| 2026 | EAMT | Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations. | Kyo Gerrits, Rik van Noord, Ana Guerberof Arenas |
| 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 |
| 2026 | LREC | Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading Times. | Sijbren Van Vaals, Rik van Noord, Malvina Nissim |
| 2025 | ACL | Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation. | Huiyuan Lai, Esther Ploeger, Rik van Noord, Antonio Toral |
| 2025 | COLING | Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora. | Rik van Noord, Miquel Espl-Gomis, Malina Chichirau, Gema Ramrez-Snchez, Antonio Toral |
| 2024 | COLING | Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across 11 Languages. | Rik van Noord, Taja Kuzman, Peter Rupnik, Nikola Ljubesic, Miquel Espl-Gomis, Gema Ramrez-Snchez, Antonio Toral |
| 2024 | EAMT | Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation. | Esther Ploeger, Huiyuan Lai, Rik van Noord, Antonio Toral |
| 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 | EAMT | MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. | Marta Ban, Malina Chichirau, Miquel Espl-Gomis, Mikel L. Forcada, Aarn Galiano Jimnez, Taja Kuzman, Nikola Ljubesic, Rik van Noord, Leopoldo Pla Sempere, Gema Ramrez-Snchez, Peter Rupnik, Vit Suchomel, Antonio Toral, Jaume Zaragoza-Bernabeu |
| 2023 | EAMT | Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios. | Malina Chichirau, Rik van Noord, Antonio Toral |
| 2022 | COLING | Transparent Semantic Parsing with Universal Dependencies Using Graph Transformations. | Wessel Poelman, Rik van Noord, Johan Bos |
| 2022 | EAMT | MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. | Marta Ban, Miquel Espl-Gomis, Mikel L. Forcada, Cristian Garca-Romero, Taja Kuzman, Nikola Ljubesic, Rik van Noord, Leopoldo Pla Sempere, Gema Ramrez-Snchez, Peter Rupnik, Vt Suchomel, Antonio Toral, Tobias van der Werff, Jaume Zaragoza |
| 2022 | EAMT | Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context. | Tobias van der Werff, Rik van Noord, Antonio Toral |
| 2021 | ACL | Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese. | Chunliu Wang, Rik van Noord, Arianna Bisazza, Johan Bos |
| 2020 | EMNLP | Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT. | Rik van Noord, Antonio Toral, Johan Bos |
| 2018 | LREC | A Taxonomy for In-depth Evaluation of Normalization for User Generated Content. | Rob van der Goot, Rik van Noord, Gertjan van Noord |
| 2018 | LREC | Evaluating Scoped Meaning Representations. | Rik van Noord, Lasha Abzianidze, Hessel Haagsma, Johan Bos |
| 2017 | EACL | The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. | Lasha Abzianidze, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Rik van Noord, Pierre Ludmann, Duc-Duy Nguyen, Johan Bos |