METHODS OF USING CORPUS LINGUISTICS IN THE ANALYSIS OF TERMINOLOGY IN ENGLISH AND UZBEK

Abstract

This article examines methodological approaches to using  corpus linguistics in the analysis of terminology in English and Uzbek. The study identifies the role of corpora in collecting, processing, and interpreting terminological units within both languages, with particular attention to domain-specific vocabularies such as those in science, technology, and artificial intelligence. Comparative analysis shows that corpus-based methods provide objective data on term frequency, collocations, semantic shifts, and usage contexts. The article outlines monolingual and parallel corpus applications, corpus annotation and tagging techniques, as well as tools for quantitative and qualitative analysis. The results emphasize that integrating corpus linguistics into terminological studies not only increases accuracy in identifying and defining terms but also supports the standardization and modernization of Uzbek technical lexicon in alignment with international practices.