Measuring mass text digitization quality and usefulness: Lessons learned from assessing the OCR accuracy of the British Library's 19th century online newspaper archive

D-Lib Magazine

Volumn 15, Issue 7-8, 2009, Pages

  Tanner, Simon ^a   Muñoz, Trevor ^a   Ros, Pich Hemy ^b  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b Digital Divide Data ^*  (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77950651836     PISSN: None     EISSN: 10829873     Source Type: Journal    
DOI: 10.1045/july2009-munoz     Document Type: Article

References (7)

1. Schantz, Herbert F. The History of OCR, Optical Character Recognition. Manchester Center, Vt.: Recognition Technologies Users Association, 1982.
2. IMPACT project. .
3. Holley, Rose. "How Good Can It Get?: Analysing and Improving OCR Accuracy in Large Scale Historic Newspaper Digitisation Programs." D-Lib Magazine. March/April 2009, vol. 15 no 3/4. .
4. 19th Century British Library Newspapers Database. .
5. King's Digital Consultancy Services (KDCS) provides research and consulting services. Specializing in the information and digital domains our services are used by cultural, heritage and information professionals along with corporate clients. This venture is led by its Director, Simon Tanner, and is based within the Centre for Computing in the Humanities (CCH) at King's College London. .
6. Digital Divide Data (DDD) bridges the divide that separates young people from opportunity by providing disadvantaged youth in Cambodia and Laos with the education and training they need to deliver world-class, competitively priced IT services to global clients and acquire essential business management skills. .
7. A demonstration of the Levenshtein Edit Distance algorithm can be found at: .