OcrV1, PascalFrancis, Checkpoint, bibRecord, 000A49

The effects of noisy data on text retrieval

Identifieur interne : 000A49 ( PascalFrancis/Checkpoint ); précédent : 000A48; suivant : 000A50

The effects of noisy data on text retrieval

Auteurs : K. Taghva [États-Unis] ; J. Borsack ; A. Condit ; S. Erva

Source :

Journal of the American Society for Information Science [ 0002-8231 ] ; 1994.

RBID : Pascal:94-0122993

Descripteurs français

Pascal (Inist)
- Technologie, Numérisation, Reconnaissance caractère, Recherche documentaire, Evaluation performance, Document imprimé, Conversion information, Copie image, Code ASCII, Performance système, Correction erreur, Correction automatique, Dispositif, Texte, Système gestion électronique document, Logiciel documentaire, Résultat expérimental, Traitement associé, Application, BASISplus.
Wicri :
- topic : Technologie, Numérisation, Recherche documentaire.

English descriptors

KwdEn :
- ASCII code, Application, Automatic correction, Character recognition, Combined treatment, Device, Digitizing, Document retrieval, Electronic document management system, Error correction, Experimental result, Image copy, Information conversion, Information retrieval software, Performance evaluation, Printed document, System performance, Technology, Text.

Abstract

We report on the results of our experiments on query evaluation in the presence of noisy data. In particular, an OCR-generated database and its corresponding 99.8% correct version are used to process a set of queries to determine the effect the degraded version will have on retrieval. It is shown that, with the set of scientific documents we use in our testing, the effect is insignificant. We further improve the result by applying an automatic postprocessing system designed to correct the kinds of errors generated by recognition devices

Affiliations:

États-Unis

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Pascal:94-0122993

Le document en format XML

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The effects of noisy data on text retrieval

The effects of noisy data on text retrieval

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

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