Author: Ortikov, Uktamjon Xudoyberdi o‘g‘li

Annotation: Corpus linguistics (CL) has revolutionized language teaching strategies by providing access to authentic, real-world language data that enhances both teaching and learning processes. This systematic review examines the effective applications of CL in improving vocabulary acquisition, grammatical accuracy, and pragmatic awareness through data-driven learning (DDL). The findings highlight how tools such as AntConc, COCA, and learner corpora enable teachers and learners to explore lexical patterns, collocations, and discourse features in context, fostering deeper linguistic competence and learner autonomy. Corpus-based instruction bridges the gap between prescriptive textbook approaches and natural language use, aligning with communicative language teaching (CLT) and constructivist theories of learning. However, challenges such as technical complexity, lack of teacher training, and limited accessibility to resources persist. Solutions include professional development, the development of user-friendly corpus tools, and institutional support to promote the integration of corpus linguistics into classrooms. This review emphasizes the need for further research into the long-term impact of CL-based teaching strategies and their adaptability to diverse educational contexts.

Keywords: Corpus linguistics, data-driven learning, communicative language teaching, vocabulary acquisition, grammatical accuracy, pragmatic competence, concordance tools, learner autonomy, authentic input.

Pages in journal: 119 - 133