Release:
2026. Vol. 12. № 1 (45)About the authors:
Anastasia S. Petrova, Postgraduate Student, Department of Applied and Theoretical Linguistics, University of Tyumen, Tyumen, Russia; Assistant, Department of Foreign Philology, Linguistics and Teaching of Foreign Languages, University of Kurgan, Kurgan, Russia; anastas.27.11@mail.ru, https://elibrary.ru/author_profile.asp?authorid=1295458Abstract:
This article formulates and explores the problem of “interdisciplinary term homonymity”, which is based on the semantic features of homonymous terms. Homonymy in terminology differs fundamentally from homonymy in general literary vocabulary in that it is not formal in nature but appears to be a semantically determined category. Based on the analysis and synthesis of scientific literature, the definition of the basic concept is formulated: an interdisciplinary homonymous term is a term used in different fields of knowledge, where it has a common linguistic form and exhibits certain common (coinciding) or overlapping (partially coinciding) semantic features. The seme analysis of 391 interdisciplinary homonyms of 45 one-word English terms in artificial intelligence (AI) revealed complete and partial overlaps in generic and semantic features ranging from 1 to 14. During the interdisciplinary linkage analysis, the 391 homonymous terms were distributed across 37 fields of knowledge. The conclusion is that the extremely high interdisciplinary homonymity of one-word English terms in AI indicates the arbitrary and unsystematic terminology formation.Keywords:
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