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A panoramic survey of natural language processing in the Arab world

Authors:

Huseein T. Al-Natsheh,

Houda Bouamor,

Karim Bouzoubaa,

Violetta Cavalli-Sforza,

Samhaa R. El-Beltagy,

Wassim El-Hajj,

Mustafa Jarrar,

Hamdy MubarakAuthors Info & Claims

Communications of the ACM, Volume 64, Issue 4

Pages 72 - 81

https://doi.org/10.1145/3447735

Published: 22 March 2021 Publication History

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References

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Cited By

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Alshammari HElleithy K(2024)Toward Robust Arabic AI-Generated Text Detection: Tackling Diacritics ChallengesInformation10.3390/info1507041915:7(419)Online publication date: 19-Jul-2024
https://doi.org/10.3390/info15070419
Alshammari HEl-Sayed AElleithy K(2024)AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer ArchitectureBig Data and Cognitive Computing10.3390/bdcc80300328:3(32)Online publication date: 18-Mar-2024
https://doi.org/10.3390/bdcc8030032
Abdallah AKasem MAbdalla MMahmoud MElkasaby MElbendary YJatowt AHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657889(2049-2059)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657889
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Index Terms

A panoramic survey of natural language processing in the Arab world
1. General and reference
  1. Cross-computing tools and techniques
2. Social and professional topics
  1. User characteristics
    1. Cultural characteristics
    2. Geographic characteristics

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Published In

Communications of the ACM Volume 64, Issue 4

April 2021

164 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3458337

Editor:
Andrew A. Chien
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 22 March 2021

Published in CACM Volume 64, Issue 4

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Alshammari HElleithy K(2024)Toward Robust Arabic AI-Generated Text Detection: Tackling Diacritics ChallengesInformation10.3390/info1507041915:7(419)Online publication date: 19-Jul-2024
https://doi.org/10.3390/info15070419
Alshammari HEl-Sayed AElleithy K(2024)AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer ArchitectureBig Data and Cognitive Computing10.3390/bdcc80300328:3(32)Online publication date: 18-Mar-2024
https://doi.org/10.3390/bdcc8030032
Abdallah AKasem MAbdalla MMahmoud MElkasaby MElbendary YJatowt AHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657889(2049-2059)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657889
Kumar ABhatia SKhosravi MMashat AAgarwal P(2024)Semantic and Context Understanding for Sentiment Analysis in Hindi Handwritten Character Recognition Using a Multiresolution TechniqueACM Transactions on Asian and Low-Resource Language Information Processing10.1145/355789523:1(1-22)Online publication date: 15-Jan-2024
https://dl.acm.org/doi/10.1145/3557895
Ghumeid NEssgaer M(2024)Addressing the Libyan Arabic Dialect Identification: A Comparative Study of Ensemble Classification Methods2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)10.1109/MI-STA61267.2024.10599739(579-584)Online publication date: 19-May-2024
https://doi.org/10.1109/MI-STA61267.2024.10599739
Al-Shameri NAl-Khalifa H(2024)Arabic Paraphrase Generation Using Transformer-Based ApproachesIEEE Access10.1109/ACCESS.2024.345093112(121896-121914)Online publication date: 2024
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Radman ADuwairi R(2024)Towards a robust deep learning framework for Arabic sentiment analysisNatural Language Processing10.1017/nlp.2024.35(1-35)Online publication date: 6-Sep-2024
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Alamsyah ASagama Y(2024)Empowering Indonesian internet users: An approach to counter online toxicity and enhance digital well-beingIntelligent Systems with Applications10.1016/j.iswa.2024.20039422(200394)Online publication date: Jun-2024
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El Idrysy FHourri SEl Miqdadi IHayati ANamir YNcir BKharroubi J(2024)Unlocking the language barrier: A Journey through Arabic machine translationMultimedia Tools and Applications10.1007/s11042-024-19551-8Online publication date: 14-Jun-2024
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Ali DIqbal SMehmood SKhalil IUllah IKhan HAli F(2024)Unleashing the Power of AI in Communication Technology: Advances, Challenges, and Collaborative ProspectsArtificial General Intelligence (AGI) Security10.1007/978-981-97-3222-7_10(211-226)Online publication date: 31-Aug-2024
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Multi-level structures for natural language processing

Modular natural language processing using declarative attribute grammars

Executable attribute grammars for modular and efficient natural language processing

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