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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 1211–1220 of 1773 papers

TitleStatusHype
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
Unraveling Key Factors of Knowledge Distillation—0
Unsupervised Extraction of Partial Translations for Neural Machine Translation—0
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
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