Using Task-Oriented Spoken Dialogue Systems for Language Learning: Potential, Practical Applications and Challenges

نویسندگان

  • Antoine Raux
  • Maxine Eskenazi
چکیده

The technology developed for task-based spoken dialogue systems (SDS) has a significant potential for Computer-Assisted Language Learning. Based on the CMU Let’s Go SDS, we describe two areas in which we investigated adaptations of the technology to non-native speakers: speech recognition and correction prompt generation. Although difficulties remain, particularly towards robust understanding, results prove that this technology can be used to provide realistic, involved environment for language learning.

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تاریخ انتشار 2004