A hybrid approach to translate Moroccan Arabic dialect

Today, several tools exist for automatic processing of standard Arabic. In comparison, resources and tools for Arabic dialects especially Moroccan dialect are still lacking. Given the proximity of the Moroccan dialect with standard Arabic, a way is to provide a translation of the first to the second by combining a rule-based approach and a statistical approach, using tools designed for Arabic standard and adapting these tools to Moroccan dialect. We describe in this paper an architecture for such a translation.

[1]  Khaled Shaalan,et al.  Transferring Egyptian Colloquial Dialect into Modern Standard Arabic , 2007 .

[2]  Nizar Habash,et al.  Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine Translation , 2011, EMNLP 2011.

[3]  Salim Roukos,et al.  Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.

[4]  Alon Lavie,et al.  Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems , 2011, WMT@EMNLP.

[5]  Kemal Oflazer,et al.  Transforming Standard Arabic to Colloquial Arabic , 2012, ACL.

[6]  Nizar Habash,et al.  Conventional Orthography for Dialectal Arabic , 2012, LREC.

[7]  Chris Callison-Burch,et al.  Machine Translation of Arabic Dialects , 2012, NAACL.

[8]  Nizar Habash,et al.  MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects , 2006, ACL.

[9]  A. BOUDLAL,et al.  A Morphosyntactic analysis system for Arabic texts , 2010 .

[10]  Khaled Shaalan,et al.  A Hybrid Approach for Converting Written Egyptian Colloquial Dialect into Diacritized Arabic , 2008 .

[11]  Nizar Habash,et al.  Elissa: A Dialectal to Standard Arabic Machine Translation System , 2012, COLING.

[12]  Andreas Stolcke,et al.  SRILM - an extensible language modeling toolkit , 2002, INTERSPEECH.

[13]  Moha Ennaji,et al.  Multilingualism, Cultural Identity, And Education In Morocco , 2005 .

[14]  al shuaibifth.  Sana ’ ani Dialect to Modern Standard Arabic : Rule-based Direct Machine Translation , 2011 .