Corpus Linguistics as a Data-Driven Approach to Modern Language Analysis

Authors

  • Boymatova Shahrizoda
  • Homidova Shohsanam

Keywords:

Corpus Linguistics, corpus analysis, data-driven linguistics, authentic language data, computational linguistics, lexicography, corpus-based research, language patterns, linguistic corpus, discourse analysis.

Abstract

Corpus Linguistics is one of the most rapidly developing branches of modern linguistics that studies language through large and systematically organized collections of authentic texts called corpora. Unlike traditional linguistic approaches that mainly relied on intuition or artificially created examples, corpus linguistics focuses on real language data obtained from spoken and written communication. This data-driven approach allows researchers to examine vocabulary, grammar, collocations, discourse patterns, and semantic relations with greater accuracy and objectivity.

References

McEnery, T., & Wilson, A. (2001). Corpus Linguistics: An Introduction. Edinburgh University Press.

Biber, D., Conrad, S., & Reppen, R. (1998). Corpus Linguistics: Investigating Language Structure and Use. Cambridge University Press.

Sinclair, J. (1991). Corpus, Concordance, Collocation. Oxford University Press.

Kennedy, G. (1998). An Introduction to Corpus Linguistics. Longman.

Stubbs, M. (2002). Words and Phrases: Corpus Studies of Lexical Semantics. Blackwell Publishing.

Downloads

Published

2026-05-09

How to Cite

Boymatova Shahrizoda, & Homidova Shohsanam. (2026). Corpus Linguistics as a Data-Driven Approach to Modern Language Analysis. NAZARIY VA AMALIY FANLARDAGI USTUVOR ISLOHOTLAR VA ZAMONAVIY TA’LIMNING INNOVATSION YO’NALISHLARI, 3(5), 11–13. Retrieved from https://innovativepublication.uz/index.php/NUZY/article/view/5837