Experimental results demonstrate that our model can significantly outperform the strong standard baseline multilingual systems and achieve even better performance than individually trained models on most of the language pairs.
our contributions are three-fold in this work: (1) We present a universal representor to replace encoder and decoder, leading to a compact translation model, which fully explores the commonality between languages.