In the Arab world, while Modern Standard Arabic is commonly used in formal written context, on sites like Youtube, people are increasingly using Dialectal Arabic, the language for everyday use to comment on a video and interact with the community. These user-contributed comments along with the video and user attributes, offer a rich source of multi-dialectal Arabic sentences and expressions fro...

In the Arab world, while Modern Standard Arabic is commonly used in formal written context, on sites like Youtube, people are increasingly using Dialectal Arabic, the language for everyday use to comment on a video and interact with the community. These user-contributed comments along with the video and user attributes, offer a rich source of multi-dialectal Arabic sentences and expressions fro...

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...

In this paper, we present the details of the Arabic Semantic Labeling task. We describe some of the features of Arabic that are relevant for the task. The task comprises two subtasks: Arabic word sense disambiguation and Arabic semantic role labeling. The task focuses on modern standard Arabic.

Arabic has some special syntax features which lead to complex syntax structures. We have developed a formal description of Arabic syntax in Definite Clause Grammar. This grarnrnar is characterized by its h igh descriptive power due to its dual formulat ion in terms of functions and in terms of grammatical categories. The developed g rammar has a high coverage of Arabic language and has context ...

In the traditional Arabic NLP a root-pattern relationship has generally been considered as a simple relationship, whereas the potential aspect of considering it as a statistical measure has extensively been neglected and even never formally considered. This paper attempts therefore to explore some issues involved in considering the classical phenomenon of Arabic root-pattern relationships as pr...

The Named Entity Recognition (NER) is a task in Information Extraction (IE). The Named entity recognition has become very important for natural language processing. The named entity recognition is defined as the detection and classification of entities from un-structured text where for the Arabic language, the named entity recognition is new in the natural language processing although it has pr...

1. Some Extended Arabic characters are typographical variants of characters already adequately covered by the corresponding Basic Arabic Characters; 2. 0626 ARABIC LETTER YEH WITH HAMZA ABOVE is actually a representation form of two nominal characters: 06D5 ARABIC LETTER AE followed by 0621 ARABIC LETTER HAMZA; 3. The graphemes for the aspirated phonemes of Urdu should be added; 06BE ARABIC LET...

Most Arabic natural language processing tools and resources are developed to serve Modern Standard Arabic (MSA), which is the official written language in the Arab World. Some Dialectal Arabic varieties, notably Egyptian Arabic, have received some attention lately and have a growing collection of resources that include annotated corpora and morphological analyzers and taggers. Gulf Arabic, howe...