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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 891–900 of 1773 papers

TitleStatusHype
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation—0
Unsupervised Neural Machine Translation with Future Rewarding—0
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation—0
Unsupervised Pivot Translation for Distant Languages—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation—0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation—0
Usefulness of Emotional Prosody in Neural Machine Translation—0
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