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dc.contributor.authorOnnis, Luca
dc.contributor.authorMonaghan, Padraic
dc.contributor.authorRichmond, Korin
dc.contributor.authorChater, Nick
dc.coverage.spatial44en
dc.date.accessioned2006-05-12T13:11:31Z
dc.date.available2006-05-12T13:11:31Z
dc.date.issued2005
dc.identifier.citationJournal of Memory and Language, 53(2):225-237, 2005.en
dc.identifier.uridoi:10.1016/j.jml.2005.02.011
dc.identifier.urihttp://hdl.handle.net/1842/1043
dc.description.abstractPeña, 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, Peña 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 influence 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 non-adjacent dependencies did not occur when (3) is eliminated. We suggest that phonological processing provides a fundamental contribution to distributional analysis.en
dc.format.extent722618 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherElsevieren
dc.subjectartificial language learningen
dc.subjectstatistical learningen
dc.subjectsegmentationen
dc.subjectphonologyen
dc.titlePhonology impacts segmentation in online speech processingen
dc.typeArticleen


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