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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 1551–1560 of 1773 papers

TitleStatusHype
Can Neural Machine Translation be Improved with User Feedback?—0
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation—0
Guiding Neural Machine Translation with Retrieved Translation Pieces—0
Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts—0
Fine-Grained Attention Mechanism for Neural Machine Translation—0
Training, feedback and productivity measurement with NMT and Adaptive MT—0
SMT versus NMT: Preliminary comparisons for Irish—0
Turning NMT Research into Commercial Products—0
Joint Training for Neural Machine Translation Models with Monolingual Data—0
XNMT: The eXtensible Neural Machine Translation ToolkitCode1
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