Semantic analyses of texts for eliciting and representing concepts: the TermCork project

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Abstract

Within the scope of the TermCork project, we intend to explore the contribution of texts for conceptually based terminological work. Given that texts are vehicles for knowledge transfer, they should be processed according to their original purpose, namely the verbal transmission of knowledge in a context of specialized communication.Going beyond this function implies looking at texts from a different angle. Based on the double dimension of Terminology, this paper targets the analysis of texts for onomasiological ends, focusing on the analysis of intensional and contextual definitions aiming at identifying information and knowledge that will allow us to make lexical maps on the one hand, and conceptual maps on the other. Definitions are thusat the core of this study. The linguistic analysis we undertook over definitions in natural language will demonstrate that different levels of analysis can be performed given the different semantic information conveyed. Thus, from different realities under analysis, different outcomes are attained.
Original languageEnglish
Title of host publicationActes de la Conférence TOTh 2016
Subtitle of host publicationTerminologie & Ontologie: Théories et Applications
EditorsS. Carvalho, C. Brun
Place of PublicationChambéry
PublisherÉditions de l’université de Savoie Mont Blanc
Pages167-200
Number of pages33
ISBN (Electronic)978-2-919732-82-1
ISBN (Print)978-2-919732-82-1
Publication statusPublished - 2018
EventConference Terminology & Ontology: Theories and Applications - University of Savoie, Chambéry, France
Duration: 9 Jun 201610 Jun 2016
Conference number: 10
http://toth.condillac.org/toth-2016

Conference

ConferenceConference Terminology & Ontology: Theories and Applications
Abbreviated titleTOhT 2016
CountryFrance
CityChambéry
Period9/06/1610/06/16
Internet address

Keywords

  • Terminology
  • Specialized corpus
  • Lexical-semantic relations
  • Term
  • Concept
  • Conceptual maps
  • Knowledge organization

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