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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
Hallucinations in neural machine translation—0
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation—0
Exploiting Deep Representations for Neural Machine Translation—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Optimizing Segmentation Granularity for Neural Machine Translation—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
Multi-Source Neural Machine Translation with Data Augmentation—0
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