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Cognitive linguistics has an honourable tradition of paying respect to naturally occurring language data and there have been fruitful interactions between corpus data and aspects of linguistic structure and meaning. More recently, dialect data and sociolinguistic data collection methods/theoretical concepts have started to generate interest. There has also been an increase in several kinds of experimental work. However, not all linguistic data is simply naturally occurring or derived from experiments with statistically robust samples of speakers. Other traditions, especially the generative tradition, have fruitfully used introspection and questions about the grammaticality of different strings to uncover patterns which might otherwise have gone unnoticed. The divide between generative and cognitive approaches to language is intimately connected to the kinds of data drawn on, and the way in which generalisations are derived from these data. The papers in this volume explore these issues through the lens of synchronic linguistic analysis, the study of language change, typological investigation and experimental study. Originally published in Studies in Language Vol. 36:3 (2012).
In view of the considerable number of recent publications devoted to various applications of Cognitive Linguistics, the book focusses on fields that have not been extensively dealt with within the CL framework. The book gathers presentations that deal with fields of application as defined in the introduction to the first volume in the ACL series (Kristiansen et al 2006). The articles in the first section ("From loop to cycle") are defining papers written by eminent scholars whose position within the field of CL has been firmly established. They touch upon issues of continuing relevance to the discipline and introduce thematic areas covered in the next four sections of the volume. Papers in these sections are mainly written by young scholars, whose research illustrates various ways to implement the cycle through different forms of contextualization, either presenting descriptive applications that lead to theoretical amendments or widening the field of possible applications, often interdisciplinary, e.g. to theological or metaphysical discourse. Frequently, section papers provide illustration for the empirical turn in Cognitive Linguistics, demonstrating the ways in which application of theory to new data using new methodologies leads to refinement, development or modification of the theoretical framework. The book is of relevance to students of (applied) linguistics, interested or specializing in language acquisition and pedagogy, intercultural communication, literary and translation studies, as well as to academics and students representing cognate disciplines.
Cognitive Linguistics is not a unified theory of language but rather a set of flexible and mutually compatible theoretical frameworks. This volume is of interest to scholars and students wishing to inform themselves about the state and possible future developments of Cognitive Linguistics
Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions. This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike.
Methods in Cognitive Linguistics is an introduction to empirical methodology for language researchers. Intended as a handbook to exploring the empirical dimension of the theoretical questions raised by Cognitive Linguistics, the volume presents guidelines for employing methods from a variety of intersecting disciplines, laying out different ways of gathering empirical evidence. The book is divided into five sections. Methods and Motivations provides the reader with the preliminary background in scientific methodology and statistics. The sections on Corpus and Discourse Analysis, and Sign Language and Gesture describe different ways of investigating usage data. Behavioral Research describes methods for exploring mental representation, simulation semantics, child language development, and the relationships between space and language, and eye movements and cognition. Lastly, Neural Approaches introduces the reader to ERP research and to the computational modeling of language.
This collection takes a cognitive linguistic view on analyzing language and presents innovative contemporary Finnish research to the international audience. The volume brings together nine chapters presenting empirical case studies that rely on various kinds of corpus data and experimental data or combine both types of empirical evidence. The topics vary from semantics to grammatical description, from terminological choices to language acquisition, and they study language from perspectives as diverse as psycholinguistics, comparative linguistics, and translation studies. A multi-methodological approach to linguistic research is promoted in this book. The idea is that language in all its diversity can best be studied by using the entire spectrum of modern quantitative and qualitative methods. It will appeal to academic readers, students, and established researchers, interested in the study of authentic linguistic material especially from the cognitive perspective.
In contemporary linguistics, both cognitive and critical approaches to language have been elaborated in some detail. Unfortunately, the two perspectives have seldom converged, despite the potential theoretical advances such collaboration offers. The contributions to this volume explore the convergence of cognitive and critical trends in the guise of cognitive linguistics and critical discourse analysis. The volume addresses a range of socio-political discourses in various international contexts, including discourses on nation, education, immigration, and war. One single integrated model is not presented, but rather, a number of methodologies are developed and assessed across the chapters. The application of established cognitive linguistic theories, including conceptual metaphor theory, conceptual blending theory and frame semantics, are discussed, as well as developing theories, such as metaphor power theory and discourse space theory. The book is of value to anyone interested in the interaction between language, mind, and society, including both students and scholars of cognitive linguistics and critical discourse analysis.
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) .
A general introduction to the area of theoretical linguistics known as cognitive linguistics, this textbook provides up-to-date coverage of all areas of the field, including recent developments within cognitive semantics (such as Primary Metaphor Theory, Conceptual Blending Theory, and Principled Polysemy), and cognitive approaches to grammar (such as Radical Construction Grammar and Embodied Construction Grammar). The authors offer clear, critical evaluations of competing formal approaches within theoretical linguistics. For example, cognitive linguistics is compared to Generative Grammar and Relevance Theory. In the selection of material and in the presentations, the authors have aimed for a balanced perspective. Part II, Cognitive Semantics, and Part III, Cognitive Approaches to Grammar, have been created to be read independently. The authors have kept in mind that different instructors and readers will need to use the book in different ways tailored to their own goals. The coverage is suitable for a number of courses. While all topics are presented in terms accessible to both undergraduate and graduate students of linguistics, cognitive linguistics, psycholinguistics, cognitive science, and modern languages, this work is sufficiently comprehensive and detailed to serve as a reference work for scholars who wish to gain a better understanding of cognitive linguistics.