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文章基本信息

  • 标题:Arabic Roots Extraction Using Morphological Analysis
  • 本地全文:下载
  • 作者:Aymen Abu-Errub ; Ashraf Odeh ; Qusai Shambour
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2014
  • 卷号:11
  • 期号:2
  • 出版社:IJCSI Press
  • 摘要:The Arabic language is characterized by its rich and complex morphology based on root-pattern schemes. Root extraction is one of the most important topics in the context of natural language processing applications such as information retrieval, text processing, machine translation, speech tagging, etc. This paper presents a method to extract the trilateral roots of Arabic words, acting from the roots of three consonants, through the removal of the prefixes and the suffixes, and the use of a list of morphological weights. Experimental results based on a list of eleven different root inflections shows the effectiveness of the proposed method with a success rate of 94%.
  • 关键词:Arabic language; root extraction; stemming; morphological analysis.
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