Arabase - A Database Combining Different Arabic Resources with Lexical and Semantic Information

Hazem Raafat, Mohamed Zahran, Mohsen Rashwan

2013

Abstract

Language resources are important factor in any NLP application. However, the language resource support for Arabic is poor because the existing Arabic language resources are either scattered, inconsistent or even incomplete. In this paper we discuss the notion of having an integrated Arabic resource leveraging various pre-existing ones. We present a comparison between these resources then we present preliminary fully and semi-automated methods to integrate these resources. This work serves as a bootstrapping for a rich Arabic-Arabic resource with a good potential to interface with WordNet.

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Paper Citation


in Harvard Style

Raafat H., Zahran M. and Rashwan M. (2013). Arabase - A Database Combining Different Arabic Resources with Lexical and Semantic Information . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: SSTM, (IC3K 2013) ISBN 978-989-8565-75-4, pages 233-240. DOI: 10.5220/0004656702330240


in Bibtex Style

@conference{sstm13,
author={Hazem Raafat and Mohamed Zahran and Mohsen Rashwan},
title={Arabase - A Database Combining Different Arabic Resources with Lexical and Semantic Information},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: SSTM, (IC3K 2013)},
year={2013},
pages={233-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004656702330240},
isbn={978-989-8565-75-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: SSTM, (IC3K 2013)
TI - Arabase - A Database Combining Different Arabic Resources with Lexical and Semantic Information
SN - 978-989-8565-75-4
AU - Raafat H.
AU - Zahran M.
AU - Rashwan M.
PY - 2013
SP - 233
EP - 240
DO - 10.5220/0004656702330240