Rule Based Approach for Arabic Part of Speech Tagging and Name Entity Recognition
| Autor: | Mohammad Hjouj, Isa Olab, Abdulsalam Alarabeyyat |
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| Rok vydání: | 2016 |
| Předmět: |
Phrase
General Computer Science Arabic Computer science business.industry Part-of-speech tagging Speech recognition Rule-based system Verb computer.software_genre Lexicon Part of speech language.human_language Noun language Artificial intelligence business computer Word (computer architecture) Natural language processing |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 7 |
| ISSN: | 2156-5570 2158-107X |
| DOI: | 10.14569/ijacsa.2016.070642 |
| Popis: | 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) |
| Databáze: | OpenAIRE |
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