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 1581–1590 of 1773 papers

TitleStatusHype
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!Code0
Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence TransformersCode0
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine TranslationCode0
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked SettingsCode0
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation ModelsCode0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMTCode0
Show:102550
← PrevPage 159 of 178Next →

No leaderboard results yet.