COLLOCATIONS WORD ON 204 TEXTS ABOUT CORONA VIRUS

Abstract

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. This study aims to find out about word collocation. In this study, researchers used the AntConc application, which is a corpus analysis application or software by entering all lexicals with a total of 204 texts and selecting several examples of collocation for analysis. After 204 text is entered in the AntConc application, the results showed that that collocation consists of two categories, grammatical and lexical, for example, adjectives are side by side with nouns, adjectives are side by side with adjectives, etc. and to find collocations and to calculate the percentage of occurrence these words can use the AntConc software application. Therefore, language collocation can be developed and studied further in the field of language.