@inproceedings{a71391a333824e579f2cbf242dfe0310,
title = "Hierarchical pre-reordering model for patent machine translation",
abstract = "Patents constitute one of the most challenging domains for machine translation because patent sentences can be quite long with complex structures. This paper presents a hierarchical reordering method based on three-level parsing for Chinese-English patent MT. After integrating into a Phrase based SMT system, our method improves the BLEU score by 1.92. There are also improvements in NIST and METEOR scores. Besides, we investigate the precision and recall of the reordering rule set by conducting manual evaluations.",
keywords = "hierarchical model, machine translation, patent, reordering",
author = "Renfen Hu and Kai Zhao and Hongzheng Li and Yun Zhu and Yaohong Jin",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 20th International Conference on Asian Language Processing, IALP 2016 ; Conference date: 21-11-2016 Through 23-11-2016",
year = "2017",
month = mar,
day = "10",
doi = "10.1109/IALP.2016.7875975",
language = "English",
series = "Proceedings of the 2016 International Conference on Asian Language Processing, IALP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "232--235",
editor = "Minghui Dong and Chung-Hsien Wu and Yanfeng Lu and Haizhou Li and Yuen-Hsien Tseng and Liang-Chih Yu and Lung-Hao Lee",
booktitle = "Proceedings of the 2016 International Conference on Asian Language Processing, IALP 2016",
address = "United States",
}