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http://hdl.handle.net/20.500.12358/25058
TitleA comparative study on Arabic POS tagging using Quran corpus
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Abstract

POS tagging is the process of computationally assigning correct part of speech to each word of a given input text depending on the context. Different POS tagging techniques in the literature have been developed and experimented mostly for English language. Some of the same work has been done for Arabic language. Comparative studies on POS tagging for Arabic language are relatively unexplored. In this paper we compare the performance of some POS tagging techniques for Arabic using Quran corpus. These techniques include N-Gram, Brill, HMM, and TnT taggers. The comparison experiments have been done on diacritized and undiacritized classical Arabic. We tried to see which technique maximizes the performance with our case.

Authors
Alashqar, Abdelkareem M
TypeJournal Article
Date2012
Published inInformatics and Systems (INFOS), 2012 8th International Conference on
PublisherIEEE
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  • Staff Publications- Faculty of Information Technology [192]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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