Our combination strategy yields larger gains over the SMT baselines than simpler rescoring or pipelining used in prior work on hybrid systems (Grundkiewicz and Junczys-Dowmunt, 2018).
both SMT and neural sequence-to-sequence models require large amounts of annotated data.