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Volume 29, Issue 2
  • ISSN 0929-9971
  • E-ISSN: 1569-9994
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Abstract

Abstract

Since 2020, we have witnessed the emergence of new concepts and terms due to the pandemic outbreak. Some of them have even become obsolete in a short period of time whereas others are still misused despite standardization efforts. In this paper we study explicit denominative variation in the COVID-19 corpus, which consists of scientific articles released as part of the COVID-19 Open Research Dataset and is publicly available in Sketch Engine. First of all, variants for 2 and 2019 were extracted by means of knowledge patterns (e.g., ). The productiveness of knowledge patterns was analyzed and a set of 1,684 explicit variation excerpts were collected and manually annotated. A total of 371 variants were retrieved and organized in two polydenominative clusters (i.e., 177 for COVID-19 and 193 for SARS-CoV-2), which were then formally and semantically characterized by comparison with the established designations. Finally, possible causes underlying denominative variation are explored.

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2023-10-26
2024-10-12

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/content/journals/10.1075/term.00071.ben
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Denominative variation in the COVID-19 Open Research Dataset corpus
Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 29, 252 (2023); https://doi.org/10.1075/term.00071.ben
/content/journals/10.1075/term.00071.ben
/content/journals/10.1075/term.00071.ben
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  • Article Type: Research Article
Keyword(s): causes of variation; COVID-19 terminology; denominative variation; formal characterization; knowledge patterns; semantic characterization

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