MCQ Generator using Natural Language Processing

Examinations and Assessments are undergoing a tremendous revolution. Universities, colleges, and other educational institutes are increasingly shifting towards online examinations. The pattern of assessment is majorly shifting towards the objective assessment i.e., MCQ based, it is very hard to construct and requires a considerable amount of time for setting numerous questions. There’s a growing need for a cost effective and time-efficient automated MCQ generation system. In this paper, the text is first summarized using the T5 algorithm, and accordingly sentence mapping is done for generating MCQs. In order to generate choices for the questions, distractors are generated using Sense2vec (A lexical database for English). As the T5 algorithm has much better performance over other legacy methods as well as it can process a large amount of data in less time, it will enhance the speed of generating MCQs from given text.