The Arabic language is a highly derivational and inflexional language in which morphology plays a significant role. However, a large number of the derivations obey a set of pre-defined rules and when applied, do not only produce a set of related words but also associate contextual and semantic knowledge to these words. In this paper, we describe the Meta-Ontology DEAR-ONTO, A DErivational ARabic Ontology used to model the Arabic Language. The Meta-Ontology uses verbs as roots and identifies the various classes formed by the derived words. Some of the possible applications of the DEAR-Ontology are discussed
Functional Arabic Morphology is a formulation of the Arabic inflectional system seeking the working ...
This is a descriptive study in a linguistic approach that traces of words in the dictionary focusing...
Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools...
The Arabic language is a highly derivational and inflexional language in which morphology plays a si...
AbstractThe purpose of this paper is to present an approach to create semi-automatically ontology fr...
Arabic language is the most spoken languages in the Semitic languages group, and one of the most com...
AbstractAutomatic extraction of semantic relationships among Arabic concepts to formulate ontology m...
Although Arabic is the language of over two hundred million speakers, little has been achieved in re...
International audienceWe describe a lexicon of Arabic verbs constructed on the basis of Semitic patt...
This dissertation aims at classifying verbs in Arabic using syntactic alternations for the purpose ...
This paper aims at explaining how Arabic linguistic resources are generated and exploited to enhance...
Abstract—We present a pilot study for building an Arabic morphological Pattern Net as a lexical sema...
In this article I present a lexicon for Arabic verbs which exploits Levin’s verb-classes (Levin, 199...
Abstract Ontological models play an important role in the Semantic Web. Despite being widely spread,...
The last decade had known a great interest in Arabic Natural Language Processing (NLP) applications....
Functional Arabic Morphology is a formulation of the Arabic inflectional system seeking the working ...
This is a descriptive study in a linguistic approach that traces of words in the dictionary focusing...
Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools...
The Arabic language is a highly derivational and inflexional language in which morphology plays a si...
AbstractThe purpose of this paper is to present an approach to create semi-automatically ontology fr...
Arabic language is the most spoken languages in the Semitic languages group, and one of the most com...
AbstractAutomatic extraction of semantic relationships among Arabic concepts to formulate ontology m...
Although Arabic is the language of over two hundred million speakers, little has been achieved in re...
International audienceWe describe a lexicon of Arabic verbs constructed on the basis of Semitic patt...
This dissertation aims at classifying verbs in Arabic using syntactic alternations for the purpose ...
This paper aims at explaining how Arabic linguistic resources are generated and exploited to enhance...
Abstract—We present a pilot study for building an Arabic morphological Pattern Net as a lexical sema...
In this article I present a lexicon for Arabic verbs which exploits Levin’s verb-classes (Levin, 199...
Abstract Ontological models play an important role in the Semantic Web. Despite being widely spread,...
The last decade had known a great interest in Arabic Natural Language Processing (NLP) applications....
Functional Arabic Morphology is a formulation of the Arabic inflectional system seeking the working ...
This is a descriptive study in a linguistic approach that traces of words in the dictionary focusing...
Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools...