Vol. 1 No. 3 (2026), Articles
Vol. 1 No. 3 (2026)

USING A HYBRID APPROACH IN DEVELOPING SOFTWARE FOR MORPHOLOGICAL ANALYSIS OF UZBEK WORDS

Articles
Published 2026-06-10
Berdiyorov Anvar
Master's Degree Student (2nd Year) Specialty: Information Systems (70610103) Department of Algorithms and Programming Technologies Faculty of Mathematics and Computer Science Karshi State University Karshi, Uzbekistan
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Keywords

morphological analysis, Uzbek language, natural language processing, NLP, hybrid approach, artificial intelligence, machine learning, software development.

How to Cite

Berdiyorov Anvar. (2026). USING A HYBRID APPROACH IN DEVELOPING SOFTWARE FOR MORPHOLOGICAL ANALYSIS OF UZBEK WORDS. Zamonaviy ta’lim Va Tilshunoslik Rivoji, 1(3), 53-59. https://doi.org/10.5281/zenodo.20630409
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Abstract

This article discusses the use of a hybrid approach in developing software for the morphological analysis of Uzbek words. Uzbek belongs to the agglutinative language family and allows the formation of numerous grammatical word forms, which makes morphological analysis a challenging task. A hybrid model combining rule-based and machine learning approaches is proposed. The advantages, software architecture, and practical applications of the model are analyzed. The results demonstrate that the hybrid approach can improve the accuracy and efficiency of morphological analysis systems.

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