activity
20172019
most citedEnd-to-End Speech Translation with Knowledge Distillation

36 citations · 48 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CL20199 cited

Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding

Yuchen Liu, Jiajun Zhang, Hao Xiong +5

Speech-to-text translation (ST), which translates source language speech into target language text, has attracted intensive attention in recent years. Compared to the traditional p…

cs.CL2019

Multi-agent Learning for Neural Machine Translation

Tianchi Bi, Hao Xiong, Zhongjun He +2

Conventional Neural Machine Translation (NMT) models benefit from the training with an additional agent, e.g., dual learning, and bidirectional decoding with one agent decoding fro…

cs.CL2019

DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting

Hao Xiong, Ruiqing Zhang, Chuanqiang Zhang +3

In this paper, we present DuTongChuan, a novel context-aware translation model for simultaneous interpreting. This model allows to constantly read streaming text from the Automatic…

cs.CL201936 cited

End-to-End Speech Translation with Knowledge Distillation

Yuchen Liu, Hao Xiong, Zhongjun He +4

End-to-end speech translation (ST), which directly translates from source language speech into target language text, has attracted intensive attentions in recent years. Compared to…

cs.CL2018

Modeling Coherence for Discourse Neural Machine Translation

Hao Xiong, Zhongjun He, Hua Wu +1

Discourse coherence plays an important role in the translation of one text. However, the previous reported models most focus on improving performance over individual sentence while…

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…