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 1691–1700 of 1773 papers

TitleStatusHype
Learning to Parse and Translate Improves Neural Machine TranslationCode0
Neural Machine Translation with Source-Side Latent Graph Parsing—0
Beam Search Strategies for Neural Machine Translation—0
Ensemble Distillation for Neural Machine Translation—0
Multilingual Multi-modal Embeddings for Natural Language Processing—0
Predicting Target Language CCG Supertags Improves Neural Machine Translation—0
Incorporating Global Visual Features into Attention-Based Neural Machine Translation—0
QCRI Machine Translation Systems for IWSLT 16—0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation—0
Towards Decoding as Continuous Optimization in Neural Machine Translation—0
Show:102550
← PrevPage 170 of 178Next →

No leaderboard results yet.