Lectures

8.3357 Computational Pragmatics (KOGW-MWPM-CL) (KOGW-MWPM-KNP)

Franke

Type Language Semester Credits Hours Room Time Term Year
S e 4 4 2 W 2018
Blockveranstaltung jeweils 6 St. an 5 Tagen (9-15 Uhr): 13.03.2019, 14.03.2019, 15.03.2019, 20.03.2019, 21.03.2019
BSc: optional compulsory (Wahlpflichtbereich)
BSc examination field: Computational Linguistics (KOGW-WPM-CL)
BSc examination field: Cognitive Psychology (KOGW-WPM-KNP)
MSc: Major subject
MSc major: Linguistics and Computational Linguistics
MSc major: Cognitive Psychology

Syllabus:

Prerequisites: Statistics I and Data Analysis Informatik A: Algorithmen Introduction to Computational Linguistics Introduction to Semantics Pragmatic reasoning is reasoning about what a speaker may have meant by an utterance at a given occasion. Pragmatic reasoning requires listeners to draw on different sources of possibly uncertain information from context and world-knowledge. Likewise, listeners need to reason about the speakerâ€ös state of mind, her beliefs and goals, and possibly even about the speakerâ€ös idiosyncratic use of language. To combine these sources of information about what the speaker has likely meant we turn towards probabilistic modelling. This course will cover a sequence of increasingly complex models of listenersâ€ö probabilistic inferences about speaker meaning, including applications to referential communication, scalar implicatures, vagueness, generics, politeness and tropes. We will formulate models in a probabilistic programming language called WebPPL. We will exercise with model code by going through selected chapters of the web-book Probabilistic Language Understanding.

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