A Visualization method for machine translation evaluation results

被引：0

作者：

Yao, Jian-Min ^{[1
,2
]}

Qu, Yun-Qian ^{[1
]}

Zhu, Qiao-Ming ^{[1
]}

Zhang, Jing ^{[3
]}

机构：

[1] Soochow Univ, Sch Comp Sci & Technol, Suzhou 215006, Peoples R China

[2] Southeast Univ, Sch Comp Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China

[3] South China Univ Technol, Sch Comp Sci, Guangzhou 510641, Guangdong, Peoples R China

来源：

PACLIC 20: PROCEEDINGS OF THE 20TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION | 2006年

关键词：

machine translation; visualization; system clustering;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To make it easier to understand the machine translation evaluation results, a curve is utilized to stand for the performance of a machine translation system. The position of the curve in the graph depicts the quality of the system. The upper left curve stands for higher translation quality. System clustering is made and its dendrogram illustrates the quality difference between systems. These two methods visualize the machine translation evaluation results.

引用

页码：390 / 393

页数：4