Systèmes de compréhension et de traduction de la parole : vers une approche unifiée dans le cadre de la portabilité multilingue des systèmes de dialogue

Abstract : The generalisation of human-machine dialogue system increases the need for a rapid development of the various components of these systems. Dialogue systems can be designed for different applications and in different languages. The need for a fast production of systems for new languages ​​is still an open and crucial issue which requires effective solutions. Our work is particularly interested in speech understanding module and propose approaches for language portability of this module. The statistical methods showed good performance to design modules for speech understanding. However, these methods require large corpora to be trained. The collection of these corpora is expensive in time and human expertise. In this thesis, we propose several approaches to port an understanding system from one language to another using machine translation techniques. The experimental results show that the use of machine translation allows to produce efficient systems with minimal human effort. This thesis addresses both machine translation and speech understanding domain. We conducted a comparison between the methods used for each task and we have proposed a joint decoding between translation and understanding based on a discriminant method. This decoding is achieved by a graph-based approach which allows to compose a translation graph with an understanding graph. This representation can be generalized to allow a rich transmission of information between the components of the dialogue system.
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https://tel.archives-ouvertes.fr/tel-00818970
Contributor : Bassam Jabaian <>
Submitted on : Tuesday, April 30, 2013 - 10:22:25 AM
Last modification on : Friday, March 22, 2019 - 11:34:06 AM
Long-term archiving on : Tuesday, April 4, 2017 - 1:43:16 AM

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  • HAL Id : tel-00818970, version 1

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Bassam Jabaian. Systèmes de compréhension et de traduction de la parole : vers une approche unifiée dans le cadre de la portabilité multilingue des systèmes de dialogue. Intelligence artificielle [cs.AI]. Université d'Avignon, 2012. Français. ⟨tel-00818970v1⟩

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