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 71–80 of 1773 papers

TitleStatusHype
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Document-level grammatical error correctionCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
Fast Nearest Neighbor Machine TranslationCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Improving Multilingual Translation by Representation and Gradient RegularizationCode1
Show:102550
← PrevPage 8 of 178Next →

No leaderboard results yet.