mlsanityData to 14 Oct 2026

Can neural machine translation do simultaneous translation?

arXiv 1606.02012 ↗First posted 7 Jun 2016cs.CLcited by 86

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Abstract (arXiv)

We investigate the potential of attention-based neural machine translation in simultaneous translation. We introduce a novel decoding algorithm, called simultaneous greedy decoding, that allows an existing neural machine translation model to begin translating before a full source sentence is received. This approach is unique from previous works on simultaneous translation in that segmentation and translation are done jointly to maximize the translation quality and that translating each segment is strongly conditioned on all the previous segments. This paper presents a first step toward building a full simultaneous translation system based on neural machine translation.

Key facts. Cited by 86 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Jun 2016.

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Citing papers per year: 2021: 21; 2022: 14; 2023: 20; 2024: 13; 2025: 11; 2026: 7.

86 papers.

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  1. 2022Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translationcited by 57
  2. 2021RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformercited by 40
  3. 2022Information-Transport-based Policy for Simultaneous Translationcited by 40
  4. 2024TransLLaMa: LLM-based Simultaneous Translation Systemcited by 34
  5. 2021Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policycited by 32
  6. 2021Learning When to Translate for Streaming Speechcited by 30
  7. 2022CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022cited by 30
  8. 2021SimulSLT: End-to-End Simultaneous Sign Language Translationcited by 27
  9. 2023Hidden Markov Transformer for Simultaneous Machine Translationcited by 25
  10. 2023End-to-End Simultaneous Speech Translation with Differentiable Segmentationcited by 22
  11. 2022Modeling Dual Read/Write Paths for Simultaneous Machine Translationcited by 21
  12. 2024StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learningcited by 21
38 more
  1. 2023Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Taskscited by 20
  2. 2022Gaussian Multi-head Attention for Simultaneous Machine Translationcited by 17
  3. 2024How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?cited by 17
  4. 2021BSTC: A Large-Scale Chinese-English Speech Translation Datasetcited by 16
  5. 2022Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Frameworkcited by 16
  6. 2022Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translationcited by 16
  7. 2022Average Token Delay: A Latency Metric for Simultaneous Translationcited by 15
  8. 2022Exploring Continuous Integrate-and-Fire for Adaptive Simultaneous Speech Translationcited by 14
  9. 2024Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agentcited by 14
  10. 2025SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translationcited by 13
  11. 2021Stream-level Latency Evaluation for Simultaneous Machine Translationcited by 12
  12. 2023Non-autoregressive Streaming Transformer for Simultaneous Translationcited by 12
  13. 2024Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translationcited by 11
  14. 2024A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translationcited by 10
  15. 2021Direct Simultaneous Speech-to-Speech Translation with Variational Monotonic Multihead Attentioncited by 9
  16. 2022From Simultaneous to Streaming Machine Translation by Leveraging Streaming Historycited by 9
  17. 2022MT Metrics Correlate with Human Ratings of Simultaneous Speech Translationcited by 9
  18. 2023Simultaneous Machine Translation with Large Language Modelscited by 9
  19. 2025Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voicecited by 9
  20. 2021Towards the evaluation of automatic simultaneous speech translation from a communicative perspectivecited by 8
  21. 2023Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoffcited by 8
  22. 2023Efficient Monotonic Multihead Attentioncited by 8
  23. 2021Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translationcited by 7
  24. 2021It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Datacited by 7
  25. 2025SimulPL: Aligning Human Preferences in Simultaneous Machine Translationcited by 7
  26. 2021Simultaneous Multi-Pivot Neural Machine Translationcited by 6
  27. 2023Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inferencecited by 6
  28. 2023Long-Form End-to-End Speech Translation via Latent Alignment Segmentationcited by 6
  29. 2023Unified Segment-to-Segment Framework for Simultaneous Sequence Generationcited by 6
  30. 2024Direct Speech-to-Speech Neural Machine Translation: A Surveycited by 6
  31. 2022Anticipation-Free Training for Simultaneous Machine Translationcited by 5
  32. 2024Self-Modifying State Modeling for Simultaneous Machine Translationcited by 5
  33. 2021Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translationcited by 4
  34. 2021Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinementcited by 4
  35. 2023Efficient Encoders for Streaming Sequence Taggingcited by 4
  36. 2023LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translationcited by 4
  37. 2024Overcoming Non-monotonicity in Transducer-based Streaming Generationcited by 4
  38. 2025Better Late Than Never: Meta-Evaluation of Latency Metrics for Simultaneous Speech-to-Text Translationcited by 4

50 most cited of 86 All 86 (JSON)