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license: apache-2.0
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library_name: transformers
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## Model Details
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This model represents the first version of an experimental sequence-to-sequence architecture designed specifically for the Italian language. It aims to correct approximately 93% of the errors generated by low-quality Optical Character Recognition (OCR) systems, which tend to perform poorly on Italian text. By taking raw, OCR-scanned text as input, the model outputs the corrected version of the text, significantly reducing errors and improving readability and accuracy.
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license: apache-2.0
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library_name: transformers
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# Italian OCR Error Correction Sequence-to-Sequence Model
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## Model Details
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This model represents the first version of an experimental sequence-to-sequence architecture designed specifically for the Italian language. It aims to correct approximately 93% of the errors generated by low-quality Optical Character Recognition (OCR) systems, which tend to perform poorly on Italian text. By taking raw, OCR-scanned text as input, the model outputs the corrected version of the text, significantly reducing errors and improving readability and accuracy.
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