Un système de traduction de verbes entre arabe standard et arabe dialectal par analyse morphologique profonde

Ahmed Hamdi (1) , Rahma Boujelbane (1, 2) , Nizar Habash (3) , Alexis Nasr (1)

1 LIF - Laboratoire d'informatique Fondamentale de Marseille
2 MIRACL - Multimedia, InfoRmation systems and Advanced Computing Laboratory
3 CCLS - Center for Computational Learning Systems

The developpment of NLP tools for dialects faces the severe problem of lack of resources for such dialects. In the case of diglossia, as in arabic, a variant of arabic, Modern Standard Arabic, exists, for which many resources have been developped which can be used to build NLP tools. Taking advantage of the closeness of MSA and dialects, one way to solve the problem consist in performing a surfacic translation of the dialect into MSA in order to use the tools developped for MSA. We describe in this paper an achitecture for such a translation and we evaluate it on arabic verbs.

Domaines: Traitement du texte et du document

Ahmed Hamdi, Rahma Boujelbane, Nizar Habash, Alexis Nasr. Un système de traduction de verbes entre arabe standard et arabe dialectal par analyse morphologique profonde. Traitement Automatique des Langues Naturelles, Jun 2013, France. pp.396 - 406. ⟨hal-00908795⟩