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 1281–1290 of 1773 papers

TitleStatusHype
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Self-Supervised Neural Machine TranslationCode0
Sentence-Level Agreement for Neural Machine Translation—0
Look Harder: A Neural Machine Translation Model with Hard Attention—0
On the Word Alignment from Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Saliency-driven Word Alignment Interpretation for Neural Machine TranslationCode0
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models—0
Incremental Adaptation of NMT for Professional Post-editors: A User Study—0
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair—0
Show:102550
← PrevPage 129 of 178Next →

No leaderboard results yet.