05844880

a

05844880 Karnin, Ehud D. Walach, Eugene Drory, Tal Crowdsourcing in the document processing practice. (A short practitioner/visionary paper). Daniel, Florian (ed.) et al., Current trends in web engineering. 10th international conference on web engineering ICWE 2010 workshops, Vienna, Austria, July 2010. Revised selected papers. Berlin: Springer (ISBN 978-3-642-16984-7/pbk). Lecture Notes in Computer Science 6385, 408-411 (2010). 2010 Berlin: Springer EN Enterprise Crowdsourcing documents processing quality control productivity tools quality assurance

doi:10.1007/978-3-642-16985-4_36

Summary: The processing of scanned documents calls for automatic recognition of the text by OCR (Optical Character Recognition) computer programs, followed by human validation and correction. Crowdsourcing of these essential manual tasks is a good option, provided one can take care of some key challenges, so that the quality level expected by the customer is met. We show how tools for efficient validation and correction are adapted and enhanced to address issues associated with crowdsourcing, such as data privacy, quality control, crowd monitoring, and job quality assurance. We started to implement these ideas and technologies in our COoperative eNgine for Correction of ExtRacted Text (CONCERT), which is used in book digitization projects.