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 881–890 of 1773 papers

TitleStatusHype
On the Sub-Layer Functionalities of Transformer Decoder—0
On the use of BERT for Neural Machine Translation—0
On the Word Alignment from Neural Machine Translation—0
ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
OpenNMT: Open-source Toolkit for Neural Machine Translation—0
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU—0
OPPO NMT System for IWSLT 2019—0
Optimizing Segmentation Granularity for Neural Machine Translation—0
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning—0
Show:102550
← PrevPage 89 of 178Next →

No leaderboard results yet.