Abstract
This paper proposes a title matching method for finding identical metadata records from multiple databases in different languages. To overcome the language barriers, we represent words in titles in different languages by using bilingual word embeddings that allow word similarities to be measured across languages. The proposed method can be used to link or integrate databases in different languages. We evaluate our proposed method’s effectiveness on the Japanese and English ukiyo-e print databases. We also compare the performance of our method with a method that relies on machine translation.
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Notes
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Japanese titles are from the Edo-Tokyo Museum; English titles are from the Metropolitan Museum of Art.
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Song, Y., Batjargal, B., Maeda, A. (2019). Title Matching for Finding Identical Metadata Records in Different Languages. In: Garoufallou, E., Fallucchi, F., William De Luca, E. (eds) Metadata and Semantic Research. MTSR 2019. Communications in Computer and Information Science, vol 1057. Springer, Cham. https://doi.org/10.1007/978-3-030-36599-8_40
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DOI: https://doi.org/10.1007/978-3-030-36599-8_40
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