Summer School on Neural
Sharon O’Brien is Professor of Translation Studies in the School of Applied Language and Intercultural Studies, Dublin City University, Ireland, where she teaches translation technology, localisation, and research methods, among other topics. Currently, she is coordinator of an interdisciplinary and inter-sectoral Horizon 2020-funded project on translation in emergency and disaster settings – INTERACT, The International Network in Crisis Translation (2017-2020). She has been a funded investigator in the Science Foundation Ireland national research centre, ADAPT, for over 10 years. Sharon has supervised twelve PhD students to date and has mentored several post-doctoral fellows.
Marcello Federico is a Principal Applied Scientist at Amazon AI since 2018. At Amazon AI, he works with and mentors applied scientists of the Amazon Translate team and leads a research project on speech translation . Since 2002, he has been a member of the ICT International Doctoral School’s Committee of the University of Trento where he still lectures. As an advisor, he supervised 14 Phd students most of which are now working in either European universities or companies such as Amazon, eBay, Facebook, Google and Interactions. His research expertise is in machine translation, spoken language translation, language modeling, information retrieval, and speech recognition. In these areas, he has co-authored over 200 scientific publications, contributed in 20 international and national projects, mostly as scientific leader, and co-developed open source software packages for machine translation (Moses) and language modeling (IRSTLM) used worldwide by research and industry.
Marco Turchi is the head of the machine translation unit at Fondazione Bruno Kessler (FBK). He received his PhD. degree in Computer Science from the U. of Siena, Italy in 2006. Before joining FBK in 2012, he worked at the European Commission Joint Research Centre, Italy, at the University of Bristol, at the Xerox Research Centre Europe, and at Yahoo Research Lab. His research activities focus on various aspects of sequence-to-sequence modelling applied to machine translation, speech translation and automatic post-editing. He is co-authored more than 140 scientific publications and served as a reviewer for international journals, conferences, and workshops. He is the co-organizer of the Conference of Machine Translation, the on Spoken Language Translation and of the automatic post-editing evaluation campaigns. He has been involved in several EU projects such as SMART, Matecat, ModernMT and QT21. He is the recipient of the Amazon AWS ML Research Awards on the topic of end-to-end spoken language translation in rich data conditions.