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ISSUES OF REPRESENTING LINGUISTIC TERMS IN THE UZBEK NATIONAL CORPUS

Authors: Tilovova Guzal Rustamovna;

ISSUES OF REPRESENTING LINGUISTIC TERMS IN THE UZBEK NATIONAL CORPUS

Abstract

In recent decades, the creation of linguistic corpora and their application in research and education have become increasingly relevant. This article examines the issues related to the representation of linguistic terms in the Uzbek National Corpus (UNC), their systematization, frequency, contextual usage, and standardization. The study employs descriptive analysis, corpus linguistic methods, comparative analysis, and a historical-typological approach to investigate how linguistic terminology is reflected in the corpus.The findings reveal that although a considerable number of linguistic terms are present in the Uzbek National Corpus, certain key terms remain insufficiently represented. Variability in terminology (e.g., parallel usage of synonymous forms) indicates the need for further standardization. Frequency analysis shows that highly frequent terms such as “word,” “sentence,” “linguistics,” “phonetics,” and “morphology” play a central role in educational and scientific discourse. The study concludes that improving the terminological database of the Uzbek National Corpus will contribute not only to linguistic research but also to lexicography, translation studies, and language teaching methodology.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average