A rule-based extensible stemmer for information retrieval with application to Arabic

被引：0
|
作者：
Harmanani, HM [1 ]
Keirouz, WT [1 ]
Raheel, S [1 ]
机构：
[1] Lebanese Amer Univ, Dept Comp Sci, Byblos 1401 2010, Lebanon
来源：
Proceedings of the Eighth IASTED International Conference on Artificial Intelligence and Soft Computing | 2004年
关键词：
natural language processing; information retrieval;
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：
This paper presents a new and extensible method for information retrieval and content analysis in natural languages (NL). The proposed method is stem-based; stems are extracted based on a set of language dependent rules that are interpreted by a rule engine. The rule engine allows the system to be adapted to any natural language by modifying the NL semantic rules and grammar. The system has been fully tested using Arabic, and partially using English, Hebrew and Persian. We validate our approach using a database-based prototype.
引用
收藏
页码：35 / 40
页数：6
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