Author of the publication

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation.

, and . LREC, page 13-21. European Language Resources Association, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Measuring Uncertainty in Translation Quality Evaluation (TQE)., , , and . LREC, page 1454-1461. European Language Resources Association, (2022)Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce., , and . RANLP, page 419-428. INCOMA Ltd., Shoumen, Bulgaria, (2023)Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It., , , , and . WMT, page 908-919. Association for Computational Linguistics, (2022)cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE., , , and . WMT@EMNLP, page 1014-1023. Association for Computational Linguistics, (2021)AISE: A Prototype Laboratory for Musical Research and the Development of Conceptual Tools., , and . ICMC, Michigan Publishing, (1984)HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation., and . LREC, page 13-21. European Language Resources Association, (2022)Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning., , , , , and . Frontiers Digit. Health, (2024)Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning., , , , and . ClinicalNLP@ACL, page 31-40. Association for Computational Linguistics, (2023)MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs., , , , and . EAMT (1), page 337-346. European Association for Machine Translation (EAMT), (2024)The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control., , , , , , , , , and 3 other author(s). AMTA (2), page 75-94. Association for Machine Translation in the Americas, (2024)