Title:	Stochastic semantic analysis: technical report no. DCSE/TR-2009-04
Authors:	Habernal, Ivan
Issue Date:	2009
Publisher:	University of West Bohemia in Pilsen
Document type:	zpráva report
URI:	http://www.kiv.zcu.cz/publications/ http://hdl.handle.net/11025/21575
Keywords:	dialogový systém;porozumění mluvené řeči;stochastické modely
Keywords in different language:	dialogue system;spoken language understanding;stochastic models
Abstract in different language:	In human-computer dialogue systems, the task of Spoken Language Understanding (SLU) system is to process the input acoustic utterance and transform it into a semantic representation. The goal of semantic analysis is to represent what the subject intended to say. This thesis presented overview of the current state-of-the-art methods for statistical semantic analysis. In comparison to the expert based systems, the main advantage of stochastic approaches is the ability to train the model from data. Furthermore, systems based on statistical models can be easily ported to other domains. However, the amount of the annotation effort must be also taken into account when developing the stochastic semantic analysis system. In this thesis, fundamental stochastic models along with the training and evaluation of these models are described.
Rights:	© University of West Bohemia in Pilsen
Appears in Collections:	Zprávy / Reports (KIV)

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