A real time Named Entity Recognition system for Arabic text mining.
Arabic is the most widely spoken language in the Arab World. Most people of the Islamic World understand the Classic Arabic language because it is the language of the Qur'an. Despite the fact that in the last decade the number of Arabic Internet users (Middle East and North and East of Africa) has i...
| Published in: | Language Resources & Evaluation Vol. 46; no. 4; pp. 543 - 564 |
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| Main Authors: | , , , |
| Format: | Article |
| Published: |
Springer Nature
Dec2012
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=83587040&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 83587040 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2012 vid: 46 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 83587040 10.1007/s10579-011-9146-z ppf: 543 ppct: 21 formats: fmt: @attributes: type: P size: 662KB tig: atl: A real time Named Entity Recognition system for Arabic text mining. aug: au: Al-Jumaily, Harith Martínez, Paloma Martínez-Fernández, José Goot, Erik affil: Computer Science Department, Carlos III University of Madrid, Av. Universidad 30 28911 Leganés, Madrid Spain DAEDALUS - Data, Decisions and Language S.A., Avda. de la Albufera, 321 28031 Madrid Spain EC Joint Research Centre, Via E. Fermi 27549 Ispra Italy su: Arabic language Data mining Oral communication Data extraction Internet users Pattern recognition systems Mathematical models sug: subj: Arabic language Data mining Oral communication Data extraction Internet users Pattern recognition systems Mathematical models keyword: Event detection Morphological analysis Named Entity Recognition Root extraction Text mining ab: Arabic is the most widely spoken language in the Arab World. Most people of the Islamic World understand the Classic Arabic language because it is the language of the Qur'an. Despite the fact that in the last decade the number of Arabic Internet users (Middle East and North and East of Africa) has increased considerably, systems to analyze Arabic digital resources automatically are not as easily available as they are for English. Therefore, in this work, an attempt is made to build a real time Named Entity Recognition system that can be used in web applications to detect the appearance of specific named entities and events in news written in Arabic. Arabic is a highly inflectional language, thus we will try to minimize the impact of Arabic affixes on the quality of the pattern recognition model applied to identify named entities. These patterns are built up by processing and integrating different gazetteers, from DBPedia (, ) to GATE (A general architecture for text engineering, ) and ANERGazet (). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2012. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
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