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.