Rate My Professor Constantin Orasan

Key publications include 'Recent Developments in Natural Language Processing' in The Oxford Handbook of Computational Linguistics (2021, with Ruslan Mitkov), 'TransQuest: Translation Quality Estimation with Cross-lingual Transformers' in Proceedings of the 28th International Conference on Computational Linguistics (2020, with Tharindu Ranasinghe and Ruslan Mitkov), 'What do Large Language Models Need for Machine Translation Evaluation?' in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (2024, with Shenbin Qian et al.), 'Employing AI for Better Access to Justice: An Automatic Text-to-Video Linking Tool for UK Supreme Court Hearings' in Applied Sciences (2025, with Hadeel Saadany et al.), and 'Quality-related aspects' in The Routledge Handbook of Interpreting, Technology and AI (2025, with Elena Davitti et al.). He has supervised over 20 PhD theses on topics such as machine translation quality estimation, text accessibility, interpreting with automatic speech recognition, and sentiment translation. Orasan leads major projects including EmpASR (AHRC-funded), HarnessingNLP4Court (UKRI-funded), EXPERT (EU FP7 ITN), FIRST (EU FP7), and an EPSRC-funded project on terminology-aware machine translation for accessible science; he also co-directs the ADA Leverhulme Doctoral Scholarships Network. His team received the Best System award in the WMT QE Shared Task 2020.