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.
CITATION STYLE
Agiza, H. N., Hassan, A. E., & Salah, N. (2012). An English-to-Arabic Prototype Machine Translator for Statistical Sentences. Intelligent Information Management, 04(01), 13–22. https://doi.org/10.4236/iim.2012.41003
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