7 citations · 15 across the 6 of their papers we have counts for
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3 papers · 1 filter
cs.CL2021★ 2 cited
Improving Neural Machine Translation by Bidirectional Training
Liang Ding, Di Wu, Dacheng Tao
We present a simple and effective pretraining strategy -- bidirectional training (BiT) for neural machine translation. Specifically, we bidirectionally update the model parameters…
cs.CL2021★ 1 cited
The USYD-JD Speech Translation System for IWSLT 2021
Liang Ding, Di Wu, Dacheng Tao
This paper describes the University of Sydney& JD's joint submission of the IWSLT 2021 low resource speech translation task. We participated in the Swahili-English direction and go…
cs.CL2021★ 4 cited
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding
Di Wu, Yiren Chen, Liang Ding +1
Spoken language understanding (SLU) system usually consists of various pipeline components, where each component heavily relies on the results of its upstream ones. For example, In…