{"id":"https://openalex.org/W3091824293","doi":"https://doi.org/10.3233/jifs-189407","title":"Japanese translation teaching corpus based on bilingual non parallel data model","display_name":"Japanese translation teaching corpus based on bilingual non parallel data model","publication_year":2020,"publication_date":"2020-10-06","ids":{"openalex":"https://openalex.org/W3091824293","doi":"https://doi.org/10.3233/jifs-189407","mag":"3091824293"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-189407","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189407","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5114148757","display_name":"Zheng Guo","orcid":"https://orcid.org/0009-0009-9039-1159"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Guo","raw_affiliation_strings":["School of Humanities, Ningbo University of Finance and Economics, Ningbo Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Humanities, Ningbo University of Finance and Economics, Ningbo Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042827043","display_name":"Zhu Jifeng","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Jifeng","raw_affiliation_strings":["School of Humanities, Ningbo University of Finance and Economics, Ningbo Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Humanities, Ningbo University of Finance and Economics, Ningbo Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5114148757"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":1.043,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82427572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"40","issue":"2","first_page":"3731","last_page":"3741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.98580002784729,"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/T10759","display_name":"Translation Studies and Practices","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8703001737594604},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.8232482671737671},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7237280607223511},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.7067854404449463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657673716545105},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6147692203521729},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6000171899795532},{"id":"https://openalex.org/keywords/parallel-corpora","display_name":"Parallel corpora","score":0.5468050241470337},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4407285451889038},{"id":"https://openalex.org/keywords/computer-assisted-translation","display_name":"Computer-assisted translation","score":0.4348078966140747},{"id":"https://openalex.org/keywords/transfer-based-machine-translation","display_name":"Transfer-based machine translation","score":0.4199655055999756},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17087194323539734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8703001737594604},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8232482671737671},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7237280607223511},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.7067854404449463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657673716545105},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6147692203521729},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6000171899795532},{"id":"https://openalex.org/C2985367798","wikidata":"https://www.wikidata.org/wiki/Q1346592","display_name":"Parallel corpora","level":3,"score":0.5468050241470337},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4407285451889038},{"id":"https://openalex.org/C110046852","wikidata":"https://www.wikidata.org/wiki/Q468495","display_name":"Computer-assisted translation","level":3,"score":0.4348078966140747},{"id":"https://openalex.org/C130597682","wikidata":"https://www.wikidata.org/wiki/Q6961922","display_name":"Transfer-based machine translation","level":4,"score":0.4199655055999756},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17087194323539734},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-189407","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189407","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2093379300","https://openalex.org/W2107695330","https://openalex.org/W2140406733","https://openalex.org/W2145809663","https://openalex.org/W2250644439","https://openalex.org/W2278701341","https://openalex.org/W2298872792","https://openalex.org/W2397451137","https://openalex.org/W2517953077","https://openalex.org/W2581133659","https://openalex.org/W2906191541","https://openalex.org/W6680859986"],"related_works":["https://openalex.org/W2010336863","https://openalex.org/W2027317339","https://openalex.org/W1559710535","https://openalex.org/W3204448004","https://openalex.org/W2566847733","https://openalex.org/W4321010057","https://openalex.org/W193726211","https://openalex.org/W3939803","https://openalex.org/W4226215123","https://openalex.org/W4378619223"],"abstract_inverted_index":{"In":[0,51,106,193],"recent":[1],"years,":[2],"with":[3,155,176],"the":[4,22,43,55,66,82,107,117,132,161,177,180,185,195,200],"development":[5],"of":[6,24,42,57,109,150,202],"Internet":[7],"and":[8,28,62,88,134,214,218],"intelligent":[9,29],"technology,":[10],"Japanese":[11,48,76,94,156,222],"translation":[12,33,49,77,95,98,118,138,153,157,172,203,223],"teaching":[13,19,78,96],"has":[14,38,170,215],"gradually":[15,39],"explored":[16],"a":[17,75,137],"new":[18],"mode.":[20],"Under":[21],"guidance":[23],"natural":[25],"language":[26],"processing":[27],"machine":[30,32,70,97],"translation,":[31,71],"based":[34,80,121,141,198],"on":[35,81,122,142,199],"statistical":[36],"model":[37,99,140,154,165],"become":[40],"one":[41],"primary":[44],"auxiliary":[45,104],"tools":[46],"in":[47,65,167,184,208,220],"teaching.":[50,224],"order":[52],"to":[53,92,101,126],"solve":[54],"problems":[56],"small":[58],"scale,":[59],"slow":[60],"speed":[61],"incomplete":[63],"field":[64],"traditional":[67],"parallel":[68,85,113,128,145,186],"corpus":[69,79,91,158],"this":[72,90,168,209],"paper":[73,169,210],"constructs":[74],"bilingual":[83,162],"non":[84,112,144],"data":[86,164],"model,":[87],"uses":[89],"train":[93],"Moses":[100,152],"get":[102],"better":[103,216],"effect.":[105],"process":[108],"construction,":[110],"for":[111],"corpus,":[114,133],"we":[115],"use":[116],"retrieval":[119,139,173,196],"framework":[120],"word":[123],"graph":[124,206],"representation":[125],"extract":[127],"sentence":[129,187],"pairs":[130],"from":[131],"then":[135],"build":[136],"Bilingual":[143],"data.":[146],"The":[147],"experimental":[148],"results":[149],"training":[151],"show":[159],"that":[160],"nonparallel":[163],"constructed":[166],"good":[171],"performance.":[174],"Compared":[175],"existing":[178],"algorithm,":[179],"Bleu":[181],"value":[182],"extracted":[183],"pair":[188],"is":[189,211],"increased":[190],"by":[191],"2.58.":[192],"addition,":[194],"method":[197],"structure":[201],"option":[204],"words":[205],"proposed":[207],"time":[212],"efficient":[213],"performance":[217],"efficiency":[219],"assisting":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
