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ACLing 2018 : The Fourth International Conference on Arabic Computational Linguistics


Link: http://www.Acling2018.or
When Nov 17, 2018 - Nov 19, 2018
Where Dubai, UAE
Submission Deadline Jun 30, 2018
Notification Due Aug 15, 2018
Final Version Due Sep 10, 2018
Categories    NLP

Call For Papers

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The Fourth International Conference on Arabic Computational Linguistics (ACLing2018)
Dubai, UAE, 17-19th November 2018
Publiction: Procedia Computer Science by ELSEVIER (Confirmed)
* Paper submission deadline: June 30th, 2018
* Notification of Acceptance: August 15th, 2018
* Camera ready version submission: September 10, 2018
* Conference Date: November 17-19, 2018
The goal of the Conference is to bring together leading academicians, scientists, researchers and practitioners from all over the world to exchange new ideas and the latest results in Arabic Computational Linguistics and NLP. The field has become increasingly important, as more and more Arabic information is now available through the Web, Social Media and Intranet services. We invite you to participate in ACLing2018 and we are confident that you will find the program enriching, enlightening and rewarding. All the accepted papers will be published in the Procedia Computer Science ( by ELSEVIER. Every peer-reviewed research article appearing in Procedia Computer Science will be published open access and will have a DOI assigned. Procedia Computer Science (ISSN: 1877-0509) of this series is indexed in Scopus, the largest abstract and citation database of peer-reviewed literature.

ACLing2018 invites researchers from academia and industry to submit their papers on recent, unpublished research that addresses theoretical aspects, algorithms, and architectures of Arabic Natural Language Processing systems. Papers describing the creation of resources, as well as survey and discussion papers, are also welcomed.
We invite papers that pertain to the workshop theme including but not limited to:

* Information Retrieval and Question Answering
* Linguistic Theories and Resources
* Machine Learning
* Machine Translation
* Multilinguality and Cross-linguality
* NLP Applications
* Segmentation, Tagging, and Parsing
* Semantics
* Sentiment Analysis and Opinion Mining
* Web, Social Media and Computational Social Science
* Spoken Language Processing
* Summarization
* Text Categorization and Topic Modeling
* Text Mining
* Language and Vision

The Programme Committee features experts in different aspects of Arabic Computational Linguistic:
* Link to the list of program committee members

* Long papers: 8 pages including including figures, tables and references.
* Short papers: 4 pages including including figures, tables and references.

We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: All submissions should be written in English and submitted as PDF. Submissions will be peer reviewed by the program committee members. Evaluation criteria will include correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. All the submissions should be submitted via EasyChair:

* Prof. Dr. Khaled Shaalan, The British University of Dubai, UAE
* Prof. Dr. Samhaa R. El-Beltagy, Nile University, Egypt

* The conference website ( will be updated on a regular basis.
* For further information, please email

Professor Dr Khaled Shaalan, PhD CS, MSc CS, PGD CS
Associate Editor, ACM Transactions of Asian and Low Resource Language Information Processing (TALLIP), Association for Computing Machinery (ACM)
Chair of ACLing2018
Head of Programmes PhD in CS, MSc in Informatics and MSc in ITM
Affiliation: The British University in Dubai, Dubai, UAE
Dubai International Academic City (DIAC)
1st & 2nd Floor, Block 11 | PO Box 345015
Dubai, United Arab Emirates
T: +971 4 279 1400
D: +971 4 279 1434
F: +971 4 279 1490
ORCID: 0000-0003-0823-8390
SCOPUS: 6507669702
ResearcherID: E-7377-2016
Scholar Citations: keLKdlgAAAAJ
Twitter: @khaledshaalan

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