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A Survey of Offensive Language Detection for the Arabic Language

ACM Transactions on Asian and Low-Resource Language Information Processing, 2021
The use of offensive language in user-generated content is a serious problem that needs to be addressed with the latest technology. The field of Natural Language Processing (NLP) can support the automatic detection of offensive language. In this survey, we review previous NLP studies that cover Arabic offensive language detection.
Fatemah Husain, Özlem Uzuner
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Arabics language parser

International Journal of Man-Machine Studies, 1986
Abstract This paper describes a computer system for syntactic parsing of Arabic sentences. It contains a word analyser and a syntactic parser based on Definite Clause Grammars (DCG) formalism. The system has been written in Prolog. An introduction to the Arabic language and its features is included.
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SSML for Arabic Language

2008
This paper introduces SSML for using with Arabic language. SSML is part of a larger set of markup specifications for voice browsers developed through the open processes of the W3C. The essential role of the markup language is to give authors of synthesizable content a standard way to control aspects of speech output such as pronunciation, volume, pitch,
Noor Shaker   +2 more
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The Arabic Language

2014
The Armenian translation of The Arabic Language by Kees Versteegh aims to make this influential study accessible to Armenian-speaking students, scholars, and readers interested in the history and structure of Arabic. The book offers a comprehensive account of the development of the language guiding readers from its earliest stages to the modern era. It
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Application of Arabic language processing in language learning

Proceedings of the 2nd international Conference on Big Data, Cloud and Applications, 2017
Natural Language Processing (NLP) provides several solutions that can refine the language learning. Nowadays, Arabic Language Processing (ALP) has become the focus of many researchers and developers. Further, the amount of ALP tools and applications has grown significantly over the last years.
Anoual El Kah   +2 more
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Arab gloss annotation system for Arabic Sign Language

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA), 2015
Sign Language (SL) is a native language for deaf person which are about 70 million around the world. 17 million of this community are only in Arabic world. Despite the very important number of deaf people, Arabic Sign Language (ArSL) suffers from the lack of rules and grammatical structure that is required for the construction of an ArSL sentence.
Nadia Aouiti   +2 more
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Arabic Morphology in the Neural Language System

Journal of Cognitive Neuroscience, 2010
AbstractThere are two views about morphology, the aspect of language concerned with the internal structure of words. One view holds that morphology is a domain of knowledge with a specific type of neurocognitive representation supported by specific brain mechanisms lateralized to left fronto-temporal cortex.
Sami Boudelaa   +4 more
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Punctuation Prediction for the Arabic language

Proceedings of the 6th International Conference on Networking, Intelligent Systems & Security, 2023
Abdelkarim Aboutaib   +3 more
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The Arabic Language — lisān al-‘arab

2014
The Arabic language, a Semitic language, displays the phenomenon known as diglossia or multiglossia (due to the existence of numerous colloquial dialects). A term first coined by Ferguson, diglossia is defined as the coexistence of a high and low variety of a language where the first is used in formal situations and the latter in informal ones.
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The Language(s) of Arabic Literature

2014
volume miscellaneo in cui si trovano saggi di linguistica e dialettologia araba, letteratura araba classica e del periodo premoderno, e di letteratura araba moderna e contemporanea. Particolare attenzione è sempre data all'aspetto linguistico e alle sue declinazioni anche all'interno di testi letterari.
SURIANO, ALBA ROSA   +2 more
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