16 citations · 71 across the 12 of their papers we have counts for
Showing 2017Show all
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cs.CL2017★ 13 cited
Neural Machine Translation with Gumbel-Greedy Decoding
Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li
Previous neural machine translation models used some heuristic search algorithms (e.g., beam search) in order to avoid solving the maximum a posteriori problem over translation sen…
cs.CL2017
A Teacher-Student Framework for Zero-Resource Neural Machine Translation
Yun Chen, Yang Liu, Yong Cheng +1
While end-to-end neural machine translation (NMT) has made remarkable progress recently, it still suffers from the data scarcity problem for low-resource language pairs and domains…
cs.CL2017★ 14 cited
Trainable Greedy Decoding for Neural Machine Translation
Jiatao Gu, Kyunghyun Cho, Victor O. K. Li
Recent research in neural machine translation has largely focused on two aspects; neural network architectures and end-to-end learning algorithms. The problem of decoding, however,…