@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},
	}