OcrV1, PascalFrancis, Corpus, bibRecord, 000B11

The effects of noisy data on text retrieval

Identifieur interne : 000B11 ( PascalFrancis/Corpus ); précédent : 000B10; suivant : 000B12

The effects of noisy data on text retrieval

Auteurs : K. Taghva ; 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.

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

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 94-0122993 INIST
ET :	The effects of noisy data on text retrieval
AU :	TAGHVA (K.); BORSACK (J.); CONDIT (A.); ERVA (S.)
AF :	Univ. Nevada, informationsci. res. inst./Las Vegas NV 89154-0421/Etats-Unis
DT :	Publication en série; Niveau analytique
SO :	Journal of the American Society for Information Science; ISSN 0002-8231; Coden AISJB6; Etats-Unis; Da. 1994; Vol. 45; No. 1; Pp. 50-58; Bibl. 19 ref.
LA :	Anglais
EA :	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
CC :	001A01E02B; 205
FD :	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
ED :	Technology; Digitizing; Character recognition; Document retrieval; Performance evaluation; Printed document; Information conversion; Image copy; ASCII code; System performance; Error correction; Automatic correction; Device; Text; Electronic document management system; Information retrieval software; Experimental result; Combined treatment; Application
GD :	Digitalisierung; Fehlekorrektur; Anwendung
SD :	Tecnología; Numerización; Reconocimiento carácter; Recuperación documental; Evaluación prestación; Documento impreso; Conversión información; Copia imagen; Código ASCII; Eficacia sistema; Corrección error; Corrección automática; Dispositivo; Texto; Sistema gestíon electrónica documento; Logicial documental; Resultado experimental; Tratamiento asociado; Aplicación
LO :	INIST-6025.354000024674140060
ID :	94-0122993

Links to Exploration step

Pascal:94-0122993

Le document en format XML

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<server><NO>PASCAL 94-0122993 INIST</NO>
<ET>The effects of noisy data on text retrieval</ET>
<AU>TAGHVA (K.); BORSACK (J.); CONDIT (A.); ERVA (S.)</AU>
<AF>Univ. Nevada, informationsci. res. inst./Las Vegas NV 89154-0421/Etats-Unis</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of the American Society for Information Science; ISSN 0002-8231; Coden AISJB6; Etats-Unis; Da. 1994; Vol. 45; No. 1; Pp. 50-58; Bibl. 19 ref.</SO>
<LA>Anglais</LA>
<EA>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</EA>
<CC>001A01E02B; 205</CC>
<FD>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</FD>
<ED>Technology; Digitizing; Character recognition; Document retrieval; Performance evaluation; Printed document; Information conversion; Image copy; ASCII code; System performance; Error correction; Automatic correction; Device; Text; Electronic document management system; Information retrieval software; Experimental result; Combined treatment; Application</ED>
<GD>Digitalisierung; Fehlekorrektur; Anwendung</GD>
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<LO>INIST-6025.354000024674140060</LO>
<ID>94-0122993</ID>
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The effects of noisy data on text retrieval

The effects of noisy data on text retrieval

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