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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
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016—0
Factored Neural Machine Translation Architectures—0
Ensemble Learning for Multi-Source Neural Machine Translation—0
UFAL Submissions to the IWSLT 2016 MT Track—0
Neural Clinical Paraphrase Generation with Attention—0
Multilingual Disfluency Removal using NMT—0
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation—0
Residual Stacking of RNNs for Neural Machine Translation—0
Topic-Informed Neural Machine Translation—0
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