Semi-Automatic Data Annotation, POS Tagging and Mildly Context-Sensitive   Disambiguation: the eXtended Revised AraMorph (XRAM)
  An extended, revised form of Tim Buckwalter's Arabic lexical and morphological resource AraMorph, eXtended Revised AraMorph (henceforth XRAM), is presented which addresses a number of weaknesses and inconsistencies of the original model by allowing a wider coverage of real-world Classical and contemporary (both formal and informal) Arabic texts. Building upon previous research, XRAM enhancements include (i) flag-selectable usage markers, (ii) probabilistic mildly context-sensitive POS tagging, filtering, disambiguation and ranking of alternative morphological analyses, (iii) semi-automatic increment of lexical coverage through extraction of lexical and morphological information from existing lexical resources. Testing of XRAM through a front-end Python module showed a remarkable success level. 
Giuliano Lancioni, Valeria Pettinari, Laura Garofalo, Marta   Campanelli, Ivana Pepe, Simona Olivieri, Ilaria Cicola
cs.CL cs.IR