Abstract The quality of machine translation systems decreases considerably when dealing with long sentences. In this paper, a transfer-based system is developed for translating long Arabic noun sentences into English. A simple method used for dividing a long sentence into phrases based on conjunctions, prepositions, and quantifier particles. These particles divide a sentence into phrases. The phrases of a source sentence are translated individually. In the end of translation process, target sentence is constructed by connecting the translated phrases. The system was tested on 100 thesis long titles from the management and economy domain. The results show that the method is very efficient with most of the tested sentences.

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[19] Tripathi S. and Sarkhel J., Approaches to Machine Translations, Annals of Library and Information Studies, vol. 57, pp. 388-393, 2010. Namiq Abdullah is a lecturer in Electrical and Computer Engineering at the University of Duhok, Iraq. Prior to joining Duhok University, he worked many years at University of Mosul in Iraq and Al-Hussein Bin Talal University in Jordan. He obtained his M.Sc. degree in Computer Engineering from University of Technology/Iraq (1993), and his B.Sc. in Electronics and Communications Engineering from University of Mosul/Iraq (1979). His research interests include Natural Language Processing and Microprocessor based systems.