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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Research on the Extraction of Wikipedia-Based Chinese-Khmer Named Entity Equivalents
verfasst von : Qing Xia, Xin Yan, Zhengtao Yu, Shengxiang Gao
Erschienen in: Natural Language Processing and Chinese Computing
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Named entity equivalent has been playing a significant role in the processing of cross-language information. However limited by the corpora resource, few in-depth studies have been made on the extraction of the bilingual Chinese-Khmer named entity equivalents. On account of this, this paper proposes a Wikipedia-based approach, utilizes the internal web links in Wikipedia and computes the feature similarity to extract the bilingual Chinese-Khmer named entity equivalents. The experimental result shows that good effect has been achieved when the entity equivalents are acquired through the internal web links in Wikipedia with F value up to 90.67%. Also it shows that the result is quite favorable when the bilingual Chinese-Khmer named entity equivalents are acquired through the computation of feature similarity, turning out that the method proposed in this paper is able to give better effect.