Dr Stephen Doherty
Dr Stephen Doherty is a Senior Lecturer in Linguistics, Interpreting, and Translation at the University of New South Wales (UNSW), Sydney, where he also directs the Language Processing Lab.
With a focus on psycholinguistics and language technologies, his research investigates human and machine language processing using natural language processing techniques and combinations of online and offline measures (task performance, eye tracking, psychometrics, and electroencephalography). His research has been funded by Science Foundation Ireland, the European Union, the Australian Research Council, the Federal Bureau of Investigation, the National Accreditation Authority for Translators and Interpreters, the University of New South Wales, and several industry collaborations.
Stephen teaches courses in translation technology, media translation, specialised translation, translation theory, and psycholinguistics. Through his expertise in translation technology, he has developed the first validated syllabus for statistical machine translation, which has been adopted into academic and industry courses across the globe.
Prior to his appointment at UNSW, Stephen held a doctoral and post-doctoral research position at the CNGL Centre for Global Intelligent Content in Dublin City University, a multi-million dollar, cross-institutional research centre. His subsequent post-doctoral position was based in the National Centre for Language Technology at Dublin City University as part of the QTLaunchPad project, a $3.5 million project funded by the European Union.
Stephen is an Associate Editor of Perspectives, the highest ranked journal in the discipline of translation studies (SJR/Scopus), and holds honorary appointments at Macquarie University and North-West University. He is also a founding member of the Asia-Pacific Translation and Cognition Research Group, a member of the New South Wales Government’s Language Services Advisory Forum, and an expert on Standards Australia’s committee for Translation, Interpreting, and Related Technology.
Stephen has worked with a wide range of research partners, including universities, government, and industry, and is keen to develop new collaborations.