UNSPECIFIED. (2005) Phonology impacts segmentation in online speech processing. JOURNAL OF MEMORY AND LANGUAGE, 53 (2). pp. 225-237. ISSN 0749-596X

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Abstract

Pena, Bonatti, Nespor, and Mehler (2002) investigated an artificial language where the structure of words was determined by nonadjacent dependencies between syllables. They found that segmentation of continuous speech could proceed on the basis of these dependencies. However, Pena et al.'s artificial language contained a confound in terms of phonology, in that the dependent syllables began with plosives and the intervening syllables began with continuants. We consider three hypotheses concerning the role of phonology in speech segmentation in this task: (1) participants may recruit probabilistic phonotactic information from their native language to the artificial language learning task; (2) phonetic properties of the stimuli, such as the gaps that precede unvoiced plosives, can influences segmentation; and (3) grouping by phonological similarity, between dependent syllables contributes to learning the dependency. In a series of experiments controlling the phonological and statistical structure of the language, we found that segmentation performance is influenced by the three factors in different degrees. Learning of nonadjacent dependencies did not occur when (3) is eliminated. We suggest that phonological processing provides a fundamental contribution to distributional analysis. (c) 2005 Elsevier Inc. All rights reserved.

Item Type:	Journal Article
Subjects:	P Language and Literature B Philosophy. Psychology. Religion > BF Psychology
Journal or Publication Title:	JOURNAL OF MEMORY AND LANGUAGE
Publisher:	ACADEMIC PRESS INC ELSEVIER SCIENCE
ISSN:	0749-596X
Date:	August 2005
Volume:	53
Number:	2
Number of Pages:	13
Page Range:	pp. 225-237
Identification Number:	10.1016/j.jml.2005.02.011
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/6869

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