{"id":"https://openalex.org/W2581101319","doi":"https://doi.org/10.18653/v1/d17-1105","title":"Incorporating Global Visual Features into Attention-based Neural Machine Translation.","display_name":"Incorporating Global Visual Features into Attention-based Neural Machine Translation.","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2581101319","doi":"https://doi.org/10.18653/v1/d17-1105","mag":"2581101319"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1105","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1105","pdf_url":"https://www.aclweb.org/anthology/D17-1105.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D17-1105.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086777036","display_name":"Iacer Calixto","orcid":null},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Iacer Calixto","raw_affiliation_strings":["ADAPT Centre Dublin City University School of Computing Glasnevin, Dublin"],"affiliations":[{"raw_affiliation_string":"ADAPT Centre Dublin City University School of Computing Glasnevin, Dublin","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426170","display_name":"Qun Liu","orcid":"https://orcid.org/0000-0002-7000-1792"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Qun Liu","raw_affiliation_strings":["ADAPT Centre Dublin City University School of Computing Glasnevin, Dublin"],"affiliations":[{"raw_affiliation_string":"ADAPT Centre Dublin City University School of Computing Glasnevin, Dublin","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086777036"],"corresponding_institution_ids":["https://openalex.org/I42934936"],"apc_list":null,"apc_paid":null,"fwci":13.3033,"has_fulltext":true,"cited_by_count":153,"citation_normalized_percentile":{"value":0.98935642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"992","last_page":"1003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.8244009017944336},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7693086862564087},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6650862693786621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6444482207298279},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.612707793712616},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5400676131248474},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5302735567092896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5067301392555237},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4665510356426239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4643004536628723},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46381208300590515},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43424972891807556},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4164920747280121},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4111471176147461},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37951311469078064},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3693699836730957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8244009017944336},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7693086862564087},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6650862693786621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6444482207298279},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.612707793712616},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5400676131248474},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5302735567092896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5067301392555237},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4665510356426239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4643004536628723},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46381208300590515},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43424972891807556},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4164920747280121},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4111471176147461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37951311469078064},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3693699836730957},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1105","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1105","pdf_url":"https://www.aclweb.org/anthology/D17-1105.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1105","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1105","pdf_url":"https://www.aclweb.org/anthology/D17-1105.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1076797115","display_name":null,"funder_award_id":"co-funded","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G228147372","display_name":null,"funder_award_id":"Grant 13/RC/2106","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G2563910032","display_name":null,"funder_award_id":"13/RC/2106","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G3514550006","display_name":null,"funder_award_id":"Centre","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3875748329","display_name":null,"funder_award_id":"European Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3993907298","display_name":null,"funder_award_id":"13/RC/2106","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7300706396","display_name":null,"funder_award_id":"European Union Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8538941428","display_name":null,"funder_award_id":"Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8884546066","display_name":"QT21: Quality Translation 21","funder_award_id":"645452","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320320865","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2581101319.pdf","grobid_xml":"https://content.openalex.org/works/W2581101319.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W68733909","https://openalex.org/W648786980","https://openalex.org/W1514535095","https://openalex.org/W1527575280","https://openalex.org/W1686810756","https://openalex.org/W1753482797","https://openalex.org/W1810943226","https://openalex.org/W1895577753","https://openalex.org/W1902237438","https://openalex.org/W1934041838","https://openalex.org/W1947481528","https://openalex.org/W2064675550","https://openalex.org/W2081580037","https://openalex.org/W2101105183","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2130942839","https://openalex.org/W2133459682","https://openalex.org/W2133564696","https://openalex.org/W2139501017","https://openalex.org/W2144600658","https://openalex.org/W2146574666","https://openalex.org/W2149327368","https://openalex.org/W2157331557","https://openalex.org/W2159243025","https://openalex.org/W2185175083","https://openalex.org/W2212703438","https://openalex.org/W2247931231","https://openalex.org/W2250342921","https://openalex.org/W2251743902","https://openalex.org/W2345720230","https://openalex.org/W2406012631","https://openalex.org/W2417549359","https://openalex.org/W2481240925","https://openalex.org/W2508429489","https://openalex.org/W2509282593","https://openalex.org/W2512381898","https://openalex.org/W2513263213","https://openalex.org/W2516756687","https://openalex.org/W2593341061","https://openalex.org/W2595715041","https://openalex.org/W2760101375","https://openalex.org/W2950635152","https://openalex.org/W2962784628","https://openalex.org/W2962835968","https://openalex.org/W2962953664","https://openalex.org/W2963216553","https://openalex.org/W2963247703","https://openalex.org/W2963260202","https://openalex.org/W2963266340","https://openalex.org/W2963331233","https://openalex.org/W2963344439","https://openalex.org/W2963909453","https://openalex.org/W2963959597","https://openalex.org/W2964199361","https://openalex.org/W2964308564","https://openalex.org/W2998704965","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W3011059803","https://openalex.org/W2012262991","https://openalex.org/W2373794620","https://openalex.org/W2357294589","https://openalex.org/W2384400852","https://openalex.org/W2963259630","https://openalex.org/W2070920720","https://openalex.org/W2398549619","https://openalex.org/W1542743110"],"abstract_inverted_index":{"We":[0,86,111],"introduce":[1],"multi-modal,":[2,94],"attentionbased":[3],"Neural":[4],"Machine":[5],"Translation":[6],"(NMT)":[7],"models":[8,119],"which":[9,82],"incorporate":[10,76],"visual":[11],"features":[12,25,79],"into":[13,68],"different":[14,73],"parts":[15],"of":[16,145],"both":[17],"the":[18,21,41,47,58,89,101,133,143,150],"encoder":[19,48],"and":[20,34,51,70,81,98,116],"decoder.":[22],"Global":[23],"image":[24,78],"are":[26,35],"extracted":[27],"using":[28],"a":[29,105,124,153,160],"pre-trained":[30],"convolutional":[31],"neural":[32,155],"network":[33],"incorporated":[36],"(i)":[37],"as":[38,53],"words":[39],"in":[40],"source":[42],"sentence,":[43],"(ii)":[44],"to":[45,56,75,138],"initialise":[46,57],"hidden":[49,60],"state,":[50],"(iii)":[52],"additional":[54,102],"data":[55,96,103,135,169],"decoder":[59],"state.":[61],"In":[62],"our":[63,117,146],"experiments,":[64],"we":[65],"evaluate":[66],"translations":[67],"English":[69],"German,":[71],"how":[72],"strategies":[74],"global":[77],"compare":[80],"ones":[83],"perform":[84],"best.":[85],"also":[87,120],"study":[88],"impact":[90,107],"that":[91,100],"adding":[92],"synthetic":[93],"multilingual":[95],"brings":[97],"find":[99],"have":[104],"positive":[106],"on":[108,123,132,163,167],"multi-modal":[109],"models.":[110],"report":[112],"new":[113],"state-of-the-art":[114],"results":[115],"best":[118,144],"significantly":[121,157],"improve":[122],"comparable":[125],"Phrase-Based":[126],"Statistical":[127],"MT":[128],"(PBSMT)":[129],"model":[130,156,162],"trained":[131],"Multi30k":[134],"set":[136],"according":[137],"all":[139,164],"metrics":[140,165],"evaluated.":[141],"To":[142],"knowledge,":[147],"it":[148],"is":[149],"first":[151],"time":[152],"purely":[154],"improves":[158],"over":[159],"PBSMT":[161],"evaluated":[166],"this":[168],"set.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":8}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
