105 citations · 147 across the 17 of their papers we have counts for
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cs.CL2018★ 105 cited
An Empirical Exploration of Curriculum Learning for Neural Machine Translation
Xuan Zhang, Gaurav Kumar, Huda Khayrallah +6
Machine translation systems based on deep neural networks are expensive to train. Curriculum learning aims to address this issue by choosing the order in which samples are presente…
cs.CL2018
Correcting Length Bias in Neural Machine Translation
Kenton Murray, David Chiang
We study two problems in neural machine translation (NMT). First, in beam search, whereas a wider beam should in principle help translation, it often hurts NMT. Second, NMT has a t…