Basis for large scale machine translation system / Ahmed Hany Mahmoud Hossny ; Supervised Aly Fahmy , Khaled Shaalan

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Ahmed Hany Mahmoud Hossny

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Material type: Text

TextLanguage: eng Publication details: Cairo : Ahmed Hany Mahmoud Hossny , 2010Description: 79 Leaves : charts , facsimiles ; 30cmOther title:

أساس لنظام ترجمة واسع النطاق [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: 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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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.M.Sc.2010.Ah.B (Browse shelf(Opens below))		Not for loan		01010110053109000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.M.Sc.2010.Ah.B (Browse shelf(Opens below))	53109.CD	Not for loan		01020110053109000

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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

Issued also as CD

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