The Named Entity Recognition (NER) is a task in Information Extraction (IE). The Named entity recognition has become very important for natural language processing. The named entity recognition is defined as the detection and classification of entities from un-structured text where for the Arabic language, the named entity recognition is new in the natural language processing although it has pr...

Arabic language is the most spoken languages in the Semitic languages group, and one of the most common languages in the world spoken by more than 422 million. It is also of paramount importance to Muslims, it is a sacred language of the Islamic Holly Book (Quran) and prayer (and other acts of worship) in Islam is performed only by mastering some of Arabic words. Arabic is also a major ritual l...

Sign Language Recognition (SLR) is the most structured field in gesture recognition applications, such that each gesture has assigned a well-defined meaning. SLR can be defined as a translation system, which translates the signs, performed by deaf and dump people to the natural language. The proposed system aims to recognize Arabic sign language (ASL) and converts it to the natural Arabic langu...

eulogizing has been quite common in the arabic literature for centures, and in terms of its theme, it has various sort which eulogizing our holy prophet is the most significant type. eulogizing him emerged in his time. the eulogizers praised his ethics , various moralities, different virtues, his pure ancestors, his nice ways of life, his love and affection toward people, etc. shoghi is one of ...

This paper describes the building of a valency lexicon of Arabic verbs using a morphologically and syntactically annotated corpus, the Prague Arabic Dependency Treebank, as its primary source. We present the theoretical account on valency developed within the Functional Generative Description theory. We apply the framework to Arabic and discuss various valency-related phenomena with respect to ...

Representing Arabic Text semantically using Rich Semantic Graph (RSG) is one of the recent techniques that facilitate the process of manipulating the Arabic Language in Natural Language Processing (NLP) field. The work presented in this paper is a part of an ongoing research to create an abstractive summary for a single input document in Arabic Language. The abstractive summary is generated thr...

This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with...