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 871–880 of 1773 papers

TitleStatusHype
Revisiting Modularized Multilingual NMT to Meet Industrial Demands—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Generating Diverse Translation from Model Distribution with Dropout—0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
Show:102550
← PrevPage 88 of 178Next →

No leaderboard results yet.