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SEMANTIC VARIABILITY AND COGNITIVE STRUCTURES OF ARTIFICIAL INTELLIGENCE TERMINOLOGY IN ENGLISH

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dc.contributor.authorNormamatova Zakhro Dilshodovna
dc.date.accessioned2025-12-28T12:12:18Z
dc.date.issued2025-10-12
dc.description.abstractThis article investigates the semantic diversity and cognitive underpinnings of AI terminology, focusing on how terms gain multiple meanings, extend metaphorically, and are represented cognitively by language users. Integrating methods from cognitive linguistics, terminology science, and corpus analysis, the study identifies recurrent patterns of polysemy, conceptual metaphor, and semantic shifts within the AI lexicon. Additionally, it explores the cognitive structures, such as frames and prototypes, that support comprehension and communication of AI concepts.
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dc.identifier.urihttps://usajournals.org/index.php/6/article/view/1144
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/5138
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/6/article/view/1144/1230
dc.rightsCopyright (c) 2025 Modern American Journal of Linguistics, Education, and Pedagogy
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceModern American Journal of Linguistics, Education, and Pedagogy; Vol. 1 No. 7 (2025); 110-116
dc.source3067-7874
dc.subjectArtificial Intelligence, Terminology, Semantic Variability, Cognitive Structures, Polysemy, Conceptual Metaphor, Terminology Standardization, English Language
dc.titleSEMANTIC VARIABILITY AND COGNITIVE STRUCTURES OF ARTIFICIAL INTELLIGENCE TERMINOLOGY IN ENGLISH
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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