{"id":"https://openalex.org/W2983669550","doi":"https://doi.org/10.18653/v1/k19-1025","title":"Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning","display_name":"Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983669550","doi":"https://doi.org/10.18653/v1/k19-1025","mag":"2983669550"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k19-1025","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1025","pdf_url":"https://www.aclweb.org/anthology/K19-1025.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K19-1025.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075237838","display_name":"Xuewen Shi","orcid":"https://orcid.org/0000-0002-3930-0532"},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuewen Shi","raw_affiliation_strings":["Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","institution_ids":["https://openalex.org/I4210139765"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087631670","display_name":"Heyan Huang","orcid":"https://orcid.org/0000-0002-0320-7520"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyan Huang","raw_affiliation_strings":["Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","institution_ids":["https://openalex.org/I4210139765"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101433884","display_name":"Wenguan Wang","orcid":"https://orcid.org/0000-0002-0802-9567"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE","CN"],"is_corresponding":false,"raw_author_name":"Wenguan Wang","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, UAE","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, UAE","institution_ids":["https://openalex.org/I4210116052"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101796595","display_name":"Ping Jian","orcid":"https://orcid.org/0000-0001-7236-2922"},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Jian","raw_affiliation_strings":["Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","institution_ids":["https://openalex.org/I4210139765"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073550269","display_name":"Yi-Kun Tang","orcid":"https://orcid.org/0000-0001-5419-4769"},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Kun Tang","raw_affiliation_strings":["Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications","institution_ids":["https://openalex.org/I4210139765"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075237838"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I4210139765"],"apc_list":null,"apc_paid":null,"fwci":0.4335,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72796236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"270"},"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":0.9860000014305115,"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/machine-translation","display_name":"Machine translation","score":0.8538839817047119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8424299359321594},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7927054166793823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7058054208755493},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7014724612236023},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6942400932312012},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.6342008709907532},{"id":"https://openalex.org/keywords/evaluation-of-machine-translation","display_name":"Evaluation of machine translation","score":0.5667968392372131},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5638214945793152},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5065540075302124},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.438004732131958},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.4222431182861328},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3649468421936035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.338066041469574},{"id":"https://openalex.org/keywords/machine-translation-software-usability","display_name":"Machine translation software usability","score":0.26024603843688965}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8538839817047119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8424299359321594},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7927054166793823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7058054208755493},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7014724612236023},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6942400932312012},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.6342008709907532},{"id":"https://openalex.org/C135784402","wikidata":"https://www.wikidata.org/wiki/Q6958279","display_name":"Evaluation of machine translation","level":5,"score":0.5667968392372131},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5638214945793152},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5065540075302124},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.438004732131958},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.4222431182861328},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3649468421936035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.338066041469574},{"id":"https://openalex.org/C148526163","wikidata":"https://www.wikidata.org/wiki/Q6723733","display_name":"Machine translation software usability","level":4,"score":0.26024603843688965},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/k19-1025","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1025","pdf_url":"https://www.aclweb.org/anthology/K19-1025.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/k19-1025","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1025","pdf_url":"https://www.aclweb.org/anthology/K19-1025.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G466649759","display_name":null,"funder_award_id":"2017Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7429600474","display_name":null,"funder_award_id":"2017YFB1","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7661980316","display_name":null,"funder_award_id":"2017YFB1002103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8340078520","display_name":null,"funder_award_id":"2017YF","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8440137829","display_name":null,"funder_award_id":"61732005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8823009050","display_name":null,"funder_award_id":"2017YFB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2983669550.pdf","grobid_xml":"https://content.openalex.org/works/W2983669550.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W1753482797","https://openalex.org/W2101105183","https://openalex.org/W2116343275","https://openalex.org/W2124807415","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2183341477","https://openalex.org/W2525778437","https://openalex.org/W2546938941","https://openalex.org/W2547875792","https://openalex.org/W2555897561","https://openalex.org/W2565378226","https://openalex.org/W2567070169","https://openalex.org/W2576713500","https://openalex.org/W2581637843","https://openalex.org/W2595715041","https://openalex.org/W2601324753","https://openalex.org/W2607987856","https://openalex.org/W2613904329","https://openalex.org/W2622980782","https://openalex.org/W2758884106","https://openalex.org/W2937971956","https://openalex.org/W2962784628","https://openalex.org/W2962926939","https://openalex.org/W2963163972","https://openalex.org/W2963260202","https://openalex.org/W2963373786","https://openalex.org/W2963403868","https://openalex.org/W2963463964","https://openalex.org/W2963506925","https://openalex.org/W2963551569","https://openalex.org/W2963643760","https://openalex.org/W2963774520","https://openalex.org/W2963970792","https://openalex.org/W2964199361","https://openalex.org/W2964201867","https://openalex.org/W2964265128","https://openalex.org/W2964268978","https://openalex.org/W2964308564","https://openalex.org/W3148140980","https://openalex.org/W4237129069","https://openalex.org/W4294294142","https://openalex.org/W4298289240","https://openalex.org/W4307459710","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3204448004","https://openalex.org/W2962780935","https://openalex.org/W2122287718","https://openalex.org/W2532807140","https://openalex.org/W193726211","https://openalex.org/W2740094425","https://openalex.org/W3196981096","https://openalex.org/W4378619223","https://openalex.org/W2587602790","https://openalex.org/W3151736118"],"abstract_inverted_index":{"Neural":[0],"Machine":[1],"Translation":[2],"(NMT)":[3],"optimized":[4],"by":[5,32],"Maximum":[6],"Likelihood":[7],"Estimation":[8],"(MLE)":[9],"lacks":[10],"the":[11,27,34,60,67,99,130,136,139],"guarantee":[12],"of":[13],"translation":[14,31,56,107,124],"adequacy.":[15],"To":[16],"alleviate":[17],"this":[18],"problem,":[19],"we":[20,43],"propose":[21,77],"an":[22,71,87],"NMT":[23,68,118,140],"approach":[24],"that":[25,48,112],"heightens":[26],"adequacy":[28],"in":[29,94,101,106],"machine":[30],"transferring":[33],"semantic":[35,62,132],"knowledge":[36,63,133],"learned":[37,61],"from":[38,135],"bilingual":[39],"sentence":[40,52,84],"alignment.":[41],"Specifically,":[42],"first":[44],"design":[45],"a":[46,78],"discriminator":[47,100,137],"learns":[49],"to":[50,66,97,138],"estimate":[51],"aligning":[53],"score":[54],"over":[55],"candidates,":[57],"and":[58,122],"then":[59],"is":[64,92],"transfered":[65,134],"model":[69],"under":[70],"adversarial":[72],"learning":[73],"framework.":[74],"We":[75],"also":[76,128],"gated":[79],"self-attention":[80],"based":[81],"encoder":[82],"for":[83],"embedding.":[85],"Furthermore,":[86],"N":[88],"-pair":[89],"training":[90],"loss":[91],"introduced":[93],"our":[95,113],"framework":[96],"aid":[98],"better":[102],"capturing":[103],"lexical":[104],"evidence":[105],"candidates.":[108],"Experimental":[109],"results":[110],"show":[111],"proposed":[114],"method":[115],"outperforms":[116],"baseline":[117],"models":[119],"on":[120],"Chinese-to-English":[121],"English-to-German":[123],"tasks.":[125],"Further":[126],"analysis":[127],"indicates":[129],"detailed":[131],"model.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}