--- title: "Who cites BERTje: A Dutch BERT Model" description: "162 papers of the Elamur Research library cite «BERTje: A Dutch BERT Model», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [BERTje: A Dutch BERT Model](https://md.research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/) / cited by # Who cites «BERTje: A Dutch BERT Model» 162 papers of our library cite it (of the 140,884 whose bibliographies we read) · 19 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/) 1. [**Pre-trained Models for Natural Language Processing: A Survey**Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.*2020 · 1,740 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/) 2. [**mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer**Linting Xue, Noah Constant, Adam Roberts, et al.*2021 · 1,574 citations*](https://md.research.elamur.ai/free/en/papers/xue-2021-mt5-massively-multilingual-pre-trained/) 3. [**Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,548 citations*](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) 4. [**AraBERT: Transformer-based Model for Arabic Language Understanding**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,297 citations*](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/) 5. [**PhoBERT: Pre-trained language models for Vietnamese**Dat Quoc Nguyen, Anh Tuan Nguyen*2020 · 571 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/) 6. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/) 7. [**How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/) 8. [**RobBERT: a Dutch RoBERTa-based Language Model**Pieter Delobelle, Thomas Winters, Bettina Berendt*2020 · 346 citations*](https://md.research.elamur.ai/free/en/papers/delobelle-2020-robbert-dutch-roberta-based-language/) 9. [**FlauBERT: Unsupervised Language Model Pre-training for French**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 293 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/) 10. [**When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models**Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, et al.*2021 · 189 citations*](https://md.research.elamur.ai/free/en/papers/muller-2021-when-being-unseen-mbert-is/) 11. [**Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing**Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/) 12. [**Pre-Training BERT on Arabic Tweets: Practical Considerations**Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/) 13. [**LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain**Joel Niklaus, Veton Matoshi, Pooja Rani, et al.*2023 · 122 citations*](https://md.research.elamur.ai/free/en/papers/niklaus-2023-lextreme-multi-lingual-multi-task/) 14. [**A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News**Corbèn Poot, Andreas van Cranenburgh*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/poot-2020-benchmark-rule-based-neural-coreference/) 15. [**Hybrid Enhanced Universal Dependencies Parsing**Johannes Heinecke*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/heinecke-2020-hybrid-enhanced-universal-dependencies-parsing/) 16. [**On the Importance of Tokenization in Arabic Embedding Models**Mohamed Alkaoud, Mairaj Syed*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alkaoud-2020-importance-tokenization-arabic-embedding-models/) 17. [**The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task**James Barry, Joachim Wagner, Jennifer Foster*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/barry-2020-adapt-enhanced-dependency-parser-iwpt/) 18. [**Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya**Abrhalei Tela; Abraham Woubie;, Ville Hautamaki*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/tela-2020-transferring-monolingual-model-low-resource/) 19. [**AlcLaM: Arabic Dialectal Language Model**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/) 143 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/) — BERTje: A Dutch BERT Model