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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 371–380 of 1773 papers

TitleStatusHype
SALTED: A Framework for SAlient Long-Tail Translation Error Detection—0
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation—0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
Unifying the Convergences in Multilingual Neural Machine TranslationCode1
Training Mixed-Domain Translation Models via Federated Learning—0
The Implicit Length Bias of Label Smoothing on Beam Search Decoding—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
Quality-Aware Decoding for Neural Machine TranslationCode1
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