{"id":"https://openalex.org/W2962954913","doi":"https://doi.org/10.18653/v1/d16-1027","title":"Memory-enhanced Decoder for Neural Machine Translation","display_name":"Memory-enhanced Decoder for Neural Machine Translation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2962954913","doi":"https://doi.org/10.18653/v1/d16-1027","mag":"2962954913"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1027","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1027","pdf_url":"https://www.aclweb.org/anthology/D16-1027.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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1027.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101693712","display_name":"Mingxuan Wang","orcid":"https://orcid.org/0009-0000-9738-4263"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxuan Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084830556","display_name":"Zhengdong Lu","orcid":"https://orcid.org/0000-0002-6418-6030"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zhengdong Lu","raw_affiliation_strings":["Noah's Ark Lab, Huawei Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei Technologies","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455129","display_name":"Hang Li","orcid":"https://orcid.org/0000-0002-1230-4007"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["Noah's Ark Lab, Huawei Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei Technologies","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"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":["CN","IE"],"is_corresponding":false,"raw_author_name":"Qun Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences","ADAPT Centre, School of Computing, Dublin City University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"ADAPT Centre, School of Computing, Dublin City University","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"286"},"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9751999974250793,"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":0.8950632810592651},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8194074034690857},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7967729568481445},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5460789203643799},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5043469667434692},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4754098057746887},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.458322674036026},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.45457762479782104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44123727083206177},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4277239739894867},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42177531123161316},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3359720706939697},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24549922347068787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23132020235061646},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12873616814613342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8950632810592651},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8194074034690857},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7967729568481445},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5460789203643799},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5043469667434692},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4754098057746887},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.458322674036026},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.45457762479782104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44123727083206177},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4277239739894867},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42177531123161316},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3359720706939697},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24549922347068787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23132020235061646},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12873616814613342},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1027","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1027","pdf_url":"https://www.aclweb.org/anthology/D16-1027.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/d16-1027","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1027","pdf_url":"https://www.aclweb.org/anthology/D16-1027.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","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962954913.pdf","grobid_xml":"https://content.openalex.org/works/W2962954913.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1902237438","https://openalex.org/W1904365287","https://openalex.org/W2064675550","https://openalex.org/W2095690342","https://openalex.org/W2100495367","https://openalex.org/W2101105183","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2165115000","https://openalex.org/W2175740768","https://openalex.org/W2267186426","https://openalex.org/W2410539690","https://openalex.org/W2963232029","https://openalex.org/W2963260202","https://openalex.org/W2964308564","https://openalex.org/W2964335273","https://openalex.org/W4303633609"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2883671469","https://openalex.org/W2728761353"],"abstract_inverted_index":{"We":[0],"propose":[1],"to":[2,22,47,65,83],"enhance":[3],"the":[4,23,26,55,67,72,86,90,119,124],"RNN":[5,30],"decoder":[6,31],"in":[7,25,58,74],"a":[8,17,77],"neural":[9],"machine":[10],"translator":[11],"(NMT)":[12],"with":[13,52,79,123],"external":[14],"memory,":[15],"as":[16],"natural":[18],"but":[19],"powerful":[20],"extension":[21],"state":[24],"decoding":[27,91],"RNN.This":[28],"memory-enhanced":[29],"is":[32,76],"called":[33],"MEMDEC.At":[34],"each":[35,94],"time":[36,95],"during":[37],"decoding,":[38],"MEMDEC":[39,75],"will":[40],"read":[41],"from":[42],"this":[43,48],"memory":[44,49,57,73],"and":[45,112],"write":[46],"once,":[50],"both":[51],"content-based":[53],"addressing.Unlike":[54],"unbounded":[56],"previous":[59],"work":[60],"(Bahdanau":[61],"et":[62],"al.,":[63],"2014)":[64],"store":[66],"representation":[68],"of":[69],"source":[70],"sentence,":[71],"matrix":[78],"predetermined":[80],"size":[81],"designed":[82],"better":[84],"capture":[85],"information":[87],"important":[88],"for":[89],"process":[92],"at":[93],"step.Our":[96],"empirical":[97],"study":[98],"on":[99,116],"Chinese-English":[100],"translation":[101],"shows":[102],"that":[103],"it":[104],"can":[105],"improve":[106],"by":[107],"4.8":[108],"BLEU":[109,114],"upon":[110,115],"Groundhog":[111],"5.3":[113],"Moses,":[117],"yielding":[118],"best":[120],"performance":[121],"achieved":[122],"same":[125],"training":[126],"set.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
