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Bayesian Natural Language Semantics and Pragmatics

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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.

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Detail Information

Series Title

Language, Cognition, and Mind

Call Number

401.44

Publisher

Switzerland : Springer Cham., 2015

Collation

XI, 246

Language

English

ISBN/ISSN

978-3-319-17064-0

Classification

401.44

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Semiotics

Specific Detail Info

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Statement of Responsibility

Henk Zeevat, Hans-Christian Schmitz

Other Information

Cataloger

ratna

Source

https://link.springer.com/book/10.1007/978-3-319-17064-0

Validator

Taufik

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