• Extensive experiments on NIST Chinese-English, WMT14 English-German and WMT18 Russian-English translation tasks demonstrate that our SB-NMT model obtains significant improvements over the strong Transformer model by 3.92, 1.49, and 1.04 BLEU points, respectively.
our proposed model alleviates the under-translation problems by exploiting the combination of left-to-right and right-to-left decoding directions, reducing 30.6% of under-translation errors.