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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 1371–1380 of 1773 papers

TitleStatusHype
Online Distilling from Checkpoints for Neural Machine Translation—0
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation—0
On Machine Translation of User Reviews—0
On NMT Search Errors and Model Errors: Cat Got Your Tongue?—0
On Search Strategies for Document-Level Neural Machine Translation—0
On Synthetic Data for Back Translation—0
On Target Representation in Continuous-output Neural Machine Translation—0
On the differences between BERT and MT encoder spaces and how to address them in translation tasks—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
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