8), the mis-prediction is caused by the failure of bilingual alignment (between chengban in S and in charge in R).
our model regards chengban as omittable as bilingual alignment fails to align it to in charge in R. though chengban is translated in R but not translated in T , we classify it as oK instead of M. This example again demonstrates the important of alignment in error detection task.