<cite>Zitouni et al. (2006)</cite> use a maximum entropy classifier to assign a set of diacritics to the letters of each word. Thus, while many of the same elements are used in <cite>their</cite> and our work (word n-grams, features related to morphological analysis), the basic approach is quite different: while we have one procedure that chooses a correct analysis (including to- Figure 1: Diacritization Results (all followed by single-choice-diac model); our best results are shown in boldface; Only-DLM-1 is the baseline; <cite>"Zitouni"</cite> is <cite>(Zitouni et al., 2006)</cite> kenization, morphological tag, and diacritization), they have a pipeline of processors.