Handling Heavily Abbreviated Manuscripts: HTR Engines vs Text Normalisation Approaches
Jean-Baptiste Camps|Chahan Vidal-Gorène|Marguerite Vernet
Although abbreviations are fairly common in handwritten sources, particularly medieval and modern Western manuscripts, previous research dealing with computational approaches to their expansion is scarce. Yet present particular challenges such as text recognition natural language processing tasks. Often, pre-processing ultimately aims lead from a digitised image of the source normalised text, which includes abbreviations. We explore different setups obtain either directly, by training HTR engines on (i.e., expanded, disabbreviated) or decomposing process into discrete steps, each making use specialist models for recognition, word segmentation normalisation. The case studies considered here drawn Latin tradition.
Lecture Notes in Computer Science|HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)|arXiv (Cornell University)