Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition

  • Hjouj M
  • Alarabeyyat A
  • Olab I
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Abstract

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).

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APA

Hjouj, M., Alarabeyyat, A., & Olab, I. (2016). Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition. International Journal of Advanced Computer Science and Applications, 7(6). https://doi.org/10.14569/ijacsa.2016.070642

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