Sensitive parsing: error analysis and explanation in an intelligent language tutoring system

  • Authors:
  • Camilla Schwind

  • Affiliations:
  • C.N.R.S./G.R.T.C., 31, chemin Joseph Aiguier, Marseille, France

  • Venue:
  • COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
  • Year:
  • 1988

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Abstract

We present a uniform framework for dealing with errors in natural language sentences within the context of automated second language teaching. The idea is to use a feature grammar and to analyse errors as being sentences where features have other values than those they should have. By using a feature grammar it is possible to describe various types of errors (agreement, syntactic and semantic errors) in a uniform framework, to define in a clear and transparent way what an error is and - this is very important for our application - to analyse errors as arising form a misunderstanding or ignorance of grammatical rules on the part of students.