Noting that the gap widens at smaller corpus sizes, we suggest that our tree-based approach is more suitable than string-based phrasal SMT when translating from English into languages or domains with limited parallel data.
we make the following simplifying assumption (where c is a function returning the set of nodes modifying t): Furthermore, we assume that the position of each child can be modeled independently in terms of a head-relative position: Figure 3a demonstrates an aligned dependency tree pair annotated with head-relative positions; Figure 3b presents the same information in an alternate tree-like representation.