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Sebastien Bratieres

Sebastien Bratieres has 2 papers in our library, in 2025–2026, most of them on Speech & spoken language, Semitic languages; often with Ameen Abu Hanna, Iacer Calixto, Nishant Mishra.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 2 · 13 works · 8 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 30 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10755

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏥Amsterdam University Medical CentersAmsterdam · Netherlands2026 · 3 paperscurrent🎓University of CambridgeCambridge · United KingdomEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workSignal Processing · 1 workInformation Systems · 1 workPsychology · 1 workSocial Psychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Arabic ASR on the SADA Large-Scale Arabic Speech Corpus with Transformer-Based Models (2025 · 4 citations)
    The paper looks at how well current transformer speech recognisers handle dialectal Arabic. The test bed is SADA, a 668-hour corpus taken from 57 Saudi television shows. SADA is hard because it mixes read and spontaneous speech across several dialects and acoustic conditions, and only about a third of it counts as…
  2. Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation (2026)
    Secondary use of hospital notes requires removing personal information, and manual redaction is slow and expensive.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Speech Translation and Metrics in 2026: Findings of the IWSLT Campaign ↗Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026) · no summary yetDavid Ifeoluwa Adelani et al.2026 · 30 citations
  2. Arabic ASR on the SADA Large-Scale Arabic Speech Corpus with Transformer-Based ModelsLecture notes in computer scienceBranislav Gerazov, Marcello Politi, Sebastien Bratieres2025 · 4 citations
  3. Differentially Private De-identification of Dutch Clinical Notes: A Comparative EvaluationWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECMichele Miranda, Xinlan Yan, Nishant Mishra, et al.2026
  4. A Bayesian approach to translators' reliability assessment ↗arXiv:2203.07135 · no summary yetMarco Miccheli et al.2022

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

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