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1
Comparing MOSAIC and the variational learning model of the optional infinitive stage in early child language
Pine, J M; Gobet, F; Freudenthal, D. - : Cognitive Science Society, 2009
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2
On the Utility of Conjoint and Compositional Frames and Utterance
Freudenthal, D; Pine, J M; Gobet, F. - : Erlbaum, 2008
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3
Meter based omission of function words in MOSAIC
Freudenthal, D; Pine, J M; Gobet, F. - : Psychology Press, 2007
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4
Towards a Unified Model of Language Acquisition
Gobet, F; Pine, J M; Freudenthal, D. - : European Cognitive Science Society, 2007
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5
Understanding the Developmental Dynamics of Subject Omission: The Role of Processing Limitations in Learning
Freudenthal, D; Pine, J M; Gobet, F. - : Cambridge Journals, 2007
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6
Simulating the Noun-Verb Asymmetry in the Productivity of Children’s Speech
Pine, J M; Gobet, F; Freudenthal, D. - : Psychology Press, 2007
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7
Linking working memory and long-term memory: A computational model of the learning of new words
Jones, G; Gobet, F; Pine, J M. - : Blackwell Publishing. The definitive version is available at onlinelibrary.wiley.com, 2007
Abstract: The nonword repetition (NWR) test has been shown to be a good predictor of children’s vocabulary size. NWR performance has been explained using phonological working memory, which is seen as a critical component in the learning of new words. However, no detailed specification of the link between phonological working memory and long-term memory (LTM) has been proposed. In this paper, we present a computational model of children’s vocabulary acquisition (EPAM-VOC) that specifies how phonological working memory and LTM interact. The model learns phoneme sequences, which are stored in LTM and mediate how much information can be held in working memory. The model’s behaviour is compared with that of children in a new study of NWR, conducted in order to ensure the same nonword stimuli and methodology across ages. EPAM-VOC shows a pattern of results similar to that of children: performance is better for shorter nonwords and for wordlike nonwords, and performance improves with age. EPAM-VOC also simulates the superior performance for single consonant nonwords over clustered consonant nonwords found in previous NWR studies. EPAM-VOC provides a simple and elegant computational account of some of the key processes involved in the learning of new words: it specifies how phonological working memory and LTM interact; makes testable predictions; and suggests that developmental changes in NWR performance may reflect differences in the amount of information that has been encoded in LTM rather than developmental changes in working memory capacity. Keywords: EPAM, working memory, long-term memory, nonword repetition, vocabulary acquisition, developmental change.
Keyword: computational modelling; language acquisition; non-word repetition; vocabulary
URL: http://bura.brunel.ac.uk/handle/2438/618
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8
Modelling the Development of Children’s use of Optional Infinitives in Dutch and English using MOSAIC
Pine, J M; Gobet, F; Freudenthal, D. - : Cognitive Science Society, 2006
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9
Unifying cross-linguistic and within-language patterns of finiteness marking in MOSAIC
Freudenthal, D; Pine, J M; Gobet, F. - : Cognitive Science Society, 2006
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10
Simulating the cross-linguistic development of optional infinitive errors in MOSAIC.
Pine, J M; Freudenthal, D; Gobet, F. - : Cognitive Science Society, 2005
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11
Simulating optional infinitive errors in child speech through the omission of sentence-internal elements.
Pine, J M; Freudenthal, D; Gobet, F. - : Cognitive Science Society, 2005
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12
Resolving ambiguities in the extraction of syntactic categories through chunking.
Gobet, F; Freudenthal, D; Pine, J M. - : Proceedings of the Sixth International Conference on Cognitive Modeling, 2004
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13
Simulating the temporal reference of Dutch and English Root Infinitives.
Freudenthal, D; Pine, J M; Gobet, F. - : Cognitive Science Society, 2004
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14
Modelling syntactic development in a cross-linguistic context
Gobet, F; Freudenthal, D; Pine, J M. - : Proceedings of the COLING 2004 Workshop, 2004
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15
The role of input size and generativity in simulating language acquisition.
Gobet, F; Freudenthal, D; Pine, J M. - : Proceedings of the European Cognitive Science Conference 2003, 2003
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16
Modelling children's negation errors using probabilistic learning in MOSAIC.
Gobet, F; Pine, J M; Croker, S. - : Proceedings of the Fifth International Conference on Cognitive Modeling, 2003
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17
Modelling the development of Dutch Optional Infinitives in MOSAIC.
Pine, J M; Freudenthal, D; Gobet, F. - : Cognitive Science Society, 2002
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18
Subject omission in children's language; The case for performance limitations in learning.
Freudenthal, D; Pine, J M; Gobet, F. - : Cognitive Science Society, 2002
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19
Modeling children’s case marking errors with MOSAIC
Croker, S; Pine, J M; Gobet, F. - : Erlbaum, 2001
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20
Modeling the optional infinite stage in MOSAIC: A generalization to Dutch
Pine, J M; Freudenthal, D; Gobet, F. - : Erlbaum, 2001
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