Since May 2015, Tsujii has been the director of the Artificial Intelligence Research Center at the National Institute of Advanced Industrial Science and Technology, Japan. Tsujii is also the Principal Researcher at Microsoft Research Asia (MSRA).

Lecturer at the University of Edinburgh, Kenneth is an expert of fast and high-quality machine translation and makes fast natural language processing. He wrote the KenLM toolkit for language modeling.

Senior Research Scientist at Google, Kishore leads the Coauthor team whose objective is cross-lingual cross-modal access to dynamically organized information.
Prior to joining Google, he led machine learning at Yahoo! Research and machine translation at IBM Research. He is a coauthor of the BLEU metric for automatic evaluation of machine translation quality.

CEO of Intento, consolidator and disruptor to the MT space, biggest change since NMT. He received a PhD in Computer Science in 2008, aftere which he focused his efforts on the development of online content services.

Worked as the Head of the Machine Translation team at Acolad in 2017 – 2022. Lamis has a background in Computational Linguistics and has been working in the localization industry for several years, focusing on MT technology and quality.

Webinar: Managing Machine Translation Teams.

Creative profile on SoundCloud

Longyue is a researcher at Tencent AI Lab. In 2018, he got his Ph.D. degree in Computer Applications. Longyue has studied and practiced in a broad field of natural language processing (NLP) including Chinese word segmentation, named entity, discourse parsing, grammatical error correction and machine translation. Currently, his research interests are neural machine translation (NMT) including discourse awareness, domain adaptation, and representation learning. He has published over 50 papers in leading NLP journals and conferences such as ICLR, ACL, EMNLP, NAACL.

Founder and Chief Scientist at conteX.ai, PHD in Computer science & Professor at Imperial College London. She has published more than 200 papers in the most prestigious conferences and journals in Natural Language Processing, Computer Vision and Artificial Intelligence. Her research focuses on various aspects of data-driven approaches to language processing, with a particular interest in multimodal and multilingual context models and work at the intersection of language and vision

Professor of Translation at the University of Ottawa, Canadian linguist Lynne Bowker has earned distinction as a Fellow of the Royal Society of Canada. Her most recent project is the Machine Translation Literacy Project, which aims to raise awareness of the ‘conscious’ use of Machine Translation, in order to maximize its effectiveness.

CEO & founder of Pangeanic and founding member of TAUS. He is an experienced implementor of machine translation (MT) technologies at LSPs.

Principal Applied Scientist at Amazon AI, he leads a research project on automatic dubbing and oversees the science work behind the Amazon Translate service. He is a visiting researcher at Fondazione Bruno Kessler and a lecturer at University of Trento. His research expertise focuses on automatic dubbing, machine translation, speech translation, language modeling, information retrieval, and speech recognition. In these areas, he co-authored more than 200 scientific publications, contributed in international and national projects and co-developed open source software packages for machine translation (Moses) and language modeling (IRSTLM) used worldwide by research and industry. He has been a board member of the European Association for Machine Translation (chair of EAMT 2012), founding officer of the ACL SIG on Machine Translation. He co-founded MateCat.

Creator of MarianNMT. Principle Research Scientist for Microsoft Translator since 2018. His main research interests are neural machine translation, automatic post-editing and grammatical error correction. Before joining Microsoft, he was an Assistant Professor at the Adam Mickiewicz University in Poznan, Poland, and a visiting researcher in the MT group at the University of Edinburgh. He also collaborated with the World Intellectual Property Organization and the United Nations, helping with the development of their in-house statistical and neural machine translation systems.

Co-founder of Translated. Pioneered the use of artificial intelligence in collaboration with professional translators. Today, besides being responsible for the overall administration of Translated, Marco is pursuing research in machine learning models for integrating machine translation in a human translation workflow.

Head of the machine translation unit at Zoom with a PhD Computer Science. He led the MT team at Fondazione Bruno Kessler for various years, focusing his research activities on various aspects of sequence-to-sequence modelling applied to machine translation, speech translation and automatic post-editing. Marco is the co-organizer of the Conference of Machine Translation. He has worked on a number of EU projects, including EU projects such as SMART, Matecat, ModernMT and QT21. He was the recipient of the Amazon AWS ML Research Awards on the topic of end-to-end spoken language translation in rich data conditions.

Applied Scientist at AWS AI Services working on Amazon Translate. Before that, she worked at Grammarly where she focused on the developed of machine learning and deep learning applications that improve written communication. Maria’s interests are in languages and machine translation. She graduated with a PhD from the University of Edinburgh, as part of ILCC’s Machine Translation Group where she was at the forefront of research on machine translation.

Associate Professor in Computer Science at the University of Maryland, Marine works on machine translation and natural language processing. She is known for her research connecting cross-lingual semantics with machine translation and has been recognized with a NSF Career Award in 2018, a Google Research award in 2016, and Amazon Faculty Awards in 2016 and 2018.

General Manager of Language Weaver in RWS Group, Managing Director of AI and Machine Translation. He has extensive expertise creating and selling Machine Learning in the Cybersecurity industry and was instrumental in creating new ventures and bringing new products to market across industries including advertising, and telecommunications.

One of the founders of Prompsit Language Engineering, a company that specializes in machine translation and other language technologies, where he currently helds the position of Chief Research Officer. He is a professor, researcher in the field of machine translation and translation technologiesand and technology advisor. Mikel is the current president of the European Association for Machine Translation and a Full Professor at the Universitat d’Alacant

CEO of AppTek, a pioneer company in Machine Translation, Automatic Speech Recognition, Machine Learning, and Natural Language Processing. He supervised the development of speech and translation systems for some governments. In addition, big commercial customers such as ebay and Zoom used AppTek’s language packages of machine translation and live automatic transcriptions in their platforms.

Sr. Analytics Scientist at Ford Motor Company. He is responsible for Machine Learning and Artificial Intelligence Analytics for Global Data and the development and implementation of Machine Translation for vehicle assembly at Ford. He holds a PHD and worked as an adjunct professor at Lawrence Technological University in Southfield where he taught classes in AI, Intelligent Control and Data Mining.

Olga is a global expert and leader of AI & MT at Smartling. She spent more than 5 years leading the AI Innovation team at Welocalize. Under her guidance, machine translation adoption increased across the whole translation and localization industry. Starting her career very early with rule-based systems at PROMT, Olga has become a frequent presenter at AI conferences. In 2016, she served as the president of the Association for Machine Translation in the Americas