loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hazem Raafat 1 ; Mohamed Zahran 2 and Mohsen Rashwan 2

Affiliations: 1 Kuwait University, Kuwait ; 2 Cairo University, Egypt

Keyword(s): Natural Language Processing, Arabic Language Resources, Text Similarity Matching, Arabic Language Resources Integration.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.14.249.124

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (IC3K 2013) - SSTM; ISBN 978-989-8565-75-4; ISSN 2184-3228, SciTePress, pages 233-240. DOI: 10.5220/0004656702330240

@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 (IC3K 2013) - SSTM},
year={2013},
pages={233-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004656702330240},
isbn={978-989-8565-75-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - SSTM
TI - Arabase - A Database Combining Different Arabic Resources with Lexical and Semantic Information
SN - 978-989-8565-75-4
IS - 2184-3228
AU - Raafat, H.
AU - Zahran, M.
AU - Rashwan, M.
PY - 2013
SP - 233
EP - 240
DO - 10.5220/0004656702330240
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic