Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 6
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).
Authors and Affiliations
Mohammad Btoush, Abdulsalam Alarabeyyat, Isa Olab
Keywords
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- EP ID EP118011
- DOI 10.14569/IJACSA.2016.070642
- Views 100
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