The prior works showed that these models help to find some segmentations tailored for SMT, since the bilingual word occurrence feature can be captured by the character-based alignment (Och and Ney, 2003).
these models tend to miss out other linguistic segmentation patterns as monolingual supervised models, and suffer from the negative effects of erroneously alignments to word segmentation.