26-28 November, 2019, Vilnius

Conference is over! See you next year.

John Ortega

New York University, USA

Biography

John is currently a Senior Natural Language Processing Research Engineer at Blackboard Insurance (an AIG company) with research interests in the areas of machine learning, machine translation, and computer-assisted coding. He also serves as an adjunct computer science instructor and researcher at New York University.
John has started and exited two companies and is actively advising on technical issues as well as worked as a contract Senior Architect and Software Developer which he has done for companies such as WebMD, Clear Channel (IHeart Radio), Creative Virtual, Buongiorno, and others. He possesses more than 15 years of overall software, system, sales, and marketing experience. In addition to industry knowledge, John has deep academic knowledge and has published many works both for IP and academic purposes.
His current areas of research are in Machine Learning, Big Data, Natural Language Processing and Machine Translation. He holds a B.S. in Computer Science from Augusta State University, a M.S. in Computer Science from Hofstra University, and is defending a Ph.D. in Computer Science (Machine Translation) from the University of Alicante.

Talk

How can Artificial Intelligence use Big Data for Translating Documents?

In this session, John will walk us through the exciting world of machine translation. Specifically, he will show us how documents, known as corpora, filled with information from various sources can be used to provide artificial intelligence to a translation system. He will cover the evolution of statistical and neural-based translation systems and how they are currently used to achieve a superior translation quality compared to their predecessors. Big Data, Artificial Intelligence, and Machine Learning architectures will be the highlight of the presentation via a technique called transfer learning. This will be an awesome presentation for those wanting to see how it all fits together!

Session Keywords

Translation
Data Science
Machine Learning

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