However, these earlier studies focused on the ngram translation models, where the translation probability of a phrase or a sentence is decomposed as a product of n-gram probabilities as in a standard n-gram language model.
it is not clear how their approaches can be applied to the phrase translation model 1 , which is much more version of such a model can be trained efficiently because the factor models used by Son et al.