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Cognitive modelling of language acquisition with complex networks

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

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Cognitive modelling is a well-established computational intelligence tool, which is very useful for studying cognitive phenomena, such as young children's first language acquisition. Specifically, linguistic modelling has recently benefited greatly from complex network theory by modelling large sets of empirical linguistic data as complex networks, thereby illuminating interesting new patterns and trends. In this chapter, we show how simple network analysis techniques can be applied to the study of language acquisition, and we argue that they reveal otherwise hidden information. We also note that a key network parameter-the ranked frequency distribution of the links-provides useful knowledge about the data, even though it had been previously neglected in this domain.

Item Type: Book Section
Official URL:
Additional Information: © 2012 The Authors
Divisions: CPNSS
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
L Education > LB Theory and practice of education
Date Deposited: 10 Dec 2019 10:15
Last Modified: 16 May 2024 05:52

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