OCR error detection and post-correction with Word2vec and BERTje on Dutch historical data ...

A high quality of OCR-output (Optical Character Recognition) has many benefits. Documents become more accessible to readers and NLP tasks can thrive on the data. However, for many reasons, such as the condition of the documents, the OCR-output of historical documents suffers from a significant amount of errors. This study focuses on detecting and correcting these errors after the OCR process has taken place. It has a focus on Dutch historical data. A comparison will be made between the performance of two methods often used for this over the last few years: word2vec and BERT. While BERT has bee... Mehr ...