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:
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