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 651–660 of 1773 papers

TitleStatusHype
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
Continual Learning for Neural Machine Translation—0
Multi-Hop Transformer for Document-Level Machine Translation—0
Cultural and Geographical Influences on Image Translatability of Words across LanguagesCode0
Parallel sentences mining with transfer learning in an unsupervised setting—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
POS-Tagging based Neural Machine Translation System for European Languages using Transformers—0
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine TranslationCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?—0
Show:102550
← PrevPage 66 of 178Next →

No leaderboard results yet.