Plagiarism detection system for Armenian language
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10198/14443 |
Summary: | In the academic context, it is very important to evaluate the uniqueness of reports, scientific papers and other documents that are everyday disseminated on the web. There are already several tools with this purpose but not for Armenian texts. In this paper, a system to analyze the similarity of Armenian documents is presented. The idea is to collect a set of documents of the same domain in order to identify keywords. Then, based on that information, the system receives two documents and compares them calculating the probability of plagiarism. For that, an approach based on several levels of analysis is implemented and some of those steps allow the user interaction choosing options or adding more information. |
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Plagiarism detection system for Armenian languageNatural language processingPlagiarism detectionSinonymizerDocument uniquenessIn the academic context, it is very important to evaluate the uniqueness of reports, scientific papers and other documents that are everyday disseminated on the web. There are already several tools with this purpose but not for Armenian texts. In this paper, a system to analyze the similarity of Armenian documents is presented. The idea is to collect a set of documents of the same domain in order to identify keywords. Then, based on that information, the system receives two documents and compares them calculating the probability of plagiarism. For that, an approach based on several levels of analysis is implemented and some of those steps allow the user interaction choosing options or adding more information.The National Academy of Science of Armenia and The Institute for Informatics and Automation ProblemsBiblioteca Digital do IPBMargarov, GevorgTomeyan, GoharPereira, Maria João2017-08-30T11:18:08Z20172017-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/14443engMargarov, Gevorg; Tomeyan, Gohar; Pereira, Maria João (2017). Plagiarism detection system for Armenian language. In 11th International Conference on Computer Science and Information Technologies. Yerevan, Armeniainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:04:36Zoai:bibliotecadigital.ipb.pt:10198/14443Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:31:01.116806Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Plagiarism detection system for Armenian language |
title |
Plagiarism detection system for Armenian language |
spellingShingle |
Plagiarism detection system for Armenian language Margarov, Gevorg Natural language processing Plagiarism detection Sinonymizer Document uniqueness |
title_short |
Plagiarism detection system for Armenian language |
title_full |
Plagiarism detection system for Armenian language |
title_fullStr |
Plagiarism detection system for Armenian language |
title_full_unstemmed |
Plagiarism detection system for Armenian language |
title_sort |
Plagiarism detection system for Armenian language |
author |
Margarov, Gevorg |
author_facet |
Margarov, Gevorg Tomeyan, Gohar Pereira, Maria João |
author_role |
author |
author2 |
Tomeyan, Gohar Pereira, Maria João |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Margarov, Gevorg Tomeyan, Gohar Pereira, Maria João |
dc.subject.por.fl_str_mv |
Natural language processing Plagiarism detection Sinonymizer Document uniqueness |
topic |
Natural language processing Plagiarism detection Sinonymizer Document uniqueness |
description |
In the academic context, it is very important to evaluate the uniqueness of reports, scientific papers and other documents that are everyday disseminated on the web. There are already several tools with this purpose but not for Armenian texts. In this paper, a system to analyze the similarity of Armenian documents is presented. The idea is to collect a set of documents of the same domain in order to identify keywords. Then, based on that information, the system receives two documents and compares them calculating the probability of plagiarism. For that, an approach based on several levels of analysis is implemented and some of those steps allow the user interaction choosing options or adding more information. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08-30T11:18:08Z 2017 2017-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/14443 |
url |
http://hdl.handle.net/10198/14443 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Margarov, Gevorg; Tomeyan, Gohar; Pereira, Maria João (2017). Plagiarism detection system for Armenian language. In 11th International Conference on Computer Science and Information Technologies. Yerevan, Armenia |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
The National Academy of Science of Armenia and The Institute for Informatics and Automation Problems |
publisher.none.fl_str_mv |
The National Academy of Science of Armenia and The Institute for Informatics and Automation Problems |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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1833591979080941568 |