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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1721–1730 of 1773 papers

TitleStatusHype
A Character-Aware Encoder for Neural Machine Translation—0
Residual Stacking of RNNs for Neural Machine Translation—0
Faster and Lighter Phrase-based Machine Translation Baseline—0
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation—0
A study of attention-based neural machine translation model on Indian languages—0
Neural Clinical Paraphrase Generation with Attention—0
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder—0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Neural Machine Translation with ReconstructionCode0
Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration—0
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