Online 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 and Tenenbaum… (More)
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@inproceedings{Pearl2009OnlineLM, title={Online Learning Mechanisms for Bayesian Models of Word Segmentation}, author={Lisa Pearl and Sharon Goldwater and Mark Steyvers}, year={2009} }