{"id":"https://openalex.org/W2963571015","doi":"https://doi.org/10.18653/v1/w18-6324","title":"Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation","display_name":"Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963571015","doi":"https://doi.org/10.18653/v1/w18-6324","mag":"2963571015"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-6324","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6324","pdf_url":"https://www.aclweb.org/anthology/W18-6324.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 Third Conference on Machine Translation: Research Papers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-6324.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103221630","display_name":"Zhong Zhou","orcid":"https://orcid.org/0009-0007-1349-8994"},"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":"Zhong Zhou","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024736091","display_name":"Matthias Sperber","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Sperber","raw_affiliation_strings":["Karlsruhe Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023053982","display_name":"Alexander Waibel","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"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":["DE","US"],"is_corresponding":false,"raw_author_name":"Alexander Waibel","raw_affiliation_strings":["Carnegie Mellon University Karlsruhe Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020","https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103221630"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.7917,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89043151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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":0.9926000237464905,"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":0.8085886240005493},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6083411574363708},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5763896703720093},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5715545415878296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5697974562644958},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5539872050285339},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5182004570960999},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4924245774745941},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4906529486179352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8085886240005493},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6083411574363708},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5763896703720093},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5715545415878296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5697974562644958},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5539872050285339},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5182004570960999},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4924245774745941},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4906529486179352},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-6324","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6324","pdf_url":"https://www.aclweb.org/anthology/W18-6324.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 Third Conference on Machine Translation: Research Papers","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-6324","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6324","pdf_url":"https://www.aclweb.org/anthology/W18-6324.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 Third Conference on Machine Translation: Research Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963571015.pdf","grobid_xml":"https://content.openalex.org/works/W2963571015.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W867563","https://openalex.org/W1612167","https://openalex.org/W226908758","https://openalex.org/W581520866","https://openalex.org/W1519942606","https://openalex.org/W1523296404","https://openalex.org/W1582774210","https://openalex.org/W1588612820","https://openalex.org/W1613786138","https://openalex.org/W1615290298","https://openalex.org/W1905522558","https://openalex.org/W1987836480","https://openalex.org/W2041532239","https://openalex.org/W2056977501","https://openalex.org/W2086113723","https://openalex.org/W2086790982","https://openalex.org/W2091837092","https://openalex.org/W2101105183","https://openalex.org/W2109773689","https://openalex.org/W2118373646","https://openalex.org/W2123442489","https://openalex.org/W2129291393","https://openalex.org/W2148708890","https://openalex.org/W2220350356","https://openalex.org/W2250523604","https://openalex.org/W2251743902","https://openalex.org/W2294414088","https://openalex.org/W2344739886","https://openalex.org/W2402118343","https://openalex.org/W2466918907","https://openalex.org/W2474594890","https://openalex.org/W2476350068","https://openalex.org/W2509282593","https://openalex.org/W2525778437","https://openalex.org/W2550821151","https://openalex.org/W2555745756","https://openalex.org/W2618814295","https://openalex.org/W2733923050","https://openalex.org/W2740011246","https://openalex.org/W2756675017","https://openalex.org/W2775461895","https://openalex.org/W2783644437","https://openalex.org/W2784439163","https://openalex.org/W2903012348","https://openalex.org/W2950527759","https://openalex.org/W2962708992","https://openalex.org/W2962732637","https://openalex.org/W2962784628","https://openalex.org/W2963086938","https://openalex.org/W2963208801","https://openalex.org/W2963212250","https://openalex.org/W2963216505","https://openalex.org/W2963247703","https://openalex.org/W2963251942","https://openalex.org/W2963407669","https://openalex.org/W2964034111","https://openalex.org/W2964170290","https://openalex.org/W3214902392","https://openalex.org/W4243586225","https://openalex.org/W4293659209","https://openalex.org/W4303633609"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W4388145910","https://openalex.org/W2352448290","https://openalex.org/W1976205134","https://openalex.org/W2380820513","https://openalex.org/W2381570729","https://openalex.org/W2913146933","https://openalex.org/W2883671469"],"abstract_inverted_index":{"We":[0,37,75,149],"work":[1],"on":[2,102],"translation":[3,40,86,147],"from":[4],"rich-resource":[5],"languages":[6],"to":[7,91,107,161],"low-resource":[8,109],"languages.":[9],"The":[10],"main":[11],"challenges":[12,45],"we":[13,56,98,115,136],"identify":[14],"are":[15,159],"the":[16,28,58,61,92,108,138],"lack":[17],"of":[18,79],"lowresource":[19],"language":[20,49,110],"data,":[21],"effective":[22,72],"methods":[23],"for":[24,71,84],"cross-lingual":[25,73],"transfer,":[26],"and":[27,60,65,68,120],"variable-binding":[29,139],"problem":[30,140],"that":[31,42,100,122],"is":[32,111],"common":[33],"in":[34,81,153,164],"neural":[35],"systems.":[36],"build":[38],"a":[39,165],"system":[41],"addresses":[43],"these":[44],"using":[46,87],"eight":[47,88],"European":[48],"families":[50,89,105],"as":[51],"our":[52,157],"test":[53],"ground.":[54],"Firstly,":[55],"add":[57],"source":[59],"target":[62,133],"family":[63],"labels":[64],"study":[66,119],"intra-family":[67],"inter-family":[69],"influences":[70],"transfer.":[74],"achieve":[76],"an":[77,117,143],"improvement":[78],"+9.9":[80],"BLEU":[82],"score":[83],"English-Swedish":[85],"compared":[90],"single-family":[93],"multi-source":[94],"multi-target":[95],"baseline.":[96],"Moreover,":[97],"find":[99,121],"training":[101],"two":[103],"neighboring":[104],"closest":[106],"often":[112],"enough.":[113],"Secondly,":[114],"construct":[116],"ablation":[118],"reasonably":[123],"good":[124],"results":[125],"can":[126],"be":[127],"achieved":[128],"even":[129],"with":[130],"considerably":[131],"less":[132],"data.":[134],"Thirdly,":[135],"address":[137],"by":[141],"building":[142],"order-preserving":[144],"named":[145],"entity":[146],"model.":[148],"obtain":[150],"60.6%":[151],"accuracy":[152],"qualitative":[154],"evaluation":[155],"where":[156],"translations":[158,163],"akin":[160],"human":[162],"preliminary":[166],"study.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
