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RuSkELL: Theory and Practice

Student: Kultepina Olga

Supervisor: Valentina Apresyan

Faculty: Faculty of Humanities

Educational Programme: Language Theory and Computational Linguistics (Master)

Final Grade: 10

Year of Graduation: 2017

The thesis deals with researching of RuSkELL ("Russian + Sketch Engine for Language Learning") – an online resource for researchers and learners of Russian language. The tool is based on a specially pre-processed corpus (from the Russian Internet in 2011) and has an intuitive user-friendly interface. Russian language learners can search for phrases in sentences (function 'Examples'), extract salient collocates ('Word sketch') and find similar words ('Similiar words') using RuSkELL. In my thesis I describe the theoretical basis which RuSkELL is working on. The thesis presents the results of the comparative analysis RuSkELL and other corpus-based resources which compile the collocations and lexical/semantic fields of words (like Sketch Engine's corpora or RusVectores). It also views RUSkELL as a corpus-based tool for teaching Russian as a foreign language and presents the practical tutorial which describes the way teachers and students can use the resource in class.

Full text (added May 31, 2017)

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