{"id":"https://openalex.org/W2166260152","doi":"https://doi.org/10.21437/interspeech.2011-552","title":"Robust speech translation by domain adaptation","display_name":"Robust speech translation by domain adaptation","publication_year":2011,"publication_date":"2011-08-27","ids":{"openalex":"https://openalex.org/W2166260152","doi":"https://doi.org/10.21437/interspeech.2011-552","mag":"2166260152"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2011-552","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101727205","display_name":"Xiaodong He","orcid":"https://orcid.org/0000-0002-9463-9168"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xiaodong He","raw_affiliation_strings":["(Microsoft)"],"affiliations":[{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671324","display_name":"Li Deng","orcid":"https://orcid.org/0000-0002-1014-0790"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Deng","raw_affiliation_strings":["(Microsoft)"],"affiliations":[{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101727205"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":2.1379,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89374871,"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":"2105","last_page":"2108"},"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":0.9990000128746033,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9973999857902527,"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/speech-translation","display_name":"Speech translation","score":0.850832462310791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.836755633354187},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.769708514213562},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7053971290588379},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.683010995388031},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6310906410217285},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6110406517982483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5371651649475098},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5371478199958801},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5224710702896118},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5024123191833496},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47832727432250977},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4341363310813904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3400998115539551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05930998921394348}],"concepts":[{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.850832462310791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.836755633354187},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.769708514213562},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7053971290588379},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.683010995388031},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6310906410217285},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6110406517982483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5371651649475098},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5371478199958801},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5224710702896118},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5024123191833496},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47832727432250977},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4341363310813904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3400998115539551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05930998921394348},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2011-552","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W84880661","https://openalex.org/W346349565","https://openalex.org/W1506371579","https://openalex.org/W1905522558","https://openalex.org/W1974967573","https://openalex.org/W2000223082","https://openalex.org/W2024539680","https://openalex.org/W2101105183","https://openalex.org/W2114483840","https://openalex.org/W2117051955","https://openalex.org/W2117278770","https://openalex.org/W2132001515","https://openalex.org/W2137387514","https://openalex.org/W2146574666","https://openalex.org/W2148861208","https://openalex.org/W2153800732","https://openalex.org/W2394860946"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W4301342010","https://openalex.org/W2997567050","https://openalex.org/W158465921","https://openalex.org/W3151736118","https://openalex.org/W2279116787","https://openalex.org/W2756978580","https://openalex.org/W2883671469","https://openalex.org/W2728761353","https://openalex.org/W4394775207"],"abstract_inverted_index":{"Speech":[0],"translation":[1,9,17,51,57,74,101,136],"tasks":[2,18],"usually":[3,20],"are":[4,19],"different":[5,33],"from":[6],"text-based":[7],"machine":[8,50],"tasks,":[10],"and":[11,70,111,117,126,129,139],"the":[12,43,90,119],"training":[13],"data":[14,68,109],"for":[15,123,134],"speech":[16,36,56,124,127],"very":[21],"limited.":[22],"Therefore,":[23],"domain":[24,64,94],"adaptation":[25,65],"is":[26],"crucial":[27],"to":[28,53],"achieve":[29],"robust":[30,100,120,135],"performance":[31,102],"across":[32,104],"conditions":[34,106],"in":[35,76],"translation.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"study":[42,60],"problem":[44],"of":[45,63,72],"adapting":[46],"a":[47,54,61,77],"general-domain,":[48],"writing-textstyle":[49],"system":[52],"travel-domain,":[55],"task.":[58],"We":[59,114],"variety":[62],"techniques,":[66],"including":[67],"selection":[69,110],"incorporation":[71],"multiple":[73,105],"models,":[75],"unified":[78],"decoding":[79],"process.":[80],"The":[81,96],"experimental":[82],"results":[83,97],"demonstrate":[84,99],"significant":[85],"BLEU":[86],"score":[87],"improvement":[88],"on":[89],"targeting":[91],"scenario":[92],"after":[93],"adaptation.":[95],"also":[98],"achieved":[103],"via":[107,137],"joint":[108],"model":[112],"combination.":[113],"finally":[115],"analyze":[116],"compare":[118],"techniques":[121],"developed":[122],"recognition":[125],"translation,":[128],"point":[130],"out":[131],"further":[132],"directions":[133],"variability-adaptive":[138],"discriminatively-adaptive":[140],"learning.":[141]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
