F. Al-Anzi, K. Al-Zame, M. husian and H. AL-Mutairi, “Automatic English/Arabic HTML Home Page Translation Tool,” King Soud University, Riyadh, 1997.

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.