This suggests that conventional lexical and phrasal translation models adopted in those SMT systems are not sufficient to correctly translate predicates in source sentences.
we propose a discriminative, feature-based predicate translation model that captures not only lexical information (i.e., surrounding words) but also high-level semantic contexts to correctly translate predicates.