Empirically, augmenting the chunked ITG with rules learned via top-down segmentation helps translation quality.
the maximum likelihood objective is inadequate for this purpose; instead, we introduce the minimum conditional description length (MCDL) objective to drive the search for phrasal rules simultaneously from the two opposing types of ITG constraints, both of which have individually been empirically demonstrated to match phrase reordering patterns across translations well.