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<Paper uid="N04-4016">
  <Title>Correction Grammars for Error Handling in a Speech Dialog System</Title>
  <Section position="9" start_page="0" end_page="0" type="concl">
    <SectionTitle>
8 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this paper, we proposed an error handling method based on dynamic generation of correction grammars to recognize the user corrections which follow system errors. The correction grammars detect system errors and also repair the dialog flow, improving task completion rates and reducing the average number of dialog turns. We developed a prototype dialog system using the proposed method, and demonstrated empirically that the success rate improved by 7.0%, and the number of turns was reduced by 3.</Paragraph>
    <Paragraph position="1"> The creation of rules for correction utterances based on the dialog history could be applicable to dialog systems which use speech recognition or natural language processing and other kinds of rules beyond regular grammars; we plan to study this in future work. We are also planning to develop an algorithm to improve the precision of corrections that are based on the set of recognition candidates for the correction utterance and an error recovery strategy. We also plan to apply the proposed method to other types of dialogs, such as user-initiative dialogs and mixed-initiative dialogs.</Paragraph>
  </Section>
class="xml-element"></Paper>