1. Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
  2. Tailoring Domain Adaptation for Machine Translation Quality Estimation
  3. A New English-Dutch-NGT Corpus for the Hospitality Domain
    De Sisto, Mirella, Vandeghinste, Vincent, and Shterionov, Dimitar
    In Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages, 2023
  4. SignON: Sign Language Translation. Progress and challenges
    Vandeghinste, Vincent, Shterionov, DimitarDe Sisto, Mirella, Brady, Aoife, De Coster, Mathieu, Leeson, Lorraine, Blat, Josep, Picron, Frankie, Scipioni, Marcello Paolo, Parikh, Aditya, Bosch, Louis, O’Flaherty, John, Dambre, Joni, Rijckaert, Jorn, Vanroy, Bram, Nogales, Victor Ubieto, Gomez, Santiago Egea, Schuurman, Ineke, Labaka, Gorka, Nunez-Marcos, Adrian, Murtagh, Irene, McGill, Euan, and Saggion, Horacio
    In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023
  5. GoSt-ParC-Sign: Gold Standard Parallel Corpus of Sign and spoken language
    De Sisto, Mirella, Vandeghinste, Vincent, Soetemans, Lien, Brosens, Caro, and Shterionov, Dimitar
    In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023
  6. Report on Europe’s Sign Languages. Deliverable European Language Equality II project
    Vandeghinste, Vincent, De Sisto, Mirella, Kopf, Maria, Schulder, Marc, Brosens, Caro, Soetemans, Lien, Omardeen, Rehana, Picron, Frankie, Landuyt, Davy Van, Murtagh, Irene, Avramidis, Eleftherios, and De Coster, Mathieu


  1. Quality Estimation for the Translation Industry–Data Challenges
    In The 32nd Meeting of Computational Linguistics in The Netherlands, 2022
  2. Challenges with sign language datasets for sign language recognition and translation
    De Sisto, Mirella, Vandeghinste, Vincent, Gómez, Santiago Egea, De Coster, Mathieu, Shterionov, Dimitar, and Seggion, H
    In LREC2022, the 13th International Conference on Language Resources and Evaluation, pp. 2478–2487, 2022
  3. The Ecological Footprint of Neural Machine Translation Systems
  4. A Quality Estimation and Quality Evaluation Tool for the Translation Industry
    In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pp. 305–306, 2022
  5. Final Devoicing in Dutch Medieval and Renaissance Texts: A Preliminary Study on Orthographic Variation
    De Sisto, Mirella
    Filologia Germanica - Germanic Philology. Germanic Philology and the Digital Paradigm: Models, Methods and Tools for Medieval Germanic Texts, 2022
  6. Modelli di demarcazione della metà verso nel metro rinascimentale romanzo
    De Sisto, Mirella
    Interruzioni e cesure. Fenomeni e pratiche della discontinuità in linguistica, letteratura e arti performative, 2022


  1. Generating gender augmented data for NLP
    Jain, Nishtha, Popovic, Maja, Groves, Declan, and Vanmassenhove, Eva
    arXiv preprint arXiv:2107.05987, 2021
  2. gENder-IT: An annotated English-Italian parallel challenge set for cross-linguistic natural gender phenomena
    Vanmassenhove, Eva, and Monti, Johanna
    arXiv preprint arXiv:2108.02854, 2021
  3. NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
    arXiv preprint arXiv:2109.06105, 2021
  4. Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
    arXiv preprint arXiv:2112.06096, 2021
  5. Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping
    De Sisto, MirellaShterionov, Dimitar, Murtagh, Irene, Vermeerbergen, Myriam, and Leeson, Lorraine
    https://aclanthology. org/volumes/2021. mtsummit-at4ssl/, pp. 98–103, 2021
  6. Early-stage development of the SignON application and open framework–challenges and opportunities
    Shterionov, Dimitar, O’Flaherty, John J, Keane, Edward, O’Reilly, Connor, Scipioni, Marcello Paolo, Giovanelli, Marco, and Villa, Matteo
    In Proceedings of Machine Translation Summit XVIII: Users and Providers Track, pp. 277–290, 2021
  7. Transformers analyzing poetry. Multilingual metrical pattern prediction with transformer-based language models
    De la Rosa, Javier, Pérez, Álvaro, De Sisto, Mirella, Hernández, Laura, Diaz, Aitor, Ros, Salvador, and Blanco, Elena González
    Neural Computing and Applications, 2021
  8. The automatic quantitative metrical analysis of Spanish Poetry with Rantanplan: a first approach
    Hernández-Lorenzo, Laura, De Sisto, Mirella, Pérez, Álvaro, De la Rosa, Javier, Ros, Salvador, and González-Blanco, Elena
    In Tackling the Toolkit: Plotting Poetry through Computational Literary Studies, pp. 31–42, 2021