221 citations · 321 across the 4 of their papers we have counts for
4 papers
SYSTRAN Purely Neural MT Engines for WMT2017
Yongchao Deng, Jungi Kim, Guillaume Klein +7
This paper describes SYSTRAN's systems submitted to the WMT 2017 shared news translation task for English-German, in both translation directions. Our systems are built using OpenNM…
Boosting Neural Machine Translation
Dakun Zhang, Jungi Kim, Josep Crego +1
Training efficiency is one of the main problems for Neural Machine Translation (NMT). Deep networks need for very large data as well as many training iterations to achieve state-of…
SYSTRAN's Pure Neural Machine Translation Systems
Josep Crego, Jungi Kim, Guillaume Klein +27
Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT development has recently moved from laboratory to production systems as demonstrated by severa…
Large-scale Multi-label Text Classification - Revisiting Neural Networks
Jinseok Nam, Jungi Kim, Eneldo Loza Mencía +2
Neural networks have recently been proposed for multi-label classification because they are able to capture and model label dependencies in the output layer. In this work, we inves…