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Article published In:
The terminological impact of pandemics: COVID-19 and beyond
Edited by Maria-Cornelia Wermuth and Paul Sambre
[Terminology 29:2] 2023
► pp. 180–223

Corpus-driven conceptual analysis of epidemic and coronavirus for the Humanitarian Encyclopedia

A case study

ORCID logo | University of Granada
ORCID logo | University of Granada
Terminological conceptual analysis can be applied to purposes beyond terminology work. This article presents a Frame-based Terminology approach adapted to analyse concepts and inform the content of entries in the Humanitarian Encyclopedia. It proposes a method for conceptual analysis by systematising the extraction of knowledge rich contexts (KRCs) around corpus querying tasks through semantic sketch grammars (SSGs) and macros with knowledge patterns (KPs). KRCs are curated manually, modelled into conceptual propositions, and combined with corpus metadata into unified datasets. The method was tested on epidemic and coronavirus and their results are presented. This study provides a preliminary model to operationalise the study of conceptual variation. It also identifies the areas of terminological conceptual analysis with the potential to be informed by other research methods towards creating a standalone methodology.
Keywords: conceptual analysis, conceptual variation, multidimensionality, lexical data, Frame-based Terminology
Article outline
  • 1.Introduction
  • 2.Conceptual analysis
    • 2.1Non-terminological conceptual analysis
    • 2.2Nuopponen’s systematic conceptual analysis
    • 2.3Conceptual analysis in Frame-based Terminology
  • 3.Materials and methods
    • 3.1The HE Corpus
    • 3.2CORD-19
    • 3.3Sketch Engine
    • 3.4Semantic sketch grammar (SSG) and KPs macros
    • 3.5The Humanitarian Encyclopedia (HE) as a broader research framework
      • 3.5.1Initial steps: Goal delimitation, domain exposure, and compilation of material
      • 3.5.2Systematic KRC extraction
      • 3.5.3KRC decomposition and data consolidation
      • 3.5.2Inductive categorisation of MWT hyponyms and concepts in second argument position
  • 4.Results
    • 4.1Conceptual analysis of epidemic
      • 4.1.1Definitions of epidemic
      • 4.1.2A categorisation of epidemic: Hypernyms and hyponyms
      • 4.1.3Causes and consequences of epidemic
      • 4.1.5 epidemic can be managed
    • 4.2Conceptual analysis of coronavirus
      • 4.2.1 Genera of coronavirus definitions
      • 4.2.1 Differentiae of coronavirus definitions
      • 4.2.3MWT hyponyms of coronavirus
      • 4.2.2Meronyms of coronavirus
      • 4.2.4Seven types of human coronavirus
  • 5.Discussion
  • 6.Conclusion
  • Acknowledgements
  • Notes
  • References
Published online: 26 October 2023
DOI logo
https://doi.org/10.1075/term.00069.cha
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