Sixth European Conference on Speech Communication and Technology

Budapest, Hungary
September 5-9, 1999

Error Recovery for Robust Language Understanding in Spoken Dialogue Systems

Tung-Hui Chiang, Yi-Chung Lin

Advanced Technology Center, Computer and Communications Laboratories, Industrial Technology Research Institute, Chutung, Taiwan

In this paper, we proposed an example-based approach aiming at recovering ill-formed inputs to improve robustness of spoken dialogue systems. In this approach, a treebank, which contains example sentences and their correct parse trees, is used to provide clues for fixing the errors of ill-formed inputs. Particularly, the proposed error recovery method is suitable for spoken dialogue application because of computationally efficiency. In addition, when evaluated in a Mandarine spoken dialogue system, the proposed method has shown to improve the system's understaning rate very significantly.

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Bibliographic reference.  Chiang, Tung-Hui / Lin, Yi-Chung (1999): "Error recovery for robust language understanding in spoken dialogue systems", In EUROSPEECH'99, 2007-2010.