{"id":"https://openalex.org/W4366148873","doi":"https://doi.org/10.1109/taslp.2023.3267618","title":"Can Pretrained English Language Models Benefit Non-English NLP Systems in Low-Resource Scenarios?","display_name":"Can Pretrained English Language Models Benefit Non-English NLP Systems in Low-Resource Scenarios?","publication_year":2023,"publication_date":"2023-04-17","ids":{"openalex":"https://openalex.org/W4366148873","doi":"https://doi.org/10.1109/taslp.2023.3267618"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2023.3267618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3267618","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5077329331","display_name":"Zewen Chi","orcid":"https://orcid.org/0000-0003-1615-1885"},"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":"Zewen Chi","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1615-1885","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087631670","display_name":"Heyan Huang","orcid":"https://orcid.org/0000-0002-0320-7520"},"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"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyan Huang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","Key Laboratory of Intelligent Information Processing and Information Security, Ministry of Industry and Information Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0320-7520","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing and Information Security, Ministry of Industry and Information Technology, Beijing, China","institution_ids":["https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036831783","display_name":"Luyang Liu","orcid":"https://orcid.org/0000-0002-9002-3788"},"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":"Luyang Liu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021489790","display_name":"Yu Bai","orcid":"https://orcid.org/0000-0003-2617-7536"},"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":"Yu Bai","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101496429","display_name":"Xiaoyan Gao","orcid":"https://orcid.org/0000-0003-2934-7916"},"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":"Xiaoyan Gao","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017626590","display_name":"Xian-Ling Mao","orcid":"https://orcid.org/0000-0001-6795-2311"},"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":"Xian-Ling Mao","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6795-2311","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8553,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91930209,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"1061","last_page":"1074"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.998199999332428,"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":0.8695693016052246},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7171602845191956},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7075509428977966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6501102447509766},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5680547952651978},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5233266353607178},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5080068111419678},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4393444359302521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8695693016052246},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7171602845191956},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7075509428977966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6501102447509766},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5680547952651978},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5233266353607178},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5080068111419678},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4393444359302521},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2023.3267618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3267618","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7920740482","display_name":null,"funder_award_id":"U19B2020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8878491478","display_name":null,"funder_award_id":"62172039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2156985047","https://openalex.org/W2742113707","https://openalex.org/W2891555348","https://openalex.org/W2896457183","https://openalex.org/W2952370363","https://openalex.org/W2952638691","https://openalex.org/W2963250244","https://openalex.org/W2963748441","https://openalex.org/W2963846996","https://openalex.org/W2963979492","https://openalex.org/W2965373594","https://openalex.org/W2970476646","https://openalex.org/W2970752815","https://openalex.org/W2970854433","https://openalex.org/W2971207485","https://openalex.org/W2973088264","https://openalex.org/W2986154550","https://openalex.org/W2996822578","https://openalex.org/W2998653236","https://openalex.org/W3001434439","https://openalex.org/W3011411500","https://openalex.org/W3016973796","https://openalex.org/W3034469191","https://openalex.org/W3034999214","https://openalex.org/W3035390927","https://openalex.org/W3035497479","https://openalex.org/W3039695075","https://openalex.org/W3044438666","https://openalex.org/W3045462440","https://openalex.org/W3100806282","https://openalex.org/W3102659883","https://openalex.org/W3103187652","https://openalex.org/W3105492289","https://openalex.org/W3105813095","https://openalex.org/W3106321930","https://openalex.org/W3152884768","https://openalex.org/W3156665996","https://openalex.org/W3169425228","https://openalex.org/W3169483174","https://openalex.org/W3171975879","https://openalex.org/W3175575876","https://openalex.org/W3175746962","https://openalex.org/W3175963743","https://openalex.org/W3176209443","https://openalex.org/W3177035927","https://openalex.org/W3186903869","https://openalex.org/W3209059054","https://openalex.org/W4236950558","https://openalex.org/W4287065445","https://openalex.org/W4288089799","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6685005437","https://openalex.org/W6739901393","https://openalex.org/W6762521896","https://openalex.org/W6763701032","https://openalex.org/W6765510844","https://openalex.org/W6766673545","https://openalex.org/W6767737316","https://openalex.org/W6769627184","https://openalex.org/W6769813899","https://openalex.org/W6770372225","https://openalex.org/W6771606970","https://openalex.org/W6778883912","https://openalex.org/W6779271971","https://openalex.org/W6781137661","https://openalex.org/W6796761347","https://openalex.org/W6797610904","https://openalex.org/W6840173457","https://openalex.org/W6999611261"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W2787993192","https://openalex.org/W4282827391","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W4405541655","https://openalex.org/W3128025644","https://openalex.org/W4386828785","https://openalex.org/W3098003361"],"abstract_inverted_index":{"Pretrained":[0],"language":[1,13,20,76,125,202,219,238],"models":[2],"have":[3],"achieved":[4],"great":[5],"success":[6,41],"in":[7,83,109,120,208,221],"a":[8,57,73,177,199],"wide":[9,178],"range":[10,179],"of":[11,53,124,142,180,216],"natural":[12],"processing":[14],"(NLP)":[15],"problems,":[16],"because":[17],"they":[18],"learn":[19],"representations":[21],"from":[22],"large-scale":[23,45,236],"text":[24,46,89],"corpora":[25,90],"and":[26,47,104,157,182],"can":[27,78],"adapt":[28],"to":[29,163,204,230],"downstream":[30,129,147,174],"tasks":[31,175],"by":[32],"finetuning":[33,158],"them":[34],"on":[35,43,172],"annotated":[36,48,92],"task":[37,206],"data.":[38,93],"However,":[39],"such":[40],"relies":[42],"both":[44],"data,":[49],"so":[50],"the":[51,121,132,135,140,152,165,214,217,228],"lack":[52],"training":[54,122],"data":[55,162],"is":[56],"major":[58],"practical":[59],"problem":[60],"for":[61,139],"many":[62],"languages,":[63,181],"especially":[64],"low-resource":[65,84,110,166],"languages.":[66,210],"In":[67,151],"this":[68],"paper,":[69],"we":[70,97,154,212],"explore":[71],"whether":[72],"pretrained":[74,200],"English":[75,201,218,237],"model":[77,126,203,220],"benefit":[79],"non-English":[80,161],"NLP":[81,233],"systems":[82,234],"scenarios,":[85],"i.e.,":[86],"with":[87,159,235],"limited":[88,160],"or":[91,128,146],"To":[94],"achieve":[95],"this,":[96],"first":[98],"propose":[99],"cross-lingual":[100,114],"knowledge":[101,115,145,188],"transfer":[102,116,141,189],"methods":[103,108,117,136,171,196],"then":[105],"validate":[106],"our":[107,113,170,195],"scenarios.":[111,167,224],"Specifically,":[112],"are":[118,137],"applied":[119],"stages":[123],"pretraining":[127,156],"finetuning.":[130],"At":[131],"two":[133],"stages,":[134],"designed":[138],"upstream":[143],"general":[144],"task-specific":[148],"knowledge,":[149],"respectively.":[150],"experiments,":[153],"perform":[155],"simulate":[164],"We":[168],"evaluate":[169],"ten":[173],"over":[176],"present":[183],"systematic":[184],"comparisons":[185],"among":[186],"various":[187,222],"methods.":[190],"Experimental":[191],"results":[192],"show":[193],"that":[194],"successfully":[197],"leverage":[198],"improve":[205,231],"performance":[207],"other":[209],"Besides,":[211],"demonstrate":[213],"multilinguality":[215],"application":[223],"Our":[225],"findings":[226],"imply":[227],"possibility":[229],"low-resource-language":[232],"models.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
