Structural and semantic features of English eponyms in the “artificial intelligence” terminology system

The paper is focused on the structural and semantic characteristics of eponyms in the sublanguage “Artificial Intelligence” in English. The study’s relevance is determined by the rapid advancement of artificial intelligence systems and information technology in almost all spheres of human activities, which in turn leads to the creation of new lexical units. This finding highlights the necessity of conducting both theoretical and applied studies in this area of lexicology. We have found that in the sublanguage “Artificial Intelligence”, the names and surnames of individuals who have made significant contributions to the formation and development of this field of knowledge are used as a productive basis for creating new terms. We have also succeeded in revealing that anthroponyms can both undergo certain morphological transformations during the deonymization process and be used in their initial form. The most productive word-formation models are the use of an eponym in the possessive case and the formation of an eponym-based adjective. In contrast to anthroponyms, toponyms and names of literary and mythological characters shift into the category of common nouns without changing their form, but acquiring a new meaning. The study’s findings highlight the significance of eponyms as fundamental components of the language of science and technology and their impact on the way artificial intelligence concepts are understood.

Authors

Institutions

Publication Details

Journal
Philology and Culture
Published
2024-12-28
DOI
https://doi.org/10.26907/2782-4756-2024-78-4-175-186
Primary Topic
Discourse Analysis and Cultural Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural and semantic features of English eponyms in the “artificial intelligence” terminology system

O. V. Shadrina
Philology and Culture
Discourse Analysis and Cultural Communication
article

Structural and semantic features of English eponyms in the “artificial intelligence” terminology system

O. V. Shadrina
article en

Abstract

The paper is focused on the structural and semantic characteristics of eponyms in the sublanguage “Artificial Intelligence” in English. The study’s relevance is determined by the rapid advancement of artificial intelligence systems and information technology in almost all spheres of human activities, which in turn leads to the creation of new lexical units. This finding highlights the necessity of conducting both theoretical and applied studies in this area of lexicology. We have found that in the sublanguage “Artificial Intelligence”, the names and surnames of individuals who have made significant contributions to the formation and development of this field of knowledge are used as a productive basis for creating new terms. We have also succeeded in revealing that anthroponyms can both undergo certain morphological transformations during the deonymization process and be used in their initial form. The most productive word-formation models are the use of an eponym in the possessive case and the formation of an eponym-based adjective. In contrast to anthroponyms, toponyms and names of literary and mythological characters shift into the category of common nouns without changing their form, but acquiring a new meaning. The study’s findings highlight the significance of eponyms as fundamental components of the language of science and technology and their impact on the way artificial intelligence concepts are understood.

Philology and Culture(4)
Moscow Institute of Physics and Technology (RU), Moscow Power Engineering Institute (RU), Moscow Aviation Institute (RU)
Quality Education
Openalex Percentile: Top 60%
Discourse Analysis and Cultural Communication
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.