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dc.contributor.authorVosoughi, Soroush
dc.contributor.authorFrank, Michael C.
dc.contributor.authorRoy, Brandon C.
dc.contributor.authorRoy, Deb K
dc.date.accessioned2012-06-06T20:36:39Z
dc.date.available2012-06-06T20:36:39Z
dc.date.issued2010-08
dc.identifier.urihttp://hdl.handle.net/1721.1/71118
dc.description.abstractHow do characteristics of caregiver speech contribute to a child's early word learning? We explore the relationship between a single child's vocabulary growth and the distributional and prosodic characteristics of the speech he hears using data collected for the Human Speechome Project, an ecologically valid corpus collected from the home of a family with a young child. We measured F0, intensity, phoneme duration, usage frequency, recurrence, and MLU for caregivers' production of each word that the child learned during the period of recording. When all variables are considered, we obtain a model of word acquisition as a function of caregiver input speech. Coefficient estimates in the model help to illuminate which factors are relevant to learning classes of words. In addition, words that deviate from the model's prediction are of interest as they may suggest important social, contextual and other cues relevant to word learning.en_US
dc.language.isoen_US
dc.publisherCognitive Science Society, Inc.en_US
dc.relation.isversionofhttp://palm.mindmodeling.org/cogsci2010/papers/0453/index.htmlen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceSoroush Vosoughien_US
dc.titleContributions of Prosodic and Distributional Features of Caregivers' Speech in Early Word Learningen_US
dc.typeArticleen_US
dc.identifier.citationVosoughi, Soroush et al. "Contributions of Prosodic and Distributional Features of Caregivers' Speech in Early Word Learning." in Proceedings of the 32nd Annual Cognitive Science Conference, CogSci 2010, p.1822-1827.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.approverVosoughi, Soroush
dc.contributor.mitauthorVosoughi, Soroush
dc.contributor.mitauthorRoy, Brandon Cain
dc.contributor.mitauthorFrank, Michael C.
dc.contributor.mitauthorRoy, Deb K.
dc.relation.journalProceedings of the 32nd Annual Cognitive Science Conferenceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsVosoughi, Soroush; Roy, Brandon C.; Frank, Michael C.; Roy, Deben_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2564-8909
dc.identifier.orcidhttps://orcid.org/0000-0002-4333-7194
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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