SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1171–1180 of 1773 papers

TitleStatusHype
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Novel Applications of Factored Neural Machine Translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation—0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation—0
On Leveraging the Visual Modality for Neural Machine Translation—0
Machine Translation for Machines: the Sentiment Classification Use Case—0
When and Why is Document-level Context Useful in Neural Machine Translation?Code0
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation—0
Interrogating the Explanatory Power of Attention in Neural Machine TranslationCode0
On the use of BERT for Neural Machine Translation—0
Show:102550
← PrevPage 118 of 178Next →

No leaderboard results yet.