A Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency: Design and Evaluation

  • Lisa N. Michaud
  • Kathleen F. McCoy
  • Rashida Z. Davis
Article

Abstract

This paper discusses the design and evaluation of an implemented user model in ICICLE, an instruction system for users writing in a second language. We show that in the task of disambiguating natural language parses, a blended model combining overlay techniques with user stereotyping representing typical linguistic acquisition sequences captures user individuality while supplementing incomplete information with stereotypic reasoning

Keywords

computer-aided language learning learner modeling natural language parse disambiguation 

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References

  1. Allen, J. 1995Natural Language Understanding2Benjamin/CummingsCaliforniaGoogle Scholar
  2. Antworth, E.L. 1990PC-KIMMO: A Two-level Processor for Morphological Analysis, No. 16 in Occasional Publications in Academic ComputingSummer Institute of LinguisticsDallas, TXGoogle Scholar
  3. Barchan, J., Woodmansee, B., Yazdani, M. 1986A PROLOG -based tool for French grammar analysisInstructional Science152148CrossRefGoogle Scholar
  4. Bull, S. 1994Student modelling for second language acquisitionComputers & Education.231320Google Scholar
  5. Bull, S., Brna, P., Pain, H. 1995Extending the scope of the student modelUser Modeling and User-Adapted Interaction.54565Google Scholar
  6. Bull, S., Pain, H., Brna, P. 1995Mr. C ollins: a collaboratively constructed, inspectable student model for intelligent computer assisted language learningInstructional Science.236587Google Scholar
  7. Cawsey A. (1990). Generating explanatory discourse. In: Dale R., Mellish C., Zock M. (ed). Current Research in Natural Language Generation. pp. 75–101Google Scholar
  8. Cawsey, A. 1993Explanation and Interaction: The Computer Generation of Explanatory DialoguesMIT PressCambridge, MAGoogle Scholar
  9. Chanier, T., Pengelly, M., Twidale, M., Self, J. 1992

    Conceptual modelling in error analysis in computer-assisted language learning systems

    Swartz, M.L.Yazdani, M. eds. Intelligent Tutoring Systems for Second-Language Learning, Vol. F80 of NATO ASI SeriesSpringer-VerlagBerlin, Heidelberg125150
    Google Scholar
  10. Chin D.N. (1986). User Modeling in UC, the UNIX Consultant. In: Proceedings of the CHI’86 Conference. Boston, MA, pp. 13–17Google Scholar
  11. Chin, D.N. 1989

    KNOME: modeling what the User knows in UC

    Kobsa, A.Wahlster, W. eds. User Models in Dialog Systems.Springer-verlagBerlin, Heidelberg
    Google Scholar
  12. Grishman R., Macleod C., Meyers A. (1994). Comlex syntax: Building a Computational lexicon. In: Proceedings of the 15th International Conference on Computational Linguistics. Kyoto, JapanGoogle Scholar
  13. Heift T., McFetridge P. (1999). Exploiting the Student Model to Empasize Language Teaching in Natural Language Processing. In: Olsen M.B. (ed). Proceedings of Computer-Mediated Language Assessment and Evaluation in Natural Language Processing, an ACL-IALL Symposium. College Park, MD, pp. 55–61Google Scholar
  14. Jurafsky, D., Martin, J.H. 2000Speech and Natural Language ProcessingPrentice-HallUpper Saddle River, NJGoogle Scholar
  15. Manning, C.D., Schultz, H. 2002Foundations of Statistical Natural Language ProcessingMIT PressCambridge, MAGoogle Scholar
  16. Michaud L.N. (2002). Modeling User Interlanguage in a Second Language Tutoring System for Deaf Users of American Sign Language. Ph.D. thesis, Dept. of Computer and Information Sciences, University of Delaware. Tech. Report #2002-08Google Scholar
  17. Michaud L.N., McCoy K.F. (2001). Error Profiling: Toward a Model of English Acquisition for Deaf Learners. In: Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics. Toulouse, France, pp. 386–393Google Scholar
  18. Michaud L.N., McCoy K.F. (2003). Evaluating a Model to Disambiguate Natural Language. In: P. Brusilovsky, A. Corbett, and F. de Rosis (eds.): Proceedings of the 9th International Conference on User Modeling , Vol. 2702 of Lecture Notes in Artificial Intelligence. Johnstown, PA, pp. 96–105Google Scholar
  19. Michaud, L.N., McCoy, K.F. 2004Empirical Derivation of a Sequence of User StereotypesUser Modeling and User-Adapted Interaction.14317350CrossRefGoogle Scholar
  20. Michaud L.N., McCoy K.F., Stark L.A. (2001). Modeling the Acquisition of English: an Intelligent CALL Approach. In: Bauer M., Gmytrasiewicz P.J., Vassileva J. (ed.). Proceedings of the 8th International Conference on User Modeling, Vol. 2109 of Lecture Notes in Artificial Intelligence. Sonthofen, Germany, pp. 14–23Google Scholar
  21. Power, D.J., Quigley, S.P. 1973Deaf children’s acquisition of the passive voiceJournal of Speech and Hearing Research.16511Google Scholar
  22. Quigley, S.P., Power, D.J., Steinkamp, M.W. 1977The language structure of deaf childrenThe Volta Review.797384Google Scholar
  23. Schneider D., McCoy K.F. (1998). 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 , Vol. 2. Université de Montré al, Montré al, Qué bec, Canada, pp. 1198–1204Google Scholar
  24. Schuster E., Burckett-Picker J. (1996). Interlanguage Errors Becoming the Target Language Through Student Modeling. In: Proceedings of the Fifth International Conference on User Modeling. Kailua-Kona, Hawai’i, pp. 99–103Google Scholar
  25. Selinker, L. 1972InterlanguageInternational Review of Applied Linguistics.10209231Google Scholar
  26. Steinkamp, M.W., Quigley, S.P. 1977Assessing deaf children’s written languageThe Volta Review.791018Google Scholar
  27. Suri L.Z., McCoy K.F. (1993). A methodology for developing an error taxonomy for a computer assisted language learning tool for second language learners. Technical Report TR-93-16, Department of Computer and Information Sciences, University of DelawareGoogle Scholar
  28. Tasso C., Fum D., Giangrandi P. The use of explanation-based learning for modeling student behavior in foreign language tutoring. In: Intelligent Tutoring Systems for Foreign Language Learning: The Bridge to International Communication , pp. 151–170Google Scholar
  29. Tversky, A. 1977Features of SimilarityPsychological Review.84327352Google Scholar
  30. Vygotsky L.S. (1986). Thought and Language. Cambridge, Massachusetts: The MIT Press. Translation revised and edited by Alex Kozulin; originally published in 1934Google Scholar
  31. Wilbur, R.B. 1977An explanation of deaf children’s difficulty with certain syntactic structures of EnglishThe Volta Review.798592Google Scholar

Copyright information

© Springer 2005

Authors and Affiliations

  • Lisa N. Michaud
    • 1
  • Kathleen F. McCoy
    • 2
  • Rashida Z. Davis
    • 1
  1. 1.Department of Mathematics and Computer ScienceWheaton CollegeNortonUSA
  2. 2.Department of Computer and Information SciencesUniversity of DelawareNewarkUSA

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