Corpus-Based Analysis of the Most Frequent Adjective on Covid-19

Idda, Astia and Sofi, Yunianti (2020) Corpus-Based Analysis of the Most Frequent Adjective on Covid-19. Journal of EFL and Linguistics, 5 (2). pp. 505-515. ISSN P-ISSN: 2503-4197, E-ISSN: 2527-5070

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Abstract

This study aims to investigate the type of adjectives in the most frequent adjectives and also the use of the adjective functions on academic writing about COVID-19. This study was conducted by using a corpus tool named sketchengine. The method of this study was a mixed-method by combining quantitative and qualitative approaches. The source of the data was corpus about COVID-19 academic writing due to the fact that COVID-19 has been the trending topic around the globe and also became an international concern. There were several data collection steps; those were first, knowing the most frequent adjective in the COVID-19 corpus by choosing a wordlist. Second, the data were taken 20 the most frequent adjectives used in COVID-19 corpus because 20 data have already represented the most frequent adjectives. Third, it chose the concordance to comprehend the function of the adjective in the COVID-19 corpus. Fourth, 20 the most frequent adjectives were inputted one at a time on concordance. Fifth, the data were analyzed based on the related theory. Finally, it is inferred that the adjective type on the most frequent adjective is a describing adjective, which has the function to frame the condition, situation and characteristic of the noun on the COVID-19 cases. Keywords: adjective, corpus, covid-19

Item Type:	Article
Subjects:	P Language and Literature > PI Oriental languages and literatures
Divisions:	Jurnal > Fakultas Keguruan dan Ilmu Pendidikan
Depositing User:	SOFI YUNIANTI YUNIANTI
Date Deposited:	04 Apr 2023 05:41
Last Modified:	04 Apr 2023 05:41
URI:	http://repository.um-surabaya.ac.id/id/eprint/6681

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