no code implementations • LT4HALA (LREC) 2022 • Lukas Fischer, Patricia Scheurer, Raphael Schwitter, Martin Volk
This paper outlines our work in collecting training data for and developing a Latin–German Neural Machine Translation (NMT) system, for translating 16th century letters.
no code implementations • LREC 2022 • Martin Volk, Lukas Fischer, Patricia Scheurer, Bernard Silvan Schroffenegger, Raphael Schwitter, Phillip Ströbel, Benjamin Suter
This paper is based on a collection of 16th century letters from and to the Zurich reformer Heinrich Bullinger.
1 code implementation • LREC 2022 • Phillip Benjamin Ströbel, Simon Clematide, Martin Volk, Raphael Schwitter, Tobias Hodel, David Schoch
The evaluation of Handwritten Text Recognition (HTR) models during their development is straightforward: because HTR is a supervised problem, the usual data split into training, validation, and test data sets allows the evaluation of models in terms of accuracy or error rates.