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Author Resnik, Philip ♦ Zheng, Qigong ♦ Kim, Doe-Wan ♦ Kanungo, Tapas ♦ Mao, Song
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract The Bible---an unlikely resource for language technology research---proves ideal for evaluating OCR techniques.
Description Affiliation: LG Electronics, Seoul, Korea (Kim, Doe-Wan) || IBM Almaden Research Center, San Jose, CA (Kanungo, Tapas) || Lucent Technologies, Westford, MA (Zheng, Qigong) || National Library of Medicine, Bethesda, MD (Mao, Song) || University of Maryland, College Park, MD (Resnik, Philip)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 48
Issue Number 6
Page Count 7
Starting Page 124
Ending Page 130

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Source: ACM Digital Library