Article contents
Error diagnosis for language learning systems
Published online by Cambridge University Press: 26 August 2021
Abstract
A diagnostic component for natural language utterances has been devised which allows one to integrate (possibly inconsistent) evidence from a wide range of knowledge sources into a unique decision procedure. It is based on a procedure for the disambiguation of dependency structures using graded constraints. Different description levels like syntax, semantics, and others are treated by separate structural representations, which are disambiguated simultaneously. Due to the complete symmetry of the system architecture the approach allows for the successful handling of a wide variety or student errors.
- Type
- Research Article
- Information
- ReCALL , Volume 11 , Issue S1: Natural Language Processing In Computer-Assisted Language Learning , May 1999 , pp. 20 - 30
- Copyright
- Copyright © The Author(s) 1999
Footnotes
This article is an extended version of a paper presented at the NLP+IA 98 conference in Moncton, Canada.
References
- 4
- Cited by