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Journal : Sosiohumaniora

EXPLORING THE USE OF MODAL AUXILIARY VERBS IN CORPUS OF CONTEMPORARY OF AMERICAN ENGLISH (COCA) Meita Lukitawati Sujatna; Eva Tuckyta Sari Sujatna; Kasno Pamungkas
Sosiohumaniora Vol 21, No 2 (2019): SOSIOHUMANIORA, JULI 2019
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/sosiohumaniora.v21i2.19970

Abstract

ABSTRACT. This paper deals with the frequent use of modal auxiliary verbs in Corpus of Contemporary of American English (COCA). The modal auxiliary verbs mentioned as the data are can, could, will, would, may, might, shall, should, and must. Each data collected are taken from COCA in https://corpus.byu.edu/coca/. The research method is descriptive analysis; the present writers describe every data related to their function in each clause. The findings are related to the highest frequency and the number of elements follow the modal auxiliary verbs. From the 6,008,840 data, it is found the verb would (1,301,269 data) is the most frequently used, it is followed by the verb can (1,228,608 data), the verb will (1,118,515 data), the verb could (885,835 data), the verb may (494,144 data), the verb should (435,903 data), the verb might (300,258 data), the verb must (223,936 data), and the verb shall (20,372 data). This study has also revealed the number of elements following each of modal auxiliary verbs found in the COCA. It is reported that the verb would has seven different types,will has five different types, could and should has four different types, can, may, must, and shall have three different types, and might has two different types as the least number of elements following the verb. From the data analyzed, it is also reported that the modal auxiliary verb would is not only has the highest number in data (as the highest frequency) but also has various number of elements follow the verb. 
PICTURING “CORONAVIRUS” IN NEWS ON THE WEB (NOW) CORPUS: A CORPUS LINGUISTIC STUDY Eva Tuckyta Sari Sujatna; Meita Lukitawati Sujatna; Larasati Puspa Martani Sugianto; Putri Muthia Saraswati Muljono
Sosiohumaniora Vol 24, No 1 (2022): Sosiohumaniora: Jurnal Ilmu-Ilmu Sosial dan Humaniora, MARCH 2022
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/sosiohumaniora.v24i1.34926

Abstract

Recently, “coronavirus” is viral since the outbreak firstly reported in Wuhan and today become a pandemic. The writers found the word “coronavirus” in News on the Web (NOW) corpus in a huge number. This research applied mixed-method in which quantitative and qualitative approaches are combined to provide a more complete understanding of the research. The objectives of the research are firstly, to portray the distribution and the time line of the word “coronavirus” in NOW corpus, and to identify the pair of the word “coronavirus” in NOW corpus. Based on the analysis of the data, firstly, it was reported on April 27, 2020 many countries, including Australia, New Zealand, Iran, and Spain did coronavirus lockdown to slower the growing number of coronavirus infected people and the number of the word “coronavirus” in NOW corpus increased significantly from 16,073 to 64,100 times. Secondly, it was found that the compound words containing the word “coronavirus” related to health terminologies: the compound words containing two words as nouns, the compound words containing three words as nouns, the compound words containing three words as an adjective and two nouns, compound words containing four words as nouns, and the compound words containing four words as an adjective and three nouns.