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 1071–1080 of 1773 papers

TitleStatusHype
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
Inducing Grammars with and for Neural Machine Translation—0
Inference-only sub-character decomposition improves translation of unseen logographic characters—0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model—0
INMIGRA3: building a case for NGOs and NMT—0
Insights from Gathering MT Productivity Metrics at Scale—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Integrating Pre-trained Language Model into Neural Machine Translation—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
Show:102550
← PrevPage 108 of 178Next →

No leaderboard results yet.