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

ICDAR 2019 Competition on Table Detection and Recognition (cTDaR)

Autor: Liangcai Gao, Yilun Huang, Yu Fang, Jean-Luc Meunier, Florian Kleber, Eva Lang, Hervé Déjean, Yan Qinqin

Publikováno v: ICDAR

The cTDaR competition aims at benchmarking state-of-the-art table detection (TRACK A) and table recognition (TRACK B) methods. In particular, we wish to investigate and compare general methods that can reliably and robustly identify the table regions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e8eaf505de617abee2e631edf087676
https://doi.org/10.1109/icdar.2019.00243

Comparing Machine Learning Approaches for Table Recognition in Historical Register Books

Autor: Florian Kleber, Hervé Déjean, Stephane Clinchant, Eva Lang, Jean-Luc Meunier

Publikováno v: DAS

We present in this paper experiments on Table Recognition in hand-written registry books. We first explain how the problem of row and column detection is modeled, and then compare two Machine Learning approaches (Conditional Random Field and Graph Co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9cf7feba73584fcb33c13061944ee6b

On tables of contents and how to recognize them

Autor: Jean-Luc Meunier, Hervé Déjean

Publikováno v: International Journal of Document Analysis and Recognition (IJDAR). 12:1-20

We present a method for structuring a document according to the information present in its different organizational tables: table of contents, tables of figures, etc. This method is based on a two-step approach that leverages functional and formal (l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18cea29516c089d96516b70471f47091
https://doi.org/10.1007/s10032-009-0078-8

Automatic processing of multilingual medical terminology: applications to thesaurus enrichment and cross-language information retrieval

Autor: Jean-Michel Renders, Eric Gaussier, Hervé Déjean, Fatiha Sadat

Publikováno v: Artificial Intelligence in Medicine. 33:111-124

Objectives:: We present in this article experiments on multi-language information extraction and access in the medical domain. For such applications, multilingual terminology plays a crucial role when working on specialized languages and specific dom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78b5ae14e1160aad211f822455ae0ae
https://doi.org/10.1016/j.artmed.2004.07.015