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Benjamin Lecouteux

Benjamin Lecouteux has 2 papers in our library, in 2019–2026, most of them on Language models & pretraining, Information extraction, Low-resource languages; often with Didier Schwab, Benoît Crabbé, Gilles Sérasset.

2 papers in our library · 2019–2026

OpenAlex · ORCID · h-index 18 · 231 works · 1,133 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 334 times in our library · 35 more in our library without a page yet · ⭐ Paper Stars ranking: #4963

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

🔬Laboratoire d'Informatique de GrenobleGrenoble · France2005–2026 · 129 paperscurrent🎓Université Grenoble AlpesSaint-Martin-d'Hères · France2005–2026 · 83 papersEmployment 2011–2022 · Associate Professor, Laboratoire Informatique de Grenoble / GETALP teamEmployment since 2022 · Professor, Laboratoire Informatique de Grenoble - GETALP teamcurrent🔬Centre National de la Recherche ScientifiqueParis · France2011–2026 · 37 paperscurrent🎓Institut polytechnique de GrenobleGrenoble · France2011–2026 · 27 paperscurrent🔬Laboratoire Informatique d'AvignonAvignon · France2006–2011 · 15 papers🎓Université d'Avignon et des Pays de VaucluseAvignon · France2007–2011 · 7 papers🎓Université Joseph FourierGrenoble · France2011–2014 · 6 papers🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt · France2021–2024 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

 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 5Research subjects and languages the work is about.French · 1 workLanguage models & pretraining · 1 workInformation extraction · 1 workKnowledge graphs & ontologies · 1 workLow-resource languages · 1 work

 Works by year

2020s

20261 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FlauBERT: Unsupervised Language Model Pre-training for French (2019 · 299 citations)
    Pre-trained contextual language models such as BERT have reshaped NLP. Most of the gains, however, were shown for English. French relied mainly on multilingual models (mBERT, XLM, XLM-R) and had no shared evaluation benchmark. The authors built FlauBERT, a monolingual French model that uses the BERT architecture and…
  2. Ontology-Guided Synthetic Data Generation for Low-Resource Information Extraction: A Case Study in IT Heritage Domain (2026)
    Building NER and RE systems for niche fields is hard because expert-labelled data is scarce. Existing Reverse-IE methods create synthetic training text from knowledge graphs, but they assume such a knowledge base already exists. The authors drop that assumption and start from a formal ontology instead. Their pipeline…

All works

37 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. FlauBERT: Unsupervised Language Model Pre-training for FrencharXiv:1912.05372Hang Le, Loïc Vial, Jibril Frej, et al.2019 · 299 citations
  2. Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation ↗Proceedings of the 10th Global Wordnet Conference · no summary yetLoïc Vial, Benjamin Lecouteux, Didier Schwab2019 · 91 citations
  3. LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech ↗arXiv:2309.05472 · no summary yetTitouan Parcollet et al.2023 · 36 citations
  4. LIG System for WMT13 QE Task: Investigating the Usefulness of Features in Word Confidence Estimation for MT ↗Proceedings of the Eighth Workshop on Statistical Machine Translation · no summary yetNgoc-Quang Luong, Benjamin Lecouteux, Laurent Besacier2013 · 30 citations
  5. Disentangling ASR and MT Errors in Speech Translation ↗Proceedings of Machine Translation Summit XVI: Research Track · no summary yetNgoc-Tien Le, Benjamin Lecouteux, Laurent Besacier2017 · 9 citations
  6. Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetVincent Segonne et al.2024 · 4 citations
  7. Simple, Simpler and Beyond: A Fine-Tuning BERT-Based Approach to Enhance Sentence Complexity Assessment for Text Simplification ↗Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023) · no summary yetLucía Ormaechea et al.2023 · 4 citations
  8. FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French) ↗Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles · no summary yetHang Le et al.2020 · 4 citations
  9. A Multimodal French Corpus of Aligned Speech, Text, and Pictogram Sequences for Speech-to-Pictogram Machine Translation ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetCécile Macaire et al.2024 · 3 citations
  10. Joint ASR and MT Features for Quality Estimation in Spoken Language Translation ↗Proceedings of the 13th International Conference on Spoken Language Translation · no summary yetNgoc-Tien Le, Benjamin Lecouteux, Laurent Besacier2016 · 3 citations
  11. Pantagruel: Unified Self-Supervised Encoders for French Text and Speech ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetPhuong-Hang Le et al.2026 · 1 citation
  12. Modèles auto-supervisés de traitement de la parole pour le Créole Haitien ↗Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux · no summary yetWilliam N. Havard et al.2025 · 1 citation
  13. What Has LeBenchmark Learnt about French Syntax? ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetZdravko Dugonjić et al.2024 · 1 citation
  14. Technologies de la parole et données de terrain : le cas du créole haïtien ↗Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position · no summary yetWilliam N. Havard et al.2024 · 1 citation
  15. Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français ↗Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 2 : traductions d'articles publiès · no summary yetVincent Segonne et al.2024 · 1 citation
  16. Prédiction de performance des systèmes de reconnaissance automatique de la parole à l'aide de réseaux de neurones convolutifs [Performance prediction of automatic speech recognition systems using convolutional neural networks] ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetZied Elloumi et al.2018 · 1 citation
  17. Uniformisation de corpus anglais annotés en sens (Unification of sense annotated English corpora for word sense disambiguation) ↗Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Volume 3 - Démonstrations · no summary yetLoïc Vial, Benjamin Lecouteux, Didier Schwab2017 · 1 citation
  18. Automatic Quality Assessment for Speech Translation Using Joint ASR and MT Features ↗arXiv:1609.06049 · no summary yetNgoc-Tien Le, Benjamin Lecouteux, Laurent Besacier2016 · 1 citation
  19. Ontology-Guided Synthetic Data Generation for Low-Resource Information Extraction: A Case Study in IT Heritage DomainKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Nakanyseth Vuth, Emrick Poncet, Gilles Sérasset, et al.2026
  20. Approches cascade et de bout-en-bout pour la traduction automatique de la parole en pictogrammes ↗Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position · no summary yetCécile Macaire et al.2024
  21. Un corpus multimodal alignant parole, transcription et séquences de pictogrammes dédié à la traduction automatique de la parole vers des pictogrammes ↗Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 2 : traductions d'articles publiès · no summary yetCécile Macaire et al.2024
  22. Simplification Strategies in French Spontaneous Speech ↗Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024 · no summary yetLucía Ormaechea et al.2024
  23. Une approche par graphe pour l'analyse syntaxique en dépendances de bout en bout de la parole ↗Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position · no summary yetAdrien Pupier et al.2024
  24. Plateformes pour la création de données en pictogrammes ↗Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 5 : démonstrations · no summary yetCécile Macaire et al.2023
  25. Voice2Picto : un système de traduction automatique de la parole vers des pictogrammes ↗Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 5 : démonstrations · no summary yetCécile Macaire et al.2023

See all 37 works by Benjamin Lecouteux →

 Co-authors here

7 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 334 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

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