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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 1241–1250 of 1773 papers

TitleStatusHype
What Role Does BERT Play in the Neural Machine Translation Encoder?—0
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation—0
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation—0
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
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