ENHANCING STUDENTS’ READING SKILLS THROUGH CORPUS ANALYSIS TOOLS
Keywords:
reading skills, corpus linguistics, corpus analysis tools, reading comprehension, data-driven learning, foreign language education.Abstract
Reading comprehension is a fundamental component of foreign language proficiency and a critical skill for academic success in higher education. In recent years, corpus linguistics has emerged as an effective methodological framework for developing reading skills through the analysis of authentic language data. This article examines the potential of corpus analysis tools to improve students’ reading skills by fostering deeper text comprehension, vocabulary awareness, and strategic reading behaviour. Drawing on data-driven learning principles, the study demonstrates how online corpora, concordance, keyword analysis, and collocation tools can be integrated into reading instruction. Examples from the British National Corpus illustrate how corpus-based tasks support learners in interpreting texts, recognizing discourse patterns, and constructing meaning more effectively. The findings suggest that corpus analysis tools contribute to improved reading comprehension, learner autonomy, and critical engagement with texts.
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