2018
EMNLP
EMNLP 2018
The NiuTrans Machine Translation System for WMT18
Abstract
AbstractThis paper describes the submission of the NiuTrans neural machine translation system for the WMT 2018 Chinese ↔ English news translation tasks. Our baseline systems are based on the Transformer architecture. We further improve the translation performance 2.4-2.6 BLEU points from four aspects, including architectural improvements, diverse ensemble decoding, reranking, and post-processing. Among constrained submissions, we rank 2nd out of 16 submitted systems on Chinese → English task and 3rd out of 16 on English → Chinese task, respectively.
🌉
Interdisciplinary Bridge
— Deep Learning and Natural Language Processing
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Qiang Wang
,
Bei Li
,
Jiqiang Liu
,
Bojian Jiang
,
Zheyang Zhang
,
Yinqiao Li
,
Ye Lin
,
Tong Xiao
,
Jingbo Zhu