Neural Machine Translation

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Neural Machine Translation (NMT)

An NMT system uses Neural Networks to translate between languages, such as English and French. NMT systems can be trained end-to-end using bilingual corpora, which differs from traditional Machine Translation systems that require hand-crafted features and engineering. NMT systems are typically implemented using encoder and decoder recurrent neural networks that encode a source sentence and produce a target sentence, respectively. • Sequence to sequence learning with neural networks • Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation