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• W2024078688 abstract "Tibetan-Chinese named entity extraction can effectively improve the performance of Tibetan-Chinese cross language question answering system, information retrieval, machine translation and other researches. In the condition of no practical Tibetan named entity recognition system and Tibetan-Chinese translation model, this paper proposes a method to extract Tibetan-Chinese entities based on comparable corpus and naturally annotated resources from webs. The main work of this paper is in the following: (1) Tibetan-Chinese comparable corpus construction. (2) Combining sentence length, word matching and boundary term features, using multi-feature fusion algorithm to obtain parallel sentences from comparable corpus. (3) Tibetan-Chinese entity mapping based on the maximum word continuous intersection model of parallel sentence. Finally, the experimental results show that our approach can effectively find Tibetan-Chinese cross language named entity." @default.
• W2024078688 created "2016-06-24" @default.
• W2024078688 creator A5039583318 @default.
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• W2024078688 creator A5085211629 @default.
• W2024078688 date "2014-12-01" @default.
• W2024078688 modified "2023-09-23" @default.
• W2024078688 title "Tibetan-Chinese cross language named entity extraction based on comparable corpus and naturally annotated resources" @default.
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• W2024078688 doi "https://doi.org/10.1109/cidm.2014.7008680" @default.
• W2024078688 hasPublicationYear "2014" @default.
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