dc.contributor.author | Kowser, Sultana | |
dc.contributor.author | Rahman, Shuchita | |
dc.contributor.author | Shojol, Dewan Ashikuzzaman | |
dc.contributor.author | Kabir, Moumita | |
dc.date.accessioned | 2019-02-04T10:09:03Z | |
dc.date.available | 2019-02-04T10:09:03Z | |
dc.date.issued | 2019-02-04 | |
dc.identifier.uri | http://dspace.uiu.ac.bd/handle/52243/744 | |
dc.description.abstract | In this modern era Text Similarity Measurement is one of the most vital concerns. We are constantly driven to improve our system to minimize human error by achieving high accuracy and Machine Learning algorithm is serving the same purpose in many aspects like plagiarism checking, answer script checking, optimized search engine etc. Over last decade there have been significant improvements in this era. This paper is focused to develop a text similarity system which will allow teachers to check a script by comparing with a standard answer registered in the system. The objective is not only limited to reduce the time but also eradicates the possibility of biasness. The book describes the algorithm process and accuracy checking with several examples to ensure a clear understanding. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | United International University | en_US |
dc.subject | Text Similarity | en_US |
dc.subject | Machine Learning algorithm | en_US |
dc.subject | answer script checking | en_US |
dc.subject | standard answer | en_US |
dc.title | Study on Text Similarity Measure Algorithms For English Language | en_US |
dc.type | Thesis | en_US |