<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-9OXZ1KSN/bb6a111a-bd63-46de-8c53-0b8e89b3e4b9/PDF"><dcterms:extent>308 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-9OXZ1KSN/27bda701-d8fd-45d7-aa3d-6eaf172c1fc5/TEXT"><dcterms:extent>72 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2004-2026"><edm:begin xml:lang="en">2004</edm:begin><edm:end xml:lang="en">2026</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:doc-9OXZ1KSN"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-SCXG6C82" /><dcterms:issued>2025</dcterms:issued><dc:creator>Davari, Hossein</dc:creator><dc:creator>Hassani, Ghodrat</dc:creator><dc:creator>Malekshahi, Marziyeh</dc:creator><dc:format xml:lang="sl">številka:1</dc:format><dc:format xml:lang="sl">letnik:22</dc:format><dc:format xml:lang="sl">str. 203-221</dc:format><dc:identifier>DOI:10.4312/elope.22.1.203-221</dc:identifier><dc:identifier>ISSN:1581-8918</dc:identifier><dc:identifier>COBISSID_HOST:271017987</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-9OXZ1KSN</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Založba Univerze v Ljubljani</dc:publisher><dcterms:isPartOf xml:lang="sl">ELOPE (Ljubljana)</dcterms:isPartOf><dc:subject xml:lang="en">copywriting</dc:subject><dc:subject xml:lang="sl">GPT-3</dc:subject><dc:subject xml:lang="en">large language model (LLM)</dc:subject><dc:subject xml:lang="en">marketing translation</dc:subject><dc:subject xml:lang="sl">pisanje oglasnih besedil</dc:subject><dc:subject xml:lang="en">transcreation</dc:subject><dc:subject xml:lang="sl">transkreacija</dc:subject><dc:subject xml:lang="sl">tržno prevajanje</dc:subject><dc:subject xml:lang="sl">velik jezikovni model (LLM)</dc:subject><dcterms:temporal rdf:resource="2004-2026" /><dc:title xml:lang="sl">AI-powered transcreation in global marketing| insights from Iran|</dc:title><dc:description xml:lang="sl">This study examines AI-powered transcreation’s role in improving cross-cultural brand communication. We employed GPT-3 to evaluate AI’s ability to enhance global marketing through improved translation and adaptation of brand messages. Traditional translation methods often fail to capture brand-specific emotional resonance across cultures, but AI tools may address this challenge. Our research compared 10 translation students and 10 professional translators in translating/transcreating brand taglines from Persian to English. An initial test without AI showed professionals outperforming students. After six weeks of GPT-3 training, however, students surpassed professionals, as judged by expert raters using standardized criteria. The findings indicate that targeted AI training can improve transcreation quality. The study also underscores the value of human judgment in crafting prompts and choosing optimal AI outputs. These results also offer insights for translation education, professional training, and global marketing strategies</dc:description><dc:description xml:lang="sl">Študija ugotavlja, kako lahko transkreacija (oz. preustvaritev), podprta z umetno inteligenco, izboljša medkulturno komuniciranje blagovne znamke. Z GPT-3 smo ovrednotili zmožnost UI, da s pomočjo izpopolnjenega prevoda in priredbo oglasnih sloganov okrepi trženje blagovne znamke. Klasični prevajalski pristopi pogosto ne zajamejo kulturno specifične čustvene note posamezne blagovne znamke, medtem ko se orodja UI s tem izzivom lahko spoprimejo. V raziskavi je 10 študentov in študentk prevajanja in 10 profesionalnih prevajalcev in prevajalk prevajalo/transkreativno prilagajalo perzijske oglasne slogane v angleščino. V začetnem preizkusu brez pomoči UI so bili profesionalni prevajalci in prevajalke uspešnejši, po šesttedenskem usposabljanju za delo z GPT-3 pa so študenti in študentke po oceni strokovne komisije, ki je upoštevala standardizirana merila, prehiteli profesionalce. Rezultati kažejo, da ciljno usposabljanje za delo z UI izboljša kakovost transkreacije. Študija kaže tudi na pomen človeške presoje pri oblikovanju napotkov in izbiri optimalnih odgovorov UI ter nudi tudi nove vpoglede za izobraževanje prevajalcev in prevajalk, strokovno usposabljanje in globalne tržne strategije</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:doc-9OXZ1KSN"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:doc-9OXZ1KSN" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:doc-9OXZ1KSN/bb6a111a-bd63-46de-8c53-0b8e89b3e4b9/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by-sa/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Ljubljani, Filozofska fakulteta</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:doc-9OXZ1KSN/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:doc-9OXZ1KSN" /></ore:Aggregation></rdf:RDF>