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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 1431–1440 of 1773 papers

TitleStatusHype
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
Hallucinations in Neural Machine Translation—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task—0
NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
Multilingual Extractive Reading Comprehension by Runtime Machine TranslationCode0
Towards one-shot learning for rare-word translation with external experts—0
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