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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 Characterizing the Typical Information Curves of Diverse Languages Josef Klafka; Daniel Yurovsky In: Entropy ; Volume 23 ; Issue 10 (2021) BASE Show details 2 Does Statistical Word Learning Scale? It’s a Matter of Perspective Daniel Yurovsky; Linda B. Smith; Chen Yu In: http://www.thoughtfill.com/docs/yurovsky_smith_yu_cs12.pdf (2012) BASE Show details 3 Developmental Changes in the Relationship Between Grammar and the Lexicon Mika Braginsky; Daniel Yurovsky; Virginia A. Marchman... In: http://langcog.stanford.edu/papers/BYMF-underreview.pdf BASE Show details 4 Statistical Speech Segmentation and Word Learning in Parallel Daniel Yurovsky; Chen Yu; Linda B. Smith In: http://www.indiana.edu/%7Edll/yurovsky_yu_smith_bu10.pdf BASE Show details 5 Large-scale investigations of variability in children’s first words Rose M. Schneider; Daniel Yurovsky; Michael C. Frank In: http://langcog.stanford.edu/papers/SYF_underreview.pdf BASE Show details 6 Statistical word learning at scale: the baby's view is better Daniel Yurovsky; Linda B. Smith; Chen Yu In: http://www.indiana.edu/~dll/papers/yurovsky_smith_yu_ds13.pdf BASE Show details 7 Online Processing of Speech and Social Information in Early Word Learning Daniel Yurovsky; Anna Wade; Michael C. Frank In: http://langcog.stanford.edu/papers/YWF-cogsci2013.pdf BASE Show details 8 Mutual Exclusivity and Vocabulary Structure Daniel Yurovsky; Ricardo A. H. Bion; Linda B. Smith... In: http://mindmodeling.org/cogsci2012/papers/0216/paper0216.pdf BASE Show details 9 Mutual Exclusivity and Vocabulary Structure Daniel Yurovsky; Ricardo A. H. Bion; Linda B. Smith... In: http://mindmodeling.org/cogsci2012/papers/0214/paper0214.pdf BASE Show details 10 Referential cues modulate attention and memory during cross-situational word learning Kyle Macdonald; Daniel Yurovsky; Michael C. Frank In: http://langcog.stanford.edu/papers/MYF-underreview.pdf BASE Show details 11 Beyond Naı̈ve Cue Combination: Salience and Social Cues in Early Word Learning Daniel Yurovsky; Michael C. Frank In: http://langcog.stanford.edu/papers/YF-cogsci2014.pdf BASE Show details 12 An Integrative Account of Constraints on Cross-Situational Learning Daniel Yurovsky; Michael C. Frank In: http://langcog.stanford.edu/papers/YF-underreview.pdf BASE Show details 13 Linking Learning to Looking: Habituation and Association in Infant Statistical Language Learning Daniel Yurovsky; Shohei Hidaka; Chen Yu... In: http://www.indiana.edu/%7Edll/papers/yurovsky_hidaka_yu_smith_cs10.pdf BASE Show details 14 Running head: PARTIAL KNOWLEDGE 1 The Role of Partial Knowledge in Statistical Word Learning Daniel Yurovsky; Damian C. Fricker; Chen Yu... In: http://www.iub.edu/~cogdev/labwork/yurovsky_fricker_yu_smith.pdf BASE Show details 15 Signatures of Domain-General Categorization Mechanisms in Color Word Learning Daniel Yurovsky; Katie Wagner; David Barner... In: http://langcog.stanford.edu/papers/ywbf-underreview.pdf BASE Show details 16 Please address correspondence to: Daniel Yurovsky; Linda B. Smith; Chen Yu In: http://www.indiana.edu/~dll/papers/yurovsky_smith_yu_ds12.pdf BASE Show details 17 Address correspondence to: Daniel Yurovsky; Ty W. Boyer; Linda B. Smith; Chen Yu In: http://www.indiana.edu/%7Edll/papers/yurovsky_boyer_smith_yu_devsci_2012.pdf Abstract: Learning about the structure of the world requires learning probabilistic relationships: rules in which cues do not predict outcomes with certainty. However, in some cases, the ability to track probabilistic relationships is a handicap, leading adults to perform non-normatively in prediction tasks. For example, in the dilution effect, predictions made from the combination of two cues of different strengths are less accurate than those made from the stronger cue alone. Here we show that dilution is an adult problem; 11-month-old infants combine strong and weak predictors normatively. These results extend and add support for the less is more hypothesis: limited cognitive resources can lead children to represent probabilistic information differently from adults, and this difference in representation can have important downstream consequences for prediction. Keyword: language acquisitionProbabilistic Cue Combination 3 Probabilistic Cue Combination; less is more; probabilistic prediction; probability learning URL: http://www.indiana.edu/%7Edll/papers/yurovsky_boyer_smith_yu_devsci_2012.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.4053 BASE Hide details 18 Please address correspondence to: Daniel Yurovsky; Chen Yu; Linda B. Smith In: http://www.indiana.edu/~dll/papers/yurovsky_yu_smith_c12.pdf BASE Show details

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