Constantin Orăsan
About me
- About meI am Professor of Language and Translation Technologies at the Centre of Translation Studies, University of Surrey. Before starting this role, I was Reader in Computational Linguistics at the University of Wolverhampton, UK, and the deputy head of the Research Group in Computational Linguistics at the same university. I have received my BSc in computer science at Babeș-Bolyai University, Cluj-Napoca, Romania in 1998 and was awarded my PhD from the University of Wolverhampton in 2006.
Selected recent publications
Constantin Orăsan and Ruslan Mitkov (2021) Recent developments in Natural Language Processing. In Mitkov, R. (ed.) The Oxford Handbook of Computational Linguistics. 2nd edition. doi: 10.1093/oxfordhb/9780199573691.013.005
Béchara, H., Orăsan, C., Parra Escartín, C., Zampieri, M. and Lowe, W. (2021) The Role of Machine Translation Quality Estimation in the Post-Editing Workflow, Informatics, 8(3), doi: 10.3390/informatics8030061
Tharindu Ranasinghe, Constantin Orăsan and Ruslan Mitkov (2020) TransQuest: Translation Quality Estimation with Cross-lingual Transformers. In Proceedings of the 28th International Conference on Computational Linguistics. Barcelona, Spain (Online), pp. 5070–5081, doi: 10.18653/v1/2020.coling-main.445
Saadany, H. and Orăsan, C. (2020). Is it great or terrible? Preserving sentiment in neural machine translation of arabic reviews. In Proceedings of the Fifth Arabic Natural Language Processing Workshop, 24–37. https://www.aclweb.org/anthology/2020.wanlp-1.3/
Constantin Orăsan (2019) Automatic summarisation: 25 years On. Journal of Natural Language Engineering. 25(6), pp. 735 – 751, doi:10.1017/S1351324919000524
Recent posts
- PyP4L: Week 2: Getting started with PythonThe plan for the second week is to start learning some basic Python notions. Before that, I usually introduce the notion of pseudocode as an easy way of describe how to solve problems. This allows me to discuss problems for which we do not have all the necessary programming background to implement them. I tend…
- PyP4L: Week 1The plan for the first lecture is to get the course started. Usually I use this first lecture to introduce the course, schedule, assessments, etc and make sure all the students are able to run python on their computers or the computers from university. I introduce Python, the notion of problem solving and reading from…
- PyP4L: How to see the slidesThe majority of the materials in this course are made using Jupyter Notebooks, even the slides. I will explain in another post how I prepare the slides. Meanwhile, this post is to help you if you are struggling to navigate the slides.