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Plagiarism Detection Tool for Sinhala Language with Internet Resources Using Natural Language Processing
With the digitalization of text through the World Wide Web, plagiarism turned into a crucial problem and a way to detect plagiarism became an essential component. Even though there are many plagiarism detection systems, applying in the world by considering other languages, for Sinhala it's only...
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creator | Rajamanthri, Lochana Thelijjagoda, Samantha |
description | With the digitalization of text through the World Wide Web, plagiarism turned into a crucial problem and a way to detect plagiarism became an essential component. Even though there are many plagiarism detection systems, applying in the world by considering other languages, for Sinhala it's only a few, and it senses a vacuum in the domain. With the significant improvement of availability in Sinhala text on WWW, still, there is no system to detect plagiarism for these Sinhala documents by comparing resources on the internet. The purpose of this research is to address and overcome the above-mentioned gap while introducing a plagiarism detection system for the Sinhala language, by using internet resources. In the process to obtain the outcome, text pre-processing, Google searching and similarity comparison using Jaccard coefficient were the steps followed. As the final product, a Sinhala plagiarism detection tool was developed with 88% accuracy. The outcome of the work will be a support for the lectures, teachers, authors, students who are using Sinhala as their literal language. |
doi_str_mv | 10.1109/ICIAfS52090.2021.9605852 |
format | conference_proceeding |
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The outcome of the work will be a support for the lectures, teachers, authors, students who are using Sinhala as their literal language.</description><identifier>EISSN: 2151-1810</identifier><identifier>EISBN: 9781665444293</identifier><identifier>EISBN: 1665444290</identifier><identifier>DOI: 10.1109/ICIAfS52090.2021.9605852</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automation ; Focusing ; Jaccard coefficient ; Lemmatization ; Natural language processing ; NLP ; Plagiarism ; Sinhala plagiarism ; Stop words ; Text pre-processing ; Vacuum systems ; WordNet ; World Wide Web</subject><ispartof>2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021, p.156-160</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9605852$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27924,54554,54931</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9605852$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rajamanthri, Lochana</creatorcontrib><creatorcontrib>Thelijjagoda, Samantha</creatorcontrib><title>Plagiarism Detection Tool for Sinhala Language with Internet Resources Using Natural Language Processing</title><title>2021 10th International Conference on Information and Automation for Sustainability (ICIAfS)</title><addtitle>ICIAfS</addtitle><description>With the digitalization of text through the World Wide Web, plagiarism turned into a crucial problem and a way to detect plagiarism became an essential component. 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The outcome of the work will be a support for the lectures, teachers, authors, students who are using Sinhala as their literal language.</description><subject>Automation</subject><subject>Focusing</subject><subject>Jaccard coefficient</subject><subject>Lemmatization</subject><subject>Natural language processing</subject><subject>NLP</subject><subject>Plagiarism</subject><subject>Sinhala plagiarism</subject><subject>Stop words</subject><subject>Text pre-processing</subject><subject>Vacuum systems</subject><subject>WordNet</subject><subject>World Wide Web</subject><issn>2151-1810</issn><isbn>9781665444293</isbn><isbn>1665444290</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkN1Kw0AUhFdBsGifwJt9gdQ9-5PsXpb6FyhabHtdTpKTdCVNZHeL-PZWLDg3A_MNczGMcRAzAOHuy0U5b9dGCidmUkiYuVwYa-QFm7rCQp4brbV06pJNJBjIwIK4ZtMYP8RJyuVQ2Anbr3rsPAYfD_yBEtXJjwPfjGPP2zHwtR_22CNf4tAdsSP-5dOel0OiMFDi7xTHY6gp8m30Q8dfMR0D9v_1VRhP9JfdsqsW-0jTs9-w7dPjZvGSLd-ey8V8mXkAmzKlVVVJbZFaqBTpBmpRG1eAE2SkrlpEanRxihppdS4agw503WpELMgIdcPu_nY9Ee0-gz9g-N6dv1E_iWxbLg</recordid><startdate>20210811</startdate><enddate>20210811</enddate><creator>Rajamanthri, Lochana</creator><creator>Thelijjagoda, Samantha</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20210811</creationdate><title>Plagiarism Detection Tool for Sinhala Language with Internet Resources Using Natural Language Processing</title><author>Rajamanthri, Lochana ; Thelijjagoda, Samantha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-343bb248aef1b3e4d1c0c597190e524bfaaed47c59d28460d5a914cf4aaa7e503</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Automation</topic><topic>Focusing</topic><topic>Jaccard coefficient</topic><topic>Lemmatization</topic><topic>Natural language processing</topic><topic>NLP</topic><topic>Plagiarism</topic><topic>Sinhala plagiarism</topic><topic>Stop words</topic><topic>Text pre-processing</topic><topic>Vacuum systems</topic><topic>WordNet</topic><topic>World Wide Web</topic><toplevel>online_resources</toplevel><creatorcontrib>Rajamanthri, Lochana</creatorcontrib><creatorcontrib>Thelijjagoda, Samantha</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rajamanthri, Lochana</au><au>Thelijjagoda, Samantha</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Plagiarism Detection Tool for Sinhala Language with Internet Resources Using Natural Language Processing</atitle><btitle>2021 10th International Conference on Information and Automation for Sustainability (ICIAfS)</btitle><stitle>ICIAfS</stitle><date>2021-08-11</date><risdate>2021</risdate><spage>156</spage><epage>160</epage><pages>156-160</pages><eissn>2151-1810</eissn><eisbn>9781665444293</eisbn><eisbn>1665444290</eisbn><abstract>With the digitalization of text through the World Wide Web, plagiarism turned into a crucial problem and a way to detect plagiarism became an essential component. Even though there are many plagiarism detection systems, applying in the world by considering other languages, for Sinhala it's only a few, and it senses a vacuum in the domain. With the significant improvement of availability in Sinhala text on WWW, still, there is no system to detect plagiarism for these Sinhala documents by comparing resources on the internet. The purpose of this research is to address and overcome the above-mentioned gap while introducing a plagiarism detection system for the Sinhala language, by using internet resources. In the process to obtain the outcome, text pre-processing, Google searching and similarity comparison using Jaccard coefficient were the steps followed. As the final product, a Sinhala plagiarism detection tool was developed with 88% accuracy. 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ispartof | 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021, p.156-160 |
issn | 2151-1810 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Automation Focusing Jaccard coefficient Lemmatization Natural language processing NLP Plagiarism Sinhala plagiarism Stop words Text pre-processing Vacuum systems WordNet World Wide Web |
title | Plagiarism Detection Tool for Sinhala Language with Internet Resources Using Natural Language Processing |
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