We construct a log-linear model for Model B by constructing features φ(z B ) (omitting the dependence on x i , c i for convenience) based on the Model A features φ(z A ).
φ(z B ) is the component-wise maximum of φ(z A ) over all z A that project down to z B ; φ(z C ) is defined similarly: Concretely, Model B's features include indicator features over LF conditions in Table 3 con-joined with every n-gram of the entire utterance, as there is no alignment.