The ADAPT entry to the Blizzard Challenge 2016. - João P. Cabral; Christian Saam; Eva Vanmassenhove; Stephen Bradley; Fasih Haider (Blizzard Challenge, 2016)

Prediction of Emotions from Text using Sentiment Analysis for Expressive Speech Synthesis. - Eva Vanmassenhove; João P. Cabral; Fasih Haider (SSW, 2016)

SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags. - Eva Vanmassenhove; Andy Way (ACL (3), 2018)

Europarl Datasets with Demographic Speaker Information. - Eva Vanmassenhove; Christian Hardmeier (EAMT, 2018)

Getting Gender Right in Neural MT. - Eva Vanmassenhove; Christian Hardmeier; Andy Way (EMNLP, 2018)

ABI Neural Ensemble Model for Gender Prediction. - Eva Vanmassenhove; Amit Moryossef; Alberto Poncelas; Andy Way; Dimitar Sht. Shterionov (GxG@CLIN, 2019)

Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. - Eva Vanmassenhove; Dimitar Sht. Shterionov; Andy Way (MTSummit (1), 2019)

ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction. - Eva Vanmassenhove; Amit Moryossef; Alberto Poncelas; Andy Way; Dimitar Sht. Shterionov (CoRR, 2019)

Getting Gender Right in Neural Machine Translation. - Eva Vanmassenhove; Christian Hardmeier; Andy Way (CoRR, 2019)

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. - Argentina Anna Rescigno; Eva Vanmassenhove; Johanna Monti; Andy Way (CLiC-it, 2020)

On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation. - Eva Vanmassenhove (CoRR, 2020)

Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. - Eva Vanmassenhove; Dimitar Sht. Shterionov; Matthew Gwilliam (EACL, 2021)

NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives. - Eva Vanmassenhove; Chris Emmery; Dimitar Shterionov (EMNLP (1), 2021)

Generating Gender Augmented Data for NLP. - Nishtha Jain; Maja Popovic; Declan Groves; Eva Vanmassenhove (CoRR, 2021)

GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena. - Eva Vanmassenhove; Johanna Monti (CoRR, 2021)

"Vaderland", "Volk" and "Natie": Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings. - Marije Timmermans; Eva Vanmassenhove; Dimitar Shterionov (LChange@ACL, 2022)

The Ecological Footprint of Neural Machine Translation Systems. - Dimitar Sht. Shterionov; Eva Vanmassenhove (CoRR, 2022)

The Ecological Footprint of Neural Machine Translation Systems. - Dimitar Shterionov; Eva Vanmassenhove (Towards Responsible Machine Translation, 2023)

Tailoring Domain Adaptation for Machine Translation Quality Estimation. - Javad PourMostafa Roshan Sharami; Dimitar Shterionov; Frédéric Blain; Eva Vanmassenhove; Mirella De Sisto; Chris Emmery; Pieter Spronck (EAMT, 2023)

Gender Bias in Machine Translation and The Era of Large Language Models. - Eva Vanmassenhove (CoRR, 2024)

Simple integrated circuit reverse-engineering with deep learning: A proof of concept for automating die-polygon-capturing. - Quint van der Linden; Eva Vanmassenhove; Federico Zamberlan; Nevena Rankovic (Expert Syst. Appl., 2025)

A decade of gender bias in machine translation. - Beatrice Savoldi; Jasmijn Bastings; Luisa Bentivogli; Eva Vanmassenhove (Patterns, 2025)

AI in Support of Diversity and Inclusion. - Çiçek Güven; Afra Alishahi; Henry Brighton; Gonzalo Nápoles; Juan Sebastian Olier; Marie Safár; Eric O. Postma; Dimitar Shterionov; Mirella De Sisto; Eva Vanmassenhove (CoRR, 2025)

Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation. - Chiara Manna; Afra Alishahi; Frédéric Blain; Eva Vanmassenhove (CoRR, 2025)

Losing our Tail - Again: On (Un)Natural Selection And Multilingual Large Language Models. - Eva Vanmassenhove (CoRR, 2025)