{"id":"https://openalex.org/W2948197522","doi":"https://doi.org/10.18653/v1/p19-1122","title":"Syntactically Supervised Transformers for Faster Neural Machine Translation","display_name":"Syntactically Supervised Transformers for Faster Neural Machine Translation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948197522","doi":"https://doi.org/10.18653/v1/p19-1122","mag":"2948197522"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1122","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1122","pdf_url":"https://www.aclweb.org/anthology/P19-1122.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1122.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081939790","display_name":"Nader Akoury","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nader Akoury","raw_affiliation_strings":["College of Information and Computer Sciences University of Massachusetts Amherst","University of Massachusetts, Amherst"],"affiliations":[{"raw_affiliation_string":"College of Information and Computer Sciences University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts, Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078893115","display_name":"Kalpesh Krishna","orcid":"https://orcid.org/0000-0001-6574-0817"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalpesh Krishna","raw_affiliation_strings":["College of Information and Computer Sciences University of Massachusetts Amherst","University of Massachusetts, Amherst"],"affiliations":[{"raw_affiliation_string":"College of Information and Computer Sciences University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts, Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082767919","display_name":"Mohit Iyyer","orcid":"https://orcid.org/0000-0001-7340-0804"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Iyyer","raw_affiliation_strings":["University of Massachusetts, Amherst"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081939790"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":6.6544,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97328793,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1269","last_page":"1281"},"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":0.9998999834060669,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9943000078201294,"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":0.7777515649795532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541508674621582},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6771574020385742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5554820895195007},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.470813125371933},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4644579589366913},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33227086067199707},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1265811026096344},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11177608370780945},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09469518065452576}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7777515649795532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541508674621582},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6771574020385742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5554820895195007},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.470813125371933},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4644579589366913},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33227086067199707},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1265811026096344},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11177608370780945},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09469518065452576},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/p19-1122","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1122","pdf_url":"https://www.aclweb.org/anthology/P19-1122.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.02780","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02780","pdf_url":"https://arxiv.org/pdf/1906.02780","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1122","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1122","pdf_url":"https://www.aclweb.org/anthology/P19-1122.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948197522.pdf","grobid_xml":"https://content.openalex.org/works/W2948197522.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2111142112","https://openalex.org/W2116316001","https://openalex.org/W2123442489","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2144002870","https://openalex.org/W2150378737","https://openalex.org/W2152263452","https://openalex.org/W2158388102","https://openalex.org/W2165666205","https://openalex.org/W2168966090","https://openalex.org/W2251222643","https://openalex.org/W2407166119","https://openalex.org/W2545625743","https://openalex.org/W2563574619","https://openalex.org/W2594047108","https://openalex.org/W2767206889","https://openalex.org/W2789543585","https://openalex.org/W2888882903","https://openalex.org/W2890501761","https://openalex.org/W2892213699","https://openalex.org/W2932376173","https://openalex.org/W2949680570","https://openalex.org/W2953130735","https://openalex.org/W2962784628","https://openalex.org/W2962788148","https://openalex.org/W2962969034","https://openalex.org/W2963126845","https://openalex.org/W2963403868","https://openalex.org/W2963434219","https://openalex.org/W2963532001","https://openalex.org/W2963536265","https://openalex.org/W2963648186","https://openalex.org/W2963736842","https://openalex.org/W2963876447","https://openalex.org/W2963946353","https://openalex.org/W2964026424","https://openalex.org/W2964089333","https://openalex.org/W2964308564","https://openalex.org/W4289302788","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3176018525","https://openalex.org/W2903533908","https://openalex.org/W2775554247","https://openalex.org/W2903810591","https://openalex.org/W2883671469","https://openalex.org/W2963499882","https://openalex.org/W3026554633","https://openalex.org/W2888520903","https://openalex.org/W2890256614","https://openalex.org/W2728761353"],"abstract_inverted_index":{"Standard":[0],"decoders":[1],"for":[2,19],"neural":[3],"machine":[4],"translation":[5,61],"autoregressively":[6,74],"generate":[7],"a":[8,76],"single":[9],"target":[10,85],"token":[11],"per":[12,48],"time":[13,49],"step,":[14],"which":[15,55,72],"slows":[16],"inference":[17,36,57],"especially":[18],"long":[20],"outputs.While":[21],"architectural":[22],"advances":[23],"such":[24],"as":[25],"the":[26,30,53,67,84,92,107],"Transformer":[27,70,110],"fully":[28],"parallelize":[29],"decoder":[31],"computations":[32],"at":[33],"training":[34],"time,":[35],"still":[37],"proceeds":[38],"sequentially.Recent":[39],"developments":[40],"in":[41,87],"nonand":[42],"semiautoregressive":[43],"decoding":[44],"produce":[45],"multiple":[46],"tokens":[47,86],"step":[50],"independently":[51],"of":[52,83,96],"others,":[54],"improves":[56],"speed":[58],"but":[59],"deteriorates":[60],"quality.In":[62],"this":[63],"work,":[64],"we":[65],"propose":[66],"syntactically":[68],"supervised":[69],"(SynST),":[71],"first":[73],"predicts":[75],"chunked":[77],"parse":[78],"tree":[79],"before":[80],"generating":[81],"all":[82],"one":[88],"shot":[89],"conditioned":[90],"on":[91,120],"predicted":[93],"parse.A":[94],"series":[95],"controlled":[97],"experiments":[98],"demonstrates":[99],"that":[100],"SynST":[101],"decodes":[102],"sentences":[103],"5":[104],"faster":[105],"than":[106,116],"baseline":[108],"autoregressive":[109],"while":[111],"achieving":[112],"higher":[113],"BLEU":[114],"scores":[115],"most":[117],"competing":[118],"methods":[119],"En-De":[121],"and":[122],"En-Fr":[123],"datasets.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
