CREMMA Medii Aevi: Literary Manuscript Text Recognition in Latin
Thibault Clérice|Malamatenia Vlachou-Efstathiou|Alix Chagué
This paper presents a novel segmentation and handwritten text recognition dataset for Medieval Latin from the 11th to 16th century. It connects with French datasets, as well earlier by enforcing common guidelines, bringing 263,000 new characters now totaling over million medieval manuscripts in both languages. We provide our own addition Ariane Pinche’s Old guidelines deal specific cases. also offer an overview of how we addressed this compilation through use pre-existing resources. With higher abbreviation ratio better representation abbreviating marks, models that outperform base model on improving accuracy 5% unknown manuscripts.
Journal of open humanities data|HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)