Missing text reconstruction

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dc.contributor.advisorChairperson, Graduate Committee: Gary Harkinen
dc.contributor.authorGlassy, Louis Zoeen
dc.date.accessioned2013-06-25T18:40:56Z
dc.date.available2013-06-25T18:40:56Z
dc.date.issued2004en
dc.description.abstractMissing-text reconstruction (MTR) is a new application of text-oriented pattern recognition. The goal of MTR is to reconstruct documents in which fragments of original text are missing. Using n-gram models of the document's source language, the MTR algorithm makes sets of hypotheses of the missing text, and combines these sets with a probability combining rule to form the best supported reconstruction of the missing text. A prototype software system (mitre) was developed as a proof-of-concept for the MTR techniques discussed.en
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/1340en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.rights.holderCopyright 2004 by Louis Zoe Glassyen
dc.subject.lcshPattern perceptionen
dc.subject.lcshOptical character recognition devicesen
dc.titleMissing text reconstructionen
dc.typeDissertationen
thesis.catalog.ckey1149494en
thesis.degree.committeemembersMembers, Graduate Committee: J. Denbigh Starkey; John Paxton; Year Back Yooen
thesis.degree.departmentComputer Science.en
thesis.degree.genreDissertationen
thesis.degree.namePhDen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage96en

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