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 911–920 of 1773 papers

TitleStatusHype
Document-level Neural Machine Translation with Document Embeddings—0
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMTCode1
Combining Word and Character Vector Representation on Neural Machine Translation—0
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Transformer based Multilingual document Embedding model—0
Very Deep Transformers for Neural Machine TranslationCode1
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020—0
Revisiting Low Resource Status of Indian Languages in Machine Translation—0
Show:102550
← PrevPage 92 of 178Next →

No leaderboard results yet.