| 2026 | ACL | Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs. | Eva Vanmassenhove |
| 2026 | EAMT | Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains. | Dimitar Shterionov, Noa van Helleman, Eva Vanmassenhove |
| 2026 | LREC | Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures. | Chiara Manna, Hosein Mohebbi, Afra Alishahi, Frdric Blain, Eva Vanmassenhove |
| 2026 | LREC | ConGA: Guidelines for Contextual Gender Annotation. a Framework for Annotating Gender in Machine Translation. | Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti |
| 2023 | EAMT | Tailoring Domain Adaptation for Machine Translation Quality Estimation. | Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Frdric Blain, Eva Vanmassenhove, Mirella De Sisto, Chris Emmery, Pieter Spronck |
| 2021 | EACL | Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. | Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam |
| 2021 | EMNLP | NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives. | Eva Vanmassenhove, Chris Emmery, Dimitar Shterionov |
| 2018 | ACL | SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags. | Eva Vanmassenhove, Andy Way |
| 2018 | EAMT | Europarl Datasets with Demographic Speaker Information. | Eva Vanmassenhove, Christian Hardmeier |
| 2018 | EMNLP | Getting Gender Right in Neural MT. | Eva Vanmassenhove, Christian Hardmeier, Andy Way |