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040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.20.03.M.Sc.2010.Ah.B
100 0 _aAhmed Hany Mahmoud Hossny
245 1 0 _aBasis for large scale machine translation system /
_cAhmed Hany Mahmoud Hossny ; Supervised Aly Fahmy , Khaled Shaalan
246 1 5 _aأساس لنظام ترجمة واسع النطاق
260 _aCairo :
_bAhmed Hany Mahmoud Hossny ,
_c2010
300 _a79 Leaves :
_bcharts , facsimiles ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520 _aThis 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
530 _aIssued also as CD
653 4 _aInductive Logic programming
653 4 _aMachine Learning
653 4 _aMachine Translation
700 0 _aAly Fahmy ,
_eSupervisor
700 0 _aKhaled Shaalan ,
_eSupervisor
905 _aFatma
_eCataloger
905 _aMustafa
_eRevisor
942 _2ddc
_cTH
999 _c30350
_d30350