Automated Error Detection in Digitized Cultural Heritage Documents
Kata Gábor, Benoît Sagot · 2014
The work reported in this paper aims at performance optimization in the digitization of documents pertaining to the cultural heritage domain.A hybrid method is proposed, combining statistical classification algorithms and linguistic knowledge to automatize post-OCR error detection and correction.The current paper deals with the integration of linguistic modules and their impact on error detection.