A compact Arabic lexical semantics language resource based on the theory of semantic fields

Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools underneath perform much better as the statistical processing operates on deeper language factorization(s) than on raw text. Lexical semantic factorization is very important in that aspect due to its...

Full description

Bibliographic Details
Main Authors:	Rashwan, Mohssin, Attia, Mohammed, Ahmed Mahmoud, Ahmed Ragheb
Format:	Article
Language:	English
Published:	Springer-Verlag, Berlin, Germany 2008
Subjects:	P Philology. Linguistics
Online Access:	http://irep.iium.edu.my/23488/ http://irep.iium.edu.my/23488/ http://irep.iium.edu.my/23488/1/chp%253A10.1007%252F978-3-540-85287-2_7.pdf

id	iium-23488
recordtype	eprints
spelling	iium-234882015-09-17T02:31:37Z http://irep.iium.edu.my/23488/ A compact Arabic lexical semantics language resource based on the theory of semantic fields Rashwan, Mohssin Attia, Mohammed Ahmed Mahmoud, Ahmed Ragheb P Philology. Linguistics Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools underneath perform much better as the statistical processing operates on deeper language factorization(s) than on raw text. Lexical semantic factorization is very important in that aspect due to its feasibility, high level of abstraction, and the language independence of its output. In the core of such a factorization lies an Arabic lexical semantic DB. While building this LR, we had to go beyond the conventional exclusive collection of words from dictionaries and thesauri that cannot alone produce a satisfactory coverage of this highly inflective and derivative language. This paper is hence devoted to the design and implementation of an Arabic lexical semantics LR that enables the retrieval of the possible senses of any given Arabic word at a high coverage. Instead of tying full Arabic words to their possible senses, our LR flexibly relates morphologically and PoS-tags constrained Arabic lexical compounds to a predefined limited set of semantic fields across which the standard semantic relations are defined. With the aid of the same large-scale Arabic morphological analyzer and PoS tagger in the runtime, the possible senses of virtually any given Arabic word are retrievable. Springer-Verlag, Berlin, Germany 2008 Article PeerReviewed application/pdf en http://irep.iium.edu.my/23488/1/chp%253A10.1007%252F978-3-540-85287-2_7.pdf Rashwan, Mohssin and Attia, Mohammed and Ahmed Mahmoud, Ahmed Ragheb (2008) A compact Arabic lexical semantics language resource based on the theory of semantic fields. Lecture Notes in Computer Science (LNCS), 5221. pp. 65-76. ISSN 1611-3349 (O), 0302-9743 (P) http://link.springer.com/chapter/10.1007%2F978-3-540-85287-2_7#
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	P Philology. Linguistics
spellingShingle	P Philology. Linguistics Rashwan, Mohssin Attia, Mohammed Ahmed Mahmoud, Ahmed Ragheb A compact Arabic lexical semantics language resource based on the theory of semantic fields
description	Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools underneath perform much better as the statistical processing operates on deeper language factorization(s) than on raw text. Lexical semantic factorization is very important in that aspect due to its feasibility, high level of abstraction, and the language independence of its output. In the core of such a factorization lies an Arabic lexical semantic DB. While building this LR, we had to go beyond the conventional exclusive collection of words from dictionaries and thesauri that cannot alone produce a satisfactory coverage of this highly inflective and derivative language. This paper is hence devoted to the design and implementation of an Arabic lexical semantics LR that enables the retrieval of the possible senses of any given Arabic word at a high coverage. Instead of tying full Arabic words to their possible senses, our LR flexibly relates morphologically and PoS-tags constrained Arabic lexical compounds to a predefined limited set of semantic fields across which the standard semantic relations are defined. With the aid of the same large-scale Arabic morphological analyzer and PoS tagger in the runtime, the possible senses of virtually any given Arabic word are retrievable.
format	Article
author	Rashwan, Mohssin Attia, Mohammed Ahmed Mahmoud, Ahmed Ragheb
author_facet	Rashwan, Mohssin Attia, Mohammed Ahmed Mahmoud, Ahmed Ragheb
author_sort	Rashwan, Mohssin
title	A compact Arabic lexical semantics language resource based on the theory of semantic fields
title_short	A compact Arabic lexical semantics language resource based on the theory of semantic fields
title_full	A compact Arabic lexical semantics language resource based on the theory of semantic fields
title_fullStr	A compact Arabic lexical semantics language resource based on the theory of semantic fields
title_full_unstemmed	A compact Arabic lexical semantics language resource based on the theory of semantic fields
title_sort	compact arabic lexical semantics language resource based on the theory of semantic fields
publisher	Springer-Verlag, Berlin, Germany
publishDate	2008
url	http://irep.iium.edu.my/23488/ http://irep.iium.edu.my/23488/ http://irep.iium.edu.my/23488/1/chp%253A10.1007%252F978-3-540-85287-2_7.pdf
first_indexed	2023-09-18T20:35:32Z
last_indexed	2023-09-18T20:35:32Z
_version_	1777409020267593728

A compact Arabic lexical semantics language resource based on the theory of semantic fields

Similar Items