{"id":"https://openalex.org/W4412196052","doi":"https://doi.org/10.1145/3748320","title":"Urdu Sentential Paraphrased Plagiarism Detection Using Large Language Models","display_name":"Urdu Sentential Paraphrased Plagiarism Detection Using Large Language Models","publication_year":2025,"publication_date":"2025-07-11","ids":{"openalex":"https://openalex.org/W4412196052","doi":"https://doi.org/10.1145/3748320"},"language":"en","primary_location":{"id":"doi:10.1145/3748320","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3748320","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5032024249","display_name":"Hafiz Rizwan Iqbal","orcid":"https://orcid.org/0000-0002-2304-8459"},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Hafiz Rizwan Iqbal","raw_affiliation_strings":["Information Technology University"],"affiliations":[{"raw_affiliation_string":"Information Technology University","institution_ids":["https://openalex.org/I1323252656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118911260","display_name":"Muhammad Sharjeel","orcid":null},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Sharjeel","raw_affiliation_strings":["COMSATS University Islamabad, Lahore Campus"],"affiliations":[{"raw_affiliation_string":"COMSATS University Islamabad, Lahore Campus","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075488653","display_name":"Jawad Shafi","orcid":"https://orcid.org/0000-0001-6427-3823"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Jawad Shafi","raw_affiliation_strings":["COMSATS University Islamabad, Lahore Campus"],"affiliations":[{"raw_affiliation_string":"COMSATS University Islamabad, Lahore Campus","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071313244","display_name":"Usama Mehmood","orcid":null},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Usama Mehmood","raw_affiliation_strings":["Information Technology University"],"affiliations":[{"raw_affiliation_string":"Information Technology University","institution_ids":["https://openalex.org/I1323252656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038004767","display_name":"Agha Ali Raza","orcid":"https://orcid.org/0000-0003-0124-9783"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Agha Ali Raza","raw_affiliation_strings":["Lahore University of Management Sciences"],"affiliations":[{"raw_affiliation_string":"Lahore University of Management Sciences","institution_ids":["https://openalex.org/I207789805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032024249"],"corresponding_institution_ids":["https://openalex.org/I1323252656"],"apc_list":null,"apc_paid":null,"fwci":2.4849,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9042642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"24","issue":"9","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9929999709129333,"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/T13629","display_name":"Text Readability and Simplification","score":0.9879000186920166,"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/paraphrase","display_name":"Paraphrase","score":0.8756614327430725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7416762113571167},{"id":"https://openalex.org/keywords/urdu","display_name":"Urdu","score":0.7298331260681152},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6499567031860352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6187487244606018},{"id":"https://openalex.org/keywords/plagiarism-detection","display_name":"Plagiarism detection","score":0.5290761590003967},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33194974064826965}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.8756614327430725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416762113571167},{"id":"https://openalex.org/C2777350258","wikidata":"https://www.wikidata.org/wiki/Q1617","display_name":"Urdu","level":2,"score":0.7298331260681152},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6499567031860352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187487244606018},{"id":"https://openalex.org/C2780907237","wikidata":"https://www.wikidata.org/wiki/Q2986238","display_name":"Plagiarism detection","level":2,"score":0.5290761590003967},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33194974064826965},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748320","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3748320","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W934772423","https://openalex.org/W2000659019","https://openalex.org/W2147528976","https://openalex.org/W2147742901","https://openalex.org/W2169813772","https://openalex.org/W2508023093","https://openalex.org/W2606089314","https://openalex.org/W2612649659","https://openalex.org/W2739351760","https://openalex.org/W2742155240","https://openalex.org/W2747329762","https://openalex.org/W2750779823","https://openalex.org/W2752392399","https://openalex.org/W2759083144","https://openalex.org/W2768744233","https://openalex.org/W2773143256","https://openalex.org/W2949927254","https://openalex.org/W2962739339","https://openalex.org/W2963899155","https://openalex.org/W2970641574","https://openalex.org/W2973088264","https://openalex.org/W2980420460","https://openalex.org/W2996573939","https://openalex.org/W3006210356","https://openalex.org/W3023958260","https://openalex.org/W3035390927","https://openalex.org/W3038033387","https://openalex.org/W3089874376","https://openalex.org/W3090863249","https://openalex.org/W3094629756","https://openalex.org/W3100806282","https://openalex.org/W3104033643","https://openalex.org/W3172298267","https://openalex.org/W4210265293","https://openalex.org/W4321089622","https://openalex.org/W4323262316","https://openalex.org/W4376954210","https://openalex.org/W4378652731","https://openalex.org/W4385156842","https://openalex.org/W4385597697","https://openalex.org/W4391156274","https://openalex.org/W4394841922","https://openalex.org/W4400949908","https://openalex.org/W4412282758"],"related_works":["https://openalex.org/W2147528976","https://openalex.org/W2982625988","https://openalex.org/W4295159264","https://openalex.org/W2775899031","https://openalex.org/W2324328502","https://openalex.org/W2978707643","https://openalex.org/W2294233724","https://openalex.org/W4378713476","https://openalex.org/W2169813772","https://openalex.org/W2736149021"],"abstract_inverted_index":{"Plagiarism,":[0],"the":[1,8,32,87,94,160,189,202,215],"unauthorized":[2],"reuse":[3],"of":[4,10,38,162,169,204,219],"text,":[5],"fueled":[6],"by":[7],"ease":[9],"access":[11],"to":[12,93,104],"online":[13],"content,":[14],"is":[15,44],"a":[16,25,45,226],"pressing":[17],"concern":[18],"for":[19,54,193],"academia,":[20],"publishers,":[21],"and":[22,58,78,90,98,123,127,151,172,210,217],"authors.":[23],"Paraphrasing,":[24],"common":[26],"tactic":[27],"in":[28,41,48,213,223,229],"textual":[29],"plagiarism,":[30],"compounds":[31],"problem":[33],"further.":[34],"The":[35,83,109,157],"automatic":[36],"detection":[37,71,222],"paraphrased":[39,69,196,220],"plagiarism":[40,70,197,221],"text":[42],"documents":[43],"fundamental":[46],"task":[47],"Natural":[49],"Language":[50,80],"Processing":[51],"(NLP),":[52],"crucial":[53,227],"maintaining":[55],"academic":[56],"integrity":[57],"authenticity.":[59],"This":[60],"article":[61],"presents":[62],"an":[63],"extensive":[64],"investigation":[65],"into":[66],"Urdu":[67,139,146,153,194,230],"sentential":[68,140,195],"leveraging":[72,205],"advanced":[73,206],"Deep":[74,95],"Neural":[75],"Networks":[76],"(DNNs)":[77],"Large":[79],"Models":[81],"(LLMs).":[82],"study":[84],"builds":[85],"upon":[86],"foundational":[88],"work":[89],"proposes":[91],"modifications":[92],"Text":[96,148],"Reuse":[97,149],"Paraphrased":[99],"Plagiarism":[100],"Detection":[101],"(D-TRaPPD)":[102],"architecture":[103],"incorporate":[105],"state-of-the-art":[106,180],"pre-trained":[107,211],"LLMs.":[108,131],"proposed":[110],"approach,":[111],"SELLM-D-TRaPPD,":[112],"integrates":[113],"various":[114],"language":[115],"models,":[116],"including":[117],"contextualized":[118],"sentence":[119],"embedding-based":[120],"LLMs,":[121,126,165],"language-agnostic":[122],"multilingual":[124,128],"transformer-based":[125,130],"knowledge-distilled":[129],"We":[132],"evaluated":[133],"these":[134],"models":[135],"against":[136],"three":[137],"benchmark":[138],"paraphrase":[141],"corpora\u2014Urdu":[142],"Sentential":[143,154],"Paraphrase":[144,155],"Corpus,":[145,150],"Short":[147],"Semi-automatic":[152],"Corpus.":[156],"results":[158],"demonstrate":[159],"effectiveness":[161,218],"SELLM-D-TRaPPD":[163,187],"with":[164,178],"achieving":[166],"F1":[167],"scores":[168],"92.09%,":[170],"96.70%,":[171],"98.23%,":[173],"respectively.":[174],"A":[175],"comparative":[176],"analysis":[177],"existing":[179],"methods":[181],"shows":[182],"significant":[183],"performance":[184],"improvements,":[185],"establishing":[186],"as":[188],"new":[190],"leading":[191],"approach":[192],"detection.":[198],"These":[199],"findings":[200],"highlight":[201],"value":[203],"neural":[207],"network":[208],"architectures":[209],"LLMs":[212],"improving":[214],"accuracy":[216],"Urdu,":[224],"addressing":[225],"gap":[228],"NLP":[231],"research.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}