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<?xml version="1.0" standalone="yes"?> <Paper uid="H05-2010"> <Title>WebExperimenter for multiple-choice question generation</Title> <Section position="3" start_page="18" end_page="18" type="intro"> <SectionTitle> 3 Related Studies </SectionTitle> <Paragraph position="0"> The application of NLP techniques to generation of multiple-choice questions does not have a long history. Few attempts had been made before (Mitkov and Ha, 2003), in which a semi-automatic question generation on student's knowledge of linguistic terms are evaluated. Sumita et al. used automatically generated questions to measure test taker's proficiency in English (2005). We are proposing a machine learning approach which depends on a training on a collection of manually made questions (Hoshino and Nakagawa, 2005).</Paragraph> </Section> class="xml-element"></Paper>