They then use segment n-grams, segment position of the character being diacritized, the POS of the current segment, along with lexical features, including letter and word n-grams.
while many of the same elements are used in their 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- 18.0 5.5 7.9 2.5 Figure 1: Diacritization Results (all followed by single-choice-diac model); our best results are shown in boldface; Only-DLM-1 is the baseline; "Zitouni" is (Zitouni et al., 2006) kenization, morphological tag, and diacritization), they have a pipeline of processors.