{"id":"https://openalex.org/W3039828809","doi":"https://doi.org/10.3233/his-200284","title":"Hybrid plagiarism detection method for French language","display_name":"Hybrid plagiarism detection method for French language","publication_year":2020,"publication_date":"2020-07-03","ids":{"openalex":"https://openalex.org/W3039828809","doi":"https://doi.org/10.3233/his-200284","mag":"3039828809"},"language":"en","primary_location":{"id":"doi:10.3233/his-200284","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-200284","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011012445","display_name":"Maryam Elamine","orcid":"https://orcid.org/0000-0001-7272-0224"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maryam Elamine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086535804","display_name":"Seifeddine Mechti","orcid":"https://orcid.org/0000-0001-5666-092X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seifeddine Mechti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001984598","display_name":"Lamia Hadrich Belguith","orcid":"https://orcid.org/0000-0002-4868-657X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lamia Hadrich Belguith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011012445"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65797114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":"3","first_page":"163","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/plagiarism-detection","display_name":"Plagiarism detection","score":0.9348341226577759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8104604482650757},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5668230056762695},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37578925490379333},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3609464764595032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35607486963272095},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34119120240211487},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13958537578582764}],"concepts":[{"id":"https://openalex.org/C2780907237","wikidata":"https://www.wikidata.org/wiki/Q2986238","display_name":"Plagiarism detection","level":2,"score":0.9348341226577759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104604482650757},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5668230056762695},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37578925490379333},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3609464764595032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35607486963272095},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34119120240211487},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13958537578582764}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/his-200284","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-200284","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W191507655","https://openalex.org/W1544505227","https://openalex.org/W1790609997","https://openalex.org/W2003391098","https://openalex.org/W2053017876","https://openalex.org/W2069985874","https://openalex.org/W2112500441","https://openalex.org/W2131744502","https://openalex.org/W2150409536","https://openalex.org/W2182775343","https://openalex.org/W2251935993","https://openalex.org/W2340746501","https://openalex.org/W2407564604","https://openalex.org/W2566373727","https://openalex.org/W2575746732","https://openalex.org/W2741844006","https://openalex.org/W2753746642","https://openalex.org/W2774570661","https://openalex.org/W2798619734","https://openalex.org/W2889205121","https://openalex.org/W2913606759","https://openalex.org/W2945673882","https://openalex.org/W2972578920","https://openalex.org/W2980420460","https://openalex.org/W2981178741","https://openalex.org/W2996863350","https://openalex.org/W3010692453","https://openalex.org/W3049046758","https://openalex.org/W3126107149","https://openalex.org/W3215498156","https://openalex.org/W4386992301","https://openalex.org/W6600602277","https://openalex.org/W6638055713","https://openalex.org/W6686355603","https://openalex.org/W6789691419","https://openalex.org/W6804347171"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3089874376","https://openalex.org/W2357241418","https://openalex.org/W2789919619","https://openalex.org/W2086064646","https://openalex.org/W2119135658","https://openalex.org/W2115485936","https://openalex.org/W2293457016","https://openalex.org/W3022131925","https://openalex.org/W3169305685"],"abstract_inverted_index":{"With":[0],"the":[1,4,8,17,21,27,44,50,53,79,95,105,109,113],"growth":[2],"of":[3,19,23,47,60,102,108,119],"content":[5],"found":[6],"throughout":[7],"Web,":[9],"every":[10],"information":[11],"can":[12],"be":[13],"plagiarized.":[14],"Plagiarism":[15],"is":[16,32,38],"process":[18],"using":[20],"ideas":[22],"another":[24],"without":[25],"naming":[26],"source.":[28],"Consequently,":[29],"plagiarism":[30,69,85],"detection":[31,70],"necessary":[33],"but":[34],"complicated":[35],"as":[36],"it":[37],"often":[39],"facing":[40],"significant":[41],"challenges":[42],"given":[43],"large":[45],"amount":[46],"material":[48],"on":[49],"World-wide-web":[51],"and":[52,81],"limited":[54],"access":[55],"to":[56],"a":[57,67],"substantial":[58],"part":[59],"them.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,98,115],"present":[66],"novel":[68],"method":[71,77],"for":[72,84,104,112],"French":[73],"documents.":[74],"The":[75],"proposed":[76],"combines":[78],"intrinsic":[80],"extrinsic":[82,96],"aspects":[83],"detection.":[86],"We":[87],"achieved":[88,99,116],"good":[89],"results":[90],"with":[91],"both":[92],"approaches.":[93],"For":[94],"method,":[97],"an":[100,117],"accuracy":[101],"62%":[103],"first":[106],"tests":[107],"method.":[110],"As":[111],"intrinsic,":[114],"F-score":[118],"0.328.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}