ETRI Journal
- Volume 29 Issue 2
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- Pages.179-188
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- 2007
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- 1225-6463(pISSN)
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- 2233-7326(eISSN)
A Multi-Strategic Concept-Spotting Approach for Robust Understanding of Spoken Korean
- Lee, Chang-Ki (Embedded S/W Research Division, ETRI) ;
- Eun, Ji-Hyun (Future Technology Laboratory, KT) ;
- Jeong, Min-Woo (Department of Computer Science and Engineering, POSTECH) ;
- Lee, Gary Geun-Bae (Department of Computer Science and Engineering, POSTECH) ;
- Hwang, Yi-Gyu (Embedded S/W Research Division, ETRI) ;
- Jang, Myung-Gil (Embedded S/W Research Division, ETRI)
- Received : 2006.08.11
- Published : 2007.04.30
Abstract
We propose a multi-strategic concept-spotting approach for robust spoken language understanding of conversational Korean in a hostile recognition environment such as in-car navigation and telebanking services. Our concept-spotting method adopts a partial semantic understanding strategy within a given specific domain since the method tries to directly extract predefined meaning representation slot values from spoken language inputs. In spite of partial understanding, we can efficiently acquire the necessary information to compose interesting applications because the meaning representation slots are properly designed for specific domain-oriented understanding tasks. We also propose a multi-strategic method based on this concept-spotting approach such as a voting method. We present experiments conducted to verify the feasibility of these methods using a variety of spoken Korean data.
Keywords