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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
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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
Abstract: Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. But the information that learners pick up from these regularities is dependent on their learning mechanism. This paper 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 scales – both within and across trials/situations – learners could implement competition at either or both of these scales. A series of four experiments demonstrate that cross-situational learning involves competition at both levels of scale, and that these mechanisms interact to support rapid learning. The impact of both of these mechanisms is then considered from the perspective of a process-level understanding of cross-situational learning.
Keyword: language acquisitionCROSS-SITUATIONAL COMPETITION 3 Competitive Processes in Cross-Situational Word; statistical learning; word learning
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.7746
http://www.indiana.edu/~dll/papers/yurovsky_yu_smith_c12.pdf
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