Book

Rethinking Applied Linguistics in the Age of Artificial Intelligence: Corpus-Based Approaches In an era of rapid technological transformation, the study of language is evolving at the intersection of linguistic inquiry, corpus-based methodologies, and artificial intelligence. Rethinking Applied Linguistics in the Age of Artificial Intelligence: Corpus-Based Approaches brings together diverse perspectives on language, discourse, communication, assessment, and digital learning, highlighting the continuing relevance of applied linguistics in a technology-driven world. The book explores key areas of linguistic research, including genre analysis, discourse analysis, transitivity and meaning-making, English as a Foreign Language (EFL), English as a Lingua Franca (ELF), language assessment, and Massive Open Online Courses (MOOCs). By bringing these areas into a shared scholarly conversation, it demonstrates the breadth of contemporary applied linguistics and its relevance to language education, professional communication, and emerging digital environments. With a focus on systematic language investigation and corpus-informed perspectives, this volume encourages critical reflection on how linguistic evidence can deepen our understanding of language use, communicative practices, educational processes, and evolving approaches to language research. It also considers the opportunities and challenges that artificial intelligence presents for linguistic analysis, language assessment, and technology-enhanced learning. Designed for researchers, university faculty, postgraduate students, language educators, and scholars of applied linguistics, this collection offers a multidisciplinary perspective on the relationship between language, technology, and society. It invites readers to reconsider established approaches to language research while exploring new directions for applied linguistics in the age of artificial intelligence.