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Using a machine translation tool to countercross-language plagiarism
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Cross-language plagiarism is a type of plagiarism where texts from one languageare translated to another, concealing the origin of the text. This study tested if Google’s machine translation tool could be used as a preprocessor to a plagiarism detection tool in order to increase detection of cross-language plagiarism. It achieved positive results for detecting plagiarism in machine translated texts, while craftier plagiarised translations with higher degrees of obfuscation were harder to detect. Utilising even simple tools such as Google’s machine translation tool thus seems to indicate that steps to solving the problem of cross-language plagiarism can be taken.

Place, publisher, year, edition, pages
2014.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-157497OAI: oai:DiVA.org:kth-157497DiVA: diva2:770243
Examiners
Available from: 2014-12-10 Created: 2014-12-10 Last updated: 2014-12-10Bibliographically approved

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fulltext(450 kB)573 downloads
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f88c286d5ab41acc7c16aebe5d9b3c21553c29cbc53ec3d3fa37a9d4d8c450e0af801182a6ec04dd6eaa6ec1005c65002550ae38e144d0d3316c2b636e3c036f
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf