Rational statistical inference: A critical component for word learning

Behavioral and Brain Sciences 24 (6):1123-1124 (2001)
Abstract
In order to account for how children can generalize words beyond a very limited set of labeled examples, Bloom's proposal of word learning requires two extensions: a better understanding of the “general learning and memory abilities” involved, and a principled framework for integrating multiple conflicting constraints on word meaning. We propose a framework based on Bayesian statistical inference that meets both of those needs.
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