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Knowledge-based intelligent error feedback in a Spanish ICALL system

Koller, Thomas (2003) Knowledge-based intelligent error feedback in a Spanish ICALL system. In: AICS 2003 - 14th Irish Artificial Intelligence and Cognitive Science, 17-19 September 2003, Dublin , Ireland.

Abstract
This paper describes the Spanish ICALL system ESPADA which helps language learners to improve their syntactical knowledge. The most important parts of ESPADA for the learner are a Demonstration Module and an Analysis Module. The Demonstration Module provides animated presentation of selected grammatical information. The Analysis Module is able to parse ill-formed sentences and to give adequate feedback on 28 different error types from different levels of language use (syntax, semantics, agreement). It contains a robust chart-based island parser which uses a combination of mal-rules and constraint relaxation to ensure that learner input can be analysed and appropriate error feedback can be generated.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:language learning;
Subjects:Humanities > Spanish language
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:15317
Deposited On:16 Mar 2010 12:12 by DORAS Administrator . Last Modified 19 Jul 2018 14:50
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