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20182020
most citedSimultaneous Translation Policies: From Fixed to Adaptive

6 citations · 7 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL2020

Context-aware Stand-alone Neural Spelling Correction

Xiangci Li, Hairong Liu, Liang Huang

Existing natural language processing systems are vulnerable to noisy inputs resulting from misspellings. On the contrary, humans can easily infer the corresponding correct words fr…

cs.CL2020★ 6 cited

Simultaneous Translation Policies: From Fixed to Adaptive

Baigong Zheng, Kaibo Liu, Renjie Zheng +3

Adaptive policies are better than fixed policies for simultaneous translation, since they can flexibly balance the tradeoff between translation quality and latency based on the cur…

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

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★ 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.CL2018

STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework

Mingbo Ma, Liang Huang, Hao Xiong +9

Simultaneous translation, which translates sentences before they are finished, is useful in many scenarios but is notoriously difficult due to word-order differences. While the con…