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@@ -16,4 +16,33 @@ configs:
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  - split: query
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  path:
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  - query.csv
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: query
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  path:
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  - query.csv
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+ ---
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+
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+ # Cross-lingual plagiarism detection: Two are better than one
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+
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+ The widespread availability of scientific documents in multiple languages, coupled with the development of automatic translation and editing tools, has created a demand for efficient methods that can detect plagiarism across different languages.
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+
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+ # Citation
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+
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+ If you use that results in your research, please cite our paper:
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+
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+ ```bibtex
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+ @article{10.1134/S0361768823040138,
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+ author = {Avetisyan, K. and Gritsay, G. and Grabovoy, A.},
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+ title = {Cross-Lingual Plagiarism Detection: Two Are Better Than One},
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+ year = {2023},
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+ issue_date = {Aug 2023},
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+ publisher = {Plenum Press},
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+ address = {USA},
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+ volume = {49},
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+ number = {4},
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+ issn = {0361-7688},
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+ url = {https://doi.org/10.1134/S0361768823040138},
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+ doi = {10.1134/S0361768823040138},
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+ journal = {Program. Comput. Softw.},
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+ month = aug,
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+ pages = {346–354},
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+ numpages = {9},
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+ keywords = {cross-lingual plagiarism detection, cross-lingual plagiarism detection benchmark, under-resourced languages, sequential merger approach}
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+ }
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+ ```