Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

E260052 UNEXPLORED

"Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation" is a seminal research paper that introduced the RNN encoder–decoder architecture to learn continuous phrase representations for improving statistical machine translation quality.

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Quoc V. Le → coAuthorOf → Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation →