Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers

Autor: Raphaël Barman, Maud Ehrmann, Simon Clematide, Sofia Ares Oliveira, Frédéric Kaplan

Publikováno v: Journal of Data Mining and Digital Humanities, Vol HistoInformatics, Iss HistoInformatics (2021)

The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are mult

Externí odkaz: https://doaj.org/article/df4cc9494cf1464cb4aa9e29f2a87160

Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study

Autor: Philip Schofield, Joan Puigcerver Pérez, Markus Diem, Lauri Hirvonen, Tobias Hodel, Enrique Vidal, Hervé Déjean, Basilis Gatos, Tamara Terbul, Vicente Bosch, Konstantinos Zagoris, Mario Kallio, Florian Kleber, M. Bryan, Louise Seaward, Eva Lang, Alejandro Héctor Toselli, Vili Haukkovaara, Nathanael Philipp, Georgios Louloudis, Sören Laube, Sebastian Colutto, Tobias Strauß, Guenter Muehlberger, Christian Sieber, Johannes Michael, Matti Jokinen, Stefan Fiel, Albert Greinoecker, Hannelore Putz, George Retsinas, Herbert Wurster, Mauricio Villegas, Rory McNicholl, Nikolaos Stamatopoulos, Gundram Leifert, Frédéric Kaplan, Roger Labahn, Tobias Grüning, Gerhard Heyer, Joan Andreu Sánchez, Giorgos Sfikas, Elena Mühlbauer, Ioannis Pratikakis, Verónica Romero, Jean-Luc Meunier, Max Weidemann, Berthold Ulreich, Philip Kahle, Sofia Ares Oliveira, Guenter Hackl, Robert Sablatnig, Johanna Walcher, Melissa Terras

Publikováno v: Muehlberger, Guenter; Seaward, Louise; Terras, Melissa; Ares Oliveira, Sofia; Bosch, Vicente; Bryan, Maximilian; Colutto, Sebastian; Déjean, Hervé; Diem, Markus; Fiel, Stefan; Gatos, Basilis; Greinoecker, Albert; Grüning, Tobias; Hackl, Guenter; Haukkovaara, Vili; Heyer, Gerhard; Hirvonen, Lauri; Hodel, Tobias; Jokinen, Matti; Kahle, Philip; ... (2019). Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study. Journal of documentation, 75(5), pp. 954-976. Emerald 10.1108/jd-07-2018-0114
Seaward, L, Terras, M, Muehlberger, G, Ares Oliveira, S, Vicente, B, Colutto, S, Déjean, H, Diem, M, Fiel, S, Gatos, B, Grüning, T, Greinoecker, A, Hackl, G, Haukkovaara, V, Heyer, G, Hirvonen, L, Hodel, T, Jokinen, M, Jokinen, P, Kallio, M, Kaplan, F, Kleber, F, Labahn, R, Lang, E M, Laube, S, Leifert, G, Louloudis, G, McNicholl, R, Meunier, J-L, Mühlbauer, E, Philipp, N, Pratikakis, I, Puigcerver Pérez, J, Putz, H, Retsinas, G, Romero, V, Sablatnig, R, Sánchez, J A, Schofield, P, Sfikas, G, Sieber, C, Stamatopoulos, N, Strauss, T, Terbul, T, Toselli, A H, Ulreich, B, Villega, M, Vidal, E, Walcher, J, Weidemann, M, Wurster, H, Zagoris, K, Bryan, M & Michael, J 2019, ' Transforming scholarship in the archives through handwritten text recognition : Transkribus as a case study ', Journal of Documentation, vol. 75, no. 5, pp. 954-976 . https://doi.org/10.1108/JD-07-2018-0114

Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12dc00900b7e878be4e4cb9861629300
https://boris.unibe.ch/137985/1/10-1108_JD-07-2018-0114.pdf