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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 451–460 of 1773 papers

TitleStatusHype
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out TrainingCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Domain Robustness in Neural Machine TranslationCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Dynamic Data Selection for Neural Machine TranslationCode0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
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