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 121–130 of 1773 papers

TitleStatusHype
On the Inference Calibration of Neural Machine TranslationCode1
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
Neural Machine Translation with Universal Visual RepresentationCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword SystemsCode1
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
Neural Machine Translation: Challenges, Progress and FutureCode1
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
Show:102550
← PrevPage 13 of 178Next →

No leaderboard results yet.