THE EVOLUTION OF CORPUS LINGUISTICS AND LANGUAGE TEACHING IN THE AGE OF ARTICICIAL INTELLIGENCE: FROM METODOLOGICAL PRECISION TO SOCIETAL IMPACT
https://doi.org/10.5281/zenodo.20378119
Kalit so‘zlar
Corpus linguistics, artificial intelligence, language teaching, data-driven learning, digital education, learner autonomy.Annotasiya
This article examines the evolution of corpus linguistics and language teaching in the age of artificial intelligence, focusing on their methodological development and societal impact. The study analyzes how corpus-based approaches support data-driven language learning and how AI technologies influence modern educational practices through a qualitative review of relevant literature.
The findings show that corpus linguistics provides reliable linguistic evidence, while artificial intelligence enhances accessibility and personalization in learning. However, the growing use of AI also raises concerns about accuracy and critical language awareness. Overall, both approaches can be effective when applied in a balanced way.
Foydalanilgan adabiyotlar ro‘yhati
McEnery, T., & Hardie, A. (2012). Corpus linguistics: Method, theory and practice. Cambridge University Press.
Sinclair, J. (1991). Corpus, concordance, collocation. Oxford University Press.
Hunston, S. (2002). Corpora in applied linguistics. Cambridge University Press.
Pérez-Paredes, P. (2023). Corpus linguistics and AI in the reconfiguration of language learning ecologies. Language Teaching.
Reinders, H., & White, C. (2016). 20 years of autonomy and technology: How far have we come and where to next? Language Learning & Technology, 20(2), 143–154.
