Although the correct translation can also be composed by two phrases 海水 ⇒ and 淡化 ⇒ , its overall translation score cannot beat the incorrect one because the combined phrase translation probability of these two phrases are much smaller than ( |海水 淡化) .
if we intentionally remove the ( | ) feature from the model, the preferred translation can be generated as shown in the result of − because in this way the bad estimation of ( | ) for this phrase is avoided.