Transfer-based Arabic to English Noun Sentence

Translation Using Shallow Segmentation

Namiq Abdullah

Department of Electrical and Computer Engineering, University of Duhok, Iraq

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.

Keywords: Machine translation, transfer-based approach, noun phrases, sentence partitioning.