Arabic morpho-syntactic feature disambiguation in a translation context

Morphological analysis and disambiguation are crucial stages in a variety of natural language processing applications such as machine translation, especially when languages with complex morphology are concerned such as Arabic. Arabic is a highly flexional language, in that, the same root can lead to various forms according to its context. In this paper, we present a system which disambiguates the output of a morphological analyzer for Arabic. The Arabic morphological analyzer used consists of a set of all possible morphological analyses for each word, with the unique correct syntactic feature. We want to choose the correct features using the features generated by the morphological analyzer for the French language in the other side. To obtain this data, we used the results of the alignment of word trained with GIZA++ (Och and Ney, 2003).