Philipp Koehn (Part 1) - How Neural Networks Have Transformed Machine Translation

Professor Philipp Koehn of Johns Hopkins University discusses the evolution of machine translation and the fundamentals for using Neural Networks to deliver Machine translation.Episode Summary:Philipp Koehn BioWhat is Machine Translation?Adequacy & FluencyHow to Quantify the performance of Machine Translation modelsThe Transition from Statistical approaches to using Neural Networks for translationValidating Outputs of modelsWhat can go wrong with Machine Translation?Resources: Philipp Koehn latest book - Neural Machine Translation - Amazon link: https://www.amazon.com/Neural-Machine-Translation-Philipp-Koehn/dp/1108497322

Om Podcasten

Welcome to the Data Science Conversations Podcast hosted by Damien Deighan and Dr Philipp Diesinger. We bring you interesting conversations with the world’s leading Academics working on cutting edge topics with potential for real world impact. We explore how their latest research in Data Science and AI could scale into broader industry applications, so you can expand your knowledge and grow your career. Every 4 or 5 episodes we will feature an industry trailblazer from a strong academic background who has applied research effectively in the real world. Podcast Website: www.datascienceconversations.com