972 citations · 1.3k across the 6 of their papers we have counts for
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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…
Memory-enhanced Decoder for Neural Machine Translation
Mingxuan Wang, Zhengdong Lu, Hang Li +1
We propose to enhance the RNN decoder in a neural machine translator (NMT) with external memory, as a natural but powerful extension to the state in the decoding RNN. This memory-e…
Neural Machine Translation with External Phrase Memory
Yaohua Tang, Fandong Meng, Zhengdong Lu +2
In this paper, we propose phraseNet, a neural machine translator with a phrase memory which stores phrase pairs in symbolic form, mined from corpus or specified by human experts. F…
A Novel Approach to Dropped Pronoun Translation
Longyue Wang, Zhaopeng Tu, Xiaojun Zhang +3
Dropped Pronouns (DP) in which pronouns are frequently dropped in the source language but should be retained in the target language are challenge in machine translation. In respons…
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu, Zhengdong Lu, Hang Li +1
We address an important problem in sequence-to-sequence (Seq2Seq) learning referred to as copying, in which certain segments in the input sequence are selectively replicated in the…
Neural Responding Machine for Short-Text Conversation
Lifeng Shang, Zhengdong Lu, Hang Li
We propose Neural Responding Machine (NRM), a neural network-based response generator for Short-Text Conversation. NRM takes the general encoder-decoder framework: it formalizes th…