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 781–790 of 1773 papers

TitleStatusHype
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning—0
MUCS@ - Machine Translation for Dravidian Languages using Stacked Long Short Term Memory—0
Measuring and Improving Faithfulness of Attention in Neural Machine Translation—0
Context-aware Neural Machine Translation with Mini-batch EmbeddingCode0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
Why Find the Right One?—0
Leveraging Neural Machine Translation for Word AlignmentCode0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Show:102550
← PrevPage 79 of 178Next →

No leaderboard results yet.