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[ARTICLE · art-63079] src=arxiv.org ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

UzWordnet and Generative AI for Learning Uzbek by Game Playing

Researchers proposed an educational system integrating UzWordnet and generative AI to teach Uzbek through game-playing, with four games designed to improve the lexical resource as a by-product of gameplay. The architecture combines the largest Uzbek orthographic dictionary with AI for learning support, addressing both language education and lexical enrichment.

read2 min views1 publishedJul 17, 2026
UzWordnet and Generative AI for Learning Uzbek by Game Playing
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[Submitted on 6 May 2026]


[View PDF](/pdf/2607.14104)

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).

Submission history #

From: Alessandro Agostini [[view email](/show-email/da2fc40c/2607.14104)]

**[v1]** Wed, 6 May 2026 14:07:23 UTC (839 KB)

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