{"id":"https://openalex.org/W3186469429","doi":"https://doi.org/10.1515/jisys-2020-0144","title":"Accent labeling algorithm based on morphological rules and machine learning in English conversion system","display_name":"Accent labeling algorithm based on morphological rules and machine learning in English conversion system","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186469429","doi":"https://doi.org/10.1515/jisys-2020-0144","mag":"3186469429"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2020-0144","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2020-0144","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2020-0144/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2020-0144/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100359288","display_name":"Xiaofeng Liu","orcid":"https://orcid.org/0000-0002-4514-2016"},"institutions":[{"id":"https://openalex.org/I4210141264","display_name":"Shanghai Civil Aviation College","ror":"https://ror.org/03kkh3m26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Liu","raw_affiliation_strings":["Department of Aircraft Maintenance, Sichuan Southwest Vocational College of Civil Aviation , Chengdu 610000 , Sichuan Province , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aircraft Maintenance, Sichuan Southwest Vocational College of Civil Aviation , Chengdu 610000 , Sichuan Province , China","institution_ids":["https://openalex.org/I4210141264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054183825","display_name":"Pradeep Kumar Singh","orcid":"https://orcid.org/0000-0002-7676-9014"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pradeep Kumar Singh","raw_affiliation_strings":["Department of Computer Science, KIET Group of Institutions , Delhi-NCR , Ghaziabad, UP , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, KIET Group of Institutions , Delhi-NCR , Ghaziabad, UP , India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028485287","display_name":"Pljonkin Anton Pavlovich","orcid":null},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pljonkin Anton Pavlovich","raw_affiliation_strings":["Institute of Computer Technologies and Information Security , Southern Federal University , Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technologies and Information Security , Southern Federal University , Russia","institution_ids":["https://openalex.org/I137534880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054183825"],"corresponding_institution_ids":[],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.4198,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6928884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"30","issue":"1","first_page":"881","last_page":"892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9451000094413757,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9451000094413757,"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/stress","display_name":"Stress (linguistics)","score":0.8481733798980713},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.7529715299606323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6959958672523499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228744983673096},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.523322582244873},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4948975443840027},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.41640007495880127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3468784987926483},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10552698373794556}],"concepts":[{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.8481733798980713},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.7529715299606323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959958672523499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228744983673096},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.523322582244873},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4948975443840027},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.41640007495880127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3468784987926483},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10552698373794556},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2020-0144","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2020-0144","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2020-0144/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bf6d7f516c71462e9b3f88b5fadbf7ba","is_oa":true,"landing_page_url":"https://doaj.org/article/bf6d7f516c71462e9b3f88b5fadbf7ba","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":"Journal of Intelligent Systems, Vol 30, Iss 1, Pp 881-892 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2020-0144","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2020-0144","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2020-0144/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186469429.pdf","grobid_xml":"https://content.openalex.org/works/W3186469429.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W99528949","https://openalex.org/W161699183","https://openalex.org/W1600470703","https://openalex.org/W1750984498","https://openalex.org/W2118225510","https://openalex.org/W2135801767","https://openalex.org/W2293441309","https://openalex.org/W2293949002","https://openalex.org/W2515121265","https://openalex.org/W2518172956","https://openalex.org/W2762233525","https://openalex.org/W2774288077","https://openalex.org/W2779162879","https://openalex.org/W2792839897","https://openalex.org/W2797789629","https://openalex.org/W2801711638","https://openalex.org/W2804666276","https://openalex.org/W2885820941","https://openalex.org/W2890402938","https://openalex.org/W2908840847","https://openalex.org/W2912799906","https://openalex.org/W2916032760","https://openalex.org/W2921857201","https://openalex.org/W2946097038","https://openalex.org/W2964069186","https://openalex.org/W2966126968","https://openalex.org/W2990233417","https://openalex.org/W2997777902","https://openalex.org/W3007531196","https://openalex.org/W3090688964","https://openalex.org/W3119449916","https://openalex.org/W3125782096","https://openalex.org/W3152821116","https://openalex.org/W4285719527","https://openalex.org/W6696749528"],"related_works":["https://openalex.org/W4367680763","https://openalex.org/W2739335048","https://openalex.org/W2107815244","https://openalex.org/W2024685873","https://openalex.org/W4390911899","https://openalex.org/W2761904099","https://openalex.org/W4285415194","https://openalex.org/W2369497104","https://openalex.org/W1627557510","https://openalex.org/W2129927767"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"dependency":[2],"of":[3,11,61,76,85,103,118,134,147,154,164,183],"a":[4,12,38,122],"speech":[5],"recognition":[6],"system":[7],"on":[8],"the":[9,16,22,42,54,58,70,74,77,86,90,98,101,104,110,116,132,149,159,170,181,189],"accent":[10,59],"user":[13],"leads":[14],"to":[15,95],"variation":[17],"in":[18,45],"its":[19],"performance,":[20],"as":[21,37],"people":[23],"from":[24,109],"different":[25,28],"backgrounds":[26],"have":[27,34],"accents.":[29],"Accent":[30],"labeling":[31,60,102,117,123,133,182],"and":[32,48,89,129,169,185],"conversion":[33],"been":[35],"reported":[36],"prospective":[39],"solution":[40],"for":[41],"challenges":[43],"faced":[44],"language":[46],"learning":[47,142],"various":[49],"other":[50],"voice-based":[51],"advents.":[52],"In":[53,113],"English":[55],"TTS":[56],"system,":[57],"unregistered":[62],"words":[63],"is":[64,80,93,107,137],"another":[65],"very":[66],"important":[67],"link":[68],"besides":[69],"phonetic":[71],"conversion.":[72],"Since":[73],"importance":[75],"primary":[78,91,105,119,155,184],"stress":[79,92,106,156,166],"much":[81],"greater":[82],"than":[83,97],"that":[84,125],"secondary":[87,99,111,135,165,186],"stress,":[88,100],"easier":[94],"call":[96],"separated":[108],"stress.":[112],"this":[114],"work,":[115],"accents":[120,136,187],"uses":[121],"algorithm":[124],"combines":[126],"morphological":[127],"rules":[128],"machine":[130,141],"learning;":[131],"done":[138],"entirely":[139],"through":[140],"algorithms.":[143],"After":[144],"10":[145],"rounds":[146],"cross-validation,":[148],"average":[150,160],"tagging":[151,161,172],"accuracy":[152,162,173],"rate":[153,163,174],"was":[157,167,175],"94%,":[158,168],"total":[171],"83.6%.":[176],"This":[177],"perceptual":[178],"study":[179],"separates":[180],"providing":[188],"promising":[190],"outcomes.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}