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20152023
most citedClassify or Select: Neural Architectures for Extractive Document Summarization

83 citations · 271 across the 30 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CL2019

Machine Translation in Pronunciation Space

Hairong Liu, Mingbo Ma, Liang Huang

The research in machine translation community focus on translation in text space. However, humans are in fact also good at direct translation in pronunciation space. Some existing…

cs.CL2019★ 5 cited

Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework

Mingbo Ma, Baigong Zheng, Kaibo Liu +5

Text-to-speech synthesis (TTS) has witnessed rapid progress in recent years, where neural methods became capable of producing audios with high naturalness. However, these efforts s…

cs.CL2019

Speculative Beam Search for Simultaneous Translation

Renjie Zheng, Mingbo Ma, Baigong Zheng +1

Beam search is universally used in full-sentence translation but its application to simultaneous translation remains non-trivial, where output words are committed on the fly. In pa…

cs.CL2019★ 4 cited

Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

Baigong Zheng, Renjie Zheng, Mingbo Ma +1

Simultaneous translation is widely useful but remains challenging. Previous work falls into two main categories: (a) fixed-latency policies such as Ma et al. (2019) and (b) adaptiv…

cs.CL2019★ 1 cited

Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report

Renjie Zheng, Hairong Liu, Mingbo Ma +2

This paper describes the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared Task. Transla…

cs.CL2019★ 3 cited

Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

Baigong Zheng, Renjie Zheng, Mingbo Ma +1

Simultaneous translation is widely useful but remains one of the most difficult tasks in NLP. Previous work either uses fixed-latency policies, or train a complicated two-staged mo…