Evolving L2 Translation Competence in Light of Technological Turn

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Evolving L2 Translation Competence in Light of Technological Turn

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Evolving L2 Translation Competence in Light of Technological Turn

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Carolinae Philologica

ISSN

0567-8269

e-ISSN

2464-6830

Svazek periodika

2025

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

17

Strana od-do

57-73

Kód UT WoS článku

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EID výsledku v databázi Scopus

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