TRANSFORMATION OF LINGUISTIC METHODS IN THE ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE

The article examines the transformation of linguistic methods under the influence of generative artificial intelligence. It analyzes changes in corpus linguistics, semantic modeling, contrastive studies, and linguodidactics. Particular attention is paid to the transition from traditional methods of analysis to hybrid human–machine approaches. The article identifies the advantages and risks of using generative models, including the problem of data reliability and changes in the scientific paradigm.

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