most citedGround Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

1 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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2 papers

cs.CL2022

Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0

Francesco De Toni, Christopher Akiki, Javier de la Rosa +4

In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods…

cs.CL2018★ 1 cited

Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

Uwe Springmann, Christian Reul, Stefanie Dipper +1

In this paper we describe a dataset of German and Latin \textit{ground truth} (GT) for historical OCR in the form of printed text line images paired with their transcription. This…