Advertisement

Morphological Aanalyzer for the Tunisian Dialect

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

Abstract

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.

Keywords

Tunisian dialect word Morphological grammar NooJ transducer 

References

  1. 1.
    Al-Shargi, F., Kaplan, A., Eskander, R., Habash, N., Rambow, O.: Morphologically annotated corpora and morphological analyzers for Moroccan and Sanaani Yemeni Arabic. In: 10th Language Resources and Evaluation Conference, (LREC 2016), Portoroz, Slovenia, May 2016, pp. 1300–1306 (2016)Google Scholar
  2. 2.
    Boujelbane, R., Khemekhem, M. E., Belguith, L. H.: Mapping rules for building a Tunisian dialect Lexicon and generating corpora. In: Proceedings of the Sixth International Joint Conference on Natural Language Processing, Nagoya, Japan, 14–18 October 2013, pp. 419–428 (2013)Google Scholar
  3. 3.
    Hammouda, N.G., Haddar, K.: Parsing Arabic nominal sentences with transducers to annotate corpora. Comput. Sist. Adv. Hum. Lang. Technol. 21(4), 647–656 (2017). (Guest Ed. Gelbukh, A.)Google Scholar
  4. 4.
    Harrat, S., Meftouh, K., Abbas, M., Smaili, K.: Building resources for Algerian Arabic dialects. In: Fifteenth Annual Conference of the International Speech Communication Association, Singapore, 14–18 September 2014, pp. 2123–2127 (2014)Google Scholar
  5. 5.
    Mesfar, S.: Analyse morpho-syntaxique et reconnaissance des entités nommées en arabe standard. Doctoral dissertation, thèse, Université de franche-comté, France (2008)Google Scholar
  6. 6.
    Silberztein, M.: NooJ’s dictionaries. In: Proceedings of LTC, Poland, 21–23 April 2005, vol. 5, pp. 291–295 (2005)Google Scholar
  7. 7.
    Zribi, I., Ellouze, M., Belguith, L.H., Blache, P.: Morphological disambiguation of Tunisian dialect. J. King Saud Univ.-Comput. Inf. Sci. 29(2), 147–155 (2017)Google Scholar
  8. 8.
    Zribi, I., Khemakhem, M.E., Belguith, L.H.: Morphological analysis of Tunisian dialect. In: Proceedings of the Sixth International Joint Conference on Natural Language Processing, Nagoya, Japan, 14–18 October 2013, pp. 992–996 (2013)Google Scholar

Copyright information

© 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

Personalised recommendations