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 14311440 of 1773 papers

TitleStatusHype
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Massive Exploration of Neural Machine Translation ArchitecturesCode0
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-EnglishCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Context Gates for Neural Machine TranslationCode0
Tilde's Machine Translation Systems for WMT 2018Code0
Revisiting Negation in Neural Machine TranslationCode0
Context-aware Neural Machine Translation with Mini-batch EmbeddingCode0
Unsupervised Neural Machine Translation with Weight SharingCode0
Show:102550
← PrevPage 144 of 178Next →

No leaderboard results yet.