| 2026 | LREC | Investigating the Role of Synthetic Data Augmentation and Training Strategies on Improving Low-Resource Language ASR. | Yun Hao, Reihaneh Amooie, Wietse de Vries, Rik van Noord, Martijn Wieling |
| 2025 | ICASSP | Enhancing Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance. | Reihaneh Amooie, Wietse de Vries, Yun Hao, Jelske Dijkstra, Matt Coler, Martijn Wieling |
| 2024 | Interspeech | Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion. | Yun Hao, Reihaneh Amooie, Wietse de Vries, Thomas Tienkamp, Rik van Noord, Martijn Wieling |
| 2023 | EMNLP | DUMB: A Dutch Model Benchmark. | Wietse de Vries, Martijn Wieling, Malvina Nissim |
| 2022 | ACL | Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages. | Wietse de Vries, Martijn Wieling, Malvina Nissim |
| 2021 | ACL | Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. | Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling |
| 2021 | ACL | As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages. | Wietse de Vries, Malvina Nissim |
| 2020 | EMNLP | What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models. | Wietse de Vries, Andreas van Cranenburgh, Malvina Nissim |