| Measuring uncertainty in translation quality evaluation (TQE) S Gladkoff, I Sorokina, L Han, A Alekseeva arXiv preprint arXiv:2111.07699, 2021 | 15 | 2021 |
| HOPE: A task-oriented and human-centric evaluation framework using professional post-editing towards more effective MT evaluation S Gladkoff, L Han arXiv preprint arXiv:2112.13833, 2021 | 14 | 2021 |
| 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 | 8 | 2021 |
| 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 | 6 | 2022 |
| 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 | 4 | 2022 |
| Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? S Gladkoff, G Erofeev, L Han, G Nenadic arXiv preprint arXiv:2308.00158, 2023 | 3 | 2023 |
| Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce S Gladkoff, L Han, G Nenadic arXiv preprint arXiv:2303.04526, 2023 | 3 | 2023 |
| 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 CoRR, 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 |
| Meta-evaluation of translation evaluation methods: a systematic up-to-date overview L Han, S Gladkoff Tutorial at LREC2022, Marseille, France, 2022 | 2 | 2022 |
| 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 |
| 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 | 1 | 2024 |
| A case of application of a new human MT Quality Evaluation Metric in the EMT classroom P Charalampidou, S Gladkoff New Trends in Translation and Technology (NeTTT) Conference, 161-165, 2022 | 1 | 2022 |
| Application of an industry practical human MT output Quality Evaluation Metric in the EMT classroom P Charlampidou, S Gladkoff New Trends in Translation and Technology (NeTTT) Conference, Rhodes Island …, 2022 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 |
Lifeng HanThe University of ManchesterVerified email at manchester.ac.uk
