Corpus Approaches To Language Thought And Communication

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).

Tato studie zkoumá vzájemnou souhru polysémie, kontextu, pojmu a konstruování, přičemž pro ilustraci využívá konstrukční schéma [V] – [UP] (angličtina) a [V] – [SHANG] (čínština). Kromě této kognitivně sémantické analýzy se kniha zabývá též dvěma hlavními východisky kognitivní lingvistiky. Na jednu stranu jde o přesvědčení, že význam do značné míry závisí na archetypálním pojímání, což odráží základní kognitivní dispozice člověka. Současně je však subjektivita vnímána jako klíčový prvek při studiu lexikální sémantiky, a to nejen v tom ohledu, že role konceptualizujícího subjektu (tj. mluvčího) je výchozí při každém užití jazyka, ale také s ohledem na nezbytnost subjektivního mentálního „scanningu“ v porozumění výrazně utlumeným lexikálním významům.

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.

This book offers original corpus research in a range of workplace contexts including office-based settings, call center interactions and healthcare communication. Chapters in this edited volume bring together leading scholars in the field of corpus analysis in workplace discourse and include data from multiple corpora. Employing a range of qualitative and quantitative analytic approaches including Conversation Analysis, Linguistic Profiling and Register Analysis, the book introduces unique specialized corpus data in the areas of Augmentative and Alternative Communication, nursing, and cross-cultural communication, among others.

John Taylor argues that an individual's knowledge of a language is a repository of memories. Similarities between items lead to generalizations then used to generate new expressions. He makes a compelling contribution to understanding language and the operations of the mind. The book will appeal to linguists, philosophers, and cognitive scientists.

This book focusses on computer methodologies as a way of investigating language and character in literary texts. Both theoretical and practical, it surveys investigations into characterization in literary linguistics and personality in social psychology, before carrying out a computational analysis of Virginia Woolf's experimental novel The Waves. Frequencies of grammatical and semantic categories in the language of the six speaking characters are analyzed using Wmatrix software developed by UCREL at Lancaster University. The quantitative analysis is supplemented by a qualitative analysis into recurring patterns of metaphor. The author concludes that these analyses successfully differentiate all six characters, both synchronically and diachronically, and claims that this methodology is also applicable to the study of personality in non-literary language. The book, written in a clear and accessible style, will be of interest to post-graduate students and academics in linguistics, stylistics, literary studies, psychology and also computational approaches.

In this book, Adolphs and Carter explore key approaches to work in spoken corpus linguistics. The book discusses some of the pioneering challenges faced in designing, building and utilising insights from the analysis of spoken corpora, arguing that, even though writing is heavily privileged in corpus research, the spoken language can reveal patterns of language use that are both different and distinctive and that this has important implications for the way in which language is described, for the study of human communication and for the field of applied linguistics as a whole. Spoken Corpus Linguistics is divided into two main parts. The first part sets the scene by discussing traditional and new approaches to monomodal spoken corpus analysis, with a focus on discourse organisation and conversational interaction and with particular attention to forms of language such as discourse markers and multi-word units, areas of language not conventionally described but which are argued to be of importance to spoken language description and to spoken language learning and teaching research within the field of applied linguistics. The second part of the book moves into the multimodal domain and focuses on alignments between language and gesture in a spoken corpus, with particular reference to gestural movements of the head and the hand and to the different ways in which prosody might be used to enhance communication. A brief final chapter discusses new developments in the area of spoken corpus research, including the relationship between language and context, emerging research methods as well as discussing possible shifts in scope and emphasis in spoken corpus research in the future.

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.