INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE

Abstract

This study incorporates automatic question answering (QA) system, which is one of the most important sub-fields of Natural Language Processing (NLP). Here, the system comprises two phases. In the first phage, the system generates four automatic options of the answer for the input question based on the given topic. On the other phase, the system provides multiple choice questions where an examinee can answer the questions within a time constraint. Based on the examinees answers he/she will get a score. It may be mentioned that the question may be multiple choice and descriptive, but this report only deals with factoid or multiple-choice questions. Both parts of the research were implemented for Bangla Language which is one of the low resource languages. Because of the scarcity of resources, the research based on Bangla Language does not reach up to the mark. Nowadays the availability of internet resource for the Bangla Language attract researchers for doing research at different dimensions though the accuracy depends on whether the corpus is domain oriented or generalized. For domain-oriented corpus, the accuracy of the application is very good but the application based on the generalized corpus provides accuracy which is not satisfactory in some cases. It is observed from the system investigation that the first and the second phases provide the low and high accuracy respectively based on the domain-oriented data. The originality of the project is phase-I which generates four options based on the input question for Bangla Language by using the n-gram language model.