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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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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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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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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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Abstract:
This paper addresses the question of the domain-specificity of learning biases for phonological processes. In two artificial grammar learning experiments we explore the role of learning biases in shaping the distribution of phonological patterns across the world’s languages. In Experiment 1, we demonstrate that learners are biased toward phonological patterns that occur in natural language, as opposed to patterns that are not found across the world’s languages. Specifically, learners are biased towards directional vowel harmony spreading processes. In Experiment 2, we exposed learners to a non-linguistic analogue to vowel harmony. Learners processed spreading such that learners favored the cross-linguistically valid pattern only when the first item of the series underwent spreading. This set of similarities and differences in learning may provide some insight into the origin of learning biases for spoken languages.
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Keyword:
artificial grammar learning; phonology
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URL: http://www.cog.jhu.edu/grad-students/finley/cogsci-shapesFINAL.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.4906
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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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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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