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Basis for large scale machine translation system /

Ahmed Hany Mahmoud Hossny

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

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

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



Inductive Logic programming Machine Learning Machine Translation