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  • 标题:Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition
  • 本地全文:下载
  • 作者:Mohammad Hjouj Btoush ; Abdulsalam Alarabeyyat ; Isa Olab
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:6
  • DOI:10.14569/IJACSA.2016.070642
  • 出版社:Science and Information Society (SAI)
  • 摘要:The aim of this study is to build a tool for Part of Speech (POS) tagging and Name Entity Recognition for Arabic Language, the approach used to build this tool is a rule base technique. The POS Tagger contains two phases:The first phase is to pass word into a lexicon phase, the second level is the morphological phase, and the tagset are (Noun, Verb and Determine). The Named-Entity detector will apply rules on the text and give the correct Labels for each word, the labels are Person(PERS), Location (LOC) and Organization (ORG)
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; POS; Speech tagging; Speech recognition; Text phrase; Phrase; NLP
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