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 1–10 of 1773 papers

TitleStatusHype
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer LearningCode3
Neural Speech Synthesis with Transformer NetworkCode2
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
Adaptive Nearest Neighbor Machine TranslationCode1
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio GenerationCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Show:102550
← PrevPage 1 of 178Next →

No leaderboard results yet.