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 941–950 of 1773 papers

TitleStatusHype
Zero-Shot Translation using Diffusion Models—0
Neural Machine Translation with Recurrent Highway Networks—0
FFR v1.1: Fon-French Neural Machine Translation—0
Filtering Back-Translated Data in Unsupervised Neural Machine Translation—0
Finding Sami Cognates with a Character-Based NMT Approach—0
Findings of the Fourth Workshop on Neural Generation and Translation—0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing—0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Fine-Grained Attention Mechanism for Neural Machine Translation—0
Show:102550
← PrevPage 95 of 178Next →

No leaderboard results yet.