Advertisement
Published in:
2013 | OriginalPaper | Chapter
A Combined Method Based on Stochastic and Linguistic Paradigm for the Understanding of Arabic Spontaneous Utterances
Authors : Chahira Lhioui, Anis Zouaghi, Mounir Zrigui
Published in: Computational Linguistics and Intelligent Text Processing
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.