dh-unibe

TrOCR Kurrent-Model 19th century Handwritten Text Recognition model for 19th century German. Part of the developments at the Digital Humanities@University of Bern. Developed by Jonas Widmer and Tobias Hodel in conjunction with researchers and institutions mentioned below. Train Lines: 292'997 Eval Lines: 7'513 Test Lines: 15'817 Epochs: 19.66 / 20 Eval CER: 0.02827 Test CER: 0.02655 Finetuned on Kurrent-dataset, containing: - Material from the State Archives of Zurich ("Regierungsratsprotokolle"), provided by the State Archives of Zurich - Lecture notes of Humboldt Lectures, provided by the Berlin-Brandenburgian Academy of Sciences - Diary of Eugen Huber, provided by the University of Zurich - Handwriting and Copies by and of Gottfried Semper (provided by the respective research project at ETH Zürich and USI Mendrisio) - Konzilsprotokolle, University of Greifswald (19th century) - as well as many other smaller collections/examples The model has not been extensively tested. Potential biases are still to be identified.