Corpus Linguistics: Bridging Theory and Practice in Language Science

Corpus linguistics utilizes extensive real-world text collections to offer empirical, data-driven insights across linguistic disciplines. This approach enhances language teaching, improves the understanding of language processing in the brain, and provides fresh perspectives on literary analysis. In Natural Language Processing (NLP), corpora form the basis for training AI models, leading to more precise machine translation, speech recognition, and text analysis. These applications advance theoretical understanding and foster innovation in education, technology, and communication.

Exploration of the Intersection of Corpus Linguistics and Language Science examines the integration of corpus linguistics with language teaching, psycholinguistics, literary analysis, and NLP. Research and empirical studies demonstrate how corpus methodologies strengthen linguistic theory, guide practical applications, and propel advancements in language-related fields. Topics covered include phonemic awareness, cognitive patterns, and writing performance.