A CORPUS-BASED STUDY OF ANGLICISMS ACROSS DIFFERENT TEXT TYPES OF ONLINE NEWS
A CORPUS-BASED STUDY OF ANGLICISMS ACROSS DIFFERENT TEXT TYPES OF ONLINE NEWS
Author(s): Đelaludina Šukalić, Edina Rizvić-Eminović, Adnan BujakSubject(s): Foreign languages learning, Media studies, Lexis, South Slavic Languages
Published by: Filozofski fakultet, Univerzitet u Zenici
Keywords: anglicisms; B/C/S; corpus; online news; text types;
Summary/Abstract: The study focuses on the analysis of anglicisms in the Bosnian/Croatian/Serbian (B/C/S) language on the basis of the compiled corpus of online news. The corpus includes two hundred and fifty online news articles, fifty per each of the five chosen text types, published during one month, the month of January 2022, on online news sites Klix.ba and ba.N1info.com. The chosen text types are: SciTech, News, Sport, Lifestyle, and Business. The task was to determine the extent of presence of anglicisms in these text types, that is, their high frequency of occurrence along with any differences across text types. The qualitative analysis of the aforementioned corpus includes investigation of unique anglicism tokens, total frequency of anglicism occurrence as well as part of speech classification of the noted anglicisms. The analysis reveals that anglicisms show different frequencies of occurrence across the analysed text types. The SciTech and Sport sections exhibit the highest frequency of anglicisms compared to the News section with the lowest anglicism frequency.
Journal: saZnanje
- Issue Year: 3/2022
- Issue No: 3
- Page Range: 261-271
- Page Count: 11
- Language: English