{"id":"https://openalex.org/W3174570731","doi":"https://doi.org/10.1109/tmm.2021.3092187","title":"Enhancing Neural Machine Translation With Dual-Side Multimodal Awareness","display_name":"Enhancing Neural Machine Translation With Dual-Side Multimodal Awareness","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3174570731","doi":"https://doi.org/10.1109/tmm.2021.3092187","mag":"3174570731"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3092187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3092187","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5088459000","display_name":"Yuqing Song","orcid":"https://orcid.org/0000-0002-0246-4330"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Song","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0246-4330","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776086","display_name":"Shizhe Chen","orcid":"https://orcid.org/0000-0002-7313-9703"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Shizhe Chen","raw_affiliation_strings":["INRIA, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-7313-9703","affiliations":[{"raw_affiliation_string":"INRIA, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009985839","display_name":"Qin Jin","orcid":"https://orcid.org/0000-0001-6486-6020"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Jin","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6486-6020","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718116","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0003-1431-4134"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Luo","raw_affiliation_strings":["Alibaba DAMO Academy, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037685378","display_name":"Jun Xie","orcid":"https://orcid.org/0000-0002-5604-7508"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xie","raw_affiliation_strings":["Alibaba DAMO Academy, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101488344","display_name":"Fei Huang","orcid":"https://orcid.org/0000-0002-3709-5053"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Huang","raw_affiliation_strings":["Alibaba DAMO Academy, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3709-5053","affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6595,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70265155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"24","issue":null,"first_page":"3013","last_page":"3024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.885695219039917},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7777206897735596},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7701169848442078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6036655902862549},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.42019155621528625},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.356139600276947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35289818048477173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.885695219039917},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7777206897735596},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7701169848442078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6036655902862549},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.42019155621528625},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.356139600276947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35289818048477173},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3092187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3092187","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3559890440","display_name":null,"funder_award_id":"4192028","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G3625693645","display_name":null,"funder_award_id":"61772535","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8390650537","display_name":null,"funder_award_id":"62072462","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1773149199","https://openalex.org/W1996430422","https://openalex.org/W2101105183","https://openalex.org/W2123442489","https://openalex.org/W2133459682","https://openalex.org/W2156830856","https://openalex.org/W2157331557","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2250342921","https://openalex.org/W2277195237","https://openalex.org/W2549139847","https://openalex.org/W2581101319","https://openalex.org/W2593341061","https://openalex.org/W2726413184","https://openalex.org/W2740091278","https://openalex.org/W2740565324","https://openalex.org/W2888070626","https://openalex.org/W2904651132","https://openalex.org/W2913618459","https://openalex.org/W2915756181","https://openalex.org/W2945059185","https://openalex.org/W2950207430","https://openalex.org/W2950886580","https://openalex.org/W2962784628","https://openalex.org/W2963084599","https://openalex.org/W2963331233","https://openalex.org/W2963360627","https://openalex.org/W2963407669","https://openalex.org/W2963703197","https://openalex.org/W2963909453","https://openalex.org/W2966618235","https://openalex.org/W2980216782","https://openalex.org/W2982573303","https://openalex.org/W2990216675","https://openalex.org/W2997908677","https://openalex.org/W3034773362","https://openalex.org/W3034871396","https://openalex.org/W3035276082","https://openalex.org/W3035313462","https://openalex.org/W3035589854","https://openalex.org/W3083614545","https://openalex.org/W3102475290","https://openalex.org/W3106013275","https://openalex.org/W3107492437","https://openalex.org/W4297780100","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6681644459","https://openalex.org/W6681703963","https://openalex.org/W6685322675","https://openalex.org/W6685350579","https://openalex.org/W6729887601","https://openalex.org/W6739901393","https://openalex.org/W6747225742","https://openalex.org/W6755401717","https://openalex.org/W6772199483"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2775554247","https://openalex.org/W2728761353","https://openalex.org/W2883671469","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111","https://openalex.org/W4327642362","https://openalex.org/W2587014613"],"abstract_inverted_index":{"Multimodal":[0],"machine":[1,84],"translation":[2,123,165],"(MMT)":[3],"aims":[4],"to":[5,25,76,92,116],"translate":[6],"a":[7,53,88,105,111],"sentence":[8],"in":[9,73,101,148],"the":[10,14,18,27,42,46,57,70,79,95,102,108,122,125,138,145,158,170],"source":[11],"language":[12,16],"into":[13,37],"target":[15],"with":[17,104],"context":[19],"of":[20,121],"an":[21,65],"associated":[22],"image.":[23],"According":[24],"where":[26],"visual":[28,43,54,71,80,113,119,146],"information":[29,44,81],"is":[30],"employed,":[31],"previous":[32],"approaches":[33],"can":[34],"be":[35],"categorized":[36],"two":[38],"types:":[39],"directly":[40],"injecting":[41],"at":[45,56,107,124,174],"input":[47,134],"side":[48],"or":[49],"exploiting":[50],"it":[51],"as":[52],"constraint":[55],"objective":[58],"side.":[59],"In":[60],"this":[61],"work,":[62],"we":[63],"propose":[64],"IO-MMT":[66],"model":[67],"which":[68],"exploits":[69],"assistance":[72,114,147],"dual":[74,149],"sides":[75,150],"fully":[77],"exploit":[78,94],"for":[82],"multimodal":[83,90],"translation.":[85],"It":[86],"contains":[87],"relation-aware":[89],"transformer":[91],"simultaneously":[93],"objects":[96],"and":[97,110,133,156,163,172],"their":[98],"spatial":[99],"relationships":[100],"image":[103],"graph":[106],"input-side":[109],"novel":[112],"structure":[115],"further":[117],"improve":[118],"consistency":[120],"objective-side.":[126],"Experimental":[127],"results":[128,160],"under":[129],"both":[130],"normal":[131],"setting":[132],"degradation":[135],"settings":[136],"on":[137,161],"Multi30k":[139],"benchmark":[140],"dataset":[141],"show":[142],"that":[143],"combining":[144],"consistently":[151],"outperforms":[152],"single-side":[153],"MMT":[154],"models":[155,173],"achieves":[157],"state-of-the-art":[159],"EN-DE":[162],"EN-FR":[164],"tasks.":[166],"We":[167],"will":[168],"release":[169],"codes":[171],"https://github.com/syuqings/MMT.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}