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  1. Is Passive Syntax Semantically Constrained? Evidence From Adult Grammaticality Judgment and Comprehension Studies.Ben Ambridge, Amy Bidgood, Julian M. Pine, Caroline F. Rowland & Daniel Freudenthal - 2016 - Cognitive Science 40 (6):1435-1459.
    To explain the phenomenon that certain English verbs resist passivization, Pinker proposed a semantic constraint on the passive in the adult grammar: The greater the extent to which a verb denotes an action where a patient is affected or acted upon, the greater the extent to which it is compatible with the passive. However, a number of comprehension and production priming studies have cast doubt upon this claim, finding no difference between highly affecting agent-patient/theme-experiencer passives and non-actional experiencer theme passives. (...)
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  • The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'.Ben Ambridge, Tomoko Tatsumi, Laura Doherty, Ramya Maitreyee, Colin Bannard, Soumitra Samanta, Stewart McCauley, Inbal Arnon, Shira Zicherman, Dani Bekman, Amir Efrati, Ruth Berman, Bhuvana Narasimhan, Dipti Misra Sharma, Rukmini Bhaya Nair, Kumiko Fukumura, Seth Campbell, Clifton Pye, Pedro Mateo Pedro, Sindy Fabiola Can Pixabaj, Mario Marroquín Pelíz & Margarita Julajuj Mendoza - 2020 - Cognition 202 (C):104310.
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  • When Absence of Evidence Is Evidence of Absence: Rational Inferences From Absent Data.Anne S. Hsu, Andy Horng, Thomas L. Griffiths & Nick Chater - 2017 - Cognitive Science 41 (S5):1155-1167.
    Identifying patterns in the world requires noticing not only unusual occurrences, but also unusual absences. We examined how people learn from absences, manipulating the extent to which an absence is expected. People can make two types of inferences from the absence of an event: either the event is possible but has not yet occurred, or the event never occurs. A rational analysis using Bayesian inference predicts that inferences from absent data should depend on how much the absence is expected to (...)
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