{"id":"https://openalex.org/W4400678841","doi":"https://doi.org/10.1162/tacl_a_00677","title":"Context-Aware Machine Translation with Source Coreference Explanation","display_name":"Context-Aware Machine Translation with Source Coreference Explanation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400678841","doi":"https://doi.org/10.1162/tacl_a_00677"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00677","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00677","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1162/tacl_a_00677","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101347536","display_name":"Huy Hien Vu","orcid":"https://orcid.org/0000-0002-5957-0345"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Huy Hien Vu","raw_affiliation_strings":["Nara Institute of Science and Technology, Japan. vu.huy_hien.va9@is.naist.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Japan. vu.huy_hien.va9@is.naist.jp","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016936747","display_name":"Hidetaka Kamigaito","orcid":"https://orcid.org/0000-0002-5249-5813"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidetaka Kamigaito","raw_affiliation_strings":["Nara Institute of Science and Technology, Japan. kamigaito.h@is.naist.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Japan. kamigaito.h@is.naist.jp","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102396915","display_name":"Taro Watanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taro Watanabe","raw_affiliation_strings":["Nara Institute of Science and Technology, Japan. taro@is.naist.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Japan. taro@is.naist.jp","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":1.1114,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80751057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"856","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.996399998664856,"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":0.8898138999938965},{"id":"https://openalex.org/keywords/coreference","display_name":"Coreference","score":0.8892897367477417},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7122374773025513},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6712037324905396},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6145107746124268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5918660759925842},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5746089816093445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3329429626464844},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.3263810873031616},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.07833975553512573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8898138999938965},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.8892897367477417},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7122374773025513},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6712037324905396},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6145107746124268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918660759925842},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5746089816093445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3329429626464844},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.3263810873031616},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.07833975553512573},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/tacl_a_00677","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00677","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6bf9c3ccc9774f11bd0372385348322b","is_oa":true,"landing_page_url":"https://doaj.org/article/6bf9c3ccc9774f11bd0372385348322b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 12 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00677","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00677","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G2363020693","display_name":"A Study on Multi-modal Automatic Simultaneous Interpretation System and Evaluation Method","funder_award_id":"21H05054","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1631063262","https://openalex.org/W1902237438","https://openalex.org/W1965693266","https://openalex.org/W2097333193","https://openalex.org/W2104029044","https://openalex.org/W2131554698","https://openalex.org/W2153653739","https://openalex.org/W2594047108","https://openalex.org/W2608029998","https://openalex.org/W2612690371","https://openalex.org/W2782238183","https://openalex.org/W2799051177","https://openalex.org/W2900065283","https://openalex.org/W2902537726","https://openalex.org/W2952446148","https://openalex.org/W2962717763","https://openalex.org/W2962784628","https://openalex.org/W2962802109","https://openalex.org/W2963532001","https://openalex.org/W2963842551","https://openalex.org/W2963876447","https://openalex.org/W2964085268","https://openalex.org/W2964093087","https://openalex.org/W2964202354","https://openalex.org/W2964222246","https://openalex.org/W2970694516","https://openalex.org/W2972324944","https://openalex.org/W2985010700","https://openalex.org/W3035520602","https://openalex.org/W3035589854","https://openalex.org/W3103878009","https://openalex.org/W3105214104","https://openalex.org/W3175081470","https://openalex.org/W4205902821","https://openalex.org/W4212774754","https://openalex.org/W4229016505","https://openalex.org/W4229853184","https://openalex.org/W4241645538","https://openalex.org/W4285121328","https://openalex.org/W4303105513","https://openalex.org/W4385570844","https://openalex.org/W4385689081","https://openalex.org/W4389520065","https://openalex.org/W4390897644","https://openalex.org/W4391156274","https://openalex.org/W4399851779","https://openalex.org/W6674571003","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6685145238","https://openalex.org/W6736549440","https://openalex.org/W6737778391","https://openalex.org/W6739901393","https://openalex.org/W6743726175","https://openalex.org/W6749996792","https://openalex.org/W6751887365","https://openalex.org/W6752136759","https://openalex.org/W6755207826","https://openalex.org/W6760596418","https://openalex.org/W6764619240","https://openalex.org/W6779357159","https://openalex.org/W6796679653","https://openalex.org/W6797816506","https://openalex.org/W6801878100","https://openalex.org/W6847483895","https://openalex.org/W6860561651"],"related_works":["https://openalex.org/W3041549465","https://openalex.org/W2380610138","https://openalex.org/W3171444480","https://openalex.org/W4206648670","https://openalex.org/W1495336436","https://openalex.org/W3212412177","https://openalex.org/W3173436410","https://openalex.org/W1594011529","https://openalex.org/W2339319059","https://openalex.org/W2775554247"],"abstract_inverted_index":{"Abstract":[0],"Despite":[1],"significant":[2],"improvements":[3],"in":[4,16,65,87,122],"enhancing":[5],"the":[6,21,30,36,51,55,78,88,103,123,131,135],"quality":[7],"of":[8,20,111,128,143],"translation,":[9],"context-aware":[10,152],"machine":[11],"translation":[12,82,106,126],"(MT)":[13],"models":[14,43,56],"underperform":[15],"many":[17],"cases.":[18],"One":[19],"main":[22],"reasons":[23],"is":[24,38],"that":[25,76],"they":[26],"fail":[27],"to":[28,50,61],"utilize":[29],"correct":[31],"features":[32,59,86,100],"from":[33,101],"context":[34,37],"when":[35,148],"too":[39],"long":[40],"or":[41],"their":[42],"are":[44],"overly":[45],"complex.":[46],"This":[47],"can":[48],"lead":[49],"explain-away":[52],"effect,":[53],"wherein":[54],"only":[57],"consider":[58],"easier":[60],"explain":[62],"predictions,":[63],"resulting":[64],"inaccurate":[66],"translations.":[67],"To":[68],"address":[69],"this":[70],"issue,":[71],"we":[72],"propose":[73],"a":[74,92],"model":[75,93],"explains":[77],"decisions":[79],"made":[80],"for":[81,94],"by":[83,97],"predicting":[84],"coreference":[85,96],"input.":[89],"We":[90,116],"construct":[91],"input":[95,104],"exploiting":[98],"contextual":[99],"both":[102],"and":[105,118,134],"output":[107],"representations":[108],"on":[109],"top":[110],"an":[112,141],"existing":[113],"MT":[114],"model.":[115],"evaluate":[117],"analyze":[119],"our":[120],"method":[121],"WMT":[124],"document-level":[125],"task":[127],"English-German":[129],"dataset,":[130,133,139],"English-Russian":[132],"multilingual":[136],"TED":[137],"talk":[138],"demonstrating":[140],"improvement":[142],"over":[144],"1.0":[145],"BLEU":[146],"score":[147],"compared":[149],"with":[150],"other":[151],"models.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}