In this paper, we propose a new, coarse-to-fine, multipass approach which allows much greater speedups by translating into abstracted languages.
rather than beginning with a low-order model of a still-large language, we exploit language projections, hierarchical clusterings of the target language, to effectively reduce the size of the target language.