TALAA
collections of articles 
USTHB Algeria
Building TALAA, a Free General and Categorized Arabic Corpus 

topic classification
Conference on Agents and Artificial Intelligence
Essma Selab,A. Guessoum
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.