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
6.1. Corpus-Based Analysis of the Most Frequent.pdf
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6.2. Hasil Cek Plagiasi Artikel Sofi Yunianti Corpus Based.pdf
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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 |
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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: | https://repository.um-surabaya.ac.id/id/eprint/6681 |