Handwritten Text Recognition model for 16th to 18th century German.
Part of the developments at the
Digital Humanities@University of Bern.
Developed by Jonas Widmer, Anna Funk, Christa Schneider, and Tobias Hodel.
This model is based on an extensive training set (of roughly 1579200 words) and evaluated against the same hands in an evaluation and test set (automatic split).
Consisting of German Kurrent scripts written in the 16th-18th century.
The ground truth stems from different projects and partners and is biased toward Swiss documents.
It is based on documents from a variety of archives and projects.
Among others, the State Archives of Zürich (Stillstandsprotokolle, Ratsmanuale, Findmittel), and the scholarly edition project Königsfelden (Universitäten Zürich und Bern:
www.koenigsfelden.uzh.ch).
As well as transcriptions from Einsiedeln.
Further contributions by the university archives of Greifswald:
https://rechtsprechung-im-ostseeraum.archiv.uni-greifswald.de/.
The public Transkribus model (based on PyLaia) can be found here:
https://readcoop.eu/model/german-kurrent-16th-18th/Extensive testing of the model has still to be carried out.
This is only a first attempt but might help for fine-tuning tasks.
