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 401–410 of 1773 papers

TitleStatusHype
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationCode0
Dynamic Position Encoding for Transformers—0
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine TranslationCode1
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
A Token-level Contrastive Framework for Sign Language TranslationCode0
Towards Better Chinese-centric Neural Machine Translation for Low-resource LanguagesCode1
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
Data Selection Curriculum for Neural Machine Translation—0
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
Show:102550
← PrevPage 41 of 178Next →

No leaderboard results yet.