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Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation

arXiv 1806.03661 ↗First posted 10 Jun 2018cs.CLcited by 51

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Abstract (arXiv)

We address the problem of simultaneous translation by modifying the Neural MT decoder to operate with dynamically built encoder and attention. We propose a tunable agent which decides the best segmentation strategy for a user-defined BLEU loss and Average Proportion (AP) constraint. Our agent outperforms previously proposed Wait-if-diff and Wait-if-worse agents (Cho and Esipova, 2016) on BLEU with a lower latency. Secondly we proposed data-driven changes to Neural MT training to better match the incremental decoding framework.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jun 2018.

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Citing papers per year: 2020: 1; 2021: 18; 2022: 6; 2023: 12; 2024: 8; 2025: 5; 2026: 1.

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  1. 2021RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformercited by 39
  2. 2024TransLLaMa: LLM-based Simultaneous Translation Systemcited by 34
  3. 2021Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policycited by 32
  4. 2021Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASRcited by 31
  5. 2021Learning When to Translate for Streaming Speechcited by 30
  6. 2023Hidden Markov Transformer for Simultaneous Machine Translationcited by 24
  7. 2022Modeling Dual Read/Write Paths for Simultaneous Machine Translationcited by 21
  8. 2022Gaussian Multi-head Attention for Simultaneous Machine Translationcited by 17
  9. 2024How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?cited by 17
  10. 2023Learning Optimal Policy for Simultaneous Machine Translation via Binary Searchcited by 15
  11. 2021An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategiescited by 14
  12. 2022Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translationcited by 14
38 more
  1. 2025Chronological Thinking in Full-Duplex Spoken Dialogue Language Modelscited by 13
  2. 2024Decoder-only Streaming Transformer for Simultaneous Translationcited by 11
  3. 2020Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learningcited by 10
  4. 2021Direct Simultaneous Speech-to-Speech Translation with Variational Monotonic Multihead Attentioncited by 9
  5. 2022From Simultaneous to Streaming Machine Translation by Leveraging Streaming Historycited by 9
  6. 2023Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoffcited by 8
  7. 2023Adaptive Policy with Wait-k Model for Simultaneous Translationcited by 8
  8. 2023Efficient Monotonic Multihead Attentioncited by 8
  9. 2021Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translationcited by 7
  10. 2021SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memorycited by 7
  11. 2021Simultaneous Multi-Pivot Neural Machine Translationcited by 6
  12. 2023Tagged End-to-End Simultaneous Speech Translation Training using Simultaneous Interpretation Datacited by 6
  13. 2023Long-Form End-to-End Speech Translation via Latent Alignment Segmentationcited by 6
  14. 2022Anticipation-Free Training for Simultaneous Machine Translationcited by 5
  15. 2021Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translationcited by 4
  16. 2021Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinementcited by 4
  17. 2023Efficient Encoders for Streaming Sequence Taggingcited by 4
  18. 2023LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translationcited by 4
  19. 2025Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systemscited by 4
  20. 2021Optimizing Latency for Online Video CaptioningUsing Audio-Visual Transformerscited by 3
  21. 2021Simultaneous Neural Machine Translation with Constituent Label Predictioncited by 3
  22. 2023Long-form Simultaneous Speech Translation: Thesis Proposalcited by 3
  23. 2024Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Paircited by 3
  24. 2025Spatial Speech Translation: Translating Across Space With Binaural Hearablescited by 3
  25. 2021Visualization: the missing factor in Simultaneous Speech Translationcited by 2
  26. 2022Supervised Visual Attention for Simultaneous Multimodal Machine Translationcited by 2
  27. 2023Enhanced Simultaneous Machine Translation with Word-level Policiescited by 2
  28. 2024Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Modelscited by 2
  29. 2024PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translationcited by 2
  30. 2021Infusing Future Information into Monotonic Attention Through Language Modelscited by 1
  31. 2024R-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translationcited by 1
  32. 2024NAIST Simultaneous Speech Translation System for IWSLT 2024cited by 1
  33. 2025Non-Monotonic Attention-based Read/Write Policy Learning for Simultaneous Translationcited by 1
  34. 2021Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNscited by 0
  35. 2021Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategycited by 0
  36. 2021Reinforcement Learning for on-line Sequence Transformationcited by 0
  37. 2023Context Consistency between Training and Testing in Simultaneous Machine Translationcited by 0
  38. 2025Overcoming Latency Bottlenecks in On-Device Speech Translation: A Cascaded Approach with Alignment-Based Streaming MTcited by 0

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