To model the relationship between the grammar of definiteness and its communicative functions in a data-driven fashion, we work within the supervised framework of feature-rich discriminative classification, treating the functional categories from §2 as output labels y and various lexical, morphological, and syntactic characteristics of the language as features of the input x.
we learn two kinds of probabilistic models.