Historical Document OCR
Taylor and Suchin discuss the challenges of extracting text from historical documents due to issues like bleeding ink and poor quality scans. They explore the limitations of traditional OCR models and the need for specialized machine learning solutions tailored to historical document analysis.In this clip
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NLP Highlights
97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick
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