mlsanityData to 7 Oct 2026

BSTC: A Large-Scale Chinese-English Speech Translation Dataset

arXiv 2104.03575 ↗First posted 8 Apr 2021cs.CLcited by 16

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Abstract (arXiv)

This paper presents BSTC (Baidu Speech Translation Corpus), a large-scale Chinese-English speech translation dataset. This dataset is constructed based on a collection of licensed videos of talks or lectures, including about 68 hours of Mandarin data, their manual transcripts and translations into English, as well as automated transcripts by an automatic speech recognition (ASR) model. We have further asked three experienced interpreters to simultaneously interpret the testing talks in a mock conference setting. This corpus is expected to promote the research of automatic simultaneous translation as well as the development of practical systems. We have organized simultaneous translation tasks and used this corpus to evaluate automatic simultaneous translation systems.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 18 of its 32 references that are in the map. First posted on arXiv 8 Apr 2021.

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18 of 32 references.

References · 18

  1. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,898
  2. 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 462
  3. 2019ERNIE 2.0: A Continual Pre-training Framework for Language Understandingcited by 230
  4. 2017Sequence-to-Sequence Models Can Directly Translate Foreign Speechcited by 121
  5. 2019Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debatescited by 114
  6. 2016Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translationcited by 113
  7. 2019Monotonic Infinite Lookback Attention for Simultaneous Machine Translationcited by 103
  8. 2016Learning to Translate in Real-time with Neural Machine Translationcited by 97
  9. 2016Can neural machine translation do simultaneous translation?cited by 85
  10. 2020ESPnet-ST: All-in-One Speech Translation Toolkitcited by 82
  11. 2020CoVoST 2 and Massively Multilingual Speech-to-Text Translationcited by 73
  12. 2020CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpuscited by 57
6 more
  1. 2018Low-Latency Neural Speech Translationcited by 35
  2. 2018Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluationcited by 34
  3. 2018Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spacescited by 34
  4. 2019Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translationcited by 30
  5. 2019DuTongChuan: Context-aware Translation Model for Simultaneous Interpretingcited by 6
  6. 2018STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Frameworkcited by 4

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Citing papers per year: 2021: 1; 2022: 3; 2023: 6; 2024: 4; 2025: 1; 2026: 1.

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  1. 2023LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTcited by 77
  2. 2023BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writingcited by 75
  3. 2022Controllable Data Generation by Deep Learning: A Reviewcited by 20
  4. 2024Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agentcited by 14
  5. 2025LLMs can be easily Confused by Instructional Distractionscited by 12
  6. 2023Adaptive Policy with Wait-k Model for Simultaneous Translationcited by 8
  7. 2021It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Datacited by 7
  8. 2024FFSTC: Fongbe to French Speech Translation Corpuscited by 3
  9. 2024Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Paircited by 3
  10. 2022Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languagescited by 2
  11. 2022A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translationcited by 2
  12. 2023NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpuscited by 2
4 more
  1. 2024PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translationcited by 2
  2. 2023Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskritcited by 1
  3. 2023Rethinking the Reasonability of the Test Set for Simultaneous Machine Translationcited by 0
  4. 2026Rubric-Aligned Disentangled Evaluation of Human Simultaneous Interpretingcited by 0