Eva Vanmassenhove
Eva Vanmassenhove
Assistant Professor at Tilburg University
Verified email at
Cited by
Cited by
Getting gender right in neural machine translation
E Vanmassenhove, C Hardmeier, A Way
arXiv preprint arXiv:1909.05088, 2019
Lost in translation: Loss and decay of linguistic richness in machine translation
E Vanmassenhove, D Shterionov, A Way
arXiv preprint arXiv:1906.12068, 2019
Machine translationese: Effects of algorithmic bias on linguistic complexity in machine translation
E Vanmassenhove, D Shterionov, M Gwilliam
arXiv preprint arXiv:2102.00287, 2021
A case study of natural gender phenomena in translation a comparison of Google Translate, Bing Microsoft Translator and DeepL for English to Italian, French and Spanish
AA Rescigno, E Vanmassenhove, J Monti, A Way
Computational Linguistics CLiC-it 2020, 359, 2020
Translation resources and translator disempowerment
J Moorkens, D Lewis, W Reijers, E Vanmassenhove, A Way
European Language Resource Association, 2016
Investigating'Aspect'in NMT and SMT: translating the English simple past and present perfect
E Vanmassenhove, J Du, A Way
Computational Linguistics in the Netherlands Journal (CLIN) 7, 109-128, 2017
Prediction of Emotions from Text using Sentiment Analysis for Expressive Speech Synthesis.
E Vanmassenhove, JP Cabral, F Haider
SSW, 21-26, 2016
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
E Vanmassenhove, C Emmery, D Shterionov
arXiv preprint arXiv:2109.06105, 2021
SuperNMT: Neural machine translation with semantic supersenses and syntactic supertags
E Vanmassenhove, A Way
Association for Computational Linguistics (ACL), 2018
Europarl datasets with demographic speaker information
E Vanmassenhove, C Hardmeier
European Association for Machine Translation, 2018
Improving subject-verb agreement in SMT
E Vanmassenhove, J Du, A Way
ABI Neural Ensemble Model for Gender Prediction: Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
E Vanmassenhove, A Moryossef, A Poncelas, A Way, D Shterionov
Computational Linguistics in the Netherlands (CLIN) 29, 2019
The ADAPT entry to the Blizzard Challenge 2016
On the need for a global declaration of ethical principles for experimentation with personal data
W Reijers, E Vanmassenhove, D Lewis, J Moorkens
ETHI-CA2 2016: ETHics In Corpus Collection, Annotation & Application …, 2016
gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
E Vanmassenhove, J Monti
Proceeding of the 3rd Workshop on Gender Bias in Natural Language Processing …, 2021
Generating gender augmented data for NLP
N Jain, M Popovic, D Groves, E Vanmassenhove
arXiv preprint arXiv:2107.05987, 2021
On the integration of linguistic features into statistical and neural machine translation
E Vanmassenhove
Dublin City University, 2019
The Ecological Footprint of Neural Machine Translation Systems
D Sherionov, E Vanmassenhove
arXiv preprint arXiv:2202.02170, 2022
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation
A Rama, E Vanmassenhove
Proceedings of the 4th Workshop on Technologies for MT of Low Resource …, 2021
“Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings
M Timmermans, E Vanmassenhove
Computational Linguistics in the Netherlands 31, 2021
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