A Simple and Effective Method of Cross-Lingual Plagiarism Detection

Karen Avetisyan, Arthur Malajyan, Tsolak Ghukasyan, Arutyun Avetisyan
4/3/2023
cs.CLcs.IR

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Abstract

We present a simple cross-lingual plagiarism detection method applicable to a large number of languages. The presented approach leverages open multilingual thesauri for candidate retrieval task and pre-trained multilingual BERT-based language models for detailed analysis. The method does not rely on machine translation and word sense disambiguation when in use, and therefore is suitable for a large number of languages, including under-resourced languages. The effectiveness of the proposed approach is demonstrated for several existing and new benchmarks, achieving state-of-the-art results for French, Russian, and Armenian languages.

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Cite this paper

@article{avetisyan2023simple,
  title  = {A Simple and Effective Method of Cross-Lingual Plagiarism Detection},
  author = {Karen Avetisyan and Arthur Malajyan and Tsolak Ghukasyan and Arutyun Avetisyan},
  year   = {2023},
  eprint = {2304.01352},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.01352v2}
}

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