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ANLP 2017 : Special Issue: Advance Arabic Natural Language Processing (ANLP) and its Applications


When Dec 1, 2017 - Dec 1, 2017
Where nternational Journal Information Process
Submission Deadline Nov 1, 2016
Notification Due Mar 1, 2017
Final Version Due May 15, 2017
Categories    nlp for arabic language   arabic language   anlp for social networks

Call For Papers

Special Issue: Advance Arabic Natural Language Processing (ANLP) and its Applications
The International Journal Information Processing & Management
Call for papers:
Arabic is one of the fastest growing languages on the Internet in terms of both content and speakers. Due to the commercial and strategic importance of the Arabic language, the past few decades has seen a significant rise in the interest in the field of Arabic Natural Language Processing (ANLP). This is evident in the number of conferences, conference tracks, workshops, special issues of journals dedicated to ANLP or issues related to ANLP. Another indication of this growing interest is the surge of papers, books, and other forms of publications related to ANLP. Realizing the importance of fostering the development of ANLP, IP&M has dedicated a special issue to this important field. Researchers are invited to submit their best work to this special issue.
The topics include, but are not limited to the following:
• Morphological analysis.
• Tokenization, segmentation, chunking, parsing, etc.
• Part-of-speech tagging.
• Stemming.
• Information retrieval and extraction.
• Text mining.
• Big data analytics.
• ANLP interoperability.
• Social media analysis.
• Named Entity Recognition.
• Word Sense Disambiguation.
• Keyword extraction.
• Text summarization and compression.
• Authorship analysis.
• Event extraction.
• Semantic role labeling.
• Sentiment analysis and opinion mining.
• Topic modelling.
• Language and dialect modeling.
• Automatic machine translation.
• Speech recognition.
• Speech synthesis
• Speaker identification.
• Acoustic modelling.
• Phonetic dictionaries
• Optical character recognition.
• Pedagogy.
• Assistive technologies.
• ANLP (annotated) resources such as dictionaries, thesauri, lexicons, ontologies, datasets, etc.
• Commercial applications of ANLP.
Submissions must address issues related to the processing of Arabic data in any of its versions (classic, Quranic, modern standard, dialectal, etc.) and any of its formats (text, audio, multimodality, etc.). Authors must consider reproducibility issues. i.e., they must provide enough details about their work such that other researchers are able to repeat their experiments and reproduce the same results. This is of special importance for both work-in-progress and commercial applications. An extended work from a previously published conference papers must have an extension of at least of 50% . The authors need to clearly show the differences between the submitted paper and the early published conference paper (s). During the submission process, authors need to select SI:Arabic-NL as the type of their submission.

Important Dates
Submission of Manuscripts: 1/11/ 2016
Notification to Authors: 15/3/ 2017
Final Versions Due: 15/5/ 2017

Guest Editors
Yaser Jararweh, Jordan University of Science and Technology, Jordan

Mahmoud Al-Ayyoub, Jordan University of Science and Technology, Jordan

Elhadj Benkhelifa, Staffordshire University, UK

Related Resources

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LREC 2018   Language Resources and Evaluation Conference
ICSC 2018   12th IEEE International Conference on Semantic Computing (ICSC 2018)
ANLP 2017   SIMBig 2017 - Special Track on Applied Natural Language Processing (Deadline extension)
ACLing 2017   The Third International Conference on Arabic Computational Linguistics
IALP 2017   The 21th International Conference on Asian Language Processing
ALTA 2017   15th Annual Workshop of the Australian Language Technology Association
IWSLT 2017   The 14th International Workshop on Spoken Language Translation
CLBib 2017   Second Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics
JARES 2017   International Journal of Advance Robotics & Expert Systems