Vol. 2 No. 04 (2026), Articles
Vol. 2 No. 04 (2026)

CORPUS-STATISTICAL ANALYSIS OF RUSSIAN VOCABULARY USING COMPUTER LINGUISTICS METHODS

Articles
Published 2026-03-05
Manzura Sharipovna Boltaeva
Head of the Department of General Education Bukhara Innovative Educational and Medical University
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Keywords

Corpus linguistics, computational linguistics, Russian vocabulary, frequency analysis, collocations, morphological annotation, semantic modeling.

How to Cite

Sharipovna Boltaeva, M. (2026). CORPUS-STATISTICAL ANALYSIS OF RUSSIAN VOCABULARY USING COMPUTER LINGUISTICS METHODS. Advances in Science and Humanities, 2(04), 39-41. https://doi.org/10.70728/human.v02.i04.010
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Abstract

This article examines the theoretical and applied aspects of corpus-based statistical analysis of Russian vocabulary using computational linguistics methods. The study aims to identify quantitative patterns in the functioning of lexical units in various types of texts using automated data processing tools. The National Corpus of the Russian Language serves as the empirical base. The paper describes methods of frequency analysis, morphological annotation, collocation analysis, and vector modeling of semantics. It concludes that the integration of statistical and computational methods is highly effective in studying the lexical system of the Russian language.

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References

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