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Enhancing Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems
March 19, 2024, 4:53 a.m. | Bo-Han Lu, Yi-Hsuan Lin, En-Shiun Annie Lee, Richard Tzong-Han Tsai
cs.CL updates on arXiv.org arxiv.org
Abstract: Machine translation focuses mainly on high-resource languages (HRLs), while low-resource languages (LRLs) like Taiwanese Hokkien are relatively under-explored. This study aims to address this gap by developing a dual translation model between Taiwanese Hokkien and both Traditional Mandarin Chinese and English. We employ a pre-trained LLaMA2-7B model specialized in Traditional Mandarin Chinese to leverage the orthographic similarities between Taiwanese Hokkien Han and Traditional Mandarin Chinese. Our comprehensive experiments involve translation tasks across various writing systems …
abstract arxiv chinese cs.cl english gap languages low machine machine translation study systems translation type writing
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