- Mona T. Diab, Mahmoud A. Ghoneim, Nizar Habash. 2007. Arabic diacritization in the context of statistical machine translation. Abstract: Diacritics in Arabic are optional orthographic symbols typically representing short vowels. Most Arabic text is underspecified for diacritics. However, we do observe partial diacritization depending on genre and domain. In this paper, we investigate the impact of Arabic diacritization on statistical machine translation (SMT). We define several diacritization schemes ranging from full to partial diacritization. We explore the impact of the defined schemes on SMT in two different modes which tease apart the effect of diacritization on the alignment and its consequences on decoding. Our results show that none of the partial diacritization schemes significantly varies in performance from the no-diacritization baseline despite the increase in the number of types in the data. However, a full diacritization scheme performs significantly worse than no diacritization. Crucially, our research suggests that the SMT performance is positively correlated with the increase in the number of tokens correctly affected by a diacritization scheme and the high F-score of the automatic assignment of the particular diacritic.
