Machine Intelligence in Translation Studies: Transformative Digital Approaches for Culturally Inclusive Education

Machine Intelligence in Translation Studies: Transformative Digital Approaches for Culturally Inclusive Education

Berra Nur Acay (Cappadocia University, Turkey), Tuğba Nur Küçük (Mediterranean (Akdeniz) University, Turkey), Aylin Yardımcı (Kahramanmaraş Sütçü İmam Univeersity, Turkey), and Eda Başak Hancı-Azizoglu (Mediterranean (Akdeniz) University, Turkey)
DOI: 10.4018/979-8-3693-2591-9.ch005

Abstract

Translation has had the effect of introducing texts into new contexts, which is praised for opening up literature and other cultural artifacts to new audiences. Now that machine translation's capabilities have rapidly advanced to deliver and explain the context of the receiver part of the communication, it has become useful to humans in this modern era. Although there has been research on machine translation that has so far concentrated on the issues in machine learning, there is a lack of research paying attention to cultural aspects of translation with MT tools. Yet, the changes in the perception of language and culture along with the recent developments in technology have led to the question of whether AI tools are able to grasp the significance of culture in communication to be able to deliver the real meaning behind the context. Thus, the purpose of this applied linguistics study is to explore how transformative digital approaches may contribute to artificially intelligent language teaching styles by overcoming the weakness of the 21st century educational systems.
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