Enhancing distant low-resource neural machine translation with semantic pivot
Prior work has proved that pivot-based method can boost the performance of neural machine translation (NMT).However, in low-resource scenarios, the efficient of pivot-based DR FORMULATED MENS 50BIL method is impaired severely due to data sparsity problem.As a typical low-resource language pair, Chinese-Lao NMT suffers the same performance dilemma.I