Please use this identifier to cite or link to this item: doi:10.22028/D291-40873
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Title: Pragmatics of Metaphor Revisited: Formalizing the Role of Typicality and Alternative Utterances in Metaphor Understanding
Author(s): Mayn, Alexandra
Demberg, Vera
Editor(s): Culbertson, Jennifer
Language: English
Title: Cognitive diversity : 44th Annual Meeting of the Cognitive Science Society (CogSci 2022) : Toronto, Canada, 27-30 July 2022
Pages: 3178ff.
Publisher/Platform: Curran Associates, Inc.
Year of Publication: 2022
Place of publication: Red Hook, NY
Place of the conference: Toronto, Canada
DDC notations: 400 Language, linguistics
Publikation type: Conference Paper
Abstract: Experimental pragmatics tells us that a metaphor conveys salient features of a vehicle and that highly typical features tend to be salient. But can highly atypical features also be salient? When asking if John is loyal and hearing “John is a fox”, will the hearer conclude that John is disloyal because loyalty is saliently atypical for a fox? This prediction follows from our RSA-based model of metaphor understanding which relies on gradient salience. Our behavioral experiments corroborate the model's predictions, providing evidence that high and low typicality are salient and result in high interpretation confidence and agreement, while average typicality is not salient and makes a metaphor confusing. Our model implements the idea that other features of a vehicle, along with possible alternative vehicles, influence metaphor interpretation. It produces a significantly better fit compared to an existing RSA model of metaphor understanding, supporting our predictions about the factors at play.
URL of the first publication: https://escholarship.org/uc/item/7kq207zs
Link to this record: urn:nbn:de:bsz:291--ds-408730
hdl:20.500.11880/36715
http://dx.doi.org/10.22028/D291-40873
ISBN: 978-1-7138-6793-7
Date of registration: 27-Oct-2023
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Vera Demberg
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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