Synchronous Bidirectional Neural Machine Translation
Table 7: Chinese-English BLEU scores of standard Transformer enhanced with pseudo data, and our SB-NMT model with combined data strategy.
['Model', 'TEST']
Comparison to Data-Enhanced NMT In the training setup, we have obtained pseudo L2R and R2L references (→yp and ←yp) by using L2R and R2L models respectively. Here, we first compare our proposed model with NMT enhanced by pseudo data, and further explore the data utilization of SB-NMT by using combined data strategy (six triples data, that is, (→yg, ←yp), (reversed ←yp, ←yg), (→yp, ←yg), (→yg, reversed →yp), (→yp, ←yp), and (reversed ←yp, reversed →yp)). Furthermore, by making full use of training data, our model (six triple data) significantly improves the translation quality by 1.03 BLEU points than the original set (two triples data).