Impact of term-indexing for Arabic document retrieval

被引：0
|
作者：
Boulaknadel, Siham [1 ]
机构：
[1] Univ Nantes, LINA FRE CNRS 2729, F-44322 Nantes 03, France
来源：
NATURAL LANGUAGE AND INFORMATION SYSTEMS, PROCEEDINGS | 2008年 / 5039卷
关键词：
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：
In this paper, we adapt the standard method for multi-word term extraction for Arabic language. We define the linguistic specifications and develop a term extraction tool. We experiment the term extraction program for document retrieval in a specific domain, evaluate two kinds of multi-word term weighting functions considering either the corpus or the document, and demonstrate the efficiency of multi-word term indexing for both weighting up to 5.8% of average precision.
引用
收藏
页码：380 / 383
页数：4
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