Articles liés à A Corpus Linguistic Approach to Analyzing "Empathy"
Synopsis
This volume offers an in-depth corpus linguistic analysis of the word “empathy” aiming to foster unique insights into a word widely found across contemporary discourses and into methodological innovations for analyzing large corpora. Given the understanding of empathy’s importance for individual and social development, A Corpus Linguistic Approach to Analyzing “Empathy” demonstrates the potential of a corpus approach to shed new light on a significant yet difficult-to-define concept. Fusari systematically applies the use of concordances and other corpus output to derive patterns and recurrent phraseologies in the 36+ billion-word electronic corpus, English Web 2020, to help readers grapple with key ideas around empathy. Such questions include what we really mean by empathy, whether it is always positive, whether it is learned or innate, and whether empathy is truly what “makes us human”. The book contends with these questions across disciplines, from the clinical to the psychological and philosophical to the linguistic and discursive. Opening new areas of research into inclusive language and the use of corpus tools to analyze individual terms, this book will be of interest to students and scholars in corpus linguistics and applied linguistics, as well as such fields as cognitive science, psychology, philosophy, and allied health.
The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a CC-BY-NC-ND 4.0 license.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Sabrina Fusari is Associate Professor of English Language and Linguistics in the Department of Modern Languages, Literatures and Cultures (LILEC) at the University of Bologna, Italy.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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A Corpus Linguistic Approach to Analyzing "Empathy" (Paperback)
Edité par
Taylor & Francis Ltd, London, 2026
ISBN 10 : 1041053452
ISBN 13 : 9781041053453
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. This volume offers an in-depth corpus linguistic analysis of the word empathy aiming to foster unique insights into a word widely found across contemporary discourses and into methodological innovations for analyzing large corpora. Given the understanding of empathys importance for individual and social development, A Corpus Linguistic Approach to Analyzing Empathy demonstrates the potential of a corpus approach to shed new light on a significant yet difficult-to-define concept. Fusari systematically applies the use of concordances and other corpus output to derive patterns and recurrent phraseologies in the 36+ billion-word electronic corpus, English Web 2020, to help readers grapple with key ideas around empathy. Such questions include what we really mean by empathy, whether it is always positive, whether it is learned or innate, and whether empathy is truly what makes us human. The book contends with these questions across disciplines, from the clinical to the psychological and philosophical to the linguistic and discursive. Opening new areas of research into inclusive language and the use of corpus tools to analyze individual terms, this book will be of interest to students and scholars in corpus linguistics and applied linguistics, as well as such fields as cognitive science, psychology, philosophy, and allied health.The Open Access version of this book, available at , has been made available under a CC-BY-NC-ND 4.0 license. This volume offers an in-depth corpus linguistic analysis of the word empathy toward fostering unique insights into a word widely found across contemporary discourses and into methodological innovations for analyzing large corpora. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041053453
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Expédition nationale : Etats-Unis
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Image d'archives
A Corpus Linguistic Approach to Analyzing "Empathy" (Paperback)
Edité par
Taylor & Francis Ltd, London, 2026
ISBN 10 : 1041053452
ISBN 13 : 9781041053453
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. This volume offers an in-depth corpus linguistic analysis of the word empathy aiming to foster unique insights into a word widely found across contemporary discourses and into methodological innovations for analyzing large corpora. Given the understanding of empathys importance for individual and social development, A Corpus Linguistic Approach to Analyzing Empathy demonstrates the potential of a corpus approach to shed new light on a significant yet difficult-to-define concept. Fusari systematically applies the use of concordances and other corpus output to derive patterns and recurrent phraseologies in the 36+ billion-word electronic corpus, English Web 2020, to help readers grapple with key ideas around empathy. Such questions include what we really mean by empathy, whether it is always positive, whether it is learned or innate, and whether empathy is truly what makes us human. The book contends with these questions across disciplines, from the clinical to the psychological and philosophical to the linguistic and discursive. Opening new areas of research into inclusive language and the use of corpus tools to analyze individual terms, this book will be of interest to students and scholars in corpus linguistics and applied linguistics, as well as such fields as cognitive science, psychology, philosophy, and allied health.The Open Access version of this book, available at , has been made available under a CC-BY-NC-ND 4.0 license. This volume offers an in-depth corpus linguistic analysis of the word empathy toward fostering unique insights into a word widely found across contemporary discourses and into methodological innovations for analyzing large corpora. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781041053453
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