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

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On the Probabilistic Notion of Causality: Models and Metalanguages,heory, in particular focussing on the questions: which properties of probability spaces can be axiomatized by formulas of the new languages, and which not? In particular, we can show that desirable properties of expressive power come at the cost of counterintuitive features.

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Layered Meanings and Bayesian Argumentation: The Case of Exclusives,umentative interpretation. I support my claim by focusing on the case of the adverb . and by presenting the results of experiments which show that utterances that have similar informational contents do not behave the same way when they are argumentatively evaluated.

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https://doi.org/10.1007/978-1-4614-4205-9themselves. What is lacking is a straightforward integration of this approach in a larger framework of belief representation and dynamics. This paper discusses some of the issues involved and proposes an account of belief update by conditionalization.

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Lassad Ben Ammar,Adel Mahfoudhi statistical in nature. I show that a proper application of Shannon’s concepts to the reading process provides an interesting reinterpretation of our notion of “syntax,” thus questioning some fundamental assumptions of?linguistics.

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Avi Parush,Debi Parush,Roy Ilanerged. It seems that this distinction correlates with an intuition of (non-)., that is, of (non-)independence between the main content and the presupposition. I argue that this intuition is correct to some extent but has to be clarified. To this aim, I propose a Bayesian approach, which provides a more precise rendering of orthogonality.

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https://doi.org/10.1007/978-3-031-01602-8 terms of their ability to predict relevant empirical data. The result suggests that the RSA model could be adapted and extended to improve its predictive power, in particular by taking speaker preferences into account.

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