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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 251–260 of 1773 papers

TitleStatusHype
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translation with Contrastive Translation MemoriesCode1
Improving Simultaneous Machine Translation with Monolingual DataCode1
Word Alignment in the Era of Deep Learning: A Tutorial—0
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic ParsingCode0
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
Rank-One Editing of Encoder-Decoder Models—0
MarianCG: a code generation transformer model inspired by machine translationCode1
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
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