The experimental results demonstrate that the three strategies can significantly outperform the baseline multilingual models and they can achieve comparable or even better performance than the individually trained translation models.
our contributions in this paper are two-fold: • The proposed three strategies can take advantage of unique features of each target language while sharing the network parameters as many as possible.