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

Showing 611620 of 1773 papers

TitleStatusHype
Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text0
Asynchronous and Segmented Bidirectional Encoding for NMT0
Code Translation with Compiler Representations0
Amharic-Arabic Neural Machine Translation0
Exploiting Monolingual Data at Scale for Neural Machine Translation0
First Experiments with Neural Translation of Informal to Formal Mathematics0
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing0
Fixing exposure bias with imitation learning needs powerful oracles0
FJWU Participation for the WMT21 Biomedical Translation Task0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning0
Show:102550
← PrevPage 62 of 178Next →

No leaderboard results yet.