Error recovery for robust language understanding in spoken dialogue systems
نویسندگان
چکیده
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.
منابع مشابه
Studies on Robust Language and Dialogue Processing for Spoken Dialogue Systems
In spoken dialogue systems, robust language processing for spontaneous speech understanding and robust dialogue processing for achieving user goal are inevitable. Previously, research of speech recognition and research of natural language understanding were done independently. At first glance, it seems to be no problem to combine these two technologies, because the purpose of speech recognition...
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