TY - JOUR AU - Ni Gusti Ayu Widiantari AU - Mirsa Umiyati AU - I Gusti Ayu Agung Dian Susanthi PY - 2022/07/04 Y2 - 2024/03/29 TI - Modal Auxiliary Verbs founds in Medical Sciences: Frequency, Structure, and Function JF - KnE Social Sciences JA - KSS VL - 7 IS - 10 SE - Articles DO - 10.18502/kss.v7i10.11297 UR - https://knepublishing.com/index.php/KnE-Social/article/view/11297 AB - This paper dealt with the frequent use of modal auxiliary verbs in Corpus of Medical Sciences article regarding coronavirus. The modal auxiliary verbs mentioned as the data were can, could, will, would, may, might, shall, should, and must. Each data collected were taken from Medical Sciences by using AncConc application. The research method was descriptive analysis; the present writers describe every data related to their function in each clause. The findings were related to the highest frequency follow the modal auxiliary verbs. From the 6.071 concordance hits data, it was found the verb can (1.505 hits) is the most frequently used, it is followed by the verb may (1.370 hits), the verb should (1.068 hits), the verb could (755 hits), the verb will (569 hits), the verb might (377 hits), the verb would (241 hits), the verb must (180 hits), and the verb shall (6 hits). This study had also revealed structure of each of modal auxiliary verbs found in the Medical Sciences From the data analyzed, it was also reported that the modal auxiliary verb can has the highest frequency.Keywords: modal auxiliary verb, corpus, medical sciences article, AntConc application ER -