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jvdzwaan avatar jvdzwaan commented on June 26, 2024

The task ochre performs is a supervised machine learning task. So, without gold standard, you can't create aligned data or train a (supervised) model.

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USTCHJY avatar USTCHJY commented on June 26, 2024

Sorry,maybe I expressed not clearly.
I mean after supervised training(for training data,we must have gold standard),how can I use this trained ochre model for actual OCR post-correction tasks? Because for actual tasks,we usually don't have gold standard and desire to get corrected text which similiar to the gold standard. On this occasion,how can I get OCR_aligned from the raw OCR_input of the actual tasks?
Thanks!

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jvdzwaan avatar jvdzwaan commented on June 26, 2024

The README specifies how to use a trained model to do post correction: https://github.com/KBNLresearch/ochre#ocr-post-correction

If you want to calculate performance for this text, you'd still need to have ground truth/gold standard.

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