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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
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Improving NMT via Filtered Back Translation—0
Improving Robustness in Real-World Neural Machine Translation Engines—0
Improved Neural Machine Translation using Side Information—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Correcting Length Bias in Neural Machine Translation—0
Improved English to Russian Translation by Neural Suffix Prediction—0
Improving the Robustness of Speech Translation—0
Improved English to Hindi Multimodal Neural Machine Translation—0
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