HOW TO FIND COMMON WORDS IN A TEXT: A CORPUS-BASED APPROACH
Keywords:
corpus linguistics, word frequency, common words, text analysis, applied linguisticsAbstract
Identifying common words in a text is a central task in corpus linguistics
and applied linguistics. Word frequency analysis provides empirical evidence about
language use and supports research in language teaching, discourse analysis, stylistics, and
natural language processing. This article presents a corpus-based discussion of how
common words in a text can be identified using both theoretical and practical approaches.
The study explains frequency analysis, stop-word removal, and keyword extraction, and
highlights their relevance for applied linguistic research. The article emphasizes the
importance of corpus tools in producing objective, replicable, and low-bias linguistic
analysis.
References
1. Biber, D., Conrad, S., & Reppen, R. (1998). Corpus linguistics: Investigating language
structure and use. Cambridge University Press. McEnery, T., & Hardie, A. (2012).
2. Corpus linguistics: Method, theory and practice. Cambridge University Press.
Nation, I. S. P. (2001).
Corpus,
3. Learning vocabulary in another language. Cambridge University Press. Sinclair, J.
(1991).
concordance,
collocation.
Oxford
University
Press.
