@inproceedings{52dc9284d6bd4ca9b0da2fe2d1942764,
title = "Un syst{\`e}me de traduction de verbes entre arabe standard et arabe dialectal par analyse morphologique profonde",
abstract = "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.",
keywords = "Arabic NLP, Dialects, Morphological analysis",
author = "Ahmed Hamdi and Rahma Boujelbane and Nizar Habash and Alexis Nasr",
note = "Publisher Copyright: {\textcopyright} ATALA.; null ; Conference date: 17-06-2013 Through 21-06-2013",
year = "2013",
language = "French",
series = "Proceedings of TALN 2013",
publisher = "Association pour le Traitement Automatique des Langues",
pages = "395--406",
editor = "Emmanuel Morin and Yannick Esteve",
booktitle = "Long Papers",
}