ARSYPAR: A tool for parsing the Arabic language based on supervised learning
نویسندگان
چکیده
In this paper, we present a tool for parsing the Arabic language based on supervised machine learning. The used algorithm for the learning phase is the support vector machine. We also used the Penn Arabic Treebank as a learning corpus. Furthermore, we evaluated our parser following the cross validation method. The obtained results are very encouraging. We give at the end our vision to ameliorate the obtained results.
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تاریخ انتشار 2013