Assessing AI’s Impact on Translation in Language Acquisition
Assessing AI’s Impact on Translation in Language Acquisition
Author(s): Elena MuseanuSubject(s): Language studies, Language and Literature Studies, Foreign languages learning, Theoretical Linguistics, Applied Linguistics, Language acquisition, Sociolinguistics, Computational linguistics, Translation Studies
Published by: Editura Pro Universitaria
Keywords: Artificial Intelligence; Language Acquisition; Translation; Neural Machine Translation; Educational Technology; Multilingual Learning; Ethics in AI;
Summary/Abstract: The advent of Artificial Intelligence (AI) has transformed numerous aspects of language acquisition, notably translation practices. This article explores how AI tools have reshaped both the pedagogical and practical dimensions of translation in language learning, offering a detailed analysis of their impact on learners and educators alike. Through an examination of AI’s benefits — such as enhanced accessibility, real-time translation, and personalized learning — the study highlights how AI has made language acquisition more efficient and inclusive. It also explores how AI has contributed to enhancing comprehension, promoting linguistic proficiency, and fostering intercultural awareness by breaking down language barriers in educational and real-world settings. At the same time, the article addresses the potential drawbacks of AI integration, including the risk of dependency on automated translation tools, which may hinder critical thinking and deeper linguistic engagement. Ethical considerations, such as data privacy, algorithmic bias, and cultural sensitivity, are also examined, providing a nuanced perspective on the challenges AI poses in educational contexts. The study concludes by emphasizing the need for a balanced approach that combines AI tools with traditional methods to foster a more comprehensive, culturally rich, and effective language learning experience.
Journal: Crossing Boundaries in Culture and Communication
- Issue Year: 15/2024
- Issue No: 1
- Page Range: 183-192
- Page Count: 10
- Language: English
