Using Cross-Cultural Machine Translation Technology to Promote Communication and Cooperation in English Courses

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XiaoLei Song, Yuan Cheng, Ting Zeng

Abstract

In an increasingly globalized world, effective cross-cultural communication and cooperation are paramount skills for individuals across various domains. This research paper investigates the integration of machine translation technology into English language courses as a means to enhance cross-cultural communication skills and foster cooperation among diverse linguistic communities. The study explores the efficacy of machine translation tools in facilitating language comprehension, expression, and interaction among learners from different cultural backgrounds. Drawing on both theoretical frameworks and empirical evidence, the paper examines the impact of machine translation on language learning outcomes, intercultural competence development, and collaborative learning experiences. Additionally, the research evaluates the perceptions, attitudes, and experiences of students and instructors towards the integration of machine translation technology in English language education. Through a combination of qualitative and quantitative analyses, this study contributes to the understanding of how technology can be leveraged to bridge linguistic and cultural divides in educational settings. The findings offer valuable insights into the potential benefits and challenges associated with the use of machine translation technology for promoting cross-cultural communication and cooperation in English courses, with implications for curriculum design, pedagogical practices, and future research in language education and technology-enhanced learning..

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