Post-Editing through Approximation and Global Correction

Authors

Kazem Taghva, University of Nevada, Las VegasFollow
Julie Borsack, University of Nevada, Las VegasFollow
Bryan Bullard, University of Nevada, Las VegasFollow
Allen Condit, University of Nevada, Las VegasFollow

Document Type

Article

Publication Date

12-1995

Publication Title

International Journal of Pattern Recognition and Artificial Intelligence

Volume

9

Issue

6

First page number:

911

Last page number:

923

Abstract

This paper describes a new automatic spelling correction program to deal with OCR generated errors. The method used here is based on three principles: 1. Approximate string matching between the misspellings and the terms occurring in the database as opposed to the entire dictionary 2. Local information obtained from the individual documents 3. The use of a confusion matrix, which contains information inherently specific to the nature of errors caused by the particular OCR device This system is then utilized to process approximately 10,000 pages of OCR generated documents. Among the misspellings discovered by this algorithm, about 87% were corrected.

Keywords

Confusion matrix; Optical character recognition

Disciplines

Electrical and Computer Engineering | Engineering

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Repository Citation

Taghva, K., Borsack, J., Bullard, B., Condit, A. (1995). Post-Editing through Approximation and Global Correction. International Journal of Pattern Recognition and Artificial Intelligence, 9(6), 911-923.