TY - JFULL AU - Uzair Muhammad and Kashif Bilal and Atif Khan and M. Nasir Khan PY - 2007/1/ TI - AGHAZ : An Expert System Based approach for the Translation of English to Urdu T2 - International Journal of Cognitive and Language Sciences SP - 828 EP - 833 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/3423 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 12, 2007 N2 - Machine Translation (MT 3) of English text to its Urdu equivalent is a difficult challenge. Lot of attempts has been made, but a few limited solutions are provided till now. We present a direct approach, using an expert system to translate English text into its equivalent Urdu, using The Unicode Standard, Version 4.0 (ISBN 0-321-18578-1) Range: 0600–06FF. The expert system works with a knowledge base that contains grammatical patterns of English and Urdu, as well as a tense and gender-aware dictionary of Urdu words (with their English equivalents). ER -