MinKSR: A Novel MT Evaluation Metric for Coordinating Human Translators with the CAT-Oriented Input Method

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 自然语言处理

	MinKSR: A Novel MT Evaluation Metric for Coordinating Human Translators with the CAT-Oriented Input Method
	Guoping, Huang; Chunlu, Zhao; Hongyuang, Ma; Yu, Zhou; Jiajun, Zhang
	2016-08
会议名称	China Workshop on Machine Translation (CWMT 2016)
会议录名称	Machine Translation: 12th China Workshop, CWMT 2016, Urumqi, China, August 25--26, 2016, Revised Selected Papers
会议日期	2016-8-25
会议地点	Urumqi, China
摘要	In order to improve the efficiency of human translation, there is an increasing interest in applying machine translation (MT) to computer assisted translation (CAT). The newly proposed CAT-oriented input method is such a typical approach, which can help translators significantly save keystrokes by exploiting MT deep information, such as n-best candidates, hypotheses and translation rules. In order to further save more keystrokes, we propose in this paper a novel MT evaluation metric for coordinating human translators with the input method. This evaluation metric takes MT deep information into account, and makes longer perfect fragments correspond to fewer keystrokes. Extensive experiments show that the novel evaluation metric makes MT substantially reduce the keystrokes of translating process by accurately grasping deep information for the CAT-oriented input method, and it significantly improves the productivity of human translation compared with BLEU and TER.
关键词	Machine Translation Evaluation Metric Input Method
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/41099
专题	多模态人工智能系统全国重点实验室_自然语言处理
推荐引用方式 GB/T 7714	Guoping, Huang,Chunlu, Zhao,Hongyuang, Ma,et al. MinKSR: A Novel MT Evaluation Metric for Coordinating Human Translators with the CAT-Oriented Input Method[C],2016.