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1
Developing semantic knowledge through cross-situational word learning
In: http://www.kachergis.com/docs/kachergis_yu_shiffrin_2014_priming.pdf (2014)
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2
Reviewed by:
In: http://www.kachergis.com/docs/kachergis_yu_shiffrin_2014frontiers_implicit.pdf (2014)
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3
Actively learning object names across ambiguous situations
In: http://www.kachergis.com/docs/kachergis_etal2013_active.pdf (2013)
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4
Actively Learning Nouns Across Ambiguous Situations
In: http://mindmodeling.org/cogsci2012/papers/0102/paper0102.pdf (2012)
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5
Actively Learning Object Names Across Ambiguous Situations
In: http://www.indiana.edu/~dll/papers/kachergis2012_active_topics.pdf (2012)
Abstract: Previous research shows that people can use the co-occurrence of words and objects in ambiguous situations (i.e., containing multiple words and objects) to learn word meanings during a brief passive training period (Yu & Smith, 2007). However, learners in the world are not completely passive but can affect how their environment is structured by moving their heads, eyes, and even objects. These actions can indicate attention to a language teacher, who may then be more likely to name the attended objects. Using a novel active learning paradigm in which learners choose which four objects they would like to see named on each successive trial, this study asks whether active learning is superior to passive learning in a cross-situational word learning context. Finding that learners perform better in active learning, we investigate the strategies and discover that most learners use immediate repetition to disambiguate pairings. Unexpectedly, we find that learners who repeat only one pair per trial—an easy way to infer this pair—perform worse than those who repeat multiple pairs per trial. Using a working memory extension to an associative model of word learning with uncertainty and familiarity biases, we investigate individual differences that correlate with these assorted strategies.
Keyword: Active learning; Cross-situational learning; Individual differences; Language acquisition; Statistical learning; Temporal contiguity
URL: http://www.indiana.edu/~dll/papers/kachergis2012_active_topics.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.8446
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6
Frequency and contextual diversity effects in cross-situational word learning
In: http://141.14.165.6/CogSci09/papers/521/paper521.pdf (2009)
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7
The Effects of Repeated Sequential Context on Recognition
In: http://www.kachergis.com/docs/kachergis_cox_shiffrin_2013_recognition.pdf (2008)
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8
Prior knowledge bootstraps cross-situational learning
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1930.pdf (2008)
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9
REM II: A model of the developmental co-evolution of episodic memory and semantic knowledge
In: http://obereed.net/docs/MuellerShiffrinICDL2006.pdf (2006)
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10
A Model for Evidence Accumulation in the Lexical Decision Task
In: http://psiexp.ss.uci.edu/research/papers/rem-ld.pdf (2004)
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11
List-strength effect: I. Data and discussion
In: http://star.psy.ohio-state.edu/html/coglab/People/roger/pdf/Papers/exppsylearn90a.pdf (1990)
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12
Bayesian Modeling of Memory and Perception
In: http://psych.stanford.edu/~jlm/pdfs/ShifTxt.pdf
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13
Semantic Spaces based on Free Association that Predict Memory Performance
In: http://lsa.colorado.edu/%7Esimon/LexicalSemantics/SteyversShiffrinNelson.pdf
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14
Cross-Situational Statistical Learning: Implicit or Intentional?
In: http://www.indiana.edu/%7Edll/papers/george_implicit_revised.pdf
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15
A Model for Evidence . . .
In: http://publishing.eur.nl/ir/repub/asset/1005/psy049.pdf
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16
104 1 Cross-situational Word Learning is Better Modeled by Associations than Hypotheses
In: http://www.kachergis.com/docs/ICDL2012_hypoth_vs_assoc.pdf
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17
Actively Learning Nouns Across Ambiguous Situations
In: http://www.kachergis.com/docs/Kachergis_Yu_Shiffrin_2012CogSci_paper617_active_learning.pdf
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18
Send Correspondence To:
In: http://uweb.cas.usf.edu/~malmberg/SanbornMalmbergShiffrinVR.pdf
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19
REM-II: A model of the developmental co-evolution of episodic memory and semantic knowledge
In: http://psychology.usf.edu/dnelson/files/muellershiffrin2006icdl.pdf
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20
FEATURE FREQUENCY EFFECT 1 Running head: FEATURE FREQUENCY EFFECT Send correspondence to: Feature Frequency Effects in Recognition Memory
In: http://www-psych.stanford.edu/~msteyver/papers/featurefreq.pdf
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