325 citations · 1.4k across the 89 of their papers we have counts for
6 papers · 1 filter
Modeling Past and Future for Neural Machine Translation
Zaixiang Zheng, Hao Zhou, Shujian Huang +4
Existing neural machine translation systems do not explicitly model what has been translated and what has not during the decoding phase. To address this problem, we propose a novel…
Learning to Remember Translation History with a Continuous Cache
Zhaopeng Tu, Yang Liu, Shuming Shi +1
Existing neural machine translation (NMT) models generally translate sentences in isolation, missing the opportunity to take advantage of document-level information. In this work,…
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…
Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Hao Zhou, Zhaopeng Tu, Shujian Huang +3
In typical neural machine translation~(NMT), the decoder generates a sentence word by word, packing all linguistic granularities in the same time-scale of RNN. In this paper, we pr…
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…
Exploiting Cross-Sentence Context for Neural Machine Translation
Longyue Wang, Zhaopeng Tu, Andy Way +1
In translation, considering the document as a whole can help to resolve ambiguities and inconsistencies. In this paper, we propose a cross-sentence context-aware approach and inves…