{"id":"https://openalex.org/W2939097945","doi":"https://doi.org/10.1017/s135132491900010x","title":"Robust stylometric analysis and author attribution based on tones and rimes","display_name":"Robust stylometric analysis and author attribution based on tones and rimes","publication_year":2019,"publication_date":"2019-04-10","ids":{"openalex":"https://openalex.org/W2939097945","doi":"https://doi.org/10.1017/s135132491900010x","mag":"2939097945"},"language":"en","primary_location":{"id":"doi:10.1017/s135132491900010x","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s135132491900010x","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","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/A5082120765","display_name":"Renkui Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Renkui Hou","raw_affiliation_strings":["Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong","Department of Linguistics, College of Humanities, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2510-6277","affiliations":[{"raw_affiliation_string":"Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Linguistics, College of Humanities, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024924150","display_name":"Chu\u2010Ren Huang","orcid":"https://orcid.org/0000-0002-8526-5520"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chu-Ren Huang","raw_affiliation_strings":["Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082120765"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":2.8899,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92860482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"1","first_page":"49","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998999834060669,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998999834060669,"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":0.9783999919891357,"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":0.9772999882698059,"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/computer-science","display_name":"Computer science","score":0.7738519906997681},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.585368275642395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630900859832764},{"id":"https://openalex.org/keywords/bigram","display_name":"Bigram","score":0.5578970313072205},{"id":"https://openalex.org/keywords/lexicalization","display_name":"Lexicalization","score":0.46963071823120117},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33353736996650696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738519906997681},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.585368275642395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630900859832764},{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.5578970313072205},{"id":"https://openalex.org/C2777532361","wikidata":"https://www.wikidata.org/wiki/Q687185","display_name":"Lexicalization","level":2,"score":0.46963071823120117},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33353736996650696},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s135132491900010x","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s135132491900010x","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/94845","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/94845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W61584101","https://openalex.org/W113189822","https://openalex.org/W613427262","https://openalex.org/W643183242","https://openalex.org/W809880175","https://openalex.org/W1535150327","https://openalex.org/W1565377632","https://openalex.org/W1568065322","https://openalex.org/W1753196950","https://openalex.org/W1953638699","https://openalex.org/W1966290122","https://openalex.org/W1976095474","https://openalex.org/W1981745473","https://openalex.org/W2002053069","https://openalex.org/W2005624335","https://openalex.org/W2006378407","https://openalex.org/W2009916989","https://openalex.org/W2013568550","https://openalex.org/W2018020626","https://openalex.org/W2025882237","https://openalex.org/W2028243078","https://openalex.org/W2037959956","https://openalex.org/W2043976122","https://openalex.org/W2048405521","https://openalex.org/W2052815170","https://openalex.org/W2054151502","https://openalex.org/W2055699824","https://openalex.org/W2072828027","https://openalex.org/W2074459654","https://openalex.org/W2077620588","https://openalex.org/W2079834138","https://openalex.org/W2085294311","https://openalex.org/W2088343725","https://openalex.org/W2092475127","https://openalex.org/W2093790243","https://openalex.org/W2095069785","https://openalex.org/W2098434511","https://openalex.org/W2100235759","https://openalex.org/W2103167816","https://openalex.org/W2114535528","https://openalex.org/W2118537526","https://openalex.org/W2130954085","https://openalex.org/W2135345655","https://openalex.org/W2145748623","https://openalex.org/W2149684865","https://openalex.org/W2153890685","https://openalex.org/W2159642183","https://openalex.org/W2164873076","https://openalex.org/W2165417675","https://openalex.org/W2165431734","https://openalex.org/W2170654002","https://openalex.org/W2251451963","https://openalex.org/W2328770917","https://openalex.org/W2348979726","https://openalex.org/W2377131567","https://openalex.org/W2401434778","https://openalex.org/W2476868877","https://openalex.org/W2482589566","https://openalex.org/W2487270460","https://openalex.org/W2582743722","https://openalex.org/W2587549872","https://openalex.org/W2604607843","https://openalex.org/W2608065105","https://openalex.org/W2625465398","https://openalex.org/W2737903614","https://openalex.org/W2768755876","https://openalex.org/W2775907076","https://openalex.org/W2912780347","https://openalex.org/W2912796987","https://openalex.org/W2918032103","https://openalex.org/W2941028947","https://openalex.org/W2992957563","https://openalex.org/W3017984758","https://openalex.org/W3023071773","https://openalex.org/W3105106638","https://openalex.org/W3119615209","https://openalex.org/W3151491250","https://openalex.org/W3200634688","https://openalex.org/W4205976114","https://openalex.org/W4206031910","https://openalex.org/W4211117752","https://openalex.org/W4211134195","https://openalex.org/W4236292226","https://openalex.org/W4239269944","https://openalex.org/W4239601048","https://openalex.org/W4242288162","https://openalex.org/W4243957593","https://openalex.org/W4250089123","https://openalex.org/W4299523979","https://openalex.org/W6652725443","https://openalex.org/W6669113257","https://openalex.org/W6684085756","https://openalex.org/W6735755322"],"related_works":["https://openalex.org/W3173084154","https://openalex.org/W2099896133","https://openalex.org/W2111465144","https://openalex.org/W2185649612","https://openalex.org/W1006721676","https://openalex.org/W2156230116","https://openalex.org/W2546089952","https://openalex.org/W2269447762","https://openalex.org/W2124470186","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Abstract":[0],"In":[1,22],"this":[2],"article,":[3],"we":[4,24,88],"propose":[5,25],"an":[6],"innovative":[7],"and":[8,16,19,33,54,62,68,99,137],"robust":[9,121],"approach":[10,122],"to":[11,26,73,115,128],"stylometric":[12],"analysis":[13],"without":[14],"annotation":[15],"leveraging":[17],"lexical":[18],"sub-lexical":[20],"information.":[21],"particular,":[23],"leverage":[27],"the":[28,75,83,86,91,105,117],"phonological":[29,133],"information":[30],"of":[31,85,93,95,135],"tones":[32],"rimes":[34,61,102],"in":[35,124],"Mandarin":[36],"Chinese":[37],"automatically":[38],"extracted":[39],"from":[40,45,107],"unannotated":[41],"texts.":[42],"The":[43],"texts":[44,106],"different":[46,108],"authors":[47,109],"were":[48,71],"represented":[49],"by":[50],"tones,":[51],"tone":[52],"motifs,":[53],"word":[55],"length":[56],"motifs":[57],"as":[58,60],"well":[59],"rime":[63],"motifs.":[64],"Support":[65],"vector":[66],"machines":[67],"random":[69,113],"forests":[70,114],"used":[72],"establish":[74,116],"text":[76],"classification":[77,118],"model":[78],"for":[79],"authorship":[80],"attribution.":[81],"From":[82],"results":[84],"experiments,":[87],"conclude":[89],"that":[90],"combination":[92],"bigrams":[94],"rimes,":[96,98],"word-final":[97],"segment":[100],"-final":[101],"can":[103,123],"discriminate":[104],"effectively":[110],"when":[111],"using":[112],"model.":[119],"This":[120],"principle":[125],"be":[126],"applied":[127],"other":[129],"languages":[130],"with":[131],"established":[132],"inventory":[134],"onset":[136],"rimes.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
