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. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Boulaknadel, S. (2008). Impact of term-indexing for arabic document retrieval. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5039 LNCS, 380–383. https://doi.org/10.1007/978-3-540-69858-6_49
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