Impact of Term-Indexing for Arabic Document Retrieval
Identifieur interne : 002933 ( Istex/Corpus ); précédent : 002932; suivant : 002934Impact of Term-Indexing for Arabic Document Retrieval
Auteurs : Siham BoulaknadelSource :
- 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
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ISTEX:A73D5FA654634F250F567B70C330A496FCB968A6Le document en format XML
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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.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Impact of Term-Indexing for Arabic Document Retrieval</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Impact of Term-Indexing for Arabic Document Retrieval</title></titleInfo><name type="personal"><namePart type="given">Siham</namePart><namePart type="family">Boulaknadel</namePart><affiliation>LINA FRE CNRS 2729 Université de Nantes, 2 rue la Houssinière, BP 92208, 44322, Nantes cedex 03, France</affiliation><affiliation>GSCM Université Mohammed V, BP 1014, Agdal Rabat-Maroc</affiliation><affiliation>E-mail: siham.boulaknadel@univ-nantes.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2008</dateIssued><copyrightDate encoding="w3cdtf">2008</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: In this paper, we adapt the standard method for multi-word term extraction for Arabic language. 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type="given">C.</namePart><namePart type="family">Mitchell</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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2008</recordOrigin></recordInfo></relatedItem><identifier type="istex">A73D5FA654634F250F567B70C330A496FCB968A6</identifier><identifier type="DOI">10.1007/978-3-540-69858-6_49</identifier><identifier type="ChapterID">49</identifier><identifier type="ChapterID">Chap49</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2008</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/A73D5FA654634F250F567B70C330A496FCB968A6/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">Automatic term detection: A review of current systems</title><author><persName><forename type="first">M</forename><forename 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