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Jenkins, Gavin W.; Samuelson, Larissa K.; Smith, Jodi R.; Spencer, John P. – Cognitive Science, 2015
It is unclear how children learn labels for multiple overlapping categories such as "Labrador," "dog," and "animal." Xu and Tenenbaum (2007a) suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and…
Descriptors: Generalization, Young Children, Inferences, Models
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Samuelson, Larissa K. – Developmental Psychology, 2002
This research tested the hypothesis that young children's bias to generalize names for solid objects by shape is the product of statistical regularities among nouns in the early productive vocabulary. Fifteen- to 20-month-olds given intensive naming experiences with typical noun categories developed a precocious shape bias and showed accelerated…
Descriptors: Bias, Dimensional Preference, Language Acquisition, Models