The studies in the present volume illustrate the current state-of-the-art in the corpus-based approach in cognitive linguistics, which seeks to motivate linguistic phenomena through the combination of quantitative and qualitative analysis. By focusing on language use in different contexts from a variety of perspectives, each of the contributions in this volume presents its own unique take on the intertwined relationship between language, thought, and communication. Thus, each article shows how a combination of quantitative and qualitative analytical techniques helps shed new light on old issues, reflecting the usage-based nature of cognitive linguistics and illustrating the explanatory adequacy of corpus-based methods. Originally published as special issue of Review of Cognitive Linguistics 17:1 (2019).

Corpus Linguistics for Online Communication provides an instructive and practical guide to conducting research using methods in corpus linguistics in studies of various forms of online communication. Offering practical exercises and drawing on original data taken from online interactions, this book: introduces the basics of corpus linguistics, including what is involved in designing and building a corpus; reviews cutting-edge studies of online communication using corpus linguistics, foregrounding different analytical components to facilitate studies in professional discourse, online learning, public understanding of health issues and dating apps; showcases both freely-available corpora and the innovative tools that students and researchers can access to carry out their own research. Corpus Linguistics for Online Communication supports researchers and students in generating high quality, applied research and is essential reading for those studying and researching in this area.

Recent decades have seen a fundamental change and transformation in the commercialisation and popularisation of sports and sporting events. Corpus Approaches to the Language of Sports uses corpus resources to offer new perspectives on the language and discourse of this increasingly popular and culturally significant area of research. Bringing together a range of empirical studies from leading scholars, this book bridges the gap between quantitative corpus approaches and more qualitative, multimodal discourse methods. Covering a wide range of sports, including football, cycling and basketball, the linguistic aspects of sports language are analysed across different genres and contexts. Highlighting the importance of studying the language of sports alongside its accompanying audio-visual modes of communication, chapters draw on new digitised collections of language to fully describe and understand the complexities of communication through various channels. In doing so, Corpus Approaches to the Language of Sports not only offers exciting new insights into the language of sports but also extends the scope of corpus linguistics beyond traditional monomodal approaches to put multimodality firmly on the agenda.

The Contributors to this volume offer a broad range of novel insights about data-based or data-driven approaches to the study of both structure and function of language, reflecting the increasing shift towards corpus-based methods of analysis in a wide range of areas in linguistics. Corpora can be used as models of human linguistic experience, and the contributors demonstrate that there is ample scope for integrating such models into the descriptions of discourse, grammar and meaning. Continually improving technological development facilitates the design of larger and more comprehensive corpora documenting language use in a multitude of genres, styles and modes, even starting to include visual aspects. Software to investigate these data also becomes increasingly powerful and more refined. The sixteen original articles in this volume cover substantial ground on both the theoretical as well as applied levels. Having such data and software resources at their disposal, the contributing researchers rethink the long discussed interplay between language system and use from various angles, considering socio-cultural and cognitive involvement and representation, with synchronic as well as diachronic perspectives in view. These theories and quantitative / qualitative methods are applied to a range of topics from language acquisition and teaching to literature and politics. All of the authors in this volume reveal the profound and leading impact that Mike Stubb’s work has continued to contribute to the field of corpus-based description of language structure, use and function.

Corpus linguistics has now come of age and Corpus Approaches to Discourse equips students with the means to question, defend and refine the methodology. Looking at corpus linguistics in discourse research from a critical perspective, this volume is a call for greater reflexivity in the field. The chapters, each written by leading authorities, contain an overview of an emerging area and a case-study, presenting practical advice alongside theoretical reflection. Carefully structured with an introduction by the editors and a conclusion by leading researcher, Paul Baker, this is key reading for advanced students and researchers of corpus linguistics and discourse analysis.

This book showcases the unique possibilities of corpus linguistic methodologies in engaging with and analysing language data from social media, surveying current approaches, and offering guidelines and best practices for doing language analysis. The book provides an overview of how language in social media has been approached by linguists and non-linguists, before delving into the identification of the datasets requirements needed to pursue investigations in social media, and of the technical aspects of particular platforms that may influence the analysis, such as emoticons, retweets, and metadata. Sample Python code, along with general guidelines for using it, is provided to empower researchers to apply these techniques in their own work, supported by actual examples from three real-life case studies. Di Cristofaro highlights the full potential of using these methodologies in analysing social media language data and the ways in which they might pave the way for future applications of data analysis and processing for corpus linguistics. The book will be key reading for researchers in corpus linguistics and linguists and social scientists interested in data-driven analysis of social media.