On Arabic-English cross-language information retrieval:: A machine translation approach

被引：6
|
作者：
Aljlayl, M [1 ]
Frieder, O [1 ]
Grossman, D [1 ]
机构：
[1] IIT, Informat Retrieval Lab, Chicago, IL 60616 USA
来源：
INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/ITCC.2002.1000351
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A Machine Translation (MT) system is an automatic process that translates from one human language to another language by using context information. We evaluate the use of an MT-based approach for query translation in an Arabic-English Cross-Language Information Retrieval (CLIR) system. Me empirically evaluate the use of an MT-based approach for query translation in an Arabic-English CLIR system using the TREC-7 and TREC-9 topics and collections. The effect of query length on the peformance of the machine translation is also investigated to explore how much context is actually required for successful MT processing.
引用
收藏
页码：2 / 7
页数：6
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