Journal of KIISE:Software and Applications (한국정보과학회논문지:소프트웨어및응용)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

Example-based Dialog System for English Conversation Tutoring

영어 회화 교육을 위한 예제 기반 대화 시스템

  • Published : 2010.02.15
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we present an Example-based Dialogue System for English conversation tutoring. It aims to provide intelligent one-to-one English conversation tutoring instead of old fashioned language education with static multimedia materials. This system can understand poor expressions of students and it enables green hands to engage in a dialogue in spite of their poor linguistic ability, which gives students interesting motivation to learn a foreign language. And this system also has educational functionalities to improve the linguistic ability. To achieve these goals, we have developed a statistical natural language understanding module for understanding poor expressions and an example-based dialogue manager with high domain scalability and several effective tutoring methods.

본 논문에서는 영어 회화 교육을 위한 예제 기반 대화 시스템에 대해 논한다. 기존의 획일적인 멀티미디어 영어 학습에서 벗어나 자연어 처리 및 대화 기술을 이용하여 지능적인 일대일 영어 회화 교육 제공을 목적으로 한다. 본 시스템은 미숙한 학습자 발화를 이해할 수 있으므로 불완전한 언어 구사 능력으로도 대화를 참여할 수 있는 체험형 학습을 제공한다. 이를 통해 학습자에게 영어를 배우려는 흥미로운 동기를 부여한다. 또한 학습자의 표현력 향상을 위한 교육적인 도움 기능을 갖추고 있다. 이를 위해 우리는 학습자의 미숙한 표현을 이해하는 담화 상황 고려 발화의도 인식 모델, 도메인 확장성이 뛰어난 예제 기반 대화 관리 모델, 교육 및 평가 기능을 개발하였다. 실험 결과 학습자의 발화에 에러가 많아도 높은 발화의도 인식 성능을 보였으며 대화 상황에 적합한 피드백을 제공하여 학습자가 회화 연습을 끝까지 마치도록 도와 교육 효과에 이바지함을 알 수 있었다.

Keywords

References

  1. Mayfield, L., Wang, L., and Eskenazi, M., "An empirical study of the effectiveness of speechrecognition-based pronunciation training," In Proceedings of the 6th ICSLP, Volume 1, pp.677-680, 2000.
  2. Swain, M., The output hypothesis: Theory and research in E. Hinkel (ed.): Handbook of Research in Second Language Teaching and Learning, Mahwah, NJ: Lawrence Erlbaum Associates, pp. 471-83. 2005.
  3. Long, M. H. The role of the linguistic environment in second language acquisition in W. C. Ritchie and T. K. Bhatia (eds): Handbook of Second Language Acquisition. New York: Academic Press, pp.413-68. 1996.
  4. Schneider, David, and McCoy K. F. Recognizing Syntactic Errors in the Writing of Second Language Learners. In Proceedings of the Thirty-Sixth Annual Meeting of the Association for Computational Linguistics and the Seventeenth International Conference on Computational Linguistics (COLING-ACL), Volume 2. 1998.
  5. Raux, A. and Eskenazi, M. Using Task-Oriented Spoken Dialog Systems for Language Learning. Potential, Practical Applications and Challenges, Proceedings INSTIL. 2004.
  6. Morton, H. and Jack, M. A. Scenario-Based Spoken Interaction with Virtual Agents, Computer Assisted Language Learning, 18:3 pp.171-191. 2005. https://doi.org/10.1080/09588220500173344
  7. Ratnaparkhi, A., "Maximum Entropy Models for Natural Language Ambiguity Resolution," PhD thesis, University of Pennsylvania, 1998.
  8. Dasarathy, B. V., Nearest neighbor (NN) norms: NN pattern classification techniques, Los Alamitos: IEEE Computer Society Press. 1990.
  9. Lee, S., and Lee, G., "Recognizing Language Learners' Intention using Dialog Context," Korean Society of Speech Sciences 2008.
  10. Lafferty, J., McCallum, A., and Pereira, F., "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data," Proc. Int'l Conf. Machine Learning, 2001.
  11. Lee, C., Eun, J., Jeong, M., Lee, G., Hwang, Y., and Jang, M., "A multi-strategic concept spotting approach for robust spoken Korean understanding," ETRI journal, vol.29, no.2. pp.178-188, 2007.
  12. Lee, C., Jung, S., Kim, S., Lee, G. Example-based dialog modeling for practical multi-domain dialog system. Speech Communications, 51:5 (466-484), May, 2009. https://doi.org/10.1016/j.specom.2009.01.008
  13. Lee, C., Jung, S., Eun, J., Jeong, M., and Lee, G., "Chat and Goal-oriented Dialog Together: A Unified Example-based Architecture for Multidomain Dialog Management," in Proceedings of the IEEE Spoken Language Technology Workshop, pp.194-197. 2006.
  14. Jung S., Lee C., Kim K., Lee G., "An integrated dialog simulation technique for evaluating spoken dialog systems," Proceedings of the COLING workshop on Speech Processing for Safety Critical Translation and Pervasive Applications. 2008.
  15. Foster J., "Treebanks Gone Bad: Parser evaluation and retraining using a treebank of ungrammatical sentences," International Journal on Document Analysis and Recognition, 10(3-4), 129-145. 2007. https://doi.org/10.1007/s10032-007-0059-8
  16. Lee, S., and Lee, G., "Realistic grammar error simulation using markov logic," in Proceedings of the ACL 2009, Singapore, August 2009.