Sentence Level Dialect Identification for Machine Translation System Selection
Wael Salloum, Heba Elfardy, Linda Alamir-Salloum, Nizar Y. Habash, Mona Diab · 2014
In this paper we study the use of sentencelevel dialect identification in optimizing machine translation system selection when translating mixed dialect input.We test our approach on Arabic, a prototypical diglossic language; and we optimize the combination of four different machine translation systems.Our best result improves over the best single MT system baseline by 1.0% BLEU and over a strong system selection baseline by 0.6% BLEU on a blind test set.