| A review of the state-of-the-art in automatic post-editing F do Carmo, D Shterionov, J Moorkens, J Wagner, M Hossari, E Paquin, ... Machine Translation 35 (2), 101-143, 2021 | 30 | 2021 |
| Fair MT: Towards ethical, sustainable machine translation D Kenny, J Moorkens, F do Carmo Translation Spaces 9 (1), 1-11, 2020 | 22 | 2020 |
| ‘Time is money’and the value of translation F do Carmo Translation Spaces 9 (1), 35-57, 2020 | 20 | 2020 |
| Post-editing: a Theoretical and Practical Challenge for Translation Studies and Machine Learning F do Carmo Faculdade de Letras da Universidade do Porto, 2017 | 19 | 2017 |
| Differentiating editing, post-editing and revision F do Carmo, J Moorkens Translation Revision and Post-editing: Industry Practices and Cognitive …, 2020 | 17 | 2020 |
| A roadmap to neural automatic post-editing: an empirical approach D Shterionov, F Carmo, J Moorkens, M Hossari, J Wagner, E Paquin, ... Machine Translation 34 (2), 67-96, 2020 | 11 | 2020 |
| Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study H Saadany, C Orasan, RC Quintana, F Carmo, L Zilio arXiv preprint arXiv:2106.10719, 2021 | 6 | 2021 |
| When less is more in neural quality estimation of machine translation. An industry case study D Shterionov, F do Carmo, J Moorkens, E Paquin, D Schmidtke, D Groves, ... European Association for Machine Translation, 2019 | 5 | 2019 |
| APE through neural and statistical MT with augmented data: ADAPT/DCU submission to the WMT 2019 APE Shared task D Shterionov, J Wagner, F Do Carmo Association for Computational Linguistics (ACL), 2019 | 4 | 2019 |
| Editing actions: a missing link between translation process research and machine translation research F do Carmo Explorations in empirical translation process research, 3-38, 2021 | 3 | 2021 |
| Does machine translation really produce translations? F Do Carmo Proceedings of the 21st Annual Conference of the European Association for …, 2018 | 3 | 2018 |
| From CATs to KATs F do Carmo, L Trigo, B Maia Translating and the Computer 38, 149-158, 2016 | 3 | 2016 |
| Translation's new high-tech clothes F do Carmo, J Moorkens The Human Translator in the 2020s, 11-26, 2022 | 2 | 2022 |
| Comparing Post-editing based on Four Editing Actions against Translating with an Auto-Complete Feature F Do Carmo Proceedings of the 22nd Annual Conference of the European Association for …, 2020 | 2 | 2020 |
| Chasing the Complexity of Threads from the Translation Process that Hide in Translation Data F do Carmo Exploring the Implications of Complexity Thinking for Translation Studies …, 2021 | 1 | 2021 |
| Edit distances do not describe editing, but they can be useful for translation process research F do Carmo Proceedings of the Second MEMENTO workshop on Modelling Parameters of …, 2019 | 1 | 2019 |
| SURREY-CTS-NLP at WASSA2022: An experiment of discourse and sentiment analysis for the prediction of empathy, distress and emotion S Qian, C Orǎsan, D Kanojia, H Saadany, F Do Carmo Proceedings of the 12th Workshop on Computational Approaches to Subjectivity …, 2022 | | 2022 |
| Neural networks and the complexity of the translation process F do Carmo EST Congress 2019 - Living Translation, 2019 | | 2019 |
| When less is more in neural quality estimation of machine translation. An industry case study A Way, D Shterionov, F do Carmo, J Moorkens, E Paquin, D Schmidtke, ... European Association for Machine Translation, 2019 | | 2019 |
| Results from project JAS (Job Allocation System) S Herbert, F do Carmo, J Gough University of Surrey, 0 | | |
Joss MoorkensAssociate Professor, Dublin City UniversityVerified email at dcu.ie
