{"id":"https://openalex.org/W4385275495","doi":"https://doi.org/10.1145/3594409.3594415","title":"Forward Translation to Mix Data for Speech Translation","display_name":"Forward Translation to Mix Data for Speech Translation","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4385275495","doi":"https://doi.org/10.1145/3594409.3594415"},"language":"en","primary_location":{"id":"doi:10.1145/3594409.3594415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594409.3594415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence","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/A5012101707","display_name":"Zhipeng Wang","orcid":"https://orcid.org/0009-0000-6140-4218"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-6140-4218","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673835","display_name":"XU Hong-jing","orcid":"https://orcid.org/0009-0005-9937-2756"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjing Xu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-9937-2756","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059533290","display_name":"Shuoying Chen","orcid":"https://orcid.org/0009-0006-6947-0053"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoying Chen","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0006-6947-0053","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yuhang Guo","orcid":"https://orcid.org/0009-0005-6343-285X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Guo","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-6343-285X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08051987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"182"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.8535629510879517},{"id":"https://openalex.org/keywords/speech-translation","display_name":"Speech translation","score":0.7578344345092773},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7261948585510254},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6279445290565491},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6134543418884277},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.5845146179199219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5727078318595886},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5417239665985107},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5028306841850281},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.48129740357398987},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.47223708033561707},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4427478015422821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06511437892913818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8535629510879517},{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.7578344345092773},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7261948585510254},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6279445290565491},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6134543418884277},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.5845146179199219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5727078318595886},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5417239665985107},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5028306841850281},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.48129740357398987},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.47223708033561707},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4427478015422821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06511437892913818},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594409.3594415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594409.3594415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2068902053","https://openalex.org/W2572044271","https://openalex.org/W2781528640","https://openalex.org/W2936774411","https://openalex.org/W2963122170","https://openalex.org/W3008837824","https://openalex.org/W3114610051","https://openalex.org/W3119059017","https://openalex.org/W3120749277","https://openalex.org/W3135348217","https://openalex.org/W3167238645","https://openalex.org/W3172698324","https://openalex.org/W3176382501","https://openalex.org/W4205879700","https://openalex.org/W6761144991"],"related_works":["https://openalex.org/W1571141552","https://openalex.org/W4391636338","https://openalex.org/W4386067343","https://openalex.org/W4294250823","https://openalex.org/W2093086151","https://openalex.org/W2883671469","https://openalex.org/W2728761353","https://openalex.org/W2972060578","https://openalex.org/W4285877427","https://openalex.org/W783305165"],"abstract_inverted_index":{"End-to-End":[0],"speech":[1,10,27,116],"translation":[2,28,91,117,121],"means":[3],"that":[4,111],"using":[5,38],"a":[6,54,71,81,124],"model":[7,82],"to":[8,74,93],"translate":[9],"in":[11,16,23],"one":[12],"language":[13],"into":[14],"text":[15,39],"another":[17],"language.":[18],"Currently,":[19],"the":[20,24,51,58,76,89,95,113,128],"main":[21],"challenge":[22],"field":[25],"of":[26,53,61,115],"is":[29],"data":[30,43,77,86],"scarcity.":[31],"Existing":[32],"works":[33,47],"solve":[34,75],"this":[35,67],"problem":[36],"by":[37],"information":[40],"or":[41],"applying":[42,88],"augmentation.":[44],"However,":[45],"these":[46],"only":[48],"focus":[49],"on":[50,101],"exploitation":[52],"single":[55],"corpus,":[56],"ignoring":[57],"full":[59],"use":[60],"existing":[62],"human-labeled":[63],"different-sources":[64],"data.":[65],"In":[66],"paper,":[68],"we":[69],"introduce":[70],"simple":[72],"method":[73,92,129],"scarcity":[78],"problem:":[79],"training":[80,96],"with":[83,119],"simply":[84],"mixed":[85],"and":[87,105],"forward":[90,120],"expand":[94],"set.":[97],"We":[98],"perform":[99],"experiments":[100,109],"covost":[102],"v2":[103],"French-English":[104],"mTEDx":[106],"French-English.":[107],"Our":[108],"demonstrate":[110],"combining":[112],"mixture":[114],"corpora":[118],"can":[122],"yield":[123],"better":[125],"result":[126],"than":[127],"without":[130],"mixing.":[131]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
