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An extended, revised form of Tim Buckwalter's Arabic lexical andmorphological resource AraMorph, eXtended Revised AraMorph (henceforth XRAM),is presented which addresses a number of weaknesses and inconsistencies of theoriginal model by allowing a wider coverage of real-world Classical andcontemporary (both formal and informal) Arabic texts. Building upon previousresearch, XRAM enhancements include (i) flag-selectable usage markers, (ii)probabilistic mildly context-sensitive POS tagging, filtering, disambiguationand ranking of alternative morphological analyses, (iii) semi-automaticincrement of lexical coverage through extraction of lexical and morphologicalinformation from existing lexical resources. Testing of XRAM through afront-end Python module showed a remarkable success level.

Semi-Automatic Data Annotation, POS Tagging and Mildly Context-Sensitive Disambiguation: the eXtended Revised AraMorph (XRAM)