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Jean-Philippe Bernardy "A Logic with Measurable Spaces for Natural Language Semantics"

Research profile seminar

Research profile seminar

Join work with
Rasmus Blanck
Aleksandre Maskharashvili

The ability of humans to reason under uncertainty has reflections
within natural language where we find various lexico-syntactic
constructions which allow us to express uncertain information.
Moreover, we are able draw conclusions - make inferences under
uncertainty. To give an adequate account to this crucial aspect of natural language, it has been long argued for employing probabilistic tools in defining semantics of natural language. In this abstract we address this issue by proposing a Logic with Measurable Spaces (LMS). We argue that LMS is suitable to represent the semantics of a number of important natural language phenomena. LMS draws inspiration from several sources. It is aims at being decidable (like descriptive logics). It features Sigma spaces (like Martin-Löf type-theory). It internalises the notion of the cardinality (in fact, here, measures) of spaces and ratios
thereof, allowing to capture the notion of event probability.

Lecturer: Jean-Philippe Bernardy

Date: 10/16/2019

Time: 1:15 PM - 3:00 PM

Categories: Linguistics

Organizer: CLASP

Location: Department of Philosophy, Linguistics and Theory of Science
Dicksonsgatan 4, seminar room 112

Contact person: Stergios Chatzikyriakidis

Page Manager: Stergios Chatzikyriakidis|Last update: 5/23/2016

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