Artificial grammar learning

Results: 34



#Item
1Reduction of Uncertainty in Human Sequential Learning: Evidence from Artificial Grammar Learning Luca Onnis () Department of Psychology, University of Warwick, Coventry, CV47AL, UK  Morten H. Christi

Reduction of Uncertainty in Human Sequential Learning: Evidence from Artificial Grammar Learning Luca Onnis () Department of Psychology, University of Warwick, Coventry, CV47AL, UK Morten H. Christi

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Source URL: cnl.psych.cornell.edu

- Date: 2006-10-09 12:18:55
    2Learning Recursion: Multiple Nested and Crossed Dependencies

    Learning Recursion: Multiple Nested and Crossed Dependencies

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2011-07-27 21:35:46
    31 16. Statistical learning as a domain-general mechanism of entrenchment Ethan Jost & Morten H. Christiansen  Abstract

    1 16. Statistical learning as a domain-general mechanism of entrenchment Ethan Jost & Morten H. Christiansen Abstract

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2016-06-08 13:02:45
    4This article was downloaded by: [Cornell University] On: 10 April 2009 Access details: Access Details: [subscription numberPublisher Psychology Press Informa Ltd Registered in England and Wales Registered Num

    This article was downloaded by: [Cornell University] On: 10 April 2009 Access details: Access Details: [subscription numberPublisher Psychology Press Informa Ltd Registered in England and Wales Registered Num

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2009-04-10 14:36:13
    5The Evolution of Subjacency without Universal Grammar: Evidence from Artificial Language Learning Michelle R. Ellefson and Morten H. Christiansen Southern Illinois University {ellefson, morten}@siu.edu The acquisition an

    The Evolution of Subjacency without Universal Grammar: Evidence from Artificial Language Learning Michelle R. Ellefson and Morten H. Christiansen Southern Illinois University {ellefson, morten}@siu.edu The acquisition an

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2009-09-20 11:08:34
    6Learning Simple Statistics for Language Comprehension and Production: The CAPPUCCINO Model Stewart M. McCauley () Morten H. Christiansen () Department of Psychology, Cornell Univ

    Learning Simple Statistics for Language Comprehension and Production: The CAPPUCCINO Model Stewart M. McCauley () Morten H. Christiansen () Department of Psychology, Cornell Univ

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2013-07-27 10:00:13
    7Overcoming memory limitations in rule learning Michael C. Frank Edward Gibson  Department of Psychology, Stanford University

    Overcoming memory limitations in rule learning Michael C. Frank Edward Gibson Department of Psychology, Stanford University

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    Source URL: tedlab.mit.edu

    Language: English - Date: 2012-08-09 14:59:28
    8PS YC HOLOGICA L SC IENCE  Research Article Statistical Learning Within and Between Modalities

    PS YC HOLOGICA L SC IENCE Research Article Statistical Learning Within and Between Modalities

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2006-11-09 12:07:33
    9Variability is the spice of learning, and a crucial ingredient for detecting and generalizing in nonadjacent dependencies Luca Onnis () Department of Psychology, Cornell University, Ithaca, NY 14853, USA

    Variability is the spice of learning, and a crucial ingredient for detecting and generalizing in nonadjacent dependencies Luca Onnis () Department of Psychology, Cornell University, Ithaca, NY 14853, USA

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2006-10-09 12:18:55
    10Statistical Learning Within and Across Modalities: Abstract versus Stimulus-Specific Representations Christopher M. Conway () Morten H. Christiansen ()

    Statistical Learning Within and Across Modalities: Abstract versus Stimulus-Specific Representations Christopher M. Conway () Morten H. Christiansen ()

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    Source URL: cnl.psych.cornell.edu

    Language: English - Date: 2009-09-20 11:07:57