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Ventral Premotor Cortex Lesions disrupt learning of sequential syntactic structures
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In: http://epubs.surrey.ac.uk/737178/1/Opitz.2012.Cortex. AGL vPM Patients.final Revision.pdf (2009)
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| 42 |
Assimilation as Attraction: Computing Distance, Similarity, and Locality in Phonology
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| 43 |
Unspoken knowledge : implicit learning of structured human dance movement
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| 45 |
Learning Recursive Automata from Positive Examples
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In: ISSN: 0992-499X ; EISSN: 1958-5748 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle ; https://hal.inria.fr/inria-00470101 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2006, New Methods in Machine Learning. Theory and Applications, 20 (6), pp.775-804. ⟨10.3166/ria.20.775-804⟩ (2006)
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| 47 |
Phonology impacts segmentation in online speech processing
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In: J MEM LANG , 53 (2) 225 - 237. (2005) (2005)
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Abstract:
Pena, Bonatti, Nespor, and Mehler (2002) investigated an artificial language where the structure of words was determined by nonadjacent dependencies between syllables. They found that segmentation of continuous speech could proceed on the basis of these dependencies. However, Pena et al.'s artificial language contained a confound in terms of phonology, in that the dependent syllables began with plosives and the intervening syllables began with continuants. We consider three hypotheses concerning the role of phonology in speech segmentation in this task: (1) participants may recruit probabilistic phonotactic information from their native language to the artificial language learning task; (2) phonetic properties of the stimuli, such as the gaps that precede unvoiced plosives, can influences segmentation; and (3) grouping by phonological similarity, between dependent syllables contributes to learning the dependency. In a series of experiments controlling the phonological and statistical structure of the language, we found that segmentation performance is influenced by the three factors in different degrees. Learning of nonadjacent dependencies did not occur when (3) is eliminated. We suggest that phonological processing provides a fundamental contribution to distributional analysis. (c) 2005 Elsevier Inc. All rights reserved.
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Keyword:
8-MONTH-OLD INFANTS; artificial language learning; CUES; GRAMMAR; phonology; segmentation; statistical learning; STATISTICS; WORD SEGMENTATION
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URL: http://discovery.ucl.ac.uk/146898/
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| 50 |
Context-free and context-sensitive dynamics in recurrent neural networks
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| 51 |
Artificial Grammar Learning by 1-Year-Olds Leads to Specific and Abstract Knowledge
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In: http://dingo.sbs.arizona.edu/~gerken/Articles/Gomez%26Gerken.pdf (1999)
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A cross-linguistic study in learning prosodic rhythms: Rules, constraints, and similarity
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In: Symplectic Elements at Oxford ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; CrossRef (1999)
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Address correspondence to:
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In: http://www.wjh.harvard.edu/~lds/pdfs/pdfs/pdfs/Thothathiri%20Snedeker%20Hannon%20submitted.pdf
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| 58 |
Linguistic and Non-Linguistic Influences on Learning Biases for Vowel Harmony
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In: http://www.cog.jhu.edu/grad-students/finley/cogsci-shapesFINAL.pdf
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| 59 |
Integrating Syntactic and Semantic Tools in Sfy A Case Study in Lexical Acquisition
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In: http://www-student.cse.buffalo.edu/~pmheider/papers/TheShotgunApproach_PaulMHeider2008.pdf
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| 60 |
A Matter of Time: Implicit Acquisition of Recursive Sequence Structures
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In: http://141.14.165.6/CogSci09/papers/562/paper562.pdf
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