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In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse, and put corpus data to use. This volume takes a three-fold perspective on DDL. It first looks at DDL and its role in informing language learning theory and how it might shed light on the language development process; secondly it addresses how DDL can help us characterise learner language and inform teaching accordingly, and thirdly it showcases practical applications for the use of DDL in classrooms. The contributors to this volume examine a variety of instructional settings and languages across the world. They reflect on theoretical, methodological and classroom implications using both novel and established language learning theories, natural language processing (NLP), longitudinal research designs, and a variety of language learning targets. The present volume is an invitation from some of the leading researchers in DDL to reflect on the research avenues that will define the field in the coming years.

Corpus Linguistics for Education provides a practical and comprehensive introduction to the use of corpus research-methods in the field of education. Taking a hands-on approach to showcase the applications of corpora in the exploration of educationally relevant topics, this book:• covers 18 key skills including corpus building, the role of frequency, different corpus methods, transcription and annotation;• demonstrates the use of available corpora and desktop and online corpus analysis tools to conduct original analyses;• features case studies and step-by-step guides within each chapter;• emphasises the use of interview data in research projects.Corpus Linguistics for Education is an essential guide for students and researchers studying or conducting their own corpus-based research in education.

The present collection of articles represents research efforts in the field of specialised languages, including the analysis of research articles in disciplines as diverse as Biomedicine and Computing, on the one hand, and overlapping disciplines such as in Social Sciences, on the other, all with high relevance to English for Academic Purposes, and English for specific Purposes. The volume offers empirical evidence obtained from corpus-based analyses of language, both from diachronic as well as synchronic perspectives, on topics such as the role of mother tongue in professional writing, the analysis of conference abstracts as a genre, or the analysis of visual data transfer. This collection addresses issues such as the implementation of lexicons for specialised language learning, and the development of ontologies to research language patterns. The volume thus provides a rich repertoire of research methodologies, in-depth analyses of specialised discourses, and the identification and discussion of relevant pedagogic issues.