{"id":"https://openalex.org/W2963599677","doi":"https://doi.org/10.18653/v1/p17-1013","title":"Deep Neural Machine Translation with Linear Associative Unit","display_name":"Deep Neural Machine Translation with Linear Associative Unit","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963599677","doi":"https://doi.org/10.18653/v1/p17-1013","mag":"2963599677"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-1013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1013","pdf_url":"https://www.aclweb.org/anthology/P17-1013.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","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/P17-1013.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/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingxuan Wang","raw_affiliation_strings":["Mobile Internet Group, Tencent Technology Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile Internet Group, Tencent Technology Co., Ltd","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084830556","display_name":"Zhengdong Lu","orcid":"https://orcid.org/0000-0002-6418-6030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengdong Lu","raw_affiliation_strings":["DeeplyCurious"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeeplyCurious","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101853761","display_name":"Jie Zhou","orcid":"https://orcid.org/0009-0004-3384-0556"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["DeeplyCurious"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeeplyCurious","institution_ids":[]}]},{"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":["ADAPT Centre, School of Computing, Dublin City University","Institute of Computing Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADAPT Centre, School of Computing, Dublin City University","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101693712"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"145"},"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":0.9995999932289124,"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":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8429944515228271},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7981128692626953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981726050376892},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5757095813751221},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5503919124603271},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5146909356117249},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5043212175369263},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49814844131469727},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4678792357444763},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.43884509801864624},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.41765764355659485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1057698130607605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8429944515228271},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7981128692626953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981726050376892},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5757095813751221},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5503919124603271},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5146909356117249},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5043212175369263},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49814844131469727},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4678792357444763},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.43884509801864624},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.41765764355659485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1057698130607605},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-1013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1013","pdf_url":"https://www.aclweb.org/anthology/P17-1013.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-1013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1013","pdf_url":"https://www.aclweb.org/anthology/P17-1013.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"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/G3993907298","display_name":"ADAPT: Centre for Digital Content Platform Research","funder_award_id":"13/RC/2106","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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/W2963599677.pdf","grobid_xml":"https://content.openalex.org/works/W2963599677.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1026270304","https://openalex.org/W1771459135","https://openalex.org/W1810943226","https://openalex.org/W1815076433","https://openalex.org/W1902237438","https://openalex.org/W2016589492","https://openalex.org/W2064675550","https://openalex.org/W2100664567","https://openalex.org/W2101105183","https://openalex.org/W2110104386","https://openalex.org/W2118434577","https://openalex.org/W2118536060","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2152263452","https://openalex.org/W2153653739","https://openalex.org/W2157331557","https://openalex.org/W2175740768","https://openalex.org/W2194775991","https://openalex.org/W2250653840","https://openalex.org/W2274287116","https://openalex.org/W2525778437","https://openalex.org/W2561274697","https://openalex.org/W2949335953","https://openalex.org/W2950527759","https://openalex.org/W2950621961","https://openalex.org/W2962965465","https://openalex.org/W2963260202","https://openalex.org/W2963463964","https://openalex.org/W2963713328","https://openalex.org/W2963991316","https://openalex.org/W2964308564","https://openalex.org/W2964335273","https://openalex.org/W2964350391","https://openalex.org/W4241645538","https://openalex.org/W4303633609"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W2046912830","https://openalex.org/W279701215","https://openalex.org/W1974468537","https://openalex.org/W1984090010","https://openalex.org/W2107697999","https://openalex.org/W2049114128","https://openalex.org/W1902246517","https://openalex.org/W2102673654","https://openalex.org/W3145837419"],"abstract_inverted_index":{"Deep":[0],"Neural":[1,9],"Networks":[2],"(DNNs)":[3],"have":[4],"provably":[5],"enhanced":[6],"the":[7,45,52,70,75,96,141,146,165],"state-of-the-art":[8],"Machine":[10],"Translation":[11],"(NMT)":[12],"with":[13,28,130,164],"their":[14,32],"capability":[15],"in":[16,31,145],"modeling":[17],"complex":[18,22],"functions":[19],"and":[20,84,93,107,140,153],"capturing":[21],"linguistic":[23],"structures.":[24],"However":[25],"NMT":[26],"systems":[27],"deep":[29],"architecture":[30],"encoder":[33],"or":[34],"decoder":[35],"RNNs":[36],"often":[37,50],"suffer":[38],"from":[39,79],"severe":[40],"gradient":[41,71],"diffusion":[42],"due":[43],"to":[44,68],"non-linear":[46],"recurrent":[47,76,97],"activations,":[48],"which":[49,99],"make":[51],"optimization":[53],"much":[54],"more":[55],"difficult.":[56],"To":[57],"address":[58],"this":[59],"problem":[60],"we":[61],"propose":[62],"novel":[63],"linear":[64,88],"associative":[65,89],"units":[66],"(LAU)":[67],"reduce":[69],"propagation":[72],"length":[73],"inside":[74],"unit.":[77],"Different":[78],"conventional":[80],"approaches":[81],"(LSTM":[82],"unit":[83],"GRU),":[85],"LAUs":[86],"utilizes":[87],"connections":[90],"between":[91],"input":[92],"output":[94],"of":[95],"unit,":[98],"allows":[100],"unimpeded":[101],"information":[102],"flow":[103],"through":[104],"both":[105],"space":[106],"time":[108],"direction.":[109],"The":[110],"model":[111,129,160],"is":[112,117],"quite":[113],"simple,":[114],"but":[115],"it":[116],"surprisingly":[118],"effective.":[119],"Our":[120],"empirical":[121],"study":[122],"on":[123],"Chinese-English":[124],"translation":[125],"shows":[126],"that":[127],"our":[128,159],"proper":[131],"configuration":[132],"can":[133],"improve":[134],"by":[135],"11.7":[136],"BLEU":[137],"upon":[138],"Groundhog":[139],"best":[142],"reported":[143],"results":[144,163],"same":[147],"setting.":[148],"On":[149],"WMT14":[150,156],"English-German":[151],"task":[152],"a":[154],"larger":[155],"English-French":[157],"task,":[158],"achieves":[161],"comparable":[162],"state-of-the-art.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}