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