Unsupervised OCR Model
Taylor explains the intricacies of an unsupervised OCR model, likening it to speech processing. By incorporating prior knowledge into the emission model, the system can effectively handle elements like inking and baselines, enhancing its decipherment capabilities.In this clip
From this podcast

NLP Highlights
97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick
Related Questions