AI-Assisted Translation Technology Poses New Challenges to Translation Competence Development in Human Translators
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Abstract
Historically, major technological innovations have invariably brought transformative changes to various sectors of human society, and technology has played a crucial role in extending human capabilities. Currently, the application of generative artificial intelligence (GenAI) technology has resulted in significant breakthroughs in the field of translation, substantially transcending the capabilities of traditional machine translation (MT) tools. Traditional MT primarily relies on predefined rules and corpora for mechanical language conversion, whereas GenAI systems like ChatGPT and DeepSeek exhibit greater capacities to accurately understand the semantics, context, and cultural background of the text and can generate more natural and fluent translation outputs through deep learning and natural language processing. In addition, GenAI systems can automate the processing of large volumes of textual data, instantly producing high-quality drafts of translations, and continuously improve translation accuracy through ongoing learning and optimization (Wang & Chen, 2025).
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AI, Human Translators
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