Happy to announce that our special issue of Language Learning on “Experimental, computational, and corpus-based approaches to language learning” is out today, co-edited with Tony McEnery and Detmar Meurers. You can access the special issue here.

Many thanks to our authors for their excellent contributions and to our peer reviewers, who provided very valuable feedback, especially on how to make the contributions accessible and relevant across disciplines.

Our editors’ introduction is available online (open access), please click here to read the introduction.

Summary:

Language acquisition occupies a central place in the study of human cognition, and research on how we learn language can be found across many disciplines, from developmental psychology and linguistics to education, philosophy and neuroscience. The investigation of a complex phenomenon like language acquisition naturally requires insights, tools, and methods from many disciplines, yet it is still relatively rare to find studies that combine multiple approaches. This volume brings together leading researchers in cognitive psychology, corpus research, developmental psychology, linguistics, and natural language processing to discuss opportunities and challenges of combining multiple approaches to language learning. The peer-reviewed chapters in this volume are written in an accessible and engaging fashion. Together, they provide the reader with a panorama of the exciting research currently being conducted at the intersection of experimental, computational and corpus-based approaches to language learning.

“This issue contains insightful state-of-the-art reviews and offers a great overview of the issues learner corpus and SLA research are facing, an absolute must-read for everyone in these and neighboring fields.” —Stefan Th. Gries, University of California, Santa Barbara

“A timely contribution on the roles that experimental, corpus-based and computational approaches play in our understanding of language learning, bringing together both conceptual overviews and empirical evidence.” —Florence Myles, University of Essex