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Simultaneous machine translation (SiMT) outputs the target sequence while receiving the source sequence, and hence learning when to start translating each target token is the core challenge for SiMT task.
Statistical inference for probabilistic functions of finite state markov chains
Leonard E. Baum and Ted Petrie · 1966
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L. Rabiner and B. Juang · 1986
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Don’t until the final verb wait: Reinforcement learning for simultaneous machine translation
Alvin Grissom II, He He, Jordan Boyd-Graber, John Morgan, and Hal Daumé III · 2014
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Can neural machine translation do simultaneous translation?
Kyunghyun Cho and Masha Esipova · 2016
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Neural machine translation of rare words with subword units
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Online and linear-time attention by enforcing monotonic alignments
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Monotonic infinite lookback attention for simultaneous machine translation
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, and Colin Raffel · 2019
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STACL: Simultaneous translation with implicit anticipation and controllable latency using prefix-to-prefix framework
Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, and Haifeng Wang · 2019
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fairseq: A fast, extensible toolkit for sequence modeling
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Simpler and faster learning of adaptive policies for simultaneous translation
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Efficient Wait-k Models for Simultaneous Machine Translation, 2020
Maha Elbayad, Laurent Besacier, and Jakob Verbeek · 2020
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Monotonic multihead attention
Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, and Jiatao Gu · 2020
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Simultaneous translation policies: From fixed to adaptive
Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, and Liang Huang · 2020
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Opportunistic decoding with timely correction for simultaneous translation
Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, and Liang Huang · 2020
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Translation-based supervision for policy generation in simultaneous neural machine translation
Universal simultaneous machine translation with mixture-of-experts wait-k policy
Shaolei Zhang and Yang Feng · 2021
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Future-guided incremental transformer for simultaneous translation
Shaolei Zhang, Yang Feng, and Liangyou Li · 2021
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Turning fixed to adaptive: Integrating post-evaluation into simultaneous machine translation
Shoutao Guo, Shaolei Zhang, and Yang Feng · 2022
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Language model augmented monotonic attention for simultaneous translation
Sathish Reddy Indurthi, Mohd Abbas Zaidi, Beomseok Lee, Nikhil Kumar Lakumarapu, and Sangha Kim · 2022
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Modeling dual read/write paths for simultaneous machine translation
Shaolei Zhang and Yang Feng · 2022
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Reducing position bias in simultaneous machine translation with length-aware framework
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Cross attention augmented transducer networks for simultaneous translation
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A generative framework for simultaneous machine translation
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Temporally correlated task scheduling for sequence learning
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ICT’s system for AutoSimTrans 2021: Robust char-level simultaneous translation
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Simultaneous translation with flexible policy via restricted imitation learning
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Shaolei Zhang and Yang Feng · 2022
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Gaussian multi-head attention for simultaneous machine translation
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Information-transport-based policy for simultaneous translation
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Wait-info policy: Balancing source and target at information level for simultaneous machine translation
Shaolei Zhang, Shoutao Guo, and Yang Feng · 2022
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Neural hidden Markov model for machine translation
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Incremental decoding and training methods for simultaneous translation in neural machine translation
Fahim Dalvi, Nadir Durrani, Hassan Sajjad, and Stephan Vogel · 2079
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