Morphological Aanalyzer for the Tunisian Dialect

  • Roua TorjmenEmail author
  • Kais Haddar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11107)


The morphological analysis is an important task for the Tunisian dialect processing because the dialect does not respect any standard and it is different for modern standard Arabic. In order to propose a method allowing the morphological analysis, we study many Tunisian dialect texts to identify different forms of written words. The proposed method is based on a self-constructed dictionary extracted from a corpus and a set of morphological local grammars implemented in the NooJ linguistic platform. Indeed, the morphological grammars are transformed into finite transducers while using NooJ’s new technologies. To test and evaluate the designed analyzer, we applied it on a Tunisian test corpus containing over 18,000 words. The obtained results are ambitious.


Tunisian dialect word Morphological grammar NooJ transducer 


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Faculty of Economic science and Management of Sfax, Miracl LaboratoryUniversity of SfaxSfaxTunisia
  2. 2.Faculty of Sciences of Sfax, Miracl LaboratoryUniversity of SfaxSfaxTunisia

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