First of all, our results have shown that careful modeling of class-to-word emission probabilitiesoften omitted from the models used in SMT-is actually important for improving translation quality.
we have achieved best results when using a refined variant of the original class-based LM, called fullibm, which had never been tested for SMT but only for speech recognition (Goodman, 2001).