Skip to main content

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

  • Conference paper
Computational Linguistics and Intelligent Text Processing (CICLing 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bahou, Y., Belguith, H.L., Ben Hamadou, A.: Towards a Human-Machine Spoken Dialogue in Arabic. In: 6th Language Resources and Evaluation Conference (LREC 2008),Workshop HLT Within the Arabic World. Arabic Language and Local Languages Processing Status Updates and Prospects, Marrakech, Morocco (2008b)

    Google Scholar 

  2. Hadrich Belguith, L., Bahou, Y., Ben Hamadou, A.: Une méthode guidée par la sémantique pour la compréhension automatique des énoncés oraux arabes. International Journal of Information Sciences for Decision Making (ISDM) 35 (Septembre 2009)

    Google Scholar 

  3. Bonneau Maynard, H., Rosset, S., Ayache, C., Kuhn, A., Mostefa, D.: Semantic Annotation of the French Media Dialog Corpus. In: 9th European Conference on Speech Communication and Technology (2005)

    Google Scholar 

  4. Chelba, Jelinek, F.: Structured language modeling. Computer, Speech and Language 14(4), 283–332 (2000)

    Google Scholar 

  5. El-Bèze, Sprit, T.: Stratégie mixte d’étiquetage syntaxique : Statistiques et connaissances Revue TAL 36(1-2), 47–66 (1995)

    Google Scholar 

  6. Minker, W.: Compréhension Automatique de la Parole Spontanée. L’Harmattan (1999)

    Google Scholar 

  7. Minker, W., Bennacef, S.: Speech And Human-Machine Dialog. Kluwer Academic Publishers Group, Pays-Bas (2004)

    MATH  Google Scholar 

  8. Riccardi, Gorin, A.L.: Stochastic language adaptation over time and state in natural spoken dialogue systems. IEEE Transactions on Speech and Audio Processing 8(1), 3–10 (2000)

    Google Scholar 

  9. Sallomaa: Probabilistic and weighted grammars. Information and Control, 15, 529–544 (1969)

    Google Scholar 

  10. Zouaghi, A., Zrigui, M., Antoniadis, G.: Compréhension Automatique de la Parole Arabe Spontanée. Une Modélisation Numérique, Traitement Automatique des Langues (TAL 2008) 49(1), 141–166 (2008)

    Google Scholar 

  11. Zouaghi, A., Zrigui, M., Ben Ahmed, M.: Un Étiqueteur Sémantique des Énoncés en Langue Arabe. In: Actes de la 12ème Conférence sur le Traitement Automatique des Langues Naturelles (TALNRECITAL 2005), Dourdan, France (2005)

    Google Scholar 

  12. Collins, M.: Probabilistic Context-Free Grammars (PCFGs), http://www.cs.columbia.edu/

  13. Brill, E.: Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part of speech Tagging. Computational Linguistics 21, 4 (1995b)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lhioui, C., Zouaghi, A., Zrigui, M. (2013). A Combined Method Based on Stochastic and Linguistic Paradigm for the Understanding of Arabic Spontaneous Utterances. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2013. Lecture Notes in Computer Science, vol 7817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37256-8_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37256-8_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37255-1

  • Online ISBN: 978-3-642-37256-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics