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dc.contributor.authorGoranova, Slaveyah
dc.date.accessioned2026-04-06T19:40:20Z
dc.date.available2026-04-06T19:40:20Z
dc.date.issued2025-05-23
dc.identifier.issn2682-9460
dc.identifier.urihttps://lib.uni-plovdiv.net/handle/123456789/1251
dc.description.abstractThe development of Artificial Intelligence (AI) is rapidly transforming many aspects of our lives. In the present paper, as part of the emerging theories for AI application in healthcare and medical sciences, we suggest that AI can be applied to the study of medical metaphors. In particular, we examine the possibility of biomedical text tokenization using BioBERT of the DISEASE is ENEMY metaphor. The present research is an initial stage of a much larger research in the context of the Conceptual Metaphor Theory and Discourse Analysis as applied to war metaphors in medical discourse.en_US
dc.language.isoenen_US
dc.publisherPlovdiv University Pressen_US
dc.subjectAIen_US
dc.subjectwar metaphorsen_US
dc.subjectConceptual Metaphor Theoryen_US
dc.subjectDiscourse Analysisen_US
dc.titleHOW AI COULD TRANSFORM MEDICAL ENGLISH LINGUISTICS: BIOMEDICAL TEXT TOKENIZATION OF THE DISEASE IS ENEMY METAPHOR WITH BioBERTen_US
dc.typeArticleen_US


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