OCRSpell: An interactive spelling correction system for OCR errors in text

被引：32

作者：

Taghva K. ^{[1
]}

Stofsky E. ^{[1
]}

机构：

[1] Information Science Research Institute, University of Nevada, Las Vegas, Las Vegas

来源：

International Journal on Document Analysis and Recognition | 2001年 / Springer Verlag卷 / 03期

关键词：

Error correction; Information retrieval; OCR-Spell checkers; Scanning;

D O I：

10.1007/PL00013558

中图分类号：

学科分类号：

摘要：

In this paper, we describe a spelling correction system designed specifically for OCR-generated text that selects candidate words through the use of information gathered from multiple knowledge sources. This system for text correction is based on static and dynamic device mappings, approximate string matching, and n-gram analysis. Our statistically based, Bayesian system incorporates a learning feature that collects confusion information at the collection and document levels. An evaluation of the new system is presented as well. © 2001 Springer-Verlag Berlin Heidelberg.

引用

页码：125 / 137

页数：12

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