Leveraging multiple languages to improve statistical MT word alignments
We present a new multilingual statistical MT word alignment model based on a simple extension of the IBM and HMM models and a two-step alignment procedure. Preliminary results on a small hand-aligned subset of the Europarl corpus show a 7% relative improvement over a state of the art alignment model