Corpus-driven conceptual analysis of epidemic and coronavirus for the Humanitarian Encyclopedia: A case study

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 systematisin...

Full description

Saved in:
Bibliographic Details
Published in:Terminology 2023-10, Vol.29 (2), p.180-223
Main Authors: Chambó, Santiago, León Araúz, Pilar
Format: Article
Language:English
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0929-9971
1569-9994
DOI:10.1075/term.00069.cha