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  1.  50
    Competitive Processes in Cross‐Situational Word Learning.Daniel Yurovsky, Chen Yu & Linda B. Smith - 2013 - Cognitive Science 37 (5):891-921.
    Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross-situational word learning provides information at multiple (...)
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  2.  6
    An Integrative Account of Constraints on Cross-Situational Learning.Daniel Yurovsky & Michael C. Frank - 2015 - Cognition 145:53-62.
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    Mutual Exclusivity in Crosssituational Statistical Learning.Daniel Yurovsky & Chen Yu - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 715--720.
  4. The Active Role of Partial Knowledge in Cross-Situational Word Learning.Daniel Yurovsky, Damian Fricker, Chen Yu & Linda B. Smith - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
     
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  5.  2
    Learning Communicative Acts in Children's Conversations: A Hidden Topic Markov Model Analysis of the CHILDES Corpora.Claire Bergey, Zoe Marshall, Simon DeDeo & Daniel Yurovsky - 2022 - Wiley: Topics in Cognitive Science 14 (2):388-399.
    Topics in Cognitive Science, Volume 14, Issue 2, Page 388-399, April 2022.
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    Cross‐Situational Learning From Ambiguous Egocentric Input Is a Continuous Process: Evidence Using the Human Simulation Paradigm.Yayun Zhang, Daniel Yurovsky & Chen Yu - 2021 - Cognitive Science 45 (7):e13010.
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