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Items where Author is "Freudenthal, Daniel"

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Number of items: 7.

Article

Pine, Julian M., Freudenthal, Daniel and Gobet, Fernand ORCID: 0000-0002-9317-6886 (2023) Building a unified model of the Optional Infinitive Stage: simulating the cross-linguistic pattern of verb-marking error in typically developing children and children with Developmental Language Disorder. Journal of Child Language, 50 (6). 1336 - 1352. ISSN 0305-0009

Freudenthal, Daniel, Gobet, Fernand ORCID: 0000-0002-9317-6886 and Pine, Julian M. (2023) MOSAIC+: a crosslinguistic model of verb-marking errors in typically developing children and children with developmental language disorder. Language Learning. ISSN 0023-8333 (In Press)

Freudenthal, Daniel, Pine, Julian M., Jones, Gary and Gobet, Fernand ORCID: 0000-0002-9317-6886 (2015) Simulating the cross-linguistic pattern of Optional Infinitive errors in children’s declaratives and Wh- questions. Cognition, 143. 61 - 76. ISSN 0010-0277

Jones, Gary, Gobet, Fernand ORCID: 0000-0002-9317-6886, Freudenthal, Daniel, Watson, Sarah E. and Pine, Julian M. (2014) Why computational models are better than verbal theories: the case of nonword repetition. Developmental Science, 17 (2). pp. 298-310. ISSN 1363-755X

Pine, Julian M., Freudenthal, Daniel, Krajewski, Grzegorz and Gobet, Fernand ORCID: 0000-0002-9317-6886 (2013) Do young children have adult-like syntactic categories? Zipf’s law and the case of the determiner. Cognition, 127 (3). pp. 345-360. ISSN 0010-0277

Freudenthal, Daniel, Pine, Julian and Gobet, Fernand ORCID: 0000-0002-9317-6886 (2010) Explaining quantitative variation in the rate of Optional Infinitive errors across languages: a comparison of MOSAIC and the Variational Learning Model. Journal of Child Language, 37 (3). 643 - 669. ISSN 0305-0009

Book Section

Gegov, Emil, Gegov, Alexander, Gobet, Fernand ORCID: 0000-0002-9317-6886, Atherton, Mark, Freudenthal, Daniel and Pine, Julian (2012) Cognitive modelling of language acquisition with complex networks. In: Floares, Alexandru, (ed.) Computational Intelligence. Computer Science, Technology and Applications. Nova Science Publishers, New York, US, 95 - 105. ISBN 9781620819012

This list was generated on Mon Jun 17 03:21:14 2024 BST.