TY - CHAP U1 - Buchbeitrag A1 - Klaus, Carsten A1 - Fankhauser, Peter A1 - Klakow, Dietrich ED - Sahle, Patrick T1 - OCR Nachkorrektur des Royal Society Corpus T2 - DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts. 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V., Frankfurt am Main, Mainz, 25.3.2019 – 29.3.2019 N2 - We present an approach for automatic detection and correction of OCR-induced misspellings in historical texts. The main objective is the post-correction of the digitized Royal Society Corpus, a set of historical documents from 1665 to 1869. Due to the aged material the OCR procedure has made mistakes, thus leading to files corrupted by thousands of misspellings. This motivates a post processing step. The current correction technique is a pattern-based approach which due to its lack of generalization suffers from bad recall. To generalize from the patterns we propose to use the noisy channel model. From the pattern based substitutions we train a corpus specific error model complemented with a language model. With an F1-Score of 0.61 the presented technique significantly outperforms the pattern based approach which has an F1-score of 0.28. Due to its more accurate error model it also outperforms other implementations of the noisy channel model. KW - OCR-Schrift KW - Korrektur KW - Automatische Sprachverarbeitung KW - Digital Humanities Y1 - 2019 UN - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-85353 UR - https://zenodo.org/record/2596095#.XKx0hqTgqUk U6 - https://doi.org/10.5281/zenodo.2596095 DO - https://doi.org/10.5281/zenodo.2596095 SP - 337 EP - 339 PB - Zenodo CY - Frankfurt am Main ER -