Learning Mechanisms for Bayesian Models of Word Segmentation

Abstract

In recent years, Bayesian models have become increasingly popular as a way of understanding human cognition. Ideal learner Bayesian models assume that cognition can be usefully understood as optimal behavior under uncertainty, a hypothesis that has been supported by a number of modeling studies across various domains (e.g., Griffiths & Tenenbaum, 2005; Xu… (More)

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