Leveraging Morphology for Historical Script Metrological Analysis
Researchers have developed a new deep learning architecture that uses morphological analysis to extract paleographic measurements from historical scripts. This transformer-based system can learn character prototypes from line-level transcriptions, enabling scalable and stable measurements for studying script variations. The method was demonstrated on a 14th-century French manuscript, showing its potential for paleographic analysis with limited training data. AI
IMPACT Enables new quantitative methods for historical document analysis and paleography.