Using restricted CCA for cross-language information retrieval

被引：2
|
作者：
Polajnar, Emil [1 ]
机构：
[1] Univ Ljubljana, Fac Social Sci, Ljubljana, Slovenia
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2017年 / 46卷 / 06期
关键词：
Alternating least-squares; Cross-language information retrieval; Restricted canonical correlation; CANONICAL CORRELATION-ANALYSIS; FMRI DATA; REGRESSION;
D O I：
10.1080/03610918.2015.1122054
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Canonical correlation analysis is a method of correlating linear relationship between two sets of variables. When not any linear combination of variables is allowed, restricted canonical correlation analysis is appropriate. The method was implemented with alternating least-squares and applied to the cross-language information retrieval on a dataset with officially translated and aligned documents in eight European languages.
引用
收藏
页码：4618 / 4626
页数：9
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