Ahmed Hany Mahmoud Hossny  <br/><br/>
Basis for large scale machine translation system /  
 أساس لنظام ترجمة واسع النطاق 
Ahmed Hany Mahmoud Hossny ; Supervised Aly Fahmy , Khaled Shaalan 
 - Cairo :   Ahmed Hany Mahmoud Hossny ,   2010 
 - 79 Leaves :   charts , facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science 
<br/><br/> This thesis addresses the development of a rule - based machine translation system with minimum resources targeting the best possible translation results as coverage and correctness . To build the translation model (transfer rules ) with minimum resources the system should learn these rules from a set of paralled examples as input (parallet corpora ) using some logical machine learning technique 
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<br/><br/><label>Subjects--Index Terms: </label>Inductive Logic programming  Machine Learning  Machine Translation