Papers by Mitch Marcus

1 papers
Low-resource Post Processing of Noisy OCR Output for Historical Corpus Digitisation (L18-1)

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Challenge: 7.6% of the words in the original OCR text contain an error; fully manual correction would take thousands of hours due to the size of the corpus.
Approach: They propose a post-processing system to efficiently correct OCR errors in a 2.7 million word Faroese corpus.
Outcome: The proposed method reduces the word error rate to 1.3% with around 65 hours of human annotator work.

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