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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 1411–1420 of 1773 papers

TitleStatusHype
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Phrase-Based \& Neural Unsupervised Machine Translation—0
Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 2018—0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Multi-Domain Neural Machine Translation with Word-Level Domain Context DiscriminationCode0
Using Spoken Word Posterior Features in Neural Machine Translation—0
Neural Speech Translation at AppTek—0
Multi-encoder Transformer Network for Automatic Post-Editing—0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018—0
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