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 301–310 of 1773 papers

TitleStatusHype
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
Competence-based Curriculum Learning for Neural Machine TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Show:102550
← PrevPage 31 of 178Next →

No leaderboard results yet.