By Henk Zeevat, Hans-Christian Schmitz
The contributions during this quantity specialise in the Bayesian interpretation of normal languages, that is usual in parts of synthetic intelligence, cognitive technological know-how, and computational linguistics. this can be the 1st quantity to soak up subject matters in Bayesian average Language Interpretation and make proposals in line with details conception, chance concept, and similar fields. The methodologies provided right here expand to the objective semantic and pragmatic analyses of computational typical language interpretation. Bayesian ways to typical language semantics and pragmatics are in accordance with equipment from sign processing and the causal Bayesian versions pioneered by way of particularly Pearl. In sign processing, the Bayesian procedure unearths the main possible interpretation via discovering the one who maximizes the made of the past likelihood and the possibility of the translation. It hence stresses the significance of a creation version for interpretation as in Grice’s contributions to pragmatics or in interpretation through abduction.
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Additional info for Bayesian Natural Language Semantics and Pragmatics
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Presupposition triggers need their presupposition in order to do their semantic or pragmatic job c. a cardinal or a cardinality adjective answer a how-many question d. parameters such as topic, time and place are subject to self-monitoring. (23a) forces the reconstruction of the speaker intention to contain a referent for the pronoun. 8 (23b) brings as discussed above both the satisfaction theory and the cumulative hypothesis. (23c) forces the construction of a how-many question and the assumption that its answer is as indicated.