Word-based correction for retrieval of arabic OCR degraded documents
Identifieur interne :
000461 ( PascalFrancis/Curation );
précédent :
000460;
suivant :
000462
Word-based correction for retrieval of arabic OCR degraded documents
Auteurs : Walid Magdy [
Égypte] ;
Kareem Darwish [
Égypte]
Source :
-
Lecture notes in computer science [ 0302-9743 ] ; 2006.
RBID : Pascal:07-0453873
Descripteurs français
English descriptors
Abstract
Arabic documents that are available only in print continue to be ubiquitous and they can be scanned and subsequently OCR'ed to ease their retrieval. This paper explores the effect of word-based OCR correction on the effectiveness of retrieving Arabic OCR documents using different index terms. The OCR correction uses an improved character segment based noisy channel model and is tested on real and synthetic OCR degradation. Results show that the effect of OCR correction depends on the length of the index term used and that indexing using short n-grams is perhaps superior to word-based error correction. The results are potentially applicable to other languages.
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| C01 | 01 | | ENG | @0 Arabic documents that are available only in print continue to be ubiquitous and they can be scanned and subsequently OCR'ed to ease their retrieval. This paper explores the effect of word-based OCR correction on the effectiveness of retrieving Arabic OCR documents using different index terms. The OCR correction uses an improved character segment based noisy channel model and is tested on real and synthetic OCR degradation. Results show that the effect of OCR correction depends on the length of the index term used and that indexing using short n-grams is perhaps superior to word-based error correction. The results are potentially applicable to other languages. |
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| A30 | 01 | 1 | ENG | @1 International Conference on String Processing and Information Retrieval @2 13 @3 Glasgow GBR @4 2006 |
|---|
|
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Le document en format XML
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