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All Journal Indonesian Journal of EFL and Linguistics
Sofi Yunianti
University of Muhammadiyah Surabaya
Education Languange, Linguistic, Communication & Media Social Sciences

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Corpus-Based Analysis of the Most Frequent Adjective on Covid-19 Idda Astia; Sofi Yunianti
Indonesian Journal of EFL and Linguistics Indonesian Journal of EFL and Linguistics, 5(2), November 2020
Publisher : Pusat Pelatihan, Riset, dan Pembelajaran Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.153 KB) | DOI: 10.21462/ijefl.v5i2.318

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.
Co-Authors Idda Astia