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• W2068018507 abstract "Significance How humans represent aspects of the grammar of the languages they speak is a fundamental question in psychology and linguistics. Two kinds of proposals have been made: One posits abstract structural representations, while the other takes the relevant generalizations to be stated over surface statistical regularities from data learners are exposed to. Our results, based on artificial language learning experiments, show that language learners, when confronted with a new linguistic system, systematically privilege structural similarity to their native language over surface statistical similarity. We propose that the relevant structural bias is one that prefers word order and meaning to line up in a particular way." @default.
• W2068018507 created "2016-06-24" @default.
• W2068018507 creator A5061793472 @default.
• W2068018507 creator A5082048139 @default.
• W2068018507 date "2014-03-31" @default.
• W2068018507 modified "2023-10-10" @default.
• W2068018507 title "Language learners privilege structured meaning over surface frequency" @default.
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• W2068018507 doi "https://doi.org/10.1073/pnas.1320525111" @default.
• W2068018507 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4000832" @default.
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