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User-driven correction of OCR errors: combing crowdsourcing and information retrieval technology.
Günter Mühlberger
Johannes Zelger
David Sagmeister
Published in:
DATeCH (2014)
Keyphrases
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user driven
information retrieval
error correction
error detection
end users
recognition errors
search engine
case study
information retrieval systems
optical character recognition
information extraction
document images
cost effective
rapid development
knowledge base
character recognition