- Elif Eyigoz, D. Gildea, Kemal Oflazer. 2013. Multi-Rate HMMs for Word Alignment. Abstract: We apply multi-rate HMMs, a tree structured HMM model, to the word-alignment problem. Multi-rate HMMs allow us to model reordering at both the morpheme level and the word level in a hierarchical fashion. This approach leads to better machine translation results than a morphemeaware model that does not explicitly model morpheme reordering.
