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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 71–80 of 1773 papers

TitleStatusHype
Sequence-Level Training for Non-Autoregressive Neural Machine TranslationCode1
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine TranslationCode1
On Compositional Generalization of Neural Machine TranslationCode1
Fast Nearest Neighbor Machine TranslationCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Adaptive Nearest Neighbor Machine TranslationCode1
Selective Knowledge Distillation for Neural Machine TranslationCode1
Prevent the Language Model from being Overconfident in Neural Machine TranslationCode1
Neural Machine Translation with Monolingual Translation MemoryCode1
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine TranslationCode1
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