PROBLEMS AND LIMITATIONS OF ARTIFICIAL INTELLIGENCE INTEGRATION IN MODERN LINGUISTICS
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This article analyzes the problems and limitations arising from the integration of artificial intelligence technologies into modern linguistics.
Based on recent scholarly studies, the research examines the application of natural language processing, large language models, generative
artificial intelligence, and machine translation in linguistic research and practice. Particular attention is paid to the quality and sufficiency
of linguistic data, the underrepresentation of low-resource languages in digital environments, the modeling of semantic and pragmatic
meaning, multilingualism, and the consideration of linguocultural characteristics.
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