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Simple Search
Hits 1 – 11 of 11
1
Developing semantic knowledge through cross-situational word learning
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
In: http://www.kachergis.com/docs/kachergis_yu_shiffrin_2014_priming.pdf (2014)
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2
Reviewed by:
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
...
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
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
In: http://www.kachergis.com/docs/kachergis_etal2013_active.pdf (2013)
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4
Actively Learning Object Names Across Ambiguous Situations
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
In: http://www.indiana.edu/~dll/papers/kachergis2012_active_topics.pdf (2012)
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5
Frequency and contextual diversity effects in cross-situational word learning
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
In: http://141.14.165.6/CogSci09/papers/521/paper521.pdf (2009)
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6
Prior knowledge bootstraps cross-situational learning
Krystal A. Klein
;
Chen Yu
;
Richard M. Shiffrin
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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7
Cross-Situational Statistical Learning: Implicit or Intentional?
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
In: http://www.indiana.edu/%7Edll/papers/george_implicit_revised.pdf
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8
Hypothesis Testing and Associative Learning in Cross-Situational Word Learning: Are They One and the Same?
Richard M. Shiffrin
In: http://www.indiana.edu/~dll/papers/yu_cogsci07_cs.pdf
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9
Adaptive Constraints and Inference in Cross-Situational Word Learning
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
In: http://www.indiana.edu/%7Edll/papers/george_adaptive_revised.pdf
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10
Frequency and Contextual Diversity Effects in Cross-Situational Word Learning
George Kachergis
;
Chen Yu
;
Richard M. Shiffrin
In: http://www.indiana.edu/~dll/papers/kachergis_cont_div_freq09.pdf
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11
Hypothesis Testing and Associative Learning in Cross-Situational Word Learning: Are They One and the Same?
Richard M. Shiffrin
In: http://csjarchive.cogsci.rpi.edu/proceedings/2007/docs/p737.pdf
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