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Toward Non-Taxonomic Structuring of Scientific Notions

The Case of the Language of Chemistry and the Environment

Bibliographic Data

ID5900786
AuthorsTomara Gotkova (0000-0002-9098-5725, Analyse et Traitement Informatique de la Langue Française), Francesca Ingrosso (0000-0003-3606-0235, Laboratoire de Physique et Chimie Théoriques, corresponding author), Polina Mikhel (0009-0004-1657-3951, Institut National des Langues et Civilisations Orientales), Alain Polguere (0000-0003-3469-7179, Analyse et Traitement Informatique de la Langue Française, corresponding author)
Year2024
Volume9
Issue3
Pages95
Publication date2024-03-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages9030095
OpenAlexW4392751813
LanguageEN
Citations received1
References cited18

This paper addresses the crucial question of the structuring of scientific Notions for the purpose of their proper teaching/acquisition. It aims to demonstrate that non-taxonomic structures, derived from the systematic lexicographic definition of terminological lexical units, can be rigorously constructed and are adequate for implementing a non-isolationist approach to terminology modeling: one that embeds the description of terminological units within a more global model of the general lexicon. Using theoretical and descriptive principles of Explanatory Combinatorial Lexicology and the lexicography of lexical networks known as Lexical Systems, we apply our approach to the core terminology of chemistry and chemistry-related environmental terminology. This allows us to propose Notion building road maps for three languages-English, French and Russian-that can be used as guides for the teaching/acquisition of chemistry Notions. Additionally, exploiting the special case of the noun carbon-which pertains to chemistry, environmental science and, even, general language-we demonstrate the potential of our non-isolationist approach for interfacing distinct sectors of terminological knowledge

Epistemology · Linguistics · Management science · Political science · Structuring · Chemistry · Computer Science · Engineering · linguistics and terminology studies · Natural Language Processing Techniques · Philosophy · Semantic Web and Ontologies

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    Open Access•Giorgio Maria Di Nunzio, Rute Costa et al.•Languages•2024

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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