CrossLang: The System of Cross-Lingual Plagiarism Detection

Abstract

Plagiarism and text reuse become more available with the Internet development. Therefore it is important to check scientific papers for the fact of cheating, especially in Academia. Existing systems of plagiarism detection show the good performance and have a huge source databases. Thus now it is not enough just to copy the text as is from the source document to get the original work. Therefore, another type of plagiarism become popular -- cross-lingual plagiarism. We present a CrossLang system for such kind of plagiarism detection for English-Russian language pair.

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Cite

Text

Bakhteev et al. "CrossLang: The System of Cross-Lingual Plagiarism Detection." NeurIPS 2019 Workshops: Document_Intelligence, 2019.

Markdown

[Bakhteev et al. "CrossLang: The System of Cross-Lingual Plagiarism Detection." NeurIPS 2019 Workshops: Document_Intelligence, 2019.](https://mlanthology.org/neuripsw/2019/bakhteev2019neuripsw-crosslang/)

BibTeX

@inproceedings{bakhteev2019neuripsw-crosslang,
  title     = {{CrossLang: The System of Cross-Lingual Plagiarism Detection}},
  author    = {Bakhteev, Oleg and Ogaltsov, Alexandr and Khazov, Andrey and Safin, Kamil and Kuznetsova, Rita},
  booktitle = {NeurIPS 2019 Workshops: Document_Intelligence},
  year      = {2019},
  url       = {https://mlanthology.org/neuripsw/2019/bakhteev2019neuripsw-crosslang/}
}