The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Mia Xu ChenOrhan FiratAnkur BapnaMelvin JohnsonWolfgang MachereyGeorge FosterLlion JonesNiki ParmarMike SchusterZhifeng ChenYonghui WuMacduff Hughes

   Papers with code   Abstract  PDF

The past year has witnessed rapid advances in sequence-to-sequence (seq2seq) modeling for Machine Translation (MT). The classic RNN-based approaches to MT were first out-performed by the convolutional seq2seq model, which was then out-performed by the more recent Transformer model... (read more)

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