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 1051–1060 of 1773 papers

TitleStatusHype
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Towards Making the Most of Context in Neural Machine TranslationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Incorporating BERT into Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
Translating Web Search Queries into Natural Language Questions—0
Neural Machine Translation System of Indic Languages -- An Attention based ApproachCode1
PMIndia -- A Collection of Parallel Corpora of Languages of IndiaCode1
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation—0
A Simple Baseline to Semi-Supervised Domain Adaptation for Machine TranslationCode1
Show:102550
← PrevPage 106 of 178Next →

No leaderboard results yet.