New Issues and Solutions in Computer-aided Design of MCTI and Distractor Selection for Bulgarian

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 morphosyntactic rules on raw instructional material in order to determine its key terms. These key terms are then used for the creation of fill-inthe 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.