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

Showing 8190 of 1773 papers

TitleStatusHype
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span PredictionCode1
Hidden Backdoors in Human-Centric Language ModelsCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
Shellcode_IA32: A Dataset for Automatic Shellcode GenerationCode1
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Document-level grammatical error correctionCode1
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Show:102550
← PrevPage 9 of 178Next →

No leaderboard results yet.