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Corpus-Based Analysis of French and English Neologisms in Media Discourse

Bibliographic Data

ID21972455
AuthorsNatalia M Nepomniashchikh (Peoples' Friendship University of Russia), Anna S Zhandarova (Peoples' Friendship University of Russia), Andrey S Korzin (0000-0003-2441-7954, Peoples' Friendship University of Russia)
Year2023
Volume15
Issue2
Pages53-61
Publication date2023-01-01
Open AccessYes
TypeARTICLE
VenueВестник Пермского университета Российская и зарубежная филология (JOURNAL)
Journal identifiersISSN: 2073-6681 • E-ISSN: 2658-6711
PublisherPerm State University (PSU) (PUBLISHER)
DOI10.17072/2073-6681-2023-2-53-61
OpenAlexW4389869213
LanguageEN
References cited2

Language development is an ongoing process, and changes occur at all levels of the lan-guage. This article discusses the changes in the lexical composition of French and English, namely neolo-gisms. Media discourse was chosen as the material for the study because it is characterized by a high dyna-mism of changes and reflects, interprets many new phenomena of objective reality, with new language struc-tures used to describe them. The study was based on linguistic data from Néoveille and WebCorp platforms. In addition to quantitative and distributive methods, a qualitative and component analysis of neologisms was applied to their word-formation models and connotations. In 2022 the most frequent neologisms in French were personnes-années, demies-journées, grande-reporters, and tout-mots, in English –liveaboard, micro-mobility, effective altruism, and tomato flu. Additionally, some neologisms were analyzed in context. In 2022 metaphorical neologisms were found to be more common in English than in French. Neologismsap-pear more often in contexts that are related to technology and politics. Based on the study, lists of the most common neologisms were compiled, which can be used in the teaching of foreign languages at high levels. Undoubtedly, it is necessary to further study neologisms that appear in different languages and the ways of detecting them in various texts because, despite the high level of development of the tools of computational and corpus linguistics, their methods and tools still have limitations and shortcomings that require an expert assessment of the results obtained

Linguistics · Neologism · Computer Science · Discourse Analysis and Cultural Communication · History · linguistics and terminology studies · Linguistics, Language Diversity, and Identity · Artificial Intelligence

  • Political Language

    Jacob Murray Edelman•Political Language•1977

  • The semantics of linguistic science

    Open Access•J R Firth•Lingua•1949

Highly citedNo

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