{"id":"https://openalex.org/W3216723578","doi":"https://doi.org/10.1145/3482632.3482750","title":"Design of translation accuracy correction algorithm for English translation software based on Rough Set","display_name":"Design of translation accuracy correction algorithm for English translation software based on Rough Set","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3216723578","doi":"https://doi.org/10.1145/3482632.3482750","mag":"3216723578"},"language":"en","primary_location":{"id":"doi:10.1145/3482632.3482750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3482632.3482750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Information Systems and Computer Aided Education","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/A5006008709","display_name":"Gaili Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gaili Cui","raw_affiliation_strings":["Zhengzhou Tourism College, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou Tourism College, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006008709"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4439,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68610923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.7470999956130981,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.7470999956130981,"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/computer-science","display_name":"Computer science","score":0.8498534560203552},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7411421537399292},{"id":"https://openalex.org/keywords/machine-translation-software-usability","display_name":"Machine translation software usability","score":0.657135009765625},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.6369011402130127},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6083570718765259},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.604411244392395},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5763421654701233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5556148886680603},{"id":"https://openalex.org/keywords/computer-assisted-translation","display_name":"Computer-assisted translation","score":0.5271470546722412},{"id":"https://openalex.org/keywords/transfer-based-machine-translation","display_name":"Transfer-based machine translation","score":0.5022807121276855},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.48409712314605713},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4788255989551544},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44568362832069397},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.4359268546104431},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4194849133491516},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1932576596736908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8498534560203552},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7411421537399292},{"id":"https://openalex.org/C148526163","wikidata":"https://www.wikidata.org/wiki/Q6723733","display_name":"Machine translation software usability","level":4,"score":0.657135009765625},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.6369011402130127},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6083570718765259},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.604411244392395},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5763421654701233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5556148886680603},{"id":"https://openalex.org/C110046852","wikidata":"https://www.wikidata.org/wiki/Q468495","display_name":"Computer-assisted translation","level":3,"score":0.5271470546722412},{"id":"https://openalex.org/C130597682","wikidata":"https://www.wikidata.org/wiki/Q6961922","display_name":"Transfer-based machine translation","level":4,"score":0.5022807121276855},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.48409712314605713},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4788255989551544},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44568362832069397},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.4359268546104431},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4194849133491516},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1932576596736908},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3482632.3482750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3482632.3482750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Information Systems and Computer Aided Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3204448004","https://openalex.org/W2010336863","https://openalex.org/W2566847733","https://openalex.org/W2383963481","https://openalex.org/W2027317339","https://openalex.org/W2184842915","https://openalex.org/W4251618855","https://openalex.org/W3036784334","https://openalex.org/W1504625892","https://openalex.org/W1607929531"],"abstract_inverted_index":{"With":[0,33],"the":[1,30,34,41,94,101,109,117,126,143],"development":[2,36,42],"of":[3,37,45,62,90,104,119,129,145],"modern":[4],"information":[5,74],"technology,":[6,40],"network":[7],"teaching":[8],"is":[9,57],"becoming":[10],"more":[11,13,51,53],"and":[12,43,52,76,92,116,132],"popular,":[14],"which":[15,66,107,123],"provides":[16],"a":[17,68],"strong":[18],"technical":[19],"support":[20],"for":[21],"English":[22,25,46,105,130,151],"teaching.":[23],"Many":[24],"translation":[26,47,56,81,114,146,152],"tools":[27],"emerge":[28],"as":[29,98],"times":[31],"require.":[32],"rapid":[35],"computer":[38],"software":[39,48],"application":[44,70,144],"has":[49,67],"attracted":[50],"attention.":[54],"Machine":[55],"an":[58],"important":[59],"research":[60],"field":[61],"natural":[63],"language":[64,131],"processing,":[65],"wide":[69],"prospect":[71],"in":[72,150],"today's":[73],"society":[75],"military":[77],"departments.":[78],"Traditional":[79],"machine":[80],"methods":[82],"use":[83],"pipeline":[84],"successive":[85],"operations":[86],"to":[87,99,125],"identify":[88],"parts":[89],"speech":[91],"parse":[93],"original":[95],"corpus,":[96],"so":[97],"obtain":[100],"syntactic":[102],"structure":[103],"language,":[106],"makes":[108],"error":[110],"iterative":[111],"transmission":[112],"between":[113],"tasks":[115],"accuracy":[118,128,147],"structured":[120],"examples":[121],"lower,":[122],"leads":[124],"lower":[127],"literature":[133],"translation.":[134],"Based":[135],"on":[136],"rough":[137],"set":[138],"theory,":[139],"this":[140],"paper":[141],"expounds":[142],"correction":[148],"algorithm":[149],"software.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
