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Titlebook: Bayesian Natural Language Semantics and Pragmatics; Henk Zeevat,Hans-Christian Schmitz Book 2015 Springer International Publishing Switzer

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Measurement-Theoretic Foundations of Logic for Better Questions and Answers,omotor (Information and inference, 148–194, .), and to propose a new version of complete logic for better questions and answers—Better-Question-and-Answer Logic (.)—the model of the language of which is based on the qualitative and measurement-theoretic approach.
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Book 2015rpretation 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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2364-4109 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.978-3-319-38625-6978-3-319-17064-0Series ISSN 2364-4109 Series E-ISSN 2364-4117
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https://doi.org/10.1007/978-1-4614-4205-9NLI if there is no particular emphasis on semantics and pragmatics) is basically an engineering decision. It is a cognitive science hypothesis that humans emulate BNLSP. That hypothesis offers a new perspective on the logic of interpretation and the recognition of other people’s intentions in inter-
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Weidong Huang,Leila Alem,Mark A. Livingstona are taken from the study of Cummins et al. (.). They showed that subjects infer upper bounds for the true number . when ‘.’ has been used. They also showed that the difference between upper and lower bounds differs with the roundness of .. We show how the data can be explained by a production mode
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https://doi.org/10.1007/978-1-4614-4205-9tional) probabilities, which is related to the notion of causality. The first one is well-known as meta-language of Bayesian networks; the other two are new and seem to match better our intuition of a causal connective. We provide definitions of truth and validity, as well as some elementary model t
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