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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)
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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)
Abstract: Recent research has highlighted the ability of adults as well as infants to learn word-to-world mappings over the course of statistical occurrences containing within-trial ambiguity. Participants in these studies are unfamiliar with all words and referents at the onset of these experiments, which differs from real-life word learning experience, in which learners are unlikely to enter a situation without any prior knowledge. Here we present a variation of the paradigm from Yu and Smith (2007) in which participants are taught a subset of the to-be-learned vocabulary prior to being exposed to the same training and test phases as in the initial experiment. Comparing results in conditions where participants had knowledge of some word-to-referent pairs prior to training with the data without prior knowledge shows the dramatic effects of prior knowledge in statistical word learning. Moreover, the behavioral data in this study provides valuable modeling constraints, as are demonstrated through simulations using several associative models of learning strategy.
Keyword: computational; Language acquisition; prior knowledge; word learning
URL: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1930.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.574.7267
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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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