An NMT system uses Neural Networks to translate between languages, such as English and French. 1 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