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  • 标题:NOISE ABATEMENT IN THE ARABIC IRS RESULTS BY APPLYING A SENTENCES MORPHOSEMANTIC FILTER (GENE FILTER METHOD)
  • 本地全文:下载
  • 作者:Adil ENAANAI ; ABDELAZIZ DOUKKALI ; BOUBKER REGRAGUI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2012
  • 卷号:42
  • 期号:1
  • 页码:113-121
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In this paper, we introduce a new approach to facilitate the calculation of relevance and noise abatement in information research systems in Arabic language. Our method is to remove morphosemantic ambiguity due to agglutination and lack of vocalization of the Arabic words. To do, we have proposed to transform words to semantic gene. The latter represent an accurate determination of the word meaning. They contain the type, context, definition and vocalized shape of all possible cases may be taken in the Arabic word. In our approach we consider all possible meanings of the terms by applying a morphosemantic variation based on a recursive algorithm. Obtained variants are filtering by using of the sentence context, user profile and the Arabic phrase synthesis rules. The result is a semantically coherent text ready to be used by an information search system.
  • 关键词:Semantic Gene; Arabic Disambiguation; TALN; Information Research.
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