Associate professor at Charles University. He has mostly worked in the field of machine translation (MT) since 2006, which encompasses practically everything from computational linguistics to software engineering and artificial intelligence. He created the hybrid system Chimera, which surpassed all rival systems in English-to-Czech translation from 2013 to 2015.

Chief Scientist at Omniscien Technologies, Research Scientist at Facebook, and Professor at Johns Hopkins University. He is a leader in the field of statistical machine translation research with over 100 publications. Under his leadership, the open source Moses system has become the standard toolkit for machine translation in research and commercial deployment. Koehn led international research projects such as Euromatrix and CASMACAT. He received a PHD in computer science and was a postdoctoral research associate at MIT.

Chief Scientist of Speech and Language Computing at Huawei Noah’s Ark Lab, he has a Ph.D. of Computer Science. He has been a professor and group director of Natural Language Processing and Machine Trnslation Group at Dublin City University.

Research Scientist/Engineer at Apple. Before that, he was a research student at Fondazione Bruno Kessler, where he focused on Automatic Post-Editing for Machine Translation.

Principal Scientist at BBN Technolgies for more than 50 years, his goal is to improve the state of the art in many areas of human language processing.

CTO of Translation and Senior Manager at IBM Research.

Chief Technology Officer at TextShuttle, Samuel is an expert of machine translation and human-computer interaction. He helds a PhD in Computational Linguistics (Machine Translation), and is currently a Teaching Associate at the Uninversity of Zurich.

Former Programme Manager of Microsoft Azure, now Product Manager of Google Cloud AI.

Sharon O’Brien has over 20 years of experience in translation studies and is a lecturer in translation technology and localization, among others. Her research interests include AI, translation as a form of human-computer interaction (HCI), and crisis communication.

Staff Machine Translation Language Manager at eBay, his main focus is on the Quality of Data for AI/Machine Learning, and the developing of original processes that improve data quality. Picinini is an expert in the localization and machine translation industry, with many years of experience in Language and Data Quality.

President of the Association for Machine Translation in the Americas, past president of the International Association of Machine Translation. Co-founder and former manager of Microsoft Translator. BYU Computer Science professor.

Founder and president of PROMT, an early machine translation company that is still active today. She and her company went through three generations of MT: Rule-based, Statistical, and Neural.

Senior Principal Researcher and managing the Deep and Reinforcement Learning group at Microsoft Research Asia. He is a senior member of ACM and IEEE, and an Adjunct Professor (PhD advisor) in the University of Science and Technology of China.
His team helped Microsoft achieve human parity in Chinese-English machine translation in 2018, won the first place for 8 translation tasks in WMT 2019, and built the world-best Mahjong AI, named Suphx, which achieved 10 DAN on the Tenhou platform in mid 2019.

Founder and CEO at XL8, a machine translation services provider. He has a PhD in computer science. He worked as Staff Software Engineer at Google for various years

Founder and principal architect at KantanMT, prominent cloud-based custom machine translation solutions provider. He is an entrepreneur with over 30 years of expertise in the localization industry. In April 2011, he founded xcelerator Ltd.  to develop web-based statistical machine translation software.

Senior Product Manager at Amazon AI, in charge of future evolution of NMT. He earned a Ph.D. in Mechanical Engineering and he worked in the field for 8 years. He spent 6 years at Microsoft before joining Amazon and working on the creation of a customer-based machine translation.