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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 1701–1710 of 1773 papers

TitleStatusHype
Incorporating Global Visual Features into Attention-Based Neural Machine Translation—0
QCRI Machine Translation Systems for IWSLT 16—0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation—0
Towards Decoding as Continuous Optimization in Neural Machine Translation—0
OpenNMT: Open-Source Toolkit for Neural Machine TranslationCode0
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English—0
Joint Prediction of Word Alignment with Alignment Types—0
Fast Domain Adaptation for Neural Machine Translation—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Domain Control for Neural Machine Translation—0
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