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A Combined Method Based on Stochastic and Linguistic Paradigm for the Understanding of Arabic Spontaneous Utterances

  • Chahira Lhioui
  • Anis Zouaghi
  • Mounir Zrigui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7817)

Abstract

ASTI is an Arabic-speaking spoken language understanding (SLU) system which carries out two kinds of analysis which are relatively opposed. It is designed for touristic field to tell trippers about something that interests them. Based on a dual approach, the system adapts the idea of stochastic approach to the probabilistic context free grammar (PCFG) (approach based on rules). This paper provides a detailed description of ASTI system as well as well as results compared with several international ones. The observed error rates suggest that our combined approach can stand a comparison with concept spotters on larger application domains.

Keywords

Hidden Markov Model (HMM) Probabilistic Grammar free Context PCFG corpus Wizard of Oz 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chahira Lhioui
    • 1
    • 4
  • Anis Zouaghi
    • 2
  • Mounir Zrigui
    • 3
  1. 1.ISIM of MedenineGabes UniversityMedenineTunisia
  2. 2.ISSAT of SousseSousse UniversityTaffala city (Ibn Khaldoun)Tunisia
  3. 3.FSM of MonastirMonastir UniversityMonastirTunisia
  4. 4.LATICE LaboratoryESSTT TunisTunisia

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