Author

Yan Hon Michael Chung

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#machine learning Preprint Sep 2026

Combining Synthetic and Real Data for Low-Resource Historical OCR: A Manchu Case Study

This study examines how synthetic and real historical training data should be combined for low-resource OCR, and finds that joint and sequential training yield broadly similar archival accuracy under the tested practical pipelines.

Yan Hon Michael Chung, Han-Lin Wang · 0 citations