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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

Showing 151160 of 1773 papers

TitleStatusHype
Transfer Learning in Multilingual Neural Machine Translation with Dynamic VocabularyCode1
You May Not Need AttentionCode1
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Unsupervised Statistical Machine TranslationCode1
OpenNMT: Neural Machine Translation ToolkitCode1
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language InferenceCode1
XNMT: The eXtensible Neural Machine Translation ToolkitCode1
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMTCode1
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