{"id":"https://openalex.org/W1981726727","doi":"https://doi.org/10.1109/icmlc.2010.5581004","title":"A research on evaluation of written productive vocabulary based on Sugeno measure","display_name":"A research on evaluation of written productive vocabulary based on Sugeno measure","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1981726727","doi":"https://doi.org/10.1109/icmlc.2010.5581004","mag":"1981726727"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-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/A5101890498","display_name":"Dong Tian","orcid":"https://orcid.org/0000-0003-3388-0334"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Dong","raw_affiliation_strings":["North China Electric Power University, Baoding, Hebei, China","North China Electric Power University, Baoding 071003,Hebei,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"North China Electric Power University, Baoding 071003,Hebei,China)","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048287964","display_name":"Weixuan Shi","orcid":"https://orcid.org/0009-0006-3558-4327"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Xuan Shi","raw_affiliation_strings":["North China Electric Power University, Baoding, Hebei, China","North China Electric Power University, Baoding 071003,Hebei,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"North China Electric Power University, Baoding 071003,Hebei,China)","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yao-Hua Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao-Hua Huang","raw_affiliation_strings":["North China Electric Power University, Baoding, Hebei, China","North China Electric Power University, Baoding 071003,Hebei,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"North China Electric Power University, Baoding 071003,Hebei,China)","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.3457,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65572558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"45","issue":null,"first_page":"533","last_page":"536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11587","display_name":"Second Language Acquisition and Learning","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11587","display_name":"Second Language Acquisition and Learning","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9872999787330627,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9433000087738037,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/measure","display_name":"Measure (data warehouse)","score":0.8998117446899414},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.8396462798118591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745811700820923},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4900025427341461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47898292541503906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.332395076751709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2552535831928253},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19472137093544006}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.8998117446899414},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.8396462798118591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745811700820923},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4900025427341461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47898292541503906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.332395076751709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2552535831928253},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19472137093544006},{"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:10.1109/icmlc.2010.5581004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1481142035","https://openalex.org/W1557693965","https://openalex.org/W1964698778","https://openalex.org/W2150663108","https://openalex.org/W2155544360","https://openalex.org/W2363798426","https://openalex.org/W2364277108","https://openalex.org/W3043771091"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3],"new":[4],"method":[5,53,60],"for":[6],"written":[7],"productive":[8],"vocabulary":[9],"evaluation,":[10],"an":[11],"algorithm":[12],"based":[13,54],"on":[14,55],"Sugeno":[15,36],"measure.":[16],"Lexical":[17,20],"Richness":[18],"and":[19,28],"Frequency":[21],"Profile":[22],"are":[23,31],"selected":[24],"as":[25],"evaluation":[26,52],"indexes,":[27],"weight":[29],"parameters":[30],"given":[32],"by":[33],"experts.":[34],"Then":[35],"measure":[37],"is":[38,61],"used":[39],"to":[40],"integrate":[41],"them.":[42],"The":[43],"experimental":[44],"results":[45],"have":[46],"shown":[47],"that,":[48],"compared":[49],"with":[50],"traditional":[51],"teachers'":[56],"subjective":[57],"experience,":[58],"this":[59],"more":[62],"feasible.":[63]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}