Different from Brown's generative model (Brown et al., 1993), the loglinear model does not assume strong independency holds, and allows arbitrary features to be integrated into the model easily.
it can transform complex language translation into feature engineering: it can achieve high translation performance if reasonable features are chosen and appropriate parameters are assigned for the weight vector.