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On the use of word embedding for cross language plagiarism detection

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On the use of word embedding for cross language plagiarism detection

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dc.contributor.author Asghari, Habibollah es_ES
dc.contributor.author Fatemi, Omid es_ES
dc.contributor.author Mohtaj, Salar es_ES
dc.contributor.author Faili, Heshaam es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2020-12-17T04:32:52Z
dc.date.available 2020-12-17T04:32:52Z
dc.date.issued 2019 es_ES
dc.identifier.issn 1088-467X es_ES
dc.identifier.uri http://hdl.handle.net/10251/157282
dc.description.abstract [EN] Cross language plagiarism is the unacknowledged reuse of text across language pairs. It occurs if a passage of text is translated from source language to target language and no proper citation is provided. Although various methods have been developed for detection of cross language plagiarism, less attention has been paid to measure and compare their performance, especially when tackling with different types of paraphrasing through translation. In this paper, we investigate various approaches to cross language plagiarism detection. Moreover, we present a novel approach to cross language plagiarism detection using word embedding methods and explore its performance against other state-of-the-art plagiarism detection algorithms. In order to evaluate the methods, we have constructed an English-Persian bilingual plagiarism detection corpus (referred to as HAMTA-CL) comprised of seven types of obfuscation. The results show that the word embedding approach outperforms the other approaches with respect to recall when encountering heavily paraphrased passages. On the other hand, translation based approach performs well when the precision is the main consideration of the cross language plagiarism detection system. es_ES
dc.language Inglés es_ES
dc.publisher IOS Press es_ES
dc.relation.ispartof Intelligent Data Analysis es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cross-language plagiarism detection es_ES
dc.subject Low resource languages es_ES
dc.subject Distant language pairs es_ES
dc.subject Text re-use es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title On the use of word embedding for cross language plagiarism detection es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3233/IDA-183985 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-71147-C2-1-P/ES/COMPRENSION DEL LENGUAJE EN LOS MEDIOS DE COMUNICACION SOCIAL - REPRESENTANDO CONTEXTOS DE FORMA CONTINUA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Asghari, H.; Fatemi, O.; Mohtaj, S.; Faili, H.; Rosso, P. (2019). On the use of word embedding for cross language plagiarism detection. Intelligent Data Analysis. 23(3):661-680. https://doi.org/10.3233/IDA-183985 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3233/IDA-183985 es_ES
dc.description.upvformatpinicio 661 es_ES
dc.description.upvformatpfin 680 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 23 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\409416 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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