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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 561–570 of 1773 papers

TitleStatusHype
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task—0
Adversarial Neural Machine Translation—0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars—0
Controllable Dual Skew Divergence Loss for Neural Machine Translation—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Dual Past and Future for Neural Machine Translation—0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
Adversarial Grammatical Error Correction—0
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