A computer-aided environment for generating multiple-choice test items
Natural Language Engineering
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EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
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We describe a methodology for improving the generation of multiple-choice test items through the usage of language technologies. We apply common natural language processing techniques, like constituency parsing and automatic term extraction together with additional morpho-syntactic rules on raw instructional material in order to determine its key terms. These key terms are then used for the creation of fill-in-the blank test items and the selection of distractors. Our work aims at proving the availability and compatibility of language resources and technologies for Bulgarian, as well as at assessing the readiness for implementation of these techniques in real-world applications.