Corpora and AI for inductive learning: Theory and practice

Csomay, Eniko, Jablonkai, Reka R. and Sun, Hui 2025. Corpora and AI for inductive learning: Theory and practice. Applied Corpus Linguistics 5 (3) , 100165. 10.1016/j.acorp.2025.100165

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Abstract

In this ACORP special issue, contributors explore the rapidly evolving intersection of corpus linguistics and generative artificial intelligence (GenAI) in language learning, teaching, and research. As GenAI tools gain prominence alongside established corpus-based approaches, new pedagogical opportunities and challenges emerge for learners, teachers, and researchers alike. The articles in this issue collectively examine how corpora and GenAI can be integrated to enhance language analysis, genre awareness, writing development, and instructional design. Together, they offer critical insights into how these complementary technologies can inform DDL, promote critical digital literacies, and reshape the future of language education and applied linguistics research.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > English, Communication and Philosophy
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by-nc-nd/4.0/, Start Date: 2027-11-27
Publisher:	Elsevier
ISSN:	2666-7991
Date of Acceptance:	11 November 2025
Last Modified:	04 Dec 2025 12:30
URI:	https://orca.cardiff.ac.uk/id/eprint/182904

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