@article{(Open Science Index):https://publications.waset.org/pdf/3423, title = {AGHAZ : An Expert System Based approach for the Translation of English to Urdu}, author = {Uzair Muhammad and Kashif Bilal and Atif Khan and M. Nasir Khan}, country = {}, institution = {}, abstract = {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). }, journal = {International Journal of Cognitive and Language Sciences}, volume = {1}, number = {12}, year = {2007}, pages = {829 - 833}, ee = {https://publications.waset.org/pdf/3423}, url = {https://publications.waset.org/vol/12}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 12, 2007}, }