Data Analytics in Cognitive Linguistics

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110687275
Total Pages : 352 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Data Analytics in Cognitive Linguistics by : Dennis Tay

Download or read book Data Analytics in Cognitive Linguistics written by Dennis Tay and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-05-09 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Theory and Data in Cognitive Linguistics

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Publisher : John Benjamins Publishing Company
ISBN 13 : 9027269602
Total Pages : 262 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Theory and Data in Cognitive Linguistics by : Nikolas Gisborne

Download or read book Theory and Data in Cognitive Linguistics written by Nikolas Gisborne and published by John Benjamins Publishing Company. This book was released on 2014-09-24 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Empirical Approaches to Cognitive Linguistics

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Publisher : Cambridge Scholars Publishing
ISBN 13 : 144389222X
Total Pages : 350 pages
Book Rating : 4.4/5 (438 download)

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Book Synopsis Empirical Approaches to Cognitive Linguistics by : Milla Luodonpää-Manni

Download or read book Empirical Approaches to Cognitive Linguistics written by Milla Luodonpää-Manni and published by Cambridge Scholars Publishing. This book was released on 2017-05-11 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Cognitive Science, Computational Intelligence, and Data Analytics

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Publisher : Elsevier
ISBN 13 : 0443160791
Total Pages : 334 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Cognitive Science, Computational Intelligence, and Data Analytics by : Vikas Khare

Download or read book Cognitive Science, Computational Intelligence, and Data Analytics written by Vikas Khare and published by Elsevier. This book was released on 2024-06-10 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems. The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. Demystifies the theory of data analytics using a step-by-step approach Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications

Big Data Analytics in Cognitive Social Media and Literary Texts

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Publisher : Springer Nature
ISBN 13 : 9811647291
Total Pages : 316 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Big Data Analytics in Cognitive Social Media and Literary Texts by : Sanjiv Sharma

Download or read book Big Data Analytics in Cognitive Social Media and Literary Texts written by Sanjiv Sharma and published by Springer Nature. This book was released on 2021-10-10 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.

Ten Lectures on Quantitative Approaches in Cognitive Linguistics

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Publisher : BRILL
ISBN 13 : 9004336222
Total Pages : 402 pages
Book Rating : 4.0/5 (43 download)

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Book Synopsis Ten Lectures on Quantitative Approaches in Cognitive Linguistics by : Stefan Th. Gries

Download or read book Ten Lectures on Quantitative Approaches in Cognitive Linguistics written by Stefan Th. Gries and published by BRILL. This book was released on 2017-03-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This series of lectures provides an overview of the author's work on quantitative applications in cognitive linguistics by discussing a wide range of studies involving corpus-linguistic as well as experimental work. After a discussion of how corpus linguistics, cognitive linguistics, and psycholinguistics relate to each other, the author discusses empirical and statistical studies of a wide variety of phenomena including morphophonology (morphological blends and alliteration effects), corpus-based cognitive semantics, frequency and association at the syntax-lexis interface. The book concludes with chapters exemplifying the role that bottom-up approaches can take, the role of statistical methods more generally, and the role of converging evidence from corpus and experimental data.The lectures for this book were given at The China International Forum on Cognitive Linguistics in May 2013. In the e-book version all handouts have been made available at the back. All audio of the lectures as well as the handouts are available for free, in Open Access, here.

Cognitive Informatics, Computer Modelling, and Cognitive Science

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Publisher : Academic Press
ISBN 13 : 0128194464
Total Pages : 408 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Cognitive Informatics, Computer Modelling, and Cognitive Science by : G. R. Sinha

Download or read book Cognitive Informatics, Computer Modelling, and Cognitive Science written by G. R. Sinha and published by Academic Press. This book was released on 2020-04-08 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume Two, Application to Neural Engineering, Robotics, and STEM presents the practical, real-world applications of Cognitive Science to help readers understand how it can help them in their research, engineering and academic pursuits. The book is presented in two volumes, covering Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume Two includes Statistics for Cognitive Science, Cognitive Applications and STEM Case Studies. Other sections cover Cognitive Informatics, Computer Modeling and Cognitive Science: Application to Neural Engineering, Robotics, and STEM. The book's authors discuss the current status of research in the field of Cognitive Science, including cognitive language processing that paves the ways for developing numerous tools for helping physically challenged persons, and more. Identifies how foundational theories and concepts in cognitive science are applicable in other fields Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM Presents basic statistics and cognitive maps, testing strategies of hypothesis, maximum likelihood estimator, Bayesian statistics, and discrete probability models of neural computation Contains in-depth technical coverage of cognitive applications and case studies, including neuro-computing, brain modeling, cognitive ability and cognitive robots

Data Science Thinking

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Publisher : Springer
ISBN 13 : 3319950924
Total Pages : 390 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Data Science Thinking by : Longbing Cao

Download or read book Data Science Thinking written by Longbing Cao and published by Springer. This book was released on 2018-08-17 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

Quantitative Methods in Cognitive Semantics: Corpus-Driven Approaches

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Author :
Publisher : Walter de Gruyter
ISBN 13 : 3110226421
Total Pages : 404 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Quantitative Methods in Cognitive Semantics: Corpus-Driven Approaches by : Dylan Glynn

Download or read book Quantitative Methods in Cognitive Semantics: Corpus-Driven Approaches written by Dylan Glynn and published by Walter de Gruyter. This book was released on 2010-11-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: In line with the increasing use of empirical methods in Cognitive Linguistics, the current volume explores the uses of quantitative, in particular corpus-driven, techniques for the study of meaning. It shows how these techniques contribute to the core theoretical issues of Cognitive Semantics as well as how they inform semantic analysis. The research presented in the volume constitutes an important step towards an Empirical Cognitive Semantics.

Cognitive Computing and Big Data Analytics

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Publisher : John Wiley & Sons
ISBN 13 : 1118896637
Total Pages : 288 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Cognitive Computing and Big Data Analytics by : Judith S. Hurwitz

Download or read book Cognitive Computing and Big Data Analytics written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2015-02-12 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Big-Data Analytics for Cloud, IoT and Cognitive Computing

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Publisher : John Wiley & Sons
ISBN 13 : 1119247020
Total Pages : 428 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big-Data Analytics for Cloud, IoT and Cognitive Computing by : Kai Hwang

Download or read book Big-Data Analytics for Cloud, IoT and Cognitive Computing written by Kai Hwang and published by John Wiley & Sons. This book was released on 2017-08-14 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Categories and Concepts

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Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Categories and Concepts by : Iven van Mechelen

Download or read book Categories and Concepts written by Iven van Mechelen and published by . This book was released on 1993 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: A book aimed at advanced undergraduates and graduates in cognitive science and artificial intelligence, linguistics, applied mathematics and data analysis.

Data Analytics for Intelligent Transportation Systems

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Publisher : Elsevier
ISBN 13 : 0128098511
Total Pages : 344 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Data Analytics for Intelligent Transportation Systems by : Mashrur Chowdhury

Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2017-04-05 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Cognitive Linguistics – The Quantitative Turn

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Publisher : Walter de Gruyter
ISBN 13 : 3110335255
Total Pages : 328 pages
Book Rating : 4.1/5 (13 download)

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Book Synopsis Cognitive Linguistics – The Quantitative Turn by : Laura A. Janda

Download or read book Cognitive Linguistics – The Quantitative Turn written by Laura A. Janda and published by Walter de Gruyter. This book was released on 2013-07-31 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to serve as a textbook for courses in statistical analysis in linguistics, this book orients the reader to various quantitative methods and explains their implications for the field. The methods include chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster analysis. The advantages and limitations of each method are detailed and each method is illustrated with exemplary articles presenting linguistic data.

Big Data in Cognitive Science

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Publisher : Psychology Press
ISBN 13 : 1315413558
Total Pages : 374 pages
Book Rating : 4.3/5 (154 download)

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Book Synopsis Big Data in Cognitive Science by : Michael N. Jones

Download or read book Big Data in Cognitive Science written by Michael N. Jones and published by Psychology Press. This book was released on 2016-11-03 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive principles. However, we have to be able to put the pieces together in a reasonable way, which necessitates both advances in our theoretical models and development of new methodological techniques. The primary goal of this volume is to present cutting-edge examples of mining large-scale and naturalistic data to discover important principles of cognition and evaluate theories that would not be possible without such a scale. This book also has a mission to stimulate cognitive scientists to consider new ways to harness big data in order to enhance our understanding of fundamental cognitive processes. Finally, this book aims to warn of the potential pitfalls of using, or being over-reliant on, big data and to show how big data can work alongside traditional, rigorously gathered experimental data rather than simply supersede it. In sum, this groundbreaking volume presents cognitive scientists and those in related fields with an exciting, detailed, stimulating, and realistic introduction to big data – and to show how it may greatly advance our understanding of the principles of human memory, perception, categorization, decision-making, language, problem-solving, and representation.

The Routledge Handbook of Cognitive Linguistics

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Publisher : Routledge
ISBN 13 : 1351034693
Total Pages : 792 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis The Routledge Handbook of Cognitive Linguistics by : Wen Xu

Download or read book The Routledge Handbook of Cognitive Linguistics written by Wen Xu and published by Routledge. This book was released on 2021-06-04 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Handbook of Cognitive Linguistics provides a comprehensive introduction and essential reference work to cognitive linguistics. It encompasses a wide range of perspectives and approaches, covering all the key areas of cognitive linguistics and drawing on interdisciplinary and multidisciplinary research in pragmatics, discourse analysis, biolinguistics, ecolinguistics, evolutionary linguistics, neuroscience, language pedagogy, and translation studies. The forty-three chapters, written by international specialists in the field, cover four major areas: • Basic theories and hypotheses, including cognitive semantics, cognitive grammar, construction grammar, frame semantics, natural semantic metalanguage, and word grammar; • Central topics, including embodiment, image schemas, categorization, metaphor and metonymy, construal, iconicity, motivation, constructionalization, intersubjectivity, grounding, multimodality, cognitive pragmatics, cognitive poetics, humor, and linguistic synaesthesia, among others; • Interfaces between cognitive linguistics and other areas of linguistic study, including cultural linguistics, linguistic typology, figurative language, signed languages, gesture, language acquisition and pedagogy, translation studies, and digital lexicography; • New directions in cognitive linguistics, demonstrating the relevance of the approach to social, diachronic, neuroscientific, biological, ecological, multimodal, and quantitative studies. The Routledge Handbook of Cognitive Linguistics is an indispensable resource for undergraduate and postgraduate students, and for all researchers working in this area.

Cognitive Linguistics

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Author :
Publisher : Walter de Gruyter
ISBN 13 : 3110803461
Total Pages : 281 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Cognitive Linguistics by : Theo Janssen

Download or read book Cognitive Linguistics written by Theo Janssen and published by Walter de Gruyter. This book was released on 2010-12-14 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: