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 1081–1090 of 1773 papers

TitleStatusHype
Character-based NMT with Transformer—0
Diversity by Phonetics and its Application in Neural Machine Translation—0
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBCode0
Language Model-Driven Unsupervised Neural Machine Translation—0
Translationese as a Language in "Multilingual" NMT—0
Pretrained Language Models for Document-Level Neural Machine Translation—0
Domain Robustness in Neural Machine TranslationCode0
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation—0
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding—0
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain MixingCode0
Show:102550
← PrevPage 109 of 178Next →

No leaderboard results yet.