| dc.contributor.advisor | Chairperson, Graduate Committee: Gary Harkin | en |
| dc.contributor.author | Glassy, Louis Zoe | en |
| dc.date.accessioned | 2013-06-25T18:40:56Z | |
| dc.date.available | 2013-06-25T18:40:56Z | |
| dc.date.issued | 2004 | en |
| dc.identifier.uri | https://scholarworks.montana.edu/xmlui/handle/1/1340 | en |
| dc.description.abstract | Missing-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.language.iso | en | en |
| dc.publisher | Montana State University - Bozeman, College of Engineering | en |
| dc.subject.lcsh | Pattern perception | en |
| dc.subject.lcsh | Optical character recognition devices | en |
| dc.title | Missing text reconstruction | en |
| dc.type | Dissertation | en |
| dc.rights.holder | Copyright 2004 by Louis Zoe Glassy | en |
| thesis.catalog.ckey | 1149494 | en |
| thesis.degree.committeemembers | Members, Graduate Committee: J. Denbigh Starkey; John Paxton; Year Back Yoo | en |
| thesis.degree.department | Computer Science. | en |
| thesis.degree.genre | Dissertation | en |
| thesis.degree.name | PhD | en |
| thesis.format.extentfirstpage | 1 | en |
| thesis.format.extentlastpage | 96 | en |
