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 1201–1210 of 1773 papers

TitleStatusHype
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation—0
Memory-augmented Chinese-Uyghur Neural Machine Translation—0
Memory-augmented Neural Machine Translation—0
Memory-enhanced Decoder for Neural Machine Translation—0
Merging External Bilingual Pairs into Neural Machine Translation—0
Meta Back-translation—0
Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 2020—0
Meta-Learning for Few-Shot NMT Adaptation—0
Meta-Learning for Low-Resource Neural Machine Translation—0
Meta-Learning for Low-Resource Neural Machine Translation—0
Show:102550
← PrevPage 121 of 178Next →

No leaderboard results yet.