Dr Eva Vanmassenhove

Shterionov, D., & Vanmassenhove, E. (2023). The Ecological Footprint of Neural Machine Translation Systems. In Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation Springer.

Timmermans, M., Vanmassenhove, E., & Shterionov, D. (2022). “Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings. In N. Tahmasebi, S. Montariol, A. Kutuzov, S. Hengchen, H. Dubossarsky, & L. Borin (Eds.), LChange 2022: 3rd International Workshop on Computational Approaches to Historical Language Change 2022 (Vol. 3, pp. 125-130). (LChange 2022 - 3rd International Workshop on Computational Approaches to Historical Language Change 2022, Proceedings of the Workshop). Association for Computational Linguistics (ACL).

Jain, N., Popovic, M., Groves, D., & Vanmassenhove, E. (2021). Generating Gender Augmented Data for NLP. 93-102. Paper presented at 3th Workshop on Gender Bias in Natural Language Processing , Bangkok, Thailand.

Rama, A., & Vanmassenhove, E. (2021). A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation. In Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021): LoResMT2021 (4 ed., pp. 68-77). https://aclanthology.org/2021.mtsummit-loresmt.7.pdf

Vanmassenhove, E., & Monti, J. (2021). GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena. 1-7. Paper presented at 3th Workshop on Gender Bias in Natural Language Processing , Bangkok, Thailand.