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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 1121–1130 of 1773 papers

TitleStatusHype
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
On the Relation between Position Information and Sentence Length in Neural Machine Translation—0
On the Linguistic Representational Power of Neural Machine Translation Models—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
Analysing concatenation approaches to document-level NMT in two different domains—0
Recycling a Pre-trained BERT Encoder for Neural Machine Translation—0
CMU’s Machine Translation System for IWSLT 2019—0
Idiap NMT System for WAT 2019 Multimodal Translation Task—0
Combining Translation Memory with Neural Machine Translation—0
Unsupervised Neural Machine Translation with Future Rewarding—0
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