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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 1561–1570 of 1773 papers

TitleStatusHype
Gender Aware Spoken Language Translation Applied to English-Arabic—0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game—0
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation—0
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksCode1
Variational Recurrent Neural Machine Translation—0
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
What Level of Quality can Neural Machine Translation Attain on Literary Text?—0
Improved English to Russian Translation by Neural Suffix Prediction—0
Translating Pro-Drop Languages with Reconstruction ModelsCode0
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