A Bayesian framework for cross-situational word-learning

For infants, early word learning is a chicken-and-egg problem. One way to learn a word is to observe that it co-occurs with a particular referent across different situations. Another way is to use the social context of an utterance to infer the intended referent of a word. Here we present a Bayesian...

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Bibliographic Details
Main Authors: Goodman, Noah Daniel, Tenenbaum, Joshua B, Frank, Michael C.
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Published: Neural Information Processing Systems Foundation 2017
Online Access:http://hdl.handle.net/1721.1/112917
https://orcid.org/0000-0002-1925-2035