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 1451–1460 of 1773 papers

TitleStatusHype
Correcting Length Bias in Neural Machine Translation—0
Revisiting Character-Based Neural Machine Translation with Capacity and Compression—0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
A Tree-based Decoder for Neural Machine TranslationCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
Contextual Parameter Generation for Universal Neural Machine TranslationCode0
Meta-Learning for Low-Resource Neural Machine Translation—0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation—0
Style Transfer as Unsupervised Machine Translation—0
Show:102550
← PrevPage 146 of 178Next →

No leaderboard results yet.