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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 731–740 of 1773 papers

TitleStatusHype
Language Models are Good Translators—0
Phrase-level Active Learning for Neural Machine Translation—0
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation—0
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation—0
Towards User-Driven Neural Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
Translate, then Parse! A strong baseline for Cross-Lingual AMR ParsingCode0
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation—0
On the Language Coverage Bias for Neural Machine Translation—0
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