Tesseract

We present a generative probabilistic model, inspired by historical printing pro- cesses, for transcribing images of docu- ments from the printing press era. By jointly modeling the text of the …...

AbstractParliamentary debates represent a large and partly unexploited treasure trove of publicly accessible texts. In the German-speaking area, there is a certain deficit of uniformly accessible and annotated corpora covering …...