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Document correction

  • Especially needed for OCR’ed documents

    • Correction algorithms are tuned for this: rn/m

    • Can use domain-specific knowledge

      • E.g., OCR can confuse O and D more often than it would confuse O and I (adjacent on the QWERTY keyboard, so more likely interchanged in typing).

  • But also: web pages and even printed material have typos

  • Goal: the dictionary contains fewer misspellings

  • But often we don’t change the documents and instead fix the query-document mapping


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