Medieval Manuscript

Medieval manuscript research utilizes computational methods to analyze and interpret these historical documents, focusing on tasks like dating, scribe identification, and text transcription. Current research employs machine learning models, including convolutional neural networks (CNNs) for image analysis (e.g., identifying scribes or paper characteristics) and support vector machines/gradient boosting for text classification (e.g., dating or location). These techniques improve efficiency in tasks like annotation and text normalization, offering valuable tools for paleographers and historians while also contributing to the development of robust historical text processing methods. The resulting datasets and open-source models facilitate broader access to and analysis of these invaluable historical resources.