INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE
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 o...
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| Format: | Thesis |
| Language: | English |
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DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
2021
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| Online Access: | http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/635 |
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| author | SIDDIQUE, RAZIA MARZIA ASHEQUE |
| author_browse | SIDDIQUE, RAZIA MARZIA ASHEQUE |
| author_facet | SIDDIQUE, RAZIA MARZIA ASHEQUE |
| author_sort | SIDDIQUE, RAZIA MARZIA ASHEQUE |
| collection | DSpace |
| description | 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. |
| format | Thesis |
| id | oai:localhost:123456789-635 |
| institution | My University |
| language | English |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING |
| publisherStr | DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING |
| record_format | dspace |
| spelling | oai:localhost:123456789-6352021-09-30T08:11:23Z INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE SIDDIQUE, RAZIA MARZIA ASHEQUE QA system, Answer Extraction, Information Retrieval, Distractor Generation, Natural Language Processing (NLP). 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. 2021-09-30T08:11:21Z 2021-09-30T08:11:21Z 2020-07 Thesis http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/635 en application/pdf DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING |
| spellingShingle | QA system, Answer Extraction, Information Retrieval, Distractor Generation, Natural Language Processing (NLP). SIDDIQUE, RAZIA MARZIA ASHEQUE INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE |
| title | INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE |
| title_full | INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE |
| title_fullStr | INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE |
| title_full_unstemmed | INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE |
| title_short | INTELLIGENT MCQ OPTION GENERATOR AND ANSWERING SYSTEM FOR BANGLA LANGUAGE |
| title_sort | intelligent mcq option generator and answering system for bangla language |
| topic | QA system, Answer Extraction, Information Retrieval, Distractor Generation, Natural Language Processing (NLP). |
| url | http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/635 |
| work_keys_str_mv | AT siddiqueraziamarziaasheque intelligentmcqoptiongeneratorandansweringsystemforbanglalanguage |