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Developing semantic knowledge through cross-situational word learning
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In: http://www.kachergis.com/docs/kachergis_yu_shiffrin_2014_priming.pdf (2014)
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Reviewed by:
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In: http://www.kachergis.com/docs/kachergis_yu_shiffrin_2014frontiers_implicit.pdf (2014)
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Actively learning object names across ambiguous situations
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In: http://www.kachergis.com/docs/kachergis_etal2013_active.pdf (2013)
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Actively Learning Nouns Across Ambiguous Situations
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In: http://mindmodeling.org/cogsci2012/papers/0102/paper0102.pdf (2012)
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Actively Learning Object Names Across Ambiguous Situations
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In: http://www.indiana.edu/~dll/papers/kachergis2012_active_topics.pdf (2012)
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Frequency and contextual diversity effects in cross-situational word learning
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In: http://141.14.165.6/CogSci09/papers/521/paper521.pdf (2009)
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The Effects of Repeated Sequential Context on Recognition
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In: http://www.kachergis.com/docs/kachergis_cox_shiffrin_2013_recognition.pdf (2008)
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Prior knowledge bootstraps cross-situational learning
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In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1930.pdf (2008)
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REM II: A model of the developmental co-evolution of episodic memory and semantic knowledge
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In: http://obereed.net/docs/MuellerShiffrinICDL2006.pdf (2006)
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A Model for Evidence Accumulation in the Lexical Decision Task
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In: http://psiexp.ss.uci.edu/research/papers/rem-ld.pdf (2004)
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List-strength effect: I. Data and discussion
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In: http://star.psy.ohio-state.edu/html/coglab/People/roger/pdf/Papers/exppsylearn90a.pdf (1990)
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Bayesian Modeling of Memory and Perception
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In: http://psych.stanford.edu/~jlm/pdfs/ShifTxt.pdf
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Semantic Spaces based on Free Association that Predict Memory Performance
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In: http://lsa.colorado.edu/%7Esimon/LexicalSemantics/SteyversShiffrinNelson.pdf
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Cross-Situational Statistical Learning: Implicit or Intentional?
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In: http://www.indiana.edu/%7Edll/papers/george_implicit_revised.pdf
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A Model for Evidence . . .
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In: http://publishing.eur.nl/ir/repub/asset/1005/psy049.pdf
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Abstract:
We present a new model for lexical decision, REM-LD, that is based on REM theory (e.g., Shiffrin & Steyvers, 1997). REM-LD uses a principled (i.e., Bayes ’ rule) decision process that simultaneously considers the diagnosticity of the evidence for the ‘WORD ’ response and the ‘NONWORD ’ response. The model calculates the odds ratio that the presented stimulus is a word or a nonword by accumulating likelihood ratios for each lexical entry in a small neighborhood of similar words. We report two experiments that used the signal-to-respond paradigm to obtain information about the time course of lexical processing. Experiment 1 verified the prediction of the model that the frequency of the word stimuli affects performance for nonword stimuli. Experiment 2 was done to study the effects of nonword lexicality, word frequency, and repetition priming and to demonstrate how REM-LD can account for the observed results. We discuss how REM-LD can be extended to account for effects of phonology such as the pseudohomophone effect, and how REM-LD can predict response times in the popular ‘respond-when-ready ’ paradigm. Several other quantitative models of lexical decision are evaluated with respect to the findings reported here.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.9299 http://publishing.eur.nl/ir/repub/asset/1005/psy049.pdf
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104 1 Cross-situational Word Learning is Better Modeled by Associations than Hypotheses
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In: http://www.kachergis.com/docs/ICDL2012_hypoth_vs_assoc.pdf
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Actively Learning Nouns Across Ambiguous Situations
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In: http://www.kachergis.com/docs/Kachergis_Yu_Shiffrin_2012CogSci_paper617_active_learning.pdf
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Send Correspondence To:
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In: http://uweb.cas.usf.edu/~malmberg/SanbornMalmbergShiffrinVR.pdf
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REM-II: A model of the developmental co-evolution of episodic memory and semantic knowledge
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In: http://psychology.usf.edu/dnelson/files/muellershiffrin2006icdl.pdf
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FEATURE FREQUENCY EFFECT 1 Running head: FEATURE FREQUENCY EFFECT Send correspondence to: Feature Frequency Effects in Recognition Memory
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In: http://www-psych.stanford.edu/~msteyver/papers/featurefreq.pdf
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