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   系統號碼942885
   書刊名Abstract entity anaphora in argumentative texts [electronic resource] : pragmatic features and referent interpretation /
   主要著者Liu, Donghong.
   其他著者SpringerLink (Online service);臺灣學術電子書聯盟 (TAEBC)
   出版項Singapore : Imprint: Springer, 2023.
   索書號P299.A5
   ISBN9789819946303
   標題Anaphora (Linguistics)
English language-Anaphora.
Chinese language-Anaphora.
Pragmatics.
Theoretical Linguistics / Grammar.
Morphology.
Sociolinguistics.
   電子資源https://doi.org/10.1007/978-981-99-4630-3
   
    
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內容簡介This book focuses on abstract entity anaphora in argumentative texts with Asher's (1993) Segmented Discourse Representation Theory (SDRT) as the theoretical framework, investigating its pragmatic features and exploring its referent interpretation. The data sources include more than 160,000-word argumentative texts (80,000-word English texts and 80,000-word Chinese ones) selected from newspapers, journals, and books in China and America. At first, a comparative study was done between Chinese and English argumentative texts so as to compare the pragmatic features of abstract entity anaphora in the two languages. Then, referent interpretation is explored within the SDRT framework. Although SDRT can account for most of the instances of abstract entity anaphora, it appears incompetent in dealing with some phenomena in the data of our study. Seven problems in SDRT were found, and corresponding solutions were proposed in an attempt to improve this theory. In general, this book has three aspects of significance. Firstly, it establishes abstract entity anaphora as an independent and a special kind of anaphora. Secondly, the research methods are the combination of empirical study and theoretical hypotheses as well as the coalescent of dynamic study and static study. Thirdly, the book is not limited to the application of SDRT to Mandarin Chinese and backward anaphora. Instead, based on the linguistic phenomena in the data, it challenges and improves the theory, and it even negates some aspects and meanwhile brings forward new solutions.

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