乐胖代购免代理版

{"id":"https://openalex.org/W3183960553","doi":"https://doi.org/10.18653/v1/2021.wat-1.9","title":"Rakuten\u2019s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation","display_name":"Rakuten\u2019s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183960553","doi":"https://doi.org/10.18653/v1/2021.wat-1.9","mag":"3183960553"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.wat-1.9","pdf_url":"https://aclanthology.org/2021.wat-1.9.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2021.wat-1.9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108697025","display_name":"Raymond Hendy Susanto","orcid":null},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Raymond Hendy Susanto","raw_affiliation_strings":["Rakuten Institute of Technology Rakuten Group, Inc."],"affiliations":[{"raw_affiliation_string":"Rakuten Institute of Technology Rakuten Group, Inc.","institution_ids":["https://openalex.org/I1301041018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041201587","display_name":"Dongzhe Wang","orcid":"https://orcid.org/0000-0002-1467-6023"},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dongzhe Wang","raw_affiliation_strings":["Rakuten Institute of Technology Rakuten Group, Inc."],"affiliations":[{"raw_affiliation_string":"Rakuten Institute of Technology Rakuten Group, Inc.","institution_ids":["https://openalex.org/I1301041018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808967","display_name":"Sunil Kumar Yadav","orcid":"https://orcid.org/0000-0002-7996-6427"},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sunil Yadav","raw_affiliation_strings":["Rakuten Institute of Technology Rakuten Group, Inc."],"affiliations":[{"raw_affiliation_string":"Rakuten Institute of Technology Rakuten Group, Inc.","institution_ids":["https://openalex.org/I1301041018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022950524","display_name":"Mausam Jain","orcid":"https://orcid.org/0000-0002-6389-9629"},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mausam Jain","raw_affiliation_strings":["Rakuten Institute of Technology Rakuten Group, Inc."],"affiliations":[{"raw_affiliation_string":"Rakuten Institute of Technology Rakuten Group, Inc.","institution_ids":["https://openalex.org/I1301041018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019368424","display_name":"Ohnmar Htun","orcid":"https://orcid.org/0000-0001-9265-9280"},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ohnmar Htun","raw_affiliation_strings":["Rakuten Institute of Technology Rakuten Group, Inc."],"affiliations":[{"raw_affiliation_string":"Rakuten Institute of Technology Rakuten Group, Inc.","institution_ids":["https://openalex.org/I1301041018"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.12,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.433814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":72},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"105"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9992,"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":0.9976,"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/representation","display_name":"Representation","score":0.43701175}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8416425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8079486},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6447047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845457},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4961489},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47950178},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43701175},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41317606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05395186},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.wat-1.9","pdf_url":"https://aclanthology.org/2021.wat-1.9.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.wat-1.9","pdf_url":"https://aclanthology.org/2021.wat-1.9.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2093790824","https://openalex.org/W2101105183","https://openalex.org/W2277195237","https://openalex.org/W2573761686","https://openalex.org/W2595715041","https://openalex.org/W2745461083","https://openalex.org/W2759088880","https://openalex.org/W2933138175","https://openalex.org/W2948735718","https://openalex.org/W2958953787","https://openalex.org/W2962784628","https://openalex.org/W2963250244","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W2964343359","https://openalex.org/W2977587102","https://openalex.org/W2982924472","https://openalex.org/W2995558462","https://openalex.org/W3000965575","https://openalex.org/W3028630450","https://openalex.org/W3035390927","https://openalex.org/W3046368065","https://openalex.org/W3107826490","https://openalex.org/W3113850592","https://openalex.org/W3114963600","https://openalex.org/W3115997577","https://openalex.org/W3117473549","https://openalex.org/W4287694131","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4362495644","https://openalex.org/W3151736118","https://openalex.org/W3011059803","https://openalex.org/W2962780935","https://openalex.org/W2883671469","https://openalex.org/W2785900585","https://openalex.org/W2728761353","https://openalex.org/W2402761219","https://openalex.org/W2353730437","https://openalex.org/W2012531322"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"our":[3],"neural":[4],"machine":[5],"translation":[6,14,35,67,91],"systems\u2019":[7],"participation":[8],"in":[9,21,72],"the":[10,22,78],"WAT":[11],"2021":[12],"shared":[13],"tasks":[15],"(team":[16],"ID:":[17],"sakura).":[18],"We":[19,99],"participated":[20],"(i)":[23],"NICT-SAP,":[24],"(ii)":[25],"Japanese-English":[26],"multimodal":[27,103],"translation,":[28],"(iii)":[29],"Multilingual":[30,37],"Indic,":[31],"and":[32,96,114],"(iv)":[33],"Myanmar-English":[34],"tasks.":[36],"approaches":[38],"such":[39,84],"as":[40],"mBART":[41,124],"(Liu":[42],"et":[43,111],"al.,":[44,112],"2020)":[45],"are":[46],"capable":[47],"of":[48,80],"pre-training":[49],"a":[50,60,85,102,119],"complete,":[51],"multilingual":[52,66,81,86],"sequence-to-sequence":[53],"model":[54,88],"through":[55],"denoising":[56],"objectives,":[57],"making":[58],"it":[59],"great":[61],"starting":[62],"point":[63],"for":[64],"building":[65],"systems.":[68],"Our":[69],"main":[70],"focus":[71],"this":[73],"work":[74],"is":[75],"to":[76],"investigate":[77],"effectiveness":[79],"finetuning":[82],"on":[83,89,106,123],"language":[87],"various":[90],"tasks,":[92],"including":[93],"low-resource,":[94],"multimodal,":[95],"mixed-domain":[97],"translation.":[98],"further":[100],"explore":[101],"approach":[104,121],"based":[105,122],"universal":[107],"visual":[108],"representation":[109],"(Zhang":[110],"2019)":[113],"compare":[115],"its":[116],"performance":[117],"against":[118],"unimodal":[120],"alone.":[125]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3183960553","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-01-19T01:59:22.535925","created_date":"2021-08-02"}