{"id":"https://openalex.org/W4416035015","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.129","title":"A Benchmark for Translations Across Styles and Language Variants","display_name":"A Benchmark for Translations Across Styles and Language Variants","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035015","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.129"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.129","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.129","pdf_url":"https://aclanthology.org/2025.findings-emnlp.129.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: EMNLP 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-emnlp.129.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080281882","display_name":"Xin Tan","orcid":"https://orcid.org/0000-0001-9346-1196"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Tan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076654908","display_name":"Bowei Zou","orcid":"https://orcid.org/0000-0003-0416-7492"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bowei Zou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083501418","display_name":"AiTi Aw","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"AiTi Aw","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2389","last_page":"2402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.27399998903274536,"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":0.27399998903274536,"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/T10759","display_name":"Translation Studies and Practices","score":0.05469999834895134,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.026200000196695328,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5273000001907349},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.3571999967098236},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3034000098705292},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.3009999990463257},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.29319998621940613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292999982833862},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5827000141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562000274658203},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.39340001344680786},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2687000036239624}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.129","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.129","pdf_url":"https://aclanthology.org/2025.findings-emnlp.129.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: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.129","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.129","pdf_url":"https://aclanthology.org/2025.findings-emnlp.129.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: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035015.pdf","grobid_xml":"https://content.openalex.org/works/W4416035015.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"machine":[1],"translation":[2,17,24,26,63],"(MT)":[3],"rapidly":[4],"advances":[5],"in":[6,15,52,88],"bridging":[7],"global":[8],"communication":[9],"gaps,":[10],"there":[11],"is":[12],"growing":[13],"interest":[14],"variety-targeted":[16],"for":[18,75,141,150],"fine-grained":[19,80],"language":[20,67,138],"variants":[21],"and":[22,66,82,102,107,113,147],"specific":[23],"styles.This":[25],"variant":[27],"aims":[28],"to":[29,70],"generate":[30],"target":[31],"outputs":[32],"that":[33],"are":[34],"not":[35],"only":[36],"contextually":[37],"accurate":[38],"but":[39],"also":[40],"culturally":[41,89],"sensitive.However,":[42],"the":[43,62,76,111,121,125],"lack":[44],"of":[45,79,124,135],"comprehensive":[46],"evaluation":[47,78,127],"benchmarks":[48],"has":[49],"hindered":[50],"progress":[51],"this":[53,56,58,129,142],"field.To":[54],"bridge":[55],"gap,":[57],"work":[59],"focuses":[60],"on":[61],"across":[64,95],"styles":[65],"variants,":[68],"aiming":[69],"establish":[71],"a":[72],"robust":[73],"foundation":[74],"automatic":[77],"cultural":[81,101],"stylistic":[83],"nuances,":[84],"thereby":[85],"fostering":[86],"innovation":[87],"sensitive":[90],"translations.Specifically,":[91],"we":[92,119,131],"evaluate":[93],"translations":[94,134],"four":[96],"key":[97],"dimensions:":[98],"semantic":[99],"preservation,":[100],"regional":[103],"specificity,":[104],"expression":[105],"style,":[106],"fluency":[108],"at":[109],"both":[110],"word":[112],"sentence":[114],"levels.Through":[115],"detailed":[116],"human":[117],"evaluations,":[118],"validate":[120],"high":[122],"reliability":[123],"proposed":[126],"framework.On":[128],"basis,":[130],"thoroughly":[132],"assess":[133],"state-ofthe-art":[136],"large":[137],"models":[139],"(LLMs)":[140],"task,":[143],"highlighting":[144],"their":[145],"strengths":[146],"identifying":[148],"areas":[149],"future":[151],"improvement.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}
