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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 from an unnamed institution have proposed an educational system architecture that integrates UzWordnet, the largest orthographic dictionary for Uzbek, and generative AI to teach the Uzbek language through four game-based activities, with the games also designed to improve UzWordnet as a by-product. The system, described in a paper submitted on 6 May 2026, aims to simultaneously address language learning and lexical resource enrichment.

read2 min views12 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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