The low-quality bilingual data degrades the quality of word alignment and leads to the incorrect phrase pairs, which will hurt the translation performance of phrase-based SMT systems (Koehn et al., 2003;Och and Ney, 2004).
it is very important to exploit data quality information to improve the translation modeling.