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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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