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dc.contributor.authorGiannatsis, Timothy D.
dc.creatorGiannatsis, Timothy D.
dc.date2021-11-24T14:05:45.000
dc.date.accessioned2021-11-29T12:22:35Z
dc.date.available2021-11-29T12:22:35Z
dc.date.issued2021-05-01
dc.date.submitted2021-08-10T13:03:41-07:00
dc.identifierresearchday/2021/undergradpres/10
dc.identifier.urihttp://hdl.handle.net/20.500.13013/1543
dc.description.abstractGow's (2012) dual lexicon model proposes that wordforms are represented independently in the dorsal and ventral speech processing streams. In this paper I will describe work using convolutional neural networks trained on cochleagrams of 685,000 tokens of spoken words to explore computational pressures that contributed to the emergence of parallel lexica.
dc.titleImplementation of Convolutional Neural Networks in testing a Dual Lexical System
dc.typeevent
dc.legacy.pubstatuspublished
dc.legacy.ssustatusUndergraduate
dc.contributor.sponsorGow Jr., David
dc.legacy.pubtitleResearch Day
dc.legacy.identifieritemhttps://digitalcommons.salemstate.edu/researchday/2021/undergradpres/10
dc.legacy.identifierfilehttps://digitalcommons.salemstate.edu/context/researchday/article/1239/type/native/viewcontent


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