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- W3037091812 abstract "We present initial experiments to evaluate the performance of tasks such as Part of Speech Tagging on data corrupted by Optical Character Recognition (OCR). Our results, based on English and German data, using artificial experiments as well as initial real OCRed data indicate that already a small drop in OCR quality considerably increases the error rates, which would have a significant impact on subsequent processing steps." @default.
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- W3037091812 date "2019-08-01" @default.
- W3037091812 modified "2023-09-26" @default.
- W3037091812 title "OCR Quality and NLP Preprocessing" @default.
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