morpho-lexical analysis for printed Arabic words using c

ABSTRACT<br /> In this research we propose a statistical method and morpho-lexical analysis for correcting Arabic words as a post processor for Arabic words output from OCR systems. Dictionaries of words were built for the comparison to the attached word.<br /> The present research uses...

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Bibliographic Details
Main Authors: Ghaydaa AbdulAziz Altalib (Author), Mahir Ahmad Anwar Alnaema (Author), Rafida Hameed Altaee (Author)
Format: Book
Published: College of Education for Pure Sciences, 2010-12-01T00:00:00Z.
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Summary:ABSTRACT<br /> In this research we propose a statistical method and morpho-lexical analysis for correcting Arabic words as a post processor for Arabic words output from OCR systems. Dictionaries of words were built for the comparison to the attached word.<br /> The present research uses multiple knowledge sources and basing on the Arabic language properties, statistical method, morpho-lexical analysis and dictionary look-up for error detection and correction. Correction of errors in this research depends on the type of possible error, which can be: transposing two adjacent letters, rejection, replacing an incorrect letter, inserting a missing letter, substitution errors, which are most frequently committed by the OCR systems.
Item Description:1812-125X
2664-2530
10.33899/edusj.2010.58455