CORPUS STUDIES IN APPLIED LINGUISTICS

Abstract

Statistical measures have become fundamental tools in. corpus linguistics, enabling researchers to quantify linguistic phenomena and identify significant patterns across large datasets. This paper explores the role of statistics in corpus-based research, focusing on the application of quantitative indicators such as frequency, Mutual Information (MI), Log-Likelihood (LL), and Chi-square tests. By integrating statistical methods with qualitative linguistic interpretation, corpus linguistics bridges the gap between computational analysis and human understanding of language. The study also reviews how statistical measures enhance accuracy, replicability, and objectivity in linguistic inquiry, supporting research in areas such as collocation analysis, discourse studies, and language pedagogy.