Quotation and Truth-Conditional Pragmatics (Frontiers in Applied Linguistics)

<p>In the past decades, quotation theories have developed roughly along three lines―quotation types, meaning effects, and theoretical orientations toward the semantics/pragmatics distinction. Currently, whether the quoted expression is truth-conditionally relevant to the quotational sentence, and if there is a truth-conditional impact, whether it is generated via semantic or pragmatic processes, have become the central concerns of quotation studies.\nIn this book, quotation is clearly defined for the first time as a constituent embedded within yet distinctive from the quotational sentence. Also, as the first monograph to address the semantics/pragmatics boundary dispute over quotation, it argues that the semantic content of quotation amounts to its contribution to the intuitive truth-conditional content of the quotational utterance via two modes of presentation, which are incarnated in the functioning of quotation marks and manifested as use and mention. The use/mention-based analysis in this book can shed light on the semantic theorizing of other metalinguistic phenomena, while the semantics/pragmatics perspective will provide methodological implications for other relevant studies.\nThe new conception of quotation and thought-provoking analysis on use/mention, truth-conditional pragmatics, and the semantics/pragmatics boundary in this book will appeal to scholars and students in philosophy of language and linguistics. It will also serve as a clear guide to the current state of quotation studies and how to formulate a semantic theory of quotation.</p>

Literature & Fiction

Wang, Xiaofei

History & Criticism

Routledge

In the past decades, quotation theories have developed roughly along three lines―quotation types, meaning effects, and theoretical orientations toward the semantics/pragmatics distinction. Currently, whether the quoted expression is truth-conditionally relevant to the quotational sentence, and if there is a truth-conditional impact, whether it is generated via semantic or pragmatic processes, have become the central concerns of quotation studies. In this book, quotation is clearly defined for the first time as a constituent embedded within yet distinctive from the quotational sentence. Also, as the first monograph to address the semantics/pragmatics boundary dispute over quotation, it argues that the semantic content of quotation amounts to its contribution to the intuitive truth-conditional content of the quotational utterance via two modes of presentation, which are incarnated in the functioning of quotation marks and manifested as use and mention. The use/mention-based analysis in this book can shed light on the semantic theorizing of other metalinguistic phenomena, while the semantics/pragmatics perspective will provide methodological implications for other relevant studies. The new conception of quotation and thought-provoking analysis on use/mention, truth-conditional pragmatics, and the semantics/pragmatics boundary in this book will appeal to scholars and students in philosophy of language and linguistics. It will also serve as a clear guide to the current state of quotation studies and how to formulate a semantic theory of quotation.

Integrating Edge Intelligence and Blockchain: What, Why, and How (Wireless Networks)

Niyato, Dusit

Leung, Victor C. M.

Qiu, Chao

Ren, Xiaoxu

Xiong, Zehui

Reference

Springer

<p>As an important enabler for changing people's lives, advances in arti&#64257;cial intelligence (AI)-based applications and services are on the rise, despite being hindered by ef&#64257;ciency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.</p>

Edge AI: Convergence of Edge Computing and Artificial Intelligence

Computers & Technology

Chen, Xu

Han, Yiwen

Yan, Xueqiang

Computer Science

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