75 citations · 120 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…
Local Translation Prediction with Global Sentence Representation
Jiajun Zhang
Statistical machine translation models have made great progress in improving the translation quality. However, the existing models predict the target translation with only the sour…