82 citations · 432 across the 55 of their papers we have counts for
5 papers · 1 filter
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches
Shaohui Kuang, Deyi Xiong, Weihua Luo +1
Sentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate…
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…
Translating Phrases in Neural Machine Translation
Xing Wang, Zhaopeng Tu, Deyi Xiong +1
Phrases play an important role in natural language understanding and machine translation (Sag et al., 2002; Villavicencio et al., 2005). However, it is difficult to integrate them…
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…
A GRU-Gated Attention Model for Neural Machine Translation
Biao Zhang, Deyi Xiong, Jinsong Su
Neural machine translation (NMT) heavily relies on an attention network to produce a context vector for each target word prediction. In practice, we find that context vectors for d…