Modeling Complement Types in Phrase-Based SMT
Marion Weller-Di Marco, Alexander Fraser, Sabine Schulte im Walde
WMT 2016

We explore two approaches to model complement types (NPs and PPs) in
an English-to-German SMT system: A simple abstract representation
inserts pseudo-prepositions that mark the beginning of noun phrases,
to improve the symmetry of source and target complement types, and to
provide a flat structural information on phrase boundaries. An
extension of this representation generates context-aware synthetic
phrase-table entries conditioned on the source side, to model
complement types in terms of grammatical case and preposition choice.
Both the simple preposition-informed system and the context-aware
system significantly improve over the baseline; and the context-aware
system is slightly better than the system without context information.