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

By: Contributor(s): Material type: TextTextLanguage: eng Publication details: Cairo : Ahmed Hany Mahmoud Hossny , 2010Description: 79 Leaves : charts , facsimiles ; 30cmOther title:
  • أساس لنظام ترجمة واسع النطاق [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
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 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 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

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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