ANALYSIS OF LEXICAL-SEMANTIC GROUPS IN CREATING THE NATIONAL CORPUS OF THE UZBEK LANGUAGE
DOI:
https://doi.org/10.55640/Keywords:
Uzbek language, national corpus, corpus linguistics, lexical-semantic groups, semantic analysis, lexical units, corpus annotation, digital linguistics, language resources, lexicographyAbstract
This article discusses the analysis of lexical-semantic groups in the process of creating the national corpus of the Uzbek language. The study emphasizes the importance of organizing lexical units into semantic groups for ensuring the systematic structure, functional accuracy, and scientific value of the corpus. Lexical-semantic classification plays a significant role in identifying semantic relations among words, improving corpus annotation, and facilitating linguistic research based on corpus materials. The article examines the theoretical and practical aspects of grouping lexical items according to meaning, usage, and contextual relevance in the Uzbek language. Special attention is given to the role of lexical-semantic analysis in corpus linguistics, digital lexicography, and the development of modern language technologies.
Downloads
References
1.Dadaboyev, H. Uzbek Terminology [in Uzbek]. Tashkent, 2019.
2.Ermatov, I. Uzbek Linguistic Terminology: Monograph [in Uzbek]. Tashkent, 2021.
3.Hojiyev, A. Explanatory Dictionary of Linguistic Terms [in Uzbek]. Tashkent: O‘zbekiston Milliy Ensiklopediyasi, 2002.
4.Hojiyev, A. Criteria for Term Selection [in Uzbek]. Tashkent, 1996. This work is cited in later Uzbek terminology literature as a source on term selection principles.
5.Shoabdurahmonov, Sh., Asqarova, M., Hojiyev, A., Rasulov, I., & Doniyorov, H. Modern Uzbek Literary Language. Part 1 [in Uzbek]. Tashkent: O‘qituvchi, 1980. This textbook is cited in Uzbek terminology scholarship as a foundational linguistic source.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.
Germany
United States of America
Italy
United Kingdom
France
Canada
Uzbekistan
Japan
Republic of Korea
Australia
Spain
Switzerland
Sweden
Netherlands
China
India
