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1
Characterizing the Typical Information Curves of Diverse Languages
In: Entropy ; Volume 23 ; Issue 10 (2021)
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2
Does Statistical Word Learning Scale? It’s a Matter of Perspective
In: http://www.thoughtfill.com/docs/yurovsky_smith_yu_cs12.pdf (2012)
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3
Developmental Changes in the Relationship Between Grammar and the Lexicon
In: http://langcog.stanford.edu/papers/BYMF-underreview.pdf
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4
Statistical Speech Segmentation and Word Learning in Parallel
In: http://www.indiana.edu/%7Edll/yurovsky_yu_smith_bu10.pdf
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5
Large-scale investigations of variability in children’s first words
In: http://langcog.stanford.edu/papers/SYF_underreview.pdf
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6
Statistical word learning at scale: the baby's view is better
In: http://www.indiana.edu/~dll/papers/yurovsky_smith_yu_ds13.pdf
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7
Online Processing of Speech and Social Information in Early Word Learning
In: http://langcog.stanford.edu/papers/YWF-cogsci2013.pdf
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8
Mutual Exclusivity and Vocabulary Structure
In: http://mindmodeling.org/cogsci2012/papers/0216/paper0216.pdf
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9
Mutual Exclusivity and Vocabulary Structure
In: http://mindmodeling.org/cogsci2012/papers/0214/paper0214.pdf
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10
Referential cues modulate attention and memory during cross-situational word learning
In: http://langcog.stanford.edu/papers/MYF-underreview.pdf
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11
Beyond Naı̈ve Cue Combination: Salience and Social Cues in Early Word Learning
In: http://langcog.stanford.edu/papers/YF-cogsci2014.pdf
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12
An Integrative Account of Constraints on Cross-Situational Learning
In: http://langcog.stanford.edu/papers/YF-underreview.pdf
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13
Linking Learning to Looking: Habituation and Association in Infant Statistical Language Learning
In: http://www.indiana.edu/%7Edll/papers/yurovsky_hidaka_yu_smith_cs10.pdf
Abstract: Recent experiments have shown the importance of statistical learning in infant language acquisition. Computational models of such learning, however, often take the form of corpus analyses and are thus difficult to connect to empirical data. We report a cross-situational learning experiment which demonstrates robust individual differences in learning between infants. We then present a novel generative model of cross-situational learning combining two competing processes – habituation and association. The model’s parameters are set to best reproduce each infant’s individual looking behavior from trial-to-trial in training and testing. We then isolate each infant’s word-referent learning function to explain the variance found in preferential looking tests.
Keyword: computational modeling; statistical learning
URL: http://www.indiana.edu/%7Edll/papers/yurovsky_hidaka_yu_smith_cs10.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.6363
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14
Running head: PARTIAL KNOWLEDGE 1 The Role of Partial Knowledge in Statistical Word Learning
In: http://www.iub.edu/~cogdev/labwork/yurovsky_fricker_yu_smith.pdf
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15
Signatures of Domain-General Categorization Mechanisms in Color Word Learning
In: http://langcog.stanford.edu/papers/ywbf-underreview.pdf
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16
Please address correspondence to:
In: http://www.indiana.edu/~dll/papers/yurovsky_smith_yu_ds12.pdf
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17
Address correspondence to:
In: http://www.indiana.edu/%7Edll/papers/yurovsky_boyer_smith_yu_devsci_2012.pdf
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18
Please address correspondence to:
In: http://www.indiana.edu/~dll/papers/yurovsky_yu_smith_c12.pdf
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