Facebook Engineering: A Novel Approach to Neural Machine Translation


RNNs are the incumbent technology for text applications such as machine translation and NLP, while CNNs they offer the advantage of computational efficiency (parallelizable) and the ability to capture complex relationships through hierarchical information processing. This is why FAIR started researching CNNs for machine translation, the fruit of that research is a state-of-the-art CNN based model that is nine times faster than traditional strong RNN models.


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