Coupling hierarchical word reordering and decoding in phrase-based statistical machine translation
Maxim Khalilov, José A. R. Fonollosa, Mark Dras · 2009
In this paper, we start with the existing idea of taking reordering rules automatically derived from syntactic representations, and applying them in a preprocessing step before translation to make the source sentence structurally more like the target; and we propose a new approach to hierarchically extracting these rules. We evaluate this, combined with a lattice-based decoding, and show improvements over state-of-the-art distortion models.