Acquiring bilingual named entity translations from content-aligned corpora

Authors:
Tadashi Kumano;Hideki Kashioka;Hideki Tanaka;Takahiro Fukusima
Affiliations:
ATR Spoken Language Translation Research Laboratories, Kyoto, Japan;ATR Spoken Language Translation Research Laboratories, Kyoto, Japan;NHK Science and Technical Research Laboratories, Tokyo, Japan;Otemon Gakuin University, Osaka, Japan
Venue:
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Year:
2004

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Abstract

We propose a new method for acquiring bilingual named entity (NE) translations from non-literal, content-aligned corpora. It first recognizes NEs in each of a bilingual document pair using the NE extraction technique, then finds NE groups whose members share the same referent, and finally corresponds between bilingual NE groups. The exhaustive detection of NEs can potentially acquire translation pairs with broad coverage. The correspondences between bilingual NE groups are estimated based on the similarity of the appearance order in each document, and the corresponding performance came up to F(β=1) = 71.0% by using small bilingual dictionary together. The total performance for acquiring bilingual NE pairs through the overall process of extraction, grouping, and corresponding was F(β=1) = 58.8%.