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Journal articles
Transcription automatique et segmentation thématique de livres d’heures manuscrits
Transcription automatique et segmentation thématique de livres d’heures manuscrits
Abstract : Books of Hours are the number one best seller of the Middle Ages, with more than 10 000 copies preserved. They are a crucial witness to the medieval mindset, but their textual contents have been very scarcely studied. They are very long and offer a complex hierarchical entangled structure, with several characteristics specific to medieval daily Prières office. This paper presents the methods and processing applied to books of hours: handwritten text recognition and text segmentation adapted to medieval manuscripts. We propose a weak supervised approach, based on the overarching structure of the manuscripts, that provides the first state-of-the-art results on transcript texts and despite remaining errors for this new challenging task.
http://hal.univ-nantes.fr/hal-02430291
Contributor : Béatrice Daille Connect in order to contact the contributor
Submitted on : Tuesday, January 7, 2020 - 11:22:23 AM
Last modification on : Wednesday, October 13, 2021 - 3:52:06 PM
Contributor : Béatrice Daille Connect in order to contact the contributor
Submitted on : Tuesday, January 7, 2020 - 11:22:23 AM
Last modification on : Wednesday, October 13, 2021 - 3:52:06 PM