Automation of PostOCR error correction in the digitization of historical texts [Articol]

Abstract

Processing texts from distant historical periods, especially those handwritten in languages with low computational resources, presents significant challenges. Even if modern methods make it possible to achieve, after laborious machine learning procedures, a fairly good rate of correct character recognition, the problem of the correctness of the resulting editable text remains a topical one. This paper presents an approach that contributes to the automation of the PostOCR proofreading process based on the presentation of digitized text using historical fonts, similar to those in the original document.