In the first place, automated OCR is unsatisfactory; then, we find also that building an entirely automated post-processing system, although it improves the text, still leaves far too much error.
incorporating a moderate investment of annotator time during post-processing leaves an acceptable token error rate below 1.5% in this low-resource setting.