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20172021
most citedEnd-to-End Speech Translation with Knowledge Distillation

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

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10 papers · 1 filter

cs.CL2021

Mixup Decoding for Diverse Machine Translation

Jicheng Li, Pengzhi Gao, Xuanfu Wu +4

Diverse machine translation aims at generating various target language translations for a given source language sentence. Leveraging the linear relationship in the sentence latent…

cs.CL2021

BSTC: A Large-Scale Chinese-English Speech Translation Dataset

Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang +6

This paper presents BSTC (Baidu Speech Translation Corpus), a large-scale Chinese-English speech translation dataset. This dataset is constructed based on a collection of licensed…

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…