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Research Trends in Discourse Analysis and Language Acquisition in the Artificial Intelligence Era

Research Trends in the AI Era

by Maria Luisa Carrió-Pastor (Volume editor) Carlos Periñán-Pascual (Volume editor)
©2026 Edited Collection XVI, 256 Pages
Series: Linguistic Insights, Volume 319

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Summary

This volume reflects on this topic and adds information about the different approaches within discourse analysis and language acquisition that consider artificial intelligence (AI). This book challenges the traditional approach to discourse and language acquisition, incorporating technology and AI's role in language studies. It is distinctive in the sense that it offers several chapters that focus on linguistic analysis considering AI. The particular benefits offered by its content, scope, organization and/or educational features are that it provides two aspects that are crucial in Linguistics: on the one hand, it shows the use of AI in discourse analysis and, on the other, it focuses on the advances in language acquisition with the incorporation of AI. The needs it aims to satisfy are to show examples of the use of AI and the advances in language that include AI, demonstrating that linguistic studies can be complemented with AI.

Details

Pages
XVI, 256
Publication Year
2026
ISBN (Hardcover)
9783034356701
Language
English
Keywords
Artificial Intelligence Teaching Discourse Analysis ChatGPT Multimodality
Published
Lausanne, Berlin, Bruxelles, Chennai, New York, Oxford, 2025. xvi, 254 pp., 6 fig. col., 38 fig. b/w, 21 tables.
Product Safety
Peter Lang Group AG

Biographical notes

Maria Luisa Carrió-Pastor (Volume editor) Carlos Periñán-Pascual (Volume editor)

María Luisa Carrió-Pastor is a Professor of Applied Linguistics at Universitat Politècnica de València. Her research focuses on digital and academic discourse, contrastive linguistics, and the teaching of English as a foreign language. Carlos Periñán-Pascual is a Associate Professor of Applied Linguistics at Universitat Politècnica de València. His research interests focus on natural language processing, computational linguistics, knowledge engineering, and text mining.

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Title: Research Trends in Discourse Analysis and Language Acquisition in the Artificial Intelligence Era