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 1581–1590 of 1773 papers

TitleStatusHype
Decoding with Value Networks for Neural Machine Translation—0
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches—0
Modeling Past and Future for Neural Machine TranslationCode0
Learning to Remember Translation History with a Continuous CacheCode0
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMTCode1
Syntax-Directed Attention for Neural Machine Translation—0
Synthetic and Natural Noise Both Break Neural Machine TranslationCode0
Towards Neural Machine Translation with Partially Aligned Corpora—0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder—0
NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project—0
Show:102550
← PrevPage 159 of 178Next →

No leaderboard results yet.