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.
