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dc.contributor.advisorIdsardi, William Jen_US
dc.contributor.authorDunbar, Ewanen_US
dc.date.accessioned2013-10-03T05:32:27Z
dc.date.available2013-10-03T05:32:27Z
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1903/14500
dc.description.abstractThis thesis deals with the theory of the phonetic component of grammar in a formal probabilistic inference framework: (1) it has been recognized since the beginning of generative phonology that some language-specific phonetic implementation is actually context-dependent, and thus it can be said that there are gradient "phonetic processes" in grammar in addition to categorical "phonological processes." However, no explicit theory has been developed to characterize these processes. Meanwhile, (2) it is understood that language acquisition and perception are both really informed guesswork: the result of both types of inference can be reasonably thought to be a less-than-perfect committment, with multiple candidate grammars or parses considered and each associated with some degree of credence. Previous research has used probability theory to formalize these inferences in implemented computational models, especially in phonetics and phonology. In this role, computational models serve to demonstrate the existence of working learning/per- ception/parsing systems assuming a faithful implementation of one particular theory of human language, and are not intended to adjudicate whether that theory is correct. The current thesis (1) develops a theory of the phonetic component of grammar and how it relates to the greater phonological system and (2) uses a formal Bayesian treatment of learning to evaluate this theory of the phonological architecture and for making predictions about how the resulting grammars will be organized. The coarse description of the consequence for linguistic theory is that the processes we think of as "allophonic" are actually language-specific, gradient phonetic processes, assigned to the phonetic component of grammar; strict allophones have no representation in the output of the categorical phonological grammar.en_US
dc.titleStatistical Knowledge and Learning in Phonologyen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentLinguisticsen_US
dc.subject.pqcontrolledLinguisticsen_US
dc.subject.pqcontrolledCognitive psychologyen_US
dc.subject.pquncontrolledlanguage acquisitionen_US
dc.subject.pquncontrolledmathematical linguisticsen_US
dc.subject.pquncontrolledphoneticsen_US
dc.subject.pquncontrolledphonologyen_US


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