Name: TALAA
Description: collections of articles 
Provider: USTHB Algeria
Paper Title: Building TALAA, a Free General and Categorized Arabic Corpus 
  
Tasks: topic classification
Venue Name: Conference on Agents and Artificial Intelligence
Authors: Essma Selab,A. Guessoum
Abstract: Arabic natural language processing (ANLP) has gained increasing interest over the last decade. However, 
    
   the development of ANLP tools depends on the availability of large corpora. It turns out unfortunately that 
    
   the scientific community has a deficit in large and varied Arabic corpora, especially ones that are freely 
    
   accessible. With the Internet continuing its exponential growth, Arabic Internet content has also been 
    
   following the trend, yielding large amounts of textual data available through different Arabic websites. This 
    
   paper describes the TALAA corpus, a voluminous general Arabic corpus, built from daily Arabic 
    
   newspaper websites. The corpus is a collection of more than 14 million words with 15,891,729 tokens 
    
   contained in 57,827 different articles. A part of the TALAA corpus has been tagged to construct an 
    
   annotated Arabic corpus of about 7000 tokens, the POS-tagger used containing a set of 58 detailed tags. The 
    
   annotated corpus was manually checked by two human experts. The methodology used to construct TALAA 
    
   is presented and various metrics are applied to it, showing the usefulness of the corpus. The corpus can be 
    
   made available to the scientific community upon authorisation.