CORPUS-STATISTICAL ANALYSIS OF RUSSIAN VOCABULARY USING COMPUTER LINGUISTICS METHODS

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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