Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods
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چکیده
Depending on the quality of the original document, Optical Character Recognition (OCR) can produce a range of errors – from erroneous letters to additional and spurious blank spaces. We applied a sequence-to-sequence machine translation system to correct word-segmentation OCR errors in scientific texts from the ACL collection with an estimated precision and recall above 0.95 on test data. We present the correction process and results.
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تاریخ انتشار 2018