Facebook: Transitioning Entirely to Neural Machine Translation


...we recently switched from using phrase-based machine translation models to neural networks to power all of our backend translation systems, which account for more than 2,000 translation directions and 4.5 billion translations each day.

State of the art work on translation at scale. Worth a read even if you're not directly working with NLP just to stay up-to-date on what is now achievable.


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