Bayesian Natural Language Semantics and Pragmatics eBook

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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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Bayesian Natural Language Semantics and Pragmatics is written by Author and published by Springer. The Digital and eTextbook ISBNs for Bayesian Natural Language Semantics and Pragmatics are 9783319170640, 3319170643 and the print ISBNs are 9783319170633, 3319170635.