RESEARCH ON MULTIMODAL LEARNING MODELS FOR TEACHING HOMONYMS IN UZBEK DIGITAL LEXICOGRAPHY
This article examines the possibilities of balancing the difficulties that arise when processing information from traditional
dictionaries using multimedia tools. During the study, based on corpus data, the concept of a multimodal model of homonyms is
developed. The results help facilitate, to a certain extent, the process of acquiring homonyms through semantic mapping across
multiple languages and the use of visual markers. Furthermore, the study proposes using a learning model based on the integration
of audio and visual markers, rather than being limited to text, to reveal the semantic facets of homonymous units
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