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Who cites Benjamin Lecouteux

334 citations of their works from 322 papers of our library (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← Benjamin Lecouteux

  1. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
  2. CamemBERT: a Tasty French Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.2019 · 1,269 citations
  3. Findings of the 2014 Workshop on Statistical Machine TranslationConference on Machine Translation (WMT)Ondřej Bojar, Christian Buck, Christian Federmann, et al.2014 · 935 citations
  4. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
  5. Findings of the 2015 Workshop on Statistical Machine TranslationConference on Machine Translation (WMT)Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2015 · 465 citations
  6. Findings of the 2013 Workshop on Statistical Machine TranslationConference on Machine Translation (WMT)Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.2013 · 445 citations
  7. German's Next Language ModelInternational Conference on Computational Linguistics (COLING)Branden Chan, Stefan Schweter, Timo Möller2020 · 385 citations
  8. BERTje: A Dutch BERT ModelarXiv:1912.09582Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, et al.2019 · 361 citations
  9. FlauBERT: Unsupervised Language Model Pre-training for FrencharXiv:1912.05372Hang Le, Loïc Vial, Jibril Frej, et al.2019 · 299 citations
  10. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  11. JGLUE: Japanese General Language Understanding EvaluationLanguage Resources and Evaluation Conference (LREC)Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata2022 · 90 citations
  12. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
  13. JABER and SABER: Junior and Senior Arabic BERtarXiv:2112.04329Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
  14. AlclaM: Arabic Dialect Language ModelArabic Natural Language Processing Conference (ArabicNLP)Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.2024 · 10 citations
  15. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
  16. Bilingual BSARD: Extending Statutory Article Retrieval to DutchProceedings of the 1st Regulatory NLP Workshop (RegNLP 2025)Ehsan Lotfi, Nikolay Banar, Nerses Yuzbashyan, et al.2025 · 5 citations
  17. Coarse-Grained Sense Inventories Based on Semantic Matching between English DictionariesarXiv:2409.06386Masato Kikuchi, Masatsugu Ono, Toshioki Soga, et al.2024 · 2 citations
  18. Ara-Best-RQ: Multi Dialectal Arabic SSLarXiv:2603.21900Haroun Elleuch, Ryan Whetten, Salima Mdhaffar, et al.2026 · 1 citation
  19. AlcLaM: Arabic Dialectal Language ModelarXiv:2407.13097Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.2024 · 1 citation
  20. Annotating the French Wiktionary with supersenses for large scale lexical analysis: a use case to assess form-meaning relationships within the nominal lexiconCOLING 2025 (Abu Dhabi)Nicolas Angleraud, Lucie Barque, Marie Candito2025

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