Literature DB >> 15584807

Learning nonadjacent dependencies: no need for algebraic-like computations.

Pierre Perruchet1, Michael D Tyler, Nadine Galland, Ronald Peereman.   

Abstract

Is it possible to learn the relation between 2 nonadjacent events? M. Pena, L. L. Bonatti, M. Nespor, and J. Mehler (2002) claimed this to be possible, but only in conditions suggesting the involvement of algebraic-like computations. The present article reports simulation studies and experimental data showing that the observations on which Pena et al. grounded their reasoning were flawed by deep methodological inadequacies. When the invalid data are set aside, the available evidence fits exactly with the predictions of a theory relying on ubiquitous associative mechanisms. Because nonadjacent dependencies are frequent in natural language, this reappraisal has far-reaching implications for the current debate on the need for rule-based computations in human adaptation to complex structures. (c) 2004 APA

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Year:  2004        PMID: 15584807     DOI: 10.1037/0096-3445.133.4.573

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  13 in total

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3.  Familiar units prevail over statistical cues in word segmentation.

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5.  Short arms and talking eggs: Why we should no longer abide the nativist-empiricist debate.

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6.  Statistical learning in children with specific language impairment.

Authors:  Julia L Evans; Jenny R Saffran; Kathryn Robe-Torres
Journal:  J Speech Lang Hear Res       Date:  2009-04       Impact factor: 2.297

7.  Chunking or not chunking? How do we find words in artificial language learning?

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8.  Non-adjacent visual dependency learning in chimpanzees.

Authors:  Ruth Sonnweber; Andrea Ravignani; W Tecumseh Fitch
Journal:  Anim Cogn       Date:  2015-01-21       Impact factor: 3.084

9.  Syntactic learning by mere exposure--an ERP study in adult learners.

Authors:  Jutta L Mueller; Regine Oberecker; Angela D Friederici
Journal:  BMC Neurosci       Date:  2009-07-29       Impact factor: 3.288

Review 10.  Neurocognitive mechanisms of statistical-sequential learning: what do event-related potentials tell us?

Authors:  Jerome Daltrozzo; Christopher M Conway
Journal:  Front Hum Neurosci       Date:  2014-06-18       Impact factor: 3.169

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