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How do we decide what to say to ensure our meanings will be understood? The Rational Speech Act model (RSA, Frank & Goodman, 2012) asserts that speakers plan what to say by comparing the informativity of words in a particular context. We present the first example of an RSA model of sentence level (who-did-what-to-whom) meanings. In these contexts, the set of possible messages must be abstracted from entities in common ground (people and objects) to possible events (Jane eats the apple, Marco peels the banana), with each word contributing unique semantic content. How do speakers accomplish the transformation from context to compositional, informative messages? In a communication game, participants described transitive events (e.g. Jane pets the dog), with only two words, in contexts where two words either were or were not enough to uniquely identify an event. Adults chose utterances matching the predictions of the RSA even when there was no possible fully 'successful' utterance. Thus we show that adults’ communicative behavior can be described by a model that accommodates informativity in context, beyond the set of possible entities in common ground. This study provides the first evidence that adults' language production is affected, at the level of argument structure, by the graded informativity of possible utterances in context, and suggests that full- blown natural speech may result from speakers who model and adapt to the listener’s needs.

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language:enAgent
foaf:Organization
language:enOrganization
Organization
foaf:name language:enName name: Center For Open Science
dcterms:identifier language:enIdentifier: https://ror.org/05d5mza29

dcterms:identifier language:enIdentifier

https://cos.io/

https://ror.org/05d5mza29

foaf:isPrimaryTopicOf is primary topic of

https://share.osf.io/trove/index-card/6e45c66b-4f19-400c-95d5-aa81a03b44c1

foaf:primaryTopic primary topic

https://osf.io/sygbe

trove:focusIdentifier

https://osf.io/sygbe

dcterms:issued language:enDate Issued

xsd:date2023-08-23