Bayesian Natural Language Semantics and Pragmatics

Nonfiction, Reference & Language, Language Arts, Linguistics, Computers, Advanced Computing
Cover of the book Bayesian Natural Language Semantics and Pragmatics by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319170640
Publisher: Springer International Publishing Publication: June 19, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319170640
Publisher: Springer International Publishing
Publication: June 19, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Future Viability, Business Models, and Values by
Cover of the book Glowworm Swarm Optimization by
Cover of the book Radiation Effects in Polymeric Materials by
Cover of the book Mothers in Medicine by
Cover of the book Optimization Problems in Graph Theory by
Cover of the book Complicated War Trauma and Care of the Wounded by
Cover of the book Studies in Theoretical and Applied Statistics by
Cover of the book RF Tunable Devices and Subsystems: Methods of Modeling, Analysis, and Applications by
Cover of the book Brain Function and Responsiveness in Disorders of Consciousness by
Cover of the book The Semantic Web – ISWC 2018 by
Cover of the book Advances in Human Factors in Cybersecurity by
Cover of the book Political Correctness and the Destruction of Social Order by
Cover of the book Urological Cancer Management by
Cover of the book Lost Ecstasy by
Cover of the book Information and Communication Technologies in Organizations and Society by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy