When redundancy is useful: A Bayesian approach to "overinformative" referring expressions.


Journal

Psychological review
ISSN: 1939-1471
Titre abrégé: Psychol Rev
Pays: United States
ID NLM: 0376476

Informations de publication

Date de publication:
07 2020
Historique:
pubmed: 3 4 2020
medline: 18 5 2021
entrez: 3 4 2020
Statut: ppublish

Résumé

Referring is one of the most basic and prevalent uses of language. How do speakers choose from the wealth of referring expressions at their disposal? Rational theories of language use have come under attack for decades for not being able to account for the seemingly irrational overinformativeness ubiquitous in referring expressions. Here we present a novel production model of referring expressions within the Rational Speech Act framework that treats speakers as agents that rationally trade off cost and informativeness of utterances. Crucially, we relax the assumption that informativeness is computed with respect to a deterministic Boolean semantics, in favor of a nondeterministic continuous semantics. This innovation allows us to capture a large number of seemingly disparate phenomena within one unified framework: the basic asymmetry in speakers' propensity to overmodify with color rather than size; the increase in overmodification in complex scenes; the increase in overmodification with atypical features; and the increase in specificity in nominal reference as a function of typicality. These findings cast a new light on the production of referring expressions: rather than being wastefully overinformative, reference is usefully redundant. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Identifiants

pubmed: 32237876
pii: 2020-22960-001
doi: 10.1037/rev0000186
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

591-621

Auteurs

Judith Degen (J)

Department of Psychology, Stanford University.

Robert D Hawkins (RD)

Department of Psychology, Stanford University.

Caroline Graf (C)

Institute for Cognitive Science, Osnabruck University.

Elisa Kreiss (E)

Institute for Cognitive Science, Osnabruck University.

Noah D Goodman (ND)

Department of Psychology, Stanford University.

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