mlsanityData to 14 Oct 2026

From Simultaneous to Streaming Machine Translation by Leveraging Streaming History

arXiv 2203.02459 ↗First posted 4 Mar 2022cs.CLcited by 9

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Abstract (arXiv)

Simultaneous Machine Translation is the task of incrementally translating an input sentence before it is fully available. Currently, simultaneous translation is carried out by translating each sentence independently of the previously translated text. More generally, Streaming MT can be understood as an extension of Simultaneous MT to the incremental translation of a continuous input text stream. In this work, a state-of-the-art simultaneous sentence-level MT system is extended to the streaming setup by leveraging the streaming history. Extensive empirical results are reported on IWSLT Translation Tasks, showing that leveraging the streaming history leads to significant quality gains. In particular, the proposed system proves to compare favorably to the best performing systems.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 19 of its 42 references that are in the map. First posted on arXiv 4 Mar 2022.

Builds on

19 of 42 references.

References · 19

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,918
  3. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,989
  4. 2019Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contextcited by 1,850
  5. 2019Monotonic Infinite Lookback Attention for Simultaneous Machine Translationcited by 104
  6. 2017Neural Machine Translation with Extended Contextcited by 95
  7. 2019Monotonic Multihead Attentioncited by 93
  8. 2016Can neural machine translation do simultaneous translation?cited by 86
  9. 2020Efficient Wait-k Models for Simultaneous Machine Translationcited by 61
  10. 2019Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translationcited by 56
  11. 2018Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translationcited by 52
  12. 2020Simultaneous Translation Policies: From Fixed to Adaptivecited by 43
7 more
  1. 2018Low-Latency Neural Speech Translationcited by 37
  2. 2020Re-translation versus Streaming for Simultaneous Translationcited by 31
  3. 2019Thinking Slow about Latency Evaluation for Simultaneous Machine Translationcited by 28
  4. 2019A Survey on Document-level Neural Machine Translation: Methods and Evaluationcited by 12
  5. 2021Stream-level Latency Evaluation for Simultaneous Machine Translationcited by 12
  6. 2020Sentence Boundary Augmentation For Neural Machine Translation Robustnesscited by 10
  7. 2020ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020cited by 9

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 5; 2024: 2; 2025: 1; 2026: 1.

9 papers.

  1. 2023End-to-End Simultaneous Speech Translation with Differentiable Segmentationcited by 22
  2. 2024StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selectioncited by 19
  3. 2024Self-Modifying State Modeling for Simultaneous Machine Translationcited by 5
  4. 2023Efficient Encoders for Streaming Sequence Taggingcited by 4
  5. 2023Segmentation-Free Streaming Machine Translationcited by 3
  6. 2023Long-form Simultaneous Speech Translation: Thesis Proposalcited by 3
  7. 2023Enhanced Simultaneous Machine Translation with Word-level Policiescited by 2
  8. 2025MLLP-VRAIN UPV system for the IWSLT 2025 Simultaneous Speech Translation Translation taskcited by 2
  9. 2026DOA: Training-Free Decoder-Only Attention Policy for Long-Form Simultaneous Translation with SpeechLLMscited by 1