Measuring uncertainty in translation quality evaluation (TQE) S Gladkoff, I Sorokina, L Han, A Alekseeva arXiv preprint arXiv:2111.07699, 2021 | 22 | 2021 |
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It L Han, G Erofeev, I Sorokina, S Gladkoff, G Nenadic arXiv preprint arXiv:2209.07417, 2022 | 16 | 2022 |
cushLEPOR: customising hLEPOR metric using optuna for higher agreement with human judgments or pre-trained language model LaBSE L Han, I Sorokina, G Erofeev, S Gladkoff arXiv preprint arXiv:2108.09484, 2021 | 12 | 2021 |
Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning L Han, S Gladkoff, G Erofeev, I Sorokina, B Galiano, G Nenadic Frontiers in Digital Health 6, 1211564, 2024 | 11 | 2024 |
Investigating massive multilingual pre-trained machine translation models for clinical domain via transfer learning L Han, G Erofeev, I Sorokina, S Gladkoff, G Nenadic arXiv preprint arXiv:2210.06068, 2022 | 10 | 2022 |
Using massive multilingual pre-trained language models towards real zero-shot neural machine translation in clinical domain L Han, G Erofeev, I Sorokina, S Gladkoff, G Nenadic arXiv, 2022 | 3 | 2022 |
cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations G Erofeev, I Sorokina, L Han, S Gladkoff Association for Computational Linguistics, 2021 | 3 | 2021 |
Monte carlo modelling of confidence intervals in translation quality evaluation (tqe) and post-editing dstance (ped) measurement A Alekseeva, S Gladkoff, I Sorokina, L Han | 2 | 2021 |
cushlepor: Customised hlepor metric using labse distilled knowledge model to improve agreement with human judgements L Han, I Sorokina, G Erofeev, S Gladkoff Proceedings of the Sixth Conference on Machine Translation, Online …, 2021 | 2 | 2021 |
MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs S Gladkoff, L Han, G Erofeev, I Sorokina, G Nenadic Proceedings of the 25th Annual Conference of the European Association for …, 2024 | | 2024 |
Predictive Data Analytics with AI: assessing the need for post-editing of MT output by fine-tuning OpenAI LLMs S Gladkoff, G Erofeev, I Sorokina, L Han, G Nenadic AMTA2023: Generative AI and the Future of Machine Translation, 2023 | | 2023 |