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 281–290 of 1773 papers

TitleStatusHype
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Attention Forcing for Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
A Tree-based Decoder for Neural Machine TranslationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Show:102550
← PrevPage 29 of 178Next →

No leaderboard results yet.