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**OCRerrcr** is a small language model specialized for the detection of OCR error.
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OCRerrcr was trained by
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To date, OCRerrcr provide the most accurate agnostic OCR error rate estimate. PleIAs has also develop an alternative pipeline for this tasks, [OCRoscope](https://github.com/Pleias/OCRoscope), that scale significantly better but also significantly less accurate, especially for document with fewer mistakes.
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**OCRerrcr** is a small language model specialized for the detection of OCR error.
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OCRerrcr was trained by Eliot Jones for PleIAs on a sample of 1000 documents with labelled OCR errors from open data documents (Finance Commons) and cultural heritage sources (Common Corpus).
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To date, OCRerrcr provide the most accurate agnostic OCR error rate estimate. PleIAs has also develop an alternative pipeline for this tasks, [OCRoscope](https://github.com/Pleias/OCRoscope), that scale significantly better but also significantly less accurate, especially for document with fewer mistakes.
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