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Research Article | Open Access |

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

Author 1: Mohammad Hjouj Btoush Author 2: Abdulsalam Alarabeyyat Author 3: Isa Olab
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 6 · Published 2016 · Cited by 15

DOI: https://doi.org/10.14569/IJACSA.2016.070642

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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)

Keywords

POS Speech tagging Speech recognition Text phrase Phrase NLP

How to Cite this Article

Btoush, M. H., 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

Btoush, Mohammad Hjouj, et al.. "Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition." International Journal of Advanced Computer Science and Applications, vol. 7, no. 6, 2016, https://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},
  volume    = {7},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Mohammad Hjouj Btoush and Abdulsalam Alarabeyyat and Isa Olab},
  doi       = {10.14569/IJACSA.2016.070642},
  url       = {https://doi.org/10.14569/IJACSA.2016.070642}
}

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