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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 1111–1120 of 1773 papers

TitleStatusHype
Language Model-Driven Unsupervised Neural Machine Translation—0
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBCode0
Domain Robustness in Neural Machine TranslationCode0
Pretrained Language Models for Document-Level Neural Machine Translation—0
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation—0
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain MixingCode0
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation—0
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding—0
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)—0
On Compositionality in Neural Machine Translation—0
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