{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-investigation-of-cross-language","title":"Deep Investigation of Cross-Language Plagiarism Detection Methods","arxiv_id":"1705.08828","date":"2017-05-24","proceeding":"WS 2017 8","authors":["Jeremy Ferrero","Laurent Besacier","Didier Schwab","Frederic Agnes"],"abstract":"This paper is a deep investigation of cross-language plagiarism detection\nmethods on a new recently introduced open dataset, which contains parallel and\ncomparable collections of documents with multiple characteristics (different\ngenres, languages and sizes of texts). We investigate cross-language plagiarism\ndetection methods for 6 language pairs on 2 granularities of text units in\norder to draw robust conclusions on the best methods while deeply analyzing\ncorrelations across document styles and languages.","url_abs":"http://arxiv.org/abs/1705.08828v1","url_pdf":"http://arxiv.org/pdf/1705.08828v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-investigation-of-cross-language","repo_url":"https://github.com/FerreroJeremy/Cross-Language-Dataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}