  Parsing the Arabic language is a difficult task given the specificities of
this language and given the scarcity of digital resources (grammars and
annotated corpora). In this paper, we suggest a method for Arabic parsing based
on supervised machine learning. We used the SVMs algorithm to select the
syntactic labels of the sentence. Furthermore, we evaluated our parser
following the cross validation method by using the Penn Arabic Treebank. The
obtained results are very encouraging.
