Special Issue on Arabic NLP Editor-in-Chief M.M. Alsulaiman
Including the introduction, twelve open access articles on Arabic NLP.
From the introduction:
Arabic natural language processing (NLP) is still in its initial stage compared to the work in English and other languages. NLP is made possible by the collaboration of many disciplines including computer science, linguistics, mathematics, psychology and artificial intelligence. The results of which is highly beneficial to many applications such as Machine Translation, Information Retrieval, Information Extraction, Text Summarization and Question Answering.
This special issue of the Journal of King Saud University – Computer and Information Sciences (CIS) synthesizes current research in the field of Arabic NLP. A total of 56 submissions was received, 11 of which were finally accepted for this special issue. Each accepted paper has gone through three rounds of reviews, each round with two to three reviewers. The content of this special issue covers different topics such as: Dialectal Arabic Morphology, Arabic Corpus, Transliteration, Annotation, Discourse Relations, Sentiment Lexicon, Arabic named entities, Arabic Treebank, Text Summarization, Ontological Relations and Authorship attribution. The following is a brief summary of each of the main articles in this issue.
If you are interested in doing original NLP work, not a bad place to start looking for projects.
I first saw this in a tweet by Tony McEnery.