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dc.contributor.advisorStephanie Seneff, Helen Meng.en_US
dc.contributor.authorParmar, Aarati D. (Aarati Dinesh)en_US
dc.date.accessioned2008-11-07T20:04:11Z
dc.date.available2008-11-07T20:04:11Z
dc.date.copyright1997en_US
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/43485
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.en_US
dc.descriptionIncludes bibliographical references (p. 115-116).en_US
dc.description.statementofresponsibilityby Aarati D. Parmar.en_US
dc.format.extent116 p.en_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.subjectElectrical Engineering and Computer Scienceen_US
dc.titleA semic-automatic system for the syllabification and stress assignment of large lexiconsen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc38135934en_US


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