{"id":"https://openalex.org/W2142669279","doi":"https://doi.org/10.3115/v1/w14-3363","title":"Linear Mixture Models for Robust Machine Translation","display_name":"Linear Mixture Models for Robust Machine Translation","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2142669279","doi":"https://doi.org/10.3115/v1/w14-3363","mag":"2142669279"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-3363","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w14-3363","pdf_url":"https://doi.org/10.3115/v1/w14-3363","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Statistical Machine Translation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/w14-3363","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078390032","display_name":"Marine Carpuat","orcid":"https://orcid.org/0000-0003-1693-0782"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Marine Carpuat","raw_affiliation_strings":["National Research Council, Canada"],"affiliations":[{"raw_affiliation_string":"National Research Council, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065257553","display_name":"Cyril Goutte","orcid":"https://orcid.org/0000-0003-4939-6555"},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cyril Goutte","raw_affiliation_strings":["National Academies of Sciences, Engineering, and Medicine, Washington, United States"],"affiliations":[{"raw_affiliation_string":"National Academies of Sciences, Engineering, and Medicine, Washington, United States","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090694771","display_name":"George Foster","orcid":null},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Foster","raw_affiliation_strings":["National Academies of Sciences, Engineering, and Medicine, Washington, United States"],"affiliations":[{"raw_affiliation_string":"National Academies of Sciences, Engineering, and Medicine, Washington, United States","institution_ids":["https://openalex.org/I197604219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078390032"],"corresponding_institution_ids":["https://openalex.org/I4210159778"],"apc_list":null,"apc_paid":null,"fwci":2.5371,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91376654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"499","last_page":"509"},"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":0.9994999766349792,"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/T13629","display_name":"Text Readability and Simplification","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.8627771139144897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8137088418006897},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7715463042259216},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7637900114059448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140844225883484},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6059133410453796},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5819489359855652},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5592070817947388},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5133806467056274},{"id":"https://openalex.org/keywords/repurposing","display_name":"Repurposing","score":0.49528542160987854},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4304325580596924},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42666754126548767},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.42293214797973633},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.412320077419281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08183440566062927}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.8627771139144897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8137088418006897},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7715463042259216},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7637900114059448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140844225883484},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6059133410453796},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5819489359855652},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5592070817947388},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5133806467056274},{"id":"https://openalex.org/C519536355","wikidata":"https://www.wikidata.org/wiki/Q21021151","display_name":"Repurposing","level":2,"score":0.49528542160987854},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4304325580596924},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42666754126548767},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.42293214797973633},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.412320077419281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08183440566062927},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/w14-3363","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w14-3363","pdf_url":"https://doi.org/10.3115/v1/w14-3363","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Statistical Machine Translation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.674.3209","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.3209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/W/W14/W14-3363.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.714.3164","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.714.3164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iro.umontreal.ca/%7Efoster/papers/linmix-wmt14.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-3363","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w14-3363","pdf_url":"https://doi.org/10.3115/v1/w14-3363","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Statistical Machine Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2142669279.pdf","grobid_xml":"https://content.openalex.org/works/W2142669279.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W298172948","https://openalex.org/W1848260265","https://openalex.org/W1905522558","https://openalex.org/W2095755718","https://openalex.org/W2124807415","https://openalex.org/W2132001515","https://openalex.org/W2137387514","https://openalex.org/W2146950091","https://openalex.org/W2158614781","https://openalex.org/W2250238837","https://openalex.org/W2250695194","https://openalex.org/W2251202280","https://openalex.org/W2340221426","https://openalex.org/W2356613612","https://openalex.org/W2406343028","https://openalex.org/W2408655637","https://openalex.org/W2892587090","https://openalex.org/W2912934387","https://openalex.org/W3202006521","https://openalex.org/W3203276480"],"related_works":["https://openalex.org/W1976073696","https://openalex.org/W3184846108","https://openalex.org/W3165804307","https://openalex.org/W3015936091","https://openalex.org/W4255790880","https://openalex.org/W2898767136","https://openalex.org/W2756978580","https://openalex.org/W4283211831","https://openalex.org/W2798287483","https://openalex.org/W2963261224"],"abstract_inverted_index":{"As":[0],"larger":[1],"and":[2,102],"more":[3],"diverse":[4],"parallel":[5],"texts":[6],"become":[7],"available,":[8],"how":[9],"can":[10,82],"we":[11,76],"lever-age":[12],"heterogeneous":[13,60,89],"data":[14],"to":[15,104,112],"train":[16],"robust":[17],"machine":[18,127],"translation":[19,24,85,128],"systems":[20],"that":[21,78],"achieve":[22],"good":[23],"quality":[25,86],"on":[26,53],"various":[27],"test":[28],"domains?":[29],"This":[30,116],"challenge":[31],"has":[32],"been":[33],"ad-dressed":[34],"so":[35],"far":[36],"by":[37],"repurposing":[38],"techniques":[39],"developed":[40],"for":[41,122],"domain":[42,71,100,132],"adaptation,":[43],"such":[44],"as":[45],"linear":[46,79],"mixture":[47,80,124],"models":[48,81,107],"which":[49],"combine":[50],"estimates":[51],"learned":[52],"homogeneous":[54],"sub-domains.":[55],"However,":[56],"learning":[57],"from":[58,65],"large":[59],"corpora":[61],"is":[62],"quite":[63],"different":[64],"standard":[66],"adaptation":[67,133],"tasks":[68],"with":[69],"clear":[70,130],"distinctions.":[72],"In":[73],"this":[74],"paper,":[75],"show":[77],"re-liably":[83],"improve":[84],"in":[87,126],"very":[88],"training":[90],"conditions,":[91],"even":[92],"if":[93],"the":[94,113],"mixtures":[95],"do":[96],"not":[97],"use":[98],"any":[99],"knowledge":[101],"attempt":[103],"learn":[105],"generic":[106],"rather":[108],"than":[109],"adapt":[110],"them":[111],"tar-get":[114],"domain.":[115],"surprising":[117],"finding":[118],"opens":[119],"new":[120],"perspectives":[121],"using":[123],"mod-els":[125],"beyond":[129],"cut":[131],"tasks.":[134],"1":[135]},"counts_by_year":[{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}