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 Bio
• What is Machine Translation?
• Adequacy & Fluency
• How to Quantify the performance of Machine Translation models
• The Transition from Statistical approaches to using Neural Networks for translation
• Validating Outputs of models
• What 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