Abstract
This paper proposes how to collect bilingual technical terms from Japanese-Chinese patent families. In the proposed method, the phrase translation table of a statistical machine translation model is used within the procedure of estimating Japanese-Chinese translation of technical terms. In this procedure, first, we extract Japanese technical terms from the Japanese side of parallel patent sentences. Then, we collect all the sentences that contain the extracted Japanese term. Next, we generate Chinese translation of the Japanese technical term, where we refer to the phrase translation table of a statistical machine translation model. Finally, we apply the Support Vector Machines (SVMs) to the task of identifying bilingual technical terms. As the overall performance, we achieve over 90 % precision with the condition of more than or equal to 60 % recall.
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Notes
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We collect Japanese-Chinese bilingual technical term pairs which are generated from an identical Japanese term into one subset. We do not separate them into more than one subsets.
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Dong, L., Long, Z., Utsuro, T., Mitsuhashi, T., Yamamoto, M. (2016). Collecting Bilingual Technical Terms from Japanese-Chinese Patent Families by SVM. In: Hasida, K., Purwarianti, A. (eds) Computational Linguistics. PACLING 2015. Communications in Computer and Information Science, vol 593. Springer, Singapore. https://doi.org/10.1007/978-981-10-0515-2_18
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DOI: https://doi.org/10.1007/978-981-10-0515-2_18
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