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This paper reports on an application of LanguageModeling techniques to the retrieval of Farsi documents. We discovered that Language Modeling improves the precision of retrieval when compared to a standard vector space model.

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Abstract. OCR error has been shown not to affect the average accuracy of text retrieval or text categorization. Recent studies however have indicated that information extraction is significantly degraded by OCR error. We experimented with information extraction software on two collections, one with OCR-ed documents and another with manuallycorrected versions of the former. We discovered a significant reduction in accuracy on the OCR text versus the corrected text. The majority of errors were attributable to zoning problems rather than OCR classification errors.