Neural Machine Translation with BERT for Post-OCR Error Detection and Correction

The quality of OCR has a direct impact on information access, and an indirect impact on the performance of natural language processing applications, making fine-grained (e.g., semantic) information access even harder. This work proposes a novel post-OCR approach based on a contextual language model ... View More