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 271–280 of 1773 papers

TitleStatusHype
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
Towards Robust k-Nearest-Neighbor Machine TranslationCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Categorizing Semantic Representations for Neural Machine Translation—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Checks and Strategies for Enabling Code-Switched Machine Translation—0
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
Show:102550
← PrevPage 28 of 178Next →

No leaderboard results yet.