{"id":"https://openalex.org/W4412888869","doi":"https://doi.org/10.18653/v1/2025.findings-acl.83","title":"Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model","display_name":"Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888869","doi":"https://doi.org/10.18653/v1/2025.findings-acl.83"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.83","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.83","pdf_url":"https://aclanthology.org/2025.findings-acl.83.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.83.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033151808","display_name":"Minghan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Minghan Wang","raw_affiliation_strings":["Department of Data Science & AI , Monash University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science & AI , Monash University","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114847797","display_name":"Viet Thanh Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Viet Thanh Pham","raw_affiliation_strings":["Department of Data Science & AI , Monash University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science & AI , Monash University","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033606057","display_name":"Farhad Moghimifar","orcid":"https://orcid.org/0000-0002-4316-1782"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Farhad Moghimifar","raw_affiliation_strings":["Department of Data Science & AI , Monash University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science & AI , Monash University","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062855474","display_name":"Thuy-Trang Vu","orcid":"https://orcid.org/0009-0005-6296-4184"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thuy-Trang Vu","raw_affiliation_strings":["Department of Data Science & AI , Monash University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science & AI , Monash University","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":3.346,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9232632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1646","last_page":"1662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9941999912261963,"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":0.9941999912261963,"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":0.9786999821662903,"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":0.7543209195137024},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6756958365440369},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6288424730300903},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.47073519229888916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4538766145706177},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4104052484035492},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.32683876156806946},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08472022414207458},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08115068078041077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543209195137024},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6756958365440369},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6288424730300903},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.47073519229888916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4538766145706177},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4104052484035492},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32683876156806946},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08472022414207458},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08115068078041077},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.83","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.83","pdf_url":"https://aclanthology.org/2025.findings-acl.83.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.83","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.83","pdf_url":"https://aclanthology.org/2025.findings-acl.83.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888869.pdf","grobid_xml":"https://content.openalex.org/works/W4412888869.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W2775554247","https://openalex.org/W2883671469","https://openalex.org/W2728761353","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111","https://openalex.org/W4327642362","https://openalex.org/W2587014613"],"abstract_inverted_index":{"Despite":[0],"achieving":[1],"remarkable":[2],"performance,":[3],"machine":[4,32],"translation":[5,33,52,74],"(MT)":[6],"research":[7],"remains":[8],"underexplored":[9],"in":[10,16,40,47,59,87],"terms":[11],"of":[12,29,54,110],"translating":[13,41],"cultural":[14,48,79],"elements":[15],"languages,":[17],"such":[18,97],"as":[19,98],"idioms,":[20],"proverbs,":[21,42],"and":[22,35,57,81,101],"colloquial":[23],"expressions.This":[24],"paper":[25],"investigates":[26],"the":[27,68,108,114],"capability":[28],"state-of-the-art":[30],"neural":[31],"(NMT)":[34],"large":[36],"language":[37,63],"models":[38,70,86],"(LLMs)":[39],"which":[43],"are":[44,103],"deeply":[45],"rooted":[46],"contexts.We":[49],"construct":[50],"a":[51],"dataset":[53],"standalone":[55],"proverbs":[56,58],"conversation":[60],"for":[61,105,116],"four":[62],"pairs.Our":[64],"experiments":[65],"show":[66],"that":[67,92],"studied":[69],"can":[71],"achieve":[72],"good":[73],"between":[75],"languages":[76],"with":[77],"similar":[78],"backgrounds,":[80],"LLMs":[82],"generally":[83],"outperform":[84],"NMT":[85],"proverb":[88,111],"translation.Furthermore,":[89],"we":[90],"find":[91],"current":[93],"automatic":[94],"evaluation":[95,120],"metrics":[96],"BLEU,":[99],"CHRF++":[100],"COMET":[102],"inadequate":[104],"reliably":[106],"assessing":[107],"quality":[109],"translation,":[112],"highlighting":[113],"need":[115],"more":[117],"culturally":[118],"aware":[119],"metrics.":[121],"1":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
