UzWordnet and Generative AI for Learning Uzbek by Game Playing
A paper presenting an educational system architecture that integrates UzWordnet and generative AI to enable Uzbek language practice through gaming, with four designed games and a methodology to enrich UzWordnet as a by-product.
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[Submitted on 6 May 2026]
Title:UzWordnet and Generative AI for Learning Uzbek by Game Playing
View a PDF of the paper titled UzWordnet and Generative AI for Learning Uzbek by Game Playing, by Alessandro Agostini and 2 other authors
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Abstract:This paper presents an educational system architecture that enables learners to practice the Uzbek language through game-playing. The architecture integrates UzWordnet and the largest currently available orthographic dictionary for Uzbek as core lexical resources, together with generative AI as a fundamental component for learning support. We design four educational games to facilitate Uzbek language learning and propose a game-based methodology for improving UzWordnet as a direct by-product of game dynamics. Our approach combines game design and lexical resources to address objectives that are at the same time educational (language learning) and lexical (improvement and enrichment of a lexical resource).
Comments: 19 pages, 3 figures
Subjects:
Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Software Engineering (cs.SE)
ACM classes: I.2.7; K.3.1
Cite as: arXiv:2607.14104 [cs.CL]
(or arXiv:2607.14104v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2607.14104
arXiv-issued DOI via DataCite
Submission history
From: Alessandro Agostini [view email] [v1] Wed, 6 May 2026 14:07:23 UTC (839 KB)
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