144 citations · 274 across the 20 of their papers we have counts for
Showing 2019Show all
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cs.CL2019★ 8 cited
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation
Tianyu He, Xu Tan, Tao Qin
Neural machine translation (NMT) typically adopts the encoder-decoder framework. A good understanding of the characteristics and functionalities of the encoder and decoder can help…
cs.CL2019★ 8 cited
Language Graph Distillation for Low-Resource Machine Translation
Tianyu He, Jiale Chen, Xu Tan +1
Neural machine translation on low-resource language is challenging due to the lack of bilingual sentence pairs. Previous works usually solve the low-resource translation problem wi…
cs.CV2019★ 5 cited
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin, Yijun Wang, Tianyu He +1
Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data. However, existing do…