株式会社極東書店トップ商品一覧Downward Entailing and Chinese Polarity Items.

商品詳細

Downward Entailing and Chinese Polarity Items.

Downward Entailing and Chinese Polarity Items.

・ISBN 978-1-138-57681-0 2018 hard GB£ 187.99

¥59,555.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り

・ISBN 978-0-367-59078-9 2020 paper GB£ 47.99

¥15,203.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り

電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-351-26884-4

著者・編者Chen, Li,
シリーズFrontiers in Applied Linguistics
出版社(Routledge, UK)
ページ数124 pp.
言語ENG
ニュース番号<645-3409 645-P6967>

解説

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.