchomel 2014). The aim of the project is to adapt the existing SkELL tool to Russian, improve its performance and make it user-friendly to Russian users. The existing problems include errors in query output and insufficiently transparent interface. The project aspires to solve them by 1) modifying Sketch grammar rules to exclude irrelevant output and to add informative collocations unaccounted for in the existing Sketch grammar; 2) providing collocation groups with easy-to-understand labels in Russian. We describe the process of building the language data and problems we need to address to accommodate the tool for the specificities of the Russian language.
Links
LM2015071, research and development project |
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MUNI/A/0945/2015, interní kód MU |
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7F14047, research and development project |
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