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 321–330 of 1773 papers

TitleStatusHype
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationCode0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
A Tree-based Decoder for Neural Machine TranslationCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Context-aware Neural Machine Translation for English-Japanese Business Scene DialoguesCode0
Context-aware Neural Machine Translation with Mini-batch EmbeddingCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Show:102550
← PrevPage 33 of 178Next →

No leaderboard results yet.