Downward Entailing and Chinese Polarity Items (e-bog) af Chen, Li
Chen, Li (forfatter)

Downward Entailing and Chinese Polarity Items e-bog

348,37 DKK (inkl. moms 435,46 DKK)
Polarity phenomena are pervasively observed in natural languages. Previous studies on Chinese polarity items are mainly in line with the non-veridicality approach. This book, however, employs the downward-entailing hypothesis as its analytical foundation, and argues that downward entailment is the only licensor for different kinds of Chinese polarity items, and non-veridicality is neither a nec...
E-bog 348,37 DKK
Forfattere Chen, Li (forfatter)
Forlag Routledge
Udgivet 11 maj 2018
Længde 124 sider
Genrer 2GDC
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781351268837
Polarity phenomena are pervasively observed in natural languages. Previous studies on Chinese polarity items are mainly in line with the non-veridicality approach. This book, however, employs the downward-entailing hypothesis as its analytical foundation, and argues that downward entailment is the only licensor for different kinds of Chinese polarity items, and non-veridicality is neither a necessary nor sufficient condition and thus offers inferior explanatory power compared with the former. To begin with, it lays the groundwork for this research by presenting a brief introduction to polarity phenomena and reviewing the existing relevant theories. Then it addresses the status of the commonly used element dou in Chinese. Specifically, it applies the tripartite structural frame to the studies of dou, and examines the role of dou in licensing the polarity items. Moreover, it investigates the properties and behavior of dou with respect to modality. Based on the analysis above, it observes that non-interrogative wh-indeterminates in Chinese can be licensed in the restriction domain of a necessity operator. Also, the non-uniformity of three Chinese polarity items, i.e., shenme, na-CL, and renhe, is scrutinized within the downward-entailing framework. This book will appeal to scholars, teachers and students in the field of linguistics, especially in the areas of formal semantics and generative grammar. Researchers and engineers in cloud computing and big data who are seeking help from linguistic contributions to meaning and logic will also benefit from it.