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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 221–230 of 1773 papers

TitleStatusHype
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Addressing the Rare Word Problem in Neural Machine TranslationCode0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
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