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 1321–1330 of 1773 papers

TitleStatusHype
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
An Analysis of Source-Side Grammatical Errors in NMT—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation—0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Synchronous Bidirectional Neural Machine TranslationCode0
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
A Guider Network for Multi-Dual Learning—0
Neural Machine Translation with Recurrent Highway Networks—0
Show:102550
← PrevPage 133 of 178Next →

No leaderboard results yet.