For our translation model, we used the standard features based on the relative frequency counts, including a 5-gram language model feature trained on the English portion of the whole training data plus portions of the Gigaword v2 corpus.
we tuned the weights of these features via MERT on the NIST MT06 set and we report the result on the NIST MT02, MT03, MT04 and MT05 sets.