TencentFmRD Neural Machine Translation for WMT18
Bojie Hu, Ambyer Han, Shen Huang · 2018
This paper describes the Neural Machine Translation (NMT) system of TencentFmRD for Chinese↔English news translation tasks of WMT 2018.Our systems are neural machine translation systems trained with our original system TenTrans.TenTrans is an improved NMT system based on Transformer selfattention mechanism.In addition to the basic settings of Transformer training, TenTrans uses multi-model fusion techniques, multiple features reranking, different segmentation models and joint learning.Finally, we adopt some data selection strategies to fine-tune the trained system and achieve a stable performance improvement.Our Chinese→English system achieved the second best BLEU scores and fourth best cased BLEU scores among all WMT18 submitted systems.