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Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

arXiv 1906.01135 ↗First posted 4 Jun 2019cs.CLcited by 22

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Abstract (arXiv)

Simultaneous translation is widely useful but remains one of the most difficult tasks in NLP. Previous work either uses fixed-latency policies, or train a complicated two-staged model using reinforcement learning. We propose a much simpler single model that adds a `delay' token to the target vocabulary, and design a restricted dynamic oracle to greatly simplify training. Experiments on Chinese<->English simultaneous translation show that our work leads to flexible policies that achieve better BLEU scores and lower latencies compared to both fixed and RL-learned policies.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2019.

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Citing papers per year: 2020: 1; 2021: 10; 2022: 6; 2023: 5.

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  1. 2022Information-Transport-based Policy for Simultaneous Translationcited by 40
  2. 2021RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformercited by 39
  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. 2023Hidden Markov Transformer for Simultaneous Machine Translationcited by 24
  6. 2022Modeling Dual Read/Write Paths for Simultaneous Machine Translationcited by 21
  7. 2022Gaussian Multi-head Attention for Simultaneous Machine Translationcited by 17
  8. 2022Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Frameworkcited by 16
  9. 2021The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021cited by 13
  10. 2020Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learningcited by 10
  11. 2021Simultaneous Speech Translation for Live Subtitling: from Delay to Displaycited by 8
  12. 2023Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoffcited by 8
10 more
  1. 2021Simultaneous Multi-Pivot Neural Machine Translationcited by 6
  2. 2022Anticipation-Free Training for Simultaneous Machine Translationcited by 5
  3. 2021Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinementcited by 4
  4. 2023LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translationcited by 4
  5. 2021Visualization: the missing factor in Simultaneous Speech Translationcited by 2
  6. 2023NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpuscited by 2
  7. 2021MeetDot: Videoconferencing with Live Translation Captionscited by 1
  8. 2021Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategycited by 0
  9. 2022Data-Driven Adaptive Simultaneous Machine Translationcited by 0
  10. 2023On Combining Expert Demonstrations in Imitation Learning via Optimal Transportcited by 0