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Kaushik Gopalan

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#artificial intelligence Preprint Aug 2026

Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts

A local traditional OCR pipeline is introduced that can be iteratively fine-tuned on the target manuscript at the layout-level and the appearance-level, causing iterative reduction in human annotation effort, which is expensive and time-consuming as it requires historical domain expertise.

Kartik Chincholikar, Kaushik Gopalan, Mihir Hasabnis · 0 citations