Area: Science
Type:
Position: Professor
Professor of Computer Science of Carnegie Mellon University and the Karlsruhe Institute of Technology. A widely recognized expert in the fields of spoken language translation systems, AI, and multimodal interfaces. He has founded or co-founded more than 10 startups, some being acquired by companies such as Facebook and Zoom.
Area: Business
Type: Buy Side
Position: Director
Senior AI director at Smartling, Alex is a globalization/localization veteran with high expertise in various areas, from machine translation to content management, i18n, and L10n engineering. He holds a PhD in Slavic languages and literature from Brown University and is a frequent contributor to industry conferences and journals.
Area: Science
Type:
Position: Engineer
Officially listed as one of the top NLP engineers in the world, Alexandra heads Aveni Labs and is also a senior research fellow at the department of informatics of the University of Edinburgh School of Informatics. She developed a worldwide adopted method in Neural Machine Translation, which is currently standard practice in the field.
Area: Business
Type:
Position:
VP of Language Technologies at Unbabel, where he leads the US AI Lab, he is the former president of AMTA and IAMT, and one of Amazon’s MT pioneers. Lavie is an expert on MT evaluation technology and methodology. He led the development of the METEOR automated MT evaluation metric, and more recently of the neural metric COMET and quality analysis tool MT-Telescope. He is a now a Consulting (adjunct) professor at CMU.
Area: Business
Type:
Position: Director
Product Manager at SAP, she is responsible for the machine translation product and collaboration with SAP’s translation suppliers. She has been working in the localization and translation industry for many years, focusing on Machine Translation, Project Management, CAT tools, and Proofreading.
Area: Business
Type:
Position: CEO
Co-founder and Executive Chairman of a leading European language technology, Tilde, specializing in machine translation and other AI-based technologies for complex languages. Andrejs was the coordinator of the EU eContent project EuroTermBank and a board member of the Multilingual Europe Technology Alliance META-NET. He has received a PhD in Computer Sciences from the University of Latvia.
Andrejs has authored more than 50 research papers on terminology management, machine translation, natural language processing.
Area: Science
Type:
Position: Professor
Full Professor at Dublin City University and Deputy Director of the ADAPT Centre for Digital Content Technology. He has been selected as the winner of the Award of Honor from International Association for Machine Translation (IAMT). He was the Director of Machine Translation at Lingo24, as well as the President of the International Association for Machine Translation and the European Association for Machine Translation, and the Editor of the Machine Translation Journal. He has a long list of peer-reviewed conference and journal papers on a variety of topics related to machine translation.
Area: Science
Type: Big tech
Position: Researcher
Research scientist at Meta AI Research in New York. Angela did her PhD on text generation at LORIA in Nancy, France, advised by Chloe Braud, Antoine Bordes, and Claire Gardent. Currently, Angela focuses on improving low-resource machine translation quality for hundreds of languages.
Area: Business
Type:
Position: Director
Director, Machine Translation Strategy at TransPerfect and PHD in translation technologies and user needs. She worked as a Senior MT Implementation Manager at Transperfect. In this role, she was responsible for designing and implementing MT solutions for TransPerfect clients.
Area: Business
Type: Big tech
Position: Engineer
Co-founder of Microsoft Translator and Microsoft Distinguished Engineer, he has been the driving force of MT at Microsoft. He has over 30 years of deep experience in computer science, software development, and over 20 years in natural language processing and artificial intelligence.
Area: Science
Type:
Position: Professor
Dorr was president of the Association for Computational Linguistics for 2008. She has been a Sloan Research Fellow and National Science Foundation Presidential Faculty Fellow. She was elected as a Fellow of the Association for the Advancement of Artificial Intelligence in 2013 for “significant contributions to natural language understanding and representation, and development of the widely recognized methods for interlingual machine translation”. In 2016 she was elected as a Fellow of the Association for Computational Linguistics.
Area: Business
Type:
Position: Engineer
Head of the Advanced Technology Application Center in the World Intellectual Property Organization (WIPO), where he is in charge of implementing and exploring machine learning techniques for intellectual property applications. He has published over 60 research papers in the field of computational linguistics. He also helped WIPO develop an NMT system, which is now in place and in use in a number of UN agencies and patent offices.
Area: Science
Type:
Position: Professor
An associate professor of Computer and Information Science at the University of Pennsylvania. Before joining Penn, he was a research faculty member at the Center for Language and Speech Processing at Johns Hopkins University for 6 years. Sloan Research Fellow, he received faculty research awards from Google, Microsoft, Amazon and Facebook. His research interests include natural language processing and crowdsourcing.
Area: Business
Type:
Position: Director
Retired Group Program Manager of Azure Language Services, he was responsible for its planning and designing, including Microsoft’s machine translation services. Wendt graduated as Diplom-Informatiker from the University of Hamburg and later focused his efforts on software internationalization within a variety of Microsoft products. He has now founded his own consultancy for customers interested in modernizing their translation processes.
Area: Science
Type: Big tech
Position: Researcher
Principal Research Manager at Microsoft. He is working with the Microsoft Translator team. His main research interests are human evaluation for machine translation, and other quality metrics for MT. He was part of the original Skype Translator team and have contributed to the Microsoft Translator apps, and Presentation Translator.
Area: Business
Type:
Position: Director
Machine translation lead of Electronic Arts and one of the first localization specialists to roll out a large-scale machine translation program on the buy-side. Under her guidance, gaming giant Electronic Arts became a pioneer in machine translation adoption.
Area: Business
Type:
Position: Director
Former Chief Innovation Officer at Memsource (now Phrase). He is the leader behind Phrase’s pioneer machine translation quality estimation features and routing. Four years after joining Memsource in 2011, Dalibor established the artificial intelligence department.
Area: Science
Type: Big tech
Position: Director
Director at Amazon, Daniel is recognized as a leading authority in natural language processing and successful entrepreneur. He has co-authored an MIT Press book, more than 100 peer-reviewed articles and 30 USPTO patents. He is a Fellow of the Association for Computational Linguistics for significant contributions to discourse parsing, summarization and machine translation and for kick starting the statistical machine translation industry.
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