{"id":"https://openalex.org/W4408278624","doi":"https://doi.org/10.1007/s40593-025-00465-x","title":"Creating Terminological Correspondence Recognition Tests with GPT-4: A Case Study in English-to-Turkish Translations in the Engineering Domain","display_name":"Creating Terminological Correspondence Recognition Tests with GPT-4: A Case Study in English-to-Turkish Translations in the Engineering Domain","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408278624","doi":"https://doi.org/10.1007/s40593-025-00465-x"},"language":"en","primary_location":{"id":"doi:10.1007/s40593-025-00465-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40593-025-00465-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40593-025-00465-x.pdf","source":{"id":"https://openalex.org/S171267539","display_name":"International Journal of Artificial Intelligence in Education","issn_l":"1560-4292","issn":["1560-4292","1560-4306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence in Education","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s40593-025-00465-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032932482","display_name":"Marina S\u00e1nchez-Torr\u00f3n","orcid":"https://orcid.org/0000-0001-6151-6586"},"institutions":[{"id":"https://openalex.org/I4210120805","display_name":"Faculty of 1000 (United States)","ror":"https://ror.org/02x5wxx17","country_code":"US","type":"company","lineage":["https://openalex.org/I4210101920","https://openalex.org/I4210120805"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marina S\u00e1nchez-Torr\u00f3n","raw_affiliation_strings":["1375 Broadway 14 Floor, New York, NY, 10018, USA"],"affiliations":[{"raw_affiliation_string":"1375 Broadway 14 Floor, New York, NY, 10018, USA","institution_ids":["https://openalex.org/I4210120805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053730986","display_name":"Egemen \u0130PEK","orcid":"https://orcid.org/0000-0002-1365-0526"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Egemen Ipek","raw_affiliation_strings":["Ghent University, Groot-Brittanni\u00eblaan 45, 9000, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Ghent University, Groot-Brittanni\u00eblaan 45, 9000, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065015858","display_name":"Vanessa Enr\u00edquez Ra\u00eddo","orcid":"https://orcid.org/0000-0002-5358-0059"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Vanessa Enr\u00edquez Ra\u00eddo","raw_affiliation_strings":["Department of Linguistics, Macquarie University, Sydney, NSW, 2113, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics, Macquarie University, Sydney, NSW, 2113, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065015858"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":11.3325,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97819707,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"4","first_page":"2185","last_page":"2201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9952999949455261,"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/T13629","display_name":"Text Readability and Simplification","score":0.9940000176429749,"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":0.759587287902832},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7541732788085938},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.7528979182243347},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.503961980342865},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4887685477733612},{"id":"https://openalex.org/keywords/competence","display_name":"Competence (human resources)","score":0.46998655796051025},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.4620622396469116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.435190886259079},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4322613775730133},{"id":"https://openalex.org/keywords/computer-assisted-translation","display_name":"Computer-assisted translation","score":0.4302235543727875},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42635446786880493},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.20958548784255981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759587287902832},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7541732788085938},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.7528979182243347},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.503961980342865},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4887685477733612},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.46998655796051025},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.4620622396469116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.435190886259079},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4322613775730133},{"id":"https://openalex.org/C110046852","wikidata":"https://www.wikidata.org/wiki/Q468495","display_name":"Computer-assisted translation","level":3,"score":0.4302235543727875},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42635446786880493},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.20958548784255981},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40593-025-00465-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40593-025-00465-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40593-025-00465-x.pdf","source":{"id":"https://openalex.org/S171267539","display_name":"International Journal of Artificial Intelligence in Education","issn_l":"1560-4292","issn":["1560-4292","1560-4306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence in Education","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40593-025-00465-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40593-025-00465-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40593-025-00465-x.pdf","source":{"id":"https://openalex.org/S171267539","display_name":"International Journal of Artificial Intelligence in Education","issn_l":"1560-4292","issn":["1560-4292","1560-4306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence in Education","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8500000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320591","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408278624.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W643950478","https://openalex.org/W2112630006","https://openalex.org/W2148659382","https://openalex.org/W2167487659","https://openalex.org/W2241424197","https://openalex.org/W2368451677","https://openalex.org/W2409602955","https://openalex.org/W2958420970","https://openalex.org/W3186081172","https://openalex.org/W4205718127","https://openalex.org/W4317547647","https://openalex.org/W4319460874","https://openalex.org/W4321499901","https://openalex.org/W4367179776","https://openalex.org/W4367678142","https://openalex.org/W4379599010","https://openalex.org/W4384694887","https://openalex.org/W4385488356","https://openalex.org/W4386428294","https://openalex.org/W4386850114","https://openalex.org/W4389520065","https://openalex.org/W4389524378","https://openalex.org/W4390940237","https://openalex.org/W4390971716","https://openalex.org/W4391018065","https://openalex.org/W4399808999","https://openalex.org/W7061537676"],"related_works":["https://openalex.org/W2345966427","https://openalex.org/W2010336863","https://openalex.org/W2380269411","https://openalex.org/W2978152272","https://openalex.org/W4310826298","https://openalex.org/W2566516706","https://openalex.org/W4226215123","https://openalex.org/W2027317339","https://openalex.org/W2086774483","https://openalex.org/W3009879162"],"abstract_inverted_index":{"Abstract":[0],"As":[1],"Machine":[2],"Translation":[3],"(MT)":[4],"technologies":[5],"become":[6],"more":[7],"advanced,":[8],"the":[9,35,45,86,96,120,130,139,158],"translation":[10,25,66,140,147],"errors":[11],"they":[12,94,161],"generate":[13],"are":[14,50,112,162],"often":[15],"increasingly":[16],"subtle.":[17],"When":[18],"MT":[19],"is":[20,63],"integrated":[21],"in":[22,138,145,157],"\u2018Human-in-the-Loop\u2019":[23],"(HITL)":[24],"workflows":[26],"for":[27,128,165],"specialized":[28,135],"domains,":[29],"successful":[30],"Post-Editing":[31],"(PE)":[32],"hinges":[33],"on":[34,119],"humans":[36],"involved":[37],"having":[38],"in-depth":[39],"subject":[40],"competence,":[41],"as":[42],"knowledge":[43],"of":[44,58,90,98,107,122,141,155],"specific":[46],"terminology":[47,136],"and":[48,77,101,109],"conventions":[49],"essential":[51],"to":[52,132],"produce":[53],"accurate":[54],"translations.":[55],"One":[56],"way":[57],"assessing":[59,129],"an":[60],"individual\u2019s":[61],"expertise":[62],"through":[64],"manual":[65,82],"tests,":[67,160],"a":[68,91,153],"method":[69],"traditionally":[70],"used":[71],"by":[72],"Language":[73],"Service":[74],"Providers":[75],"(LSPs)":[76],"translator":[78],"educators":[79],"alike.":[80],"While":[81,149],"evaluation":[83],"can":[84],"provide":[85],"most":[87],"comprehensive":[88],"overview":[89],"translator\u2019s":[92],"abilities,":[93],"have":[95],"disadvantage":[97],"being":[99],"time-consuming":[100],"costly,":[102],"especially":[103],"when":[104],"large":[105],"numbers":[106],"subjects":[108],"language":[110],"pairs":[111],"involved.":[113],"In":[114],"this":[115],"work,":[116],"we":[117],"report":[118],"experience":[121],"creating":[123],"automated":[124],"tests":[125],"with":[126],"GPT-4":[127],"ability":[131],"recognize":[133],"domain-specific":[134],"correspondence":[137],"English-to-Turkish":[142],"engineering":[143],"texts":[144],"HITL":[146],"workflows.":[148],"there":[150],"may":[151],"be":[152],"level":[154],"usefulness":[156],"resulting":[159],"not":[163],"fit":[164],"direct":[166],"implementation":[167],"without":[168],"further":[169],"refinement.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-05T07:30:30.508283","created_date":"2025-10-10T00:00:00"}
