LEXICAL BUNDLES FOUND ON JOURNAL OF MEDICAL ARTICLES REGARDING CORONA VIRUS DISEASE

Abstract

The goal of this research was to assess the utilization of lexical bundles of three and four words in medical papers about coronavirus diseases. Using a corpus-based analytic approach, this research created a tiny, specialized corpus of articles with a medical emphasis. The computational tool used to produce the commonly occurring list of sequences was AntConc 3.5.8 by Laurent Anthony. The data revealed that in terms of the pandemic of co-occurrence, the most frequent phrase was the function of three-word bundles and WHO being clinically handled as four-word bundles were detected.