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1
Simulating the referential properties of Dutch, German and English Root Infinitives in MOSAIC
Pine, JM; Freudenthal, D; Gobet, F. - : Taylor and Francis, 2008
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2
Towards a Unified Model of Language Acquisition
Gobet, F; Pine, J M; Freudenthal, D. - : European Cognitive Science Society, 2007
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3
Modelling the developmental patterning of finiteness marking in English, Dutch, German and Spanish using MOSAIC
Freudenthal, D; Pine, JM; Aguado-Orea, J. - : Elsevier, 2007
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4
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
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5
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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6
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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7
On the resolution of ambiguities in the extraction of syntactic categories through chunking
Freudenthal, D; Gobet, F; Pine, JM. - : Elsevier, 2005
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8
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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9
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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10
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
Abstract: This paper presents an analysis of the role of input size and generativity (ability to produce novel utterances) in simulating developmental data on a phenomenon in first language acquisition. An existing model that has already simulated the basic phenomenon is trained on input sets of varying sizes (13,000 to 40,000 utterances). The ability of the model to produce novel utterances is also manipulated. Both input size and generativity affect the fits for later stages of development. Higher generativity improves fits for later stages, but worsens them for early stages, suggesting generativity is best increased as a function of mean length of utterance (MLU). The effect of training set is variable. Results are discussed in terms of optimal training sets for simulations, and children’s developing ability to produce utterances beyond the input they have heard.
Keyword: acquisition of language; computational modelling; generativity; input; MLU; MOSAIC; optional infinitive; Wexler
URL: http://bura.brunel.ac.uk/handle/2438/781
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11
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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12
Modelling the development of Dutch Optional Infinitives in MOSAIC.
Pine, J M; Freudenthal, D; Gobet, F. - : Cognitive Science Society, 2002
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13
Modeling children’s case marking errors with MOSAIC
Croker, S; Pine, J M; Gobet, F. - : Erlbaum, 2001
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14
Réseaux de discrimination en psychologie: L'exemple de CHREST
Gobet, F. - : Verlag Hans Huber, 2001
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15
Modeling the optional infinite stage in MOSAIC: A generalization to Dutch
Pine, J M; Freudenthal, D; Gobet, F. - : Erlbaum, 2001
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16
Learning novel sound patterns
Jones, G; Gobet, F; Pine, J M. - : Universal Press, 2000
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17
A process model of children's early verb use
Jones, G; Gobet, F; Pine, J M. - : Erlbaum, 2000
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18
What do connectionnist simulations tell us?
Gobet, F. - : Cambridge University Press, 1999
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