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Metaphor from the Ground Up
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Metaphor from the Ground Up : Understanding Figurative Language in Context

Book Details

Format Paperback / Softback
ISBN-10 1498547923
ISBN-13 9781498547925
Publisher Bloomsbury Publishing Plc
Imprint Lexington Books
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 21st, 2021
Print length 196 Pages
Weight 300 grams
Dimensions 15.00 x 22.80 x 1.70 cms
Ksh 7,150.00
Manufactured on Demand 0 in stock

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Cross-referencing neurobiological knowledge with the invariance hypothesis, relevance theory, and frame semantics, Metaphor from the Ground Up: Understanding Figurative Language in Context unifies metaphor theory, fundamentally rethinks “context,” and moves linguistics into the twenty-first century.
Metaphor from the Ground Up introduces Conceptual Filtering Theory, a theory of mental processing that describes figurative language communication in terms of conceptual domain projection and contextual disambiguation. In an attempt to match theoretical observations from cognitive semantics and pragmatics with related knowledge about mental processes from cognitive neuroscience, CFT first examines the distributed nature of conceptualization and then uses this background information to explain metonymic “binding” and metaphoric “mapping.” Once the perceptual origins of metonymy and metaphor have been demonstrated, CFT offers a detailed account of how salient aspects of conceptualization differentially combine to achieve predictable inferencing results in linguistic communication. In addition, CFT characterizes the role of contextual effects in pruning salient inferencing options and demonstrates how situational frames can be manipulated to guide semantic outcomes. The book as a whole will assert that figurative language processing cannot be characterized in terms of a generically constituted base system that receives inputs and spits out predictable results according to logical probability in a situational vacuum. Rather, it is a dynamic, context-sensitive process that continually reweights the underlying system so as to rapidly select situation-relevant lines of inferencing from among a variety of salient inferencing options.

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