Corpora and AI for inductive learning: Theory and practice

Eniko Csomay; Reka R. Jablonkai; Hui Sun

doi:10.1016/j.acorp.2025.100165

Corpora and AI for inductive learning: Theory and practice

Eniko Csomay, Reka R. Jablonkai, Hui Sun

Department of Education

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	100165
Journal	Applied Corpus Linguistics
Volume	5
Issue number	3
Early online date	11 Nov 2025
DOIs	https://doi.org/10.1016/j.acorp.2025.100165
Publication status	Published - 31 Dec 2025

Keywords

Artificial intelligence
Corpora
Inductive learning

ASJC Scopus subject areas

Social Sciences (miscellaneous)
Linguistics and Language

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10.1016/j.acorp.2025.100165

https://orca.cardiff.ac.uk/id/eprint/182904Licence: CC BY

Cite this

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KW - Inductive learning

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Corpora and AI for inductive learning: Theory and practice

Abstract

Keywords

ASJC Scopus subject areas

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