Affix-based distractor generation for tamil multiple choice questions using neural word embedding

Simple item page
dc.contributor.authorMurugan, Shanthi
dc.contributor.authorBalasundaram, S.R.
dc.date.accessioned2026-11-06T11:02:02Z
dc.date.available2026-11-06T11:02:02Z
dc.date.issued2021-05-12
dc.description.abstractAssessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are not useful in real educational applications. This is because of the inability to produce the diverse and human alike distractors. Distractors are the wrong choices given along with the correct answer (key) to confuse the examinee. Especially, in educational domain (grammar learning) the MCQs deal with affix-based or morphologically transformed distractors. In this paper, we present a method for automatic generation of affix-based distractors for fill-in-the-blanks for learning Tamil Vocabulary. Affix-based distractor generation relies on certain regularities manifest in high dimensional spaces. We investigate the quality of distractors generated by a number of criteria, including Part-Of-Speech, difficulty level, spelling, word co-occurrence, semantic similarity and affixation. We evaluated our proposed method in grammar based Multiple Choice Questions (MCQs) dataset. The result shows that affix-based distractors, yield significantly more plausible outcomes in certain grammar based questions
dc.identifier.issn09752935
dc.identifier.urihttp://rupkatha.com/V13/n2/v13n216.pdf
dc.identifier.urihttp://nitt.ndl.gov.in/handle/123456789/415
dc.language.isoen
dc.publisherAesthetics Media Services
dc.relation.ispartofseriesRupkatha Journal on Interdisciplinary Studies in Humanities; Vol. 13/ No. 2
dc.titleAffix-based distractor generation for tamil multiple choice questions using neural word embedding
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Affix-based distractor generation for tamil multiple choice questions using neural word embedding.pdf
Size:
408.5 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
licence.pdf
Size:
86.57 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Journal Articles