Researchers have developed an iterative fine-tuning approach for optical character recognition (OCR) to improve the digitization of complex historical Sanskrit manuscripts. This method adapts to manuscript-specific layouts and appearances, reducing the need for extensive manual annotation. The study also benchmarks the performance of Multi-Modal Large Language Models on a newly created dataset for this task. AI
IMPACT This research could enable more accurate and efficient digitization of historical texts, making them more accessible for scholarly study.
RANK_REASON The cluster describes an academic paper detailing a new method for OCR applied to historical manuscripts.
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- Hugging Face
- Multi-Modal Large Language Models
- optical character recognition
- PAGE-XML
- Sanskrit
- arXiv
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