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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 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
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By Damien Deighan and Philipp DiesingerProfessor 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