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“Economy Struggle to Escape Coronacoma”

Compound Word Formation Processes of Covid-19 Related Terms in Online English News Articles

Bibliographic Data

ID21806493
AuthorsHeri Kuswoyo (0000-0001-9528-6635, Padjadjaran University), Eva Tuckyta Sari Sujatna (0000-0002-6254-5714, Padjadjaran University)
Year2023
Volume13
Issue4
Pages957-964
Publication date2023-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTheory and Practice in Language Studies (JOURNAL)
Journal identifiersISSN: 1799-2591 • E-ISSN: 2053-0692
PublisherAcademy Publication (PUBLISHER • GB)
DOI10.17507/tpls.1304.17
OpenAlexW4362450397
LanguageEN
Citations received1
References cited6

This study aimed to uncover the types of compound word formation and how the compound word formation processes of related new terms in the COVID-19 pandemic's online English news articles were formed. This study used Lieber (2009) and Plag’s (2002) compound word formation frameworks. The data were obtained from ten news articles related to the COVID-19 pandemic using a qualitative descriptive method. The results showed that there were so varied types of the derivation of compound word processes, namely coordinative, subordinative, and attributive. Meanwhile, based on the stress of compound, the study found that there were noun compound, endocentric compounds, exocentric compounds, and copulative compounds. The results of this study indicated that attributive compounds and subordinate compounds are equally dominant in the analysis. Besides, the findings revealed that noun is the most dominant words than verb or adverb. To conclude, the present study provides both theoretical and practical implications

Adverb · Attributive · Compound · Linguistics · Natural language processing · Noun · Pandemic · Verb · Word formation · Computer Science · History · Linguistics and Language Analysis · Linguistics, Language Diversity, and Identity · Medicine · Philosophy · Psychology · Swearing, Euphemism, Multilingualism · Artificial Intelligence

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

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