Discusses a digital teaching application that approaches the study of language
and literary works from a social semiotic perspective and represents an
innovative pedagogical model for world language and literature classes.
Springmann and Lüdeling describe the results of a case study that applies Neural
Network-based Optical Character Recognition (OCR) to scanned images of books
printed between 1487 and 1870 by training the OCR engine OCRopus on the RIDGES
herbal text corpus.