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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 921–930 of 1773 papers

TitleStatusHype
When and Why is Unsupervised Neural Machine Translation Useless?—0
When a `sport' is a person and other issues for NMT of novels—0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation—0
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators—0
Why Find the Right One?—0
Why Neural Machine Translation Prefers Empty Outputs—0
Word Alignment in the Era of Deep Learning: A Tutorial—0
Word Rewarding for Adequate Neural Machine Translation—0
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