{"id":"https://openalex.org/W4402402546","doi":"https://doi.org/10.1109/ialp63756.2024.10661153","title":"Cross-Lingual Word Embedding Generation Based on Procrustes-Hungarian Linear Projection","display_name":"Cross-Lingual Word Embedding Generation Based on Procrustes-Hungarian Linear Projection","publication_year":2024,"publication_date":"2024-08-04","ids":{"openalex":"https://openalex.org/W4402402546","doi":"https://doi.org/10.1109/ialp63756.2024.10661153"},"language":"en","primary_location":{"id":"doi:10.1109/ialp63756.2024.10661153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp63756.2024.10661153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Asian Language Processing (IALP)","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/A5086922668","display_name":"Hao Xing","orcid":"https://orcid.org/0000-0001-8346-3454"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Xing","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101137547","display_name":"Nier Wu","orcid":"https://orcid.org/0009-0006-2521-4058"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nier Wu","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002561409","display_name":"Yatu Ji","orcid":"https://orcid.org/0000-0001-6460-9921"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yatu Ji","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355884","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-4259-3882"},"institutions":[{"id":"https://openalex.org/I4210102494","display_name":"Inner Mongolia Electric Power Survey & Design Institute (China)","ror":"https://ror.org/01cg3n190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210102494"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Inner Mongolia Big Data Center,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia Big Data Center,Hohhot,China","institution_ids":["https://openalex.org/I4210102494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101973793","display_name":"Na Liu","orcid":"https://orcid.org/0000-0003-1611-5649"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Liu","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013361746","display_name":"Min Lu","orcid":"https://orcid.org/0000-0001-7503-1301"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Lu","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54586823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9843000173568726,"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/word-embedding","display_name":"Word embedding","score":0.704038143157959},{"id":"https://openalex.org/keywords/procrustes-analysis","display_name":"Procrustes analysis","score":0.5961188673973083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.595000147819519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5355211496353149},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5308229327201843},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5208473801612854},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5116363167762756},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39651036262512207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36339378356933594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35278820991516113},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.320787250995636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2542785406112671},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06880047917366028}],"concepts":[{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.704038143157959},{"id":"https://openalex.org/C2778585274","wikidata":"https://www.wikidata.org/wiki/Q2845240","display_name":"Procrustes analysis","level":2,"score":0.5961188673973083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.595000147819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5355211496353149},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5308229327201843},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5208473801612854},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5116363167762756},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39651036262512207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36339378356933594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35278820991516113},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.320787250995636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2542785406112671},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06880047917366028}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp63756.2024.10661153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp63756.2024.10661153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W342285082","https://openalex.org/W2126725946","https://openalex.org/W2222512263","https://openalex.org/W2460720124","https://openalex.org/W2493916176","https://openalex.org/W2561995736","https://openalex.org/W2563351168","https://openalex.org/W2741602058","https://openalex.org/W2788353357","https://openalex.org/W2890007195","https://openalex.org/W2899486018","https://openalex.org/W2958953787","https://openalex.org/W2963047628","https://openalex.org/W2963626623","https://openalex.org/W2964266061","https://openalex.org/W4299579390","https://openalex.org/W6679155404","https://openalex.org/W6731031554","https://openalex.org/W6744957266","https://openalex.org/W6755759118","https://openalex.org/W6765469073"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W2086570153","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255","https://openalex.org/W4287599800"],"abstract_inverted_index":{"The":[0,183],"scale":[1],"and":[2,49,52,138,161,180,198,209],"quality":[3,51],"of":[4,14,57,126],"data":[5],"in":[6],"low-resource":[7,99],"language":[8,203],"machine":[9],"translation":[10],"limit":[11],"the":[12,37,123,131,135,154,172,201],"development":[13],"word":[15,20,72,79,88,167,189],"embedding":[16,21,73,80,168,190],"techniques.":[17],"Supervised":[18],"cross-linguistic":[19,78,166,188],"requires":[22],"large-scale,":[23],"high-quality":[24],"seed":[25,115],"dictionaries,":[26],"making":[27],"construction":[28],"difficult.":[29],"Although":[30],"adversarial":[31],"learning":[32,85,148],"methods":[33,149],"provide":[34],"an":[35],"alternative,":[36],"alignment":[38,71,124],"accuracy":[39],"is":[40,108],"relatively":[41],"low":[42],"due":[43],"to":[44,62,76,121,143,164],"factors":[45],"such":[46],"as":[47],"generator":[48,163],"discriminator":[50,160],"noise.":[53],"Moreover,":[54],"multiple":[55],"alignments":[56],"words":[58],"across":[59],"languages":[60,92],"lead":[61],"error":[63],"propagation":[64],"issues.":[65],"This":[66],"paper":[67],"adopts":[68],"a":[69,94,104,111,159,162],"multilingual":[70],"method,":[74],"aiming":[75],"achieve":[77],"through":[81,119],"supervised":[82],"or":[83],"unsupervised":[84],"by":[86,157,195],"mapping":[87,106,155],"embeddings":[89],"from":[90],"different":[91],"into":[93],"shared":[95],"semantic":[96],"space.":[97],"For":[98],"tasks":[100],"lacking":[101],"supervision":[102],"signals,":[103],"rough":[105],"matrix":[107,156],"pre-learned":[109],"using":[110],"manually":[112],"constructed":[113],"bilingual":[114],"dictionary,":[116],"then":[117],"adjusted":[118],"optimization":[120],"solve":[122],"issue":[125],"low-frequency":[127],"words.":[128],"We":[129],"combine":[130],"Procrustes":[132],"method":[133,191],"with":[134],"Hungarian":[136],"algorithm":[137],"incorporate":[139],"Sinkhorn":[140],"entropy":[141],"regularization":[142],"reduce":[144],"computational":[145],"complexity.":[146],"Adversarial":[147],"are":[150],"also":[151],"employed,":[152],"optimizing":[153],"training":[158],"improve":[165],"quality.":[169],"Experiments":[170],"on":[171],"CCMT2019":[173],"corpus":[174],"for":[175,200],"Mongolian-Chinese":[176],"(Mo-Zh),":[177],"Uyghur-Chinese":[178],"(Ug-Zh),":[179],"Tibetan-Chinese":[181],"(Ti-Zh).":[182],"results":[184],"show":[185],"that":[186],"this":[187],"improves":[192],"BLEU":[193],"scores":[194],"1.79,":[196],"2.17,":[197],"1.45":[199],"three":[202],"pairs":[204],"respectively,":[205],"demonstrating":[206],"its":[207],"practicality":[208],"effectiveness.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}