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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition
Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070642
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 6, 2016.
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)
Keywords: POS; Speech tagging; Speech recognition; Text phrase; Phrase; NLP
Mohammad Hjouj Btoush, Abdulsalam Alarabeyyat and Isa Olab, “Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 7(6), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070642
@article{Btoush2016,
title = {Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070642},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070642},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {6},
author = {Mohammad Hjouj Btoush and Abdulsalam Alarabeyyat and Isa Olab}
}
