Facebook Transitioning Entirely to Neural Machine Translation

code.facebook.com

Facebook recently switched from using phrase-based machine translation models to neural networks to power their entire backend translation systems, which account for more than 2,000 translation directions and 4.5 billion translations each day. This post describes how they went about implementing the system including parameter tuning using FBLearner Flow and scaling with Caffe2.

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