Papers › A Two-Step Approach for Automatic OCR Post-Correction

A Two-Step Approach for Automatic OCR Post-Correction

1 Dec 2020COLING (LaTeCHCLfL, CLFL, LaTeCH) 2020 12archive 2025-07-28

Robin Schaefer, Clemens Neudecker

The quality of Optical Character Recognition (OCR) is a key factor in the digitisation of historical documents. OCR errors are a major obstacle for downstream tasks and have hindered advances in the usage of the digitised documents. In this paper we present a two-step approach to automatic OCR post-correction. The first component is responsible for detecting erroneous sequences in a set of OCRed texts, while the second is designed for correcting OCR errors in them. We show that applying the preceding detection model reduces both the character error rate (CER) compared to a simple one-step correction model and the amount of falsely changed correct characters.

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Optical Character RecognitionOptical Character Recognition (OCR)Vocal Bursts Valence Prediction

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