23 citations · 48 across the 7 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CL2017★ 3 cited
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
Shaohui Kuang, Junhui Li, António Branco +2
In neural machine translation, a source sequence of words is encoded into a vector from which a target sequence is generated in the decoding phase. Differently from statistical mac…
cs.CL2017★ 1 cited
Learning When to Attend for Neural Machine Translation
Junhui Li, Muhua Zhu
In the past few years, attention mechanisms have become an indispensable component of end-to-end neural machine translation models. However, previous attention models always refer…
cs.CL2017★ 23 cited
Modeling Source Syntax for Neural Machine Translation
Junhui Li, Deyi Xiong, Zhaopeng Tu +3
Even though a linguistics-free sequence to sequence model in neural machine translation (NMT) has certain capability of implicitly learning syntactic information of source sentence…