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 501–510 of 1773 papers

TitleStatusHype
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Show:102550
← PrevPage 51 of 178Next →

No leaderboard results yet.