Automatic POS Tagging of Verbs in the Uzbek Language and the Algorithm for Identifying Person-Number and Tense Categories
Mirzakhidova Miyasar InamzhanovnaJASU Named After B. Osmonov,Department of Kyrgyz Language and Literature,Jalal-Abad,KyrgyzstanKhamroeva Shahlo MirdjonovnaUniversity of Uzbek Language and Literature Named Alisher Navo’I,Dept. of Computational Linguistics and Digital Technologies Tashkent State,Tashkent,UzbekistanErkinjonova Go’Zal Bakhtiyor QiziUniversity of Uzbek Language and Literature Named Alisher Navo’I,Dept. of Computational Linguistics and Digital Technologies Tashkent State,Tashkent,Uzbekistan
2025
ABI
Abstract
This article develops an algorithm for the automatic identification of verb forms and their grammatical categories—tense and person-number—in the Uzbek language. The study employs a hybrid approach combining rule-based methods and machine learning techniques. The practical outcomes of this research expand the possibilities for automatic morphological analysis of the Uzbek language and facilitate statistical studies in linguistics.
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