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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 1761–1770 of 1773 papers

TitleStatusHype
Unsupervised Neural Machine Translation with SMT as Posterior RegularizationCode0
On Creating an English-Thai Code-switched Machine Translation in Medical DomainCode0
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBCode0
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword CandidatesCode0
Contextual Neural Machine Translation Improves Translation of Cataphoric PronounsCode0
Machine Translation Models are Zero-Shot Detectors of Translation DirectionCode0
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationCode0
Machine Translation of Novels in the Age of TransformerCode0
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine TranslationCode0
Revisiting Low-Resource Neural Machine Translation: A Case StudyCode0
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