Our technique, applied as preprocessing to the source corpus, splits and normalizes surface words based on the target sentence context.
we trained translation parameters for 10 scores (language model, word and phrase count, and 6 translation model scores from (Vogel, 2005) ) with Minimum Error Rate training on the development set.