By Henk Zeevat, Hans-Christian Schmitz
The contributions during this quantity concentrate on the Bayesian interpretation of usual languages, that's commonly used in parts of synthetic intelligence, cognitive technology, and computational linguistics. this can be the 1st quantity to soak up issues in Bayesian traditional Language Interpretation and make proposals according to details idea, likelihood conception, and similar fields. The methodologies provided right here expand to the objective semantic and pragmatic analyses of computational normal language interpretation. Bayesian techniques to typical language semantics and pragmatics are according to equipment from sign processing and the causal Bayesian types pioneered by means of in particular Pearl. In sign processing, the Bayesian process reveals the main possible interpretation by way of discovering the person who maximizes the fabricated from the past likelihood and the chance of the translation. It therefore stresses the significance of a construction version for interpretation as in Grice’s contributions to pragmatics or in interpretation via abduction.
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Additional resources for Bayesian Natural Language Semantics and Pragmatics
Without it no inferences can be made about upper bounds. 8 We prefer a representation which describes the communication process and the experimental situation more directly. As we are mainly interested in the general architecture of such a representation, we consider only a limited subset of the experimental results. e. even if, in OT terms, the speaker ranks Quantity over Salience. 5 A Causal Bayesian Network Model Our aim is to explain the experimental data shown in Fig. 2 on ‘more than 100’.
On round numbers: pragmatic aspects of numerical expressions. Journal of Quantitative Linguistics, 8(3), 187–201. Krifka, M. (1999). At least some determiners aren’t determiners. In K. ), The semantics/pragmatics interface from different points of view. Current research in the semantics/pragmatics interface (Vol. 1, pp. 257–292). Oxford: Elsevier. Levinson, S. C. (1983). Pragmatics. Cambridge: Cambridge University Press. Pearl, J. (2000). Causality: Models, reasoning, and inference.
Jansen, C. , & Pollmann, M. M. (2001). On round numbers: pragmatic aspects of numerical expressions. Journal of Quantitative Linguistics, 8(3), 187–201. Krifka, M. (1999). At least some determiners aren’t determiners. In K. ), The semantics/pragmatics interface from different points of view. Current research in the semantics/pragmatics interface (Vol. 1, pp. 257–292). Oxford: Elsevier. Levinson, S. C. (1983). Pragmatics. Cambridge: Cambridge University Press. Pearl, J. (2000). Causality: Models, reasoning, and inference.
Bayesian Natural Language Semantics and Pragmatics by Henk Zeevat, Hans-Christian Schmitz