نتایج جستجو برای: arabic terms

تعداد نتایج: 592324  

2014
El-Sayed Atlam Omnia El-Barbary

Ontology is the basis of sharing and reusing knowledge on the semantic web. The fuzzy ontology is an extension of the domain ontology for solving the uncertainty problems. Although many earlier methods tried to create a fuzzy ontology and applied it to documents summarization, none of the previous methods have discussed Arabic document summarization using FA fuzzy ontology which could benefit f...

2014
Ines Boujelben Salma Jamoussi Abdelmajid Ben Hamadou

In this paper, we describe the first tool that detects the semantic relation between Arabic named entities, henceforth RelANE. We use various supervised learning techniques to predict the word or the sequence of terms that can highlight one or more semantic relationship between two Arabic named entities. For each word in the sentence, we use its morphological, contextual and semantic features o...

Journal: :Language Resources and Evaluation 2017
Mustafa Jarrar Nizar Habash Faeq Alrimawi Diyam Akra Nasser Zalmout

In this article we present Curras, the first morphologically annotated corpus of the Palestinian Arabic dialect. Palestinian Arabic is one of the many primarily spoken dialects of the Arabic language. Arabic dialects are generally under-resourced compared to Modern Standard Arabic, the primarily written and official form of Arabic. We start in the article with a background description that situ...

2006
Ahmad AbdulKader

In this paper we present a novel approach for the recognition of offline Arabic handwritten text that is motivated by the Arabic letters’ conditional joining rules. A lexicon of Arabic words can be expressed in terms of a new alphabet of PAWs (Part of Arabic Word). PAWs can be expressed in terms of letters. The recognition problem is decomposed into two problems that are solved simultaneously. ...

Journal: :IJIMAI 2017
Youssef Boulid Abdelghani Souhar Mohamed Youss Elkettani

A good Arabic handwritten recognition system must consider the characteristics of Arabic letters which can be explicit such as the presence of diacritics or implicit such as the baseline information (a virtual line on which cursive text are aligned and/join). In order to find an adequate method of features extraction, we have taken into consideration the nature of the Arabic characters. The pap...

Journal: :Brill’s Journal of Afroasiatic Languages and Linguistics 2018

2010
Khaled F. Shaalan Marwa Magdy Aly Fahmy

Arabic is a language of rich and complex morphology. The nature and peculiarity of Arabic make its morphological and phonological rules confusing for second language learners (SLLs). The conjugation of Arabic verbs is central to the formulation of an Arabic sentence because of its richness of form and meaning. In this paper, we address issues related to the morphological analysis of ill formed ...

Journal: :CoRR 2017
Hamdy Mubarak

In this paper we describe the complexity of building a lemmatizer for Arabic which has a rich and complex derivational morphology, and we discuss the need for a fast and accurate lammatization to enhance Arabic Information Retrieval (IR) results. We also introduce a new data set that can be used to test lemmatization accuracy, and an efficient lemmatization algorithm that outperforms state-of-t...

2008
Khaled Al-Ghoneim Abdulrahman Alarifi

In this paper, a new system for classification of online isolated handwritten Arabic characters on a handheld device (Palm Pilot) is introduced. Unlike other languages, Arabic has many characters that cannot be written in one stroke. The first stroke of most of these characters is identical. That led us to design a new Arabic graffiti. A neural network was used for classification. It achieved a...

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