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

Showing 15611570 of 1773 papers

TitleStatusHype
Can Neural Machine Translation be Improved with User Feedback?0
Guiding Neural Machine Translation with Retrieved Translation Pieces0
Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts0
Fine-Grained Attention Mechanism for Neural Machine Translation0
Joint Training for Neural Machine Translation Models with Monolingual Data0
Turning NMT Research into Commercial Products0
Training, feedback and productivity measurement with NMT and Adaptive MT0
SMT versus NMT: Preliminary comparisons for Irish0
Gender Aware Spoken Language Translation Applied to English-Arabic0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Show:102550
← PrevPage 157 of 178Next →

No leaderboard results yet.