Bayesian Natural Language Semantics and Pragmatics (Paperback, Softcover reprint of the original 1st ed. 2015)

The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice’s contributions to pragmatics or in interpretation by abduction.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Language, Cognition, and Mind, 2
Release date:	October 2016
First published:	2015
Editors:	Henk Zeevat • Hans-Christian Schmitz
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	246
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-38625-6
Categories:	Books > Humanities > General Books > Computing & IT > General Books > Language & Literature > Language & linguistics > Computational linguistics Books > Language & Literature > Language & linguistics > Semantics (meaning) > General
LSN:	3-319-38625-5
Barcode:	9783319386256

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