{"id":"https://openalex.org/W2963598809","doi":"https://doi.org/10.18653/v1/d16-1249","title":"Supervised Attentions for Neural Machine Translation","display_name":"Supervised Attentions for Neural Machine Translation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2963598809","doi":"https://doi.org/10.18653/v1/d16-1249","mag":"2963598809"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1249","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1249","pdf_url":"https://www.aclweb.org/anthology/D16-1249.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1249.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071533156","display_name":"Haitao Mi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123431","display_name":"A.S. Watson (Netherlands)","ror":"https://ror.org/030nx8440","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210123431"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["NL","US"],"is_corresponding":true,"raw_author_name":"Haitao Mi","raw_affiliation_strings":["Watson Research Center","IBM 1101 Kitchawan Rd, Yorktown Heights, NY 10598"],"affiliations":[{"raw_affiliation_string":"Watson Research Center","institution_ids":["https://openalex.org/I4210123431"]},{"raw_affiliation_string":"IBM 1101 Kitchawan Rd, Yorktown Heights, NY 10598","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430087","display_name":"Zhiguo Wang","orcid":"https://orcid.org/0000-0002-2412-6172"},"institutions":[{"id":"https://openalex.org/I4210123431","display_name":"A.S. Watson (Netherlands)","ror":"https://ror.org/030nx8440","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210123431"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Zhiguo Wang","raw_affiliation_strings":["Watson Research Center","IBM 1101 Kitchawan Rd, Yorktown Heights, NY 10598"],"affiliations":[{"raw_affiliation_string":"Watson Research Center","institution_ids":["https://openalex.org/I4210123431"]},{"raw_affiliation_string":"IBM 1101 Kitchawan Rd, Yorktown Heights, NY 10598","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112552652","display_name":"Abe Ittycheriah","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210123431","display_name":"A.S. Watson (Netherlands)","ror":"https://ror.org/030nx8440","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210123431"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Abe Ittycheriah","raw_affiliation_strings":["IBM 1101 Kitchawan Rd, Yorktown Heights, NY 10598","Watson Research Center"],"affiliations":[{"raw_affiliation_string":"IBM 1101 Kitchawan Rd, Yorktown Heights, NY 10598","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"Watson Research Center","institution_ids":["https://openalex.org/I4210123431"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071533156"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210123431"],"apc_list":null,"apc_paid":null,"fwci":28.2795,"has_fulltext":true,"cited_by_count":124,"citation_normalized_percentile":{"value":0.99585306,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T13629","display_name":"Text Readability and Simplification","score":0.9768999814987183,"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/machine-translation","display_name":"Machine translation","score":0.9091489315032959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8305027484893799},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6671474575996399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6540842652320862},{"id":"https://openalex.org/keywords/machine-translation-system","display_name":"Machine translation system","score":0.6351667642593384},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6165645718574524},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6039772033691406},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5904245376586914},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5586928725242615},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5542261600494385},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.5166728496551514},{"id":"https://openalex.org/keywords/transfer-based-machine-translation","display_name":"Transfer-based machine translation","score":0.4987776279449463},{"id":"https://openalex.org/keywords/synchronous-context-free-grammar","display_name":"Synchronous context-free grammar","score":0.44511425495147705},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.42032307386398315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36598628759384155},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3424551486968994},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07171595096588135}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.9091489315032959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8305027484893799},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6671474575996399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6540842652320862},{"id":"https://openalex.org/C2986258472","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation system","level":3,"score":0.6351667642593384},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6165645718574524},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6039772033691406},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5904245376586914},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5586928725242615},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5542261600494385},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.5166728496551514},{"id":"https://openalex.org/C130597682","wikidata":"https://www.wikidata.org/wiki/Q6961922","display_name":"Transfer-based machine translation","level":4,"score":0.4987776279449463},{"id":"https://openalex.org/C51802942","wikidata":"https://www.wikidata.org/wiki/Q7662211","display_name":"Synchronous context-free grammar","level":4,"score":0.44511425495147705},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.42032307386398315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36598628759384155},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3424551486968994},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07171595096588135},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1249","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1249","pdf_url":"https://www.aclweb.org/anthology/D16-1249.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1249","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1249","pdf_url":"https://www.aclweb.org/anthology/D16-1249.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963598809.pdf","grobid_xml":"https://content.openalex.org/works/W2963598809.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1513462981","https://openalex.org/W1902237438","https://openalex.org/W1973923101","https://openalex.org/W2100664567","https://openalex.org/W2117238933","https://openalex.org/W2126946601","https://openalex.org/W2133564696","https://openalex.org/W2145033586","https://openalex.org/W2148708890","https://openalex.org/W2162245945","https://openalex.org/W2163403121","https://openalex.org/W2169724380","https://openalex.org/W2180952760","https://openalex.org/W2212846646","https://openalex.org/W2251299219","https://openalex.org/W2291126447","https://openalex.org/W2361821140","https://openalex.org/W2561274697","https://openalex.org/W2577335011","https://openalex.org/W2963937700","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2166769824","https://openalex.org/W1656514314","https://openalex.org/W318813979","https://openalex.org/W2163454936","https://openalex.org/W80085545","https://openalex.org/W1504625892","https://openalex.org/W2106477919","https://openalex.org/W148056595","https://openalex.org/W1600615810","https://openalex.org/W2086774483"],"abstract_inverted_index":{"In":[0],"this":[1,37],"paper,":[2],"we":[3],"improve":[4],"the":[5,16,25,28,32,40,61],"attention":[6],"or":[7],"alignment":[8,57],"accuracy":[9],"of":[10,18],"neural":[11,63],"machine":[12,29,64],"translation":[13,55,65],"by":[14],"utilizing":[15],"alignments":[17],"training":[19,41],"sentence":[20],"pairs.":[21],"We":[22],"simply":[23],"compute":[24],"distance":[26],"between":[27],"attentions":[30],"and":[31,35,56,67],"\"true\"":[33],"alignments,":[34],"minimize":[36],"cost":[38],"in":[39],"procedure.":[42],"Our":[43],"experiments":[44],"on":[45],"large-scale":[46],"Chinese-to-English":[47],"task":[48],"show":[49],"that":[50],"our":[51],"model":[52],"improves":[53],"both":[54],"qualities":[58],"significantly":[59],"over":[60],"large-vocabulary":[62],"system,":[66],"even":[68],"beats":[69],"a":[70],"state-of-the-art":[71],"traditional":[72],"syntax-based":[73],"system.":[74]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":29},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
