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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/781

Title: The role of input size and generativity in simulating language acquisition.
Authors: Freudenthal, D
Pine, J M
Gobet, F
Keywords: generativity
input
MLU
MOSAIC
acquisition of language
computational modelling
MOSAIC
optional infinitive
Wexler
Publication Date: 2003
Publisher: Proceedings of the European Cognitive Science Conference 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.
URI: http://bura.brunel.ac.uk/handle/2438/781
Appears in Collections:Psychology
Dept of Life Sciences Research Papers

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