English Quasi-Numeral Classifiers: A Corpus-Based Cognitive-Typological Study

Author:   Xu Zhang
Publisher:   Peter Lang AG, Internationaler Verlag der Wissenschaften
Edition:   New edition
Volume:   226
ISBN:  

9783034328180


Pages:   380
Publication Date:   25 August 2017
Format:   Hardback
Availability:   In Print   Availability explained
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English Quasi-Numeral Classifiers: A Corpus-Based Cognitive-Typological Study


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Overview

This book is an interdisciplinary study of English binominal quantitative constructions based on English-Chinese comparison. Taking three perspectives, i.e. a functional-typological perspective, a cognitive approach, and a corpus-based method, it aims to unveil the hidden categorisation process behind the usage of English binominal quantitative constructions and to reveal the language universal in cognising the concepts of ‘Quantity’ and ‘Quality’. It argues against treating Chinese and English as members of two opposing typological camps concerning quantification modes (‘classifier languages’ versus ‘non-classifier languages’) and advocates to view the two languages as lying within a more extended and inclusive system, viz. a system of quantification and categorisation modes, or a Quantity-Quality continuum.

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Author:   Xu Zhang
Publisher:   Peter Lang AG, Internationaler Verlag der Wissenschaften
Imprint:   Peter Lang AG, Internationaler Verlag der Wissenschaften
Edition:   New edition
Volume:   226
Weight:   0.690kg
ISBN:  

9783034328180


ISBN 10:   3034328184
Pages:   380
Publication Date:   25 August 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Xu Zhang is currently a lecturer in the School of English Studies, Beijing Language and Culture University, China. She obtained her PhD degree in Linguistics from Lancaster University, UK. in 2009.

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