mlsanityData to 7 Oct 2026

Lost in Interpreting: Speech Translation from Source or Interpreter?

arXiv 2106.09343 ↗First posted 17 Jun 2021cs.CLcited by 10

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Abstract (arXiv)

Interpreters facilitate multi-lingual meetings but the affordable set of languages is often smaller than what is needed. Automatic simultaneous speech translation can extend the set of provided languages. We investigate if such an automatic system should rather follow the original speaker, or an interpreter to achieve better translation quality at the cost of increased delay. To answer the question, we release Europarl Simultaneous Interpreting Corpus (ESIC), 10 hours of recordings and transcripts of European Parliament speeches in English, with simultaneous interpreting into Czech and German. We evaluate quality and latency of speaker-based and interpreter-based spoken translation systems from English to Czech. We study the differences in implicit simplification and summarization of the human interpreter compared to a machine translation system trained to shorten the output to some extent. Finally, we perform human evaluation to measure information loss of each of these approaches.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 11 of its 30 references that are in the map. First posted on arXiv 17 Jun 2021.

Builds on

11 of 30 references.

References · 11

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018Marian: Fast Neural Machine Translation in C++cited by 202
  3. 2019Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debatescited by 114
  4. 2018BLEU is Not Suitable for the Evaluation of Text Simplificationcited by 78
  5. 2016Controlling Output Length in Neural Encoder-Decoderscited by 75
  6. 2019Positional Encoding to Control Output Sequence Lengthcited by 56
  7. 2018Low-Latency Neural Speech Translationcited by 35
  8. 2019Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translationcited by 24
  9. 2020Super-Human Performance in Online Low-latency Recognition of Conversational Speechcited by 20
  10. 2019Multilingual Neural Machine Translation for Zero-Resource Languagescited by 5
  11. 2020ELITR Non-Native Speech Translation at IWSLT 2020cited by 5

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Citing papers per year: 2022: 3; 2023: 4; 2024: 2; 2025: 1.

10 papers.