Towards Arabic to English Machine Translation

Yasser Salem, Institute of Technology, Blanchardstown
Arnold Hensman, Institute of Technology, Blanchardstown
Brian Nolan, Institute of Technology, Blanchardstown

ITB Journal, Issue No. 17. Institute of Technology Blanchardstown, Dublin. May 2008.

Abstract

This paper explores how the characteristics of the Arabic language will effect the development of a Machine Translation (MT) tool from Arabic to English. Several distinguishing features of Arabic pertinent to MT will be explored in detail with reference to some potential difficulties that they might present. The paper will conclude with a proposed model incorporating the Role and Reference Grammar (RRG) technique to achieve this end.