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Direct linkXu, Fei; Tenenbaum, Joshua B. – Psychological Review, 2007
The authors present a Bayesian framework for understanding how adults and children learn the meanings of words. The theory explains how learners can generalize meaningfully from just one or a few positive examples of a novel word's referents, by making rational inductive inferences that integrate prior knowledge about plausible word meanings with…
Descriptors: Prior Learning, Inferences, Associative Learning, Vocabulary Development
