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.
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