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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 1231–1240 of 1773 papers

TitleStatusHype
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task—0
Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration—0
Variational Neural Machine Translation with Normalizing Flows—0
Variational Recurrent Neural Machine Translation—0
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
Visualizing and Understanding Neural Machine Translation—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
What Level of Quality can Neural Machine Translation Attain on Literary Text?—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
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