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pro vyhledávání: '"Ströbel, Phillip"'
We apply the TrOCR framework to real-world, historical manuscripts and show that TrOCR per se is a strong model, ideal for transfer learning. TrOCR has been trained on English only, but it can adapt to other languages that use the Latin alphabet fair
Externí odkaz:
http://arxiv.org/abs/2203.11008
Autor:
Ströbel, Phillip Benjamin, Clematide, Simon, Volk, Martin, Schwitter, Raphael, Hodel, Tobias, Schoch, David
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
Externí odkaz:
http://arxiv.org/abs/2201.06170
Akademický článek
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Autor:
Ströbel, Phillip, Hodel, Tobias, Fischer, Andreas, Scius-Bertrand, Anna, Wolf, Beat, Janka, Anna, Widmer, Jonas, Scheurer, Patricia, Volk, Martin
Publikováno v:
Ströbel, Phillip; Hodel, Tobias; Fischer, Andreas; Scius, Anna; Wolf, Beat; Janka, Anna; Widmer, Jonas; Scheurer, Patricia; Volk, Martin (2023). Bullingers Briefwechsel zugänglich machen: Stand der Handschriftenerkennung. In: Trilcke, Peer; Busch, Anna; Helling, Patrick (eds.) DHd 2023 Open Humanities Open Culture. 9. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" (DHd 2023). Zenodo 10.5281/zenodo.7715357
"Anhand des Briefwechsels Heinrich Bullingers (1504-1575), das rund 10'000 Briefe umfasst, demonstrieren wir den Stand der Forschung in automatisierter Handschriftenerkennung. Es finden sich mehr als hundert unterschiedliche Schreiberhände in den Br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d0c82a93df6712a5f890dc74b586c78
Autor:
Ströbel, Phillip Benjamin, Fischer, Andreas, Ficher, Lukas, Hodel, Tobias, Müller, Raphael, Scheurer, Patricia, Schroffenegger, Bernard, Schwitter, Raphael, Scius-Bertrand, Anna, Volk, Martin
Heinrich Bullinger (1504-1575) was an important multiplier of the ideas of the Reformation in Switzerland and Europe, as evidenced by his correspondence of 12,000 letters. 3,100 letters had already been manually transcribed, edited, and published in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5697f252d232428b87194c90ec212b12
We apply the TrOCR framework to real-world, historical manuscripts and show that TrOCR per se is a strong model, ideal for transfer learning. TrOCR has been trained on English only, but it can adapt to other languages that use the Latin alphabet fair
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe91d14f52edeb2d3ac8b60e51cd14d
https://www.zora.uzh.ch/id/eprint/233140/
https://www.zora.uzh.ch/id/eprint/233140/
Autor:
Bockelmann, Aiko J., Latif, Umair M., Reutlinger, Kristina, Mercan, Sercan, Klein, Lukas, Kopp, Waltraud, Kellner, Christina, Schmidt, Geske E., Conrads, Karly, Salinas, Gabriela, Hamdan, Feda, Johnson, Steven A., Brunner, Marius, Bohnenberger, Hanibal, Bastians, Holger, Ströbel, Phillip, Hessmann, Elisabeth, Ellenrieder, Volker
Publikováno v:
In Pancreatology 5 November 2023 23 Supplement 1:e151-e152