{"id":"https://openalex.org/W2887920589","doi":"https://doi.org/10.18653/v1/d18-1103","title":"Rapid Adaptation of Neural Machine Translation to New Languages","display_name":"Rapid Adaptation of Neural Machine Translation to New Languages","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2887920589","doi":"https://doi.org/10.18653/v1/d18-1103","mag":"2887920589"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1103","pdf_url":"https://www.aclweb.org/anthology/D18-1103.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 2018 Conference on Empirical Methods in Natural 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/D18-1103.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068811427","display_name":"Graham Neubig","orcid":"https://orcid.org/0000-0002-2072-3789"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Graham Neubig","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085263462","display_name":"Junjie Hu","orcid":"https://orcid.org/0000-0002-1911-4361"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junjie Hu","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068811427"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":23.289,"has_fulltext":true,"cited_by_count":191,"citation_normalized_percentile":{"value":0.99493503,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"875","last_page":"880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965000152587891,"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":0.8765926957130432},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7660775184631348},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6948264837265015},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5395405292510986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5265489220619202},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.474018394947052},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46816086769104004},{"id":"https://openalex.org/keywords/bleu","display_name":"BLEU","score":0.4469701647758484},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4204913079738617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8765926957130432},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7660775184631348},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6948264837265015},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5395405292510986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5265489220619202},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.474018394947052},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46816086769104004},{"id":"https://openalex.org/C622187","wikidata":"https://www.wikidata.org/wiki/Q3500773","display_name":"BLEU","level":3,"score":0.4469701647758484},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4204913079738617},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1103","pdf_url":"https://www.aclweb.org/anthology/D18-1103.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1103","pdf_url":"https://www.aclweb.org/anthology/D18-1103.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3429874898","display_name":null,"funder_award_id":"LORELEI","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2887920589.pdf","grobid_xml":"https://content.openalex.org/works/W2887920589.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1753482797","https://openalex.org/W2013438303","https://openalex.org/W2081212507","https://openalex.org/W2103592412","https://openalex.org/W2120349760","https://openalex.org/W2133564696","https://openalex.org/W2162179097","https://openalex.org/W2550821151","https://openalex.org/W2555745756","https://openalex.org/W2752630748","https://openalex.org/W2785847164","https://openalex.org/W2798931235","https://openalex.org/W2962784628","https://openalex.org/W2962824887","https://openalex.org/W2963011474","https://openalex.org/W2963088995","https://openalex.org/W2963206679","https://openalex.org/W2963247703","https://openalex.org/W2963260927","https://openalex.org/W2963506925","https://openalex.org/W2963633299","https://openalex.org/W2963826397","https://openalex.org/W2963993537","https://openalex.org/W2964085268","https://openalex.org/W2964308564","https://openalex.org/W2965980827","https://openalex.org/W3167238645","https://openalex.org/W4294389941","https://openalex.org/W4298393544"],"related_works":["https://openalex.org/W2251802443","https://openalex.org/W2140460368","https://openalex.org/W2887289680","https://openalex.org/W2510503866","https://openalex.org/W1978161643","https://openalex.org/W2289817541","https://openalex.org/W3120880016","https://openalex.org/W3204941900","https://openalex.org/W2163942301","https://openalex.org/W2104127567"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"the":[3,46,112,116],"problem":[4],"of":[5,52,62,73,104],"adapting":[6],"neural":[7],"machine":[8],"translation":[9],"systems":[10],"to":[11,45,55,80,83,106],"new,":[12],"low-resourced":[13],"languages":[14],"(LRLs)":[15],"as":[16,20],"effectively":[17],"and":[18,38,75,114],"rapidly":[19],"possible.":[21],"We":[22,48],"propose":[23],"methods":[24,125],"based":[25],"on":[26,42,69],"starting":[27],"with":[28,108],"massively":[29,90],"multilingual":[30,91],"\"seed":[31],"models\",":[32],"which":[33],"can":[34],"be":[35],"trained":[36],"ahead-of-time,":[37],"then":[39],"continuing":[40],"training":[41],"data":[43,110],"related":[44],"LRL.":[47],"contrast":[49],"a":[50,56,71,76],"number":[51],"strategies,":[53],"leading":[54],"novel,":[57],"simple,":[58],"yet":[59],"effective":[60],"method":[61,120],"\"similar-language":[63],"regularization\",":[64],"where":[65],"we":[66],"jointly":[67],"train":[68],"both":[70],"LRL":[72,85,133],"interest":[74],"similar":[77],"high-resourced":[78],"language":[79],"prevent":[81],"over-fitting":[82],"small":[84],"data.":[86],"Experiments":[87],"demonstrate":[88],"that":[89,115],"models,":[92],"even":[93],"without":[94],"any":[95],"explicit":[96],"adaptation,":[97],"are":[98],"surprisingly":[99],"effective,":[100],"achieving":[101],"BLEU":[102,128],"scores":[103],"up":[105],"15.5":[107],"no":[109],"from":[111],"LRL,":[113],"proposed":[117],"similarlanguage":[118],"regularization":[119],"improves":[121],"over":[122,131],"other":[123],"adaptation":[124],"by":[126],"1.7":[127],"points":[129],"average":[130],"4":[132],"settings.":[134],"1":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":41},{"year":2020,"cited_by_count":54},{"year":2019,"cited_by_count":41},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
