{"id":"https://openalex.org/W4408352975","doi":"https://doi.org/10.1109/icassp49660.2025.10889761","title":"Multilingual Parameter-Sharing Adapters: A Method for Optimizing Low-Resource Neural Machine Translation","display_name":"Multilingual Parameter-Sharing Adapters: A Method for Optimizing Low-Resource Neural Machine Translation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352975","doi":"https://doi.org/10.1109/icassp49660.2025.10889761"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100410611","display_name":"Yunlong Zhang","orcid":"https://orcid.org/0000-0002-6227-6956"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Zhang","raw_affiliation_strings":["Inner Mongolia University,School of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041092735","display_name":"Nan Chen","orcid":"https://orcid.org/0000-0002-2077-3284"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Chen","raw_affiliation_strings":["Inner Mongolia University,School of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008226894","display_name":"Yonghe Wang","orcid":"https://orcid.org/0000-0003-1647-1539"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghe Wang","raw_affiliation_strings":["Inner Mongolia University,School of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010464164","display_name":"Xiangdong Su","orcid":"https://orcid.org/0000-0001-8061-1474"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Su","raw_affiliation_strings":["Inner Mongolia University,School of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014372166","display_name":"Feilong Bao","orcid":"https://orcid.org/0000-0001-7312-1629"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Bao","raw_affiliation_strings":["Inner Mongolia University,School of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9534000158309937,"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":0.9534000158309937,"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":0.7822930216789246},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7751337289810181},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5262757539749146},{"id":"https://openalex.org/keywords/shared-resource","display_name":"Shared resource","score":0.4761909544467926},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.46599021553993225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4086265563964844},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3521941900253296},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2494892179965973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822930216789246},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7751337289810181},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5262757539749146},{"id":"https://openalex.org/C51332947","wikidata":"https://www.wikidata.org/wiki/Q1172305","display_name":"Shared resource","level":2,"score":0.4761909544467926},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.46599021553993225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4086265563964844},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3521941900253296},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2494892179965973},{"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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322216","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2933138175","https://openalex.org/W2946547492","https://openalex.org/W2963250244","https://openalex.org/W2970925270","https://openalex.org/W3001434439","https://openalex.org/W3035019713","https://openalex.org/W3096966601","https://openalex.org/W3174770825","https://openalex.org/W3200396895","https://openalex.org/W4385572748","https://openalex.org/W4385573887","https://openalex.org/W4386566338","https://openalex.org/W6631190155","https://openalex.org/W6730251247","https://openalex.org/W6738045163","https://openalex.org/W6739901393","https://openalex.org/W6759579507","https://openalex.org/W6781811055","https://openalex.org/W6784447870","https://openalex.org/W6789500345","https://openalex.org/W6790547227","https://openalex.org/W6796581206","https://openalex.org/W6797610904","https://openalex.org/W6862412920"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W3151736118","https://openalex.org/W4362495644","https://openalex.org/W2962780935","https://openalex.org/W2883671469","https://openalex.org/W2728761353","https://openalex.org/W2351310358","https://openalex.org/W2364109809","https://openalex.org/W2388204182","https://openalex.org/W2372939722"],"abstract_inverted_index":{"Adapter-based":[0],"Multilingual":[1],"Neural":[2],"Machine":[3],"Translation":[4],"(MNMT)":[5],"has":[6,117],"become":[7],"a":[8,60,77,85],"significant":[9],"approach":[10],"in":[11,35,63],"low-resource":[12,22,40,108],"language":[13,23],"translation":[14,93],"by":[15],"mitigating":[16],"data":[17],"imbalances":[18],"between":[19],"high-resource":[20,110],"and":[21,25,109],"pairs":[24],"reducing":[26],"training":[27],"costs.":[28],"However,":[29],"existing":[30],"adapter-based":[31],"methods":[32,49],"lack":[33],"generalization":[34],"cross-lingual":[36],"settings,":[37],"particularly":[38],"under":[39],"conditions,":[41],"where":[42],"their":[43],"scalability":[44],"is":[45,123],"limited.":[46],"Additionally,":[47],"current":[48],"often":[50],"introduce":[51,84],"independent":[52],"adapter":[53,80,102,115,132],"modules":[54],"for":[55],"each":[56],"language,":[57],"leading":[58],"to":[59,91],"linear":[61],"increase":[62],"model":[64],"parameters":[65,128],"with":[66],"the":[67,99,127,130],"number":[68],"of":[69,129],"languages.":[70],"To":[71],"address":[72],"these":[73],"challenges,":[74],"we":[75,83],"propose":[76],"multilingual":[78,100,113],"parameter-sharing":[79,101,114],"approach.":[81],"Moreover,":[82],"neural":[86],"architecture":[87],"search":[88],"(NAS)-based":[89],"strategy":[90],"improve":[92],"performance.":[94],"Experimental":[95],"results":[96],"demonstrate":[97],"that":[98],"exhibits":[103],"competitive":[104],"performance":[105],"on":[106],"both":[107],"datasets.":[111],"The":[112],"method":[116],"only":[118],"400K":[119],"trainable":[120],"parameters,":[121],"which":[122],"20\u00d7":[124],"lower":[125],"than":[126],"traditional":[131],"method.":[133]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
