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H. M. O. Mokhtar, N. M. Darwish and A. A. Rafea, “An Automatic System for English-Arabic Translation of Sci- entific Text (SEATS),” Master of Science Thesis, Computer Engineering Department, Faculty of Engineering, Cairo University, Cairo, 2000.

has been cited by the following article:

• TITLE: An English-to-Arabic Prototype Machine Translator for Statistical Sentences

  AUTHORS: Hamdy N. Agiza, Ahmed E. Hassan, Noura Salah

  KEYWORDS: Machine Translation; Natural Language Processing; Parsing; Dictionary

  JOURNAL NAME: Intelligent Information Management, Vol.4 No.1, January 4, 2012

  ABSTRACT: Authors of that paper proposed a prototype machine translator system to translate scientific English sentences into Ara- bic sentences. This system is based on natural language processing and machine learning. This proposed system is ap- plied in statistical field, which is very important on a mathematical sub field in Math department. The system is ana- lyzed, designed and developed. Author tested the proposed system on some statistical statements. It proves its validity as a prototype system.