OCRSpell: an interactive spelling correction system for OCR errors in text
Identifieur interne : 001B96 ( Main/Exploration ); précédent : 001B95; suivant : 001B97OCRSpell: an interactive spelling correction system for OCR errors in text
Auteurs : Kazem Taghva [États-Unis] ; Eric Stofsky [États-Unis]Source :
- International journal on document analysis and recognition : (Print) [ 1433-2833 ] ; 2001.
Descripteurs français
- Pascal (Inist)
- Reconnaissance caractère, Assistance orthographique, Système conversationnel, Didacticiel, Apprentissage(intelligence artificielle), Estimation Bayes, Analyse statistique, Texte, Multiplicité, Recherche information, Correction erreur, Balayage, Reconnaissance optique caractère, Système correction orthographe.
- Wicri :
- topic : Didacticiel.
English descriptors
- KwdEn :
Abstract
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.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000725
- to stream PascalFrancis, to step Curation: 000068
- to stream PascalFrancis, to step Checkpoint: 000665
- to stream Main, to step Merge: 001C92
- to stream Main, to step Curation: 001B96
Le document en format XML
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<term>Information retrieval</term>
<term>Interactive system</term>
<term>Learning (artificial intelligence)</term>
<term>Multiplicity</term>
<term>Optical character recognition</term>
<term>Scanning</term>
<term>Spelling aids</term>
<term>Statistical analysis</term>
<term>Text</term>
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<term>Assistance orthographique</term>
<term>Système conversationnel</term>
<term>Didacticiel</term>
<term>Apprentissage(intelligence artificielle)</term>
<term>Estimation Bayes</term>
<term>Analyse statistique</term>
<term>Texte</term>
<term>Multiplicité</term>
<term>Recherche information</term>
<term>Correction erreur</term>
<term>Balayage</term>
<term>Reconnaissance optique caractère</term>
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<front><div type="abstract" xml:lang="en">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.</div>
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