The reason is two-fold: on the one hand, the non-literal parallel data makes false positive in noisy data detection; on the other hand, large-scale SMT systems is relatively robust and tolerant to noisy data, especially when we remove frequency-1 phrase pairs.
we propose to integrate the importance scores when re-estimating phrase pair probabilities in this paper.