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 1761–1770 of 1773 papers

TitleStatusHype
Syntactically Guided Neural Machine Translation—0
Coverage Embedding Models for Neural Machine Translation—0
Transfer Learning for Low-Resource Neural Machine TranslationCode0
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsCode0
Tree-to-Sequence Attentional Neural Machine TranslationCode0
Modeling Coverage for Neural Machine TranslationCode0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Stanford Neural Machine Translation Systems for Spoken Language DomainsCode0
Improving Neural Machine Translation Models with Monolingual DataCode1
Neural Machine Translation of Rare Words with Subword UnitsCode1
Show:102550
← PrevPage 177 of 178Next →

No leaderboard results yet.