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Bram Vanroy

Bram Vanroy has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 6 · 17 works · 72 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 39 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #9448

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

🎓Ghent UniversityGhent · Belgium2017–2024 · 13 papersEmployment 2017–2021 · PhD researcher, Translation, Interpreting, and CommunicationEmployment 2021–2023 · Post-doctoral researcher, Translation, Interpreting, and Communicationcurrent🎓KU LeuvenLeuven · Belgium2015–2023 · 3 papersEducation 2015–2016 · Master of Arts (M.A.) in Computational and Formal Linguistics, LinguisticsEducation 2016–2017 · Master of Science (M.Sc.) in Artificial Intelligence, Computer ScienceEmployment since 2022 · Post-doctoral researcher, ComForTcurrent🎓Instituut voor de Nederlandse TaalLeiden · Netherlands2024Employment since 2024

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Language Resources for Dutch Large Language Modelling (2023 · 15 citations)
    Dutch has about 24 million speakers but few generative language models, training datasets or evaluation tools built for it. Off-the-shelf models such as Llama 2 often drift into English, invent words or read like awkward translations. Vanroy releases a set of open resources to help close this gap.
  2. GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-training (2026)
    Large Dutch pre-training datasets with clear legal standing are hard to find. Web-derived resources such as CulturaX, FineWeb-2 and HPLT offer volume but uncertain provenance, while curated INT corpora are small or limit commercial reuse. The authors built the GPT-NL Public Corpus, the publicly releasable part of the…

All works

5 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. MATEO: MAchine Translation Evaluation Online ↗Proceedings of the 24th Annual Conference of the European Association for Machine Translation · no summary yetBram Vanroy, Arda Tezcan, Lieve Macken2023 · 28 citations
  2. Language Resources for Dutch Large Language ModellingarXiv:2312.12852Bram Vanroy2023 · 15 citations
  3. Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment ↗Proceedings of the 24th Annual Conference of the European Association for Machine Translation · no summary yetLieve Macken, Bram Vanroy, Arda Tezcan2023 · 3 citations
  4. GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-trainingLanguage Resources and Evaluation Conference (LREC)Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.2026
  5. Modelling word translation entropy and syntactic equivalence with machine learning ↗Proceedings of the Second MEMENTO workshop on Modelling Parameters of Cognitive Effort in Translation Production · no summary yetBram Vanroy, Orphée De Clercq, Lieve Macken2019

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 39 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/bram-vanroy/