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 181–190 of 1773 papers

TitleStatusHype
MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality—0
Quality-Aware Decoding: Unifying Quality Estimation and Decoding—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction—0
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model—0
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token—0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Quality Estimation based Feedback Training for Improving Pronoun Translation—0
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq ApproachesCode0
Show:102550
← PrevPage 19 of 178Next →

No leaderboard results yet.