A query-based cross-language diagnosis tool for distributed decision making support

被引：2

作者：

Choe, Pilsung ^{[1
]}

Lehto, Mark R. ^{[1
]}

Park, Hyung Jun ^{[2
]}

Allebach, Jan ^{[2
]}

机构：

[1] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA

[2] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2009年 / 57卷 / 01期

关键词：

CLIR; Cross-language information retrieval; CLD; Cross-language diagnosis; Print quality troubleshooting; Website localization; WEB; SYSTEM;

D O I：

10.1016/j.cie.2008.11.020

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A query translation-based Korean-English cross-language diagnosis (Q-KE-CLD) tool for assisting Korean users diagnosing print defects was developed and then evaluated as a case study of distributed decision making support for normative English users. The first step in developing the Q-KE-CLD tool involved collecting and analyzing print defect descriptions in Korean and English. A fuzzy Bayesian model was obtained from the descriptions and the Q-KE-CLD tool was developed. The tool was then experimentally evaluated in four different universities in South Korea. Results showed that Korean subjects generated Korean queries faster (p = 0.008) when entering Korean queries. In addition, the subjects rated Korean queries as being easier to generate (p = 0.004). Untrained subjects reported that use of the Korean language made it easier to generate queries and identify print defects. The overall results suggested that query translation-based cross-language diagnosis is a feasible approach for localizing troubleshooting websites. (c) 2008 Elsevier Ltd. All rights reserved.

引用

页码：37 / 45

页数：9

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