{"id":"https://openalex.org/W4416033896","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1299","title":"An Evaluation Resource for Grounding Translation Errors","display_name":"An Evaluation Resource for Grounding Translation Errors","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416033896","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1299"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1299","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1299","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1299.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.1299.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108889154","display_name":"Sujin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sujin Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381636","display_name":"Kang Wang","orcid":"https://orcid.org/0000-0001-6566-835X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046385415","display_name":"Zixuan Zhou","orcid":"https://orcid.org/0000-0002-5159-2224"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zixuan Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089990864","display_name":"Xiangyu Duan","orcid":"https://orcid.org/0000-0002-7268-8823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangyu Duan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068457601","display_name":"Wanqun Zhang","orcid":"https://orcid.org/0000-0001-5264-1078"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanqun Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066326238","display_name":"Jinsong Su","orcid":"https://orcid.org/0000-0001-5606-7122"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinsong Su","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101484487","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-4082-7486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Zhang","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29665007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"23900","last_page":"23916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.5824999809265137,"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":0.5824999809265137,"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/T12031","display_name":"Speech and dialogue systems","score":0.031199999153614044,"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/T10126","display_name":"Logic, programming, and type systems","score":0.017899999395012856,"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/resource","display_name":"Resource (disambiguation)","score":0.4636000096797943},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.45890000462532043},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3140000104904175},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.2533999979496002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.621399998664856},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4636000096797943},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.45890000462532043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.398499995470047},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2825999855995178},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24950000643730164},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2483000010251999}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1299","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1299","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1299.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.1299","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1299","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1299.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":[{"id":"https://openalex.org/G5501069675","display_name":null,"funder_award_id":"62261160648","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416033896.pdf","grobid_xml":"https://content.openalex.org/works/W4416033896.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"fine-grained":[1],"error":[2,58,85,93,101,106,153,166],"analyses":[3,16],"by":[4,42],"LLMs":[5,32,43,52,139],"gain":[6],"more":[7,9],"and":[8,160],"attention":[10],"in":[11,56,98,147,164],"machine":[12],"translation,":[13],"but":[14],"these":[15],"do":[17,33],"not":[18,34],"ground":[19],"the":[20,23,26,38,73,78,81,87,92,100,105,115,123,129,152],"errors":[21],"to":[22,127],"reasons":[24,55],"why":[25],"annotated":[27],"text":[28],"spans":[29,107],"are":[30,111],"erroneous.If":[31],"know":[35,53],"such":[36,54],"reasons,":[37],"corrections":[39],"or":[40],"refinements":[41],"will":[44],"be":[45],"untrustworthy.In":[46],"this":[47,135],"paper,":[48],"we":[49,76,90,113,150],"check":[50],"whether":[51],"translation":[57,165],"grounding":[59,69,119,140,154],"task.We":[60],"manually":[61],"build":[62],"an":[63],"evaluation":[64,132],"resource":[65,136],"through":[66],"a":[67],"bi-directional":[68],"scheme":[70],"1":[71],".In":[72],"forward":[74],"direction,":[75,89],"annotate":[77,91],"explanation":[79,116,124],"of":[80,108],"reason":[82],"for":[83,155],"each":[84],"span.In":[86],"backward":[88],"span":[94,102],"given":[95],"its":[96],"explanation,":[97],"which":[99],"is":[103,117,142],"masked.If":[104],"both":[109,148],"directions":[110],"consistent,":[112],"deem":[114],"valid.Such":[118],"process":[120],"can":[121],"regulate":[122],"so":[125],"as":[126],"avoid":[128],"subjective":[130],"bias.The":[131],"results":[133],"on":[134],"show":[137],"that":[138],"ability":[141],"significantly":[143],"worse":[144],"than":[145],"human":[146],"directions.Furthermore,":[149],"apply":[151],"filtering":[156],"false":[157],"alarmed":[158],"errors,":[159],"achieve":[161],"significant":[162],"improvement":[163],"detection.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}
