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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
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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
Abstract: Several theories have been put forward to explain the phenomenon that children who are learning to speak their native language tend to omit the subject of the sentence. According to the pro-drop hypothesis, children represent the wrong grammar. According to the performance limitations view, children represent the full grammar, but omit subjects due to performance limitations in production. This paper proposes a third explanation and presents a model which simulates the data relevant to subject omission. The model consists of a simple learning mechanism that carries out a distributional analysis of naturalistic input. It does not have any overt representation of grammatical categories, and its performance limitations reside mainly in its learning mechanism. The model clearly simulates the data at hand, without the need to assume large amounts of innate knowledge in the child, and can be considered more parsimonious on these grounds alone. Importantly, it employs a unified and objective measure of processing load, namely the length of the utterance, which interacts with frequency in the input. The standard performance limitations view assumes that processing load is dependent on a phrase’s syntactic role, but does not specify a unifying underlying principle.
Keyword: Bloom; computational modelling; distributional analysis; innate knowledge; learning; MOSAIC; naturalistic input; performance limitation; pro-drop hypothesis; Subject omission; syntax
URL: http://bura.brunel.ac.uk/handle/2438/783
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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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