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• Paper·arXiv — Language & NLP (cs.CL)·6 May 2026

  UzWordnet and Generative AI for Learning Uzbek by Game Playing

  Alessandro Agostini, Saydobid Khusanov, Mirkamol Mirkamilov

  An educational system architecture integrates UzWordnet, an orthographic dictionary, and generative AI to support Uzbek language learning through four game types. The games also improve the lexical resource as a byproduct, combining educational and lexical objectives.

  Original 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).

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