An English-to-Arabic Prototype Machine Translator for Statistical Sentences

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

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DOI: 10.4236/iim.2012.41003                

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.

Keywords

Machine Translation; Natural Language Processing; Parsing; Dictionary

Conflicts of Interest

The authors declare no conflicts of interest.

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