A Corpus-based Contrastive Study of the Appraisal Systems in English and Chinese Scientific Research Articles

Author:   Xu Yuchen ,  Yan Xuan ,  Su Rui ,  Kou Ying
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032164915


Pages:   356
Publication Date:   25 September 2023
Format:   Paperback
Availability:   In Print   Availability explained
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A Corpus-based Contrastive Study of the Appraisal Systems in English and Chinese Scientific Research Articles


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Author:   Xu Yuchen ,  Yan Xuan ,  Su Rui ,  Kou Ying
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.508kg
ISBN:  

9781032164915


ISBN 10:   1032164913
Pages:   356
Publication Date:   25 September 2023
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
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.

Table of Contents

1. Introduction. 2. Modifications of the Appraisal Theory. 3. The Comparison of the Appraisal Systems in English and Chinese Scientific Research Articles. 4. The Quantitative Contrast of Appraisals in English and Chinese Scientific Research Articles. 5. Conclusions.

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Author Information

Xu Yuchen is Professor of English at Foreign Languages and Literature Research Institute, Xi'an International Studies University. His research interests include Systemic Functional Linguistics, Semantics, and Discourse Analysis. He has published three monographs and over 20 research articles. Yan Xuan is Associate Professor in Stylistics, Lexicology and Psycholinguistics in the Department of English, School of Foreign Studies at Chang'an University. Su Rui is lecturer of the School of Foreign Studies at Chang’an University, interested in systemic functional linguistics. Kou Ying is lecturer at School of Foreign Language Studies of Chang'an University, interested in systemic functional linguistics, vague language and language evaluation.

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NOV RG 20252

 

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