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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 751–760 of 1773 papers

TitleStatusHype
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction—0
Improving NMT Quality Using Terminology Injection—0
Improving NMT via Filtered Back Translation—0
Improving Robustness in Real-World Neural Machine Translation Engines—0
CUNI Transformer Neural MT System for WMT18—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Explicit Reordering for Neural Machine Translation—0
InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation—0
Improving the Robustness of Speech Translation—0
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems—0
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