Název:	Stochastic semantic analysis: technical report no. DCSE/TR-2009-04
Autoři:	Habernal, Ivan
Datum vydání:	2009
Nakladatel:	University of West Bohemia in Pilsen
Typ dokumentu:	zpráva report
URI:	http://www.kiv.zcu.cz/publications/ http://hdl.handle.net/11025/21575
Klíčová slova:	dialogový systém;porozumění mluvené řeči;stochastické modely
Klíčová slova v dalším jazyce:	dialogue system;spoken language understanding;stochastic models
Abstrakt v dalším jazyce:	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.
Práva:	© University of West Bohemia in Pilsen
Vyskytuje se v kolekcích:	Zprávy / Reports (KIV)

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.