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This study focuses on the language-attached transfer restrictions in Chinese to English neural machine translation (NMT) of Tao Te Ching, an ancient Chinese philosophical text, which aims to identify and analyze the specific challenges and limitations encountered by NMT systems when translating linguistic features that are unique to the source language and how these challenges impact the accuracy and quality of the translated text in English. It contributes to the understanding of the complexities involved in machine translation of ancient Chinese texts and proposes strategies to mitigate the identified transfer restrictions, ultimately aiming to bridge the gap between machine translation capabilities and the richness of Chinese philosophical literature.
Wang Qing (Tue,) studied this question.