Technologies, especially the results obtained in artificial intelligence and machine learning or deep learning prove that the language model and its knowledge based data can be created through a corpus. This article contains analytical materials related to scientific theories conducted in this field. The theoretical ideas included in this analysis will serve as a source for practical work to be carried out for the Uzbek language in the future.

corpus lexicography, artificial intelligence, thesaurus, WordNet.

Atkins B. T. S. and A. Zampolli Computational Approaches to the Lexicon, Oxford University Press, 1994. — 496 p.

Vincent B.Y. Computer corpus lexicography. Edingurg university press, 1998. – P. 37.

Krishnamurthy, Ramesh. 2006. “Corpus Lexicography,” January. https://doi.org/10.1016/b0-08-044854-2/00416-8.

4. N. Abdurakhmonova, I. Alisher and R. Sayfulleyeva, "MorphUz: Morphological Analyzer for the Uzbek Language," 2022 7th International Conference on Computer Science and Engineering (UBMK), Diyarbakir, Turkey, 2022, pp. 61-66, doi:

1109/UBMK55850.2022.9919579.

N. Z. Abdurakhmonova, A. S. Ismailov and D. Mengliev, "Developing NLP Tool for Linguistic Analysis of Turkic Languages," 2022 IEEE International Multi-Conference on Engineering,Computer and Information Sciences (SIBIRCON), Yekaterinburg, Russian Federation, 2022,pp.1790-1793,doi:10.1109/SIBIRCON56155.2022.1