Show simple item record

dc.contributor.advisorAdam Albright.en_US
dc.contributor.authorDo, Young Ahen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Linguistics and Philosophy.en_US
dc.date.accessioned2014-01-23T18:42:46Z
dc.date.available2014-01-23T18:42:46Z
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/84416
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 2013.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 198-203).en_US
dc.description.abstractWhat is the initial state of the grammar when children begin to figure out patterns of phonological alternations? This thesis documents the developmental stages of children acquiring Korean verb and noun paradigms, and provides a unified account using the initial Output-Output correspondence (OO-CORR) bias. It is claimed that OO-CORR constraints are undominated in the initial state but the empirical evidence for this claim is primarily anecdotal. I provide experimental support for the claim. In the acquisition literature, children's innovative forms are normally attributed to imperfect or incomplete mastery of the adult grammar. The evidence presented in this thesis suggests that children in some intermediate stages are able to produce adult forms when the syntactic context demands it, but otherwise they avoid doing so if the forms involve phonological alternations. The specific way that children satisfy OO-CORR constraints is to inflect forms so that the output is faithful to one specific slot of the paradigm, the base form. I show that children select the base form by considering both phonological informativeness and the availability of the surface forms, and try to achieve paradigm uniformity on the basis of the base form in their production. Assuming an initial bias to output-output correspondence constraints, I model the attested learning trajectories. The observed intermediate stages are correctly predicted, showing that the learning of certain alternations is facilitated when they share structural changes with other alternations. Artificial grammar learning experiments confirm that featural overlap of alternations facilitates the learning of the patterns. I propose a learning model that incorporates the attested learning biases.en_US
dc.description.statementofresponsibilityby Young Ah Do.en_US
dc.format.extent203 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectLinguistics and Philosophy.en_US
dc.titleBiased learning of phonological alternationsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Linguistics and Philosophy
dc.identifier.oclc868024936en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record