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UzWordnet and Generative AI for Learning Uzbek by Game Playing

arXiv 2607.14104 ↗First posted 6 May 2026cs.CL cs.HC cs.SEcited by 0

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Abstract (arXiv)

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).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 35 references that are in the map. First posted on arXiv 6 May 2026.

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References · 2

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022Assessing Digital Language Support on a Global Scalecited by 6

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