{"id":"https://openalex.org/W7137857921","doi":"https://doi.org/10.1109/access.2026.3674588","title":"Simulating Textual Transmission With Natural Language Processing Techniques","display_name":"Simulating Textual Transmission With Natural Language Processing Techniques","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7137857921","doi":"https://doi.org/10.1109/access.2026.3674588"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3674588","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674588","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3674588","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125903667","display_name":"Fernando Aguilar-Canto","orcid":null},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Fernando Aguilar-Canto","raw_affiliation_strings":["Laboratorio de Ciencias Cognitivas Computacionales, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-7352-3182","affiliations":[{"raw_affiliation_string":"Laboratorio de Ciencias Cognitivas Computacionales, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055414768","display_name":"Hiram Calvo","orcid":"https://orcid.org/0000-0003-2836-2102"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Hiram Calvo","raw_affiliation_strings":["Laboratorio de Ciencias Cognitivas Computacionales, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-2836-2102","affiliations":[{"raw_affiliation_string":"Laboratorio de Ciencias Cognitivas Computacionales, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico","institution_ids":["https://openalex.org/I59361560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3554699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"60694","last_page":"60712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.17790000140666962,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.17790000140666962,"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":0.05169999971985817,"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/T12031","display_name":"Speech and dialogue systems","score":0.04809999838471413,"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/transmission","display_name":"Transmission (telecommunications)","score":0.4715000092983246},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.43849998712539673},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.3497999906539917},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.28790000081062317},{"id":"https://openalex.org/keywords/natural-language-user-interface","display_name":"Natural language user interface","score":0.27399998903274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427000045776367},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5241000056266785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5198000073432922},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.3497999906539917},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.24660000205039978}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3674588","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674588","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3cd2cb139f6d488fb52e0d4d37ac6821","is_oa":true,"landing_page_url":"https://doaj.org/article/3cd2cb139f6d488fb52e0d4d37ac6821","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 60694-60712 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3674588","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674588","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7589795589447021}],"awards":[{"id":"https://openalex.org/G303055255","display_name":null,"funder_award_id":"SIP 2259","funder_id":"https://openalex.org/F4320321694","funder_display_name":"Instituto Polit\u00e9cnico Nacional"},{"id":"https://openalex.org/G349818550","display_name":null,"funder_award_id":"SIP 20250015","funder_id":"https://openalex.org/F4320321694","funder_display_name":"Instituto Polit\u00e9cnico Nacional"}],"funders":[{"id":"https://openalex.org/F4320321694","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Two":[0],"main":[1],"objectives":[2],"of":[3,10,19,40,60,160],"Computational":[4],"Textual":[5],"Criticism":[6],"are":[7],"the":[8,26,38,44,61,101,108,124,141,158,163],"development":[9],"algorithms":[11],"for":[12,93,131,135],"tree":[13,86,132],"and":[14,63,83,87,147,154],"text":[15,41,81,88,94,136],"reconstruction":[16,89],"under":[17],"conditions":[18],"imperfect":[20],"copying.":[21],"Despite":[22],"recent":[23,47],"developments":[24],"in":[25,37,49,155],"field,":[27],"few":[28],"comparative":[29,129],"studies":[30],"or":[31,117],"benchmarks":[32],"have":[33,54],"been":[34],"performed,":[35],"particularly":[36],"case":[39],"reconstruction.":[42,133],"On":[43],"other":[45],"hand,":[46],"advancements":[48],"Natural":[50],"Language":[51,76],"Processing":[52],"(NLP)":[53],"begun":[55],"to":[56,79,99],"impact":[57],"various":[58,71],"aspects":[59],"humanities":[62],"social":[64],"sciences.":[65],"In":[66,91],"this":[67],"paper,":[68],"we":[69,96,138],"incorporate":[70,97],"NLP":[72],"techniques":[73],"(including":[74],"Large":[75],"Models":[77],"(LLMs))":[78],"simulate":[80],"transmission":[82],"benchmark":[84],"different":[85],"algorithms.":[90],"addition,":[92],"reconstruction,":[95,137],"LLMs":[98,161],"improve":[100],"final":[102,164],"result.":[103],"Our":[104],"results":[105,130],"show":[106],"that":[107,140],"Unweighted":[109],"Pair":[110],"Group":[111],"Method":[112],"with":[113,123],"Arithmetic":[114],"Mean":[115],"(UPGMA)":[116],"Neighbor":[118],"Joining":[119],"(NJ)":[120],"methods":[121,150],"combined":[122],"Levenshtein":[125],"metric":[126],"achieved":[127],"superior":[128],"Moreover,":[134],"found":[139],"Simple":[142],"Majority":[143],"Rule":[144],"(SMR),":[145],"UR,":[146],"Roos-Heikkil\u00e4-Myllym\u00e4ki":[148],"(RHM)":[149],"yielded":[151],"consistent":[152],"results,":[153],"most":[156],"cases,":[157],"incorporation":[159],"improved":[162],"output.":[165]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}