Paper Info
Title
Research on the Extraction of Wikipedia-Based Chinese-Khmer Named Entity Equivalents.
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-25207-0_32
NLPCC
Keywords
DocType
Volume
Named entity equivalents,Chinese-Khmer bilingual,Wikipedia,Transliteration model,Translation model
Conference
9362
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Qing Xia100.34
Xin Yan260.79
Zhengtao Yu346069.08
Shengxiang Gao455.17