Our first key idea is to view the oracle extraction as a bottom-up model scoring process on the hypergraph.
we train a 4-gram language model (LM) on only the reference translation(s), and use this LM as the only model to do a Viterbi search on the hypergraph to find the hypothesis that has the maximum (oracle) LM score.