Realization of Minimum Discursive Units Segmentation of Arab Oral Utterances

Unlike the written texts, discourse segmentation of the Arab oral dialogues is a challenging task that is held back in most cases by the spontaneous character of oral speech. Like any segmentation task, segmentation in minimum discursive units (UDM) aims to cut the different statements of a speech into simple proposals easily usable in subsequent treatment. The majority of the work on the Arabic language was based on extensive syntactic analysis approaches. In this article, we try to show the effectiveness of hybrid approaches combining linguistic and probabilistic processes over purely linguistic approaches. The performance of our segmentation was evaluated on a relatively large size corpus. We built this corpus by using the method of the wizard of Oz.