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 991–1000 of 1773 papers

TitleStatusHype
Rewriter-Evaluator Architecture for Neural Machine Translation—0
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation—0
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts—0
Robust Neural Machine Translation with Doubly Adversarial Inputs—0
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding—0
RTM results for Predicting Translation Performance—0
SALTED: A Framework for SAlient Long-Tail Translation Error Detection—0
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task—0
Sarah's Participation in WAT 2019—0
Scalable Transformers for Neural Machine Translation—0
Show:102550
← PrevPage 100 of 178Next →

No leaderboard results yet.