Impact of Term-Indexing for Arabic Document Retrieval
Identifieur interne : 000C22 ( Main/Exploration ); précédent : 000C21; suivant : 000C23Impact of Term-Indexing for Arabic Document Retrieval
Auteurs : Siham Boulaknadel [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-540-69858-6_49
Affiliations:
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Le document en format XML
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