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 541–550 of 1773 papers

TitleStatusHype
Comparing a Hand-crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation—0
Comparative Evaluation of NMT with Established SMT Programs—0
A Survey of Domain Adaptation for Neural Machine Translation—0
Communication-Efficient Federated Learning for Neural Machine Translation—0
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation—0
Domain Adaptive Inference for Neural Machine Translation—0
Combining Word and Character Vector Representation on Neural Machine Translation—0
All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation—0
Combining Translation Memory with Neural Machine Translation—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
Show:102550
← PrevPage 55 of 178Next →

No leaderboard results yet.