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dc.contributor.advisorChairperson, Graduate Committee: Gary Harkinen
dc.contributor.authorGlassy, Louis Zoeen
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.publisherMontana State University - Bozeman, College of Engineeringen
dc.subject.lcshPattern perceptionen
dc.subject.lcshOptical character recognition devicesen
dc.titleMissing text reconstructionen
dc.rights.holderCopyright 2004 by Louis Zoe Glassyen
thesis.catalog.ckey1149494en, Graduate Committee: J. Denbigh Starkey; John Paxton; Year Back Yooen Science.en

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