Abstract
Interlinking Asian resources on the Web is a significant, but mostly unexplored and undeveloped task. Toward the goal of interlinking Asian online resources effectively, we propose a novel method that links Chinese and Korean resources together on the basis of a new machine translation system, which is built upon a frequency-based model operated through the Google Ngram Viewer. The study results show that Chinese characters can be mapped to corresponding Korean characters with the average accuracy of 73.1 %. This research is differentiated from the extant research by focusing on the Chinese pronunciation system called Pinyin. The proposed approach is directly applicable to voice translation applications as well as textual translations applications.
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Acknowledgements
This work was supported by the IT R&D program of MSIP/KEIT. [10044494, WiseKB: Big data based self-evolving knowledge base and reasoning platform]
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Kim, E.J., Yi, M.Y. (2014). Toward Interlinking Asian Resources Effectively: Chinese to Korean Frequency-Based Machine Translation System. In: Kim, W., Ding, Y., Kim, HG. (eds) Semantic Technology. JIST 2013. Lecture Notes in Computer Science(), vol 8388. Springer, Cham. https://doi.org/10.1007/978-3-319-06826-8_6
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DOI: https://doi.org/10.1007/978-3-319-06826-8_6
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