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Computing phonological generalization over real speech exemplars

Kirchner, R., Moore, R.K. and Chen, T.Y. (2010) Computing phonological generalization over real speech exemplars. Journal of Phonetics, 38 (4). pp. 540-547. ISSN 0095-4470


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Though it has attracted growing attention from phonologists and phoneticians Exemplar Theory (e g Bybee 2001) has hitherto lacked an explicit production model that can apply to speech signals An adequate model must be able to generalize but this presents the problem of how to generate an output that generalizes over a collection of unique variable-length signals Rather than resorting to a priori phonological units such as phones we adopt a dynamic programming approach using an optimization criterion that is sensitive to the frequency of similar subsequences within other exemplars the Phonological Exemplar-Based Learning System We show that PEBLS displays pattern-entrenchment behaviour central to Exemplar Theory s account of phonologization (C) 2010 Elsevier Ltd All rights reserved

Item Type: Article
Copyright, Publisher and Additional Information: © 2010 Elsevier. This is an author produced version of a paper subsequently published in Journal of Phonetics. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Linguistics; Memory; Words
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 24 Jan 2011 16:54
Last Modified: 08 Feb 2013 17:30
Published Version: http://dx.doi.org/10.1016/j.wocn.2010.07.005
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.wocn.2010.07.005
URI: http://eprints.whiterose.ac.uk/id/eprint/42797

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