| Findings of the 2021 conference on machine translation (WMT21) A Farhad, A Arkady, B Magdalena, B Ondřej, C Rajen, C Vishrav, ... Proceedings of the Sixth Conference on Machine Translation, 1-88, 2021 | 155 | 2021 |
| Massive vs. curated embeddings for low-resourced languages: the case of Yorùbá and Twi J Alabi, K Amponsah-Kaakyire, D Adelani, C Espana-Bonet Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 40 | 2020 |
| Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification D Pylypenko, K Amponsah-Kaakyire, KD Chowdhury, J van Genabith, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 12 | 2021 |
| Do not rely on relay translations: Multilingual parallel direct Europarl K Amponsah-Kaakyire, D Pylypenko, C España-Bonet, J van Genabith Proceedings for the First Workshop on Modelling Translation: Translatology …, 2021 | 10 | 2021 |
| Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yor\ub\'a and Twi JO Alabi, K Amponsah-Kaakyire, DI Adelani, C Espana-Bonet arXiv preprint arXiv:1912.02481, 2019 | 9 | 2019 |
| Explaining Translationese: why are Neural Classifiers Better and what do they Learn? K Amponsah-Kaakyire, D Pylypenko, J van Genabith, C España-Bonet arXiv preprint arXiv:2210.13391, 2022 | 5 | 2022 |
