Evolving L2 Translation Competence in Light of Technological Turn
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F25%3A73636016" target="_blank" >RIV/61989592:15210/25:73636016 - isvavai.cz</a>
Result on the web
<a href="https://karolinum.cz/casopis/auc-philologica/rocnik-2025/cislo-2/rok-2025/clanek-15665" target="_blank" >https://karolinum.cz/casopis/auc-philologica/rocnik-2025/cislo-2/rok-2025/clanek-15665</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14712/24646830.2025.13" target="_blank" >10.14712/24646830.2025.13</a>
Alternative languages
Result language
angličtina
Original language name
Evolving L2 Translation Competence in Light of Technological Turn
Original language description
This paper explores the evolving landscape of second language (L2) translation competence in the context of technological advancements, particularly the impact of generative artificial intelligence (GenAI) and large language models. It addresses the growing need for L2 translation in response to globalization, the prominence of English as a global lingua franca, and market demands. The paper critically examines traditional views on directionality, notably the native-speaker principle, and explores how translation training must adapt to equip students with both linguistic and technological competences. A key focus is the integration of translation technologies, such as neural machine translation and GenAI, into translator training programs. It emphasizes the importance of developing critical digital literacy, ethical awareness, and adaptability, alongside traditional linguistic skills. The paper also offers practical training strategies and classroom activities to foster L2 translation competence, encouraging students to engage critically with technological tools while preserving the communicative intent of the text. In conclusion, the paper advocates for a dynamic, integrative approach to translation competence that prepares future professionals to navigate and leverage technological innovations in the translation field.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Universitatis Carolinae Philologica
ISSN
0567-8269
e-ISSN
2464-6830
Volume of the periodical
2025
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
17
Pages from-to
57-73
UT code for WoS article
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EID of the result in the Scopus database
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