MORPHOLOGICAL ANALYSIS OF ARTIFICIAL INTELLIGENCE TERMS IN ENGLISH AND UZBEK LANGUAGES
Abstract
This article examines the morphological structure of artificial intelligence (AI) terminology in English and Uzbek, focusing on their word-formation mechanisms and the lexical-semantic processes involved in term creation. The study investigates English word-formation models such as compounding, affixation, abbreviation, and conversion, as well as Uzbek strategies including calquing, borrowing, affixal derivation, and semantic expansion. Additionally, the research identifies technological, communicative, and translational factors that influence the development of AI terminology in both languages. The findings highlight key morphological features of AI terms and provide practical insights for translation studies and computational linguistics.
Keywords
artificial intelligence, terminology, morphology, compounding, affixation, derivation, calquing, English, Uzbek.
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